From a94d93e6c73abf453c49093ecf44ce21022bbe96 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Wed, 6 Nov 2024 07:07:39 +0100
Subject: [PATCH 01/19] Update utilities in utils submodule.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 requirements.txt                              |   1 +
 .../utils/{cachefilestore.py => cacheutil.py} | 201 +++---
 src/akkudoktoreos/utils/datetimeutil.py       | 588 ++++++++++++------
 ...st_cachefilestore.py => test_cacheutil.py} |   4 +-
 tests/test_datetimeutil.py                    | 573 +++++++++++++++--
 5 files changed, 1041 insertions(+), 326 deletions(-)
 rename src/akkudoktoreos/utils/{cachefilestore.py => cacheutil.py} (79%)
 rename tests/{test_cachefilestore.py => test_cacheutil.py} (98%)

diff --git a/requirements.txt b/requirements.txt
index 79086d1..172edb0 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -8,4 +8,5 @@ timezonefinder==6.5.5
 deap==1.4.1
 requests==2.32.3
 pandas==2.2.3
+pendulum==3.0.0
 pydantic==2.10.1
diff --git a/src/akkudoktoreos/utils/cachefilestore.py b/src/akkudoktoreos/utils/cacheutil.py
similarity index 79%
rename from src/akkudoktoreos/utils/cachefilestore.py
rename to src/akkudoktoreos/utils/cacheutil.py
index 7de4a4b..8a27fef 100644
--- a/src/akkudoktoreos/utils/cachefilestore.py
+++ b/src/akkudoktoreos/utils/cacheutil.py
@@ -1,6 +1,4 @@
-"""cachefilestore.py.
-
-This module provides a class for in-memory managing of cache files.
+"""Class for in-memory managing of cache files.
 
 The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing
 temporary file objects, allowing the creation, retrieval, and management of cache files.
@@ -34,12 +32,23 @@
 import tempfile
 import threading
 from datetime import date, datetime, time, timedelta
-from typing import IO, Callable, Generic, List, Optional, ParamSpec, TypeVar, Union
-
-from akkudoktoreos.utils.datetimeutil import to_datetime, to_timedelta
+from typing import (
+    IO,
+    Any,
+    Callable,
+    Generic,
+    List,
+    Literal,
+    Optional,
+    ParamSpec,
+    TypeVar,
+    Union,
+)
+
+from akkudoktoreos.utils.datetimeutil import to_datetime, to_duration
 from akkudoktoreos.utils.logutil import get_logger
 
-logger = get_logger(__file__)
+logger = get_logger(__name__)
 
 
 T = TypeVar("T")
@@ -106,7 +115,7 @@ def _generate_cache_file_key(
 
         Args:
             key (str): The key that identifies the cache file.
-            until_datetime (Union[datetime, date, str, int, float, None]): The datetime
+            until_datetime (Optional[Any]): The datetime
                 until the cache file is valid. The default is the current date at maximum time
                 (23:59:59).
 
@@ -140,15 +149,15 @@ def _get_file_path(self, file_obj: IO[bytes]) -> Optional[str]:
 
     def _until_datetime_by_options(
         self,
-        until_date: Union[datetime, date, str, int, float, None] = None,
-        until_datetime: Union[datetime, date, str, int, float, None] = None,
+        until_date: Optional[Any] = None,
+        until_datetime: Optional[Any] = None,
         with_ttl: Union[timedelta, str, int, float, None] = None,
     ) -> datetime:
         """Get until_datetime from the given options."""
         if until_datetime:
             until_datetime = to_datetime(until_datetime)
         elif with_ttl:
-            with_ttl = to_timedelta(with_ttl)
+            with_ttl = to_duration(with_ttl)
             until_datetime = to_datetime(datetime.now() + with_ttl)
         elif until_date:
             until_datetime = to_datetime(to_datetime(until_date).date())
@@ -176,9 +185,9 @@ def _is_valid_cache_item(
     def _search(
         self,
         key: str,
-        until_datetime: Union[datetime, date, str, int, float, None] = None,
-        at_datetime: Union[datetime, date, str, int, float, None] = None,
-        before_datetime: Union[datetime, date, str, int, float, None] = None,
+        until_datetime: Optional[Any] = None,
+        at_datetime: Optional[Any] = None,
+        before_datetime: Optional[Any] = None,
     ) -> Optional[tuple[str, IO[bytes], datetime]]:
         """Searches for a cached item that matches the key and falls within the datetime range.
 
@@ -188,12 +197,10 @@ def _search(
 
         Args:
             key (str): The key to identify the cache item.
-            until_date (Union[datetime, date, str, int, float, None], optional): The date
+            until_date (Optional[Any]): The date
                 until the cache file is valid. Time of day is set to maximum time (23:59:59).
-            at_datetime (Union[datetime, date, str, int, float], optional): The datetime to compare with
-                the cache item's datetime.
-            before_datetime (Union[datetime, date, str, int, float], optional): The datetime to compare
-                the cache item's datetime to be before.
+            at_datetime (Optional[Any]): The datetime to compare with the cache item's datetime.
+            before_datetime (Optional[Any]): The datetime to compare the cache item's datetime to be before.
 
         Returns:
             Optional[tuple]: Returns the cache_file_key, chache_file, cache_file_datetime if found,
@@ -235,8 +242,8 @@ def _search(
     def create(
         self,
         key: str,
-        until_date: Union[datetime, date, str, int, float, None] = None,
-        until_datetime: Union[datetime, date, str, int, float, None] = None,
+        until_date: Optional[Any] = None,
+        until_datetime: Optional[Any] = None,
         with_ttl: Union[timedelta, str, int, float, None] = None,
         mode: str = "wb+",
         delete: bool = False,
@@ -249,9 +256,9 @@ def create(
 
         Args:
             key (str): The key to store the cache file under.
-            until_date (Union[datetime, date, str, int, float, None], optional): The date
+            until_date (Optional[Any]): The date
                 until the cache file is valid. Time of day is set to maximum time (23:59:59).
-            until_datetime (Union[datetime, date, str, int, float, None], optional): The datetime
+            until_datetime (Optional[Any]): The datetime
                 until the cache file is valid. Time of day is set to maximum time (23:59:59) if not
                 provided.
             with_ttl (Union[timedelta, str, int, float, None], optional): The time to live that
@@ -293,8 +300,8 @@ def set(
         self,
         key: str,
         file_obj: IO[bytes],
-        until_date: Union[datetime, date, str, int, float, None] = None,
-        until_datetime: Union[datetime, date, str, int, float, None] = None,
+        until_date: Optional[Any] = None,
+        until_datetime: Optional[Any] = None,
         with_ttl: Union[timedelta, str, int, float, None] = None,
     ) -> None:
         """Stores a file-like object in the cache under the specified key and date.
@@ -305,9 +312,9 @@ def set(
         Args:
             key (str): The key to store the file object under.
             file_obj: The file-like object.
-            until_date (Union[datetime, date, str, int, float, None], optional): The date
+            until_date (Optional[Any]): The date
                 until the cache file is valid. Time of day is set to maximum time (23:59:59).
-            until_datetime (Union[datetime, date, str, int, float, None], optional): The datetime
+            until_datetime (Optional[Any]): The datetime
                 until the cache file is valid. Time of day is set to maximum time (23:59:59) if not
                 provided.
             with_ttl (Union[timedelta, str, int, float, None], optional): The time to live that
@@ -333,10 +340,10 @@ def set(
     def get(
         self,
         key: str,
-        until_date: Union[datetime, date, str, int, float, None] = None,
-        until_datetime: Union[datetime, date, str, int, float, None] = None,
-        at_datetime: Union[datetime, date, str, int, float, None] = None,
-        before_datetime: Union[datetime, date, str, int, float, None] = None,
+        until_date: Optional[Any] = None,
+        until_datetime: Optional[Any] = None,
+        at_datetime: Optional[Any] = None,
+        before_datetime: Optional[Any] = None,
     ) -> Optional[IO[bytes]]:
         """Retrieves the cache file associated with the given key and validity datetime.
 
@@ -345,15 +352,15 @@ def get(
 
         Args:
             key (str): The key to retrieve the cache file for.
-            until_date (Union[datetime, date, str, int, float, None], optional): The date
+            until_date (Optional[Any]): The date
                 until the cache file is valid. Time of day is set to maximum time (23:59:59).
-            until_datetime (Union[datetime, date, str, int, float, None], optional): The datetime
+            until_datetime (Optional[Any]): The datetime
                 until the cache file is valid. Time of day is set to maximum time (23:59:59) if not
                 provided.
-            at_datetime (Union[datetime, date, str, int, float, None], optional): The datetime the
+            at_datetime (Optional[Any]): The datetime the
                 cache file shall be valid at. Time of day is set to maximum time (23:59:59) if not
                 provided. Defaults to the current datetime if None is provided.
-            before_datetime (Union[datetime, date, str, int, float, None], optional): The datetime
+            before_datetime (Optional[Any]): The datetime
                 to compare the cache files datetime to be before.
 
         Returns:
@@ -385,9 +392,9 @@ def get(
     def delete(
         self,
         key: str,
-        until_date: Union[datetime, date, str, int, float, None] = None,
-        until_datetime: Union[datetime, date, str, int, float, None] = None,
-        before_datetime: Union[datetime, date, str, int, float, None] = None,
+        until_date: Optional[Any] = None,
+        until_datetime: Optional[Any] = None,
+        before_datetime: Optional[Any] = None,
     ) -> None:
         """Deletes the cache file associated with the given key and datetime.
 
@@ -395,12 +402,12 @@ def delete(
 
         Args:
             key (str): The key of the cache file to delete.
-            until_date (Union[datetime, date, str, int, float, None], optional): The date
+            until_date (Optional[Any]): The date
                 until the cache file is valid. Time of day is set to maximum time (23:59:59).
-            until_datetime (Union[datetime, date, str, int, float, None], optional): The datetime
+            until_datetime (Optional[Any]): The datetime
                 until the cache file is valid. Time of day is set to maximum time (23:59:59) if not
                 provided.
-            before_datetime (Union[datetime, date, str, int, float, None], optional): The datetime
+            before_datetime (Optional[Any]): The datetime
                 the cache file shall become or be invalid at. Time of day is set to maximum time
                 (23:59:59) if not provided. Defaults to tommorow start of day.
         """
@@ -441,13 +448,13 @@ def delete(
     def clear(
         self,
         clear_all: bool = False,
-        before_datetime: Union[datetime, date, str, int, float, None] = None,
+        before_datetime: Optional[Any] = None,
     ) -> None:
         """Deletes all cache files or those expiring before `before_datetime`.
 
         Args:
             clear_all (bool, optional): Delete all cache files. Default is False.
-            before_datetime (Union[datetime, date, str, int, float, None], optional): The
+            before_datetime (Optional[Any]): The
                 threshold date. Cache files that are only valid before this date will be deleted.
                 The default datetime is beginning of today.
 
@@ -506,77 +513,108 @@ def clear(
 
 def cache_in_file(
     ignore_params: List[str] = [],
-    until_date: Union[datetime, date, str, int, float, None] = None,
-    until_datetime: Union[datetime, date, str, int, float, None] = None,
+    force_update: Optional[bool] = None,
+    until_date: Optional[Any] = None,
+    until_datetime: Optional[Any] = None,
     with_ttl: Union[timedelta, str, int, float, None] = None,
-    mode: str = "wb+",
+    mode: Literal["w", "w+", "wb", "wb+", "r", "r+", "rb", "rb+"] = "wb+",
     delete: bool = False,
     suffix: Optional[str] = None,
 ) -> Callable[[Callable[Param, RetType]], Callable[Param, RetType]]:
-    """Decorator to cache the output of a function into a temporary file.
-
-    The decorator caches function output to a cache file based on its inputs as key to identify the
-    cache file. Ignore parameters are used to avoid key generation on non-deterministic inputs, such
-    as time values. We can also ignore parameters that are slow to serialize/constant across runs,
-    such as large objects.
+    """Cache the output of a function into a temporary file.
 
-    The cache file is created using `CacheFileStore` and stored with the generated key.
-    If the file exists in the cache and has not expired, it is returned instead of recomputing the
-    result.
+    This decorator caches the result of a function call in a temporary file. The cache is
+    identified by a key derived from the function's input arguments, excluding those specified
+    in `ignore_params`. This is useful for caching results of expensive computations while
+    avoiding redundant recalculations.
 
-    The decorator scans the arguments of the decorated function for a 'until_date' or
-    'until_datetime` or `with_ttl` or `force_update` parameter. The value of this parameter will be
-    used instead of the one given in the decorator if available.
+    The cache file is created using `CacheFileStore` and stored with the generated key. If a valid
+    cache file exists, it is returned instead of recomputing the result. The cache expiration is
+    controlled by the `until_date`, `until_datetime`, `with_ttl`, or `force_update` arguments.
+    If these arguments are present in the function call, their values override those specified in
+    the decorator.
 
-    Content of cache files without a suffix are transparently pickled to save file space.
+    By default, cache files are pickled to save storage space unless a `suffix` is provided. The
+    `mode` parameter allows specifying file modes for reading and writing, and the `delete`
+    parameter controls whether the cache file is deleted after use.
 
     Args:
         ignore_params (List[str], optional):
-        until_date (Union[datetime, date, str, int, float, None], optional): The date
-            until the cache file is valid. Time of day is set to maximum time (23:59:59).
-        until_datetime (Union[datetime, date, str, int, float, None], optional): The datetime
-            until the cache file is valid. Time of day is set to maximum time (23:59:59) if not
-            provided.
-        with_ttl (Union[timedelta, str, int, float, None], optional): The time to live that
-            the cache file is valid. Time starts now.
-        mode (str, optional): The mode in which the file will be opened. Defaults to 'wb+'.
-        delete (bool, optional): Whether the cache file will be deleted after being closed.
-            Defaults to False.
-        suffix (str, optional): A suffix for the cache file, such as an extension (e.g., '.txt').
-            Defaults to None.
+            List of parameter names to ignore when generating the cache key. Useful for excluding
+            non-deterministic or irrelevant inputs, such as timestamps or large constant objects.
+        force_update (bool, optional):
+            Forces the cache to update, bypassing any existing cached results. If not provided,
+            the function will check for a `force_update` argument in the decorated function call.
+        until_date (Optional[Any], optional):
+            Date until which the cache file is valid. If a date is provided, the time is set to
+            the end of the day (23:59:59). If not specified, the function call arguments are checked.
+        until_datetime (Optional[Any], optional):
+            Datetime until which the cache file is valid. Time of day is set to maximum time
+            (23:59:59) if not provided.
+        with_ttl (Union[timedelta, str, int, float, None], optional):
+            Time-to-live (TTL) for the cache file, starting from the time of caching. Can be
+            specified as a `timedelta`, a numeric value (in seconds), or a string.
+        mode (Literal["w", "w+", "wb", "wb+", "r", "r+", "rb", "rb+"], optional):
+            File mode for opening the cache file. Defaults to "wb+" (write-binary with updates).
+        delete (bool, optional):
+            If True, deletes the cache file after it is closed. Defaults to False.
+        suffix (Optional[str], optional):
+            A file suffix (e.g., ".txt" or ".json") for the cache file. Defaults to None. If not
+            provided, files are pickled by default.
 
     Returns:
-        callable: A decorated function that caches its result in a file.
+        Callable[[Callable[Param, RetType]], Callable[Param, RetType]]:
+            A decorated function that caches its result in a temporary file.
 
     Example:
-        >>> @cache_in_file(suffix = '.txt')
-        >>> def expensive_computation(until_date = None):
+        >>> from datetime import date
+        >>> @cache_in_file(suffix='.txt')
+        >>> def expensive_computation(until_date=None):
         >>>     # Perform some expensive computation
         >>>     return 'Some large result'
         >>>
-        >>> result = expensive_computation(until_date = date.today())
+        >>> result = expensive_computation(until_date=date.today())
+
+    Notes:
+        - The cache key is based on the function arguments after excluding those in `ignore_params`.
+        - If conflicting expiration parameters are provided (`until_date`, `until_datetime`,
+          `with_ttl`), the one in the function call takes precedence.
     """
 
     def decorator(func: Callable[Param, RetType]) -> Callable[Param, RetType]:
-        nonlocal ignore_params, until_date, until_datetime, with_ttl, mode, delete, suffix
+        nonlocal \
+            ignore_params, \
+            force_update, \
+            until_date, \
+            until_datetime, \
+            with_ttl, \
+            mode, \
+            delete, \
+            suffix
         func_source_code = inspect.getsource(func)
 
         def wrapper(*args: Param.args, **kwargs: Param.kwargs) -> RetType:
-            nonlocal ignore_params, until_date, until_datetime, with_ttl, mode, delete, suffix
+            nonlocal \
+                ignore_params, \
+                force_update, \
+                until_date, \
+                until_datetime, \
+                with_ttl, \
+                mode, \
+                delete, \
+                suffix
             # Convert args to a dictionary based on the function's signature
             args_names = func.__code__.co_varnames[: func.__code__.co_argcount]
             args_dict = dict(zip(args_names, args))
 
             # Search for caching parameters of function and remove
-            force_update: Optional[bool] = None
             for param in ["force_update", "until_datetime", "with_ttl", "until_date"]:
                 if param in kwargs:
                     if param == "force_update":
                         force_update = kwargs[param]  # type: ignore[assignment]
                         kwargs.pop("force_update")
-
                     if param == "until_datetime":
-                        until_datetime = kwargs[param]  # type: ignore[assignment]
+                        until_datetime = kwargs[param]
                         until_date = None
                         with_ttl = None
                     elif param == "with_ttl":
@@ -585,8 +623,9 @@ def wrapper(*args: Param.args, **kwargs: Param.kwargs) -> RetType:
                         with_ttl = kwargs[param]  # type: ignore[assignment]
                     elif param == "until_date":
                         until_datetime = None
-                        until_date = kwargs[param]  # type: ignore[assignment]
+                        until_date = kwargs[param]
                         with_ttl = None
+                    kwargs.pop("force_update", None)
                     kwargs.pop("until_datetime", None)
                     kwargs.pop("until_date", None)
                     kwargs.pop("with_ttl", None)
diff --git a/src/akkudoktoreos/utils/datetimeutil.py b/src/akkudoktoreos/utils/datetimeutil.py
index ccc7d20..101af25 100644
--- a/src/akkudoktoreos/utils/datetimeutil.py
+++ b/src/akkudoktoreos/utils/datetimeutil.py
@@ -4,8 +4,8 @@
 ----------
 - to_datetime: Converts various date or time inputs to a timezone-aware or naive `datetime`
   object or formatted string.
-- to_timedelta: Converts various time delta inputs to a `timedelta`object.
-- to_timezone: Converts position latitude and longitude to a `timezone` object.
+- to_duration: Converts various time delta inputs to a `timedelta`object.
+- to_timezone: Converts utc offset or location latitude and longitude to a `timezone` object.
 
 Example usage:
 --------------
@@ -16,25 +16,30 @@
     >>> print(date_obj)  # Output: datetime object for '2024-10-15'
 
     # Time delta conversion
-    >>> to_timedelta("2 days 5 hours")
+    >>> to_duration("2 days 5 hours")
 
     # Timezone detection
-    >>> to_timezone(40.7128, -74.0060)
+    >>> to_timezone(location={40.7128, -74.0060})
 """
 
 import re
-from datetime import date, datetime, time, timedelta, timezone
-from typing import Annotated, Literal, Optional, Union, overload
-from zoneinfo import ZoneInfo
-
+from datetime import date, datetime, timedelta
+from typing import Any, Literal, Optional, Set, Union, overload
+import pendulum
+from pendulum import DateTime
+from pendulum.tz.timezone import Timezone
 from timezonefinder import TimezoneFinder
 
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
 
 @overload
 def to_datetime(
     date_input: Union[datetime, date, str, int, float, None],
     as_string: str | Literal[True],
-    to_timezone: Optional[Union[ZoneInfo, str]] = None,
+    to_timezone: Optional[Union[Timezone, str]] = None,
     to_naiv: Optional[bool] = None,
     to_maxtime: Optional[bool] = None,
 ) -> str: ...
@@ -44,164 +49,168 @@ def to_datetime(
 def to_datetime(
     date_input: Union[datetime, date, str, int, float, None],
     as_string: Literal[False] | None = None,
-    to_timezone: Optional[Union[ZoneInfo, str]] = None,
+    to_timezone: Optional[Union[Timezone, str]] = None,
     to_naiv: Optional[bool] = None,
     to_maxtime: Optional[bool] = None,
 ) -> datetime: ...
 
 
 def to_datetime(
-    date_input: Union[datetime, date, str, int, float, None],
+    date_input: Optional[Any] = None,
     as_string: Optional[Union[str, bool]] = None,
-    to_timezone: Optional[Union[ZoneInfo, str]] = None,
+    in_timezone: Optional[Union[str, Timezone]] = None,
     to_naiv: Optional[bool] = None,
     to_maxtime: Optional[bool] = None,
-) -> str | datetime:
-    """Converts a date input to a datetime object or a formatted string with timezone support.
+) -> DateTime:
+    """Convert a date input into a Pendulum DateTime object or a formatted string, with optional timezone handling.
 
-    Args:
-        date_input (Union[datetime, date, str, int, float, None]): The date input to convert.
-            Accepts a date string, a datetime object, a date object or a Unix timestamp.
-        as_string (Optional[Union[str, bool]]): If as_string is given (a format string or true)
-            return datetime as a string. Otherwise, return a datetime object, which is the default.
-            If true is given the string will returned in ISO format.
-            If a format string is given it may define the special formats "UTC" or "utc"
-            to return a string in ISO format normalized to UTC. Otherwise the format string must be
-            given compliant to Python's `datetime.strptime`.
-        to_timezone (Optional[Union[timezone, str]]):
-                            Optional timezone object or name (e.g., 'UTC', 'Europe/Berlin').
-                            If provided, the datetime will be converted to this timezone.
-                            If not provided, the datetime will be converted to the local timezone.
-        to_naiv (Optional[bool]):
-                        If True, remove timezone info from datetime after conversion.
-                        If False, keep timezone info after conversion. The default.
-        to_maxtime (Optional[bool]):
-                        If True, convert to maximum time if no time is given. The default.
-                        If False, convert to minimum time if no time is given.
+    This function handles various date input formats, adjusts for timezones, and provides flexibility for formatting and time adjustments. For date strings without explicit timezone information, the local timezone is assumed. Be aware that Pendulum DateTime objects created without a timezone default to UTC.
 
-    Example:
-        to_datetime("2027-12-12 24:13:12", as_string = "%Y-%m-%dT%H:%M:%S.%f%z")
+    Args:
+        date_input (Optional[Any]): The date input to convert. Supported types include:
+            - `str`: A date string in various formats (e.g., "2024-10-13", "13 Oct 2024").
+            - `pendulum.DateTime`: A Pendulum DateTime object.
+            - `datetime.datetime`: A standard Python datetime object.
+            - `datetime.date`: A date object, which will be converted to a datetime at the start or end of the day.
+            - `int` or `float`: A Unix timestamp, interpreted as seconds since the epoch (UTC).
+            - `None`: Defaults to the current date and time, adjusted to the start or end of the day based on `to_maxtime`.
+
+        as_string (Optional[Union[str, bool]]): Determines the output format:
+            - `True`: Returns the datetime in ISO 8601 string format.
+            - `"UTC"` or `"utc"`: Returns the datetime normalized to UTC as an ISO 8601 string.
+            - `str`: A custom date format string for the output (e.g., "YYYY-MM-DD HH:mm:ss").
+            - `False` or `None` (default): Returns a `pendulum.DateTime` object.
+
+        in_timezone (Optional[Union[str, Timezone]]): Specifies the target timezone for the result.
+            - Can be a timezone string (e.g., "UTC", "Europe/Berlin") or a `pendulum.Timezone` object.
+            - Defaults to the local timezone if not provided.
+
+        to_naiv (Optional[bool]): If `True`, removes timezone information from the resulting datetime object.
+            - Defaults to `False`.
+
+        to_maxtime (Optional[bool]): Determines the time portion of the resulting datetime for date inputs:
+            - `True`: Sets the time to the end of the day (23:59:59).
+            - `False` or `None`: Sets the time to the start of the day (00:00:00).
+            - Ignored if `date_input` includes an explicit time or if the input is a timestamp.
 
     Returns:
-        datetime or str: Converted date as a datetime object or a formatted string with timezone.
+        pendulum.DateTime or str:
+            - A timezone-aware Pendulum DateTime object by default.
+            - A string representation if `as_string` is specified.
 
     Raises:
-        ValueError: If the date input is not a valid type or format.
-        RuntimeError: If no local timezone information available.
+        ValueError: If `date_input` is not a valid or supported type, or if the date string cannot be parsed.
+
+    Examples:
+        >>> to_datetime("2024-10-13", as_string=True, in_timezone="UTC")
+        '2024-10-13T00:00:00+00:00'
+
+        >>> to_datetime("2024-10-13T15:30:00", in_timezone="Europe/Berlin")
+        DateTime(2024, 10, 13, 17, 30, 0, tzinfo=Timezone('Europe/Berlin'))
+
+        >>> to_datetime(date(2024, 10, 13), to_maxtime=True)
+        DateTime(2024, 10, 13, 23, 59, 59, tzinfo=Timezone('Local'))
+
+        >>> to_datetime(1698784800, as_string="YYYY-MM-DD HH:mm:ss", in_timezone="UTC")
+        '2024-10-31 12:00:00'
     """
-    dt_object: Optional[datetime] = None
-    if isinstance(date_input, datetime):
-        dt_object = date_input
-    elif isinstance(date_input, date):
-        # Convert date object to datetime object
-        if to_maxtime is None or to_maxtime:
-            dt_object = datetime.combine(date_input, time.max)
-        else:
-            dt_object = datetime.combine(date_input, time.max)
-    elif isinstance(date_input, (int, float)):
-        # Convert timestamp to datetime object
-        dt_object = datetime.fromtimestamp(date_input, tz=timezone.utc)
+    # Timezone to convert to
+    if in_timezone is None:
+        in_timezone = pendulum.local_timezone()
+    elif not isinstance(in_timezone, Timezone):
+        in_timezone = pendulum.timezone(in_timezone)
+
+    if isinstance(date_input, DateTime):
+        dt = date_input
     elif isinstance(date_input, str):
-        # Convert string to datetime object
-        try:
-            # Try ISO format
-            dt_object = datetime.fromisoformat(date_input)
-        except ValueError as e:
-            formats = [
-                "%Y-%m-%d",  # Format: 2024-10-13
-                "%d/%m/%y",  # Format: 13/10/24
-                "%d/%m/%Y",  # Format: 13/10/2024
-                "%m-%d-%Y",  # Format: 10-13-2024
-                "%Y.%m.%d",  # Format: 2024.10.13
-                "%d %b %Y",  # Format: 13 Oct 2024
-                "%d %B %Y",  # Format: 13 October 2024
-                "%Y-%m-%d %H:%M:%S",  # Format: 2024-10-13 15:30:00
-                "%Y-%m-%d %H:%M:%S%z",  # Format with timezone: 2024-10-13 15:30:00+0000
-                "%Y-%m-%d %H:%M:%S%z:00",  # Format with timezone: 2024-10-13 15:30:00+0000
-                "%Y-%m-%dT%H:%M:%S.%f%z",  # Format with timezone: 2024-10-13T15:30:00.000+0000
-            ]
-
-            for fmt in formats:
-                try:
-                    dt_object = datetime.strptime(date_input, fmt)
-                    break
-                except ValueError as e:
-                    continue
-            if dt_object is None:
-                raise ValueError(f"Date string {date_input} does not match any known formats.")
-    elif date_input is None:
-        if to_maxtime is None or to_maxtime:
-            dt_object = datetime.combine(date.today(), time.max)
-        else:
-            dt_object = datetime.combine(date.today(), time.min)
-    else:
-        raise ValueError(f"Unsupported date input type: {type(date_input)}")
-
-    # Get local timezone
-    local_date = datetime.now().astimezone()
-    local_tz_name = local_date.tzname()
-    local_utc_offset = local_date.utcoffset()
-    if local_tz_name is None or local_utc_offset is None:
-        raise RuntimeError("Could not determine local time zone")
-    local_timezone = timezone(local_utc_offset, local_tz_name)
-
-    # Get target timezone
-    if to_timezone:
-        if isinstance(to_timezone, ZoneInfo):
-            target_timezone = to_timezone
-        elif isinstance(to_timezone, str):
+        # Convert to timezone aware datetime
+        dt = None
+        formats = [
+            "YYYY-MM-DD",  # Format: 2024-10-13
+            "DD/MM/YY",  # Format: 13/10/24
+            "DD/MM/YYYY",  # Format: 13/10/2024
+            "MM-DD-YYYY",  # Format: 10-13-2024
+            "D.M.YYYY",  # Format: 1.7.2024
+            "YYYY.MM.DD",  # Format: 2024.10.13
+            "D MMM YYYY",  # Format: 13 Oct 2024
+            "D MMMM YYYY",  # Format: 13 October 2024
+            "YYYY-MM-DD HH:mm:ss",  # Format: 2024-10-13 15:30:00
+            "YYYY-MM-DDTHH:mm:ss",  # Format: 2024-10-13T15:30:00
+        ]
+        for fmt in formats:
+            # DateTime input without timezone info
             try:
-                target_timezone = ZoneInfo(to_timezone)
-            except Exception as e:
-                raise ValueError(f"Invalid timezone: {to_timezone}") from e
+                fmt_tz = f"{fmt} z"
+                dt_tz = f"{date_input} {in_timezone}"
+                dt = pendulum.from_format(dt_tz, fmt_tz)
+                logger.debug(
+                    f"Str Fmt converted: {dt}, tz={dt.tz} from {date_input}, tz={in_timezone}"
+                )
+                break
+            except ValueError as e:
+                logger.debug(f"{date_input}, {fmt}, {e}")
+                dt = None
         else:
-            raise ValueError(f"Invalid timezone: {to_timezone}")
-
-    # Adjust/Add timezone information
-    if dt_object.tzinfo is None or dt_object.tzinfo.utcoffset(dt_object) is None:
-        # datetime object is naive (not timezone aware)
-        # Add timezone
-        if to_timezone is None:
-            # Add local timezone
-            dt_object = dt_object.replace(tzinfo=local_timezone)
-        else:
-            # Set to target timezone
-            dt_object = dt_object.replace(tzinfo=target_timezone)
-    elif to_timezone:
-        # Localize the datetime object to given target timezone
-        dt_object = dt_object.astimezone(target_timezone)
+            # DateTime input with timezone info
+            try:
+                dt = pendulum.parse(date_input)
+                logger.debug(
+                    f"Pendulum Fmt converted: {dt}, tz={dt.tz} from {date_input}, tz={in_timezone}"
+                )
+            except pendulum.parsing.exceptions.ParserError as e:
+                logger.debug(f"Date string {date_input} does not match any Pendulum formats: {e}")
+                dt = None
+        if dt is None:
+            raise ValueError(f"Date string {date_input} does not match any known formats.")
+    elif date_input is None:
+        dt = (
+            pendulum.today(tz=in_timezone).end_of("day")
+            if to_maxtime
+            else pendulum.today(tz=in_timezone).start_of("day")
+        )
+    elif isinstance(date_input, datetime):
+        dt = pendulum.instance(date_input)
+    elif isinstance(date_input, date):
+        dt = pendulum.instance(
+            datetime.combine(date_input, datetime.max.time() if to_maxtime else datetime.min.time())
+        )
+    elif isinstance(date_input, (int, float)):
+        dt = pendulum.from_timestamp(date_input, tz="UTC")
     else:
-        # Localize the datetime object to local timezone
-        dt_object = dt_object.astimezone(local_timezone)
-
+        error_msg = f"Unsupported date input type: {type(date_input)}"
+        logger.error(error_msg)
+        raise ValueError(error_msg)
+
+    # Represent in target timezone
+    dt_in_tz = dt.in_timezone(in_timezone)
+    logger.debug(
+        f"\nTimezone adapted to: {in_timezone}\nfrom: {dt} tz={dt.timezone}\nto:   {dt_in_tz} tz={dt_in_tz.tz}"
+    )
+    dt = dt_in_tz
+
+    # Remove timezone info if specified
     if to_naiv:
-        # Remove timezone info to make the datetime naiv
-        dt_object = dt_object.replace(tzinfo=None)
+        dt = dt.naive()
 
-    if as_string:
-        # Return formatted string as defined by as_string
-        if isinstance(as_string, bool):
-            return dt_object.isoformat()
-        elif as_string == "UTC" or as_string == "utc":
-            dt_object = dt_object.astimezone(timezone.utc)
-            return dt_object.isoformat()
+    # Return as formatted string if specified
+    if isinstance(as_string, str):
+        if as_string.lower() == "utc":
+            return dt.in_timezone("UTC").to_iso8601_string()
         else:
-            return dt_object.strftime(as_string)
-    else:
-        return dt_object
+            return dt.format(as_string)
+    if isinstance(as_string, bool) and as_string is True:
+        return dt.to_iso8601_string()
 
+    return dt
 
-def to_timedelta(
-    input_value: Union[
-        timedelta, str, int, float, tuple[int, int, int, int], Annotated[list[int], 4]
-    ],
-) -> timedelta:
-    """Converts various input types into a timedelta object.
+
+def to_duration(input_value: Union[timedelta, str, int, float, tuple, list]) -> timedelta:
+    """Converts various input types into a timedelta object using pendulum.
 
     Args:
         input_value (Union[timedelta, str, int, float, tuple, list]): Input to be converted
-            timedelta.
-            - str: A string like "2 days", "5 hours", "30 minutes", or a combination.
+            into a timedelta:
+            - str: A duration string like "2 days", "5 hours", "30 minutes", or a combination.
             - int/float: Number representing seconds.
             - tuple/list: A tuple or list in the format (days, hours, minutes, seconds).
 
@@ -212,14 +221,14 @@ def to_timedelta(
         ValueError: If the input format is not supported.
 
     Examples:
-        >>> to_timedelta("2 days 5 hours")
-        datetime.timedelta(days=2, seconds=18000)
+        >>> to_duration("2 days 5 hours")
+        timedelta(days=2, seconds=18000)
 
-        >>> to_timedelta(3600)
-        datetime.timedelta(seconds=3600)
+        >>> to_duration(3600)
+        timedelta(seconds=3600)
 
-        >>> to_timedelta((1, 2, 30, 15))
-        datetime.timedelta(days=1, seconds=90315)
+        >>> to_duration((1, 2, 30, 15))
+        timedelta(days=1, seconds=90315)
     """
     if isinstance(input_value, timedelta):
         return input_value
@@ -234,9 +243,18 @@ def to_timedelta(
             days, hours, minutes, seconds = input_value
             return timedelta(days=days, hours=hours, minutes=minutes, seconds=seconds)
         else:
-            raise ValueError(f"Expected a tuple or list of length 4, got {len(input_value)}")
+            error_msg = f"Expected a tuple or list of length 4, got {len(input_value)}"
+            logger.error(error_msg)
+            raise ValueError(error_msg)
 
     elif isinstance(input_value, str):
+        # Use pendulum's parsing for human-readable duration strings
+        try:
+            duration = pendulum.parse(input_value)
+            return duration - duration.start_of("day")
+        except pendulum.parsing.exceptions.ParserError as e:
+            logger.debug(f"Invalid Pendulum time string format '{input_value}': {e}")
+
         # Handle strings like "2 days 5 hours 30 minutes"
         total_seconds = 0
         time_units = {
@@ -250,73 +268,271 @@ def to_timedelta(
         matches = re.findall(r"(\d+)\s*(days?|hours?|minutes?|seconds?)", input_value)
 
         if not matches:
-            raise ValueError(f"Invalid time string format: {input_value}")
+            error_msg = f"Invalid time string format '{input_value}'"
+            logger.error(error_msg)
+            raise ValueError(error_msg)
 
         for value, unit in matches:
             unit = unit.lower().rstrip("s")  # Normalize unit
             if unit in time_units:
                 total_seconds += int(value) * time_units[unit]
             else:
-                raise ValueError(f"Unsupported time unit: {unit}")
+                error_msg = f"Unsupported time unit: {unit}"
+                logger.error(error_msg)
+                raise ValueError(error_msg)
 
-        return timedelta(seconds=total_seconds)
+        return pendulum.duration(seconds=total_seconds)
 
     else:
-        raise ValueError(f"Unsupported input type: {type(input_value)}")
+        error_msg = f"Unsupported input type: {type(input_value)}"
+        logger.error(error_msg)
+        raise ValueError(error_msg)
 
 
-@overload
-def to_timezone(lat: float, lon: float, as_string: Literal[True]) -> str: ...
-
-
-@overload
-def to_timezone(lat: float, lon: float, as_string: Literal[False] | None = None) -> ZoneInfo: ...
+timezone_finder = TimezoneFinder()  # Static variable for caching
 
 
-def to_timezone(lat: float, lon: float, as_string: Optional[bool] = None) -> str | ZoneInfo:
-    """Determines the timezone for a given geographic location specified by latitude and longitude.
+def to_timezone(
+    utc_offset: Optional[float] = None,
+    location: Optional[Set[float]] = None,
+    as_string: Optional[bool] = False,
+) -> Union[Timezone, str]:
+    """Determines the timezone either by UTC offset, geographic location, or local system timezone.
 
-    By default, it returns a `ZoneInfo` object representing the timezone.
+    By default, it returns a `Timezone` object representing the timezone.
     If `as_string` is set to `True`, the function returns the timezone name as a string instead.
 
     Args:
-        lat (float): Latitude of the location in decimal degrees. Must be between -90 and 90.
-        lon (float): Longitude of the location in decimal degrees. Must be between -180 and 180.
+        utc_offset (Optional[float]): UTC offset in hours. Positive for UTC+, negative for UTC-.
+        location (Optional[Set[float]]): A set containing latitude and longitude as floats.
         as_string (Optional[bool]):
             - If `True`, returns the timezone as a string (e.g., "America/New_York").
-            - If `False` or not provided, returns a `ZoneInfo` object for the timezone.
+            - If `False` or not provided, returns a `Timezone` object for the timezone.
 
     Returns:
-        str or ZoneInfo:
+        Union[Timezone, str]:
             - A timezone name as a string (e.g., "America/New_York") if `as_string` is `True`.
-            - A `ZoneInfo` timezone object if `as_string` is `False` or not provided.
+            - A `Timezone` object if `as_string` is `False` or not provided.
 
     Raises:
-        ValueError: If the latitude or longitude is out of range, or if no timezone is found for
-                    the specified coordinates.
+        ValueError: If invalid inputs are provided.
 
     Example:
-        >>> to_timezone(40.7128, -74.0060, as_string=True)
-        'America/New_York'
+        >>> to_timezone(utc_offset=5.5, as_string=True)
+        'UTC+05:30'
 
-        >>> to_timezone(40.7128, -74.0060)
-        ZoneInfo(key='America/New_York')
-    """
-    # Initialize the static variable only once
-    if not hasattr(to_timezone, "timezone_finder"):
-        # static variable
-        to_timezone.timezone_finder = TimezoneFinder()  # type: ignore[attr-defined]
-
-    # Check and convert coordinates to timezone
-    tz_name: Optional[str] = None
-    try:
-        tz_name = to_timezone.timezone_finder.timezone_at(lat=lat, lng=lon)  # type: ignore[attr-defined]
-        if not tz_name:
-            raise ValueError(f"No timezone found for coordinates: latitude {lat}, longitude {lon}")
-    except Exception as e:
-        raise ValueError(f"Invalid location: latitude {lat}, longitude {lon}") from e
+        >>> to_timezone(location={40.7128, -74.0060})
+        <Timezone [America/New_York]>
 
+        >>> to_timezone()
+        <Timezone [America/New_York]>  # Returns local timezone
+    """
+    if utc_offset is not None:
+        if not isinstance(utc_offset, (int, float)):
+            raise ValueError("UTC offset must be an integer or float representing hours.")
+        if not -24 <= utc_offset <= 24:
+            raise ValueError("UTC offset must be within the range -24 to +24 hours.")
+
+        # Convert UTC offset to an Etc/GMT-compatible format
+        hours = int(utc_offset)
+        minutes = int((abs(utc_offset) - abs(hours)) * 60)
+        sign = "-" if utc_offset >= 0 else "+"
+        offset_str = f"Etc/GMT{sign}{abs(hours)}"
+        if minutes > 0:
+            offset_str += f":{minutes:02}"
+
+        if as_string:
+            return offset_str
+        return pendulum.timezone(offset_str)
+
+    # Handle location-based lookup
+    if location is not None:
+        try:
+            lat, lon = location
+            if not (-90 <= lat <= 90 and -180 <= lon <= 180):
+                raise ValueError(f"Invalid latitude/longitude: {lat}, {lon}")
+            tz_name = timezone_finder.timezone_at(lat=lat, lng=lon)
+            if not tz_name:
+                raise ValueError(
+                    f"No timezone found for coordinates: latitude {lat}, longitude {lon}"
+                )
+        except Exception as e:
+            raise ValueError(f"Error determining timezone for location {location}: {e}") from e
+
+        if as_string:
+            return tz_name
+        return pendulum.timezone(tz_name)
+
+    # Fallback to local timezone
+    local_tz = pendulum.local_timezone()
     if as_string:
-        return tz_name
+        return local_tz.name
+    return local_tz
+
+
+def hours_in_day(dt: Optional[DateTime] = None) -> int:
+    """Returns the number of hours in the given date's day, considering DST transitions.
+
+    Args:
+        dt (Optional[pendulum.DateTime]): The date to check (no time component).
+
+    Returns:
+        int: The number of hours in the day (23, 24, or 25).
+    """
+    if dt is None:
+        dt = to_datetime()
+
+    # Start and end of the day in the local timezone
+    start_of_day = pendulum.datetime(dt.year, dt.month, dt.day, 0, 0, 0, tz=dt.timezone)
+    end_of_day = start_of_day.add(days=1)
+
+    # Calculate the difference in hours between the two
+    duration = end_of_day - start_of_day
+    return int(duration.total_hours())
+
+
+class DatetimesComparisonResult:
+    """Encapsulates the result of comparing two Pendulum DateTime objects.
+
+    Attributes:
+        equal (bool): Indicates whether the two datetimes are exactly equal
+            (including timezone and DST state).
+        same_instant (bool): Indicates whether the two datetimes represent the same
+            point in time, regardless of their timezones.
+        time_diff (float): The time difference between the two datetimes in seconds.
+        timezone_diff (bool): Indicates whether the timezones of the two datetimes are different.
+        dst_diff (bool): Indicates whether the two datetimes differ in their DST states.
+        approximately_equal (bool): Indicates whether the time difference between the
+            two datetimes is within the specified tolerance.
+        ge (bool): True if `dt1` is greater than or equal to `dt2`.
+        gt (bool): True if `dt1` is strictly greater than `dt2`.
+        le (bool): True if `dt1` is less than or equal to `dt2`.
+        lt (bool): True if `dt1` is strictly less than `dt2`.
+    """
+
+    def __init__(
+        self,
+        equal: bool,
+        same_instant: bool,
+        time_diff: float,
+        timezone_diff: bool,
+        dst_diff: bool,
+        approximately_equal: bool,
+    ):
+        self.equal = equal
+        self.same_instant = same_instant
+        self.time_diff = time_diff
+        self.timezone_diff = timezone_diff
+        self.dst_diff = dst_diff
+        self.approximately_equal = approximately_equal
+
+    @property
+    def ge(self) -> bool:
+        """Greater than or equal: True if `dt1` >= `dt2`."""
+        return self.equal or self.time_diff > 0
+
+    @property
+    def gt(self) -> bool:
+        """Strictly greater than: True if `dt1` > `dt2`."""
+        return not self.equal and self.time_diff > 0
+
+    @property
+    def le(self) -> bool:
+        """Less than or equal: True if `dt1` <= `dt2`."""
+        return self.equal or self.time_diff < 0
+
+    @property
+    def lt(self) -> bool:
+        """Strictly less than: True if `dt1` < `dt2`."""
+        return not self.equal and self.time_diff < 0
+
+    def __repr__(self) -> str:
+        return (
+            f"ComparisonResult(equal={self.equal}, "
+            f"same_instant={self.same_instant}, "
+            f"time_diff={self.time_diff}, "
+            f"timezone_diff={self.timezone_diff}, "
+            f"dst_diff={self.dst_diff}, "
+            f"approximately_equal={self.approximately_equal}, "
+            f"ge={self.ge}, gt={self.gt}, le={self.le}, lt={self.lt})"
+        )
+
+
+def compare_datetimes(
+    dt1: DateTime,
+    dt2: DateTime,
+    tolerance: Optional[Union[int, pendulum.Duration]] = None,
+) -> DatetimesComparisonResult:
+    """Compares two Pendulum DateTime objects with precision, including DST and timezones.
+
+    This function evaluates various aspects of the relationship between two datetime objects:
+    - Exact equality, including timezone and DST state.
+    - Whether they represent the same instant in time (ignoring timezones).
+    - The absolute time difference in seconds.
+    - Differences in timezone and DST state.
+    - Approximate equality based on a specified tolerance.
+    - Greater or lesser comparisons.
+
+    Args:
+        dt1 (pendulum.DateTime): The first datetime object to compare.
+        dt2 (pendulum.DateTime): The second datetime object to compare.
+        tolerance (Optional[Union[int, pendulum.Duration]]): An optional tolerance for comparison.
+            - If an integer is provided, it is interpreted as seconds.
+            - If a `pendulum.Duration` is provided, its total seconds are used.
+            - If not provided, no tolerance is applied.
+
+    Returns:
+        DatetimesComparisonResult: An object containing the results of the comparison, including:
+            - `equal`: Whether the datetimes are exactly equal.
+            - `same_instant`: Whether the datetimes represent the same instant.
+            - `time_diff`: The time difference in seconds.
+            - `timezone_diff`: Whether the timezones differ.
+            - `dst_diff`: Whether the DST states differ.
+            - `approximately_equal`: Whether the time difference is within the tolerance.
+            - `ge`, `gt`, `le`, `lt`: Relational comparisons between the two datetimes.
+
+    Examples:
+        Compare two datetimes exactly:
+        >>> dt1 = pendulum.datetime(2023, 7, 1, 12, tz='Europe/Berlin')
+        >>> dt2 = pendulum.datetime(2023, 7, 1, 12, tz='UTC')
+        >>> compare_datetimes(dt1, dt2)
+        DatetimesComparisonResult(equal=False, same_instant=True, time_diff=7200, timezone_diff=True, dst_diff=False, approximately_equal=False, ge=False, gt=False, le=True, lt=True)
+
+        Compare with a tolerance:
+        >>> compare_datetimes(dt1, dt2, tolerance=7200)
+        DatetimesComparisonResult(equal=False, same_instant=True, time_diff=7200, timezone_diff=True, dst_diff=False, approximately_equal=True, ge=False, gt=False, le=True, lt=True)
+    """
+    # Normalize tolerance to seconds
+    if tolerance is None:
+        tolerance_seconds = 0
+    elif isinstance(tolerance, pendulum.Duration):
+        tolerance_seconds = tolerance.total_seconds()
+    else:
+        tolerance_seconds = int(tolerance)
+
+    # Strict equality check (includes timezone and DST)
+    is_equal = dt1.in_tz("UTC") == dt2.in_tz("UTC")
+
+    # Instant comparison (point in time, might be in different timezones)
+    is_same_instant = dt1.int_timestamp == dt2.int_timestamp
+
+    # Time difference calculation. Throws exception if diverging timezone awareness.
+    time_diff = dt1.int_timestamp - dt2.int_timestamp
+
+    # Timezone comparison
+    timezone_diff = dt1.timezone_name != dt2.timezone_name
+
+    # DST state comparison
+    dst_diff = dt1.is_dst() != dt2.is_dst()
+
+    # Tolerance-based approximate equality
+    is_approximately_equal = time_diff <= tolerance_seconds
 
-    return ZoneInfo(tz_name)
+    return DatetimesComparisonResult(
+        equal=is_equal,
+        same_instant=is_same_instant,
+        time_diff=time_diff,
+        timezone_diff=timezone_diff,
+        dst_diff=dst_diff,
+        approximately_equal=is_approximately_equal,
+    )
diff --git a/tests/test_cachefilestore.py b/tests/test_cacheutil.py
similarity index 98%
rename from tests/test_cachefilestore.py
rename to tests/test_cacheutil.py
index 538fcf4..757e509 100644
--- a/tests/test_cachefilestore.py
+++ b/tests/test_cacheutil.py
@@ -7,7 +7,7 @@
 
 import pytest
 
-from akkudoktoreos.utils.cachefilestore import CacheFileStore, cache_in_file
+from akkudoktoreos.utils.cacheutil import CacheFileStore, cache_in_file
 from akkudoktoreos.utils.datetimeutil import to_datetime
 
 # -----------------------------
@@ -268,7 +268,7 @@ def my_function(until_date=None):
     assert result == result2
 
 
-def test_cache_in_file_decorator_forces_update(cache_store):
+def test_cache_in_file_decorator_forces_update_data(cache_store):
     """Test that the cache_in_file decorator reuses cached file on subsequent calls."""
     # Clear store to assure it is empty
     cache_store.clear(clear_all=True)
diff --git a/tests/test_datetimeutil.py b/tests/test_datetimeutil.py
index c061570..e3c98db 100644
--- a/tests/test_datetimeutil.py
+++ b/tests/test_datetimeutil.py
@@ -1,95 +1,379 @@
-"""Test Module for datetimeutil Module."""
-
-from datetime import datetime, timedelta
-from zoneinfo import ZoneInfo
+"""Test Module for pendulum.datetimeutil Module."""
 
+import pendulum
 import pytest
+from pendulum.tz.timezone import Timezone
 
-from akkudoktoreos.utils.datetimeutil import to_datetime, to_timedelta, to_timezone
+from akkudoktoreos.utils.datetimeutil import (
+    compare_datetimes,
+    hours_in_day,
+    to_datetime,
+    to_duration,
+    to_timezone,
+)
 
 # -----------------------------
 # to_datetime
 # -----------------------------
 
 
-# Test cases for valid timedelta inputs
+# Test cases for valid pendulum.duration inputs
 @pytest.mark.parametrize(
-    "date_input, as_string, to_timezone, to_naiv, to_maxtime, expected_output",
+    "test_case, local_timezone, date_input, as_string, in_timezone, to_naiv, to_maxtime, expected_output",
     [
-        # as datetime object
+        # ---------------------------------------
+        # from string to pendulum.datetime object
+        # ---------------------------------------
+        # - no timezone
         (
-            "2024-10-07T10:20:30.000+02:00",
+            "TC001",
+            "Etc/UTC",
+            "2024-01-01",
+            None,
             None,
+            None,
+            False,
+            pendulum.datetime(2024, 1, 1, 0, 0, 0, tz="Etc/UTC"),
+        ),
+        (
+            "TC002",
             "Europe/Berlin",
+            "2024-01-01",
+            None,
             None,
             None,
-            datetime(2024, 10, 7, 10, 20, 30, 0, tzinfo=ZoneInfo("Europe/Berlin")),
+            False,
+            pendulum.datetime(2024, 1, 1, 0, 0, 0, tz="Europe/Berlin"),
         ),
         (
-            "2024-10-07T10:20:30.000+02:00",
+            "TC003",
+            "Europe/Berlin",
+            "2024-01-01",
+            None,
+            None,
+            None,
+            False,
+            pendulum.datetime(2023, 12, 31, 23, 0, 0, tz="Etc/UTC"),
+        ),
+        (
+            "TC004",
+            "Europe/Paris",
+            "2024-01-01 00:00:00",
+            None,
+            None,
+            None,
+            False,
+            pendulum.datetime(2024, 1, 1, 0, 0, 0, tz="Europe/Paris"),
+        ),
+        (
+            "TC005",
+            "Etc/UTC",
+            "2024-01-01 00:00:00",
+            None,
+            None,
+            None,
+            False,
+            pendulum.datetime(2024, 1, 1, 1, 0, 0, tz="Europe/Berlin"),
+        ),
+        (
+            "TC006",
+            "Europe/Berlin",
+            "2024-01-01 00:00:00",
+            None,
+            None,
+            None,
+            False,
+            pendulum.datetime(2023, 12, 31, 23, 0, 0, tz="Etc/UTC"),
+        ),
+        (
+            "TC007",
+            "Atlantic/Canary",
+            "2024-01-01 12:00:00",
+            None,
+            None,
+            None,
+            False,
+            pendulum.datetime(
+                2024,
+                1,
+                1,
+                12,
+                0,
+                0,
+                tz="Atlantic/Canary",
+            ),
+        ),
+        (
+            "TC008",
+            "Etc/UTC",
+            "2024-01-01 12:00:00",
+            None,
+            None,  # force local timezone
             None,
+            False,
+            pendulum.datetime(2024, 1, 1, 13, 0, 0, tz="Europe/Berlin"),
+        ),
+        (
+            "TC009",
             "Europe/Berlin",
+            "2024-01-01 12:00:00",
+            None,
+            None,
+            None,
             False,
+            pendulum.datetime(2024, 1, 1, 11, 0, 0, tz="Etc/UTC"),
+        ),
+        # - with timezone
+        (
+            "TC010",
+            "Etc/UTC",
+            "02/02/24",
             None,
-            datetime(2024, 10, 7, 10, 20, 30, 0, tzinfo=ZoneInfo("Europe/Berlin")),
+            "Europe/Berlin",
+            None,
+            False,
+            pendulum.datetime(2024, 2, 2, 0, 0, 0, tz="Europe/Berlin"),
         ),
         (
-            "2024-10-07T10:20:30.000+02:00",
+            "TC011",
+            "Etc/UTC",
+            "2024-03-03T10:20:30.000+01:00",  # No dalight saving time at this date
+            None,
+            "Europe/Berlin",
+            None,
+            None,
+            pendulum.datetime(2024, 3, 3, 10, 20, 30, 0, tz="Europe/Berlin"),
+        ),
+        (
+            "TC012",
+            "Etc/UTC",
+            "2024-04-04T10:20:30.000+02:00",
+            None,
+            "Europe/Berlin",
+            False,
+            None,
+            pendulum.datetime(2024, 4, 4, 10, 20, 30, 0, tz="Europe/Berlin"),
+        ),
+        (
+            "TC013",
+            "Etc/UTC",
+            "2024-05-05T10:20:30.000+02:00",
             None,
             "Europe/Berlin",
             True,
             None,
-            datetime(2024, 10, 7, 10, 20, 30, 0),
+            pendulum.naive(2024, 5, 5, 10, 20, 30, 0),
+        ),
+        # - without local timezone as UTC
+        (
+            "TC014",
+            "Atlantic/Canary",
+            "02/02/24",
+            None,
+            "UTC",
+            None,
+            False,
+            pendulum.datetime(2024, 2, 2, 0, 0, 0, tz="UTC"),
+        ),
+        (
+            "TC015",
+            "Atlantic/Canary",
+            "2024-03-03T10:20:30.000Z",  # No dalight saving time at this date
+            None,
+            None,
+            None,
+            None,
+            pendulum.datetime(2024, 3, 3, 10, 20, 30, 0, tz="UTC"),
+        ),
+        # ---------------------------------------
+        # from pendulum.datetime to pendulum.datetime object
+        # ---------------------------------------
+        (
+            "TC016",
+            "Atlantic/Canary",
+            pendulum.datetime(2024, 4, 4, 0, 0, 0),
+            None,
+            None,
+            None,
+            False,
+            pendulum.datetime(2024, 4, 4, 0, 0, 0, tz="Etc/UTC"),
+        ),
+        (
+            "TC017",
+            "Atlantic/Canary",
+            pendulum.datetime(2024, 4, 4, 1, 0, 0),
+            None,
+            "Europe/Berlin",
+            None,
+            False,
+            pendulum.datetime(2024, 4, 4, 3, 0, 0, tz="Europe/Berlin"),
+        ),
+        (
+            "TC018",
+            "Atlantic/Canary",
+            pendulum.datetime(2024, 4, 4, 1, 0, 0, tz="Etc/UTC"),
+            None,
+            "Europe/Berlin",
+            None,
+            False,
+            pendulum.datetime(2024, 4, 4, 3, 0, 0, tz="Europe/Berlin"),
+        ),
+        (
+            "TC019",
+            "Atlantic/Canary",
+            pendulum.datetime(2024, 4, 4, 2, 0, 0, tz="Europe/Berlin"),
+            None,
+            "Etc/UTC",
+            None,
+            False,
+            pendulum.datetime(2024, 4, 4, 0, 0, 0, tz="Etc/UTC"),
+        ),
+        # ---------------------------------------
+        # from string to UTC string
+        # ---------------------------------------
+        # - no timezone
+        #   local timezone UTC
+        (
+            "TC020",
+            "Etc/UTC",
+            "2023-11-06T00:00:00",
+            "UTC",
+            None,
+            None,
+            None,
+            "2023-11-06T00:00:00Z",
+        ),
+        #    local timezone "Europe/Berlin"
+        (
+            "TC021",
+            "Europe/Berlin",
+            "2023-11-06T00:00:00",
+            "UTC",
+            "Europe/Berlin",
+            None,
+            None,
+            "2023-11-05T23:00:00Z",
+        ),
+        # - no microseconds
+        (
+            "TC022",
+            "Atlantic/Canary",
+            "2024-10-30T00:00:00+01:00",
+            "UTC",
+            None,
+            None,
+            None,
+            "2024-10-29T23:00:00Z",
+        ),
+        (
+            "TC023",
+            "Atlantic/Canary",
+            "2024-10-30T01:00:00+01:00",
+            "utc",
+            None,
+            None,
+            None,
+            "2024-10-30T00:00:00Z",
+        ),
+        # - with microseconds
+        (
+            "TC024",
+            "Atlantic/Canary",
+            "2024-10-07T10:20:30.000+02:00",
+            "UTC",
+            None,
+            None,
+            None,
+            "2024-10-07T08:20:30Z",
         ),
-        # as string
-        ("2024-10-07T10:20:30.000+02:00", "UTC", None, None, None, "2024-10-07T08:20:30+00:00"),
-        ("2024-10-07T10:20:30.000+02:00", "utc", None, None, None, "2024-10-07T08:20:30+00:00"),
     ],
 )
-def test_to_datetime(date_input, as_string, to_timezone, to_naiv, to_maxtime, expected_output):
-    """Test datetime conversion with valid inputs."""
-    assert (
-        to_datetime(
-            date_input,
-            as_string=as_string,
-            to_timezone=to_timezone,
-            to_naiv=to_naiv,
-            to_maxtime=to_maxtime,
-        )
-        == expected_output
+def test_to_datetime(
+    set_other_timezone,
+    test_case,
+    local_timezone,
+    date_input,
+    as_string,
+    in_timezone,
+    to_naiv,
+    to_maxtime,
+    expected_output,
+):
+    """Test pendulum.datetime conversion with valid inputs."""
+    set_other_timezone(local_timezone)
+    result = to_datetime(
+        date_input,
+        as_string=as_string,
+        in_timezone=in_timezone,
+        to_naiv=to_naiv,
+        to_maxtime=to_maxtime,
     )
+    # if isinstance(date_input, str):
+    #    print(f"Input:    {date_input}")
+    # else:
+    #    print(f"Input:    {date_input} tz={date_input.timezone}")
+    if isinstance(expected_output, str):
+        # print(f"Expected: {expected_output}")
+        # print(f"Result:   {result}")
+        assert result == expected_output
+    elif expected_output.timezone is None:
+        # We expect an exception
+        with pytest.raises(TypeError):
+            assert compare_datetimes(result, expected_output).equal
+    else:
+        compare = compare_datetimes(result, expected_output)
+        # print(f"---- Testcase:  {test_case} ----")
+        # print(f"Expected: {expected_output} tz={expected_output.timezone}")
+        # print(f"Result:   {result} tz={result.timezone}")
+        # print(f"Compare:  {compare}")
+        assert compare.equal == True
 
 
 # -----------------------------
-# to_timedelta
+# to_duration
 # -----------------------------
 
 
-# Test cases for valid timedelta inputs
+# Test cases for valid duration inputs
 @pytest.mark.parametrize(
     "input_value, expected_output",
     [
-        # timedelta input
-        (timedelta(days=1), timedelta(days=1)),
+        # duration input
+        (pendulum.duration(days=1), pendulum.duration(days=1)),
         # String input
-        ("2 days", timedelta(days=2)),
-        ("5 hours", timedelta(hours=5)),
-        ("30 minutes", timedelta(minutes=30)),
-        ("45 seconds", timedelta(seconds=45)),
-        ("1 day 2 hours 30 minutes 15 seconds", timedelta(days=1, hours=2, minutes=30, seconds=15)),
-        ("3 days 4 hours", timedelta(days=3, hours=4)),
+        ("2 days", pendulum.duration(days=2)),
+        ("5 hours", pendulum.duration(hours=5)),
+        ("47 hours", pendulum.duration(hours=47)),
+        ("48 hours", pendulum.duration(seconds=48 * 3600)),
+        ("30 minutes", pendulum.duration(minutes=30)),
+        ("45 seconds", pendulum.duration(seconds=45)),
+        (
+            "1 day 2 hours 30 minutes 15 seconds",
+            pendulum.duration(days=1, hours=2, minutes=30, seconds=15),
+        ),
+        ("3 days 4 hours", pendulum.duration(days=3, hours=4)),
         # Integer/Float input
-        (3600, timedelta(seconds=3600)),  # 1 hour
-        (86400, timedelta(days=1)),  # 1 day
-        (1800.5, timedelta(seconds=1800.5)),  # 30 minutes and 0.5 seconds
+        (3600, pendulum.duration(seconds=3600)),  # 1 hour
+        (86400, pendulum.duration(days=1)),  # 1 day
+        (1800.5, pendulum.duration(seconds=1800.5)),  # 30 minutes and 0.5 seconds
         # Tuple/List input
-        ((1, 2, 30, 15), timedelta(days=1, hours=2, minutes=30, seconds=15)),
-        ([0, 10, 0, 0], timedelta(hours=10)),
+        ((1, 2, 30, 15), pendulum.duration(days=1, hours=2, minutes=30, seconds=15)),
+        ([0, 10, 0, 0], pendulum.duration(hours=10)),
     ],
 )
-def test_to_timedelta_valid(input_value, expected_output):
-    """Test to_timedelta with valid inputs."""
-    assert to_timedelta(input_value) == expected_output
+def test_to_duration_valid(input_value, expected_output):
+    """Test to_duration with valid inputs."""
+    assert to_duration(input_value) == expected_output
+
+
+def test_to_duration_summation():
+    start_datetime = to_datetime("2028-01-11 00:00:00")
+    index_datetime = start_datetime
+    for i in range(48):
+        expected_datetime = start_datetime + to_duration(f"{i} hours")
+        assert index_datetime == expected_datetime
+        index_datetime += to_duration("1 hour")
+    assert index_datetime == to_datetime("2028-01-13 00:00:00")
 
 
 # -----------------------------
@@ -99,21 +383,196 @@ def test_to_timedelta_valid(input_value, expected_output):
 
 def test_to_timezone_string():
     """Test to_timezone function returns correct timezone as a string."""
-    lat, lon = 40.7128, -74.0060  # New York City coordinates
-    result = to_timezone(lat, lon, as_string=True)
+    location = {40.7128, -74.0060}  # New York City coordinates
+    result = to_timezone(location=location, as_string=True)
     assert result == "America/New_York", "Expected timezone string 'America/New_York'"
 
 
-def test_to_timezone_zoneinfo():
-    """Test to_timezone function returns correct timezone as a ZoneInfo object."""
-    lat, lon = 40.7128, -74.0060  # New York City coordinates
-    result = to_timezone(lat, lon)
-    assert isinstance(result, ZoneInfo), "Expected a ZoneInfo object"
-    assert result.key == "America/New_York", "Expected ZoneInfo key 'America/New_York'"
+def test_to_timezone_timezone():
+    """Test to_timezone function returns correct timezone as a Timezone object."""
+    location = {40.7128, -74.0060}  # New York City coordinates
+    result = to_timezone(location=location)
+    assert isinstance(result, Timezone), "Expected a Timezone object"
+    assert result.name == "America/New_York", "Expected Timezone name 'America/New_York'"
 
 
 def test_to_timezone_invalid_coordinates():
     """Test to_timezone function handles invalid coordinates gracefully."""
-    lat, lon = 100.0, 200.0  # Invalid coordinates outside Earth range
-    with pytest.raises(ValueError, match="Invalid location"):
-        to_timezone(lat, lon, as_string=True)
+    location = {100.0, 200.0}  # Invalid coordinates outside Earth range
+    with pytest.raises(ValueError, match="Invalid latitude/longitude"):
+        to_timezone(location=location, as_string=True)
+
+
+# -----------------------------
+# hours_in_day
+# -----------------------------
+
+
+@pytest.mark.parametrize(
+    "local_timezone, date, in_timezone, expected_hours",
+    [
+        ("Etc/UTC", "2024-11-10 00:00:00", "Europe/Berlin", 24),  # No DST in Germany
+        ("Etc/UTC", "2024-08-10 00:00:00", "Europe/Berlin", 24),  # DST in Germany
+        ("Etc/UTC", "2024-03-31 00:00:00", "Europe/Berlin", 23),  # DST change (23 hours/ day)
+        ("Etc/UTC", "2024-10-27 00:00:00", "Europe/Berlin", 25),  # DST change (25 hours/ day)
+        ("Europe/Berlin", "2024-11-10 00:00:00", "Europe/Berlin", 24),  # No DST in Germany
+        ("Europe/Berlin", "2024-08-10 00:00:00", "Europe/Berlin", 24),  # DST in Germany
+        ("Europe/Berlin", "2024-03-31 00:00:00", "Europe/Berlin", 23),  # DST change (23 hours/ day)
+        ("Europe/Berlin", "2024-10-27 00:00:00", "Europe/Berlin", 25),  # DST change (25 hours/ day)
+    ],
+)
+def test_hours_in_day(set_other_timezone, local_timezone, date, in_timezone, expected_hours):
+    """Test the `test_hours_in_day` function."""
+    set_other_timezone(local_timezone)
+    date_input = to_datetime(date, in_timezone=in_timezone)
+    assert date_input.timezone.name == in_timezone
+    assert hours_in_day(date_input) == expected_hours
+
+
+# -----------------------------
+# compare_datetimes
+# -----------------------------
+
+
+@pytest.mark.parametrize(
+    "dt1, dt2, equal, ge, gt, le, lt",
+    [
+        # Same time in the same timezone
+        (
+            pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
+            pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
+            True,
+            True,
+            False,
+            True,
+            False,
+        ),
+        (
+            pendulum.datetime(2024, 4, 4, 0, 0, 0, tz="Europe/Berlin"),
+            pendulum.datetime(2024, 4, 4, 0, 0, 0, tz="Europe/Berlin"),
+            True,
+            True,
+            False,
+            True,
+            False,
+        ),
+        # Same instant in different timezones (converted to UTC)
+        (
+            pendulum.datetime(2024, 3, 15, 8, 0, 0, tz="Europe/Berlin"),
+            pendulum.datetime(2024, 3, 15, 7, 0, 0, tz="UTC"),
+            True,
+            True,
+            False,
+            True,
+            False,
+        ),
+        # Different times across timezones (converted to UTC)
+        (
+            pendulum.datetime(2024, 3, 15, 8, 0, 0, tz="America/New_York"),
+            pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
+            True,
+            True,
+            False,
+            True,
+            False,
+        ),
+    ],
+)
+def test_compare_datetimes_equal(dt1, dt2, equal, ge, gt, le, lt):
+    # requal = compare_datetimes(dt1, dt2).equal
+    # rgt = compare_datetimes(dt1, dt2).gt
+    # rge = compare_datetimes(dt1, dt2).ge
+    # rlt = compare_datetimes(dt1, dt2).lt
+    # rle = compare_datetimes(dt1, dt2).le
+    # print(f"{dt1} vs. {dt2}: expected equal={equal}, ge={ge}, gt={gt}, le={le}, lt={lt}")
+    # print(f"{dt1} vs. {dt2}: result   equal={requal}, ge={rge}, gt={rgt}, le={rle}, lt={rlt}")
+    assert compare_datetimes(dt1, dt2).equal == equal
+    assert compare_datetimes(dt1, dt2).ge == ge
+    assert compare_datetimes(dt1, dt2).gt == gt
+    assert compare_datetimes(dt1, dt2).le == le
+    assert compare_datetimes(dt1, dt2).lt == lt
+
+
+@pytest.mark.parametrize(
+    "dt1, dt2, equal, ge, gt, le, lt",
+    [
+        # Different times in the same timezone
+        (
+            pendulum.datetime(2024, 3, 15, 11, 0, 0, tz="UTC"),
+            pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
+            False,
+            False,
+            False,
+            True,
+            True,
+        ),
+        # Different times across timezones (converted to UTC)
+        (
+            pendulum.datetime(2024, 3, 15, 6, 0, 0, tz="America/New_York"),
+            pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
+            False,
+            False,
+            False,
+            True,
+            True,
+        ),
+        # DST changes: spring forward
+        (
+            pendulum.datetime(2024, 3, 10, 1, 59, 0, tz="America/New_York"),
+            pendulum.datetime(2024, 3, 10, 3, 0, 0, tz="America/New_York"),
+            False,
+            False,
+            False,
+            True,
+            True,
+        ),
+        # DST changes: fall back
+        (
+            pendulum.datetime(2024, 11, 3, 1, 0, 0, tz="America/New_York"),
+            pendulum.datetime(2024, 11, 3, 1, 30, 0, tz="America/New_York"),
+            False,
+            False,
+            False,
+            True,
+            True,
+        ),
+    ],
+)
+def test_compare_datetimes_lt(dt1, dt2, equal, ge, gt, le, lt):
+    # requal = compare_datetimes(dt1, dt2).equal
+    # rgt = compare_datetimes(dt1, dt2).gt
+    # rge = compare_datetimes(dt1, dt2).ge
+    # rlt = compare_datetimes(dt1, dt2).lt
+    # rle = compare_datetimes(dt1, dt2).le
+    # print(f"{dt1} vs. {dt2}: expected equal={equal}, ge={ge}, gt={gt}, le={le}, lt={lt}")
+    # print(f"{dt1} vs. {dt2}: result   equal={requal}, ge={rge}, gt={rgt}, le={rle}, lt={rlt}")
+    assert compare_datetimes(dt1, dt2).equal == equal
+    assert compare_datetimes(dt1, dt2).ge == ge
+    assert compare_datetimes(dt1, dt2).gt == gt
+    assert compare_datetimes(dt1, dt2).le == le
+    assert compare_datetimes(dt1, dt2).lt == lt
+
+
+@pytest.mark.parametrize(
+    "dt1, dt2",
+    [
+        # Different times in the same timezone
+        (
+            pendulum.datetime(2024, 3, 15, 13, 0, 0, tz="UTC"),
+            pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
+        ),
+    ],
+)
+def test_compare_datetimes_gt(dt1, dt2):
+    # requal = compare_datetimes(dt1, dt2).equal
+    # rgt = compare_datetimes(dt1, dt2).gt
+    # rge = compare_datetimes(dt1, dt2).ge
+    # rlt = compare_datetimes(dt1, dt2).lt
+    # rle = compare_datetimes(dt1, dt2).le
+    # print(f"{dt1} vs. {dt2}: expected equal={equal}, ge={ge}, gt={gt}, le={le}, lt={lt}")
+    # print(f"{dt1} vs. {dt2}: result   equal={requal}, ge={rge}, gt={rgt}, le={rle}, lt={rlt}")
+    assert compare_datetimes(dt1, dt2).equal == False
+    assert compare_datetimes(dt1, dt2).ge
+    assert compare_datetimes(dt1, dt2).gt
+    assert compare_datetimes(dt1, dt2).le == False
+    assert compare_datetimes(dt1, dt2).lt == False

From 9260620ea43b803eb5f0d69ce1cf5b0c977839cc Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Thu, 14 Nov 2024 13:50:22 +0100
Subject: [PATCH 02/19] Add base configuration modules.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 requirements.txt                           |   1 +
 src/akkudoktoreos/config.py                | 292 -------------
 src/akkudoktoreos/config/__init__.py       |   0
 src/akkudoktoreos/config/config.py         | 453 +++++++++++++++++++++
 src/akkudoktoreos/config/configabc.py      |  24 ++
 src/akkudoktoreos/data/default.config.json | 122 ++++++
 src/akkudoktoreos/default.config.json      |  15 -
 tests/test_config.py                       | 141 ++++---
 tests/test_configabc.py                    |  94 +++++
 tests/testdata/EOS.config.json             | 122 ++++++
 10 files changed, 907 insertions(+), 357 deletions(-)
 delete mode 100644 src/akkudoktoreos/config.py
 create mode 100644 src/akkudoktoreos/config/__init__.py
 create mode 100644 src/akkudoktoreos/config/config.py
 create mode 100644 src/akkudoktoreos/config/configabc.py
 create mode 100644 src/akkudoktoreos/data/default.config.json
 delete mode 100644 src/akkudoktoreos/default.config.json
 create mode 100644 tests/test_configabc.py
 create mode 100644 tests/testdata/EOS.config.json

diff --git a/requirements.txt b/requirements.txt
index 172edb0..dfa8dea 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,4 +9,5 @@ deap==1.4.1
 requests==2.32.3
 pandas==2.2.3
 pendulum==3.0.0
+platformdirs==4.3.6
 pydantic==2.10.1
diff --git a/src/akkudoktoreos/config.py b/src/akkudoktoreos/config.py
deleted file mode 100644
index 442d362..0000000
--- a/src/akkudoktoreos/config.py
+++ /dev/null
@@ -1,292 +0,0 @@
-"""This module provides functionality to manage and handle configuration for the EOS system.
-
-The module including loading, merging, and validating JSON configuration files.
-It also provides utility functions for working directory setup and date handling.
-
-Key features:
-- Loading and merging configurations from default or custom JSON files
-- Validating configurations using Pydantic models
-- Managing directory setups for the application
-- Utility to get prediction start and end dates
-"""
-
-import json
-import os
-import shutil
-from datetime import date, datetime, timedelta
-from pathlib import Path
-from typing import Any, Optional
-
-from pydantic import BaseModel, ValidationError
-
-EOS_DIR = "EOS_DIR"
-ENCODING = "UTF-8"
-CONFIG_FILE_NAME = "EOS.config.json"
-DEFAULT_CONFIG_FILE = Path(__file__).parent.joinpath("default.config.json")
-
-
-class FolderConfig(BaseModel):
-    """Folder configuration for the EOS system.
-
-    Uses working_dir as root path.
-    The working directory can be either cwd or
-    a path or folder defined by the EOS_DIR environment variable.
-
-    Attributes:
-        output (str): Directory name for output files.
-        cache (str): Directory name for cache files.
-    """
-
-    output: str
-    cache: str
-
-
-class EOSConfig(BaseModel):
-    """EOS system-specific configuration.
-
-    Attributes:
-        prediction_hours (int): Number of hours for predictions.
-        optimization_hours (int): Number of hours for optimizations.
-        penalty (int): Penalty factor used in optimization.
-        available_charging_rates_in_percentage (list[float]): List of available charging rates as percentages.
-    """
-
-    prediction_hours: int
-    optimization_hours: int
-    penalty: int
-    available_charging_rates_in_percentage: list[float]
-    feed_in_tariff_eur_per_wh: int
-
-
-class BaseConfig(BaseModel):
-    """Base configuration for the EOS system.
-
-    Attributes:
-        directories (FolderConfig): Configuration for directory paths (output, cache).
-        eos (EOSConfig): Configuration for EOS-specific settings.
-    """
-
-    directories: FolderConfig
-    eos: EOSConfig
-
-
-class AppConfig(BaseConfig):
-    """Application-level configuration that extends the base configuration with a working directory.
-
-    Attributes:
-        working_dir (Path): The root directory for the application.
-    """
-
-    working_dir: Path
-
-    def run_setup(self) -> None:
-        """Runs setup for the application by ensuring that required directories exist.
-
-        If a directory does not exist, it is created.
-
-        Raises:
-            OSError: If directories cannot be created.
-        """
-        print("Checking directory settings and creating missing directories...")
-        for key, value in self.directories.model_dump().items():
-            if not isinstance(value, str):
-                continue
-            path = self.working_dir / value
-            print(f"'{key}': {path}")
-            os.makedirs(path, exist_ok=True)
-
-
-class SetupIncomplete(Exception):
-    """Exception class for errors related to incomplete setup of the EOS system."""
-
-
-def _load_json(path: Path) -> dict[str, Any]:
-    """Load a JSON file from a given path.
-
-    Args:
-        path (Path): Path to the JSON file.
-
-    Returns:
-        dict[str, Any]: Parsed JSON content.
-
-    Raises:
-        FileNotFoundError: If the JSON file does not exist.
-        json.JSONDecodeError: If the file cannot be parsed as valid JSON.
-    """
-    with path.open("r") as f_in:
-        return json.load(f_in)
-
-
-def _merge_json(default_data: dict[str, Any], custom_data: dict[str, Any]) -> dict[str, Any]:
-    """Recursively merge two dictionaries, using values from `custom_data` when available.
-
-    Args:
-        default_data (dict[str, Any]): The default configuration values.
-        custom_data (dict[str, Any]): The custom configuration values.
-
-    Returns:
-        dict[str, Any]: Merged configuration data.
-    """
-    merged_data = {}
-    for key, default_value in default_data.items():
-        if key in custom_data:
-            custom_value = custom_data[key]
-            if isinstance(default_value, dict) and isinstance(custom_value, dict):
-                merged_data[key] = _merge_json(default_value, custom_value)
-            elif type(default_value) is type(custom_value):
-                merged_data[key] = custom_value
-            else:
-                # use default value if types differ
-                merged_data[key] = default_value
-        else:
-            merged_data[key] = default_value
-    return merged_data
-
-
-def _config_update_available(merged_data: dict[str, Any], custom_data: dict[str, Any]) -> bool:
-    """Check if the configuration needs to be updated by comparing merged data and custom data.
-
-    Args:
-        merged_data (dict[str, Any]): The merged configuration data.
-        custom_data (dict[str, Any]): The custom configuration data.
-
-    Returns:
-        bool: True if there is a difference indicating that an update is needed, otherwise False.
-    """
-    if merged_data.keys() != custom_data.keys():
-        return True
-
-    for key in merged_data:
-        value1 = merged_data[key]
-        value2 = custom_data[key]
-
-        if isinstance(value1, dict) and isinstance(value2, dict):
-            if _config_update_available(value1, value2):
-                return True
-        elif value1 != value2:
-            return True
-    return False
-
-
-def get_config_file(path: Path, copy_default: bool) -> Path:
-    """Get the valid configuration file path. If the custom config is not found, it uses the default config.
-
-    Args:
-        path (Path): Path to the working directory.
-        copy_default (bool): If True, copy the default configuration if custom config is not found.
-
-    Returns:
-        Path: Path to the valid configuration file.
-    """
-    config = path.resolve() / CONFIG_FILE_NAME
-    if config.is_file():
-        print(f"Using configuration from: {config}")
-        return config
-
-    if not path.is_dir():
-        print(f"Path does not exist: {path}. Using default configuration...")
-        return DEFAULT_CONFIG_FILE
-
-    if not copy_default:
-        print("No custom configuration provided. Using default configuration...")
-        return DEFAULT_CONFIG_FILE
-
-    try:
-        return Path(shutil.copy2(DEFAULT_CONFIG_FILE, config))
-    except Exception as exc:
-        print(f"Could not copy default config: {exc}. Using default copy...")
-    return DEFAULT_CONFIG_FILE
-
-
-def _merge_and_update(custom_config: Path, update_outdated: bool = False) -> bool:
-    """Merge custom and default configurations, and optionally update the custom config if outdated.
-
-    Args:
-        custom_config (Path): Path to the custom configuration file.
-        update_outdated (bool): If True, update the custom config if it is outdated.
-
-    Returns:
-        bool: True if the custom config was updated, otherwise False.
-    """
-    if custom_config == DEFAULT_CONFIG_FILE:
-        return False
-    default_data = _load_json(DEFAULT_CONFIG_FILE)
-    custom_data = _load_json(custom_config)
-    merged_data = _merge_json(default_data, custom_data)
-
-    if not _config_update_available(merged_data, custom_data):
-        print(f"Custom config {custom_config} is up-to-date...")
-        return False
-    print(f"Custom config {custom_config} is outdated...")
-    if update_outdated:
-        with custom_config.open("w") as f_out:
-            json.dump(merged_data, f_out, indent=2)
-        return True
-    return False
-
-
-def load_config(
-    working_dir: Path, copy_default: bool = False, update_outdated: bool = True
-) -> AppConfig:
-    """Load the application configuration from the specified directory, merging with defaults if needed.
-
-    Args:
-        working_dir (Path): Path to the working directory.
-        copy_default (bool): Whether to copy the default configuration if custom config is missing.
-        update_outdated (bool): Whether to update outdated custom configuration.
-
-    Returns:
-        AppConfig: Loaded application configuration.
-
-    Raises:
-        ValueError: If the configuration is incomplete or not valid.
-    """
-    # make sure working_dir is always a full path
-    working_dir = working_dir.resolve()
-
-    config = get_config_file(working_dir, copy_default)
-    _merge_and_update(config, update_outdated)
-
-    with config.open("r", encoding=ENCODING) as f_in:
-        try:
-            base_config = BaseConfig.model_validate(json.load(f_in))
-            return AppConfig.model_validate(
-                {"working_dir": working_dir, **base_config.model_dump()}
-            )
-        except ValidationError as exc:
-            raise ValueError(f"Configuration {config} is incomplete or not valid: {exc}")
-
-
-def get_working_dir() -> Path:
-    """Get the working directory for the application, either from an environment variable or the current working directory.
-
-    Returns:
-        Path: The path to the working directory.
-    """
-    custom_dir = os.getenv(EOS_DIR)
-    if custom_dir is None:
-        working_dir = Path.cwd()
-        print(f"No custom directory provided. Setting working directory to: {working_dir}")
-    else:
-        working_dir = Path(custom_dir).resolve()
-        print(f"Custom directory provided. Setting working directory to: {working_dir}")
-    return working_dir
-
-
-def get_start_enddate(prediction_hours: int, startdate: Optional[date] = None) -> tuple[str, str]:
-    """Calculate the start and end dates based on the given prediction hours and optional start date.
-
-    Args:
-        prediction_hours (int): Number of hours for predictions.
-        startdate (Optional[datetime]): Optional starting datetime.
-
-    Returns:
-        tuple[str, str]: The current date (start date) and end date in the format 'YYYY-MM-DD'.
-    """
-    if startdate is None:
-        date = (datetime.now().date() + timedelta(hours=prediction_hours)).strftime("%Y-%m-%d")
-        date_now = datetime.now().strftime("%Y-%m-%d")
-    else:
-        date = (startdate + timedelta(hours=prediction_hours)).strftime("%Y-%m-%d")
-        date_now = startdate.strftime("%Y-%m-%d")
-    return date_now, date
diff --git a/src/akkudoktoreos/config/__init__.py b/src/akkudoktoreos/config/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/akkudoktoreos/config/config.py b/src/akkudoktoreos/config/config.py
new file mode 100644
index 0000000..3ebce47
--- /dev/null
+++ b/src/akkudoktoreos/config/config.py
@@ -0,0 +1,453 @@
+"""This module provides functionality to manage and handle configuration for the EOS.
+
+The module including loading, merging, and validating JSON configuration files.
+It also provides utility functions for working directory setup and date handling.
+
+Key features:
+- Loading and merging configurations from default or custom JSON files
+- Validating configurations using Pydantic models
+- Managing directory setups for the application
+"""
+
+import os
+import shutil
+from pathlib import Path
+from typing import Any, ClassVar, Optional
+
+import platformdirs
+from pydantic import Field, ValidationError, computed_field
+
+# settings
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.core.coreabc import SingletonMixin
+from akkudoktoreos.devices.devices import DevicesCommonSettings
+from akkudoktoreos.optimization.optimization import OptimizationCommonSettings
+from akkudoktoreos.prediction.elecprice import ElecPriceCommonSettings
+from akkudoktoreos.prediction.elecpriceimport import ElecPriceImportCommonSettings
+from akkudoktoreos.prediction.load import LoadCommonSettings
+from akkudoktoreos.prediction.loadakkudoktor import LoadAkkudoktorCommonSettings
+from akkudoktoreos.prediction.loadimport import LoadImportCommonSettings
+from akkudoktoreos.prediction.prediction import PredictionCommonSettings
+from akkudoktoreos.prediction.pvforecast import PVForecastCommonSettings
+from akkudoktoreos.prediction.pvforecastimport import PVForecastImportCommonSettings
+from akkudoktoreos.prediction.weather import WeatherCommonSettings
+from akkudoktoreos.prediction.weatherimport import WeatherImportCommonSettings
+from akkudoktoreos.server.server import ServerCommonSettings
+from akkudoktoreos.utils.logutil import get_logger
+from akkudoktoreos.utils.utils import UtilsCommonSettings
+
+logger = get_logger(__name__)
+
+
+class ConfigCommonSettings(SettingsBaseModel):
+    """Settings for common configuration."""
+
+    data_folder_path: Optional[Path] = Field(
+        default=None, description="Path to EOS data directory."
+    )
+
+    data_output_subpath: Optional[Path] = Field(
+        "output", description="Sub-path for the EOS output data directory."
+    )
+
+    data_cache_subpath: Optional[Path] = Field(
+        "cache", description="Sub-path for the EOS cache data directory."
+    )
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def data_output_path(self) -> Optional[Path]:
+        """Compute data_output_path based on data_folder_path."""
+        if self.data_output_subpath is None:
+            return self.data_folder_path
+        if self.data_folder_path and self.data_output_subpath:
+            return self.data_folder_path.joinpath(self.data_output_subpath)
+        return None
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def data_cache_path(self) -> Optional[Path]:
+        """Compute data_cache_path based on data_folder_path."""
+        if self.data_cache_subpath is None:
+            return self.data_folder_path
+        if self.data_folder_path and self.data_cache_subpath:
+            return self.data_folder_path.joinpath(self.data_cache_subpath)
+        return None
+
+
+class SettingsEOS(
+    ConfigCommonSettings,
+    DevicesCommonSettings,
+    OptimizationCommonSettings,
+    PredictionCommonSettings,
+    ElecPriceCommonSettings,
+    ElecPriceImportCommonSettings,
+    LoadCommonSettings,
+    LoadAkkudoktorCommonSettings,
+    LoadImportCommonSettings,
+    PVForecastCommonSettings,
+    PVForecastImportCommonSettings,
+    WeatherCommonSettings,
+    WeatherImportCommonSettings,
+    ServerCommonSettings,
+    UtilsCommonSettings,
+):
+    """Settings for all EOS."""
+
+    pass
+
+
+class ConfigEOS(SingletonMixin, SettingsEOS):
+    """Singleton configuration handler for the EOS application.
+
+    ConfigEOS extends `SettingsEOS` with support for  default configuration paths and automatic
+    initialization.
+
+    `ConfigEOS` ensures that only one instance of the class is created throughout the application,
+    allowing consistent access to EOS configuration settings. This singleton instance loads
+    configuration data from a predefined set of directories or creates a default configuration if
+    none is found.
+
+    Initialization Process:
+      - Upon instantiation, the singleton instance attempts to load a configuration file in this order:
+        1. The directory specified by the `EOS_DIR` environment variable.
+        2. A platform specific default directory for EOS.
+        3. The current working directory.
+      - The first available configuration file found in these directories is loaded.
+      - If no configuration file is found, a default configuration file is created in the platform
+        specific default directory, and default settings are loaded into it.
+
+    Attributes from the loaded configuration are accessible directly as instance attributes of
+    `ConfigEOS`, providing a centralized, shared configuration object for EOS.
+
+    Singleton Behavior:
+      - This class uses the `SingletonMixin` to ensure that all requests for `ConfigEOS` return
+        the same instance, which contains the most up-to-date configuration. Modifying the configuration
+        in one part of the application reflects across all references to this class.
+
+    Attributes:
+        _settings (ClassVar[SettingsEOS]): Holds application-wide settings.
+        _file_settings (ClassVar[SettingsEOS]): Stores configuration loaded from file.
+        config_folder_path (Optional[Path]): Path to the configuration directory.
+        config_file_path (Optional[Path]): Path to the configuration file.
+
+    Raises:
+        FileNotFoundError: If no configuration file is found, and creating a default configuration fails.
+
+    Example:
+        To initialize and access configuration attributes (only one instance is created):
+        ```python
+        config_eos = ConfigEOS()  # Always returns the same instance
+        print(config_eos.prediction_hours)  # Access a setting from the loaded configuration
+        ```
+
+    """
+
+    APP_NAME: ClassVar[str] = "net.akkudoktor.eos"  # reverse order
+    APP_AUTHOR: ClassVar[str] = "akkudoktor"
+    EOS_DIR: ClassVar[str] = "EOS_DIR"
+    ENCODING: ClassVar[str] = "UTF-8"
+    CONFIG_FILE_NAME: ClassVar[str] = "EOS.config.json"
+
+    _settings: ClassVar[Optional[SettingsEOS]] = None
+    _file_settings: ClassVar[Optional[SettingsEOS]] = None
+
+    config_folder_path: Optional[Path] = Field(
+        None, description="Path to EOS configuration directory."
+    )
+
+    config_file_path: Optional[Path] = Field(
+        default=None, description="Path to EOS configuration file."
+    )
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def config_default_file_path(self) -> Path:
+        """Compute the default config file path."""
+        return Path(__file__).parent.parent.joinpath("data/default.config.json")
+
+    def __init__(self) -> None:
+        """Initializes the singleton ConfigEOS instance.
+
+        Configuration data is loaded from a configuration file or a default one is created if none
+        exists.
+        """
+        super().__init__()
+        self.from_config_file()
+        self.update()
+
+    @property
+    def settings(self) -> Optional[SettingsEOS]:
+        """Returns global settings for EOS.
+
+        Settings generally provide configuration for EOS and are typically set only once.
+
+        Returns:
+            SettingsEOS: The settings for EOS or None.
+        """
+        return ConfigEOS._settings
+
+    @classmethod
+    def _merge_and_update_settings(cls, settings: SettingsEOS) -> None:
+        """Merge new and available settings.
+
+        Args:
+            settings (SettingsEOS): The new settings to apply.
+        """
+        for key in SettingsEOS.model_fields:
+            if value := getattr(settings, key, None):
+                setattr(cls._settings, key, value)
+
+    def merge_settings(self, settings: SettingsEOS, force: Optional[bool] = None) -> None:
+        """Merges the provided settings into the global settings for EOS, with optional overwrite.
+
+        Args:
+            settings (SettingsEOS): The settings to apply globally.
+            force (Optional[bool]): If True, overwrites the existing settings completely.
+                If False, the new settings are merged to the existing ones with priority for
+                the new ones.
+
+        Raises:
+            ValueError: If settings are already set and `force` is not True or
+                if the `settings` is not a `SettingsEOS` instance.
+        """
+        if not isinstance(settings, SettingsEOS):
+            raise ValueError(f"Settings must be an instance of SettingsEOS: '{settings}'.")
+
+        if ConfigEOS._settings is None or force:
+            ConfigEOS._settings = settings
+        else:
+            self._merge_and_update_settings(settings)
+
+        # Update configuration after merging
+        self.update()
+
+    def merge_settings_from_dict(self, data: dict) -> None:
+        """Merges the provided dictionary data into the current instance.
+
+        Creates a new settings instance with all optional fields reset to None,
+        then applies the dictionary data through validation, and finally merges
+        the validated settings into the current instance.
+
+        Args:
+            data (dict): Dictionary containing field values to merge into the
+                current settings instance.
+
+        Raises:
+            ValidationError: If the data contains invalid values for the defined fields.
+
+        Example:
+            >>> config = get_config()
+            >>> new_data = {"prediction_hours": 24, "server_fastapi_port": 8000}
+            >>> config.merge_settings_from_dict(new_data)
+        """
+        # Create new settings instance with reset optional fields and merged data
+        settings = SettingsEOS.from_dict_with_reset(data)
+        self.merge_settings(settings)
+
+    def reset_settings(self) -> None:
+        """Reset all available settings.
+
+        This functions basically deletes the settings provided before.
+        """
+        ConfigEOS._settings = None
+
+    def _update_data_folder_path(self) -> None:
+        """Updates path to the data directory."""
+        # From Settings
+        if self.settings and (data_dir := self.settings.data_folder_path):
+            try:
+                data_dir.mkdir(parents=True, exist_ok=True)
+                self.data_folder_path = data_dir
+                return
+            except:
+                pass
+        # From EOS_DIR env
+        env_dir = os.getenv(self.EOS_DIR)
+        if env_dir is not None:
+            try:
+                data_dir = Path(env_dir).resolve()
+                data_dir.mkdir(parents=True, exist_ok=True)
+                self.data_folder_path = data_dir
+                return
+            except:
+                pass
+        # From configuration file
+        if self._file_settings and (data_dir := self._file_settings.data_folder_path):
+            try:
+                data_dir.mkdir(parents=True, exist_ok=True)
+                self.data_folder_path = data_dir
+                return
+            except:
+                pass
+        # From platform specific default path
+        try:
+            data_dir = platformdirs.user_data_dir(self.APP_NAME, self.APP_AUTHOR)
+            if data_dir is not None:
+                data_dir.mkdir(parents=True, exist_ok=True)
+                self.data_folder_path = data_dir
+                return
+        except:
+            pass
+        # Current working directory
+        data_dir = Path.cwd()
+        self.data_folder_path = data_dir
+
+    def _config_folder_path(self) -> Optional[Path]:
+        """Finds the first directory containing a valid configuration file.
+
+        Returns:
+            Path: The path to the configuration directory, or None if not found.
+        """
+        config_dirs = []
+        config_dir = None
+        env_dir = os.getenv(self.EOS_DIR)
+        logger.debug(f"Envionment '{self.EOS_DIR}': '{env_dir}'")
+        if env_dir is not None:
+            config_dirs.append(Path(env_dir).resolve())
+        config_dirs.append(Path(platformdirs.user_config_dir(self.APP_NAME)))
+        config_dirs.append(Path.cwd())
+        for cdir in config_dirs:
+            cfile = cdir.joinpath(self.CONFIG_FILE_NAME)
+            if cfile.exists():
+                logger.debug(f"Found config file: '{cfile}'")
+                config_dir = cdir
+                break
+        return config_dir
+
+    def _config_file_path(self) -> Path:
+        """Finds the path to the configuration file.
+
+        Returns:
+            Path: The path to the configuration file. May not exist.
+        """
+        config_file = None
+        config_dir = self._config_folder_path()
+        if config_dir is None:
+            # There is currently no configuration file - create it in default path
+            env_dir = os.getenv(self.EOS_DIR)
+            if env_dir is not None:
+                config_dir = Path(env_dir).resolve()
+            else:
+                config_dir = Path(platformdirs.user_config_dir(self.APP_NAME))
+            config_file = config_dir.joinpath(self.CONFIG_FILE_NAME)
+        else:
+            config_file = config_dir.joinpath(self.CONFIG_FILE_NAME)
+        return config_file
+
+    def from_config_file(self) -> None:
+        """Loads the configuration file settings for EOS.
+
+        Raises:
+            ValueError: If the configuration file is invalid or incomplete.
+        """
+        config_file = self._config_file_path()
+        config_dir = config_file.parent
+        if not config_file.exists():
+            config_dir.mkdir(parents=True, exist_ok=True)
+            try:
+                shutil.copy2(self.config_default_file_path, config_file)
+            except Exception as exc:
+                logger.warning(f"Could not copy default config: {exc}. Using default copy...")
+                config_file = self.config_default_file_path
+                config_dir = config_file.parent
+
+        with config_file.open("r", encoding=self.ENCODING) as f_in:
+            try:
+                json_str = f_in.read()
+                ConfigEOS._file_settings = SettingsEOS.model_validate_json(json_str)
+            except ValidationError as exc:
+                raise ValueError(f"Configuration '{config_file}' is incomplete or not valid: {exc}")
+
+        self.update()
+        # Everthing worked, remember the values
+        self.config_folder_path = config_dir
+        self.config_file_path = config_file
+
+    def to_config_file(self) -> None:
+        """Saves the current configuration to the configuration file.
+
+        Also updates the configuration file settings.
+
+        Raises:
+            ValueError: If the configuration file path is not specified or can not be written to.
+        """
+        if not self.config_file_path:
+            raise ValueError("Configuration file path unknown.")
+        with self.config_file_path.open("r", encoding=self.ENCODING) as f_out:
+            try:
+                json_str = super().to_json()
+                # Write to file
+                f_out.write(json_str)
+                # Also remeber as actual settings
+                ConfigEOS._file_settings = SettingsEOS.model_validate_json(json_str)
+            except ValidationError as exc:
+                raise ValueError(f"Could not update '{self.config_file_path}': {exc}")
+
+    def _config_value(self, key: str) -> Any:
+        """Retrieves the configuration value for a specific key, following a priority order.
+
+        Values are fetched in the following order:
+            1. Settings.
+            2. Environment variables.
+            3. EOS configuration file.
+            4. Current configuration.
+            5. Field default constants.
+
+        Args:
+            key (str): The configuration key to retrieve.
+
+        Returns:
+            Any: The configuration value, or None if not found.
+        """
+        # Settings
+        if ConfigEOS._settings:
+            if (value := getattr(self.settings, key, None)) is not None:
+                return value
+
+        # Environment variables
+        if (value := os.getenv(key)) is not None:
+            try:
+                return float(value)
+            except ValueError:
+                return value
+
+        # EOS configuration file.
+        if self._file_settings:
+            if (value := getattr(self._file_settings, key, None)) is not None:
+                return value
+
+        # Current configuration - key is valid as called by update().
+        if (value := getattr(self, key, None)) is not None:
+            return value
+
+        # Field default constants
+        if (value := ConfigEOS.model_fields[key].default) is not None:
+            return value
+
+        logger.debug(f"Value for configuration key '{key}' not found or is {value}")
+        return None
+
+    def update(self) -> None:
+        """Updates all configuration fields.
+
+        This method updates all configuration fields using the following order for value retrieval:
+            1. Settings.
+            2. Environment variables.
+            3. EOS configuration file.
+            4. Current configuration.
+            5. Field default constants.
+
+        The first non None value in priority order is taken.
+        """
+        self._update_data_folder_path()
+        for key in self.model_fields:
+            setattr(self, key, self._config_value(key))
+
+
+def get_config() -> ConfigEOS:
+    """Gets the EOS configuration data."""
+    return ConfigEOS()
diff --git a/src/akkudoktoreos/config/configabc.py b/src/akkudoktoreos/config/configabc.py
new file mode 100644
index 0000000..489ae0d
--- /dev/null
+++ b/src/akkudoktoreos/config/configabc.py
@@ -0,0 +1,24 @@
+"""Abstract and base classes for configuration."""
+
+from akkudoktoreos.core.pydantic import PydanticBaseModel
+
+
+class SettingsBaseModel(PydanticBaseModel):
+    """Base model class for all settings configurations.
+
+    Note:
+        Settings property names shall be disjunctive to all existing settings' property names.
+    """
+
+    def reset_to_defaults(self) -> None:
+        """Resets the fields to their default values."""
+        for field_name, field_info in self.model_fields.items():
+            if field_info.default_factory is not None:  # Handle fields with default_factory
+                default_value = field_info.default_factory()
+            else:
+                default_value = field_info.default
+            try:
+                setattr(self, field_name, default_value)
+            except (AttributeError, TypeError):
+                # Skip fields that are read-only or dynamically computed
+                pass
diff --git a/src/akkudoktoreos/data/default.config.json b/src/akkudoktoreos/data/default.config.json
new file mode 100644
index 0000000..1d82d3d
--- /dev/null
+++ b/src/akkudoktoreos/data/default.config.json
@@ -0,0 +1,122 @@
+{
+  "config_file_path": null,
+  "config_folder_path": null,
+  "data_cache_path": null,
+  "data_cache_subpath": null,
+  "data_folder_path": null,
+  "data_output_path": null,
+  "data_output_subpath": null,
+  "elecprice_provider": null,
+  "elecpriceimport_file_path": null,
+  "latitude": null,
+  "load0_import_file_path": null,
+  "load0_name": null,
+  "load0_provider": null,
+  "load1_import_file_path": null,
+  "load1_name": null,
+  "load1_provider": null,
+  "load2_import_file_path": null,
+  "load2_name": null,
+  "load2_provider": null,
+  "load3_import_file_path": null,
+  "load3_name": null,
+  "load3_provider": null,
+  "load4_import_file_path": null,
+  "load4_name": null,
+  "load4_provider": null,
+  "loadakkudoktor_year_energy": null,
+  "longitude": null,
+  "optimization_ev_available_charge_rates_percent": [],
+  "optimization_hours": 24,
+  "optimization_penalty": null,
+  "prediction_historic_hours": 48,
+  "prediction_hours": 48,
+  "pvforecast0_albedo": null,
+  "pvforecast0_inverter_model": null,
+  "pvforecast0_inverter_paco": null,
+  "pvforecast0_loss": null,
+  "pvforecast0_module_model": null,
+  "pvforecast0_modules_per_string": null,
+  "pvforecast0_mountingplace": "free",
+  "pvforecast0_optimal_surface_tilt": false,
+  "pvforecast0_optimalangles": false,
+  "pvforecast0_peakpower": null,
+  "pvforecast0_pvtechchoice": "crystSi",
+  "pvforecast0_strings_per_inverter": null,
+  "pvforecast0_surface_azimuth": 180,
+  "pvforecast0_surface_tilt": 0,
+  "pvforecast0_trackingtype": 0,
+  "pvforecast0_userhorizon": null,
+  "pvforecast1_albedo": null,
+  "pvforecast1_inverter_model": null,
+  "pvforecast1_inverter_paco": null,
+  "pvforecast1_loss": 0,
+  "pvforecast1_module_model": null,
+  "pvforecast1_modules_per_string": null,
+  "pvforecast1_mountingplace": "free",
+  "pvforecast1_optimal_surface_tilt": false,
+  "pvforecast1_optimalangles": false,
+  "pvforecast1_peakpower": null,
+  "pvforecast1_pvtechchoice": "crystSi",
+  "pvforecast1_strings_per_inverter": null,
+  "pvforecast1_surface_azimuth": 180,
+  "pvforecast1_surface_tilt": 0,
+  "pvforecast1_trackingtype": 0,
+  "pvforecast1_userhorizon": null,
+  "pvforecast2_albedo": null,
+  "pvforecast2_inverter_model": null,
+  "pvforecast2_inverter_paco": null,
+  "pvforecast2_loss": 0,
+  "pvforecast2_module_model": null,
+  "pvforecast2_modules_per_string": null,
+  "pvforecast2_mountingplace": "free",
+  "pvforecast2_optimal_surface_tilt": false,
+  "pvforecast2_optimalangles": false,
+  "pvforecast2_peakpower": null,
+  "pvforecast2_pvtechchoice": "crystSi",
+  "pvforecast2_strings_per_inverter": null,
+  "pvforecast2_surface_azimuth": 180,
+  "pvforecast2_surface_tilt": 0,
+  "pvforecast2_trackingtype": 0,
+  "pvforecast2_userhorizon": null,
+  "pvforecast3_albedo": null,
+  "pvforecast3_inverter_model": null,
+  "pvforecast3_inverter_paco": null,
+  "pvforecast3_loss": 0,
+  "pvforecast3_module_model": null,
+  "pvforecast3_modules_per_string": null,
+  "pvforecast3_mountingplace": "free",
+  "pvforecast3_optimal_surface_tilt": false,
+  "pvforecast3_optimalangles": false,
+  "pvforecast3_peakpower": null,
+  "pvforecast3_pvtechchoice": "crystSi",
+  "pvforecast3_strings_per_inverter": null,
+  "pvforecast3_surface_azimuth": 180,
+  "pvforecast3_surface_tilt": 0,
+  "pvforecast3_trackingtype": 0,
+  "pvforecast3_userhorizon": null,
+  "pvforecast4_albedo": null,
+  "pvforecast4_inverter_model": null,
+  "pvforecast4_inverter_paco": null,
+  "pvforecast4_loss": 0,
+  "pvforecast4_module_model": null,
+  "pvforecast4_modules_per_string": null,
+  "pvforecast4_mountingplace": "free",
+  "pvforecast4_optimal_surface_tilt": false,
+  "pvforecast4_optimalangles": false,
+  "pvforecast4_peakpower": null,
+  "pvforecast4_pvtechchoice": "crystSi",
+  "pvforecast4_strings_per_inverter": null,
+  "pvforecast4_surface_azimuth": 180,
+  "pvforecast4_surface_tilt": 0,
+  "pvforecast4_trackingtype": 0,
+  "pvforecast4_userhorizon": null,
+  "pvforecast_provider": null,
+  "pvforecastimport_file_path": null,
+  "server_fastapi_host": "0.0.0.0",
+  "server_fastapi_port": 8503,
+  "server_fasthtml_host": "0.0.0.0",
+  "server_fasthtml_port": 8504,
+  "weather_provider": null,
+  "weatherimport_file_path": null
+}
diff --git a/src/akkudoktoreos/default.config.json b/src/akkudoktoreos/default.config.json
deleted file mode 100644
index d05c20a..0000000
--- a/src/akkudoktoreos/default.config.json
+++ /dev/null
@@ -1,15 +0,0 @@
-{
-  "directories": {
-    "output": "output",
-    "cache": "cache"
-  },
-  "eos": {
-    "prediction_hours": 48,
-    "optimization_hours": 24,
-    "penalty": 10,
-    "available_charging_rates_in_percentage": [
-      0.0, 0.375, 0.5, 0.625, 0.75, 0.875, 1.0
-    ],
-    "feed_in_tariff_eur_per_wh": 48
-  }
-}
diff --git a/tests/test_config.py b/tests/test_config.py
index 5dd2dc7..6fbc1e7 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -1,71 +1,112 @@
-import json
+import os
+import shutil
+import tempfile
 from pathlib import Path
 
 import pytest
-from pydantic import ValidationError
 
-from akkudoktoreos.config import (
-    CONFIG_FILE_NAME,
-    DEFAULT_CONFIG_FILE,
-    get_config_file,
-    load_config,
-)
+from akkudoktoreos.config.config import ConfigEOS, get_config
+from akkudoktoreos.utils.logutil import get_logger
 
+logger = get_logger(__name__)
 
-def test_config() -> None:
-    """Test the default config file."""
-    try:
-        load_config(Path.cwd())
-    except ValidationError as exc:
-        pytest.fail(f"Default configuration is not valid: {exc}")
+config_eos = get_config()
 
+DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
 
-def test_config_copy(tmp_path: Path) -> None:
-    """Test if the config is copied to the provided path."""
-    assert DEFAULT_CONFIG_FILE == get_config_file(Path("does", "not", "exist"), False)
+FILE_TESTDATA_CONFIGEOS_1_JSON = DIR_TESTDATA.joinpath(config_eos.CONFIG_FILE_NAME)
+FILE_TESTDATA_CONFIGEOS_1_DIR = FILE_TESTDATA_CONFIGEOS_1_JSON.parent
+
+
+@pytest.fixture
+def reset_config_singleton():
+    """Fixture to reset the ConfigEOS singleton instance before a test."""
+    ConfigEOS.reset_instance()
+    yield
+    ConfigEOS.reset_instance()
+
+
+def test_fixture_stash_config_file(stash_config_file, config_default_dirs):
+    """Assure fixture stash_config_file is working."""
+    config_default_dir_user, config_default_dir_cwd, _ = config_default_dirs
+
+    config_file_path_user = config_default_dir_user.joinpath(config_eos.CONFIG_FILE_NAME)
+    config_file_path_cwd = config_default_dir_cwd.joinpath(config_eos.CONFIG_FILE_NAME)
+
+    assert not config_file_path_user.exists()
+    assert not config_file_path_cwd.exists()
 
-    load_config(tmp_path, True)
-    expected_config = tmp_path.joinpath(CONFIG_FILE_NAME)
 
-    assert expected_config == get_config_file(tmp_path, False)
-    assert expected_config.is_file()
+def test_config_constants():
+    """Test config constants are the way expected by the tests."""
+    assert config_eos.APP_NAME == "net.akkudoktor.eos"
+    assert config_eos.APP_AUTHOR == "akkudoktor"
+    assert config_eos.EOS_DIR == "EOS_DIR"
+    assert config_eos.ENCODING == "UTF-8"
+    assert config_eos.CONFIG_FILE_NAME == "EOS.config.json"
 
 
-def test_config_merge(tmp_path: Path) -> None:
-    """Test if config is merged and updated correctly."""
-    config_file = tmp_path.joinpath(CONFIG_FILE_NAME)
-    custom_config = {
-        "eos": {
-            "optimization_hours": 30,
-            "penalty": 21,
-            "does_not_exist": "nope",
-            "available_charging_rates_in_percentage": "False entry",
+def test_computed_paths(reset_config):
+    """Test computed paths for output and cache."""
+    config_eos.merge_settings_from_dict(
+        {
+            "data_folder_path": "/base/data",
+            "data_output_subpath": "output",
+            "data_cache_subpath": "cache",
         }
-    }
-    with config_file.open("w") as f_out:
-        json.dump(custom_config, f_out)
+    )
+    assert config_eos.data_output_path == Path("/base/data/output")
+    assert config_eos.data_cache_path == Path("/base/data/cache")
 
-    assert config_file.exists()
 
-    with pytest.raises(ValueError):
-        # custom configuration is broken but not updated.
-        load_config(tmp_path, True, False)
+def test_singleton_behavior(reset_config_singleton):
+    """Test that ConfigEOS behaves as a singleton."""
+    instance1 = ConfigEOS()
+    instance2 = ConfigEOS()
+    assert instance1 is instance2
 
-    with config_file.open("r") as f_in:
-        # custom configuration is not changed.
-        assert json.load(f_in) == custom_config
 
-    config = load_config(tmp_path)
+def test_default_config_path(reset_config, config_default_dirs, stash_config_file):
+    """Test that the default config file path is computed correctly."""
+    _, _, config_default_dir_default = config_default_dirs
 
-    assert config.eos.optimization_hours == 30
-    assert config.eos.penalty == 21
+    expected_path = config_default_dir_default.joinpath("default.config.json")
+    assert config_eos.config_default_file_path == expected_path
+    assert config_eos.config_default_file_path.is_file()
 
 
-def test_setup(tmp_path: Path) -> None:
-    """Test setup."""
-    config = load_config(tmp_path, True)
-    config.run_setup()
+def test_config_folder_path(reset_config, config_default_dirs, stash_config_file, monkeypatch):
+    """Test that _config_folder_path identifies the correct config directory or None."""
+    config_default_dir_user, _, _ = config_default_dirs
 
-    assert tmp_path.joinpath(CONFIG_FILE_NAME).is_file()
-    assert tmp_path.joinpath(config.directories.cache).is_dir()
-    assert tmp_path.joinpath(config.directories.output).is_dir()
+    # All config files are stashed away, no config folder path
+    assert config_eos._config_folder_path() is None
+
+    config_file_user = config_default_dir_user.joinpath(config_eos.CONFIG_FILE_NAME)
+    shutil.copy2(config_eos.config_default_file_path, config_file_user)
+    assert config_eos._config_folder_path() == config_default_dir_user
+
+    monkeypatch.setenv("EOS_DIR", str(FILE_TESTDATA_CONFIGEOS_1_DIR))
+    assert config_eos._config_folder_path() == FILE_TESTDATA_CONFIGEOS_1_DIR
+
+    # Cleanup after the test
+    os.remove(config_file_user)
+
+
+def test_config_copy(reset_config, stash_config_file, monkeypatch):
+    """Test if the config is copied to the provided path."""
+    temp_dir = tempfile.TemporaryDirectory()
+    temp_folder_path = Path(temp_dir.name)
+    temp_config_file_path = temp_folder_path.joinpath(config_eos.CONFIG_FILE_NAME).resolve()
+    monkeypatch.setenv(config_eos.EOS_DIR, str(temp_folder_path))
+    if temp_config_file_path.exists():
+        temp_config_file_path.unlink()
+    assert not temp_config_file_path.exists()
+    assert config_eos._config_folder_path() is None
+    assert config_eos._config_file_path() == temp_config_file_path
+
+    config_eos.from_config_file()
+    assert temp_config_file_path.exists()
+
+    # Cleanup after the test
+    temp_dir.cleanup()
diff --git a/tests/test_configabc.py b/tests/test_configabc.py
new file mode 100644
index 0000000..b8d9bd5
--- /dev/null
+++ b/tests/test_configabc.py
@@ -0,0 +1,94 @@
+from typing import List, Literal, Optional, no_type_check
+
+import pytest
+from pydantic import Field, ValidationError
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+
+
+class SettingsModel(SettingsBaseModel):
+    name: str = "Default Name"
+    age: int = 18
+    tags: List[str] = Field(default_factory=list)
+    readonly_field: Literal["ReadOnly"] = "ReadOnly"  # Use Literal instead of const
+
+
+def test_reset_to_defaults():
+    """Test resetting to default values."""
+    instance = SettingsModel(name="Custom Name", age=25, tags=["tag1", "tag2"])
+
+    # Modify the instance
+    instance.name = "Modified Name"
+    instance.age = 30
+    instance.tags.append("tag3")
+
+    # Ensure the instance is modified
+    assert instance.name == "Modified Name"
+    assert instance.age == 30
+    assert instance.tags == ["tag1", "tag2", "tag3"]
+
+    # Reset to defaults
+    instance.reset_to_defaults()
+
+    # Verify default values
+    assert instance.name == "Default Name"
+    assert instance.age == 18
+    assert instance.tags == []
+    assert instance.readonly_field == "ReadOnly"
+
+
+@no_type_check
+def test_reset_to_defaults_readonly_field():
+    """Ensure read-only fields remain unchanged."""
+    instance = SettingsModel()
+
+    # Attempt to modify readonly_field (should raise an error)
+    with pytest.raises(ValidationError):
+        instance.readonly_field = "New Value"
+
+    # Reset to defaults
+    instance.reset_to_defaults()
+
+    # Ensure readonly_field is still at its default value
+    assert instance.readonly_field == "ReadOnly"
+
+
+def test_reset_to_defaults_with_default_factory():
+    """Test reset with fields having default_factory."""
+
+    class FactoryModel(SettingsBaseModel):
+        items: List[int] = Field(default_factory=lambda: [1, 2, 3])
+        value: Optional[int] = None
+
+    instance = FactoryModel(items=[4, 5, 6], value=10)
+
+    # Ensure instance has custom values
+    assert instance.items == [4, 5, 6]
+    assert instance.value == 10
+
+    # Reset to defaults
+    instance.reset_to_defaults()
+
+    # Verify reset values
+    assert instance.items == [1, 2, 3]
+    assert instance.value is None
+
+
+@no_type_check
+def test_reset_to_defaults_error_handling():
+    """Ensure reset_to_defaults skips fields that cannot be set."""
+
+    class ReadOnlyModel(SettingsBaseModel):
+        readonly_field: Literal["ReadOnly"] = "ReadOnly"
+
+    instance = ReadOnlyModel()
+
+    # Attempt to modify readonly_field (should raise an error)
+    with pytest.raises(ValidationError):
+        instance.readonly_field = "New Value"
+
+    # Reset to defaults
+    instance.reset_to_defaults()
+
+    # Ensure readonly_field is unaffected
+    assert instance.readonly_field == "ReadOnly"
diff --git a/tests/testdata/EOS.config.json b/tests/testdata/EOS.config.json
new file mode 100644
index 0000000..1d82d3d
--- /dev/null
+++ b/tests/testdata/EOS.config.json
@@ -0,0 +1,122 @@
+{
+  "config_file_path": null,
+  "config_folder_path": null,
+  "data_cache_path": null,
+  "data_cache_subpath": null,
+  "data_folder_path": null,
+  "data_output_path": null,
+  "data_output_subpath": null,
+  "elecprice_provider": null,
+  "elecpriceimport_file_path": null,
+  "latitude": null,
+  "load0_import_file_path": null,
+  "load0_name": null,
+  "load0_provider": null,
+  "load1_import_file_path": null,
+  "load1_name": null,
+  "load1_provider": null,
+  "load2_import_file_path": null,
+  "load2_name": null,
+  "load2_provider": null,
+  "load3_import_file_path": null,
+  "load3_name": null,
+  "load3_provider": null,
+  "load4_import_file_path": null,
+  "load4_name": null,
+  "load4_provider": null,
+  "loadakkudoktor_year_energy": null,
+  "longitude": null,
+  "optimization_ev_available_charge_rates_percent": [],
+  "optimization_hours": 24,
+  "optimization_penalty": null,
+  "prediction_historic_hours": 48,
+  "prediction_hours": 48,
+  "pvforecast0_albedo": null,
+  "pvforecast0_inverter_model": null,
+  "pvforecast0_inverter_paco": null,
+  "pvforecast0_loss": null,
+  "pvforecast0_module_model": null,
+  "pvforecast0_modules_per_string": null,
+  "pvforecast0_mountingplace": "free",
+  "pvforecast0_optimal_surface_tilt": false,
+  "pvforecast0_optimalangles": false,
+  "pvforecast0_peakpower": null,
+  "pvforecast0_pvtechchoice": "crystSi",
+  "pvforecast0_strings_per_inverter": null,
+  "pvforecast0_surface_azimuth": 180,
+  "pvforecast0_surface_tilt": 0,
+  "pvforecast0_trackingtype": 0,
+  "pvforecast0_userhorizon": null,
+  "pvforecast1_albedo": null,
+  "pvforecast1_inverter_model": null,
+  "pvforecast1_inverter_paco": null,
+  "pvforecast1_loss": 0,
+  "pvforecast1_module_model": null,
+  "pvforecast1_modules_per_string": null,
+  "pvforecast1_mountingplace": "free",
+  "pvforecast1_optimal_surface_tilt": false,
+  "pvforecast1_optimalangles": false,
+  "pvforecast1_peakpower": null,
+  "pvforecast1_pvtechchoice": "crystSi",
+  "pvforecast1_strings_per_inverter": null,
+  "pvforecast1_surface_azimuth": 180,
+  "pvforecast1_surface_tilt": 0,
+  "pvforecast1_trackingtype": 0,
+  "pvforecast1_userhorizon": null,
+  "pvforecast2_albedo": null,
+  "pvforecast2_inverter_model": null,
+  "pvforecast2_inverter_paco": null,
+  "pvforecast2_loss": 0,
+  "pvforecast2_module_model": null,
+  "pvforecast2_modules_per_string": null,
+  "pvforecast2_mountingplace": "free",
+  "pvforecast2_optimal_surface_tilt": false,
+  "pvforecast2_optimalangles": false,
+  "pvforecast2_peakpower": null,
+  "pvforecast2_pvtechchoice": "crystSi",
+  "pvforecast2_strings_per_inverter": null,
+  "pvforecast2_surface_azimuth": 180,
+  "pvforecast2_surface_tilt": 0,
+  "pvforecast2_trackingtype": 0,
+  "pvforecast2_userhorizon": null,
+  "pvforecast3_albedo": null,
+  "pvforecast3_inverter_model": null,
+  "pvforecast3_inverter_paco": null,
+  "pvforecast3_loss": 0,
+  "pvforecast3_module_model": null,
+  "pvforecast3_modules_per_string": null,
+  "pvforecast3_mountingplace": "free",
+  "pvforecast3_optimal_surface_tilt": false,
+  "pvforecast3_optimalangles": false,
+  "pvforecast3_peakpower": null,
+  "pvforecast3_pvtechchoice": "crystSi",
+  "pvforecast3_strings_per_inverter": null,
+  "pvforecast3_surface_azimuth": 180,
+  "pvforecast3_surface_tilt": 0,
+  "pvforecast3_trackingtype": 0,
+  "pvforecast3_userhorizon": null,
+  "pvforecast4_albedo": null,
+  "pvforecast4_inverter_model": null,
+  "pvforecast4_inverter_paco": null,
+  "pvforecast4_loss": 0,
+  "pvforecast4_module_model": null,
+  "pvforecast4_modules_per_string": null,
+  "pvforecast4_mountingplace": "free",
+  "pvforecast4_optimal_surface_tilt": false,
+  "pvforecast4_optimalangles": false,
+  "pvforecast4_peakpower": null,
+  "pvforecast4_pvtechchoice": "crystSi",
+  "pvforecast4_strings_per_inverter": null,
+  "pvforecast4_surface_azimuth": 180,
+  "pvforecast4_surface_tilt": 0,
+  "pvforecast4_trackingtype": 0,
+  "pvforecast4_userhorizon": null,
+  "pvforecast_provider": null,
+  "pvforecastimport_file_path": null,
+  "server_fastapi_host": "0.0.0.0",
+  "server_fastapi_port": 8503,
+  "server_fasthtml_host": "0.0.0.0",
+  "server_fasthtml_port": 8504,
+  "weather_provider": null,
+  "weatherimport_file_path": null
+}

From 4921e7f509c2944e8ae18aac80d66469a40c4eed Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Thu, 14 Nov 2024 13:53:40 +0100
Subject: [PATCH 03/19] Add server base configuration modules.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/server/server.py | 37 ++++++++++++++++++++++++++++++
 1 file changed, 37 insertions(+)
 create mode 100644 src/akkudoktoreos/server/server.py

diff --git a/src/akkudoktoreos/server/server.py b/src/akkudoktoreos/server/server.py
new file mode 100644
index 0000000..c67a5c0
--- /dev/null
+++ b/src/akkudoktoreos/server/server.py
@@ -0,0 +1,37 @@
+"""Server Module."""
+
+from typing import Optional
+
+from pydantic import Field, IPvAnyAddress, field_validator
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__, logging_level="DEBUG")
+
+
+class ServerCommonSettings(SettingsBaseModel):
+    """Common server settings.
+
+    Attributes:
+        To be added
+    """
+
+    server_fastapi_host: Optional[IPvAnyAddress] = Field(
+        default="0.0.0.0", description="FastAPI server IP address."
+    )
+    server_fastapi_port: Optional[int] = Field(
+        default=8503, description="FastAPI server IP port number."
+    )
+    server_fasthtml_host: Optional[IPvAnyAddress] = Field(
+        default="0.0.0.0", description="FastHTML server IP address."
+    )
+    server_fasthtml_port: Optional[int] = Field(
+        default=8504, description="FastHTML server IP port number."
+    )
+
+    @field_validator("server_fastapi_port", "server_fasthtml_port")
+    def validate_server_port(cls, value: Optional[int]) -> Optional[int]:
+        if value is not None and not (1024 <= value <= 49151):
+            raise ValueError("Server port number must be between 1024 and 49151.")
+        return value

From a3faa291a833a770b203184443cb3a30362cd875 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Thu, 14 Nov 2024 13:54:37 +0100
Subject: [PATCH 04/19] Add devices base configuration modules.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/devices/devices.py    | 310 ++++++++++++++++++++++++
 src/akkudoktoreos/devices/devicesabc.py |  88 +++++++
 2 files changed, 398 insertions(+)
 create mode 100644 src/akkudoktoreos/devices/devices.py
 create mode 100644 src/akkudoktoreos/devices/devicesabc.py

diff --git a/src/akkudoktoreos/devices/devices.py b/src/akkudoktoreos/devices/devices.py
new file mode 100644
index 0000000..3cba64e
--- /dev/null
+++ b/src/akkudoktoreos/devices/devices.py
@@ -0,0 +1,310 @@
+from typing import Any, ClassVar, Dict, Optional, Union
+
+import numpy as np
+from numpydantic import NDArray, Shape
+from pydantic import Field, computed_field
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.core.coreabc import SingletonMixin
+from akkudoktoreos.devices.battery import PVAkku
+from akkudoktoreos.devices.devicesabc import DevicesBase
+from akkudoktoreos.devices.generic import HomeAppliance
+from akkudoktoreos.devices.inverter import Wechselrichter
+from akkudoktoreos.utils.datetimeutil import to_duration
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class DevicesCommonSettings(SettingsBaseModel):
+    """Base configuration for devices simulation settings."""
+
+    # Battery
+    # -------
+    battery_provider: Optional[str] = Field(
+        default=None, description="Id of Battery simulation provider."
+    )
+    battery_capacity: Optional[int] = Field(default=None, description="Battery capacity [Wh].")
+    battery_soc_start: Optional[int] = Field(
+        default=None, description="Battery initial state of charge [%]."
+    )
+    battery_soc_min: Optional[int] = Field(
+        default=None, description="Battery minimum state of charge [%]."
+    )
+    battery_soc_max: Optional[int] = Field(
+        default=None, description="Battery maximum state of charge [%]."
+    )
+    battery_charge_efficiency: Optional[float] = Field(
+        default=None, description="Battery charging efficiency [%]."
+    )
+    battery_discharge_efficiency: Optional[float] = Field(
+        default=None, description="Battery discharging efficiency [%]."
+    )
+    battery_charge_power_max: Optional[int] = Field(
+        default=None, description="Battery maximum charge power [W]."
+    )
+
+    # Battery Electric Vehicle
+    # ------------------------
+    bev_provider: Optional[str] = Field(
+        default=None, description="Id of Battery Electric Vehicle simulation provider."
+    )
+    bev_capacity: Optional[int] = Field(
+        default=None, description="Battery Electric Vehicle capacity [Wh]."
+    )
+    bev_soc_start: Optional[int] = Field(
+        default=None, description="Battery Electric Vehicle initial state of charge [%]."
+    )
+    bev_soc_max: Optional[int] = Field(
+        default=None, description="Battery Electric Vehicle maximum state of charge [%]."
+    )
+    bev_charge_efficiency: Optional[float] = Field(
+        default=None, description="Battery Electric Vehicle charging efficiency [%]."
+    )
+    bev_discharge_efficiency: Optional[float] = Field(
+        default=None, description="Battery Electric Vehicle discharging efficiency [%]."
+    )
+    bev_charge_power_max: Optional[int] = Field(
+        default=None, description="Battery Electric Vehicle maximum charge power [W]."
+    )
+
+    # Home Appliance - Dish Washer
+    # ----------------------------
+    dishwasher_provider: Optional[str] = Field(
+        default=None, description="Id of Dish Washer simulation provider."
+    )
+    dishwasher_consumption: Optional[int] = Field(
+        default=None, description="Dish Washer energy consumption [Wh]."
+    )
+    dishwasher_duration: Optional[int] = Field(
+        default=None, description="Dish Washer usage duration [h]."
+    )
+
+    # PV Inverter
+    # -----------
+    inverter_provider: Optional[str] = Field(
+        default=None, description="Id of PV Inverter simulation provider."
+    )
+    inverter_power_max: Optional[float] = Field(
+        default=None, description="Inverter maximum power [W]."
+    )
+
+
+class Devices(SingletonMixin, DevicesBase):
+    # Results of the devices simulation and
+    # insights into various parameters over the entire forecast period.
+    # -----------------------------------------------------------------
+    last_wh_pro_stunde: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None, description="The load in watt-hours per hour."
+    )
+    eauto_soc_pro_stunde: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None, description="The state of charge of the EV for each hour."
+    )
+    einnahmen_euro_pro_stunde: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None,
+        description="The revenue from grid feed-in or other sources in euros per hour.",
+    )
+    home_appliance_wh_per_hour: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None,
+        description="The energy consumption of a household appliance in watt-hours per hour.",
+    )
+    kosten_euro_pro_stunde: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None, description="The costs in euros per hour."
+    )
+    netzbezug_wh_pro_stunde: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None, description="The grid energy drawn in watt-hours per hour."
+    )
+    netzeinspeisung_wh_pro_stunde: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None, description="The energy fed into the grid in watt-hours per hour."
+    )
+    verluste_wh_pro_stunde: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None, description="The losses in watt-hours per hour."
+    )
+    akku_soc_pro_stunde: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None,
+        description="The state of charge of the battery (not the EV) in percentage per hour.",
+    )
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def total_balance_euro(self) -> float:
+        """The total balance of revenues minus costs in euros."""
+        return self.total_revenues_euro - self.total_costs_euro
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def total_revenues_euro(self) -> float:
+        """The total revenues in euros."""
+        if self.einnahmen_euro_pro_stunde is None:
+            return 0
+        return np.nansum(self.einnahmen_euro_pro_stunde)
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def total_costs_euro(self) -> float:
+        """The total costs in euros."""
+        if self.kosten_euro_pro_stunde is None:
+            return 0
+        return np.nansum(self.kosten_euro_pro_stunde)
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def total_losses_wh(self) -> float:
+        """The total losses in watt-hours over the entire period."""
+        if self.verluste_wh_pro_stunde is None:
+            return 0
+        return np.nansum(self.verluste_wh_pro_stunde)
+
+    # Devices
+    # TODO: Make devices class a container of device simulation providers.
+    #       Device simulations to be used are then enabled in the configuration.
+    akku: ClassVar[PVAkku] = PVAkku(provider_id="GenericBattery")
+    eauto: ClassVar[PVAkku] = PVAkku(provider_id="GenericBEV")
+    home_appliance: ClassVar[HomeAppliance] = HomeAppliance(provider_id="GenericDishWasher")
+    wechselrichter: ClassVar[Wechselrichter] = Wechselrichter(
+        akku=akku, provider_id="GenericInverter"
+    )
+
+    def update_data(self) -> None:
+        """Update device simulation data."""
+        # Assure devices are set up
+        self.akku.setup()
+        self.eauto.setup()
+        self.home_appliance.setup()
+        self.wechselrichter.setup()
+
+        # Pre-allocate arrays for the results, optimized for speed
+        self.last_wh_pro_stunde = np.full((self.total_hours), np.nan)
+        self.netzeinspeisung_wh_pro_stunde = np.full((self.total_hours), np.nan)
+        self.netzbezug_wh_pro_stunde = np.full((self.total_hours), np.nan)
+        self.kosten_euro_pro_stunde = np.full((self.total_hours), np.nan)
+        self.einnahmen_euro_pro_stunde = np.full((self.total_hours), np.nan)
+        self.akku_soc_pro_stunde = np.full((self.total_hours), np.nan)
+        self.eauto_soc_pro_stunde = np.full((self.total_hours), np.nan)
+        self.verluste_wh_pro_stunde = np.full((self.total_hours), np.nan)
+        self.home_appliance_wh_per_hour = np.full((self.total_hours), np.nan)
+
+        # Set initial state
+        simulation_step = to_duration("1 hour")
+        if self.akku:
+            self.akku_soc_pro_stunde[0] = self.akku.ladezustand_in_prozent()
+        if self.eauto:
+            self.eauto_soc_pro_stunde[0] = self.eauto.ladezustand_in_prozent()
+
+        # Get predictions for full device simulation time range
+        # gesamtlast[stunde]
+        load_total_mean = self.prediction.key_to_array(
+            "load_total_mean",
+            start_datetime=self.start_datetime,
+            end_datetime=self.end_datetime,
+            interval=simulation_step,
+        )
+        # pv_prognose_wh[stunde]
+        pvforecast_ac_power = self.prediction.key_to_array(
+            "pvforecast_ac_power",
+            start_datetime=self.start_datetime,
+            end_datetime=self.end_datetime,
+            interval=simulation_step,
+        )
+        # strompreis_euro_pro_wh[stunde]
+        elecprice_marketprice = self.prediction.key_to_array(
+            "elecprice_marketprice",
+            start_datetime=self.start_datetime,
+            end_datetime=self.end_datetime,
+            interval=simulation_step,
+        )
+        # einspeiseverguetung_euro_pro_wh_arr[stunde]
+        # TODO: Create prediction for einspeiseverguetung_euro_pro_wh_arr
+        einspeiseverguetung_euro_pro_wh_arr = np.full((self.total_hours), 0.078)
+
+        for stunde_since_now in range(0, self.total_hours):
+            stunde = self.start_datetime.hour + stunde_since_now
+
+            # Accumulate loads and PV generation
+            verbrauch = load_total_mean[stunde_since_now]
+            self.verluste_wh_pro_stunde[stunde_since_now] = 0.0
+
+            # Home appliances
+            if self.home_appliance:
+                ha_load = self.home_appliance.get_load_for_hour(stunde)
+                verbrauch += ha_load
+                self.home_appliance_wh_per_hour[stunde_since_now] = ha_load
+
+            # E-Auto handling
+            if self.eauto:
+                if self.ev_charge_hours[stunde] > 0:
+                    geladene_menge_eauto, verluste_eauto = self.eauto.energie_laden(
+                        None, stunde, relative_power=self.ev_charge_hours[stunde]
+                    )
+                    verbrauch += geladene_menge_eauto
+                    self.verluste_wh_pro_stunde[stunde_since_now] += verluste_eauto
+                self.eauto_soc_pro_stunde[stunde_since_now] = self.eauto.ladezustand_in_prozent()
+
+            # Process inverter logic
+            netzeinspeisung, netzbezug, verluste, eigenverbrauch = (0.0, 0.0, 0.0, 0.0)
+            if self.akku:
+                self.akku.set_charge_allowed_for_hour(self.dc_charge_hours[stunde], stunde)
+            if self.wechselrichter:
+                erzeugung = pvforecast_ac_power[stunde]
+                netzeinspeisung, netzbezug, verluste, eigenverbrauch = (
+                    self.wechselrichter.energie_verarbeiten(erzeugung, verbrauch, stunde)
+                )
+
+            # AC PV Battery Charge
+            if self.akku and self.ac_charge_hours[stunde] > 0.0:
+                self.akku.set_charge_allowed_for_hour(1, stunde)
+                geladene_menge, verluste_wh = self.akku.energie_laden(
+                    None, stunde, relative_power=self.ac_charge_hours[stunde]
+                )
+                # print(stunde, " ", geladene_menge, " ",self.ac_charge_hours[stunde]," ",self.akku.ladezustand_in_prozent())
+                verbrauch += geladene_menge
+                netzbezug += geladene_menge
+                self.verluste_wh_pro_stunde[stunde_since_now] += verluste_wh
+
+            self.netzeinspeisung_wh_pro_stunde[stunde_since_now] = netzeinspeisung
+            self.netzbezug_wh_pro_stunde[stunde_since_now] = netzbezug
+            self.verluste_wh_pro_stunde[stunde_since_now] += verluste
+            self.last_wh_pro_stunde[stunde_since_now] = verbrauch
+
+            # Financial calculations
+            self.kosten_euro_pro_stunde[stunde_since_now] = (
+                netzbezug * self.strompreis_euro_pro_wh[stunde]
+            )
+            self.einnahmen_euro_pro_stunde[stunde_since_now] = (
+                netzeinspeisung * self.einspeiseverguetung_euro_pro_wh_arr[stunde]
+            )
+
+            # Akku SOC tracking
+            if self.akku:
+                self.akku_soc_pro_stunde[stunde_since_now] = self.akku.ladezustand_in_prozent()
+            else:
+                self.akku_soc_pro_stunde[stunde_since_now] = 0.0
+
+    def report_dict(self) -> Dict[str, Any]:
+        """Provides devices simulation output as a dictionary."""
+        out: Dict[str, Optional[Union[np.ndarray, float]]] = {
+            "Last_Wh_pro_Stunde": self.last_wh_pro_stunde,
+            "Netzeinspeisung_Wh_pro_Stunde": self.netzeinspeisung_wh_pro_stunde,
+            "Netzbezug_Wh_pro_Stunde": self.netzbezug_wh_pro_stunde,
+            "Kosten_Euro_pro_Stunde": self.kosten_euro_pro_stunde,
+            "akku_soc_pro_stunde": self.akku_soc_pro_stunde,
+            "Einnahmen_Euro_pro_Stunde": self.einnahmen_euro_pro_stunde,
+            "Gesamtbilanz_Euro": self.total_balance_euro,
+            "EAuto_SoC_pro_Stunde": self.eauto_soc_pro_stunde,
+            "Gesamteinnahmen_Euro": self.total_revenues_euro,
+            "Gesamtkosten_Euro": self.total_costs_euro,
+            "Verluste_Pro_Stunde": self.verluste_wh_pro_stunde,
+            "Gesamt_Verluste": self.total_losses_wh,
+            "Home_appliance_wh_per_hour": self.home_appliance_wh_per_hour,
+        }
+        return out
+
+
+# Initialize the Devices  simulation, it is a singleton.
+devices = Devices()
+
+
+def get_devices() -> Devices:
+    """Gets the EOS Devices simulation."""
+    return devices
diff --git a/src/akkudoktoreos/devices/devicesabc.py b/src/akkudoktoreos/devices/devicesabc.py
new file mode 100644
index 0000000..cba7769
--- /dev/null
+++ b/src/akkudoktoreos/devices/devicesabc.py
@@ -0,0 +1,88 @@
+"""Abstract and base classes for devices."""
+
+from typing import Optional
+
+from pendulum import DateTime
+from pydantic import computed_field
+
+from akkudoktoreos.core.coreabc import (
+    ConfigMixin,
+    EnergyManagementSystemMixin,
+    PredictionMixin,
+)
+from akkudoktoreos.core.pydantic import PydanticBaseModel
+from akkudoktoreos.utils.datetimeutil import to_duration
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class DevicesStartEndMixin(ConfigMixin, EnergyManagementSystemMixin):
+    """A mixin to manage start, end datetimes for devices data.
+
+    The starting datetime for devices data generation is provided by the energy management
+    system. Device data cannot be computed if this value is `None`.
+    """
+
+    # Computed field for end_datetime and keep_datetime
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def end_datetime(self) -> Optional[DateTime]:
+        """Compute the end datetime based on the `start_datetime` and `prediction_hours`.
+
+        Ajusts the calculated end time if DST transitions occur within the prediction window.
+
+        Returns:
+            Optional[DateTime]: The calculated end datetime, or `None` if inputs are missing.
+        """
+        if self.ems.start_datetime and self.config.prediction_hours:
+            end_datetime = self.ems.start_datetime + to_duration(
+                f"{self.config.prediction_hours} hours"
+            )
+            dst_change = end_datetime.offset_hours - self.ems.start_datetime.offset_hours
+            logger.debug(
+                f"Pre: {self.ems.start_datetime}..{end_datetime}: DST change: {dst_change}"
+            )
+            if dst_change < 0:
+                end_datetime = end_datetime + to_duration(f"{abs(int(dst_change))} hours")
+            elif dst_change > 0:
+                end_datetime = end_datetime - to_duration(f"{abs(int(dst_change))} hours")
+            logger.debug(
+                f"Pst: {self.ems.start_datetime}..{end_datetime}: DST change: {dst_change}"
+            )
+            return end_datetime
+        return None
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def total_hours(self) -> Optional[int]:
+        """Compute the hours from `start_datetime` to `end_datetime`.
+
+        Returns:
+            Optional[pendulum.period]: The duration hours, or `None` if either datetime is unavailable.
+        """
+        end_dt = self.end_datetime
+        if end_dt is None:
+            return None
+        duration = end_dt - self.ems.start_datetime
+        return int(duration.total_hours())
+
+
+class DeviceBase(DevicesStartEndMixin, PredictionMixin):
+    """Base class for device simulations.
+
+    Enables access to EOS configuration data (attribute `config`) and EOS prediction data (attribute
+    `prediction`).
+    """
+
+    pass
+
+
+class DevicesBase(DevicesStartEndMixin, PredictionMixin, PydanticBaseModel):
+    """Base class for handling device data.
+
+    Enables access to EOS configuration data (attribute `config`) and EOS prediction data (attribute
+    `prediction`).
+    """
+
+    pass

From 87d3bd8d6e722d068d19733a4c70fa786168758e Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Thu, 14 Nov 2024 13:56:05 +0100
Subject: [PATCH 05/19] Add optimization base configuration modules.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 .../optimization/optimization.py              | 42 +++++++++++++++++++
 .../optimization/optimizationabc.py           | 17 ++++++++
 src/akkudoktoreos/utils/utils.py              | 16 -------
 tests/test_class_optimize.py                  | 15 ++++---
 4 files changed, 66 insertions(+), 24 deletions(-)
 create mode 100644 src/akkudoktoreos/optimization/optimization.py
 create mode 100644 src/akkudoktoreos/optimization/optimizationabc.py

diff --git a/src/akkudoktoreos/optimization/optimization.py b/src/akkudoktoreos/optimization/optimization.py
new file mode 100644
index 0000000..34e074c
--- /dev/null
+++ b/src/akkudoktoreos/optimization/optimization.py
@@ -0,0 +1,42 @@
+from typing import List, Optional
+
+from pydantic import Field
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class OptimizationCommonSettings(SettingsBaseModel):
+    """Base configuration for optimization settings.
+
+    Attributes:
+        optimization_hours (int): Number of hours for optimizations.
+    """
+
+    optimization_hours: Optional[int] = Field(
+        default=24, ge=0, description="Number of hours into the future for optimizations."
+    )
+
+    optimization_penalty: Optional[int] = Field(
+        default=10, description="Penalty factor used in optimization."
+    )
+
+    optimization_ev_available_charge_rates_percent: Optional[List[float]] = Field(
+        default=[
+            0.0,
+            6.0 / 16.0,
+            # 7.0 / 16.0,
+            8.0 / 16.0,
+            # 9.0 / 16.0,
+            10.0 / 16.0,
+            # 11.0 / 16.0,
+            12.0 / 16.0,
+            # 13.0 / 16.0,
+            14.0 / 16.0,
+            # 15.0 / 16.0,
+            1.0,
+        ],
+        description="Charge rates available for the EV in percent of maximum charge.",
+    )
diff --git a/src/akkudoktoreos/optimization/optimizationabc.py b/src/akkudoktoreos/optimization/optimizationabc.py
new file mode 100644
index 0000000..e9258a0
--- /dev/null
+++ b/src/akkudoktoreos/optimization/optimizationabc.py
@@ -0,0 +1,17 @@
+"""Abstract and base classes for optimization."""
+
+from akkudoktoreos.core.coreabc import ConfigMixin, PredictionMixin
+from akkudoktoreos.core.pydantic import PydanticBaseModel
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class OptimizationBase(ConfigMixin, PredictionMixin, PydanticBaseModel):
+    """Base class for handling optimization data.
+
+    Enables access to EOS configuration data (attribute `config`) and EOS prediction data (attribute
+    `prediction`).
+    """
+
+    pass
diff --git a/src/akkudoktoreos/utils/utils.py b/src/akkudoktoreos/utils/utils.py
index 39f0dd7..8e66aed 100644
--- a/src/akkudoktoreos/utils/utils.py
+++ b/src/akkudoktoreos/utils/utils.py
@@ -1,25 +1,9 @@
-import datetime
 import json
-import zoneinfo
 from typing import Any
 
 import numpy as np
 
 
-# currently unused
-def ist_dst_wechsel(tag: datetime.datetime, timezone: str = "Europe/Berlin") -> bool:
-    """Checks if Daylight Saving Time (DST) starts or ends on a given day."""
-    tz = zoneinfo.ZoneInfo(timezone)
-    # Get the current day and the next day
-    current_day = datetime.datetime(tag.year, tag.month, tag.day)
-    next_day = current_day + datetime.timedelta(days=1)
-
-    # Check if the UTC offsets are different (indicating a DST change)
-    dst_change = current_day.replace(tzinfo=tz).dst() != next_day.replace(tzinfo=tz).dst()
-
-    return dst_change
-
-
 class NumpyEncoder(json.JSONEncoder):
     @classmethod
     def convert_numpy(cls, obj: Any) -> tuple[Any, bool]:
diff --git a/tests/test_class_optimize.py b/tests/test_class_optimize.py
index 36821c4..392e0eb 100644
--- a/tests/test_class_optimize.py
+++ b/tests/test_class_optimize.py
@@ -5,7 +5,7 @@
 
 import pytest
 
-from akkudoktoreos.config import AppConfig
+from akkudoktoreos.config.config import get_config
 from akkudoktoreos.optimization.genetic import (
     OptimizationParameters,
     OptimizeResponse,
@@ -39,14 +39,13 @@ def compare_dict(actual: dict[str, Any], expected: dict[str, Any]):
 )
 @patch("akkudoktoreos.optimization.genetic.visualisiere_ergebnisse")
 def test_optimize(
-    visualisiere_ergebnisse_patch,
-    fn_in: str,
-    fn_out: str,
-    ngen: int,
-    is_full_run: bool,
-    tmp_config: AppConfig,
+    visualisiere_ergebnisse_patch, fn_in: str, fn_out: str, ngen: int, is_full_run: bool
 ):
     """Test optimierung_ems."""
+    # Assure configuration holds the correct values
+    config_eos = get_config()
+    config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 24})
+
     # Load input and output data
     file = DIR_TESTDATA / fn_in
     with file.open("r") as f_in:
@@ -56,7 +55,7 @@ def test_optimize(
     with file.open("r") as f_out:
         expected_result = OptimizeResponse(**json.load(f_out))
 
-    opt_class = optimization_problem(tmp_config, fixed_seed=42)
+    opt_class = optimization_problem(fixed_seed=42)
     start_hour = 10
 
     if ngen > 10 and not is_full_run:

From 485c76c3f8ed008f095947172d5a041f95ad8ed5 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Thu, 14 Nov 2024 13:56:50 +0100
Subject: [PATCH 06/19] Add utils base configuration modules.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/utils/datetimeutil.py | 23 ++---------------------
 src/akkudoktoreos/utils/utils.py        |  9 +++++++++
 2 files changed, 11 insertions(+), 21 deletions(-)

diff --git a/src/akkudoktoreos/utils/datetimeutil.py b/src/akkudoktoreos/utils/datetimeutil.py
index 101af25..507a174 100644
--- a/src/akkudoktoreos/utils/datetimeutil.py
+++ b/src/akkudoktoreos/utils/datetimeutil.py
@@ -24,7 +24,8 @@
 
 import re
 from datetime import date, datetime, timedelta
-from typing import Any, Literal, Optional, Set, Union, overload
+from typing import Any, Optional, Set, Union
+
 import pendulum
 from pendulum import DateTime
 from pendulum.tz.timezone import Timezone
@@ -35,26 +36,6 @@
 logger = get_logger(__name__)
 
 
-@overload
-def to_datetime(
-    date_input: Union[datetime, date, str, int, float, None],
-    as_string: str | Literal[True],
-    to_timezone: Optional[Union[Timezone, str]] = None,
-    to_naiv: Optional[bool] = None,
-    to_maxtime: Optional[bool] = None,
-) -> str: ...
-
-
-@overload
-def to_datetime(
-    date_input: Union[datetime, date, str, int, float, None],
-    as_string: Literal[False] | None = None,
-    to_timezone: Optional[Union[Timezone, str]] = None,
-    to_naiv: Optional[bool] = None,
-    to_maxtime: Optional[bool] = None,
-) -> datetime: ...
-
-
 def to_datetime(
     date_input: Optional[Any] = None,
     as_string: Optional[Union[str, bool]] = None,
diff --git a/src/akkudoktoreos/utils/utils.py b/src/akkudoktoreos/utils/utils.py
index 8e66aed..28dabe1 100644
--- a/src/akkudoktoreos/utils/utils.py
+++ b/src/akkudoktoreos/utils/utils.py
@@ -3,6 +3,15 @@
 
 import numpy as np
 
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class UtilsCommonSettings(SettingsBaseModel):
+    pass
+
 
 class NumpyEncoder(json.JSONEncoder):
     @classmethod

From 8db0792f85e7c600de401f76d4d55c1b5694cf09 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Mon, 11 Nov 2024 17:04:44 +0100
Subject: [PATCH 07/19] Add prediction abstract and base classes plus tests.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/prediction/prediction.py    | 173 +++++++
 src/akkudoktoreos/prediction/predictionabc.py | 242 ++++++++++
 tests/test_prediction.py                      | 226 +++++++++
 tests/test_predictionabc.py                   | 437 ++++++++++++++++++
 4 files changed, 1078 insertions(+)
 create mode 100644 src/akkudoktoreos/prediction/prediction.py
 create mode 100644 src/akkudoktoreos/prediction/predictionabc.py
 create mode 100644 tests/test_prediction.py
 create mode 100644 tests/test_predictionabc.py

diff --git a/src/akkudoktoreos/prediction/prediction.py b/src/akkudoktoreos/prediction/prediction.py
new file mode 100644
index 0000000..dac34f3
--- /dev/null
+++ b/src/akkudoktoreos/prediction/prediction.py
@@ -0,0 +1,173 @@
+"""Prediction module for weather and photovoltaic forecasts.
+
+This module provides a `Prediction` class to manage and update a sequence of
+prediction providers. The `Prediction` class is a subclass of `PredictionContainer`
+and is initialized with a set of forecast providers, such as `WeatherBrightSky`,
+`WeatherClearOutside`, and `PVForecastAkkudoktor`.
+
+Usage:
+    Instantiate the `Prediction` class with the required providers, maintaining
+    the necessary order. Then call the `update` method to refresh forecasts from
+    all providers in sequence.
+
+Example:
+    # Create singleton prediction instance with prediction providers
+    from akkudoktoreos.prediction.prediction import prediction
+
+    prediction.update_data()
+    print("Prediction:", prediction)
+
+Classes:
+    Prediction: Manages a list of forecast providers to fetch and update predictions.
+
+Attributes:
+    pvforecast_akkudoktor (PVForecastAkkudoktor): Forecast provider for photovoltaic data.
+    weather_brightsky (WeatherBrightSky): Weather forecast provider using BrightSky.
+    weather_clearoutside (WeatherClearOutside): Weather forecast provider using ClearOutside.
+"""
+
+from typing import List, Optional, Union
+
+from pydantic import Field, computed_field
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.prediction.elecpriceakkudoktor import ElecPriceAkkudoktor
+from akkudoktoreos.prediction.elecpriceimport import ElecPriceImport
+from akkudoktoreos.prediction.loadakkudoktor import LoadAkkudoktor
+from akkudoktoreos.prediction.loadimport import LoadImport
+from akkudoktoreos.prediction.predictionabc import PredictionContainer
+from akkudoktoreos.prediction.pvforecastakkudoktor import PVForecastAkkudoktor
+from akkudoktoreos.prediction.pvforecastimport import PVForecastImport
+from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
+from akkudoktoreos.prediction.weatherclearoutside import WeatherClearOutside
+from akkudoktoreos.prediction.weatherimport import WeatherImport
+from akkudoktoreos.utils.datetimeutil import to_timezone
+
+
+class PredictionCommonSettings(SettingsBaseModel):
+    """Base configuration for prediction settings, including forecast duration, geographic location, and time zone.
+
+    This class provides configuration for prediction settings, allowing users to specify
+    parameters such as the forecast duration (in hours) and location (latitude and longitude).
+    Validators ensure each parameter is within a specified range. A computed property, `timezone`,
+    determines the time zone based on latitude and longitude.
+
+    Attributes:
+        prediction_hours (Optional[int]): Number of hours into the future for predictions.
+            Must be non-negative.
+        prediction_historic_hours (Optional[int]): Number of hours into the past for historical data.
+            Must be non-negative.
+        latitude (Optional[float]): Latitude in degrees, must be between -90 and 90.
+        longitude (Optional[float]): Longitude in degrees, must be between -180 and 180.
+
+    Properties:
+        timezone (Optional[str]): Computed time zone string based on the specified latitude
+            and longitude.
+
+    Validators:
+        validate_prediction_hours (int): Ensures `prediction_hours` is a non-negative integer.
+        validate_prediction_historic_hours (int): Ensures `prediction_historic_hours` is a non-negative integer.
+        validate_latitude (float): Ensures `latitude` is within the range -90 to 90.
+        validate_longitude (float): Ensures `longitude` is within the range -180 to 180.
+    """
+
+    prediction_hours: Optional[int] = Field(
+        default=48, ge=0, description="Number of hours into the future for predictions"
+    )
+    prediction_historic_hours: Optional[int] = Field(
+        default=48,
+        ge=0,
+        description="Number of hours into the past for historical predictions data",
+    )
+    latitude: Optional[float] = Field(
+        default=None,
+        ge=-90.0,
+        le=90.0,
+        description="Latitude in decimal degrees, between -90 and 90, north is positive (ISO 19115) (°)",
+    )
+    longitude: Optional[float] = Field(
+        default=None,
+        ge=-180.0,
+        le=180.0,
+        description="Longitude in decimal degrees, within -180 to 180 (°)",
+    )
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def timezone(self) -> Optional[str]:
+        """Compute timezone based on latitude and longitude."""
+        if self.latitude and self.longitude:
+            return to_timezone(location={self.latitude, self.longitude}, as_string=True)
+        return None
+
+
+class Prediction(PredictionContainer):
+    """Prediction container to manage multiple prediction providers.
+
+    Attributes:
+        providers (List[Union[PVForecastAkkudoktor, WeatherBrightSky, WeatherClearOutside]]):
+            List of forecast provider instances, in the order they should be updated.
+            Providers may depend on updates from others.
+    """
+
+    providers: List[
+        Union[
+            ElecPriceAkkudoktor,
+            ElecPriceImport,
+            LoadAkkudoktor,
+            LoadImport,
+            PVForecastAkkudoktor,
+            PVForecastImport,
+            WeatherBrightSky,
+            WeatherClearOutside,
+            WeatherImport,
+        ]
+    ] = Field(default_factory=list, description="List of prediction providers")
+
+
+# Initialize forecast providers, all are singletons.
+elecprice_akkudoktor = ElecPriceAkkudoktor()
+elecprice_import = ElecPriceImport()
+load_akkudoktor = LoadAkkudoktor()
+load_import = LoadImport()
+pvforecast_akkudoktor = PVForecastAkkudoktor()
+pvforecast_import = PVForecastImport()
+weather_brightsky = WeatherBrightSky()
+weather_clearoutside = WeatherClearOutside()
+weather_import = WeatherImport()
+
+
+def get_prediction() -> Prediction:
+    """Gets the EOS prediction data."""
+    # Initialize Prediction instance with providers in the required order
+    # Care for provider sequence as providers may rely on others to be updated before.
+    prediction = Prediction(
+        providers=[
+            elecprice_akkudoktor,
+            elecprice_import,
+            load_akkudoktor,
+            load_import,
+            pvforecast_akkudoktor,
+            pvforecast_import,
+            weather_brightsky,
+            weather_clearoutside,
+            weather_import,
+        ]
+    )
+    return prediction
+
+
+def main() -> None:
+    """Main function to update and display predictions.
+
+    This function initializes and updates the forecast providers in sequence
+    according to the `Prediction` instance, then prints the updated prediction data.
+    """
+    prediction = get_prediction()
+    prediction.update_data()
+    print(f"Prediction: {prediction}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/akkudoktoreos/prediction/predictionabc.py b/src/akkudoktoreos/prediction/predictionabc.py
new file mode 100644
index 0000000..3381f13
--- /dev/null
+++ b/src/akkudoktoreos/prediction/predictionabc.py
@@ -0,0 +1,242 @@
+"""Abstract and base classes for predictions.
+
+This module provides classes for managing and processing prediction data in a flexible, configurable manner.
+It includes classes to handle configurations, record structures, sequences, and containers for prediction data,
+enabling efficient storage, retrieval, and manipulation of prediction records.
+
+This module is designed for use in predictive modeling workflows, facilitating the organization, serialization,
+and manipulation of configuration and prediction data in a clear, scalable, and structured manner.
+"""
+
+from typing import List, Optional
+
+from pendulum import DateTime
+from pydantic import Field, computed_field
+
+from akkudoktoreos.core.dataabc import (
+    DataBase,
+    DataContainer,
+    DataImportProvider,
+    DataProvider,
+    DataRecord,
+    DataSequence,
+)
+from akkudoktoreos.utils.datetimeutil import to_duration
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class PredictionBase(DataBase):
+    """Base class for handling prediction data.
+
+    Enables access to EOS configuration data (attribute `config`).
+    """
+
+    pass
+
+
+class PredictionRecord(DataRecord):
+    """Base class for prediction records, enabling dynamic access to fields defined in derived classes.
+
+    Fields can be accessed and mutated both using dictionary-style access (`record['field_name']`)
+    and attribute-style access (`record.field_name`).
+
+    Attributes:
+        date_time (Optional[AwareDatetime]): Aware datetime indicating when the prediction record applies.
+
+    Configurations:
+        - Allows mutation after creation.
+        - Supports non-standard data types like `datetime`.
+    """
+
+    pass
+
+
+class PredictionSequence(DataSequence):
+    """A managed sequence of PredictionRecord instances with list-like behavior.
+
+    The PredictionSequence class provides an ordered, mutable collection of PredictionRecord
+    instances, allowing list-style access for adding, deleting, and retrieving records. It also
+    supports advanced data operations such as JSON serialization, conversion to Pandas Series,
+    and sorting by timestamp.
+
+    Attributes:
+        records (List[PredictionRecord]): A list of PredictionRecord instances representing
+                                          individual prediction data points.
+        record_keys (Optional[List[str]]): A list of field names (keys) expected in each
+                                           PredictionRecord.
+
+    Note:
+        Derived classes have to provide their own records field with correct record type set.
+
+    Usage:
+        # Example of creating, adding, and using PredictionSequence
+        class DerivedSequence(PredictionSquence):
+            records: List[DerivedPredictionRecord] = Field(default_factory=list,
+                                                        description="List of prediction records")
+
+        seq = DerivedSequence()
+        seq.insert(DerivedPredictionRecord(date_time=datetime.now(), temperature=72))
+        seq.insert(DerivedPredictionRecord(date_time=datetime.now(), temperature=75))
+
+        # Convert to JSON and back
+        json_data = seq.to_json()
+        new_seq = DerivedSequence.from_json(json_data)
+
+        # Convert to Pandas Series
+        series = seq.key_to_series('temperature')
+    """
+
+    # To be overloaded by derived classes.
+    records: List[PredictionRecord] = Field(
+        default_factory=list, description="List of prediction records"
+    )
+
+
+class PredictionStartEndKeepMixin(PredictionBase):
+    """A mixin to manage start, end, and historical retention datetimes for prediction data.
+
+    The starting datetime for prediction data generation is provided by the energy management
+    system. Predictions cannot be computed if this value is `None`.
+    """
+
+    # Computed field for end_datetime and keep_datetime
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def end_datetime(self) -> Optional[DateTime]:
+        """Compute the end datetime based on the `start_datetime` and `prediction_hours`.
+
+        Ajusts the calculated end time if DST transitions occur within the prediction window.
+
+        Returns:
+            Optional[DateTime]: The calculated end datetime, or `None` if inputs are missing.
+        """
+        if self.start_datetime and self.config.prediction_hours:
+            end_datetime = self.start_datetime + to_duration(
+                f"{self.config.prediction_hours} hours"
+            )
+            dst_change = end_datetime.offset_hours - self.start_datetime.offset_hours
+            logger.debug(f"Pre: {self.start_datetime}..{end_datetime}: DST change: {dst_change}")
+            if dst_change < 0:
+                end_datetime = end_datetime + to_duration(f"{abs(int(dst_change))} hours")
+            elif dst_change > 0:
+                end_datetime = end_datetime - to_duration(f"{abs(int(dst_change))} hours")
+            logger.debug(f"Pst: {self.start_datetime}..{end_datetime}: DST change: {dst_change}")
+            return end_datetime
+        return None
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def keep_datetime(self) -> Optional[DateTime]:
+        """Compute the keep datetime for historical data retention.
+
+        Returns:
+            Optional[DateTime]: The calculated retention cutoff datetime, or `None` if inputs are missing.
+        """
+        if self.start_datetime and self.config.prediction_historic_hours:
+            return self.start_datetime - to_duration(
+                f"{int(self.config.prediction_historic_hours)} hours"
+            )
+        return None
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def total_hours(self) -> Optional[int]:
+        """Compute the hours from `start_datetime` to `end_datetime`.
+
+        Returns:
+            Optional[pendulum.period]: The duration hours, or `None` if either datetime is unavailable.
+        """
+        end_dt = self.end_datetime
+        if end_dt is None:
+            return None
+        duration = end_dt - self.start_datetime
+        return int(duration.total_hours())
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def keep_hours(self) -> Optional[int]:
+        """Compute the hours from `keep_datetime` to `start_datetime`.
+
+        Returns:
+            Optional[pendulum.period]: The duration hours, or `None` if either datetime is unavailable.
+        """
+        keep_dt = self.keep_datetime
+        if keep_dt is None:
+            return None
+        duration = self.start_datetime - keep_dt
+        return int(duration.total_hours())
+
+
+class PredictionProvider(PredictionStartEndKeepMixin, DataProvider):
+    """Abstract base class for prediction providers with singleton thread-safety and configurable prediction parameters.
+
+    This class serves as a base for managing prediction data, providing an interface for derived
+    classes to maintain a single instance across threads. It offers attributes for managing
+    prediction and historical data retention.
+
+    Note:
+        Derived classes have to provide their own records field with correct record type set.
+    """
+
+    def update_data(
+        self,
+        force_enable: Optional[bool] = False,
+        force_update: Optional[bool] = False,
+    ) -> None:
+        """Update prediction parameters and call the custom update function.
+
+        Updates the configuration, deletes outdated records, and performs the custom update logic.
+
+        Args:
+            force_enable (bool, optional): If True, forces the update even if the provider is disabled.
+            force_update (bool, optional): If True, forces the provider to update the data even if still cached.
+        """
+        # Update prediction configuration
+        self.config.update()
+
+        # Check after configuration is updated.
+        if not force_enable and not self.enabled():
+            return
+
+        # Delete outdated records before updating
+        self.delete_by_datetime(end_datetime=self.keep_datetime)
+
+        # Call the custom update logic
+        self._update_data(force_update=force_update)
+
+        # Assure records are sorted.
+        self.sort_by_datetime()
+
+
+class PredictionImportProvider(PredictionProvider, DataImportProvider):
+    """Abstract base class for prediction providers that import prediction data.
+
+    This class is designed to handle prediction data provided in the form of a key-value dictionary.
+    - **Keys**: Represent identifiers from the record keys of a specific prediction.
+    - **Values**: Are lists of prediction values starting at a specified `start_datetime`, where
+      each value corresponds to a subsequent time interval (e.g., hourly).
+
+    Subclasses must implement the logic for managing prediction data based on the imported records.
+    """
+
+    pass
+
+
+class PredictionContainer(PredictionStartEndKeepMixin, DataContainer):
+    """A container for managing multiple PredictionProvider instances.
+
+    This class enables access to data from multiple prediction providers, supporting retrieval and
+    aggregation of their data as Pandas Series objects. It acts as a dictionary-like structure
+    where each key represents a specific data field, and the value is a Pandas Series containing
+    combined data from all PredictionProvider instances for that key.
+
+    Note:
+        Derived classes have to provide their own providers field with correct provider type set.
+    """
+
+    # To be overloaded by derived classes.
+    providers: List[PredictionProvider] = Field(
+        default_factory=list, description="List of prediction providers"
+    )
diff --git a/tests/test_prediction.py b/tests/test_prediction.py
new file mode 100644
index 0000000..95e7758
--- /dev/null
+++ b/tests/test_prediction.py
@@ -0,0 +1,226 @@
+import pytest
+from pydantic import ValidationError
+
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.elecpriceakkudoktor import ElecPriceAkkudoktor
+from akkudoktoreos.prediction.elecpriceimport import ElecPriceImport
+from akkudoktoreos.prediction.loadakkudoktor import LoadAkkudoktor
+from akkudoktoreos.prediction.loadimport import LoadImport
+from akkudoktoreos.prediction.prediction import (
+    Prediction,
+    PredictionCommonSettings,
+    get_prediction,
+)
+from akkudoktoreos.prediction.pvforecastakkudoktor import PVForecastAkkudoktor
+from akkudoktoreos.prediction.pvforecastimport import PVForecastImport
+from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
+from akkudoktoreos.prediction.weatherclearoutside import WeatherClearOutside
+from akkudoktoreos.prediction.weatherimport import WeatherImport
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime
+
+
+@pytest.fixture
+def sample_settings(reset_config):
+    """Fixture that adds settings data to the global config."""
+    settings = {
+        "prediction_hours": 48,
+        "prediction_historic_hours": 24,
+        "latitude": 50.8588,
+        "longitude": 7.3747,
+        "pvforecast_provider": "PVForecastAkkudoktor",
+        "pvforecast0_peakpower": 5.0,
+        "pvforecast0_surface_azimuth": -10,
+        "pvforecast0_surface_tilt": 7,
+        "pvforecast0_userhorizon": [20, 27, 22, 20],
+        "pvforecast0_inverter_paco": 10000,
+        "pvforecast1_peakpower": 4.8,
+        "pvforecast1_surface_azimuth": -90,
+        "pvforecast1_surface_tilt": 7,
+        "pvforecast1_userhorizon": [30, 30, 30, 50],
+        "pvforecast1_inverter_paco": 10000,
+        "pvforecast2_peakpower": 1.4,
+        "pvforecast2_surface_azimuth": -40,
+        "pvforecast2_surface_tilt": 60,
+        "pvforecast2_userhorizon": [60, 30, 0, 30],
+        "pvforecast2_inverter_paco": 2000,
+        "pvforecast3_peakpower": 1.6,
+        "pvforecast3_surface_azimuth": 5,
+        "pvforecast3_surface_tilt": 45,
+        "pvforecast3_userhorizon": [45, 25, 30, 60],
+        "pvforecast3_inverter_paco": 1400,
+        "pvforecast4_peakpower": None,
+    }
+
+    # Merge settings to config
+    config = get_config()
+    config.merge_settings_from_dict(settings)
+    return config
+
+
+@pytest.fixture
+def prediction():
+    """All EOS predictions."""
+    return get_prediction()
+
+
+@pytest.fixture
+def forecast_providers():
+    """Fixture for singleton forecast provider instances."""
+    return [
+        ElecPriceAkkudoktor(),
+        ElecPriceImport(),
+        LoadAkkudoktor(),
+        LoadImport(),
+        PVForecastAkkudoktor(),
+        PVForecastImport(),
+        WeatherBrightSky(),
+        WeatherClearOutside(),
+        WeatherImport(),
+    ]
+
+
+@pytest.mark.parametrize(
+    "prediction_hours, prediction_historic_hours, latitude, longitude, expected_timezone",
+    [
+        (48, 24, 40.7128, -74.0060, "America/New_York"),  # Valid latitude/longitude
+        (0, 0, None, None, None),  # No location
+        (100, 50, 51.5074, -0.1278, "Etc/GMT-3"),  # Another valid location
+    ],
+)
+def test_prediction_common_settings_valid(
+    prediction_hours, prediction_historic_hours, latitude, longitude, expected_timezone
+):
+    """Test valid settings for PredictionCommonSettings."""
+    settings = PredictionCommonSettings(
+        prediction_hours=prediction_hours,
+        prediction_historic_hours=prediction_historic_hours,
+        latitude=latitude,
+        longitude=longitude,
+    )
+    assert settings.prediction_hours == prediction_hours
+    assert settings.prediction_historic_hours == prediction_historic_hours
+    assert settings.latitude == latitude
+    assert settings.longitude == longitude
+    assert settings.timezone == expected_timezone
+
+
+@pytest.mark.parametrize(
+    "field_name, invalid_value, expected_error",
+    [
+        ("prediction_hours", -1, "Input should be greater than or equal to 0"),
+        ("prediction_historic_hours", -5, "Input should be greater than or equal to 0"),
+        ("latitude", -91.0, "Input should be greater than or equal to -90"),
+        ("latitude", 91.0, "Input should be less than or equal to 90"),
+        ("longitude", -181.0, "Input should be greater than or equal to -180"),
+        ("longitude", 181.0, "Input should be less than or equal to 180"),
+    ],
+)
+def test_prediction_common_settings_invalid(field_name, invalid_value, expected_error):
+    """Test invalid settings for PredictionCommonSettings."""
+    valid_data = {
+        "prediction_hours": 48,
+        "prediction_historic_hours": 24,
+        "latitude": 40.7128,
+        "longitude": -74.0060,
+    }
+    valid_data[field_name] = invalid_value
+
+    with pytest.raises(ValidationError, match=expected_error):
+        PredictionCommonSettings(**valid_data)
+
+
+def test_prediction_common_settings_no_location():
+    """Test that timezone is None when latitude and longitude are not provided."""
+    settings = PredictionCommonSettings(
+        prediction_hours=48, prediction_historic_hours=24, latitude=None, longitude=None
+    )
+    assert settings.timezone is None
+
+
+def test_prediction_common_settings_with_location():
+    """Test that timezone is correctly computed when latitude and longitude are provided."""
+    settings = PredictionCommonSettings(
+        prediction_hours=48, prediction_historic_hours=24, latitude=34.0522, longitude=-118.2437
+    )
+    assert settings.timezone == "America/Los_Angeles"
+
+
+def test_prediction_common_settings_timezone_none_when_coordinates_missing():
+    """Test that timezone is None when latitude or longitude is missing."""
+    config_no_latitude = PredictionCommonSettings(longitude=-74.0060)
+    config_no_longitude = PredictionCommonSettings(latitude=40.7128)
+    config_no_coords = PredictionCommonSettings()
+
+    assert config_no_latitude.timezone is None
+    assert config_no_longitude.timezone is None
+    assert config_no_coords.timezone is None
+
+
+def test_initialization(prediction, forecast_providers):
+    """Test that Prediction is initialized with the correct providers in sequence."""
+    assert isinstance(prediction, Prediction)
+    assert prediction.providers == forecast_providers
+
+
+def test_provider_sequence(prediction):
+    """Test the provider sequence is maintained in the Prediction instance."""
+    assert isinstance(prediction.providers[0], ElecPriceAkkudoktor)
+    assert isinstance(prediction.providers[1], ElecPriceImport)
+    assert isinstance(prediction.providers[2], LoadAkkudoktor)
+    assert isinstance(prediction.providers[3], LoadImport)
+    assert isinstance(prediction.providers[4], PVForecastAkkudoktor)
+    assert isinstance(prediction.providers[5], PVForecastImport)
+    assert isinstance(prediction.providers[6], WeatherBrightSky)
+    assert isinstance(prediction.providers[7], WeatherClearOutside)
+    assert isinstance(prediction.providers[8], WeatherImport)
+
+
+def test_update_calls_providers(sample_settings, prediction):
+    """Test that the update method calls the update method for each provider in sequence."""
+    # Mark the `update_datetime` method for each provider
+    old_datetime = to_datetime("1970-01-01 00:00:00")
+    for provider in prediction.providers:
+        provider.update_datetime = old_datetime
+
+    ems_eos = get_ems()
+    ems_eos.start_datetime = to_datetime()
+    prediction.update_data()
+
+    # Verify each provider's `update` method was called
+    for provider in prediction.providers:
+        if provider.enabled():
+            assert compare_datetimes(provider.update_datetime, old_datetime).gt
+
+
+def test_provider_by_id(prediction, forecast_providers):
+    """Test that provider_by_id method returns the correct provider."""
+    for provider in forecast_providers:
+        assert prediction.provider_by_id(provider.provider_id()) == provider
+
+
+def test_prediction_repr(prediction):
+    """Test that the Prediction instance's representation is correct."""
+    result = repr(prediction)
+    assert "Prediction([" in result
+    assert "ElecPriceAkkudoktor" in result
+    assert "ElecPriceImport" in result
+    assert "LoadAkkudoktor" in result
+    assert "LoadImport" in result
+    assert "PVForecastAkkudoktor" in result
+    assert "PVForecastImport" in result
+    assert "WeatherBrightSky" in result
+    assert "WeatherClearOutside" in result
+    assert "WeatherImport" in result
+
+
+def test_empty_providers(prediction, forecast_providers):
+    """Test behavior when Prediction does not have providers."""
+    # Clear all prediction providers from prediction
+    providers_bkup = prediction.providers.copy()
+    prediction.providers.clear()
+    assert prediction.providers == []
+    prediction.update_data()  # Should not raise an error even with no providers
+
+    # Cleanup after Test
+    prediction.providers = providers_bkup
diff --git a/tests/test_predictionabc.py b/tests/test_predictionabc.py
new file mode 100644
index 0000000..e9c939a
--- /dev/null
+++ b/tests/test_predictionabc.py
@@ -0,0 +1,437 @@
+import os
+from datetime import datetime
+from typing import Any, ClassVar, List, Optional, Union
+
+import pandas as pd
+import pendulum
+import pytest
+from pydantic import Field
+
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.prediction import PredictionCommonSettings
+from akkudoktoreos.prediction.predictionabc import (
+    PredictionBase,
+    PredictionContainer,
+    PredictionProvider,
+    PredictionRecord,
+    PredictionSequence,
+)
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime, to_duration
+
+# Derived classes for testing
+# ---------------------------
+
+
+class DerivedConfig(PredictionCommonSettings):
+    env_var: Optional[int] = Field(default=None, description="Test config by environment var")
+    instance_field: Optional[str] = Field(default=None, description="Test config by instance field")
+    class_constant: Optional[int] = Field(default=None, description="Test config by class constant")
+
+
+class DerivedBase(PredictionBase):
+    instance_field: Optional[str] = Field(default=None, description="Field Value")
+    class_constant: ClassVar[int] = 30
+
+
+class DerivedRecord(PredictionRecord):
+    prediction_value: Optional[float] = Field(default=None, description="Prediction Value")
+
+
+class DerivedSequence(PredictionSequence):
+    # overload
+    records: List[DerivedRecord] = Field(
+        default_factory=list, description="List of DerivedRecord records"
+    )
+
+    @classmethod
+    def record_class(cls) -> Any:
+        return DerivedRecord
+
+
+class DerivedPredictionProvider(PredictionProvider):
+    """A concrete subclass of PredictionProvider for testing purposes."""
+
+    # overload
+    records: List[DerivedRecord] = Field(
+        default_factory=list, description="List of DerivedRecord records"
+    )
+    provider_enabled: ClassVar[bool] = False
+    provider_updated: ClassVar[bool] = False
+
+    @classmethod
+    def record_class(cls) -> Any:
+        return DerivedRecord
+
+    # Implement abstract methods for test purposes
+    def provider_id(self) -> str:
+        return "DerivedPredictionProvider"
+
+    def enabled(self) -> bool:
+        return self.provider_enabled
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        # Simulate update logic
+        DerivedPredictionProvider.provider_updated = True
+
+
+class DerivedPredictionContainer(PredictionContainer):
+    providers: List[Union[DerivedPredictionProvider, PredictionProvider]] = Field(
+        default_factory=list, description="List of prediction providers"
+    )
+
+
+# Tests
+# ----------
+
+
+class TestPredictionBase:
+    @pytest.fixture
+    def base(self, reset_config, monkeypatch):
+        # Provide default values for configuration
+        monkeypatch.setenv("latitude", "50.0")
+        monkeypatch.setenv("longitude", "10.0")
+        derived = DerivedBase()
+        derived.config.update()
+        return derived
+
+    def test_config_value_from_env_variable(self, base, monkeypatch):
+        # From Prediction Config
+        monkeypatch.setenv("latitude", "2.5")
+        base.config.update()
+        assert base.config.latitude == 2.5
+
+    def test_config_value_from_field_default(self, base, monkeypatch):
+        assert base.config.model_fields["prediction_hours"].default == 48
+        assert base.config.prediction_hours == 48
+        monkeypatch.setenv("prediction_hours", "128")
+        base.config.update()
+        assert base.config.prediction_hours == 128
+        monkeypatch.delenv("prediction_hours")
+        base.config.update()
+        assert base.config.prediction_hours == 48
+
+    def test_get_config_value_key_error(self, base):
+        with pytest.raises(AttributeError):
+            base.config.non_existent_key
+
+
+# TestPredictionRecord fully covered by TestDataRecord
+# ----------------------------------------------------
+
+
+# TestPredictionSequence fully covered by TestDataSequence
+# --------------------------------------------------------
+
+
+# TestPredictionStartEndKeepMixin fully covered by TestPredictionContainer
+# --------------------------------------------------------
+
+
+class TestPredictionProvider:
+    # Fixtures and helper functions
+    @pytest.fixture
+    def provider(self):
+        """Fixture to provide an instance of TestPredictionProvider for testing."""
+        DerivedPredictionProvider.provider_enabled = True
+        DerivedPredictionProvider.provider_updated = False
+        return DerivedPredictionProvider()
+
+    @pytest.fixture
+    def sample_start_datetime(self):
+        """Fixture for a sample start datetime."""
+        return to_datetime(datetime(2024, 11, 1, 12, 0))
+
+    def create_test_record(self, date, value):
+        """Helper function to create a test PredictionRecord."""
+        return DerivedRecord(date_time=date, prediction_value=value)
+
+    # Tests
+
+    def test_singleton_behavior(self, provider):
+        """Test that PredictionProvider enforces singleton behavior."""
+        instance1 = provider
+        instance2 = DerivedPredictionProvider()
+        assert (
+            instance1 is instance2
+        ), "Singleton pattern is not enforced; instances are not the same."
+
+    def test_update_computed_fields(self, provider, sample_start_datetime):
+        """Test that computed fields `end_datetime` and `keep_datetime` are correctly calculated."""
+        ems_eos = get_ems()
+        ems_eos.start_datetime = sample_start_datetime
+        provider.config.prediction_hours = 24  # 24 hours into the future
+        provider.config.prediction_historic_hours = 48  # 48 hours into the past
+
+        expected_end_datetime = sample_start_datetime + to_duration(
+            provider.config.prediction_hours * 3600
+        )
+        expected_keep_datetime = sample_start_datetime - to_duration(
+            provider.config.prediction_historic_hours * 3600
+        )
+
+        assert (
+            provider.end_datetime == expected_end_datetime
+        ), "End datetime is not calculated correctly."
+        assert (
+            provider.keep_datetime == expected_keep_datetime
+        ), "Keep datetime is not calculated correctly."
+
+    def test_update_method_with_defaults(self, provider, sample_start_datetime, monkeypatch):
+        """Test the `update` method with default parameters."""
+        # EOS config supersedes
+        config_eos = get_config()
+        ems_eos = get_ems()
+        # The following values are currently not set in EOS config, we can override
+        monkeypatch.setenv("prediction_historic_hours", "2")
+        assert os.getenv("prediction_historic_hours") == "2"
+        monkeypatch.setenv("latitude", "37.7749")
+        assert os.getenv("latitude") == "37.7749"
+        monkeypatch.setenv("longitude", "-122.4194")
+        assert os.getenv("longitude") == "-122.4194"
+
+        ems_eos.start_datetime = sample_start_datetime
+        provider.update_data()
+
+        assert provider.config.prediction_hours == config_eos.prediction_hours
+        assert provider.config.prediction_historic_hours == 2
+        assert provider.config.latitude == 37.7749
+        assert provider.config.longitude == -122.4194
+        assert provider.start_datetime == sample_start_datetime
+        assert provider.end_datetime == sample_start_datetime + to_duration(
+            f"{provider.config.prediction_hours} hours"
+        )
+        assert provider.keep_datetime == sample_start_datetime - to_duration("2 hours")
+
+    def test_update_method_force_enable(self, provider, monkeypatch):
+        """Test that `update` executes when `force_enable` is True, even if `enabled` is False."""
+        # Preset values that are needed by update
+        monkeypatch.setenv("latitude", "37.7749")
+        monkeypatch.setenv("longitude", "-122.4194")
+
+        # Override enabled to return False for this test
+        DerivedPredictionProvider.provider_enabled = False
+        DerivedPredictionProvider.provider_updated = False
+        provider.update_data(force_enable=True)
+        assert provider.enabled() is False, "Provider should be disabled, but enabled() is True."
+        assert (
+            DerivedPredictionProvider.provider_updated is True
+        ), "Provider should have been executed, but was not."
+
+    def test_delete_by_datetime(self, provider, sample_start_datetime):
+        """Test `delete_by_datetime` method for removing records by datetime range."""
+        # Add records to the provider for deletion testing
+        provider.records = [
+            self.create_test_record(sample_start_datetime - to_duration("3 hours"), 1),
+            self.create_test_record(sample_start_datetime - to_duration("1 hour"), 2),
+            self.create_test_record(sample_start_datetime + to_duration("1 hour"), 3),
+        ]
+
+        provider.delete_by_datetime(
+            start_datetime=sample_start_datetime - to_duration("2 hours"),
+            end_datetime=sample_start_datetime + to_duration("2 hours"),
+        )
+        assert (
+            len(provider.records) == 1
+        ), "Only one record should remain after deletion by datetime."
+        assert provider.records[0].date_time == sample_start_datetime - to_duration(
+            "3 hours"
+        ), "Unexpected record remains."
+
+
+class TestPredictionContainer:
+    # Fixture and helpers
+    @pytest.fixture
+    def container(self):
+        container = DerivedPredictionContainer()
+        return container
+
+    @pytest.fixture
+    def container_with_providers(self):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 1)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 2)
+        record3 = self.create_test_record(datetime(2023, 11, 7), 3)
+        provider = DerivedPredictionProvider()
+        provider.clear()
+        assert len(provider) == 0
+        provider.append(record1)
+        provider.append(record2)
+        provider.append(record3)
+        assert len(provider) == 3
+        container = DerivedPredictionContainer()
+        container.providers.clear()
+        assert len(container.providers) == 0
+        container.providers.append(provider)
+        assert len(container.providers) == 1
+        return container
+
+    def create_test_record(self, date, value):
+        """Helper function to create a test PredictionRecord."""
+        return DerivedRecord(date_time=date, prediction_value=value)
+
+    # Tests
+    @pytest.mark.parametrize(
+        "start, hours, end",
+        [
+            ("2024-11-10 00:00:00", 24, "2024-11-11 00:00:00"),  # No DST in Germany
+            ("2024-08-10 00:00:00", 24, "2024-08-11 00:00:00"),  # DST in Germany
+            ("2024-03-31 00:00:00", 24, "2024-04-01 00:00:00"),  # DST change (23 hours/ day)
+            ("2024-10-27 00:00:00", 24, "2024-10-28 00:00:00"),  # DST change (25 hours/ day)
+            ("2024-11-10 00:00:00", 48, "2024-11-12 00:00:00"),  # No DST in Germany
+            ("2024-08-10 00:00:00", 48, "2024-08-12 00:00:00"),  # DST in Germany
+            ("2024-03-31 00:00:00", 48, "2024-04-02 00:00:00"),  # DST change (47 hours/ day)
+            ("2024-10-27 00:00:00", 48, "2024-10-29 00:00:00"),  # DST change (49 hours/ day)
+        ],
+    )
+    def test_end_datetime(self, container, start, hours, end):
+        """Test end datetime calculation from start datetime."""
+        ems_eos = get_ems()
+        ems_eos.start_datetime = to_datetime(start, in_timezone="Europe/Berlin")
+        settings = {
+            "prediction_hours": hours,
+        }
+        container.config.merge_settings_from_dict(settings)
+        expected = to_datetime(end, in_timezone="Europe/Berlin")
+        assert compare_datetimes(container.end_datetime, expected).equal
+
+    @pytest.mark.parametrize(
+        "start, historic_hours, expected_keep",
+        [
+            # Standard case
+            (
+                pendulum.datetime(2024, 8, 10, 0, 0, tz="Europe/Berlin"),
+                24,
+                pendulum.datetime(2024, 8, 9, 0, 0, tz="Europe/Berlin"),
+            ),
+            # With DST, but should not affect historical data
+            (
+                pendulum.datetime(2024, 4, 1, 0, 0, tz="Europe/Berlin"),
+                24,
+                pendulum.datetime(2024, 3, 30, 23, 0, tz="Europe/Berlin"),
+            ),
+        ],
+    )
+    def test_keep_datetime(self, container, start, historic_hours, expected_keep):
+        """Test the `keep_datetime` property."""
+        ems_eos = get_ems()
+        ems_eos.start_datetime = to_datetime(start, in_timezone="Europe/Berlin")
+        settings = {
+            "prediction_historic_hours": historic_hours,
+        }
+        container.config.merge_settings_from_dict(settings)
+        expected = to_datetime(expected_keep, in_timezone="Europe/Berlin")
+        assert compare_datetimes(container.keep_datetime, expected).equal
+
+    @pytest.mark.parametrize(
+        "start, prediction_hours, expected_hours",
+        [
+            ("2024-11-10 00:00:00", 24, 24),  # No DST in Germany
+            ("2024-08-10 00:00:00", 24, 24),  # DST in Germany
+            ("2024-03-31 00:00:00", 24, 23),  # DST change in Germany (23 hours/ day)
+            ("2024-10-27 00:00:00", 24, 25),  # DST change in Germany (25 hours/ day)
+        ],
+    )
+    def test_total_hours(self, container, start, prediction_hours, expected_hours):
+        """Test the `total_hours` property."""
+        ems_eos = get_ems()
+        ems_eos.start_datetime = to_datetime(start, in_timezone="Europe/Berlin")
+        settings = {
+            "prediction_hours": prediction_hours,
+        }
+        container.config.merge_settings_from_dict(settings)
+        assert container.total_hours == expected_hours
+
+    @pytest.mark.parametrize(
+        "start, historic_hours, expected_hours",
+        [
+            ("2024-11-10 00:00:00", 24, 24),  # No DST in Germany
+            ("2024-08-10 00:00:00", 24, 24),  # DST in Germany
+            ("2024-04-01 00:00:00", 24, 24),  # DST change on 2024-03-31 in Germany (23 hours/ day)
+            ("2024-10-28 00:00:00", 24, 24),  # DST change on 2024-10-27 in Germany (25 hours/ day)
+        ],
+    )
+    def test_keep_hours(self, container, start, historic_hours, expected_hours):
+        """Test the `keep_hours` property."""
+        ems_eos = get_ems()
+        ems_eos.start_datetime = to_datetime(start, in_timezone="Europe/Berlin")
+        settings = {
+            "prediction_historic_hours": historic_hours,
+        }
+        container.config.merge_settings_from_dict(settings)
+        assert container.keep_hours == expected_hours
+
+    def test_append_provider(self, container):
+        assert len(container.providers) == 0
+        container.providers.append(DerivedPredictionProvider())
+        assert len(container.providers) == 1
+        assert isinstance(container.providers[0], DerivedPredictionProvider)
+
+    @pytest.mark.skip(reason="type check not implemented")
+    def test_append_provider_invalid_type(self, container):
+        with pytest.raises(ValueError, match="must be an instance of PredictionProvider"):
+            container.providers.append("not_a_provider")
+
+    def test_getitem_existing_key(self, container_with_providers):
+        assert len(container_with_providers.providers) == 1
+        # check all keys are available (don't care for position)
+        for key in ["prediction_value", "date_time"]:
+            assert key in list(container_with_providers.keys())
+        series = container_with_providers["prediction_value"]
+        assert isinstance(series, pd.Series)
+        assert series.name == "prediction_value"
+        assert series.tolist() == [1.0, 2.0, 3.0]
+
+    def test_getitem_non_existing_key(self, container_with_providers):
+        with pytest.raises(KeyError, match="No data found for key 'non_existent_key'"):
+            container_with_providers["non_existent_key"]
+
+    def test_setitem_existing_key(self, container_with_providers):
+        new_series = container_with_providers["prediction_value"]
+        new_series[:] = [4, 5, 6]
+        container_with_providers["prediction_value"] = new_series
+        series = container_with_providers["prediction_value"]
+        assert series.name == "prediction_value"
+        assert series.tolist() == [4, 5, 6]
+
+    def test_setitem_invalid_value(self, container_with_providers):
+        with pytest.raises(ValueError, match="Value must be an instance of pd.Series"):
+            container_with_providers["test_key"] = "not_a_series"
+
+    def test_setitem_non_existing_key(self, container_with_providers):
+        new_series = pd.Series([4, 5, 6], name="non_existent_key")
+        with pytest.raises(KeyError, match="Key 'non_existent_key' not found"):
+            container_with_providers["non_existent_key"] = new_series
+
+    def test_delitem_existing_key(self, container_with_providers):
+        del container_with_providers["prediction_value"]
+        series = container_with_providers["prediction_value"]
+        assert series.name == "prediction_value"
+        assert series.tolist() == [None, None, None]
+
+    def test_delitem_non_existing_key(self, container_with_providers):
+        with pytest.raises(KeyError, match="Key 'non_existent_key' not found"):
+            del container_with_providers["non_existent_key"]
+
+    def test_len(self, container_with_providers):
+        assert len(container_with_providers) == 3
+
+    def test_repr(self, container_with_providers):
+        representation = repr(container_with_providers)
+        assert representation.startswith("DerivedPredictionContainer(")
+        assert "DerivedPredictionProvider" in representation
+
+    def test_to_json(self, container_with_providers):
+        json_str = container_with_providers.to_json()
+        container_other = DerivedPredictionContainer.from_json(json_str)
+        assert container_other == container_with_providers
+
+    def test_from_json(self, container_with_providers):
+        json_str = container_with_providers.to_json()
+        container = DerivedPredictionContainer.from_json(json_str)
+        assert isinstance(container, DerivedPredictionContainer)
+        assert len(container.providers) == 1
+        assert container.providers[0] == container_with_providers.providers[0]
+
+    def test_provider_by_id(self, container_with_providers):
+        provider = container_with_providers.provider_by_id("DerivedPredictionProvider")
+        assert isinstance(provider, DerivedPredictionProvider)

From b836458427c7954ea214c2e56f554de6efeae44e Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Mon, 11 Nov 2024 17:13:26 +0100
Subject: [PATCH 08/19] Add PV forecast to prediction submodule.

The PV forecast modules are adapted from the class_pvforecast module and
replace it.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/prediction/pv_forecast.py   | 682 ------------------
 src/akkudoktoreos/prediction/pvforecast.py    | 397 ++++++++++
 src/akkudoktoreos/prediction/pvforecastabc.py |  63 ++
 .../prediction/pvforecastakkudoktor.py        | 396 ++++++++++
 .../prediction/pvforecastimport.py            |  69 ++
 tests/test_pv_forecast.py                     | 286 --------
 tests/test_pvforecastakkudoktor.py            | 307 ++++++++
 tests/test_pvforecastimport.py                | 110 +++
 tests/testdata/import_input_1.json            |  30 +
 9 files changed, 1372 insertions(+), 968 deletions(-)
 delete mode 100644 src/akkudoktoreos/prediction/pv_forecast.py
 create mode 100644 src/akkudoktoreos/prediction/pvforecast.py
 create mode 100644 src/akkudoktoreos/prediction/pvforecastabc.py
 create mode 100644 src/akkudoktoreos/prediction/pvforecastakkudoktor.py
 create mode 100644 src/akkudoktoreos/prediction/pvforecastimport.py
 delete mode 100644 tests/test_pv_forecast.py
 create mode 100644 tests/test_pvforecastakkudoktor.py
 create mode 100644 tests/test_pvforecastimport.py
 create mode 100644 tests/testdata/import_input_1.json

diff --git a/src/akkudoktoreos/prediction/pv_forecast.py b/src/akkudoktoreos/prediction/pv_forecast.py
deleted file mode 100644
index 749d686..0000000
--- a/src/akkudoktoreos/prediction/pv_forecast.py
+++ /dev/null
@@ -1,682 +0,0 @@
-"""PV Power Forecasting Module.
-
-This module contains classes and methods to retrieve, process, and display photovoltaic (PV)
-power forecast data, including temperature, windspeed, DC power, and AC power forecasts.
-The module supports caching of forecast data to reduce redundant network requests and includes
-functions to update AC power measurements and retrieve forecasts within a specified date range.
-
-Classes
-    ForecastData: Represents a single forecast entry, including DC power, AC power,
-                  temperature, and windspeed.
-    PVForecast:   Retrieves, processes, and stores PV power forecast data, either from
-                  a file or URL, with optional caching. It also provides methods to query
-                  and update the forecast data, convert it to a DataFrame, and output key
-                  metrics like AC power.
-
-Example:
-    # Initialize PVForecast class with an URL
-    forecast = PVForecast(
-        prediction_hours=24,
-        url="https://api.akkudoktor.net/forecast?lat=50.8588&lon=7.3747..."
-    )
-
-    # Update the AC power measurement for a specific date and time
-    forecast.update_ac_power_measurement(ac_power_measurement=1000, date_time=datetime.now())
-
-    # Print the forecast data with DC and AC power details
-    forecast.print_ac_power_and_measurement()
-
-    # Get the forecast data as a Pandas DataFrame
-    df = forecast.get_forecast_dataframe()
-    print(df)
-
-Attributes:
-    prediction_hours (int): Number of forecast hours. Defaults to 48.
-"""
-
-import json
-from datetime import date, datetime
-from pathlib import Path
-from typing import Any, List, Optional, Union
-
-import numpy as np
-import pandas as pd
-import requests
-from pydantic import BaseModel, ValidationError
-
-from akkudoktoreos.utils.cachefilestore import cache_in_file
-from akkudoktoreos.utils.datetimeutil import to_datetime
-from akkudoktoreos.utils.logutil import get_logger
-
-logger = get_logger(__name__, logging_level="DEBUG")
-
-
-class AkkudoktorForecastHorizon(BaseModel):
-    altitude: int
-    azimuthFrom: int
-    azimuthTo: int
-
-
-class AkkudoktorForecastMeta(BaseModel):
-    lat: float
-    lon: float
-    power: List[int]
-    azimuth: List[int]
-    tilt: List[int]
-    timezone: str
-    albedo: float
-    past_days: int
-    inverterEfficiency: float
-    powerInverter: List[int]
-    cellCoEff: float
-    range: bool
-    horizont: List[List[AkkudoktorForecastHorizon]]
-    horizontString: List[str]
-
-
-class AkkudoktorForecastValue(BaseModel):
-    datetime: str
-    dcPower: float
-    power: float
-    sunTilt: float
-    sunAzimuth: float
-    temperature: float
-    relativehumidity_2m: float
-    windspeed_10m: float
-
-
-class AkkudoktorForecast(BaseModel):
-    meta: AkkudoktorForecastMeta
-    values: List[List[AkkudoktorForecastValue]]
-
-
-def validate_pv_forecast_data(data: dict[str, Any]) -> Optional[str]:
-    """Validate PV forecast data."""
-    try:
-        AkkudoktorForecast.model_validate(data)
-        data_type = "Akkudoktor"
-    except ValidationError as e:
-        error_msg = ""
-        for error in e.errors():
-            field = " -> ".join(str(x) for x in error["loc"])
-            message = error["msg"]
-            error_type = error["type"]
-            error_msg += f"Field: {field}\nError: {message}\nType: {error_type}\n"
-        logger.debug(f"Validation did not succeed: {error_msg}")
-        return None
-
-    return data_type
-
-
-class ForecastResponse(BaseModel):
-    temperature: list[float]
-    pvpower: list[float]
-
-
-class ForecastData:
-    """Stores forecast data for PV power and weather parameters.
-
-    Attributes:
-        date_time (datetime): The date and time of the forecast.
-        dc_power (float): The direct current (DC) power in watts.
-        ac_power (float): The alternating current (AC) power in watts.
-        windspeed_10m (float, optional): Wind speed at 10 meters altitude.
-        temperature (float, optional): Temperature in degrees Celsius.
-        ac_power_measurement (float, optional): Measured AC power.
-    """
-
-    def __init__(
-        self,
-        date_time: datetime,
-        dc_power: float,
-        ac_power: float,
-        windspeed_10m: Optional[float] = None,
-        temperature: Optional[float] = None,
-        ac_power_measurement: Optional[float] = None,
-    ):
-        """Initializes the ForecastData instance.
-
-        Args:
-            date_time (datetime): The date and time of the forecast.
-            dc_power (float): The DC power in watts.
-            ac_power (float): The AC power in watts.
-            windspeed_10m (float, optional): Wind speed at 10 meters altitude. Defaults to None.
-            temperature (float, optional): Temperature in degrees Celsius. Defaults to None.
-            ac_power_measurement (float, optional): Measured AC power. Defaults to None.
-        """
-        self.date_time = date_time
-        self.dc_power = dc_power
-        self.ac_power = ac_power
-        self.windspeed_10m = windspeed_10m
-        self.temperature = temperature
-        self.ac_power_measurement = ac_power_measurement
-
-    def get_date_time(self) -> datetime:
-        """Returns the forecast date and time.
-
-        Returns:
-            datetime: The date and time of the forecast.
-        """
-        return self.date_time
-
-    def get_dc_power(self) -> float:
-        """Returns the DC power.
-
-        Returns:
-            float: DC power in watts.
-        """
-        return self.dc_power
-
-    def get_ac_power_measurement(self) -> Optional[float]:
-        """Returns the measured AC power.
-
-        It returns the measured AC power if available; otherwise None.
-
-        Returns:
-            float: Measured AC power in watts or None
-        """
-        return self.ac_power_measurement
-
-    def get_ac_power(self) -> float:
-        """Returns the AC power.
-
-        If a measured value is available, it returns the measured AC power;
-        otherwise, it returns the forecasted AC power.
-
-        Returns:
-            float: AC power in watts.
-        """
-        if self.ac_power_measurement is not None:
-            return self.ac_power_measurement
-        else:
-            return self.ac_power
-
-    def get_windspeed_10m(self) -> Optional[float]:
-        """Returns the wind speed at 10 meters altitude.
-
-        Returns:
-            float: Wind speed in meters per second.
-        """
-        return self.windspeed_10m
-
-    def get_temperature(self) -> Optional[float]:
-        """Returns the temperature.
-
-        Returns:
-            float: Temperature in degrees Celsius.
-        """
-        return self.temperature
-
-
-class PVForecast:
-    """Manages PV (photovoltaic) power forecasts and weather data.
-
-    Forecast data can be loaded from different sources (in-memory data, file, or URL).
-
-    Attributes:
-        meta (dict): Metadata related to the forecast (e.g., source, location).
-        forecast_data (list): A list of forecast data points of `ForecastData` objects.
-        prediction_hours (int): The number of hours into the future the forecast covers.
-        current_measurement (Optional[float]): The current AC power measurement in watts (or None if unavailable).
-        data (Optional[dict]): JSON data containing the forecast information (if provided).
-        filepath (Optional[str]): Filepath to the forecast data file (if provided).
-        url (Optional[str]): URL to retrieve forecast data from an API (if provided).
-        _forecast_start (Optional[date]): Start datetime for the forecast period.
-        tz_name (Optional[str]): The time zone name of the forecast data, if applicable.
-    """
-
-    def __init__(
-        self,
-        data: Optional[dict[str, Any]] = None,
-        filepath: Optional[str | Path] = None,
-        url: Optional[str] = None,
-        forecast_start: Union[datetime, date, str, int, float, None] = None,
-        prediction_hours: Optional[int] = None,
-    ):
-        """Initializes a `PVForecast` instance.
-
-        Forecast data can be loaded from in-memory `data`, a file specified by `filepath`, or
-        fetched from a remote `url`. If none are provided, an empty forecast will be initialized.
-        The `forecast_start` and `prediction_hours` parameters can be specified to control the
-        forecasting time period.
-
-        Use `process_data()` to fill an empty forecast later on.
-
-        Args:
-            data (Optional[dict]): In-memory JSON data containing forecast information. Defaults to None.
-            filepath (Optional[str]): Path to a local file containing forecast data in JSON format. Defaults to None.
-            url (Optional[str]): URL to an API providing forecast data. Defaults to None.
-            forecast_start (Union[datetime, date, str, int, float]): The start datetime for the forecast period.
-                Can be a `datetime`, `date`, `str` (formatted date), `int` (timestamp), `float`, or None. Defaults to None.
-            prediction_hours (Optional[int]): The number of hours to forecast into the future. Defaults to 48 hours.
-
-        Example:
-            forecast = PVForecast(data=my_forecast_data, forecast_start="2024-10-13", prediction_hours=72)
-        """
-        self.meta: dict[str, Any] = {}
-        self.forecast_data: list[ForecastData] = []
-        self.current_measurement: Optional[float] = None
-        self.data = data
-        self.filepath = filepath
-        self.url = url
-        self._forecast_start: Optional[datetime] = None
-        if forecast_start:
-            self._forecast_start = to_datetime(forecast_start, to_naiv=True, to_maxtime=False)
-        self.prediction_hours = prediction_hours
-        self._tz_name = None
-
-        if self.data or self.filepath or self.url:
-            self.process_data(
-                data=self.data,
-                filepath=self.filepath,
-                url=self.url,
-                forecast_start=self._forecast_start,
-                prediction_hours=self.prediction_hours,
-            )
-
-    def update_ac_power_measurement(
-        self,
-        ac_power_measurement: float,
-        date_time: Union[datetime, date, str, int, float, None] = None,
-    ) -> bool:
-        """Updates the AC power measurement for a specific time.
-
-        Args:
-            date_time (datetime): The date and time of the measurement.
-            ac_power_measurement (float): Measured AC power.
-
-        Returns:
-            bool: True if a matching timestamp was found, False otherwise.
-        """
-        found = False
-        input_date_hour = to_datetime(
-            date_time, to_timezone=self._tz_name, to_naiv=True, to_maxtime=False
-        ).replace(minute=0, second=0, microsecond=0)
-
-        for forecast in self.forecast_data:
-            forecast_date_hour = to_datetime(forecast.date_time, to_naiv=True).replace(
-                minute=0, second=0, microsecond=0
-            )
-            if forecast_date_hour == input_date_hour:
-                forecast.ac_power_measurement = ac_power_measurement
-                found = True
-                logger.debug(
-                    f"AC Power measurement updated at date {input_date_hour}: {ac_power_measurement}"
-                )
-                break
-        return found
-
-    def process_data(
-        self,
-        data: Optional[dict[str, Any]] = None,
-        filepath: Optional[str | Path] = None,
-        url: Optional[str] = None,
-        forecast_start: Union[datetime, date, str, int, float, None] = None,
-        prediction_hours: Optional[int] = None,
-    ) -> None:
-        """Processes the forecast data from the provided source (in-memory `data`, `filepath`, or `url`).
-
-        If `forecast_start` and `prediction_hours` are provided, they define the forecast period.
-
-        Args:
-            data (Optional[dict]): JSON data containing forecast values. Defaults to None.
-            filepath (Optional[str]): Path to a file with forecast data. Defaults to None.
-            url (Optional[str]): API URL to retrieve forecast data from. Defaults to None.
-            forecast_start (Union[datetime, date, str, int, float, None]): Start datetime of the forecast
-                period. Defaults to None. If given before it is cached.
-            prediction_hours (Optional[int]): The number of hours to forecast into the future.
-                Defaults to None. If given before it is cached.
-
-        Returns:
-            None
-
-        Raises:
-            FileNotFoundError: If the specified `filepath` does not exist.
-            ValueError: If no valid data source or data is provided.
-
-        Example:
-            forecast = PVForecast(
-                url="https://api.akkudoktor.net/forecast?lat=50.8588&lon=7.3747&"
-                "power=5000&azimuth=-10&tilt=7&powerInvertor=10000&horizont=20,27,22,20&"
-                "power=4800&azimuth=-90&tilt=7&powerInvertor=10000&horizont=30,30,30,50&"
-                "power=1400&azimuth=-40&tilt=60&powerInvertor=2000&horizont=60,30,0,30&"
-                "power=1600&azimuth=5&tilt=45&powerInvertor=1400&horizont=45,25,30,60&"
-                "past_days=5&cellCoEff=-0.36&inverterEfficiency=0.8&albedo=0.25&"
-                "timezone=Europe%2FBerlin&hourly=relativehumidity_2m%2Cwindspeed_10m",
-                prediction_hours = 24,
-            )
-        """
-        # Get input forecast data
-        if data:
-            pass
-        elif filepath:
-            data = self.load_data_from_file(filepath)
-        elif url:
-            data = self.load_data_from_url_with_caching(url)
-        elif self.data or self.filepath or self.url:
-            # Re-process according to previous arguments
-            if self.data:
-                data = self.data
-            elif self.filepath:
-                data = self.load_data_from_file(self.filepath)
-            elif self.url:
-                data = self.load_data_from_url_with_caching(self.url)
-            else:
-                raise NotImplementedError(
-                    "Re-processing for None input is not implemented!"
-                )  # Invalid path
-        else:
-            raise ValueError("No prediction input data available.")
-        assert data is not None  # make mypy happy
-        # Validate input data to be of a known format
-        data_format = validate_pv_forecast_data(data)
-        if data_format != "Akkudoktor":
-            raise ValueError(f"Prediction input data are of unknown format: '{data_format}'.")
-
-        # Assure we have a forecast start datetime
-        if forecast_start is None:
-            forecast_start = self._forecast_start
-            if forecast_start is None:
-                forecast_start = datetime(1970, 1, 1)
-
-        # Assure we have prediction hours set
-        if prediction_hours is None:
-            prediction_hours = self.prediction_hours
-            if prediction_hours is None:
-                prediction_hours = 48
-        self.prediction_hours = prediction_hours
-
-        if data_format == "Akkudoktor":
-            # --------------------------------------------
-            # From here Akkudoktor PV forecast data format
-            # ---------------------------------------------
-            self.meta = data.get("meta", {})
-            all_values = data.get("values")
-
-            # timezone of the PV system
-            self._tz_name = self.meta.get("timezone", None)
-            if not self._tz_name:
-                raise NotImplementedError(
-                    "Processing without PV system timezone info ist not implemented!"
-                )
-
-            # Assumption that all lists are the same length and are ordered chronologically
-            # in ascending order and have the same timestamps.
-            values_len = len(all_values[0])
-            if values_len < self.prediction_hours:
-                # Expect one value set per prediction hour
-                raise ValueError(
-                    f"The forecast must cover at least {self.prediction_hours} hours, "
-                    f"but only {values_len} data sets are given in forecast data."
-                )
-
-            # Convert forecast_start to timezone of PV system and make it a naiv datetime
-            self._forecast_start = to_datetime(
-                forecast_start, to_timezone=self._tz_name, to_naiv=True
-            )
-            logger.debug(f"Forecast start set to {self._forecast_start}")
-
-            for i in range(values_len):
-                # Zeige die ursprünglichen und berechneten Zeitstempel an
-                original_datetime = all_values[0][i].get("datetime")
-                # print(original_datetime," ",sum_dc_power," ",all_values[0][i]['dcPower'])
-                dt = to_datetime(original_datetime, to_timezone=self._tz_name, to_naiv=True)
-                # iso_datetime = parser.parse(original_datetime).isoformat()  # Konvertiere zu ISO-Format
-                # print()
-                # Optional: 2 Stunden abziehen, um die Zeitanpassung zu testen
-                # adjusted_datetime = parser.parse(original_datetime) - timedelta(hours=2)
-                # print(f"Angepasste Zeitstempel: {adjusted_datetime.isoformat()}")
-
-                if dt < self._forecast_start:
-                    # forecast data are too old
-                    continue
-
-                sum_dc_power = sum(values[i]["dcPower"] for values in all_values)
-                sum_ac_power = sum(values[i]["power"] for values in all_values)
-
-                forecast = ForecastData(
-                    date_time=dt,  # Verwende angepassten Zeitstempel
-                    dc_power=sum_dc_power,
-                    ac_power=sum_ac_power,
-                    windspeed_10m=all_values[0][i].get("windspeed_10m"),
-                    temperature=all_values[0][i].get("temperature"),
-                )
-                self.forecast_data.append(forecast)
-
-        if len(self.forecast_data) < self.prediction_hours:
-            raise ValueError(
-                f"The forecast must cover at least {self.prediction_hours} hours, "
-                f"but only {len(self.forecast_data)} hours starting from {forecast_start} "
-                f"were predicted."
-            )
-
-        # Adapt forecast start to actual value
-        self._forecast_start = self.forecast_data[0].get_date_time()
-        logger.debug(f"Forecast start adapted to {self._forecast_start}")
-
-    def load_data_from_file(self, filepath: str | Path) -> dict[str, Any]:
-        """Loads forecast data from a file.
-
-        Args:
-            filepath (str): Path to the file containing the forecast data.
-
-        Returns:
-            data (dict): JSON data containing forecast values.
-        """
-        with open(filepath, "r") as file:
-            data = json.load(file)
-        return data
-
-    def load_data_from_url(self, url: str) -> dict[str, Any]:
-        """Loads forecast data from a URL.
-
-        Example:
-            https://api.akkudoktor.net/forecast?lat=50.8588&lon=7.3747&power=5000&azimuth=-10&tilt=7&powerInvertor=10000&horizont=20,27,22,20&power=4800&azimuth=-90&tilt=7&powerInvertor=10000&horizont=30,30,30,50&power=1400&azimuth=-40&tilt=60&powerInvertor=2000&horizont=60,30,0,30&power=1600&azimuth=5&tilt=45&powerInvertor=1400&horizont=45,25,30,60&past_days=5&cellCoEff=-0.36&inverterEfficiency=0.8&albedo=0.25&timezone=Europe%2FBerlin&hourly=relativehumidity_2m%2Cwindspeed_10m
-
-        Args:
-            url (str): URL of the API providing forecast data.
-
-        Returns:
-            data (dict): JSON data containing forecast values.
-        """
-        response = requests.get(url)
-        if response.status_code == 200:
-            data = response.json()
-        else:
-            data = f"Failed to load data from `{url}`. Status Code: {response.status_code}"
-            logger.error(data)
-        return data
-
-    @cache_in_file()  # use binary mode by default as we have python objects not text
-    def load_data_from_url_with_caching(self, url: str) -> dict[str, Any]:
-        """Loads data from a URL or from the cache if available.
-
-        Args:
-            url (str): URL of the API providing forecast data.
-
-        Returns:
-            data (dict): JSON data containing forecast values.
-        """
-        response = requests.get(url)
-        if response.status_code == 200:
-            data = response.json()
-            logger.debug(f"Data fetched from URL `{url} and cached.")
-        else:
-            data = f"Failed to load data from `{url}`. Status Code: {response.status_code}"
-            logger.error(data)
-        return data
-
-    def get_forecast_data(self) -> list[ForecastData]:
-        """Returns the forecast data.
-
-        Returns:
-            list: List of ForecastData objects.
-        """
-        return self.forecast_data
-
-    def get_temperature_forecast_for_date(
-        self, input_date: Union[datetime, date, str, int, float, None]
-    ) -> np.ndarray:
-        """Returns the temperature forecast for a specific date.
-
-        Args:
-            input_date (str): Date
-
-        Returns:
-            np.array: Array of temperature forecasts.
-        """
-        if not self._tz_name:
-            raise NotImplementedError(
-                "Processing without PV system timezone info ist not implemented!"
-            )
-        input_date = to_datetime(input_date, to_timezone=self._tz_name, to_naiv=True).date()
-        daily_forecast_obj = [
-            data for data in self.forecast_data if data.get_date_time().date() == input_date
-        ]
-        daily_forecast = []
-        for d in daily_forecast_obj:
-            daily_forecast.append(d.get_temperature())
-
-        return np.array(daily_forecast)
-
-    def get_pv_forecast_for_date_range(
-        self,
-        start_date: Union[datetime, date, str, int, float, None],
-        end_date: Union[datetime, date, str, int, float, None],
-    ) -> np.ndarray:
-        """Returns the PV forecast for a date range.
-
-        Args:
-            start_date_str (str): Start date in the format YYYY-MM-DD.
-            end_date_str (str): End date in the format YYYY-MM-DD.
-
-        Returns:
-            pd.DataFrame: DataFrame containing the forecast data.
-        """
-        if not self._tz_name:
-            raise NotImplementedError(
-                "Processing without PV system timezone info ist not implemented!"
-            )
-        start_date = to_datetime(start_date, to_timezone=self._tz_name, to_naiv=True).date()
-        end_date = to_datetime(end_date, to_timezone=self._tz_name, to_naiv=True).date()
-        date_range_forecast = []
-
-        for data in self.forecast_data:
-            data_date = data.get_date_time().date()
-            if start_date <= data_date <= end_date:
-                date_range_forecast.append(data)
-                # print(data.get_date_time(), " ", data.get_ac_power())
-
-        ac_power_forecast = np.array([data.get_ac_power() for data in date_range_forecast])
-
-        return np.array(ac_power_forecast)[: self.prediction_hours]
-
-    def get_temperature_for_date_range(
-        self,
-        start_date: Union[datetime, date, str, int, float, None],
-        end_date: Union[datetime, date, str, int, float, None],
-    ) -> np.ndarray:
-        """Returns the temperature forecast for a given date range.
-
-        Args:
-            start_date (datetime | date | str | int | float | None): Start date.
-            end_date (datetime | date | str | int | float | None): End date.
-
-        Returns:
-            np.array: Array containing temperature forecasts for each hour within the date range.
-        """
-        if not self._tz_name:
-            raise NotImplementedError(
-                "Processing without PV system timezone info ist not implemented!"
-            )
-        start_date = to_datetime(start_date, to_timezone=self._tz_name, to_naiv=True).date()
-        end_date = to_datetime(end_date, to_timezone=self._tz_name, to_naiv=True).date()
-        date_range_forecast = []
-
-        for data in self.forecast_data:
-            data_date = data.get_date_time().date()
-            if start_date <= data_date <= end_date:
-                date_range_forecast.append(data)
-
-        temperature_forecast = [data.get_temperature() for data in date_range_forecast]
-        return np.array(temperature_forecast)[: self.prediction_hours]
-
-    def get_forecast_dataframe(self) -> pd.DataFrame:
-        """Converts the forecast data into a Pandas DataFrame.
-
-        Returns:
-            pd.DataFrame: A DataFrame containing the forecast data with columns for date/time,
-                          DC power, AC power, windspeed, and temperature.
-        """
-        data = [
-            {
-                "date_time": f.get_date_time(),
-                "dc_power": f.get_dc_power(),
-                "ac_power": f.get_ac_power(),
-                "windspeed_10m": f.get_windspeed_10m(),
-                "temperature": f.get_temperature(),
-            }
-            for f in self.forecast_data
-        ]
-
-        # Erstelle ein DataFrame
-        df = pd.DataFrame(data)
-        return df
-
-    def get_forecast_start(self) -> Optional[datetime]:
-        """Return the start of the forecast data in local timezone.
-
-        Returns:
-            forecast_start (datetime | None): The start datetime or None if no data available.
-        """
-        if not self._forecast_start:
-            return None
-        return to_datetime(
-            self._forecast_start, to_timezone=self._tz_name, to_naiv=True, to_maxtime=False
-        )
-
-    def report_ac_power_and_measurement(self) -> str:
-        """Report DC/ AC power, and AC power measurement for each forecast hour.
-
-        For each forecast entry, the time, DC power, forecasted AC power, measured AC power
-        (if available), and the value returned by the `get_ac_power` method is provided.
-
-        Returns:
-            str: The report.
-        """
-        rep = ""
-        for forecast in self.forecast_data:
-            date_time = forecast.date_time
-            dc_pow = round(forecast.dc_power, 2) if forecast.dc_power else None
-            ac_pow = round(forecast.ac_power, 2) if forecast.ac_power else None
-            ac_pow_measurement = (
-                round(forecast.ac_power_measurement, 2) if forecast.ac_power_measurement else None
-            )
-            get_ac_pow = round(forecast.get_ac_power(), 2) if forecast.get_ac_power() else None
-            rep += (
-                f"Date&Time: {date_time}, DC: {dc_pow}, AC: {ac_pow}, "
-                f"AC measured: {ac_pow_measurement}, AC GET: {get_ac_pow}"
-                "\n"
-            )
-        return rep
-
-
-# Example of how to use the PVForecast class
-if __name__ == "__main__":
-    """Main execution block to demonstrate the use of the PVForecast class.
-
-    Fetches PV power forecast data from a given URL, updates the AC power measurement
-    for the current date/time, and prints the DC and AC power information.
-    """
-    forecast = PVForecast(
-        prediction_hours=24,
-        url="https://api.akkudoktor.net/forecast?lat=50.8588&lon=7.3747&"
-        "power=5000&azimuth=-10&tilt=7&powerInvertor=10000&horizont=20,27,22,20&"
-        "power=4800&azimuth=-90&tilt=7&powerInvertor=10000&horizont=30,30,30,50&"
-        "power=1400&azimuth=-40&tilt=60&powerInvertor=2000&horizont=60,30,0,30&"
-        "power=1600&azimuth=5&tilt=45&powerInvertor=1400&horizont=45,25,30,60&"
-        "past_days=5&cellCoEff=-0.36&inverterEfficiency=0.8&albedo=0.25&timezone=Europe%2FBerlin&"
-        "hourly=relativehumidity_2m%2Cwindspeed_10m",
-    )
-    forecast.update_ac_power_measurement(ac_power_measurement=1000, date_time=datetime.now())
-    print(forecast.report_ac_power_and_measurement())
diff --git a/src/akkudoktoreos/prediction/pvforecast.py b/src/akkudoktoreos/prediction/pvforecast.py
new file mode 100644
index 0000000..d986698
--- /dev/null
+++ b/src/akkudoktoreos/prediction/pvforecast.py
@@ -0,0 +1,397 @@
+"""PV forecast module for PV power predictions."""
+
+from typing import Any, List, Optional
+
+from pydantic import Field, computed_field
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class PVForecastCommonSettings(SettingsBaseModel):
+    # General plane parameters
+    #     https://pvlib-python.readthedocs.io/en/stable/_modules/pvlib/iotools/pvgis.html
+    # Inverter Parameters
+    #     https://pvlib-python.readthedocs.io/en/stable/_modules/pvlib/inverter.html
+
+    pvforecast_provider: Optional[str] = Field(
+        default=None, description="PVForecast provider id of provider to be used."
+    )
+    # pvforecast0_latitude: Optional[float] = Field(default=None, description="Latitude in decimal degrees, between -90 and 90, north is positive (ISO 19115) (°)")
+    # Plane 0
+    pvforecast0_surface_tilt: Optional[float] = Field(
+        default=0, description="Tilt angle from horizontal plane. Ignored for two-axis tracking."
+    )
+    pvforecast0_surface_azimuth: Optional[float] = Field(
+        default=180,
+        description="Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+    )
+    pvforecast0_userhorizon: Optional[List[float]] = Field(
+        default=None,
+        description="Elevation of horizon in degrees, at equally spaced azimuth clockwise from north.",
+    )
+    pvforecast0_peakpower: Optional[float] = Field(
+        default=None, description="Nominal power of PV system in kW."
+    )
+    pvforecast0_pvtechchoice: Optional[str] = Field(
+        default="crystSi", description="PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'."
+    )
+    pvforecast0_mountingplace: Optional[str] = Field(
+        default="free",
+        description="Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+    )
+    pvforecast0_loss: Optional[float] = Field(
+        default=None, description="Sum of PV system losses in percent"
+    )
+    pvforecast0_trackingtype: Optional[int] = Field(
+        default=0,
+        description="Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+    )
+    pvforecast0_optimal_surface_tilt: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+    )
+    pvforecast0_optimalangles: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+    )
+    pvforecast0_albedo: Optional[float] = Field(
+        default=None,
+        description="Proportion of the light hitting the ground that it reflects back.",
+    )
+    pvforecast0_module_model: Optional[str] = Field(
+        default=None, description="Model of the PV modules of this plane."
+    )
+    pvforecast0_inverter_model: Optional[str] = Field(
+        default=None, description="Model of the inverter of this plane."
+    )
+    pvforecast0_inverter_paco: Optional[int] = Field(
+        default=None, description="AC power rating of the inverter. [W]"
+    )
+    pvforecast0_modules_per_string: Optional[str] = Field(
+        default=None, description="Number of the PV modules of the strings of this plane."
+    )
+    pvforecast0_strings_per_inverter: Optional[str] = Field(
+        default=None, description="Number of the strings of the inverter of this plane."
+    )
+    # Plane 1
+    pvforecast1_surface_tilt: Optional[float] = Field(
+        default=0, description="Tilt angle from horizontal plane. Ignored for two-axis tracking."
+    )
+    pvforecast1_surface_azimuth: Optional[float] = Field(
+        default=180,
+        description="Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+    )
+    pvforecast1_userhorizon: Optional[List[float]] = Field(
+        default=None,
+        description="Elevation of horizon in degrees, at equally spaced azimuth clockwise from north.",
+    )
+    pvforecast1_peakpower: Optional[float] = Field(
+        default=None, description="Nominal power of PV system in kW."
+    )
+    pvforecast1_pvtechchoice: Optional[str] = Field(
+        default="crystSi", description="PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'."
+    )
+    pvforecast1_mountingplace: Optional[str] = Field(
+        default="free",
+        description="Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+    )
+    pvforecast1_loss: Optional[float] = Field(0, description="Sum of PV system losses in percent")
+    pvforecast1_trackingtype: Optional[int] = Field(
+        default=0,
+        description="Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+    )
+    pvforecast1_optimal_surface_tilt: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+    )
+    pvforecast1_optimalangles: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+    )
+    pvforecast1_albedo: Optional[float] = Field(
+        default=None,
+        description="Proportion of the light hitting the ground that it reflects back.",
+    )
+    pvforecast1_module_model: Optional[str] = Field(
+        default=None, description="Model of the PV modules of this plane."
+    )
+    pvforecast1_inverter_model: Optional[str] = Field(
+        default=None, description="Model of the inverter of this plane."
+    )
+    pvforecast1_inverter_paco: Optional[int] = Field(
+        default=None, description="AC power rating of the inverter. [W]"
+    )
+    pvforecast1_modules_per_string: Optional[str] = Field(
+        default=None, description="Number of the PV modules of the strings of this plane."
+    )
+    pvforecast1_strings_per_inverter: Optional[str] = Field(
+        default=None, description="Number of the strings of the inverter of this plane."
+    )
+    # Plane 2
+    pvforecast2_surface_tilt: Optional[float] = Field(
+        default=0, description="Tilt angle from horizontal plane. Ignored for two-axis tracking."
+    )
+    pvforecast2_surface_azimuth: Optional[float] = Field(
+        default=180,
+        description="Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+    )
+    pvforecast2_userhorizon: Optional[List[float]] = Field(
+        default=None,
+        description="Elevation of horizon in degrees, at equally spaced azimuth clockwise from north.",
+    )
+    pvforecast2_peakpower: Optional[float] = Field(
+        default=None, description="Nominal power of PV system in kW."
+    )
+    pvforecast2_pvtechchoice: Optional[str] = Field(
+        default="crystSi", description="PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'."
+    )
+    pvforecast2_mountingplace: Optional[str] = Field(
+        default="free",
+        description="Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+    )
+    pvforecast2_loss: Optional[float] = Field(0, description="Sum of PV system losses in percent")
+    pvforecast2_trackingtype: Optional[int] = Field(
+        default=0,
+        description="Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+    )
+    pvforecast2_optimal_surface_tilt: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+    )
+    pvforecast2_optimalangles: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+    )
+    pvforecast2_albedo: Optional[float] = Field(
+        default=None,
+        description="Proportion of the light hitting the ground that it reflects back.",
+    )
+    pvforecast2_module_model: Optional[str] = Field(
+        default=None, description="Model of the PV modules of this plane."
+    )
+    pvforecast2_inverter_model: Optional[str] = Field(
+        default=None, description="Model of the inverter of this plane."
+    )
+    pvforecast2_inverter_paco: Optional[int] = Field(
+        default=None, description="AC power rating of the inverter. [W]"
+    )
+    pvforecast2_modules_per_string: Optional[str] = Field(
+        default=None, description="Number of the PV modules of the strings of this plane."
+    )
+    pvforecast2_strings_per_inverter: Optional[str] = Field(
+        default=None, description="Number of the strings of the inverter of this plane."
+    )
+    # Plane 3
+    pvforecast3_surface_tilt: Optional[float] = Field(
+        default=0, description="Tilt angle from horizontal plane. Ignored for two-axis tracking."
+    )
+    pvforecast3_surface_azimuth: Optional[float] = Field(
+        default=180,
+        description="Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+    )
+    pvforecast3_userhorizon: Optional[List[float]] = Field(
+        default=None,
+        description="Elevation of horizon in degrees, at equally spaced azimuth clockwise from north.",
+    )
+    pvforecast3_peakpower: Optional[float] = Field(
+        default=None, description="Nominal power of PV system in kW."
+    )
+    pvforecast3_pvtechchoice: Optional[str] = Field(
+        default="crystSi", description="PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'."
+    )
+    pvforecast3_mountingplace: Optional[str] = Field(
+        default="free",
+        description="Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+    )
+    pvforecast3_loss: Optional[float] = Field(0, description="Sum of PV system losses in percent")
+    pvforecast3_trackingtype: Optional[int] = Field(
+        default=0,
+        description="Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+    )
+    pvforecast3_optimal_surface_tilt: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+    )
+    pvforecast3_optimalangles: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+    )
+    pvforecast3_albedo: Optional[float] = Field(
+        default=None,
+        description="Proportion of the light hitting the ground that it reflects back.",
+    )
+    pvforecast3_module_model: Optional[str] = Field(
+        default=None, description="Model of the PV modules of this plane."
+    )
+    pvforecast3_inverter_model: Optional[str] = Field(
+        default=None, description="Model of the inverter of this plane."
+    )
+    pvforecast3_inverter_paco: Optional[int] = Field(
+        default=None, description="AC power rating of the inverter. [W]"
+    )
+    pvforecast3_modules_per_string: Optional[str] = Field(
+        default=None, description="Number of the PV modules of the strings of this plane."
+    )
+    pvforecast3_strings_per_inverter: Optional[str] = Field(
+        default=None, description="Number of the strings of the inverter of this plane."
+    )
+    # Plane 4
+    pvforecast4_surface_tilt: Optional[float] = Field(
+        default=0, description="Tilt angle from horizontal plane. Ignored for two-axis tracking."
+    )
+    pvforecast4_surface_azimuth: Optional[float] = Field(
+        default=180,
+        description="Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+    )
+    pvforecast4_userhorizon: Optional[List[float]] = Field(
+        default=None,
+        description="Elevation of horizon in degrees, at equally spaced azimuth clockwise from north.",
+    )
+    pvforecast4_peakpower: Optional[float] = Field(
+        default=None, description="Nominal power of PV system in kW."
+    )
+    pvforecast4_pvtechchoice: Optional[str] = Field(
+        "crystSi", description="PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'."
+    )
+    pvforecast4_mountingplace: Optional[str] = Field(
+        default="free",
+        description="Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+    )
+    pvforecast4_loss: Optional[float] = Field(0, description="Sum of PV system losses in percent")
+    pvforecast4_trackingtype: Optional[int] = Field(
+        default=0,
+        description="Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+    )
+    pvforecast4_optimal_surface_tilt: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+    )
+    pvforecast4_optimalangles: Optional[bool] = Field(
+        default=False,
+        description="Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+    )
+    pvforecast4_albedo: Optional[float] = Field(
+        default=None,
+        description="Proportion of the light hitting the ground that it reflects back.",
+    )
+    pvforecast4_module_model: Optional[str] = Field(
+        default=None, description="Model of the PV modules of this plane."
+    )
+    pvforecast4_inverter_model: Optional[str] = Field(
+        default=None, description="Model of the inverter of this plane."
+    )
+    pvforecast4_inverter_paco: Optional[int] = Field(
+        default=None, description="AC power rating of the inverter. [W]"
+    )
+    pvforecast4_modules_per_string: Optional[str] = Field(
+        default=None, description="Number of the PV modules of the strings of this plane."
+    )
+    pvforecast4_strings_per_inverter: Optional[str] = Field(
+        default=None, description="Number of the strings of the inverter of this plane."
+    )
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def pvforecast_planes(self) -> List[str]:
+        """Compute a list of active planes."""
+        active_planes = []
+
+        # Loop through pvforecast0 to pvforecast4
+        for i in range(5):  # Assuming pvforecast0 to pvforecast4
+            peakpower_attr = f"pvforecast{i}_peakpower"
+            modules_attr = f"pvforecast{i}_modules_per_string"
+
+            # Check if either attribute is set and add to active planes
+            if getattr(self, peakpower_attr, None) or getattr(self, modules_attr, None):
+                active_planes.append(f"pvforecast{i}")
+
+        return active_planes
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def pvforecast_planes_peakpower(self) -> List[float]:
+        """Compute a list of the peak power per active planes."""
+        planes_peakpower = []
+
+        for plane in self.pvforecast_planes:
+            peakpower_attr = f"{plane}_peakpower"
+            peakpower = getattr(self, peakpower_attr, None)
+            if peakpower:
+                planes_peakpower.append(float(peakpower))
+                continue
+            # TODO calculate peak power from modules/strings
+            planes_peakpower.append(float(5000))
+
+        return planes_peakpower
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def pvforecast_planes_azimuth(self) -> List[float]:
+        """Compute a list of the azimuths per active planes."""
+        planes_azimuth = []
+
+        for plane in self.pvforecast_planes:
+            azimuth_attr = f"{plane}_azimuth"
+            azimuth = getattr(self, azimuth_attr, None)
+            if azimuth:
+                planes_azimuth.append(float(azimuth))
+                continue
+            # TODO Use default
+            planes_azimuth.append(float(180))
+
+        return planes_azimuth
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def pvforecast_planes_tilt(self) -> List[float]:
+        """Compute a list of the tilts per active planes."""
+        planes_tilt = []
+
+        for plane in self.pvforecast_planes:
+            tilt_attr = f"{plane}_tilt"
+            tilt = getattr(self, tilt_attr, None)
+            if tilt:
+                planes_tilt.append(float(tilt))
+                continue
+            # TODO Use default
+            planes_tilt.append(float(0))
+
+        return planes_tilt
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def pvforecast_planes_userhorizon(self) -> Any:
+        """Compute a list of the user horizon per active planes."""
+        planes_userhorizon = []
+
+        for plane in self.pvforecast_planes:
+            userhorizon_attr = f"{plane}_userhorizon"
+            userhorizon = getattr(self, userhorizon_attr, None)
+            if userhorizon:
+                planes_userhorizon.append(userhorizon)
+                continue
+            # TODO Use default
+            planes_userhorizon.append([float(0), float(0)])
+
+        return planes_userhorizon
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def pvforecast_planes_inverter_paco(self) -> Any:
+        """Compute a list of the maximum power rating of the inverter per active planes."""
+        planes_inverter_paco = []
+
+        for plane in self.pvforecast_planes:
+            inverter_paco_attr = f"{plane}_inverter_paco"
+            inverter_paco = getattr(self, inverter_paco_attr, None)
+            if inverter_paco:
+                planes_inverter_paco.append(inverter_paco)
+                continue
+            # TODO Use default - no clipping
+            planes_inverter_paco.append(25000)
+
+        return planes_inverter_paco
diff --git a/src/akkudoktoreos/prediction/pvforecastabc.py b/src/akkudoktoreos/prediction/pvforecastabc.py
new file mode 100644
index 0000000..0770c2c
--- /dev/null
+++ b/src/akkudoktoreos/prediction/pvforecastabc.py
@@ -0,0 +1,63 @@
+"""Abstract and base classes for pvforecast predictions.
+
+Notes:
+    - Ensure appropriate API keys or configurations are set up if required by external data sources.
+"""
+
+from abc import abstractmethod
+from typing import List, Optional
+
+from pydantic import Field
+
+from akkudoktoreos.prediction.predictionabc import PredictionProvider, PredictionRecord
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class PVForecastDataRecord(PredictionRecord):
+    """Represents a pvforecast data record containing various pvforecast attributes at a specific datetime."""
+
+    pvforecast_dc_power: Optional[float] = Field(default=None, description="Total DC power (W)")
+    pvforecast_ac_power: Optional[float] = Field(default=None, description="Total AC power (W)")
+
+
+class PVForecastProvider(PredictionProvider):
+    """Abstract base class for pvforecast providers.
+
+    PVForecastProvider is a thread-safe singleton, ensuring only one instance of this class is created.
+
+    Configuration variables:
+        pvforecast_provider (str): Prediction provider for pvforecast.
+
+    Attributes:
+        prediction_hours (int, optional): The number of hours into the future for which predictions are generated.
+        prediction_historic_hours (int, optional): The number of past hours for which historical data is retained.
+        latitude (float, optional): The latitude in degrees, must be within -90 to 90.
+        longitude (float, optional): The longitude in degrees, must be within -180 to 180.
+        start_datetime (datetime, optional): The starting datetime for predictions (inlcusive), defaults to the current datetime if unspecified.
+        end_datetime (datetime, computed): The datetime representing the end of the prediction range (exclusive),
+            calculated based on `start_datetime` and `prediction_hours`.
+        keep_datetime (datetime, computed): The earliest datetime for retaining historical data (inclusive), calculated
+            based on `start_datetime` and `prediction_historic_hours`.
+    """
+
+    # overload
+    records: List[PVForecastDataRecord] = Field(
+        default_factory=list, description="List of PVForecastDataRecord records"
+    )
+
+    # @classmethod
+    # def record_class(cls) -> Any:
+    #    return PVForecastDataRecord
+
+    @classmethod
+    @abstractmethod
+    def provider_id(cls) -> str:
+        return "PVForecastProvider"
+
+    def enabled(self) -> bool:
+        logger.debug(
+            f"PVForecastProvider ID {self.provider_id()} vs. config {self.config.pvforecast_provider}"
+        )
+        return self.provider_id() == self.config.pvforecast_provider
diff --git a/src/akkudoktoreos/prediction/pvforecastakkudoktor.py b/src/akkudoktoreos/prediction/pvforecastakkudoktor.py
new file mode 100644
index 0000000..496c96b
--- /dev/null
+++ b/src/akkudoktoreos/prediction/pvforecastakkudoktor.py
@@ -0,0 +1,396 @@
+"""PV Power Forecasting with Akkudoktor.
+
+This module provides classes and methods to retrieve, process, and display photovoltaic (PV) power forecast data. It includes features for working with environmental data such as temperature, wind speed, DC power, and AC power. Data retrieval is designed to work with Akkudoktor.net, and caching is implemented to reduce redundant network requests. Additionally, the module supports management of historical data for analysis over time.
+
+Classes:
+    AkkudoktorForecastHorizon: Represents details about the orientation of PV system horizons.
+    AkkudoktorForecastMeta: Metadata configuration for the forecast, including location, system settings, and timezone.
+    AkkudoktorForecastValue: Represents a single forecast data entry with information on temperature, wind speed, and solar orientation.
+    AkkudoktorForecast: The main container for forecast data, holding both metadata and individual forecast entries.
+    PVForecastAkkudoktorDataRecord: A specialized data record format for PV forecast data, including forecasted and actual AC power measurements.
+    PVForecastAkkudoktorSettings: Contains configuration settings for constructing the Akkudoktor forecast API URL.
+    PVForecastAkkudoktor: Primary class to manage PV power forecasts, handle data retrieval, caching, and integration with Akkudoktor.net.
+
+Example:
+    # Set up the configuration with necessary fields for URL generation
+    settings_data = {
+        "prediction_hours": 48,
+        "prediction_historic_hours": 24,
+        "latitude": 50.8588,
+        "longitude": 7.3747,
+        "pvforecast_provider": "Akkudoktor",
+        "pvforecast0_peakpower": 5.0,
+        "pvforecast0_surface_azimuth": -10,
+        "pvforecast0_surface_tilt": 7,
+        "pvforecast0_userhorizon": [20, 27, 22, 20],
+        "pvforecast0_inverter_paco": 10000,
+        "pvforecast1_peakpower": 4.8,
+        "pvforecast1_surface_azimuth": -90,
+        "pvforecast1_surface_tilt": 7,
+        "pvforecast1_userhorizon": [30, 30, 30, 50],
+        "pvforecast1_inverter_paco": 10000,
+    }
+
+    # Create the config instance from the provided data
+    config = PVForecastAkkudoktorSettings(**settings_data)
+
+    # Initialize the forecast object with the generated configuration
+    forecast = PVForecastAkkudoktor(settings=config)
+
+    # Get an actual forecast
+    forecast.update_data()
+
+    # Update the AC power measurement for a specific date and time
+    forecast.update_value(to_datetime(None, to_maxtime=False), "pvforecastakkudoktor_ac_power_measured", 1000.0)
+
+    # Report the DC and AC power forecast along with AC measurements
+    print(forecast.report_ac_power_and_measurement())
+
+Attributes:
+    prediction_hours (int): Number of hours into the future to forecast. Default is 48.
+    prediction_historic_hours (int): Number of past hours to retain for analysis. Default is 24.
+    latitude (float): Latitude for the forecast location.
+    longitude (float): Longitude for the forecast location.
+    start_datetime (datetime): Start time for the forecast, defaulting to current datetime.
+    end_datetime (datetime): Computed end datetime based on `start_datetime` and `prediction_hours`.
+    keep_datetime (datetime): Computed threshold datetime for retaining historical data.
+
+Methods:
+    provider_id(): Returns the unique identifier for the Akkudoktor provider.
+    _request_forecast(): Retrieves forecast data from the Akkudoktor API.
+    _update_data(): Updates forecast data within the PVForecastAkkudoktorDataRecord structure.
+    report_ac_power_and_measurement(): Generates a report on AC and DC power forecasts and actual measurements.
+
+"""
+
+from typing import Any, List, Optional, Union
+
+import requests
+from pydantic import Field, ValidationError, computed_field
+
+from akkudoktoreos.core.pydantic import PydanticBaseModel
+from akkudoktoreos.prediction.pvforecastabc import (
+    PVForecastDataRecord,
+    PVForecastProvider,
+)
+from akkudoktoreos.utils.cacheutil import cache_in_file
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class AkkudoktorForecastHorizon(PydanticBaseModel):
+    altitude: int
+    azimuthFrom: int
+    azimuthTo: int
+
+
+class AkkudoktorForecastMeta(PydanticBaseModel):
+    lat: float
+    lon: float
+    power: List[int]
+    azimuth: List[int]
+    tilt: List[int]
+    timezone: str
+    albedo: float
+    past_days: int
+    inverterEfficiency: float
+    powerInverter: List[int]
+    cellCoEff: float
+    range: bool
+    horizont: List[List[AkkudoktorForecastHorizon]]
+    horizontString: List[str]
+
+
+class AkkudoktorForecastValue(PydanticBaseModel):
+    datetime: str
+    dcPower: float
+    power: float
+    sunTilt: float
+    sunAzimuth: float
+    temperature: float
+    relativehumidity_2m: float
+    windspeed_10m: float
+
+
+class AkkudoktorForecast(PydanticBaseModel):
+    meta: AkkudoktorForecastMeta
+    values: List[List[AkkudoktorForecastValue]]
+
+
+class PVForecastAkkudoktorDataRecord(PVForecastDataRecord):
+    """Represents a Akkudoktor specific pvforecast data record containing various pvforecast attributes at a specific datetime."""
+
+    pvforecastakkudoktor_ac_power_measured: Optional[float] = Field(
+        default=None, description="Total AC power measured (W)"
+    )
+    pvforecastakkudoktor_wind_speed_10m: Optional[float] = Field(
+        default=None, description="Wind Speed 10m (kmph)"
+    )
+    pvforecastakkudoktor_temp_air: Optional[float] = Field(
+        default=None, description="Temperature (°C)"
+    )
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def pvforecastakkudoktor_ac_power_any(self) -> Optional[float]:
+        """Returns the AC power.
+
+        If a measured value is available, it returns the measured AC power;
+        otherwise, it returns the forecasted AC power.
+
+        Returns:
+            float: AC power in watts or None if no forecast data is available.
+        """
+        if self.pvforecastakkudoktor_ac_power_measured is not None:
+            return self.pvforecastakkudoktor_ac_power_measured
+        else:
+            return self.pvforecast_ac_power
+
+
+class PVForecastAkkudoktor(PVForecastProvider):
+    """Fetch and process PV forecast data from akkudoktor.net.
+
+    PVForecastAkkudoktor is a singleton-based class that retrieves weather forecast data
+    from the PVForecastAkkudoktor API and maps it to `PVForecastDataRecord` fields, applying
+    any necessary scaling or unit corrections. It manages the forecast over a range
+    of hours into the future and retains historical data.
+
+    Attributes:
+        prediction_hours (int, optional): Number of hours in the future for the forecast.
+        prediction_historic_hours (int, optional): Number of past hours for retaining data.
+        latitude (float, optional): The latitude in degrees, validated to be between -90 and 90.
+        longitude (float, optional): The longitude in degrees, validated to be between -180 and 180.
+        start_datetime (datetime, optional): Start datetime for forecasts, defaults to the current datetime.
+        end_datetime (datetime, computed): The forecast's end datetime, computed based on `start_datetime` and `prediction_hours`.
+        keep_datetime (datetime, computed): The datetime to retain historical data, computed from `start_datetime` and `prediction_historic_hours`.
+
+    Methods:
+        provider_id(): Returns a unique identifier for the provider.
+        _request_forecast(): Fetches the forecast from the Akkudoktor API.
+        _update_data(): Processes and updates forecast data from Akkudoktor in PVForecastDataRecord format.
+    """
+
+    # overload
+    records: List[PVForecastAkkudoktorDataRecord] = Field(
+        default_factory=list, description="List of PVForecastAkkudoktorDataRecord records"
+    )
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the Akkudoktor provider."""
+        return "PVForecastAkkudoktor"
+
+    @classmethod
+    def _validate_data(cls, json_str: Union[bytes, Any]) -> AkkudoktorForecast:
+        """Validate Akkudoktor PV forecast data."""
+        try:
+            akkudoktor_data = AkkudoktorForecast.model_validate_json(json_str)
+        except ValidationError as e:
+            error_msg = ""
+            for error in e.errors():
+                field = " -> ".join(str(x) for x in error["loc"])
+                message = error["msg"]
+                error_type = error["type"]
+                error_msg += f"Field: {field}\nError: {message}\nType: {error_type}\n"
+            logger.error(f"Akkudoktor schema change: {error_msg}")
+            raise ValueError(error_msg)
+        return akkudoktor_data
+
+    def _url(self) -> str:
+        """Build akkudoktor.net API request URL."""
+        url = f"https://api.akkudoktor.net/forecast?lat={self.config.latitude}&lon={self.config.longitude}&"
+        planes_peakpower = self.config.pvforecast_planes_peakpower
+        planes_azimuth = self.config.pvforecast_planes_azimuth
+        planes_tilt = self.config.pvforecast_planes_tilt
+        planes_inverter_paco = self.config.pvforecast_planes_inverter_paco
+        planes_userhorizon = self.config.pvforecast_planes_userhorizon
+        for i, plane in enumerate(self.config.pvforecast_planes):
+            url += f"power={int(planes_peakpower[i]*1000)}&"
+            url += f"azimuth={int(planes_azimuth[i])}&"
+            url += f"tilt={int(planes_tilt[i])}&"
+            url += f"powerInverter={int(planes_inverter_paco[i])}&"
+            url += "horizont="
+            for horizon in planes_userhorizon[i]:
+                url += f"{int(horizon)},"
+            url = url[:-1]  # remove trailing comma
+            url += "&"
+        url += "past_days=5&cellCoEff=-0.36&inverterEfficiency=0.8&albedo=0.25&"
+        url += f"timezone={self.config.timezone}&"
+        url += "hourly=relativehumidity_2m%2Cwindspeed_10m"
+        logger.debug(f"Akkudoktor URL: {url}")
+        return url
+
+    @cache_in_file(with_ttl="1 hour")
+    def _request_forecast(self) -> AkkudoktorForecast:
+        """Fetch PV forecast data from Akkudoktor API.
+
+        This method sends a request to Akkudoktor API to retrieve forecast data
+        for a specified date range and location. The response data is parsed and
+        returned as JSON for further processing.
+
+        Returns:
+            dict: The parsed JSON response from Akkudoktor API containing forecast data.
+
+        Raises:
+            ValueError: If the API response does not include expected `meta` data.
+        """
+        response = requests.get(self._url())
+        response.raise_for_status()  # Raise an error for bad responses
+        logger.debug(f"Response from {self._url()}: {response}")
+        akkudoktor_data = self._validate_data(response.content)
+        # We are working on fresh data (no cache), report update time
+        self.update_datetime = to_datetime(in_timezone=self.config.timezone)
+        return akkudoktor_data
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        """Update forecast data in the PVForecastAkkudoktorDataRecord format.
+
+        Retrieves data from Akkudoktor. The processed data is inserted into the sequence as
+        `PVForecastAkkudoktorDataRecord`.
+        """
+        # Assure we have something to request PV power for.
+        if len(self.config.pvforecast_planes) == 0:
+            # No planes for PV
+            error_msg = "Requested PV forecast, but no planes configured."
+            logger.error(f"Configuration error: {error_msg}")
+            raise ValueError(error_msg)
+
+        # Get Akkudoktor PV Forecast data for the given configuration.
+        akkudoktor_data = self._request_forecast(force_update=force_update)  # type: ignore
+
+        # Timezone of the PV system
+        if self.config.timezone != akkudoktor_data.meta.timezone:
+            error_msg = f"Configured timezone '{self.config.timezone}' does not match Akkudoktor timezone '{akkudoktor_data.meta.timezone}'."
+            logger.error(f"Akkudoktor schema change: {error_msg}")
+            raise ValueError(error_msg)
+
+        # Assumption that all lists are the same length and are ordered chronologically
+        # in ascending order and have the same timestamps.
+        values_len = len(akkudoktor_data.values[0])
+        if values_len < self.config.prediction_hours:
+            # Expect one value set per prediction hour
+            error_msg = (
+                f"The forecast must cover at least {self.config.prediction_hours} hours, "
+                f"but only {values_len} data sets are given in forecast data."
+            )
+            logger.error(f"Akkudoktor schema change: {error_msg}")
+            raise ValueError(error_msg)
+
+        for i in range(values_len):
+            original_datetime = akkudoktor_data.values[0][i].datetime
+            dt = to_datetime(original_datetime, in_timezone=self.config.timezone)
+
+            # iso_datetime = parser.parse(original_datetime).isoformat()  # Konvertiere zu ISO-Format
+            # print()
+            # Optional: 2 Stunden abziehen, um die Zeitanpassung zu testen
+            # adjusted_datetime = parser.parse(original_datetime) - timedelta(hours=2)
+            # print(f"Angepasste Zeitstempel: {adjusted_datetime.isoformat()}")
+
+            if compare_datetimes(dt, self.start_datetime).lt:
+                # forecast data is too old
+                continue
+
+            sum_dc_power = sum(values[i].dcPower for values in akkudoktor_data.values)
+            sum_ac_power = sum(values[i].power for values in akkudoktor_data.values)
+
+            record = PVForecastAkkudoktorDataRecord(
+                date_time=dt,  # Verwende angepassten Zeitstempel
+                pvforecast_dc_power=sum_dc_power,
+                pvforecast_ac_power=sum_ac_power,
+                pvforecastakkudoktor_wind_speed_10m=akkudoktor_data.values[0][i].windspeed_10m,
+                pvforecastakkudoktor_temp_air=akkudoktor_data.values[0][i].temperature,
+            )
+            self.append(record)
+
+        if len(self) < self.config.prediction_hours:
+            raise ValueError(
+                f"The forecast must cover at least {self.config.prediction_hours} hours, "
+                f"but only {len(self)} hours starting from {self.start_datetime} "
+                f"were predicted."
+            )
+
+    def report_ac_power_and_measurement(self) -> str:
+        """Report DC/ AC power, and AC power measurement for each forecast hour.
+
+        For each forecast entry, the time, DC power, forecasted AC power, measured AC power
+        (if available), and the value returned by the `get_ac_power` method is provided.
+
+        Returns:
+            str: The report.
+        """
+        rep = ""
+        for record in self.records:
+            date_time = record.date_time
+            dc_pow = round(record.pvforecast_dc_power, 2) if record.pvforecast_dc_power else None
+            ac_pow = round(record.pvforecast_ac_power, 2) if record.pvforecast_ac_power else None
+            ac_pow_measurement = (
+                round(record.pvforecastakkudoktor_ac_power_measured, 2)
+                if record.pvforecastakkudoktor_ac_power_measured
+                else None
+            )
+            ac_pow_any = (
+                round(record.pvforecastakkudoktor_ac_power_any, 2)
+                if record.pvforecastakkudoktor_ac_power_any
+                else None
+            )
+            rep += (
+                f"Date&Time: {date_time}, DC: {dc_pow}, AC: {ac_pow}, "
+                f"AC sampled: {ac_pow_measurement}, AC any: {ac_pow_any}"
+                "\n"
+            )
+        return rep
+
+
+# Example of how to use the PVForecastAkkudoktor class
+if __name__ == "__main__":
+    """Main execution block to demonstrate the use of the PVForecastAkkudoktor class.
+
+    Sets up the forecast configuration fields, fetches PV power forecast data,
+    updates the AC power measurement for the current date/time, and prints
+    the DC and AC power information.
+    """
+    # Set up the configuration with necessary fields for URL generation
+    settings_data = {
+        "prediction_hours": 48,
+        "prediction_historic_hours": 24,
+        "latitude": 50.8588,
+        "longitude": 7.3747,
+        "pvforecast_provider": "PVForecastAkkudoktor",
+        "pvforecast0_peakpower": 5.0,
+        "pvforecast0_surface_azimuth": -10,
+        "pvforecast0_surface_tilt": 7,
+        "pvforecast0_userhorizon": [20, 27, 22, 20],
+        "pvforecast0_inverter_paco": 10000,
+        "pvforecast1_peakpower": 4.8,
+        "pvforecast1_surface_azimuth": -90,
+        "pvforecast1_surface_tilt": 7,
+        "pvforecast1_userhorizon": [30, 30, 30, 50],
+        "pvforecast1_inverter_paco": 10000,
+        "pvforecast2_peakpower": 1.4,
+        "pvforecast2_surface_azimuth": -40,
+        "pvforecast2_surface_tilt": 60,
+        "pvforecast2_userhorizon": [60, 30, 0, 30],
+        "pvforecast2_inverter_paco": 2000,
+        "pvforecast3_peakpower": 1.6,
+        "pvforecast3_surface_azimuth": 5,
+        "pvforecast3_surface_tilt": 45,
+        "pvforecast3_userhorizon": [45, 25, 30, 60],
+        "pvforecast3_inverter_paco": 1400,
+    }
+
+    # Initialize the forecast object with the generated configuration
+    forecast = PVForecastAkkudoktor()
+
+    # Get an actual forecast
+    forecast.update_data()
+
+    # Update the AC power measurement for a specific date and time
+    forecast.update_value(
+        to_datetime(None, to_maxtime=False), "pvforecastakkudoktor_ac_power_measured", 1000.0
+    )
+
+    # Report the DC and AC power forecast along with AC measurements
+    print(forecast.report_ac_power_and_measurement())
diff --git a/src/akkudoktoreos/prediction/pvforecastimport.py b/src/akkudoktoreos/prediction/pvforecastimport.py
new file mode 100644
index 0000000..8f04e11
--- /dev/null
+++ b/src/akkudoktoreos/prediction/pvforecastimport.py
@@ -0,0 +1,69 @@
+"""Retrieves pvforecast forecast data from an import file.
+
+This module provides classes and mappings to manage pvforecast data obtained from
+an import file, including support for various pvforecast attributes such as temperature,
+humidity, cloud cover, and solar irradiance. The data is mapped to the `PVForecastDataRecord`
+format, enabling consistent access to forecasted and historical pvforecast attributes.
+"""
+
+from pathlib import Path
+from typing import Optional, Union
+
+from pydantic import Field, field_validator
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.prediction.predictionabc import PredictionImportProvider
+from akkudoktoreos.prediction.pvforecastabc import PVForecastProvider
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class PVForecastImportCommonSettings(SettingsBaseModel):
+    """Common settings for pvforecast data import from file."""
+
+    pvforecastimport_file_path: Optional[Union[str, Path]] = Field(
+        default=None, description="Path to the file to import pvforecast data from."
+    )
+
+    pvforecastimport_json: Optional[str] = Field(
+        default=None,
+        description="JSON string, dictionary of PV forecast float value lists."
+        "Keys are 'pvforecast_dc_power', 'pvforecast_ac_power'.",
+    )
+
+    # Validators
+    @field_validator("pvforecastimport_file_path", mode="after")
+    @classmethod
+    def validate_pvforecastimport_file_path(
+        cls, value: Optional[Union[str, Path]]
+    ) -> Optional[Path]:
+        if value is None:
+            return None
+        if isinstance(value, str):
+            value = Path(value)
+        """Ensure file is available."""
+        value.resolve()
+        if not value.is_file():
+            raise ValueError(f"Import file path '{value}' is not a file.")
+        return value
+
+
+class PVForecastImport(PVForecastProvider, PredictionImportProvider):
+    """Fetch PV forecast data from import file or JSON string.
+
+    PVForecastImport is a singleton-based class that retrieves pvforecast forecast data
+    from a file or JSON string and maps it to `PVForecastDataRecord` fields. It manages the forecast
+    over a range of hours into the future and retains historical data.
+    """
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the PVForecastImport provider."""
+        return "PVForecastImport"
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        if self.config.pvforecastimport_file_path is not None:
+            self.import_from_file(self.config.pvforecastimport_file_path, key_prefix="pvforecast")
+        if self.config.pvforecastimport_json is not None:
+            self.import_from_json(self.config.pvforecastimport_json, key_prefix="pvforecast")
diff --git a/tests/test_pv_forecast.py b/tests/test_pv_forecast.py
deleted file mode 100644
index ad9d18e..0000000
--- a/tests/test_pv_forecast.py
+++ /dev/null
@@ -1,286 +0,0 @@
-"""Test Module for PV Power Forecasting Module.
-
-This test module is designed to verify the functionality of the `PVForecast` class
-and its methods in the `prediction.pv_forecast` module. The tests include validation for
-forecast data processing, updating AC power measurements, retrieving forecast data,
-and caching behavior.
-
-Fixtures:
-    sample_forecast_data: Provides sample forecast data in JSON format for testing.
-    pv_forecast_instance: Provides an instance of `PVForecast` class with sample data loaded.
-
-Test Cases:
-    - test_generate_cache_filename: Verifies correct cache filename generation based on URL and date.
-    - test_update_ac_power_measurement: Tests updating AC power measurement for a matching date.
-    - test_update_ac_power_measurement_no_match: Ensures no updates occur when there is no matching date.
-    - test_get_temperature_forecast_for_date: Tests retrieving the temperature forecast for a specific date.
-    - test_get_pv_forecast_for_date_range: Verifies retrieval of AC power forecast for a specified date range.
-    - test_get_forecast_dataframe: Ensures forecast data can be correctly converted into a Pandas DataFrame.
-    - test_cache_loading: Tests loading forecast data from a cached file to ensure caching works as expected.
-
-Usage:
-    This test module uses `pytest` and requires the `akkudoktoreos.prediction.pv_forecast.py` module to be present.
-    Run the tests using the command: `pytest test_pv_forecast.py`.
-
-"""
-
-import json
-import sys
-from datetime import datetime, timedelta
-from pathlib import Path
-
-import pytest
-
-from akkudoktoreos.prediction.pv_forecast import PVForecast, validate_pv_forecast_data
-from akkudoktoreos.utils.datetimeutil import to_datetime
-
-DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
-
-FILE_TESTDATA_PV_FORECAST_INPUT_1 = DIR_TESTDATA.joinpath("pv_forecast_input_1.json")
-FILE_TESTDATA_PV_FORECAST_RESULT_1 = DIR_TESTDATA.joinpath("pv_forecast_result_1.txt")
-
-
-@pytest.fixture
-def sample_forecast_data():
-    """Fixture that returns sample forecast data."""
-    with open(FILE_TESTDATA_PV_FORECAST_INPUT_1, "r") as f_in:
-        input_data = json.load(f_in)
-    return input_data
-
-
-@pytest.fixture
-def sample_forecast_report():
-    """Fixture that returns sample forecast data report."""
-    with open(FILE_TESTDATA_PV_FORECAST_RESULT_1, "r") as f_res:
-        input_data = f_res.read()
-    return input_data
-
-
-@pytest.fixture
-def sample_forecast_start(sample_forecast_data):
-    """Fixture that returns the start date of the sample forecast data."""
-    forecast_start_str = sample_forecast_data["values"][0][0]["datetime"]
-    assert forecast_start_str == "2024-10-06T00:00:00.000+02:00"
-
-    timezone_name = sample_forecast_data["meta"]["timezone"]
-    assert timezone_name == "Europe/Berlin"
-
-    forecast_start = to_datetime(forecast_start_str, to_timezone=timezone_name, to_naiv=True)
-    assert forecast_start == datetime(2024, 10, 6)
-
-    return forecast_start
-
-
-@pytest.fixture
-def pv_forecast_empty_instance():
-    """Fixture that returns an empty instance of PVForecast."""
-    empty_instance = PVForecast()
-    assert empty_instance.get_forecast_start() is None
-
-    return empty_instance
-
-
-@pytest.fixture
-def pv_forecast_instance(sample_forecast_data, sample_forecast_start):
-    """Fixture that returns an instance of PVForecast with sample data loaded."""
-    pv_forecast = PVForecast(
-        data=sample_forecast_data,
-        forecast_start=sample_forecast_start,
-        prediction_hours=48,
-    )
-    return pv_forecast
-
-
-def test_validate_pv_forecast_data(sample_forecast_data):
-    """Test validation of PV forecast data on sample data."""
-    ret = validate_pv_forecast_data({})
-    assert ret is None
-
-    ret = validate_pv_forecast_data(sample_forecast_data)
-    assert ret == "Akkudoktor"
-
-
-def test_process_data(sample_forecast_data, sample_forecast_start):
-    """Test data processing using sample data."""
-    pv_forecast_instance = PVForecast(forecast_start=sample_forecast_start)
-
-    # Assure the start date is correctly set by init funtion
-    forecast_start = pv_forecast_instance.get_forecast_start()
-    expected_start = sample_forecast_start
-    assert forecast_start == expected_start
-
-    # Assure the prediction hours are unset
-    assert pv_forecast_instance.prediction_hours is None
-
-    # Load forecast with sample data - throws exceptions on error
-    pv_forecast_instance.process_data(data=sample_forecast_data)
-
-
-def test_update_ac_power_measurement(pv_forecast_instance, sample_forecast_start):
-    """Test updating AC power measurement for a specific date."""
-    forecast_start = pv_forecast_instance.get_forecast_start()
-    assert forecast_start == sample_forecast_start
-
-    updated = pv_forecast_instance.update_ac_power_measurement(1000, forecast_start)
-    assert updated is True
-    forecast_data = pv_forecast_instance.get_forecast_data()
-    assert forecast_data[0].ac_power_measurement == 1000
-
-
-def test_update_ac_power_measurement_no_match(pv_forecast_instance):
-    """Test updating AC power measurement where no date matches."""
-    date_time = datetime(2023, 10, 2, 1, 0, 0)
-    updated = pv_forecast_instance.update_ac_power_measurement(1000, date_time)
-    assert not updated
-
-
-def test_get_temperature_forecast_for_date(pv_forecast_instance, sample_forecast_start):
-    """Test fetching temperature forecast for a specific date."""
-    forecast_temps = pv_forecast_instance.get_temperature_forecast_for_date(sample_forecast_start)
-    assert len(forecast_temps) == 24
-    assert forecast_temps[0] == 7.0
-    assert forecast_temps[1] == 6.5
-    assert forecast_temps[2] == 6.0
-
-    # Assure function bails out if there is no timezone name available for the system.
-    tz_name = pv_forecast_instance._tz_name
-    pv_forecast_instance._tz_name = None
-    with pytest.raises(Exception) as exc_info:
-        forecast_temps = pv_forecast_instance.get_temperature_forecast_for_date(
-            sample_forecast_start
-        )
-    pv_forecast_instance._tz_name = tz_name
-    assert (
-        exc_info.value.args[0] == "Processing without PV system timezone info ist not implemented!"
-    )
-
-
-def test_get_temperature_for_date_range(pv_forecast_instance, sample_forecast_start):
-    """Test fetching temperature forecast for a specific date range."""
-    end_date = sample_forecast_start + timedelta(hours=24)
-    forecast_temps = pv_forecast_instance.get_temperature_for_date_range(
-        sample_forecast_start, end_date
-    )
-    assert len(forecast_temps) == 48
-    assert forecast_temps[0] == 7.0
-    assert forecast_temps[1] == 6.5
-    assert forecast_temps[2] == 6.0
-
-    # Assure function bails out if there is no timezone name available for the system.
-    tz_name = pv_forecast_instance._tz_name
-    pv_forecast_instance._tz_name = None
-    with pytest.raises(Exception) as exc_info:
-        forecast_temps = pv_forecast_instance.get_temperature_for_date_range(
-            sample_forecast_start, end_date
-        )
-    pv_forecast_instance._tz_name = tz_name
-    assert (
-        exc_info.value.args[0] == "Processing without PV system timezone info ist not implemented!"
-    )
-
-
-def test_get_forecast_for_date_range(pv_forecast_instance, sample_forecast_start):
-    """Test fetching AC power forecast for a specific date range."""
-    end_date = sample_forecast_start + timedelta(hours=24)
-    forecast = pv_forecast_instance.get_pv_forecast_for_date_range(sample_forecast_start, end_date)
-    assert len(forecast) == 48
-    assert forecast[0] == 0.0
-    assert forecast[1] == 0.0
-    assert forecast[2] == 0.0
-
-    # Assure function bails out if there is no timezone name available for the system.
-    tz_name = pv_forecast_instance._tz_name
-    pv_forecast_instance._tz_name = None
-    with pytest.raises(Exception) as exc_info:
-        forecast = pv_forecast_instance.get_pv_forecast_for_date_range(
-            sample_forecast_start, end_date
-        )
-    pv_forecast_instance._tz_name = tz_name
-    assert (
-        exc_info.value.args[0] == "Processing without PV system timezone info ist not implemented!"
-    )
-
-
-def test_get_forecast_dataframe(pv_forecast_instance):
-    """Test converting forecast data to a DataFrame."""
-    df = pv_forecast_instance.get_forecast_dataframe()
-    assert len(df) == 288
-    assert list(df.columns) == ["date_time", "dc_power", "ac_power", "windspeed_10m", "temperature"]
-    assert df.iloc[0]["dc_power"] == 0.0
-    assert df.iloc[1]["ac_power"] == 0.0
-    assert df.iloc[2]["temperature"] == 6.0
-
-
-def test_load_data_from_file(server, pv_forecast_empty_instance):
-    """Test loading data from file."""
-    # load from valid address file path
-    filepath = FILE_TESTDATA_PV_FORECAST_INPUT_1
-    data = pv_forecast_empty_instance.load_data_from_file(filepath)
-    assert len(data) > 0
-
-
-def test_load_data_from_url(server, pv_forecast_empty_instance):
-    """Test loading data from url."""
-    # load from valid address of our server
-    url = f"{server}/gesamtlast_simple?year_energy=2000&"
-    data = pv_forecast_empty_instance.load_data_from_url(url)
-    assert len(data) > 0
-
-    # load from invalid address of our server
-    url = f"{server}/invalid?"
-    data = pv_forecast_empty_instance.load_data_from_url(url)
-    assert data == f"Failed to load data from `{url}`. Status Code: 404"
-
-
-def test_load_data_from_url_with_caching(
-    server, pv_forecast_empty_instance, sample_forecast_data, sample_forecast_start
-):
-    """Test loading data from url with cache."""
-    # load from valid address of our server
-    url = f"{server}/gesamtlast_simple?year_energy=2000&"
-    data = pv_forecast_empty_instance.load_data_from_url_with_caching(url)
-    assert len(data) > 0
-
-    # load from invalid address of our server
-    url = f"{server}/invalid?"
-    data = pv_forecast_empty_instance.load_data_from_url_with_caching(url)
-    assert data == f"Failed to load data from `{url}`. Status Code: 404"
-
-
-def test_report_ac_power_and_measurement(pv_forecast_instance, sample_forecast_report):
-    """Test reporting."""
-    report = pv_forecast_instance.report_ac_power_and_measurement()
-    assert report == sample_forecast_report
-
-
-@pytest.mark.skipif(
-    sys.platform.startswith("win"), reason="'other_timezone' fixture not supported on Windows"
-)
-def test_timezone_behaviour(
-    pv_forecast_instance, sample_forecast_report, sample_forecast_start, other_timezone
-):
-    """Test PVForecast in another timezone."""
-    current_time = datetime.now()
-
-    # Test updating AC power measurement for a specific date.
-    date_time = pv_forecast_instance.get_forecast_start()
-    assert date_time == sample_forecast_start
-    updated = pv_forecast_instance.update_ac_power_measurement(1000, date_time)
-    assert updated is True
-    forecast_data = pv_forecast_instance.get_forecast_data()
-    assert forecast_data[0].ac_power_measurement == 1000
-
-    # Test fetching temperature forecast for a specific date.
-    forecast_temps = pv_forecast_instance.get_temperature_forecast_for_date(sample_forecast_start)
-    assert len(forecast_temps) == 24
-    assert forecast_temps[0] == 7.0
-    assert forecast_temps[1] == 6.5
-    assert forecast_temps[2] == 6.0
-
-    # Test fetching AC power forecast
-    end_date = sample_forecast_start + timedelta(hours=24)
-    forecast = pv_forecast_instance.get_pv_forecast_for_date_range(sample_forecast_start, end_date)
-    assert len(forecast) == 48
-    assert forecast[0] == 1000.0  # changed before
-    assert forecast[1] == 0.0
-    assert forecast[2] == 0.0
diff --git a/tests/test_pvforecastakkudoktor.py b/tests/test_pvforecastakkudoktor.py
new file mode 100644
index 0000000..b598170
--- /dev/null
+++ b/tests/test_pvforecastakkudoktor.py
@@ -0,0 +1,307 @@
+import sys
+from pathlib import Path
+from unittest.mock import Mock, patch
+
+import pytest
+
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.prediction import get_prediction
+from akkudoktoreos.prediction.pvforecastakkudoktor import (
+    AkkudoktorForecastHorizon,
+    AkkudoktorForecastMeta,
+    AkkudoktorForecastValue,
+    PVForecastAkkudoktor,
+    PVForecastAkkudoktorDataRecord,
+)
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime, to_duration
+
+DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
+
+FILE_TESTDATA_PV_FORECAST_INPUT_1 = DIR_TESTDATA.joinpath("pv_forecast_input_1.json")
+FILE_TESTDATA_PV_FORECAST_RESULT_1 = DIR_TESTDATA.joinpath("pv_forecast_result_1.txt")
+
+
+config_eos = get_config()
+ems_eos = get_ems()
+
+
+@pytest.fixture
+def sample_settings(reset_config):
+    """Fixture that adds settings data to the global config."""
+    settings = {
+        "prediction_hours": 48,
+        "prediction_historic_hours": 24,
+        "latitude": 50.8588,
+        "longitude": 7.3747,
+        "pvforecast_provider": "PVForecastAkkudoktor",
+        "pvforecast0_peakpower": 5.0,
+        "pvforecast0_surface_azimuth": -10,
+        "pvforecast0_surface_tilt": 7,
+        "pvforecast0_userhorizon": [20, 27, 22, 20],
+        "pvforecast0_inverter_paco": 10000,
+        "pvforecast1_peakpower": 4.8,
+        "pvforecast1_surface_azimuth": -90,
+        "pvforecast1_surface_tilt": 7,
+        "pvforecast1_userhorizon": [30, 30, 30, 50],
+        "pvforecast1_inverter_paco": 10000,
+        "pvforecast2_peakpower": 1.4,
+        "pvforecast2_surface_azimuth": -40,
+        "pvforecast2_surface_tilt": 60,
+        "pvforecast2_userhorizon": [60, 30, 0, 30],
+        "pvforecast2_inverter_paco": 2000,
+        "pvforecast3_peakpower": 1.6,
+        "pvforecast3_surface_azimuth": 5,
+        "pvforecast3_surface_tilt": 45,
+        "pvforecast3_userhorizon": [45, 25, 30, 60],
+        "pvforecast3_inverter_paco": 1400,
+        "pvforecast4_peakpower": None,
+    }
+
+    # Merge settings to config
+    config_eos.merge_settings_from_dict(settings)
+    return config_eos
+
+
+@pytest.fixture
+def sample_forecast_data():
+    """Fixture that returns sample forecast data converted to pydantic model."""
+    with open(FILE_TESTDATA_PV_FORECAST_INPUT_1, "r") as f_in:
+        input_data = f_in.read()
+    return PVForecastAkkudoktor._validate_data(input_data)
+
+
+@pytest.fixture
+def sample_forecast_data_raw():
+    """Fixture that returns raw sample forecast data."""
+    with open(FILE_TESTDATA_PV_FORECAST_INPUT_1, "r") as f_in:
+        input_data = f_in.read()
+    return input_data
+
+
+@pytest.fixture
+def sample_forecast_report():
+    """Fixture that returns sample forecast data report."""
+    with open(FILE_TESTDATA_PV_FORECAST_RESULT_1, "r") as f_res:
+        input_data = f_res.read()
+    return input_data
+
+
+@pytest.fixture
+def sample_forecast_start(sample_forecast_data):
+    """Fixture that returns the start date of the sample forecast data."""
+    forecast_start = to_datetime(sample_forecast_data.values[0][0].datetime)
+    expected_datetime = to_datetime("2024-10-06T00:00:00.000+02:00")
+    assert compare_datetimes(to_datetime(forecast_start), expected_datetime).equal
+
+    timezone_name = sample_forecast_data.meta.timezone
+    assert timezone_name == "Europe/Berlin"
+    return forecast_start
+
+
+@pytest.fixture
+def provider():
+    """Fixture that returns the PVForecastAkkudoktor instance from the prediction."""
+    prediction = get_prediction()
+    provider = prediction.provider_by_id("PVForecastAkkudoktor")
+    assert isinstance(provider, PVForecastAkkudoktor)
+    return provider
+
+
+@pytest.fixture
+def provider_empty_instance():
+    """Fixture that returns an empty instance of PVForecast."""
+    empty_instance = PVForecastAkkudoktor()
+    empty_instance.clear()
+    assert len(empty_instance) == 0
+    return empty_instance
+
+
+# Sample data for testing
+sample_horizon = AkkudoktorForecastHorizon(altitude=30, azimuthFrom=90, azimuthTo=180)
+sample_meta = AkkudoktorForecastMeta(
+    lat=50.85,
+    lon=7.37,
+    power=[5000],
+    azimuth=[180],
+    tilt=[30],
+    timezone="Europe/Berlin",
+    albedo=0.25,
+    past_days=5,
+    inverterEfficiency=0.8,
+    powerInverter=[10000],
+    cellCoEff=-0.36,
+    range=True,
+    horizont=[[sample_horizon]],
+    horizontString=["sample_horizon"],
+)
+sample_value = AkkudoktorForecastValue(
+    datetime="2024-11-09T12:00:00",
+    dcPower=500.0,
+    power=480.0,
+    sunTilt=30.0,
+    sunAzimuth=180.0,
+    temperature=15.0,
+    relativehumidity_2m=50.0,
+    windspeed_10m=10.0,
+)
+sample_config_data = {
+    "prediction_hours": 48,
+    "prediction_historic_hours": 24,
+    "latitude": 50.85,
+    "longitude": 7.37,
+    "pvforecast_provider": "PVForecastAkkudoktor",
+    "pvforecast0_peakpower": 5.0,
+    "pvforecast0_surface_azimuth": 180,
+    "pvforecast0_surface_tilt": 30,
+    "pvforecast0_inverter_paco": 10000,
+}
+
+
+# Tests for AkkudoktorForecastHorizon
+def test_akkudoktor_forecast_horizon():
+    horizon = AkkudoktorForecastHorizon(altitude=30, azimuthFrom=90, azimuthTo=180)
+    assert horizon.altitude == 30
+    assert horizon.azimuthFrom == 90
+    assert horizon.azimuthTo == 180
+
+
+# Tests for AkkudoktorForecastMeta
+def test_akkudoktor_forecast_meta():
+    meta = sample_meta
+    assert meta.lat == 50.85
+    assert meta.lon == 7.37
+    assert meta.power == [5000]
+    assert meta.tilt == [30]
+    assert meta.timezone == "Europe/Berlin"
+
+
+# Tests for AkkudoktorForecastValue
+def test_akkudoktor_forecast_value():
+    value = sample_value
+    assert value.dcPower == 500.0
+    assert value.power == 480.0
+    assert value.temperature == 15.0
+    assert value.windspeed_10m == 10.0
+
+
+# Tests for PVForecastAkkudoktorDataRecord
+def test_pvforecast_akkudoktor_data_record():
+    record = PVForecastAkkudoktorDataRecord(
+        pvforecastakkudoktor_ac_power_measured=1000.0,
+        pvforecastakkudoktor_wind_speed_10m=10.0,
+        pvforecastakkudoktor_temp_air=15.0,
+    )
+    assert record.pvforecastakkudoktor_ac_power_measured == 1000.0
+    assert record.pvforecastakkudoktor_wind_speed_10m == 10.0
+    assert record.pvforecastakkudoktor_temp_air == 15.0
+    assert (
+        record.pvforecastakkudoktor_ac_power_any == 1000.0
+    )  # Assuming AC power measured is preferred
+
+
+def test_pvforecast_akkudoktor_validate_data(provider_empty_instance, sample_forecast_data_raw):
+    """Test validation of PV forecast data on sample data."""
+    with pytest.raises(
+        ValueError,
+        match="Field: meta\nError: Field required\nType: missing\nField: values\nError: Field required\nType: missing\n",
+    ):
+        ret = provider_empty_instance._validate_data("{}")
+    data = provider_empty_instance._validate_data(sample_forecast_data_raw)
+    # everything worked
+
+
+@patch("requests.get")
+def test_pvforecast_akkudoktor_update_with_sample_forecast(
+    mock_get, sample_settings, sample_forecast_data_raw, sample_forecast_start, provider
+):
+    """Test data processing using sample forecast data."""
+    # Mock response object
+    mock_response = Mock()
+    mock_response.status_code = 200
+    mock_response.content = sample_forecast_data_raw
+    mock_get.return_value = mock_response
+
+    # Test that update properly inserts data records
+    ems_eos.start_datetime = sample_forecast_start
+    provider.update_data(force_enable=True, force_update=True)
+    assert compare_datetimes(provider.start_datetime, sample_forecast_start).equal
+    assert compare_datetimes(provider[0].date_time, to_datetime(sample_forecast_start)).equal
+
+
+# Report Generation Test
+def test_report_ac_power_and_measurement(provider):
+    # Set the configuration
+    config = get_config()
+    config.merge_settings_from_dict(sample_config_data)
+
+    record = PVForecastAkkudoktorDataRecord(
+        pvforecastakkudoktor_ac_power_measured=900.0,
+        pvforecast_dc_power=450.0,
+        pvforecast_ac_power=400.0,
+    )
+    provider.append(record)
+
+    report = provider.report_ac_power_and_measurement()
+    assert "DC: 450.0" in report
+    assert "AC: 400.0" in report
+    assert "AC sampled: 900.0" in report
+
+
+@pytest.mark.skipif(
+    sys.platform.startswith("win"), reason="'other_timezone' fixture not supported on Windows"
+)
+@patch("requests.get")
+def test_timezone_behaviour(
+    mock_get,
+    sample_settings,
+    sample_forecast_data_raw,
+    sample_forecast_start,
+    provider,
+    set_other_timezone,
+):
+    """Test PVForecast in another timezone."""
+    mock_response = Mock()
+    mock_response.status_code = 200
+    mock_response.content = sample_forecast_data_raw
+    mock_get.return_value = mock_response
+
+    # sample forecast start in other timezone
+    other_timezone = set_other_timezone()
+    other_start_datetime = to_datetime(sample_forecast_start, in_timezone=other_timezone)
+    assert compare_datetimes(other_start_datetime, sample_forecast_start).equal
+    expected_datetime = to_datetime("2024-10-06T00:00:00+0200", in_timezone=other_timezone)
+    assert compare_datetimes(other_start_datetime, expected_datetime).equal
+
+    provider.clear()
+    assert len(provider) == 0
+    ems_eos.start_datetime = other_start_datetime
+    provider.update_data(force_update=True)
+    assert compare_datetimes(provider.start_datetime, other_start_datetime).equal
+    # Check wether first record starts at requested sample start time
+    assert compare_datetimes(provider[0].date_time, sample_forecast_start).equal
+
+    # Test updating AC power measurement for a specific date.
+    provider.update_value(sample_forecast_start, "pvforecastakkudoktor_ac_power_measured", 1000)
+    # Check wether first record was filled with ac power measurement
+    assert provider[0].pvforecastakkudoktor_ac_power_measured == 1000
+
+    # Test fetching temperature forecast for a specific date.
+    other_end_datetime = other_start_datetime + to_duration("24 hours")
+    expected_end_datetime = to_datetime("2024-10-07T00:00:00+0200", in_timezone=other_timezone)
+    assert compare_datetimes(other_end_datetime, expected_end_datetime).equal
+    forecast_temps = provider.key_to_series(
+        "pvforecastakkudoktor_temp_air", other_start_datetime, other_end_datetime
+    )
+    assert len(forecast_temps) == 24
+    assert forecast_temps.iloc[0] == 7.0
+    assert forecast_temps.iloc[1] == 6.5
+    assert forecast_temps.iloc[2] == 6.0
+
+    # Test fetching AC power forecast
+    other_end_datetime = other_start_datetime + to_duration("48 hours")
+    forecast_measured = provider.key_to_series(
+        "pvforecastakkudoktor_ac_power_measured", other_start_datetime, other_end_datetime
+    )
+    assert len(forecast_measured) == 48
+    assert forecast_measured.iloc[0] == 1000.0  # changed before
diff --git a/tests/test_pvforecastimport.py b/tests/test_pvforecastimport.py
new file mode 100644
index 0000000..fedde6d
--- /dev/null
+++ b/tests/test_pvforecastimport.py
@@ -0,0 +1,110 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.pvforecastimport import PVForecastImport
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime
+
+DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
+
+FILE_TESTDATA_PVFORECASTIMPORT_1_JSON = DIR_TESTDATA.joinpath("import_input_1.json")
+
+config_eos = get_config()
+ems_eos = get_ems()
+
+
+@pytest.fixture
+def pvforecast_provider(reset_config, sample_import_1_json):
+    """Fixture to create a PVForecastProvider instance."""
+    settings = {
+        "pvforecast_provider": "PVForecastImport",
+        "pvforecastimport_file_path": str(FILE_TESTDATA_PVFORECASTIMPORT_1_JSON),
+        "pvforecastimport_json": json.dumps(sample_import_1_json),
+    }
+    config_eos.merge_settings_from_dict(settings)
+    provider = PVForecastImport()
+    assert provider.enabled() == True
+    return provider
+
+
+@pytest.fixture
+def sample_import_1_json():
+    """Fixture that returns sample forecast data report."""
+    with open(FILE_TESTDATA_PVFORECASTIMPORT_1_JSON, "r") as f_res:
+        input_data = json.load(f_res)
+    return input_data
+
+
+# ------------------------------------------------
+# General forecast
+# ------------------------------------------------
+
+
+def test_singleton_instance(pvforecast_provider):
+    """Test that PVForecastForecast behaves as a singleton."""
+    another_instance = PVForecastImport()
+    assert pvforecast_provider is another_instance
+
+
+def test_invalid_provider(pvforecast_provider):
+    """Test requesting an unsupported pvforecast_provider."""
+    settings = {
+        "pvforecast_provider": "<invalid>",
+        "pvforecastimport_file_path": str(FILE_TESTDATA_PVFORECASTIMPORT_1_JSON),
+    }
+    config_eos.merge_settings_from_dict(settings)
+    assert pvforecast_provider.enabled() == False
+
+
+# ------------------------------------------------
+# Import
+# ------------------------------------------------
+
+
+@pytest.mark.parametrize(
+    "start_datetime, from_file",
+    [
+        ("2024-11-10 00:00:00", True),  # No DST in Germany
+        ("2024-08-10 00:00:00", True),  # DST in Germany
+        ("2024-03-31 00:00:00", True),  # DST change in Germany (23 hours/ day)
+        ("2024-10-27 00:00:00", True),  # DST change in Germany (25 hours/ day)
+        ("2024-11-10 00:00:00", False),  # No DST in Germany
+        ("2024-08-10 00:00:00", False),  # DST in Germany
+        ("2024-03-31 00:00:00", False),  # DST change in Germany (23 hours/ day)
+        ("2024-10-27 00:00:00", False),  # DST change in Germany (25 hours/ day)
+    ],
+)
+def test_import(pvforecast_provider, sample_import_1_json, start_datetime, from_file):
+    """Test fetching forecast from import."""
+    ems_eos.start_datetime = to_datetime(start_datetime, in_timezone="Europe/Berlin")
+    if from_file:
+        config_eos.pvforecastimport_json = None
+        assert config_eos.pvforecastimport_json is None
+    else:
+        config_eos.pvforecastimport_file_path = None
+        assert config_eos.pvforecastimport_file_path is None
+    pvforecast_provider.clear()
+
+    # Call the method
+    pvforecast_provider.update_data()
+
+    # Assert: Verify the result is as expected
+    assert pvforecast_provider.start_datetime is not None
+    assert pvforecast_provider.total_hours is not None
+    assert compare_datetimes(pvforecast_provider.start_datetime, ems_eos.start_datetime).equal
+    values = sample_import_1_json["pvforecast_ac_power"]
+    value_datetime_mapping = pvforecast_provider.import_datetimes(len(values))
+    for i, mapping in enumerate(value_datetime_mapping):
+        assert i < len(pvforecast_provider.records)
+        expected_datetime, expected_value_index = mapping
+        expected_value = values[expected_value_index]
+        result_datetime = pvforecast_provider.records[i].date_time
+        result_value = pvforecast_provider.records[i]["pvforecast_ac_power"]
+
+        # print(f"{i}: Expected: {expected_datetime}:{expected_value}")
+        # print(f"{i}:   Result: {result_datetime}:{result_value}")
+        assert compare_datetimes(result_datetime, expected_datetime).equal
+        assert result_value == expected_value
diff --git a/tests/testdata/import_input_1.json b/tests/testdata/import_input_1.json
new file mode 100644
index 0000000..7672ffd
--- /dev/null
+++ b/tests/testdata/import_input_1.json
@@ -0,0 +1,30 @@
+{
+    "load0_mean": [
+      676.71, 876.19, 527.13, 468.88, 531.38, 517.95, 483.15, 472.28, 1011.68, 995.00,
+      1053.07, 1063.91, 1320.56, 1132.03, 1163.67, 1176.82, 1216.22, 1103.78, 1129.12,
+      1178.71, 1050.98, 988.56, 912.38, 704.61, 516.37, 868.05, 694.34, 608.79, 556.31,
+      488.89, 506.91, 804.89, 1141.98, 1056.97, 992.46, 1155.99, 827.01, 1257.98, 1232.67,
+      871.26, 860.88, 1158.03, 1222.72, 1221.04, 949.99, 987.01, 733.99, 592.97
+    ],
+    "elecprice_marketprice": [
+      0.3384, 0.3318, 0.3284, 0.3283, 0.3289, 0.3334, 0.3290,
+      0.3302, 0.3042, 0.2430, 0.2280, 0.2212, 0.2093, 0.1879,
+      0.1838, 0.2004, 0.2198, 0.2270, 0.2997, 0.3195, 0.3081,
+      0.2969, 0.2921, 0.2780, 0.3384, 0.3318, 0.3284, 0.3283,
+      0.3289, 0.3334, 0.3290, 0.3302, 0.3042, 0.2430, 0.2280,
+      0.2212, 0.2093, 0.1879, 0.1838, 0.2004, 0.2198, 0.2270,
+      0.2997, 0.3195, 0.3081, 0.2969, 0.2921, 0.2780
+    ],
+    "pvforecast_ac_power": [
+      0, 0, 0, 0, 0, 0, 0, 8.05, 352.91, 728.51, 930.28, 1043.25, 1106.74, 1161.69,
+      6018.82, 5519.07, 3969.88, 3017.96, 1943.07, 1007.17, 319.67, 7.88, 0, 0, 0, 0,
+      0, 0, 0, 0, 0, 5.04, 335.59, 705.32, 1121.12, 1604.79, 2157.38, 1433.25, 5718.49,
+      4553.96, 3027.55, 2574.46, 1720.4, 963.4, 383.3, 0, 0, 0
+    ],
+    "weather_temp_air": [
+      18.3, 17.8, 16.9, 16.2, 15.6, 15.1, 14.6, 14.2, 14.3, 14.8, 15.7, 16.7,
+      17.4, 18.0, 18.6, 19.2, 19.1, 18.7, 18.5, 17.7, 16.2, 14.6, 13.6, 13.0,
+      12.6, 12.2, 11.7, 11.6, 11.3, 11.0, 10.7, 10.2, 11.4, 14.4, 16.4, 18.3,
+      19.5, 20.7, 21.9, 22.7, 23.1, 23.1, 22.8, 21.8, 20.2, 19.1, 18.0, 17.4
+    ]
+}

From d2e98d73b3fb11c300721ff528353a7f21fc0407 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Fri, 1 Nov 2024 10:00:22 +0100
Subject: [PATCH 09/19] Add weather forecast to prediction submodule.

The modules provide classes and methods to retrieve, manage, and process weather forecast data
from various sources. Includes are structured representations of weather data and utilities
for fetching forecasts for specific locations and time ranges.

BrightSky and ClearOutside are currently supported.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 requirements.txt                              |     1 +
 src/akkudoktoreos/prediction/weather.py       |    13 +
 src/akkudoktoreos/prediction/weatherabc.py    |   198 +
 .../prediction/weatherbrightsky.py            |   229 +
 .../prediction/weatherclearoutside.py         |   342 +
 src/akkudoktoreos/prediction/weatherimport.py |    65 +
 tests/test_weatherbrightsky.py                |   193 +
 tests/test_weatherclearoutside.py             |   569 +
 tests/test_weatherimport.py                   |   110 +
 .../testdata/weatherforecast_brightsky_1.json | 10592 ++++++++++++++++
 .../testdata/weatherforecast_brightsky_2.json |   340 +
 .../testdata/weatherforecast_clearout_1.html  |  2221 ++++
 .../testdata/weatherforecast_clearout_1.json  |     1 +
 13 files changed, 14874 insertions(+)
 create mode 100644 src/akkudoktoreos/prediction/weather.py
 create mode 100644 src/akkudoktoreos/prediction/weatherabc.py
 create mode 100644 src/akkudoktoreos/prediction/weatherbrightsky.py
 create mode 100644 src/akkudoktoreos/prediction/weatherclearoutside.py
 create mode 100644 src/akkudoktoreos/prediction/weatherimport.py
 create mode 100644 tests/test_weatherbrightsky.py
 create mode 100644 tests/test_weatherclearoutside.py
 create mode 100644 tests/test_weatherimport.py
 create mode 100644 tests/testdata/weatherforecast_brightsky_1.json
 create mode 100644 tests/testdata/weatherforecast_brightsky_2.json
 create mode 100644 tests/testdata/weatherforecast_clearout_1.html
 create mode 100644 tests/testdata/weatherforecast_clearout_1.json

diff --git a/requirements.txt b/requirements.txt
index dfa8dea..a58180f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -10,4 +10,5 @@ requests==2.32.3
 pandas==2.2.3
 pendulum==3.0.0
 platformdirs==4.3.6
+pvlib==0.11.1
 pydantic==2.10.1
diff --git a/src/akkudoktoreos/prediction/weather.py b/src/akkudoktoreos/prediction/weather.py
new file mode 100644
index 0000000..ca28d8d
--- /dev/null
+++ b/src/akkudoktoreos/prediction/weather.py
@@ -0,0 +1,13 @@
+"""Weather forecast module for weather predictions."""
+
+from typing import Optional
+
+from pydantic import Field
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+
+
+class WeatherCommonSettings(SettingsBaseModel):
+    weather_provider: Optional[str] = Field(
+        default="ClearOutside", description="Weather provider id of provider to be used."
+    )
diff --git a/src/akkudoktoreos/prediction/weatherabc.py b/src/akkudoktoreos/prediction/weatherabc.py
new file mode 100644
index 0000000..3c31949
--- /dev/null
+++ b/src/akkudoktoreos/prediction/weatherabc.py
@@ -0,0 +1,198 @@
+"""Abstract and base classes for weather predictions.
+
+Notes:
+    - Supported weather sources can be expanded by adding new fetch methods within the
+      WeatherForecast class.
+    - Ensure appropriate API keys or configurations are set up if required by external data sources.
+"""
+
+from abc import abstractmethod
+from typing import List, Optional
+
+import numpy as np
+import pandas as pd
+import pvlib
+from pydantic import Field
+
+from akkudoktoreos.prediction.predictionabc import PredictionProvider, PredictionRecord
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class WeatherDataRecord(PredictionRecord):
+    """Represents a weather data record containing various weather attributes at a specific datetime.
+
+    Attributes:
+        date_time (Optional[AwareDatetime]): The datetime of the record.
+        total_clouds (Optional[float]): Total cloud cover as a percentage of the sky obscured.
+        low_clouds (Optional[float]): Cloud cover in the lower atmosphere (% sky obscured).
+        medium_clouds (Optional[float]): Cloud cover in the middle atmosphere (% sky obscured).
+        high_clouds (Optional[float]): Cloud cover in the upper atmosphere (% sky obscured).
+        visibility (Optional[float]): Horizontal visibility in meters.
+        fog (Optional[float]): Fog cover percentage.
+        precip_type (Optional[str]): Type of precipitation (e.g., "rain", "snow").
+        precip_prob (Optional[float]): Probability of precipitation as a percentage.
+        precip_amt (Optional[float]): Precipitation amount in millimeters.
+        preciptable_water (Optional[float]): Precipitable water in centimeters.
+        wind_speed (Optional[float]): Wind speed in kilometers per hour.
+        wind_direction (Optional[float]): Wind direction in degrees (0-360°).
+        frost_chance (Optional[str]): Probability of frost.
+        temp_air (Optional[float]): Air temperature in degrees Celsius.
+        feels_like (Optional[float]): Feels-like temperature in degrees Celsius.
+        dew_point (Optional[float]): Dew point in degrees Celsius.
+        relative_humidity (Optional[float]): Relative humidity in percentage.
+        pressure (Optional[float]): Atmospheric pressure in millibars.
+        ozone (Optional[float]): Ozone concentration in Dobson units.
+        ghi (Optional[float]): Global Horizontal Irradiance in watts per square meter (W/m²).
+        dni (Optional[float]): Direct Normal Irradiance in watts per square meter (W/m²).
+        dhi (Optional[float]): Diffuse Horizontal Irradiance in watts per square meter (W/m²).
+    """
+
+    weather_total_clouds: Optional[float] = Field(
+        default=None, description="Total Clouds (% Sky Obscured)"
+    )
+    weather_low_clouds: Optional[float] = Field(
+        default=None, description="Low Clouds (% Sky Obscured)"
+    )
+    weather_medium_clouds: Optional[float] = Field(
+        None, description="Medium Clouds (% Sky Obscured)"
+    )
+    weather_high_clouds: Optional[float] = Field(
+        default=None, description="High Clouds (% Sky Obscured)"
+    )
+    weather_visibility: Optional[float] = Field(default=None, description="Visibility (m)")
+    weather_fog: Optional[float] = Field(default=None, description="Fog (%)")
+    weather_precip_type: Optional[str] = Field(default=None, description="Precipitation Type")
+    weather_precip_prob: Optional[float] = Field(
+        default=None, description="Precipitation Probability (%)"
+    )
+    weather_precip_amt: Optional[float] = Field(
+        default=None, description="Precipitation Amount (mm)"
+    )
+    weather_preciptable_water: Optional[float] = Field(
+        default=None, description="Precipitable Water (cm)"
+    )
+    weather_wind_speed: Optional[float] = Field(default=None, description="Wind Speed (kmph)")
+    weather_wind_direction: Optional[float] = Field(default=None, description="Wind Direction (°)")
+    weather_frost_chance: Optional[str] = Field(default=None, description="Chance of Frost")
+    weather_temp_air: Optional[float] = Field(default=None, description="Temperature (°C)")
+    weather_feels_like: Optional[float] = Field(default=None, description="Feels Like (°C)")
+    weather_dew_point: Optional[float] = Field(default=None, description="Dew Point (°C)")
+    weather_relative_humidity: Optional[float] = Field(
+        default=None, description="Relative Humidity (%)"
+    )
+    weather_pressure: Optional[float] = Field(default=None, description="Pressure (mb)")
+    weather_ozone: Optional[float] = Field(default=None, description="Ozone (du)")
+    weather_ghi: Optional[float] = Field(
+        default=None, description="Global Horizontal Irradiance (W/m2)"
+    )
+    weather_dni: Optional[float] = Field(
+        default=None, description="Direct Normal Irradiance (W/m2)"
+    )
+    weather_dhi: Optional[float] = Field(
+        default=None, description="Diffuse Horizontal Irradiance (W/m2)"
+    )
+
+
+class WeatherProvider(PredictionProvider):
+    """Abstract base class for weather providers.
+
+    WeatherProvider is a thread-safe singleton, ensuring only one instance of this class is created.
+
+    Configuration variables:
+        weather_provider (str): Prediction provider for weather.
+
+    Attributes:
+        prediction_hours (int, optional): The number of hours into the future for which predictions are generated.
+        prediction_historic_hours (int, optional): The number of past hours for which historical data is retained.
+        latitude (float, optional): The latitude in degrees, must be within -90 to 90.
+        longitude (float, optional): The longitude in degrees, must be within -180 to 180.
+        start_datetime (datetime, optional): The starting datetime for predictions, defaults to the current datetime if unspecified.
+        end_datetime (datetime, computed): The datetime representing the end of the prediction range,
+            calculated based on `start_datetime` and `prediction_hours`.
+        keep_datetime (datetime, computed): The earliest datetime for retaining historical data, calculated
+            based on `start_datetime` and `prediction_historic_hours`.
+    """
+
+    # overload
+    records: List[WeatherDataRecord] = Field(
+        default_factory=list, description="List of WeatherDataRecord records"
+    )
+
+    @classmethod
+    @abstractmethod
+    def provider_id(cls) -> str:
+        return "WeatherProvider"
+
+    def enabled(self) -> bool:
+        return True if self.provider_id() == self.config.weather_provider else False
+
+    @classmethod
+    def estimate_irradiance_from_cloud_cover(
+        cls, lat: float, lon: float, cloud_cover: pd.Series, offset: int = 35
+    ) -> tuple:
+        """Estimates irradiance values (GHI, DNI, DHI) based on cloud cover.
+
+        This method estimates solar irradiance in several steps:
+        1. **Clear Sky GHI Calculation**: Determines the Global Horizontal Irradiance (GHI) under clear sky conditions using the Ineichen model and climatological turbidity data.
+        2. **Cloudy Sky GHI Estimation**: Adjusts the clear sky GHI based on the provided cloud cover percentage to estimate cloudy sky GHI.
+        3. **Direct Normal Irradiance (DNI) Estimation**: Uses the DISC model to estimate the DNI from the adjusted GHI.
+        4. **Diffuse Horizontal Irradiance (DHI) Calculation**: Computes DHI from the estimated GHI and DNI values.
+
+        Args:
+            lat (float): Latitude of the location for irradiance estimation.
+            lon (float): Longitude of the location for irradiance estimation.
+            cloud_cover (pd.Series): Series of cloud cover values (0-100%) indexed by datetime.
+            offset (Optional[sint]): Baseline for GHI adjustment as a percentage (default is 35).
+
+        Returns:
+            tuple: Lists of estimated irradiance values in the order of GHI, DNI, and DHI.
+
+        Note:
+            This method is based on the implementation from PVLib and is adapted from
+            https://github.com/davidusb-geek/emhass/blob/master/src/emhass/forecast.py (MIT License).
+        """
+        # Adjust offset percentage to scaling factor
+        offset_fraction = offset / 100.0
+
+        # Get cloud cover datetimes
+        cloud_cover_times = cloud_cover.index
+
+        # Create a location object
+        location = pvlib.location.Location(latitude=lat, longitude=lon)
+
+        # Get solar position and clear-sky GHI using the Ineichen model
+        solpos = location.get_solarposition(cloud_cover_times)
+        clear_sky = location.get_clearsky(cloud_cover_times, model="ineichen")
+
+        # Convert cloud cover percentage to a scaling factor
+        cloud_cover_fraction = np.array(cloud_cover) / 100.0
+
+        # Calculate adjusted GHI with proportional offset adjustment
+        adjusted_ghi = clear_sky["ghi"] * (
+            offset_fraction + (1 - offset_fraction) * (1 - cloud_cover_fraction)
+        )
+        adjusted_ghi.fillna(0.0, inplace=True)
+
+        # Apply DISC model to estimate Direct Normal Irradiance (DNI) from adjusted GHI
+        disc_output = pvlib.irradiance.disc(adjusted_ghi, solpos["zenith"], cloud_cover_times)
+        adjusted_dni = disc_output["dni"]
+        adjusted_dni.fillna(0.0, inplace=True)
+
+        # Calculate Diffuse Horizontal Irradiance (DHI) as DHI = GHI - DNI * cos(zenith)
+        zenith_rad = np.radians(solpos["zenith"])
+        adjusted_dhi = adjusted_ghi - adjusted_dni * np.cos(zenith_rad)
+        adjusted_dhi.fillna(0.0, inplace=True)
+
+        # Return GHI, DNI, DHI lists
+        ghi = adjusted_ghi.to_list()
+        dni = adjusted_dni.to_list()
+        dhi = adjusted_dhi.to_list()
+        return ghi, dni, dhi
+
+    @classmethod
+    def estimate_preciptable_water(
+        cls, temperature: pd.Series, relative_humidity: pd.Series
+    ) -> pd.Series:
+        return pvlib.atmosphere.gueymard94_pw(temperature, relative_humidity)
diff --git a/src/akkudoktoreos/prediction/weatherbrightsky.py b/src/akkudoktoreos/prediction/weatherbrightsky.py
new file mode 100644
index 0000000..8afdb5a
--- /dev/null
+++ b/src/akkudoktoreos/prediction/weatherbrightsky.py
@@ -0,0 +1,229 @@
+"""Retrieves and processes weather forecast data from BrightSky.
+
+This module provides classes and mappings to manage weather data obtained from the
+BrightSky API, including support for various weather attributes such as temperature,
+humidity, cloud cover, and solar irradiance. The data is mapped to the `WeatherDataRecord`
+format, enabling consistent access to forecasted and historical weather attributes.
+"""
+
+import json
+from typing import Dict, List, Optional, Tuple
+
+import pandas as pd
+import pvlib
+import requests
+
+from akkudoktoreos.prediction.weatherabc import WeatherDataRecord, WeatherProvider
+from akkudoktoreos.utils.cacheutil import cache_in_file
+from akkudoktoreos.utils.datetimeutil import to_datetime
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+WheaterDataBrightSkyMapping: List[Tuple[str, Optional[str], Optional[float]]] = [
+    # brightsky_key, description, corr_factor
+    ("timestamp", "DateTime", None),
+    ("precipitation", "Precipitation Amount (mm)", 1),
+    ("pressure_msl", "Pressure (mb)", 1),
+    ("sunshine", None, None),
+    ("temperature", "Temperature (°C)", 1),
+    ("wind_direction", "Wind Direction (°)", 1),
+    ("wind_speed", "Wind Speed (kmph)", 1),
+    ("cloud_cover", "Total Clouds (% Sky Obscured)", 1),
+    ("dew_point", "Dew Point (°C)", 1),
+    ("relative_humidity", "Relative Humidity (%)", 1),
+    ("visibility", "Visibility (m)", 1),
+    ("wind_gust_direction", None, None),
+    ("wind_gust_speed", None, None),
+    ("condition", None, None),
+    ("precipitation_probability", "Precipitation Probability (%)", 1),
+    ("precipitation_probability_6h", None, None),
+    ("solar", "Global Horizontal Irradiance (W/m2)", 1000),
+    ("fallback_source_ids", None, None),
+    ("icon", None, None),
+]
+"""Mapping of BrightSky weather data keys to WeatherDataRecord field descriptions.
+
+Each tuple represents a field in the BrightSky data, with:
+    - The BrightSky field key,
+    - The corresponding `WeatherDataRecord` description, if applicable,
+    - A correction factor for unit or value scaling.
+Fields without descriptions or correction factors are mapped to `None`.
+"""
+
+
+class WeatherBrightSky(WeatherProvider):
+    """Fetch and process weather forecast data from BrightSky.
+
+    WeatherBrightSky is a singleton-based class that retrieves weather forecast data
+    from the BrightSky API and maps it to `WeatherDataRecord` fields, applying
+    any necessary scaling or unit corrections. It manages the forecast over a range
+    of hours into the future and retains historical data.
+
+    Attributes:
+        prediction_hours (int, optional): Number of hours in the future for the forecast.
+        prediction_historic_hours (int, optional): Number of past hours for retaining data.
+        latitude (float, optional): The latitude in degrees, validated to be between -90 and 90.
+        longitude (float, optional): The longitude in degrees, validated to be between -180 and 180.
+        start_datetime (datetime, optional): Start datetime for forecasts, defaults to the current datetime.
+        end_datetime (datetime, computed): The forecast's end datetime, computed based on `start_datetime` and `prediction_hours`.
+        keep_datetime (datetime, computed): The datetime to retain historical data, computed from `start_datetime` and `prediction_historic_hours`.
+
+    Methods:
+        provider_id(): Returns a unique identifier for the provider.
+        _request_forecast(): Fetches the forecast from the BrightSky API.
+        _update_data(): Processes and updates forecast data from BrightSky in WeatherDataRecord format.
+    """
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the BrightSky provider."""
+        return "BrightSky"
+
+    @cache_in_file(with_ttl="1 hour")
+    def _request_forecast(self) -> dict:
+        """Fetch weather forecast data from BrightSky API.
+
+        This method sends a request to BrightSky's API to retrieve forecast data
+        for a specified date range and location. The response data is parsed and
+        returned as JSON for further processing.
+
+        Returns:
+            dict: The parsed JSON response from BrightSky API containing forecast data.
+
+        Raises:
+            ValueError: If the API response does not include expected `weather` data.
+        """
+        source = "https://api.brightsky.dev"
+        date = to_datetime(self.start_datetime, as_string="%Y-%m-%d")
+        last_date = to_datetime(self.end_datetime, as_string="%Y-%m-%d")
+        response = requests.get(
+            f"{source}/weather?lat={self.config.latitude}&lon={self.config.longitude}&date={date}&last_date={last_date}&tz={self.config.timezone}"
+        )
+        response.raise_for_status()  # Raise an error for bad responses
+        logger.debug(f"Response from {source}: {response}")
+        brightsky_data = json.loads(response.content)
+        if "weather" not in brightsky_data:
+            error_msg = f"BrightSky schema change. `wheather`expected to be part of BrightSky data: {brightsky_data}."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+        # We are working on fresh data (no cache), report update time
+        self.update_datetime = to_datetime(in_timezone=self.config.timezone)
+        return brightsky_data
+
+    def _description_to_series(self, description: str) -> pd.Series:
+        """Retrieve a pandas Series corresponding to a weather data description.
+
+        This method fetches the key associated with the provided description
+        and retrieves the data series mapped to that key. If the description
+        does not correspond to a valid key, a `ValueError` is raised.
+
+        Args:
+            description (str): The description of the WeatherDataRecord to retrieve.
+
+        Returns:
+            pd.Series: The data series corresponding to the description.
+
+        Raises:
+            ValueError: If no key is found for the provided description.
+        """
+        key = WeatherDataRecord.key_from_description(description)
+        if key is None:
+            error_msg = f"No WeatherDataRecord key for '{description}'"
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+        return self.key_to_series(key)
+
+    def _description_from_series(self, description: str, data: pd.Series) -> None:
+        """Update a weather data with a pandas Series based on its description.
+
+        This method fetches the key associated with the provided description
+        and updates the weather data with the provided data series. If the description
+        does not correspond to a valid key, a `ValueError` is raised.
+
+        Args:
+            description (str): The description of the weather data to update.
+            data (pd.Series): The pandas Series containing the data to update.
+
+        Raises:
+            ValueError: If no key is found for the provided description.
+        """
+        key = WeatherDataRecord.key_from_description(description)
+        if key is None:
+            error_msg = f"No WeatherDataRecord key for '{description}'"
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+        self.key_from_series(key, data)
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        """Update forecast data in the WeatherDataRecord format.
+
+        Retrieves data from BrightSky, maps each BrightSky field to the corresponding
+        `WeatherDataRecord` attribute using `WheaterDataBrightSkyMapping`, and applies
+        any necessary scaling. Forecast data such as cloud cover, temperature, and
+        humidity is further processed to estimate solar irradiance and precipitable water.
+
+        The final mapped and processed data is inserted into the sequence as `WeatherDataRecord`.
+        """
+        # Get BrightSky weather data for the given coordinates
+        brightsky_data = self._request_forecast(force_update=force_update)  # type: ignore
+
+        # Get key mapping from description
+        brightsky_key_mapping: Dict[str, Tuple[Optional[str], Optional[float]]] = {}
+        for brightsky_key, description, corr_factor in WheaterDataBrightSkyMapping:
+            if description is None:
+                brightsky_key_mapping[brightsky_key] = (None, None)
+                continue
+            weatherdata_key = WeatherDataRecord.key_from_description(description)
+            if weatherdata_key is None:
+                # Should not happen
+                error_msg = "No WeatherDataRecord key for 'description'"
+                logger.error(error_msg)
+                raise ValueError(error_msg)
+            brightsky_key_mapping[brightsky_key] = (weatherdata_key, corr_factor)
+
+        for brightsky_record in brightsky_data["weather"]:
+            weather_record = WeatherDataRecord()
+            for brightsky_key, item in brightsky_key_mapping.items():
+                key = item[0]
+                if key is None:
+                    continue
+                value = brightsky_record[brightsky_key]
+                corr_factor = item[1]
+                if value and corr_factor:
+                    value = value * corr_factor
+                setattr(weather_record, key, value)
+            self.insert_by_datetime(weather_record)
+
+        # Converting the cloud cover into Irradiance (GHI, DNI, DHI)
+        description = "Total Clouds (% Sky Obscured)"
+        cloud_cover = self._description_to_series(description)
+        ghi, dni, dhi = self.estimate_irradiance_from_cloud_cover(
+            self.config.latitude, self.config.longitude, cloud_cover
+        )
+
+        description = "Global Horizontal Irradiance (W/m2)"
+        ghi = pd.Series(data=ghi, index=cloud_cover.index)
+        self._description_from_series(description, ghi)
+
+        description = "Direct Normal Irradiance (W/m2)"
+        dni = pd.Series(data=dni, index=cloud_cover.index)
+        self._description_from_series(description, dni)
+
+        description = "Diffuse Horizontal Irradiance (W/m2)"
+        dhi = pd.Series(data=dhi, index=cloud_cover.index)
+        self._description_from_series(description, dhi)
+
+        # Add Preciptable Water (PWAT) with a PVLib method.
+        description = "Temperature (°C)"
+        temperature = self._description_to_series(description)
+
+        description = "Relative Humidity (%)"
+        humidity = self._description_to_series(description)
+
+        pwat = pd.Series(
+            data=pvlib.atmosphere.gueymard94_pw(temperature, humidity), index=temperature.index
+        )
+        description = "Preciptable Water (cm)"
+        self._description_from_series(description, pwat)
diff --git a/src/akkudoktoreos/prediction/weatherclearoutside.py b/src/akkudoktoreos/prediction/weatherclearoutside.py
new file mode 100644
index 0000000..f08e909
--- /dev/null
+++ b/src/akkudoktoreos/prediction/weatherclearoutside.py
@@ -0,0 +1,342 @@
+"""Weather Forecast.
+
+This module provides classes and methods to retrieve, manage, and process weather forecast data
+from various online sources. It includes structured representations of weather data and utilities
+for fetching forecasts for specific locations and time ranges. By integrating multiple data sources,
+the module enables flexible access to weather information based on latitude, longitude, and
+desired time periods.
+
+Notes:
+    - Supported weather sources can be expanded by adding new fetch methods within the
+      WeatherForecast class.
+    - Ensure appropriate API keys or configurations are set up if required by external data sources.
+"""
+
+import re
+from typing import Dict, List, Optional, Tuple
+
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+
+from akkudoktoreos.prediction.weatherabc import WeatherDataRecord, WeatherProvider
+from akkudoktoreos.utils.cacheutil import cache_in_file
+from akkudoktoreos.utils.datetimeutil import to_datetime, to_duration, to_timezone
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+WheaterDataClearOutsideMapping: List[Tuple[str, Optional[str], Optional[float]]] = [
+    # clearoutside_key, description, corr_factor
+    ("DateTime", "DateTime", None),
+    ("Total Clouds (% Sky Obscured)", "Total Clouds (% Sky Obscured)", 1),
+    ("Low Clouds (% Sky Obscured)", "Low Clouds (% Sky Obscured)", 1),
+    ("Medium Clouds (% Sky Obscured)", "Medium Clouds (% Sky Obscured)", 1),
+    ("High Clouds (% Sky Obscured)", "High Clouds (% Sky Obscured)", 1),
+    ("ISS Passover", None, None),
+    ("Visibility (miles)", "Visibility (m)", 1609.34),
+    ("Fog (%)", "Fog (%)", 1),
+    ("Precipitation Type", "Precipitation Type", None),
+    ("Precipitation Probability (%)", "Precipitation Probability (%)", 1),
+    ("Precipitation Amount (mm)", "Precipitation Amount (mm)", 1),
+    ("Wind Speed (mph)", "Wind Speed (kmph)", 1.60934),
+    ("Chance of Frost", "Chance of Frost", None),
+    ("Temperature (°C)", "Temperature (°C)", 1),
+    ("Feels Like (°C)", "Feels Like (°C)", 1),
+    ("Dew Point (°C)", "Dew Point (°C)", 1),
+    ("Relative Humidity (%)", "Relative Humidity (%)", 1),
+    ("Pressure (mb)", "Pressure (mb)", 1),
+    ("Ozone (du)", "Ozone (du)", 1),
+    # Extra extraction
+    ("Wind Direction (°)", "Wind Direction (°)", 1),
+    # Generated from above
+    ("Preciptable Water (cm)", "Preciptable Water (cm)", 1),
+    ("Global Horizontal Irradiance (W/m2)", "Global Horizontal Irradiance (W/m2)", 1),
+    ("Direct Normal Irradiance (W/m2)", "Direct Normal Irradiance (W/m2)", 1),
+    ("Diffuse Horizontal Irradiance (W/m2)", "Diffuse Horizontal Irradiance (W/m2)", 1),
+]
+"""Mapping of ClearOutside weather data keys to WeatherDataRecord field description.
+
+A list of tuples: (ClearOutside key, field description, correction factor).
+"""
+
+
+class WeatherClearOutside(WeatherProvider):
+    """Retrieves and processes weather forecast data from ClearOutside.
+
+    WeatherClearOutside is a thread-safe singleton, ensuring only one instance of this class is created.
+
+    Attributes:
+        prediction_hours (int, optional): The number of hours into the future for which predictions are generated.
+        prediction_historic_hours (int, optional): The number of past hours for which historical data is retained.
+        latitude (float, optional): The latitude in degrees, must be within -90 to 90.
+        longitude (float, optional): The longitude in degrees, must be within -180 to 180.
+        start_datetime (datetime, optional): The starting datetime for predictions, defaults to the current datetime if unspecified.
+        end_datetime (datetime, computed): The datetime representing the end of the prediction range,
+            calculated based on `start_datetime` and `prediction_hours`.
+        keep_datetime (datetime, computed): The earliest datetime for retaining historical data, calculated
+            based on `start_datetime` and `prediction_historic_hours`.
+    """
+
+    @classmethod
+    def provider_id(cls) -> str:
+        return "ClearOutside"
+
+    @cache_in_file(with_ttl="1 hour")
+    def _request_forecast(self) -> requests.Response:
+        """Requests weather forecast from ClearOutside.
+
+        Returns:
+            response: Weather forecast request reponse from ClearOutside.
+        """
+        source = "https://clearoutside.com/forecast"
+        latitude = round(self.config.latitude, 2)
+        longitude = round(self.config.longitude, 2)
+        response = requests.get(f"{source}/{latitude}/{longitude}?desktop=true")
+        response.raise_for_status()  # Raise an error for bad responses
+        logger.debug(f"Response from {source}: {response}")
+        # We are working on fresh data (no cache), report update time
+        self.update_datetime = to_datetime(in_timezone=self.config.timezone)
+        return response
+
+    def _update_data(self, force_update: Optional[bool] = None) -> None:
+        """Scrape weather forecast data from ClearOutside's website.
+
+        This method requests weather forecast data from ClearOutside based on latitude
+        and longitude, then processes and structures this data for further use in analysis.
+
+        The forecast data includes a variety of weather parameters such as cloud cover, temperature,
+        humidity, visibility, precipitation, wind speed, and additional irradiance values
+        calculated using the cloud cover data.
+
+        Raises:
+            ValueError: If the HTML structure of ClearOutside's website changes, causing
+            extraction issues with forecast dates, timezone, or expected data sections.
+
+        Note:
+            - The function partly builds on code from https://github.com/davidusb-geek/emhass/blob/master/src/emhass/forecast.py (MIT License).
+            - Uses `pvlib` to estimate irradiance (GHI, DNI, DHI) based on cloud cover data.
+
+        Workflow:
+            1. **Retrieve Web Content**: Uses a helper method to fetch or retrieve cached ClearOutside HTML content.
+            2. **Extract Forecast Date and Timezone**:
+                - Parses the forecast's start and end dates and the UTC offset from the "Generated" header.
+            3. **Extract Weather Data**:
+                - For each day in the 7-day forecast, the function finds detailed weather parameters
+                and associates values for each hour.
+                - Parameters include cloud cover, temperature, humidity, visibility, and precipitation type, among others.
+            4. **Irradiance Calculation**:
+                - Calculates irradiance (GHI, DNI, DHI) values using cloud cover data and the `pvlib` library.
+            5. **Store Data**:
+                - Combines all hourly data into `WeatherDataRecord` objects, with keys
+                standardized according to `WeatherDataRecord` attributes.
+        """
+        # Get ClearOutside web content - either from site or cached
+        response = self._request_forecast(force_update=force_update)  # type: ignore
+
+        # Scrape the data
+        soup = BeautifulSoup(response.content, "html.parser")
+
+        # Find generation data
+        p_generated = soup.find("h2", string=lambda text: text and text.startswith("Generated:"))
+        if not p_generated:
+            error_msg = f"Clearoutside schema change. Could not get '<h2>Generated:', got {p_generated} from {str(response.content)}."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+        # Extract forecast start and end dates
+        forecast_pattern = r"Forecast: (\d{2}/\d{2}/\d{2}) to (\d{2}/\d{2}/\d{2})"
+        forecast_match = re.search(forecast_pattern, p_generated.get_text())
+        if forecast_match:
+            forecast_start_date = forecast_match.group(1)
+            forecast_end_date = forecast_match.group(2)
+        else:
+            error_msg = f"Clearoutside schema change. Could not extract forecast start and end dates from {p_generated}."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+        # Extract timezone offset
+        timezone_pattern = r"Timezone: UTC([+-]\d+)\.(\d+)"
+        timezone_match = re.search(timezone_pattern, p_generated.get_text())
+        if timezone_match:
+            hours = int(timezone_match.group(1))
+            # Convert the decimal part to minutes (e.g., .50 -> 30 minutes)
+            minutes = int(timezone_match.group(2)) * 6  # Multiply by 6 to convert to minutes
+
+            # Create the timezone object using offset
+            utc_offset = float(hours) + float(minutes) / 60.0
+            forecast_timezone = to_timezone(utc_offset=utc_offset)
+        else:
+            error_msg = "Clearoutside schema change. Could not extract forecast timezone."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+        forecast_start_datetime = to_datetime(
+            forecast_start_date, in_timezone=forecast_timezone, to_maxtime=False
+        )
+
+        # Get key mapping from description
+        clearoutside_key_mapping: Dict[str, Tuple[Optional[str], Optional[float]]] = {}
+        for clearoutside_key, description, corr_factor in WheaterDataClearOutsideMapping:
+            if description is None:
+                clearoutside_key_mapping[clearoutside_key] = (None, None)
+                continue
+            weatherdata_key = WeatherDataRecord.key_from_description(description)
+            if weatherdata_key is None:
+                # Should not happen
+                error_msg = f"No WeatherDataRecord key for '{description}'"
+                logger.error(error_msg)
+                raise ValueError(error_msg)
+            clearoutside_key_mapping[clearoutside_key] = (weatherdata_key, corr_factor)
+
+        # Find all paragraphs with id 'day_<x>'. There should be seven.
+        p_days = soup.find_all(id=re.compile(r"day_[0-9]"))
+        if len(p_days) != 7:
+            error_msg = f"Clearoutside schema change. Found {len(p_days)} day tables, expected 7."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+        # Delete all records that will be newly added
+        self.delete_by_datetime(start_datetime=forecast_start_datetime)
+
+        # Collect weather data, loop over all days
+        for day, p_day in enumerate(p_days):
+            # Within day_x paragraph find the details labels
+            p_detail_labels = p_day.find_all(class_="fc_detail_label")
+            detail_names = [p.get_text() for p in p_detail_labels]
+
+            # Check for schema changes
+            if len(detail_names) < 18:
+                error_msg = f"Clearoutside schema change. Unexpected number ({len(detail_names)}) of `fc_detail_label`."
+                logger.error(error_msg)
+                raise ValueError(error_msg)
+            for detail_name in detail_names:
+                if detail_name not in clearoutside_key_mapping:
+                    warning_msg = (
+                        f"Clearoutside schema change. Unexpected detail name {detail_name}."
+                    )
+                    logger.warning(warning_msg)
+
+            # Find all the paragraphs that are associated to the details.
+            # Beware there is one ul paragraph before that is not associated to a detail
+            p_detail_tables = p_day.find_all("ul")
+            if len(p_detail_tables) != len(detail_names) + 1:
+                error_msg = f"Clearoutside schema change. Unexpected number ({p_detail_tables}) of `ul` for details {len(detail_names)}. Should be one extra only."
+                logger.error(error_msg)
+                raise ValueError(error_msg)
+            p_detail_tables.pop(0)
+
+            # Create clearout data
+            clearout_data = {}
+            # Replace some detail names that we use differently
+            detail_names = [
+                s.replace("Wind Speed/Direction (mph)", "Wind Speed (mph)") for s in detail_names
+            ]
+            # Number of detail values. On last day may be less than 24.
+            detail_values_count = None
+            # Add data values
+            scrape_detail_names = detail_names.copy()  # do not change list during iteration!
+            for i, detail_name in enumerate(scrape_detail_names):
+                p_detail_values = p_detail_tables[i].find_all("li")
+
+                # Assure the number of values fits
+                p_detail_values_count = len(p_detail_values)
+                if (day == 6 and p_detail_values_count > 24) or (
+                    day < 6 and p_detail_values_count != 24
+                ):
+                    error_msg = f"Clearoutside schema change. Unexpected number ({p_detail_values_count}) of `li` for detail `{detail_name}` data. Should be 24 or less on day 7. Table is `{p_detail_tables[i]}`."
+                    logger.error(error_msg)
+                    raise ValueError(error_msg)
+                if detail_values_count is None:
+                    # Remember detail values count only once
+                    detail_values_count = p_detail_values_count
+                if p_detail_values_count != detail_values_count:
+                    # Value count for details differ.
+                    error_msg = f"Clearoutside schema change. Number ({p_detail_values_count}) of `li` for detail `{detail_name}` data is different than last one {detail_values_count}. Table is `{p_detail_tables[i]}`."
+                    logger.error(error_msg)
+                    raise ValueError(error_msg)
+
+                # Scrape the detail values
+                detail_data = []
+                extra_detail_name = None
+                extra_detail_data = []
+                for p_detail_value in p_detail_values:
+                    if detail_name == "Wind Speed (mph)":
+                        # Get the  usual value
+                        value_str = p_detail_value.get_text()
+                        # Also extract extra data
+                        extra_detail_name = "Wind Direction (°)"
+                        extra_value = None
+                        match = re.search(r"(\d+)°", str(p_detail_value))
+                        if match:
+                            extra_value = float(match.group(1))
+                        else:
+                            error_msg = f"Clearoutside schema change. Can't extract direction angle from `{p_detail_value}` for detail `{extra_detail_name}`. Table is `{p_detail_tables[i]}`."
+                            logger.error(error_msg)
+                            raise ValueError(error_msg)
+                        extra_detail_data.append(extra_value)
+                    elif (
+                        detail_name in ("Precipitation Type", "Chance of Frost")
+                        and hasattr(p_detail_value, "title")
+                        and p_detail_value.title
+                    ):
+                        value_str = p_detail_value.title.string
+                    else:
+                        value_str = p_detail_value.get_text()
+                    try:
+                        value = float(value_str)
+                    except ValueError:
+                        value = value_str
+                    detail_data.append(value)
+                clearout_data[detail_name] = detail_data
+                if extra_detail_name:
+                    if extra_detail_name not in detail_names:
+                        detail_names.append(extra_detail_name)
+                    clearout_data[extra_detail_name] = extra_detail_data
+                    logger.debug(f"Added extra data {extra_detail_name} with {extra_detail_data}")
+
+            # Add datetimes of the scrapped data
+            clearout_data["DateTime"] = [
+                forecast_start_datetime + to_duration(f"{day} days {i} hours")
+                for i in range(0, detail_values_count)  # type: ignore[arg-type]
+            ]
+            detail_names.append("DateTime")
+
+            # Converting the cloud cover into Irradiance (GHI, DNI, DHI)
+            cloud_cover = pd.Series(
+                data=clearout_data["Total Clouds (% Sky Obscured)"], index=clearout_data["DateTime"]
+            )
+            ghi, dni, dhi = self.estimate_irradiance_from_cloud_cover(
+                self.config.latitude, self.config.longitude, cloud_cover
+            )
+
+            # Add GHI, DNI, DHI to clearout data
+            clearout_data["Global Horizontal Irradiance (W/m2)"] = ghi
+            detail_names.append("Global Horizontal Irradiance (W/m2)")
+            clearout_data["Direct Normal Irradiance (W/m2)"] = dni
+            detail_names.append("Direct Normal Irradiance (W/m2)")
+            clearout_data["Diffuse Horizontal Irradiance (W/m2)"] = dhi
+            detail_names.append("Diffuse Horizontal Irradiance (W/m2)")
+
+            # Add Preciptable Water (PWAT) with a PVLib method.
+            clearout_data["Preciptable Water (cm)"] = self.estimate_preciptable_water(
+                pd.Series(data=clearout_data["Temperature (°C)"]),
+                pd.Series(data=clearout_data["Relative Humidity (%)"]),
+            ).to_list()
+            detail_names.append("Preciptable Water (cm)")
+
+            # Add weather data
+            # Add the records from clearout
+            for row_index in range(0, len(clearout_data["DateTime"])):
+                weather_record = WeatherDataRecord()
+                for detail_name in detail_names:
+                    key = clearoutside_key_mapping[detail_name][0]
+                    if key is None:
+                        continue
+                    if detail_name in clearout_data:
+                        value = clearout_data[detail_name][row_index]
+                        corr_factor = clearoutside_key_mapping[detail_name][1]
+                        if corr_factor:
+                            value = value * corr_factor
+                        setattr(weather_record, key, value)
+                self.insert_by_datetime(weather_record)
diff --git a/src/akkudoktoreos/prediction/weatherimport.py b/src/akkudoktoreos/prediction/weatherimport.py
new file mode 100644
index 0000000..a4f3e8a
--- /dev/null
+++ b/src/akkudoktoreos/prediction/weatherimport.py
@@ -0,0 +1,65 @@
+"""Retrieves weather forecast data from an import file.
+
+This module provides classes and mappings to manage weather data obtained from
+an import file, including support for various weather attributes such as temperature,
+humidity, cloud cover, and solar irradiance. The data is mapped to the `WeatherDataRecord`
+format, enabling consistent access to forecasted and historical weather attributes.
+"""
+
+from pathlib import Path
+from typing import Optional, Union
+
+from pydantic import Field, field_validator
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.prediction.predictionabc import PredictionImportProvider
+from akkudoktoreos.prediction.weatherabc import WeatherProvider
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class WeatherImportCommonSettings(SettingsBaseModel):
+    """Common settings for weather data import from file."""
+
+    weatherimport_file_path: Optional[Union[str, Path]] = Field(
+        default=None, description="Path to the file to import weather data from."
+    )
+
+    weatherimport_json: Optional[str] = Field(
+        default=None, description="JSON string, dictionary of weather forecast value lists."
+    )
+
+    # Validators
+    @field_validator("weatherimport_file_path", mode="after")
+    @classmethod
+    def validate_weatherimport_file_path(cls, value: Optional[Union[str, Path]]) -> Optional[Path]:
+        if value is None:
+            return None
+        if isinstance(value, str):
+            value = Path(value)
+        """Ensure file is available."""
+        value.resolve()
+        if not value.is_file():
+            raise ValueError(f"Import file path '{value}' is not a file.")
+        return value
+
+
+class WeatherImport(WeatherProvider, PredictionImportProvider):
+    """Fetch weather forecast data from import file or JSON string.
+
+    WeatherImport is a singleton-based class that retrieves weather forecast data
+    from a file or JSON string and maps it to `WeatherDataRecord` fields. It manages the forecast
+    over a range of hours into the future and retains historical data.
+    """
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the WeatherImport provider."""
+        return "WeatherImport"
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        if self.config.weatherimport_file_path is not None:
+            self.import_from_file(self.config.weatherimport_file_path, key_prefix="weather")
+        if self.config.weatherimport_json is not None:
+            self.import_from_json(self.config.weatherimport_json, key_prefix="weather")
diff --git a/tests/test_weatherbrightsky.py b/tests/test_weatherbrightsky.py
new file mode 100644
index 0000000..c65db31
--- /dev/null
+++ b/tests/test_weatherbrightsky.py
@@ -0,0 +1,193 @@
+import json
+from pathlib import Path
+from unittest.mock import Mock, patch
+
+import pandas as pd
+import pytest
+
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
+from akkudoktoreos.utils.cacheutil import CacheFileStore
+from akkudoktoreos.utils.datetimeutil import to_datetime
+
+DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
+
+FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON = DIR_TESTDATA.joinpath("weatherforecast_brightsky_1.json")
+FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON = DIR_TESTDATA.joinpath("weatherforecast_brightsky_2.json")
+
+ems_eos = get_ems()
+
+
+@pytest.fixture
+def weather_provider(monkeypatch):
+    """Fixture to create a WeatherProvider instance."""
+    monkeypatch.setenv("weather_provider", "BrightSky")
+    monkeypatch.setenv("latitude", "50.0")
+    monkeypatch.setenv("longitude", "10.0")
+    return WeatherBrightSky()
+
+
+@pytest.fixture
+def sample_brightsky_1_json():
+    """Fixture that returns sample forecast data report."""
+    with open(FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON, "r") as f_res:
+        input_data = json.load(f_res)
+    return input_data
+
+
+@pytest.fixture
+def sample_brightsky_2_json():
+    """Fixture that returns sample forecast data report."""
+    with open(FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON, "r") as f_res:
+        input_data = json.load(f_res)
+    return input_data
+
+
+@pytest.fixture
+def cache_store():
+    """A pytest fixture that creates a new CacheFileStore instance for testing."""
+    return CacheFileStore()
+
+
+# ------------------------------------------------
+# General forecast
+# ------------------------------------------------
+
+
+def test_singleton_instance(weather_provider):
+    """Test that WeatherForecast behaves as a singleton."""
+    another_instance = WeatherBrightSky()
+    assert weather_provider is another_instance
+
+
+def test_invalid_provider(weather_provider, monkeypatch):
+    """Test requesting an unsupported weather_provider."""
+    monkeypatch.setenv("weather_provider", "<invalid>")
+    weather_provider.config.update()
+    assert weather_provider.enabled() == False
+
+
+def test_invalid_coordinates(weather_provider, monkeypatch):
+    """Test invalid coordinates raise ValueError."""
+    monkeypatch.setenv("latitude", "1000")
+    monkeypatch.setenv("longitude", "1000")
+    with pytest.raises(
+        ValueError,  # match="Latitude '1000' and/ or longitude `1000` out of valid range."
+    ):
+        weather_provider.config.update()
+
+
+# ------------------------------------------------
+# Irradiance caclulation
+# ------------------------------------------------
+
+
+def test_irridiance_estimate_from_cloud_cover(weather_provider):
+    """Test cloud cover to irradiance estimation."""
+    cloud_cover_data = pd.Series(
+        data=[20, 50, 80], index=pd.date_range("2023-10-22", periods=3, freq="h")
+    )
+
+    ghi, dni, dhi = weather_provider.estimate_irradiance_from_cloud_cover(
+        50.0, 10.0, cloud_cover_data
+    )
+
+    assert ghi == [0, 0, 0]
+    assert dhi == [0, 0, 0]
+    assert dni == [0, 0, 0]
+
+
+# ------------------------------------------------
+# BrightSky
+# ------------------------------------------------
+
+
+@patch("requests.get")
+def test_request_forecast(mock_get, weather_provider, sample_brightsky_1_json):
+    """Test requesting forecast from BrightSky."""
+    # Mock response object
+    mock_response = Mock()
+    mock_response.status_code = 200
+    mock_response.content = json.dumps(sample_brightsky_1_json)
+    mock_get.return_value = mock_response
+
+    # Preset, as this is usually done by update()
+    weather_provider.config.update()
+
+    # Test function
+    brightsky_data = weather_provider._request_forecast()
+
+    assert isinstance(brightsky_data, dict)
+    assert brightsky_data["weather"][0] == {
+        "timestamp": "2024-10-26T00:00:00+02:00",
+        "source_id": 46567,
+        "precipitation": 0.0,
+        "pressure_msl": 1022.9,
+        "sunshine": 0.0,
+        "temperature": 6.2,
+        "wind_direction": 40,
+        "wind_speed": 4.7,
+        "cloud_cover": 100,
+        "dew_point": 5.8,
+        "relative_humidity": 97,
+        "visibility": 140,
+        "wind_gust_direction": 70,
+        "wind_gust_speed": 11.9,
+        "condition": "dry",
+        "precipitation_probability": None,
+        "precipitation_probability_6h": None,
+        "solar": None,
+        "fallback_source_ids": {
+            "wind_gust_speed": 219419,
+            "pressure_msl": 219419,
+            "cloud_cover": 219419,
+            "wind_gust_direction": 219419,
+            "wind_direction": 219419,
+            "wind_speed": 219419,
+            "sunshine": 219419,
+            "visibility": 219419,
+        },
+        "icon": "cloudy",
+    }
+
+
+@patch("requests.get")
+def test_update_data(mock_get, weather_provider, sample_brightsky_1_json, cache_store):
+    """Test fetching forecast from BrightSky."""
+    # Mock response object
+    mock_response = Mock()
+    mock_response.status_code = 200
+    mock_response.content = json.dumps(sample_brightsky_1_json)
+    mock_get.return_value = mock_response
+
+    cache_store.clear(clear_all=True)
+
+    # Call the method
+    ems_eos.start_datetime = to_datetime("2024-10-26 00:00:00", in_timezone="Europe/Berlin")
+    weather_provider.update_data(force_enable=True, force_update=True)
+
+    # Assert: Verify the result is as expected
+    mock_get.assert_called_once()
+    assert len(weather_provider) == 338
+
+    # with open(FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON, "w") as f_out:
+    #    f_out.write(weather_provider.to_json())
+
+
+# ------------------------------------------------
+# Development BrightSky
+# ------------------------------------------------
+
+
+@pytest.mark.skip(reason="For development only")
+def test_brightsky_development_forecast_data(weather_provider):
+    """Fetch data from real BrightSky server."""
+    # Preset, as this is usually done by update_data()
+    weather_provider.start_datetime = to_datetime("2024-10-26 00:00:00")
+    weather_provider.latitude = 50.0
+    weather_provider.longitude = 10.0
+
+    brightsky_data = weather_provider._request_forecast()
+
+    with open(FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON, "w") as f_out:
+        json.dump(brightsky_data, f_out, indent=4)
diff --git a/tests/test_weatherclearoutside.py b/tests/test_weatherclearoutside.py
new file mode 100644
index 0000000..84be733
--- /dev/null
+++ b/tests/test_weatherclearoutside.py
@@ -0,0 +1,569 @@
+import re
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+from unittest.mock import Mock, patch
+
+import numpy as np
+import pandas as pd
+import pvlib
+import pytest
+from bs4 import BeautifulSoup
+
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.weatherclearoutside import WeatherClearOutside
+from akkudoktoreos.utils.cacheutil import CacheFileStore
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime
+
+DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
+
+FILE_TESTDATA_WEATHERCLEAROUTSIDE_1_HTML = DIR_TESTDATA.joinpath("weatherforecast_clearout_1.html")
+FILE_TESTDATA_WEATHERCLEAROUTSIDE_1_DATA = DIR_TESTDATA.joinpath("weatherforecast_clearout_1.json")
+
+config_eos = get_config()
+ems_eos = get_ems()
+
+
+@pytest.fixture
+def weather_provider():
+    """Fixture to create a WeatherProvider instance."""
+    settings = {
+        "weather_provider": "ClearOutside",
+        "latitude": 50.0,
+        "longitude": 10.0,
+    }
+    config_eos.merge_settings_from_dict(settings)
+    return WeatherClearOutside()
+
+
+@pytest.fixture
+def sample_clearout_1_html():
+    """Fixture that returns sample forecast data report."""
+    with open(FILE_TESTDATA_WEATHERCLEAROUTSIDE_1_HTML, "r") as f_res:
+        input_data = f_res.read()
+    return input_data
+
+
+@pytest.fixture
+def sample_clearout_1_data():
+    """Fixture that returns sample forecast data."""
+    with open(FILE_TESTDATA_WEATHERCLEAROUTSIDE_1_DATA, "r") as f_in:
+        json_str = f_in.read()
+        data = WeatherClearOutside.from_json(json_str)
+    return data
+
+
+@pytest.fixture
+def cache_store():
+    """A pytest fixture that creates a new CacheFileStore instance for testing."""
+    return CacheFileStore()
+
+
+# ------------------------------------------------
+# General WeatherProvider
+# ------------------------------------------------
+
+
+def test_singleton_instance(weather_provider):
+    """Test that WeatherForecast behaves as a singleton."""
+    another_instance = WeatherClearOutside()
+    assert weather_provider is another_instance
+
+
+def test_invalid_provider(weather_provider):
+    """Test requesting an unsupported weather_provider."""
+    settings = {
+        "weather_provider": "<invalid>",
+    }
+    config_eos.merge_settings_from_dict(settings)
+    assert weather_provider.enabled() == False
+
+
+def test_invalid_coordinates(weather_provider):
+    """Test invalid coordinates raise ValueError."""
+    settings = {
+        "weather_provider": "ClearOutside",
+        "latitude": 1000.0,
+        "longitude": 1000.0,
+    }
+    with pytest.raises(
+        ValueError,  # match="Latitude '1000' and/ or longitude `1000` out of valid range."
+    ):
+        config_eos.merge_settings_from_dict(settings)
+
+
+# ------------------------------------------------
+# Irradiance caclulation
+# ------------------------------------------------
+
+
+def test_irridiance_estimate_from_cloud_cover(weather_provider):
+    """Test cloud cover to irradiance estimation."""
+    cloud_cover_data = pd.Series(
+        data=[20, 50, 80], index=pd.date_range("2023-10-22", periods=3, freq="h")
+    )
+
+    ghi, dni, dhi = weather_provider.estimate_irradiance_from_cloud_cover(
+        50.0, 10.0, cloud_cover_data
+    )
+
+    assert ghi == [0, 0, 0]
+    assert dhi == [0, 0, 0]
+    assert dni == [0, 0, 0]
+
+
+# ------------------------------------------------
+# ClearOutside
+# ------------------------------------------------
+
+
+@patch("requests.get")
+def test_request_forecast(mock_get, weather_provider, sample_clearout_1_html):
+    """Test fetching forecast from ClearOutside."""
+    # Mock response object
+    mock_response = Mock()
+    mock_response.status_code = 200
+    mock_response.content = sample_clearout_1_html
+    mock_get.return_value = mock_response
+
+    # Preset, as this is usually done by update()
+    config_eos.update()
+
+    # Test function
+    response = weather_provider._request_forecast()
+
+    assert response.status_code == 200
+    assert response.content == sample_clearout_1_html
+
+
+@patch("requests.get")
+def test_update_data(mock_get, weather_provider, sample_clearout_1_html, sample_clearout_1_data):
+    # Mock response object
+    mock_response = Mock()
+    mock_response.status_code = 200
+    mock_response.content = sample_clearout_1_html
+    mock_get.return_value = mock_response
+
+    expected_start = to_datetime("2024-10-26 00:00:00", in_timezone="Europe/Berlin")
+    expected_end = to_datetime("2024-10-28 00:00:00", in_timezone="Europe/Berlin")
+    expected_keep = to_datetime("2024-10-24 00:00:00", in_timezone="Europe/Berlin")
+
+    # Call the method
+    ems_eos.start_datetime = expected_start
+    weather_provider.update_data()
+
+    # Check for correct prediction time window
+    assert weather_provider.config.prediction_hours == 48
+    assert weather_provider.config.prediction_historic_hours == 48
+    assert compare_datetimes(weather_provider.start_datetime, expected_start).equal
+    assert compare_datetimes(weather_provider.end_datetime, expected_end).equal
+    assert compare_datetimes(weather_provider.keep_datetime, expected_keep).equal
+
+    # Verify the data
+    assert len(weather_provider) == 165  # 6 days, 24 hours per day - 7th day 21 hours
+
+    # Check that specific values match the expected output
+    # for i, record in enumerate(weather_data.records):
+    #    # Compare datetime and specific values
+    #    assert record.datetime == sample_clearout_1_data.records[i].datetime
+    #    assert record.data['total_clouds'] == sample_clearout_1_data.records[i].data['total_clouds']
+    #    # Check additional weather attributes as necessary
+
+
+@pytest.mark.skip(reason="Test fixture to be improved")
+@patch("requests.get")
+def test_cache_forecast(mock_get, weather_provider, sample_clearout_1_html, cache_store):
+    """Test that ClearOutside forecast data is cached with TTL.
+
+    This can not be tested with mock_get. Mock objects are not pickable and therefor can not be
+    cached to a file. Keep it for documentation.
+    """
+    # Mock response object
+    mock_response = Mock()
+    mock_response.status_code = 200
+    mock_response.content = sample_clearout_1_html
+    mock_get.return_value = mock_response
+
+    cache_store.clear(clear_all=True)
+
+    weather_provider.update_data()
+    mock_get.assert_called_once()
+    forecast_data_first = weather_provider.to_json()
+
+    weather_provider.update_data()
+    forecast_data_second = weather_provider.to_json()
+    # Verify that cache returns the same object without calling the method again
+    assert forecast_data_first == forecast_data_second
+    # A mock object is not pickable and therefor can not be chached to file
+    assert mock_get.call_count == 2
+
+
+# ------------------------------------------------
+# Development ClearOutside
+# ------------------------------------------------
+
+
+@pytest.mark.skip(reason="For development only")
+@patch("requests.get")
+def test_development_forecast_data(mock_get, weather_provider, sample_clearout_1_html):
+    # Mock response object
+    mock_response = Mock()
+    mock_response.status_code = 200
+    mock_response.content = sample_clearout_1_html
+    mock_get.return_value = mock_response
+
+    # Fill the instance
+    weather_provider.update_data(force_enable=True)
+
+    with open(FILE_TESTDATA_WEATHERCLEAROUTSIDE_1_DATA, "w") as f_out:
+        f_out.write(weather_provider.to_json())
+
+
+@pytest.mark.skip(reason="For development only")
+def test_clearoutsides_development_scraper(weather_provider, sample_clearout_1_html):
+    """Test scraping from ClearOutside."""
+    soup = BeautifulSoup(sample_clearout_1_html, "html.parser")
+
+    # Sample was created for the loacation
+    lat = 50.0
+    lon = 10.0
+
+    # Find generation data
+    p_generated = soup.find("h2", string=lambda text: text and text.startswith("Generated:"))
+    assert p_generated is not None
+
+    # Extract forecast start and end dates
+    forecast_pattern = r"Forecast: (\d{2}/\d{2}/\d{2}) to (\d{2}/\d{2}/\d{2})"
+    forecast_match = re.search(forecast_pattern, p_generated.get_text())
+    if forecast_match:
+        forecast_start_date = forecast_match.group(1)
+        forecast_end_date = forecast_match.group(2)
+    else:
+        assert False
+    assert forecast_start_date == "26/10/24"
+    assert forecast_end_date == "01/11/24"
+
+    # Extract timezone offset
+    timezone_pattern = r"Timezone: UTC([+-]\d+)\.(\d+)"
+    timezone_match = re.search(timezone_pattern, p_generated.get_text())
+    if timezone_match:
+        hours = int(timezone_match.group(1))
+        assert hours == 2
+        # Convert the decimal part to minutes (e.g., .50 -> 30 minutes)
+        minutes = int(timezone_match.group(2)) * 6  # Multiply by 6 to convert to minutes
+        assert minutes == 0
+
+        # Create the timezone object using timedelta for the offset
+        forecast_timezone = timezone(timedelta(hours=hours, minutes=minutes))
+    else:
+        assert False
+
+    forecast_start_datetime = to_datetime(
+        forecast_start_date, in_timezone=forecast_timezone, to_naiv=False, to_maxtime=False
+    )
+    assert forecast_start_datetime == datetime(2024, 10, 26, 0, 0)
+
+    # Find all paragraphs with id 'day_<x>'. There should be seven.
+    p_days = soup.find_all(id=re.compile(r"day_[0-9]"))
+    assert len(p_days) == 7
+    p_day = p_days[0]
+
+    # Within day_x paragraph find the details labels
+    p_detail_labels = p_day.find_all(class_="fc_detail_label")
+    detail_names = [p.get_text() for p in p_detail_labels]
+
+    assert detail_names == [
+        "Total Clouds (% Sky Obscured)",
+        "Low Clouds (% Sky Obscured)",
+        "Medium Clouds (% Sky Obscured)",
+        "High Clouds (% Sky Obscured)",
+        "ISS Passover",
+        "Visibility (miles)",
+        "Fog (%)",
+        "Precipitation Type",
+        "Precipitation Probability (%)",
+        "Precipitation Amount (mm)",
+        "Wind Speed/Direction (mph)",
+        "Chance of Frost",
+        "Temperature (°C)",
+        "Feels Like (°C)",
+        "Dew Point (°C)",
+        "Relative Humidity (%)",
+        "Pressure (mb)",
+        "Ozone (du)",
+    ]
+
+    # Find all the paragraphs that are associated to the details.
+    # Beware there is one ul paragraph before that is not associated to a detail
+    p_detail_tables = p_day.find_all("ul")
+    assert len(p_detail_tables) == len(detail_names) + 1
+    p_detail_tables.pop(0)
+
+    # Create clearout data
+    clearout_data = {}
+    # Add data values
+    for i, detail_name in enumerate(detail_names):
+        p_detail_values = p_detail_tables[i].find_all("li")
+        detail_data = []
+        for p_detail_value in p_detail_values:
+            if (
+                detail_name in ("Precipitation Type", "Chance of Frost")
+                and hasattr(p_detail_value, "title")
+                and p_detail_value.title
+            ):
+                value_str = p_detail_value.title.string
+            else:
+                value_str = p_detail_value.get_text()
+            try:
+                value = float(value_str)
+            except ValueError:
+                value = value_str
+            detail_data.append(value)
+        assert len(detail_data) == 24
+        clearout_data[detail_name] = detail_data
+
+    assert clearout_data["Temperature (°C)"] == [
+        14.0,
+        14.0,
+        13.0,
+        12.0,
+        11.0,
+        11.0,
+        10.0,
+        10.0,
+        9.0,
+        9.0,
+        9.0,
+        9.0,
+        9.0,
+        10.0,
+        9.0,
+        9.0,
+        10.0,
+        11.0,
+        13.0,
+        14.0,
+        15.0,
+        16.0,
+        16.0,
+        16.0,
+    ]
+    assert clearout_data["Relative Humidity (%)"] == [
+        59.0,
+        68.0,
+        75.0,
+        81.0,
+        84.0,
+        85.0,
+        85.0,
+        91.0,
+        91.0,
+        93.0,
+        93.0,
+        93.0,
+        93.0,
+        93.0,
+        95.0,
+        95.0,
+        93.0,
+        87.0,
+        81.0,
+        76.0,
+        70.0,
+        66.0,
+        66.0,
+        69.0,
+    ]
+    assert clearout_data["Wind Speed/Direction (mph)"] == [
+        7.0,
+        6.0,
+        4.0,
+        4.0,
+        4.0,
+        4.0,
+        4.0,
+        4.0,
+        3.0,
+        3.0,
+        3.0,
+        2.0,
+        1.0,
+        1.0,
+        1.0,
+        2.0,
+        2.0,
+        2.0,
+        4.0,
+        5.0,
+        6.0,
+        6.0,
+        5.0,
+        5.0,
+    ]
+
+    # Add datetimes of the scrapped data
+    clearout_data["DateTime"] = [forecast_start_datetime + timedelta(hours=i) for i in range(24)]
+    detail_names.append("DateTime")
+
+    assert len(clearout_data["DateTime"]) == 24
+    assert clearout_data["DateTime"][0] == to_datetime(
+        "2024-10-26 00:00:00", in_timezone=forecast_timezone
+    )
+    assert clearout_data["DateTime"][23] == to_datetime(
+        "2024-10-26 23:00:00", in_timezone=forecast_timezone
+    )
+
+    # Converting the cloud cover into Global Horizontal Irradiance (GHI) with a PVLib method
+    offset = 35  # The default
+    offset_fraction = offset / 100.0  # Adjust percentage to scaling factor
+    cloud_cover = pd.Series(clearout_data["Total Clouds (% Sky Obscured)"])
+
+    # Convert datetime list to a pandas DatetimeIndex
+    cloud_cover_times = pd.DatetimeIndex(clearout_data["DateTime"])
+
+    # Create a location object
+    location = pvlib.location.Location(latitude=lat, longitude=lon)
+
+    # Get solar position and clear-sky GHI using the Ineichen model
+    solpos = location.get_solarposition(cloud_cover_times)
+    clear_sky = location.get_clearsky(cloud_cover_times, model="ineichen")
+
+    # Convert cloud cover percentage to a scaling factor
+    cloud_cover_fraction = np.array(cloud_cover) / 100.0
+
+    # Calculate adjusted GHI with proportional offset adjustment
+    adjusted_ghi = clear_sky["ghi"] * (
+        offset_fraction + (1 - offset_fraction) * (1 - cloud_cover_fraction)
+    )
+    adjusted_ghi.fillna(0.0, inplace=True)
+
+    # Apply DISC model to estimate Direct Normal Irradiance (DNI) from adjusted GHI
+    disc_output = pvlib.irradiance.disc(adjusted_ghi, solpos["zenith"], cloud_cover_times)
+    adjusted_dni = disc_output["dni"]
+    adjusted_dni.fillna(0.0, inplace=True)
+
+    # Calculate Diffuse Horizontal Irradiance (DHI) as DHI = GHI - DNI * cos(zenith)
+    zenith_rad = np.radians(solpos["zenith"])
+    adjusted_dhi = adjusted_ghi - adjusted_dni * np.cos(zenith_rad)
+    adjusted_dhi.fillna(0.0, inplace=True)
+
+    # Add GHI, DNI, DHI to clearout data
+    clearout_data["Global Horizontal Irradiance (W/m2)"] = adjusted_ghi.to_list()
+    detail_names.append("Global Horizontal Irradiance (W/m2)")
+    clearout_data["Direct Normal Irradiance (W/m2)"] = adjusted_dni.to_list()
+    detail_names.append("Direct Normal Irradiance (W/m2)")
+    clearout_data["Diffuse Horizontal Irradiance (W/m2)"] = adjusted_dhi.to_list()
+    detail_names.append("Diffuse Horizontal Irradiance (W/m2)")
+
+    assert clearout_data["Global Horizontal Irradiance (W/m2)"] == [
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        24.291000436601216,
+        85.88494154645998,
+        136.09269403109946,
+        139.26925350542064,
+        146.7174434892616,
+        149.0167479382964,
+        138.97458866666065,
+        103.47132353697396,
+        46.81279774519421,
+        0.12972168074047014,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+    ]
+    assert clearout_data["Direct Normal Irradiance (W/m2)"] == [
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        10.19687368654253,
+        0.0,
+        0.0,
+        2.9434862632289804,
+        9.621272744657047,
+        9.384995789935898,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+    ]
+    assert clearout_data["Diffuse Horizontal Irradiance (W/m2)"] == [
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        24.291000436601216,
+        85.88494154645998,
+        132.32210426501337,
+        139.26925350542064,
+        146.7174434892616,
+        147.721968406295,
+        135.32240392326145,
+        100.82522311704261,
+        46.81279774519421,
+        0.12972168074047014,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+    ]
+
+    # Preciptable Water (PWAT) with a PVLib method
+    clearout_data["Preciptable Water (cm)"] = pvlib.atmosphere.gueymard94_pw(
+        pd.Series(data=clearout_data["Temperature (°C)"]),
+        pd.Series(data=clearout_data["Relative Humidity (%)"]),
+    ).to_list()
+    detail_names.append("Preciptable Water (cm)")
+
+    assert clearout_data["Preciptable Water (cm)"] == [
+        1.5345406562673334,
+        1.7686231292572652,
+        1.8354895631381385,
+        1.8651290310892348,
+        1.8197998755611786,
+        1.8414641597940502,
+        1.7325709431177607,
+        1.8548700685143087,
+        1.7453005409540279,
+        1.783658794601369,
+        1.783658794601369,
+        1.783658794601369,
+        1.783658794601369,
+        1.8956364436464912,
+        1.8220170482487101,
+        1.8220170482487101,
+        1.8956364436464912,
+        1.8847927282597918,
+        1.9823287281891897,
+        1.9766964385816497,
+        1.9346943880237457,
+        1.9381315133101413,
+        1.9381315133101413,
+        2.026228400278784,
+    ]
diff --git a/tests/test_weatherimport.py b/tests/test_weatherimport.py
new file mode 100644
index 0000000..09437fd
--- /dev/null
+++ b/tests/test_weatherimport.py
@@ -0,0 +1,110 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.weatherimport import WeatherImport
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime
+
+DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
+
+FILE_TESTDATA_WEATHERIMPORT_1_JSON = DIR_TESTDATA.joinpath("import_input_1.json")
+
+config_eos = get_config()
+ems_eos = get_ems()
+
+
+@pytest.fixture
+def weather_provider(reset_config, sample_import_1_json):
+    """Fixture to create a WeatherProvider instance."""
+    settings = {
+        "weather_provider": "WeatherImport",
+        "weatherimport_file_path": str(FILE_TESTDATA_WEATHERIMPORT_1_JSON),
+        "weatherimport_json": json.dumps(sample_import_1_json),
+    }
+    config_eos.merge_settings_from_dict(settings)
+    provider = WeatherImport()
+    assert provider.enabled() == True
+    return provider
+
+
+@pytest.fixture
+def sample_import_1_json():
+    """Fixture that returns sample forecast data report."""
+    with open(FILE_TESTDATA_WEATHERIMPORT_1_JSON, "r") as f_res:
+        input_data = json.load(f_res)
+    return input_data
+
+
+# ------------------------------------------------
+# General forecast
+# ------------------------------------------------
+
+
+def test_singleton_instance(weather_provider):
+    """Test that WeatherForecast behaves as a singleton."""
+    another_instance = WeatherImport()
+    assert weather_provider is another_instance
+
+
+def test_invalid_provider(weather_provider, monkeypatch):
+    """Test requesting an unsupported weather_provider."""
+    settings = {
+        "weather_provider": "<invalid>",
+        "weatherimport_file_path": str(FILE_TESTDATA_WEATHERIMPORT_1_JSON),
+    }
+    config_eos.merge_settings_from_dict(settings)
+    assert weather_provider.enabled() == False
+
+
+# ------------------------------------------------
+# Import
+# ------------------------------------------------
+
+
+@pytest.mark.parametrize(
+    "start_datetime, from_file",
+    [
+        ("2024-11-10 00:00:00", True),  # No DST in Germany
+        ("2024-08-10 00:00:00", True),  # DST in Germany
+        ("2024-03-31 00:00:00", True),  # DST change in Germany (23 hours/ day)
+        ("2024-10-27 00:00:00", True),  # DST change in Germany (25 hours/ day)
+        ("2024-11-10 00:00:00", False),  # No DST in Germany
+        ("2024-08-10 00:00:00", False),  # DST in Germany
+        ("2024-03-31 00:00:00", False),  # DST change in Germany (23 hours/ day)
+        ("2024-10-27 00:00:00", False),  # DST change in Germany (25 hours/ day)
+    ],
+)
+def test_import(weather_provider, sample_import_1_json, start_datetime, from_file):
+    """Test fetching forecast from Import."""
+    ems_eos.start_datetime = to_datetime(start_datetime, in_timezone="Europe/Berlin")
+    if from_file:
+        config_eos.weatherimport_json = None
+        assert config_eos.weatherimport_json is None
+    else:
+        config_eos.weatherimport_file_path = None
+        assert config_eos.weatherimport_file_path is None
+    weather_provider.clear()
+
+    # Call the method
+    weather_provider.update_data()
+
+    # Assert: Verify the result is as expected
+    assert weather_provider.start_datetime is not None
+    assert weather_provider.total_hours is not None
+    assert compare_datetimes(weather_provider.start_datetime, ems_eos.start_datetime).equal
+    values = sample_import_1_json["weather_temp_air"]
+    value_datetime_mapping = weather_provider.import_datetimes(len(values))
+    for i, mapping in enumerate(value_datetime_mapping):
+        assert i < len(weather_provider.records)
+        expected_datetime, expected_value_index = mapping
+        expected_value = values[expected_value_index]
+        result_datetime = weather_provider.records[i].date_time
+        result_value = weather_provider.records[i]["weather_temp_air"]
+
+        # print(f"{i}: Expected: {expected_datetime}:{expected_value}")
+        # print(f"{i}:   Result: {result_datetime}:{result_value}")
+        assert compare_datetimes(result_datetime, expected_datetime).equal
+        assert result_value == expected_value
diff --git a/tests/testdata/weatherforecast_brightsky_1.json b/tests/testdata/weatherforecast_brightsky_1.json
new file mode 100644
index 0000000..7c36440
--- /dev/null
+++ b/tests/testdata/weatherforecast_brightsky_1.json
@@ -0,0 +1,10592 @@
+{
+    "weather": [
+        {
+            "timestamp": "2024-10-26T00:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.9,
+            "sunshine": 0.0,
+            "temperature": 6.2,
+            "wind_direction": 40,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 5.8,
+            "relative_humidity": 97,
+            "visibility": 140,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 11.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T01:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1023.1,
+            "sunshine": 0.0,
+            "temperature": 6.6,
+            "wind_direction": 10,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 6.3,
+            "relative_humidity": 98,
+            "visibility": 90,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T02:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1023.0,
+            "sunshine": 0.0,
+            "temperature": 7.5,
+            "wind_direction": 20,
+            "wind_speed": 3.6,
+            "cloud_cover": 100,
+            "dew_point": 7.3,
+            "relative_humidity": 99,
+            "visibility": 740,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T03:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.9,
+            "sunshine": 0.0,
+            "temperature": 8.7,
+            "wind_direction": 50,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 8.5,
+            "relative_humidity": 98,
+            "visibility": 580,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T04:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.6,
+            "sunshine": 0.0,
+            "temperature": 9.5,
+            "wind_direction": 10,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 9.3,
+            "relative_humidity": 98,
+            "visibility": 140,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T05:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.6,
+            "sunshine": 0.0,
+            "temperature": 9.8,
+            "wind_direction": 80,
+            "wind_speed": 4.7,
+            "cloud_cover": 87,
+            "dew_point": 9.4,
+            "relative_humidity": 97,
+            "visibility": 250,
+            "wind_gust_direction": 110,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T06:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.6,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 70,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 9.5,
+            "relative_humidity": 96,
+            "visibility": 2280,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T07:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.3,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 40,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 9.4,
+            "relative_humidity": 95,
+            "visibility": 2650,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T08:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.3,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 40,
+            "wind_speed": 8.3,
+            "cloud_cover": 100,
+            "dew_point": 9.3,
+            "relative_humidity": 94,
+            "visibility": 2290,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 14.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T09:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.4,
+            "sunshine": 0.0,
+            "temperature": 10.3,
+            "wind_direction": 60,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 9.5,
+            "relative_humidity": 95,
+            "visibility": 2530,
+            "wind_gust_direction": 80,
+            "wind_gust_speed": 15.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T10:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.4,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 80,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 9.4,
+            "relative_humidity": 95,
+            "visibility": 1660,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 12.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T11:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.1,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 70,
+            "wind_speed": 7.2,
+            "cloud_cover": 100,
+            "dew_point": 9.3,
+            "relative_humidity": 94,
+            "visibility": 4420,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 14.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T12:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1021.8,
+            "sunshine": 0.0,
+            "temperature": 10.3,
+            "wind_direction": 50,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 9.3,
+            "relative_humidity": 94,
+            "visibility": 2010,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 14.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T13:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1021.2,
+            "sunshine": 0.0,
+            "temperature": 10.3,
+            "wind_direction": 40,
+            "wind_speed": 7.9,
+            "cloud_cover": 100,
+            "dew_point": 8.8,
+            "relative_humidity": 90,
+            "visibility": 4340,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 15.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T14:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1020.8,
+            "sunshine": 0.0,
+            "temperature": 10.9,
+            "wind_direction": 40,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 9.2,
+            "relative_humidity": 89,
+            "visibility": 9060,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 14.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T15:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1020.0,
+            "sunshine": 0.0,
+            "temperature": 11.8,
+            "wind_direction": 40,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 9.7,
+            "relative_humidity": 87,
+            "visibility": 13650,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T16:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1019.8,
+            "sunshine": 5.0,
+            "temperature": 12.9,
+            "wind_direction": 20,
+            "wind_speed": 7.2,
+            "cloud_cover": 100,
+            "dew_point": 9.8,
+            "relative_humidity": 82,
+            "visibility": 17560,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T17:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1019.2,
+            "sunshine": 4.0,
+            "temperature": 12.8,
+            "wind_direction": 30,
+            "wind_speed": 8.3,
+            "cloud_cover": 87,
+            "dew_point": 9.3,
+            "relative_humidity": 79,
+            "visibility": 17960,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T18:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.8,
+            "sunshine": 19.0,
+            "temperature": 9.9,
+            "wind_direction": 70,
+            "wind_speed": 6.8,
+            "cloud_cover": 62,
+            "dew_point": 8.5,
+            "relative_humidity": 91,
+            "visibility": 14910,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-10-26T19:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.7,
+            "sunshine": 0.0,
+            "temperature": 8.3,
+            "wind_direction": 40,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 7.5,
+            "relative_humidity": 94,
+            "visibility": 6400,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T20:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.7,
+            "sunshine": 0.0,
+            "temperature": 7.6,
+            "wind_direction": 20,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 6.9,
+            "relative_humidity": 96,
+            "visibility": 720,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T21:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.7,
+            "sunshine": 0.0,
+            "temperature": 6.9,
+            "wind_direction": 20,
+            "wind_speed": 4.7,
+            "cloud_cover": 87,
+            "dew_point": 6.4,
+            "relative_humidity": 97,
+            "visibility": 5730,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 7.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T22:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.9,
+            "sunshine": 0.0,
+            "temperature": 6.7,
+            "wind_direction": 340,
+            "wind_speed": 4.7,
+            "cloud_cover": 87,
+            "dew_point": 6.3,
+            "relative_humidity": 97,
+            "visibility": 90,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-26T23:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1019.3,
+            "sunshine": 0.0,
+            "temperature": 7.6,
+            "wind_direction": 360,
+            "wind_speed": 7.2,
+            "cloud_cover": 87,
+            "dew_point": 7.1,
+            "relative_humidity": 97,
+            "visibility": 90,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T00:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1019.0,
+            "sunshine": 0.0,
+            "temperature": 8.3,
+            "wind_direction": 360,
+            "wind_speed": 10.4,
+            "cloud_cover": 100,
+            "dew_point": 7.6,
+            "relative_humidity": 96,
+            "visibility": 200,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 14.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T01:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1019.0,
+            "sunshine": 0.0,
+            "temperature": 8.9,
+            "wind_direction": 10,
+            "wind_speed": 8.3,
+            "cloud_cover": 100,
+            "dew_point": 8.3,
+            "relative_humidity": 96,
+            "visibility": 3610,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 13.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T02:00:00+02:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.7,
+            "sunshine": 0.0,
+            "temperature": 9.8,
+            "wind_direction": 10,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 8.9,
+            "relative_humidity": 94,
+            "visibility": 5770,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 11.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.8,
+            "sunshine": 0.0,
+            "temperature": 10.6,
+            "wind_direction": 360,
+            "wind_speed": 7.2,
+            "cloud_cover": 100,
+            "dew_point": 9.3,
+            "relative_humidity": 92,
+            "visibility": 5980,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.2,
+            "sunshine": 0.0,
+            "temperature": 10.8,
+            "wind_direction": 360,
+            "wind_speed": 6.5,
+            "cloud_cover": 100,
+            "dew_point": 9.4,
+            "relative_humidity": 91,
+            "visibility": 7950,
+            "wind_gust_direction": 340,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.2,
+            "sunshine": 0.0,
+            "temperature": 10.8,
+            "wind_direction": 360,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 9.7,
+            "relative_humidity": 93,
+            "visibility": 6120,
+            "wind_gust_direction": 320,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.4,
+            "sunshine": 0.0,
+            "temperature": 10.6,
+            "wind_direction": 10,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 94,
+            "visibility": 4830,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1018.9,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 350,
+            "wind_speed": 3.6,
+            "cloud_cover": 100,
+            "dew_point": 9.8,
+            "relative_humidity": 95,
+            "visibility": 5360,
+            "wind_gust_direction": 310,
+            "wind_gust_speed": 5.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1019.8,
+            "sunshine": 0.0,
+            "temperature": 10.6,
+            "wind_direction": 190,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 9.8,
+            "relative_humidity": 95,
+            "visibility": 4660,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 4.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1020.5,
+            "sunshine": 0.0,
+            "temperature": 10.9,
+            "wind_direction": 180,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 10.0,
+            "relative_humidity": 94,
+            "visibility": 5570,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 6.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1021.1,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 190,
+            "wind_speed": 7.2,
+            "cloud_cover": 100,
+            "dew_point": 10.1,
+            "relative_humidity": 91,
+            "visibility": 7670,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 14.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1021.4,
+            "sunshine": 0.0,
+            "temperature": 12.2,
+            "wind_direction": 190,
+            "wind_speed": 11.2,
+            "cloud_cover": 100,
+            "dew_point": 10.4,
+            "relative_humidity": 89,
+            "visibility": 8790,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 19.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.0,
+            "sunshine": 0.0,
+            "temperature": 12.9,
+            "wind_direction": 200,
+            "wind_speed": 10.8,
+            "cloud_cover": 100,
+            "dew_point": 10.4,
+            "relative_humidity": 85,
+            "visibility": 8040,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 19.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.6,
+            "sunshine": 0.0,
+            "temperature": 13.4,
+            "wind_direction": 220,
+            "wind_speed": 11.5,
+            "cloud_cover": 100,
+            "dew_point": 10.6,
+            "relative_humidity": 83,
+            "visibility": 9300,
+            "wind_gust_direction": 210,
+            "wind_gust_speed": 22.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.7,
+            "sunshine": 0.0,
+            "temperature": 13.9,
+            "wind_direction": 230,
+            "wind_speed": 10.8,
+            "cloud_cover": 100,
+            "dew_point": 10.9,
+            "relative_humidity": 82,
+            "visibility": 9560,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 20.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1022.9,
+            "sunshine": 4.0,
+            "temperature": 14.1,
+            "wind_direction": 220,
+            "wind_speed": 10.4,
+            "cloud_cover": 100,
+            "dew_point": 11.0,
+            "relative_humidity": 81,
+            "visibility": 12400,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 18.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1023.0,
+            "sunshine": 21.0,
+            "temperature": 14.8,
+            "wind_direction": 200,
+            "wind_speed": 11.9,
+            "cloud_cover": 87,
+            "dew_point": 11.4,
+            "relative_humidity": 80,
+            "visibility": 12100,
+            "wind_gust_direction": 210,
+            "wind_gust_speed": 19.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1023.8,
+            "sunshine": 1.0,
+            "temperature": 15.0,
+            "wind_direction": 200,
+            "wind_speed": 13.3,
+            "cloud_cover": 100,
+            "dew_point": 11.4,
+            "relative_humidity": 79,
+            "visibility": 13590,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 20.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1024.4,
+            "sunshine": 0.0,
+            "temperature": 13.0,
+            "wind_direction": 220,
+            "wind_speed": 8.6,
+            "cloud_cover": 100,
+            "dew_point": 11.0,
+            "relative_humidity": 87,
+            "visibility": 14720,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 14.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.0,
+            "sunshine": 0.0,
+            "temperature": 11.7,
+            "wind_direction": 190,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 10.3,
+            "relative_humidity": 91,
+            "visibility": 14300,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 13.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.59,
+            "sunshine": 0.0,
+            "temperature": 11.5,
+            "wind_direction": 180,
+            "wind_speed": 7.2,
+            "cloud_cover": 100,
+            "dew_point": 10.0,
+            "relative_humidity": 91,
+            "visibility": 12740,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 12.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.0,
+            "sunshine": 0.0,
+            "temperature": 10.7,
+            "wind_direction": 180,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 9.8,
+            "relative_humidity": 94,
+            "visibility": 12320,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 15.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.5,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 180,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 10.8,
+            "relative_humidity": 96,
+            "visibility": 10820,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 18.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.0,
+            "sunshine": 0.0,
+            "temperature": 11.8,
+            "wind_direction": 180,
+            "wind_speed": 9.4,
+            "cloud_cover": 100,
+            "dew_point": 11.0,
+            "relative_humidity": 95,
+            "visibility": 8040,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 17.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-27T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.0,
+            "sunshine": 0.0,
+            "temperature": 11.9,
+            "wind_direction": 170,
+            "wind_speed": 8.6,
+            "cloud_cover": 100,
+            "dew_point": 11.2,
+            "relative_humidity": 95,
+            "visibility": 4860,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 15.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.0,
+            "sunshine": 0.0,
+            "temperature": 11.9,
+            "wind_direction": 180,
+            "wind_speed": 11.9,
+            "cloud_cover": 100,
+            "dew_point": 11.1,
+            "relative_humidity": 95,
+            "visibility": 3910,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 20.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.0,
+            "sunshine": 0.0,
+            "temperature": 11.9,
+            "wind_direction": 180,
+            "wind_speed": 12.6,
+            "cloud_cover": 87,
+            "dew_point": 10.9,
+            "relative_humidity": 93,
+            "visibility": 7410,
+            "wind_gust_direction": 160,
+            "wind_gust_speed": 19.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.09,
+            "sunshine": 0.0,
+            "temperature": 11.9,
+            "wind_direction": 190,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 11.1,
+            "relative_humidity": 95,
+            "visibility": 4020,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.0,
+            "sunshine": 0.0,
+            "temperature": 11.7,
+            "wind_direction": 190,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 10.7,
+            "relative_humidity": 94,
+            "visibility": 3500,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 210,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 10.6,
+            "relative_humidity": 95,
+            "visibility": 2770,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 8.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.4,
+            "sunshine": 0.0,
+            "temperature": 11.3,
+            "wind_direction": 230,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 10.3,
+            "relative_humidity": 93,
+            "visibility": 2300,
+            "wind_gust_direction": 160,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.3,
+            "sunshine": 0.0,
+            "temperature": 10.9,
+            "wind_direction": 180,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 10.2,
+            "relative_humidity": 95,
+            "visibility": 3330,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 12.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 10.8,
+            "wind_direction": 180,
+            "wind_speed": 8.3,
+            "cloud_cover": 100,
+            "dew_point": 10.1,
+            "relative_humidity": 96,
+            "visibility": 3100,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.09,
+            "sunshine": 0.0,
+            "temperature": 10.7,
+            "wind_direction": 210,
+            "wind_speed": 6.5,
+            "cloud_cover": 100,
+            "dew_point": 9.9,
+            "relative_humidity": 95,
+            "visibility": 2900,
+            "wind_gust_direction": 210,
+            "wind_gust_speed": 14.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.2,
+            "sunshine": 0.0,
+            "temperature": 11.0,
+            "wind_direction": 200,
+            "wind_speed": 8.3,
+            "cloud_cover": 100,
+            "dew_point": 10.3,
+            "relative_humidity": 95,
+            "visibility": 1960,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 16.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.3,
+            "sunshine": 0.0,
+            "temperature": 11.2,
+            "wind_direction": 200,
+            "wind_speed": 9.4,
+            "cloud_cover": 100,
+            "dew_point": 10.0,
+            "relative_humidity": 92,
+            "visibility": 4930,
+            "wind_gust_direction": 220,
+            "wind_gust_speed": 16.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.4,
+            "sunshine": 0.0,
+            "temperature": 11.7,
+            "wind_direction": 200,
+            "wind_speed": 10.8,
+            "cloud_cover": 100,
+            "dew_point": 10.3,
+            "relative_humidity": 91,
+            "visibility": 5410,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.2,
+            "sunshine": 0.0,
+            "temperature": 12.2,
+            "wind_direction": 200,
+            "wind_speed": 10.1,
+            "cloud_cover": 100,
+            "dew_point": 10.4,
+            "relative_humidity": 89,
+            "visibility": 5520,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 14.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 13.1,
+            "wind_direction": 180,
+            "wind_speed": 9.4,
+            "cloud_cover": 100,
+            "dew_point": 10.8,
+            "relative_humidity": 86,
+            "visibility": 6840,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.0,
+            "sunshine": 0.0,
+            "temperature": 14.2,
+            "wind_direction": 190,
+            "wind_speed": 11.9,
+            "cloud_cover": 100,
+            "dew_point": 11.2,
+            "relative_humidity": 82,
+            "visibility": 11920,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 19.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.8,
+            "sunshine": 0.0,
+            "temperature": 14.4,
+            "wind_direction": 210,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 11.2,
+            "relative_humidity": 81,
+            "visibility": 13760,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 13.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.4,
+            "sunshine": 2.0,
+            "temperature": 14.3,
+            "wind_direction": 200,
+            "wind_speed": 7.2,
+            "cloud_cover": 87,
+            "dew_point": 11.4,
+            "relative_humidity": 82,
+            "visibility": 21080,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.2,
+            "sunshine": 13.0,
+            "temperature": 12.0,
+            "wind_direction": 190,
+            "wind_speed": 8.6,
+            "cloud_cover": 100,
+            "dew_point": 10.5,
+            "relative_humidity": 90,
+            "visibility": 16720,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 14.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.59,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 280,
+            "wind_speed": 3.6,
+            "cloud_cover": 75,
+            "dew_point": 9.5,
+            "relative_humidity": 93,
+            "visibility": 8950,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-10-28T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.0,
+            "sunshine": 0.0,
+            "temperature": 9.2,
+            "wind_direction": 330,
+            "wind_speed": 3.2,
+            "cloud_cover": 87,
+            "dew_point": 8.5,
+            "relative_humidity": 95,
+            "visibility": 7810,
+            "wind_gust_direction": 320,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.4,
+            "sunshine": 0.0,
+            "temperature": 8.8,
+            "wind_direction": 170,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 8.3,
+            "relative_humidity": 97,
+            "visibility": 90,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.5,
+            "sunshine": 0.0,
+            "temperature": 9.4,
+            "wind_direction": 190,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 9.1,
+            "relative_humidity": 98,
+            "visibility": 100,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.8,
+            "sunshine": 0.0,
+            "temperature": 8.3,
+            "wind_direction": 200,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 8.0,
+            "relative_humidity": 98,
+            "visibility": 60,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-28T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.8,
+            "sunshine": 0.0,
+            "temperature": 8.2,
+            "wind_direction": 170,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 7.8,
+            "relative_humidity": 97,
+            "visibility": 90,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 6.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.8,
+            "sunshine": 0.0,
+            "temperature": 8.7,
+            "wind_direction": 200,
+            "wind_speed": 3.6,
+            "cloud_cover": 100,
+            "dew_point": 8.4,
+            "relative_humidity": 98,
+            "visibility": 80,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 7.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.8,
+            "sunshine": 0.0,
+            "temperature": 8.1,
+            "wind_direction": 330,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 7.8,
+            "relative_humidity": 98,
+            "visibility": 160,
+            "wind_gust_direction": 310,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.7,
+            "sunshine": 0.0,
+            "temperature": 7.9,
+            "wind_direction": 10,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 7.5,
+            "relative_humidity": 98,
+            "visibility": 100,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 8.3,
+            "wind_direction": 0,
+            "wind_speed": 1.4,
+            "cloud_cover": 100,
+            "dew_point": 8.1,
+            "relative_humidity": 99,
+            "visibility": 120,
+            "wind_gust_direction": 140,
+            "wind_gust_speed": 3.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 8.1,
+            "wind_direction": 320,
+            "wind_speed": 1.8,
+            "cloud_cover": 100,
+            "dew_point": 8.0,
+            "relative_humidity": 99,
+            "visibility": 100,
+            "wind_gust_direction": 310,
+            "wind_gust_speed": 4.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.9,
+            "sunshine": 0.0,
+            "temperature": 8.0,
+            "wind_direction": 20,
+            "wind_speed": 1.4,
+            "cloud_cover": 100,
+            "dew_point": 7.9,
+            "relative_humidity": 99,
+            "visibility": 110,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 5.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.0,
+            "sunshine": 0.0,
+            "temperature": 7.2,
+            "wind_direction": 240,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 7.1,
+            "relative_humidity": 99,
+            "visibility": 110,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 4.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.3,
+            "sunshine": 0.0,
+            "temperature": 7.4,
+            "wind_direction": 10,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 7.3,
+            "relative_humidity": 99,
+            "visibility": 110,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.5,
+            "sunshine": 0.0,
+            "temperature": 7.8,
+            "wind_direction": 350,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 7.6,
+            "relative_humidity": 99,
+            "visibility": 130,
+            "wind_gust_direction": 350,
+            "wind_gust_speed": 5.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.59,
+            "sunshine": 0.0,
+            "temperature": 8.7,
+            "wind_direction": 350,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 8.5,
+            "relative_humidity": 99,
+            "visibility": 170,
+            "wind_gust_direction": 350,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.59,
+            "sunshine": 0.0,
+            "temperature": 9.3,
+            "wind_direction": 340,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 9.0,
+            "relative_humidity": 98,
+            "visibility": 340,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.5,
+            "sunshine": 0.0,
+            "temperature": 10.3,
+            "wind_direction": 10,
+            "wind_speed": 3.6,
+            "cloud_cover": 100,
+            "dew_point": 9.9,
+            "relative_humidity": 97,
+            "visibility": 270,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.2,
+            "sunshine": 0.0,
+            "temperature": 12.1,
+            "wind_direction": 170,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 10.9,
+            "relative_humidity": 92,
+            "visibility": 320,
+            "wind_gust_direction": 160,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 14.4,
+            "wind_direction": 160,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 12.1,
+            "relative_humidity": 86,
+            "visibility": 11100,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 10.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.9,
+            "sunshine": 31.0,
+            "temperature": 16.9,
+            "wind_direction": 170,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 12.4,
+            "relative_humidity": 75,
+            "visibility": 16900,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.7,
+            "sunshine": 32.0,
+            "temperature": 17.0,
+            "wind_direction": 180,
+            "wind_speed": 6.5,
+            "cloud_cover": 87,
+            "dew_point": 11.6,
+            "relative_humidity": 70,
+            "visibility": 34440,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.4,
+            "sunshine": 17.0,
+            "temperature": 15.9,
+            "wind_direction": 210,
+            "wind_speed": 4.3,
+            "cloud_cover": 37,
+            "dew_point": 11.9,
+            "relative_humidity": 77,
+            "visibility": 58950,
+            "wind_gust_direction": 250,
+            "wind_gust_speed": 14.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-10-29T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.59,
+            "sunshine": 52.0,
+            "temperature": 12.5,
+            "wind_direction": 250,
+            "wind_speed": 10.4,
+            "cloud_cover": 50,
+            "dew_point": 10.4,
+            "relative_humidity": 87,
+            "visibility": 47830,
+            "wind_gust_direction": 280,
+            "wind_gust_speed": 18.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-10-29T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.9,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 260,
+            "wind_speed": 6.1,
+            "cloud_cover": 0,
+            "dew_point": 10.0,
+            "relative_humidity": 91,
+            "visibility": 41010,
+            "wind_gust_direction": 270,
+            "wind_gust_speed": 13.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-10-29T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.2,
+            "sunshine": 0.0,
+            "temperature": 10.6,
+            "wind_direction": 200,
+            "wind_speed": 5.4,
+            "cloud_cover": 0,
+            "dew_point": 9.5,
+            "relative_humidity": 93,
+            "visibility": 18250,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-10-29T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 11.2,
+            "wind_direction": 230,
+            "wind_speed": 6.5,
+            "cloud_cover": 12,
+            "dew_point": 10.2,
+            "relative_humidity": 93,
+            "visibility": 7840,
+            "wind_gust_direction": 240,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-10-29T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.5,
+            "sunshine": 0.0,
+            "temperature": 8.7,
+            "wind_direction": 210,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 7.8,
+            "relative_humidity": 94,
+            "visibility": 7370,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 9.0,
+            "wind_direction": 360,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 8.3,
+            "relative_humidity": 95,
+            "visibility": 3850,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 7.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-29T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.59,
+            "sunshine": 0.0,
+            "temperature": 9.2,
+            "wind_direction": 350,
+            "wind_speed": 4.3,
+            "cloud_cover": 87,
+            "dew_point": 8.5,
+            "relative_humidity": 95,
+            "visibility": 7260,
+            "wind_gust_direction": 350,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.8,
+            "sunshine": 0.0,
+            "temperature": 7.8,
+            "wind_direction": 30,
+            "wind_speed": 3.6,
+            "cloud_cover": 50,
+            "dew_point": 7.3,
+            "relative_humidity": 97,
+            "visibility": 180,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 5.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-10-30T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.0,
+            "sunshine": 0.0,
+            "temperature": 6.9,
+            "wind_direction": 240,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 6.5,
+            "relative_humidity": 97,
+            "visibility": 70,
+            "wind_gust_direction": 110,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.2,
+            "sunshine": 0.0,
+            "temperature": 7.6,
+            "wind_direction": 360,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 7.3,
+            "relative_humidity": 98,
+            "visibility": 100,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.09,
+            "sunshine": 0.0,
+            "temperature": 7.3,
+            "wind_direction": 20,
+            "wind_speed": 1.8,
+            "cloud_cover": 100,
+            "dew_point": 7.1,
+            "relative_humidity": 98,
+            "visibility": 100,
+            "wind_gust_direction": 100,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.4,
+            "sunshine": 0.0,
+            "temperature": 8.2,
+            "wind_direction": 350,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 8.2,
+            "relative_humidity": 100,
+            "visibility": 90,
+            "wind_gust_direction": 290,
+            "wind_gust_speed": 5.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.9,
+            "sunshine": 0.0,
+            "temperature": 8.4,
+            "wind_direction": 290,
+            "wind_speed": 1.4,
+            "cloud_cover": 100,
+            "dew_point": 8.3,
+            "relative_humidity": 100,
+            "visibility": 150,
+            "wind_gust_direction": 140,
+            "wind_gust_speed": 5.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.8,
+            "sunshine": 0.0,
+            "temperature": 8.9,
+            "wind_direction": 150,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 8.8,
+            "relative_humidity": 99,
+            "visibility": 7840,
+            "wind_gust_direction": 130,
+            "wind_gust_speed": 4.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.0,
+            "sunshine": 0.0,
+            "temperature": 8.9,
+            "wind_direction": 290,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 8.7,
+            "relative_humidity": 99,
+            "visibility": 2810,
+            "wind_gust_direction": 310,
+            "wind_gust_speed": 6.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.3,
+            "sunshine": 0.0,
+            "temperature": 9.2,
+            "wind_direction": 200,
+            "wind_speed": 2.2,
+            "cloud_cover": 87,
+            "dew_point": 9.0,
+            "relative_humidity": 99,
+            "visibility": 460,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 5.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.4,
+            "sunshine": 0.0,
+            "temperature": 9.7,
+            "wind_direction": 170,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 99,
+            "visibility": 1620,
+            "wind_gust_direction": 130,
+            "wind_gust_speed": 4.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": 10.4,
+            "wind_direction": 180,
+            "wind_speed": 1.8,
+            "cloud_cover": 100,
+            "dew_point": 10.4,
+            "relative_humidity": 100,
+            "visibility": 13580,
+            "wind_gust_direction": 150,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 2.0,
+            "temperature": 11.0,
+            "wind_direction": 180,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 10.2,
+            "relative_humidity": 94,
+            "visibility": 22490,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 9.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 0.0,
+            "temperature": 12.1,
+            "wind_direction": 170,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 10.7,
+            "relative_humidity": 91,
+            "visibility": 17130,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.0,
+            "sunshine": 20.0,
+            "temperature": 12.2,
+            "wind_direction": 180,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 10.4,
+            "relative_humidity": 89,
+            "visibility": 27620,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 14.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.0,
+            "sunshine": 20.0,
+            "temperature": 12.8,
+            "wind_direction": 170,
+            "wind_speed": 10.8,
+            "cloud_cover": 100,
+            "dew_point": 10.6,
+            "relative_humidity": 86,
+            "visibility": 23300,
+            "wind_gust_direction": 160,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.7,
+            "sunshine": 0.0,
+            "temperature": 12.9,
+            "wind_direction": 160,
+            "wind_speed": 10.4,
+            "cloud_cover": 100,
+            "dew_point": 10.5,
+            "relative_humidity": 85,
+            "visibility": 17420,
+            "wind_gust_direction": 160,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.0,
+            "sunshine": 0.0,
+            "temperature": 12.9,
+            "wind_direction": 170,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 10.7,
+            "relative_humidity": 87,
+            "visibility": 12780,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.9,
+            "sunshine": 0.0,
+            "temperature": 12.6,
+            "wind_direction": 150,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 10.5,
+            "relative_humidity": 87,
+            "visibility": 9610,
+            "wind_gust_direction": 160,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.4,
+            "sunshine": 0.0,
+            "temperature": 12.0,
+            "wind_direction": 160,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 10.4,
+            "relative_humidity": 90,
+            "visibility": 10940,
+            "wind_gust_direction": 160,
+            "wind_gust_speed": 5.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 0.0,
+            "temperature": 11.6,
+            "wind_direction": 180,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 10.1,
+            "relative_humidity": 91,
+            "visibility": 7710,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.9,
+            "sunshine": 0.0,
+            "temperature": 11.5,
+            "wind_direction": 180,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 10.1,
+            "relative_humidity": 91,
+            "visibility": 3170,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 6.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.8,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 180,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 10.0,
+            "relative_humidity": 91,
+            "visibility": 3950,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 12.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 190,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 10.2,
+            "relative_humidity": 92,
+            "visibility": 2590,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-30T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.9,
+            "sunshine": 0.0,
+            "temperature": 11.2,
+            "wind_direction": 190,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 10.2,
+            "relative_humidity": 93,
+            "visibility": 2940,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 4.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.9,
+            "sunshine": 0.0,
+            "temperature": 10.4,
+            "wind_direction": 200,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 9.4,
+            "relative_humidity": 93,
+            "visibility": 1970,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 5.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.9,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 200,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 9.3,
+            "relative_humidity": 94,
+            "visibility": 2510,
+            "wind_gust_direction": 220,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.9,
+            "sunshine": 0.0,
+            "temperature": 10.6,
+            "wind_direction": 190,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 9.9,
+            "relative_humidity": 95,
+            "visibility": 2060,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 9.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": 10.4,
+            "wind_direction": 190,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 9.8,
+            "relative_humidity": 96,
+            "visibility": 240,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.5,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 190,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 9.9,
+            "relative_humidity": 96,
+            "visibility": 2970,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 10.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.0,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 210,
+            "wind_speed": 3.6,
+            "cloud_cover": 100,
+            "dew_point": 9.8,
+            "relative_humidity": 95,
+            "visibility": 3290,
+            "wind_gust_direction": 220,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 200,
+            "wind_speed": 4.3,
+            "cloud_cover": 87,
+            "dew_point": 10.0,
+            "relative_humidity": 96,
+            "visibility": 5990,
+            "wind_gust_direction": 220,
+            "wind_gust_speed": 8.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.0,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 190,
+            "wind_speed": 5.4,
+            "cloud_cover": 87,
+            "dew_point": 9.7,
+            "relative_humidity": 94,
+            "visibility": 170,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 9.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.2,
+            "sunshine": 0.0,
+            "temperature": 10.3,
+            "wind_direction": 190,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 9.4,
+            "relative_humidity": 94,
+            "visibility": 5700,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 13.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.5,
+            "sunshine": 0.0,
+            "temperature": 11.1,
+            "wind_direction": 200,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 91,
+            "visibility": 8690,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 9.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.59,
+            "sunshine": 0.0,
+            "temperature": 11.9,
+            "wind_direction": 200,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 9.7,
+            "relative_humidity": 86,
+            "visibility": 15600,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.3,
+            "sunshine": 1.0,
+            "temperature": 11.9,
+            "wind_direction": 210,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 86,
+            "visibility": 25190,
+            "wind_gust_direction": 210,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.9,
+            "sunshine": 2.0,
+            "temperature": 12.9,
+            "wind_direction": 200,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 80,
+            "visibility": 33140,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 15.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.4,
+            "sunshine": 0.0,
+            "temperature": 13.6,
+            "wind_direction": 190,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 8.7,
+            "relative_humidity": 72,
+            "visibility": 36550,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 15.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.9,
+            "sunshine": 0.0,
+            "temperature": 13.8,
+            "wind_direction": 210,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 8.8,
+            "relative_humidity": 72,
+            "visibility": 57100,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 16.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.7,
+            "sunshine": 0.0,
+            "temperature": 14.1,
+            "wind_direction": 190,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 8.7,
+            "relative_humidity": 70,
+            "visibility": 52570,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 14.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.4,
+            "sunshine": 0.0,
+            "temperature": 13.9,
+            "wind_direction": 180,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 8.9,
+            "relative_humidity": 72,
+            "visibility": 45660,
+            "wind_gust_direction": 140,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.3,
+            "sunshine": 0.0,
+            "temperature": 12.9,
+            "wind_direction": 230,
+            "wind_speed": 3.6,
+            "cloud_cover": 100,
+            "dew_point": 8.7,
+            "relative_humidity": 76,
+            "visibility": 51810,
+            "wind_gust_direction": 220,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.3,
+            "sunshine": 0.0,
+            "temperature": 11.6,
+            "wind_direction": 230,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 9.0,
+            "relative_humidity": 84,
+            "visibility": 44110,
+            "wind_gust_direction": 270,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.2,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 110,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 9.2,
+            "relative_humidity": 87,
+            "visibility": 48080,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.59,
+            "sunshine": 0.0,
+            "temperature": 11.7,
+            "wind_direction": 180,
+            "wind_speed": 3.6,
+            "cloud_cover": 87,
+            "dew_point": 9.4,
+            "relative_humidity": 86,
+            "visibility": 30700,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.4,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 170,
+            "wind_speed": 2.9,
+            "cloud_cover": 87,
+            "dew_point": 9.4,
+            "relative_humidity": 87,
+            "visibility": 25400,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 7.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.4,
+            "sunshine": 0.0,
+            "temperature": 11.2,
+            "wind_direction": 180,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 9.3,
+            "relative_humidity": 88,
+            "visibility": 25670,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 8.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-10-31T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.0,
+            "sunshine": 0.0,
+            "temperature": 11.0,
+            "wind_direction": 230,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 9.3,
+            "relative_humidity": 89,
+            "visibility": 24450,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.8,
+            "sunshine": 0.0,
+            "temperature": 10.8,
+            "wind_direction": 210,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 9.4,
+            "relative_humidity": 91,
+            "visibility": 24100,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 6.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.4,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 190,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 9.5,
+            "relative_humidity": 94,
+            "visibility": 20630,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.2,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 210,
+            "wind_speed": 6.5,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 96,
+            "visibility": 24020,
+            "wind_gust_direction": 240,
+            "wind_gust_speed": 12.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.09,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 210,
+            "wind_speed": 9.4,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 96,
+            "visibility": 8730,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 17.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.9,
+            "sunshine": 0.0,
+            "temperature": 10.1,
+            "wind_direction": 250,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 96,
+            "visibility": 5560,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 19.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.1,
+            "pressure_msl": 1026.0,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 250,
+            "wind_speed": 8.3,
+            "cloud_cover": 100,
+            "dew_point": 9.6,
+            "relative_humidity": 96,
+            "visibility": 5030,
+            "wind_gust_direction": 260,
+            "wind_gust_speed": 13.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 239475,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.1,
+            "pressure_msl": 1025.8,
+            "sunshine": 0.0,
+            "temperature": 9.9,
+            "wind_direction": 270,
+            "wind_speed": 7.9,
+            "cloud_cover": 100,
+            "dew_point": 9.2,
+            "relative_humidity": 96,
+            "visibility": 7340,
+            "wind_gust_direction": 260,
+            "wind_gust_speed": 11.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 239475,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.7,
+            "sunshine": 0.0,
+            "temperature": 9.4,
+            "wind_direction": 260,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 8.7,
+            "relative_humidity": 95,
+            "visibility": 6340,
+            "wind_gust_direction": 280,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 334529,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.7,
+            "sunshine": 0.0,
+            "temperature": 9.3,
+            "wind_direction": 220,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 8.5,
+            "relative_humidity": 94,
+            "visibility": 12030,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 17.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.0,
+            "sunshine": 0.0,
+            "temperature": 9.6,
+            "wind_direction": 220,
+            "wind_speed": 11.9,
+            "cloud_cover": 100,
+            "dew_point": 8.4,
+            "relative_humidity": 92,
+            "visibility": 29210,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 21.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.9,
+            "sunshine": 0.0,
+            "temperature": 10.0,
+            "wind_direction": 210,
+            "wind_speed": 12.2,
+            "cloud_cover": 100,
+            "dew_point": 8.6,
+            "relative_humidity": 91,
+            "visibility": 24570,
+            "wind_gust_direction": 210,
+            "wind_gust_speed": 22.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.3,
+            "sunshine": 0.0,
+            "temperature": 10.3,
+            "wind_direction": 200,
+            "wind_speed": 11.9,
+            "cloud_cover": 100,
+            "dew_point": 8.6,
+            "relative_humidity": 89,
+            "visibility": 19290,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 22.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.8,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 220,
+            "wind_speed": 12.6,
+            "cloud_cover": 100,
+            "dew_point": 8.6,
+            "relative_humidity": 88,
+            "visibility": 38750,
+            "wind_gust_direction": 220,
+            "wind_gust_speed": 20.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.2,
+            "sunshine": 0.0,
+            "temperature": 10.7,
+            "wind_direction": 220,
+            "wind_speed": 13.3,
+            "cloud_cover": 100,
+            "dew_point": 8.6,
+            "relative_humidity": 87,
+            "visibility": 47950,
+            "wind_gust_direction": 210,
+            "wind_gust_speed": 24.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1024.7,
+            "sunshine": 0.0,
+            "temperature": 10.9,
+            "wind_direction": 240,
+            "wind_speed": 10.4,
+            "cloud_cover": 100,
+            "dew_point": 8.3,
+            "relative_humidity": 84,
+            "visibility": 39370,
+            "wind_gust_direction": 270,
+            "wind_gust_speed": 21.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1024.3,
+            "sunshine": 0.0,
+            "temperature": 11.2,
+            "wind_direction": 240,
+            "wind_speed": 10.1,
+            "cloud_cover": 100,
+            "dew_point": 8.5,
+            "relative_humidity": 83,
+            "visibility": 45050,
+            "wind_gust_direction": 240,
+            "wind_gust_speed": 18.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1024.0,
+            "sunshine": 0.0,
+            "temperature": 11.3,
+            "wind_direction": 220,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 8.5,
+            "relative_humidity": 83,
+            "visibility": 50820,
+            "wind_gust_direction": 250,
+            "wind_gust_speed": 16.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1024.0,
+            "sunshine": 0.0,
+            "temperature": 10.8,
+            "wind_direction": 200,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 8.2,
+            "relative_humidity": 84,
+            "visibility": 44670,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 19.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1024.4,
+            "sunshine": 0.0,
+            "temperature": 10.6,
+            "wind_direction": 240,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 7.9,
+            "relative_humidity": 83,
+            "visibility": 49650,
+            "wind_gust_direction": 260,
+            "wind_gust_speed": 13.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.0,
+            "sunshine": 0.0,
+            "temperature": 10.3,
+            "wind_direction": 270,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 8.0,
+            "relative_humidity": 86,
+            "visibility": 34320,
+            "wind_gust_direction": 290,
+            "wind_gust_speed": 18.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.59,
+            "sunshine": 0.0,
+            "temperature": 10.1,
+            "wind_direction": 300,
+            "wind_speed": 13.3,
+            "cloud_cover": 100,
+            "dew_point": 7.3,
+            "relative_humidity": 83,
+            "visibility": 28820,
+            "wind_gust_direction": 310,
+            "wind_gust_speed": 23.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1025.9,
+            "sunshine": 0.0,
+            "temperature": 9.8,
+            "wind_direction": 290,
+            "wind_speed": 12.2,
+            "cloud_cover": 100,
+            "dew_point": 6.9,
+            "relative_humidity": 82,
+            "visibility": 27910,
+            "wind_gust_direction": 310,
+            "wind_gust_speed": 20.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.5,
+            "sunshine": 0.0,
+            "temperature": 9.3,
+            "wind_direction": 280,
+            "wind_speed": 10.4,
+            "cloud_cover": 100,
+            "dew_point": 6.6,
+            "relative_humidity": 83,
+            "visibility": 27860,
+            "wind_gust_direction": 270,
+            "wind_gust_speed": 16.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-01T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1026.8,
+            "sunshine": 0.0,
+            "temperature": 9.1,
+            "wind_direction": 300,
+            "wind_speed": 7.9,
+            "cloud_cover": 100,
+            "dew_point": 6.5,
+            "relative_humidity": 84,
+            "visibility": 26550,
+            "wind_gust_direction": 300,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.09,
+            "sunshine": 0.0,
+            "temperature": 9.1,
+            "wind_direction": 330,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 6.4,
+            "relative_humidity": 83,
+            "visibility": 33360,
+            "wind_gust_direction": 340,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.2,
+            "sunshine": 0.0,
+            "temperature": 8.9,
+            "wind_direction": 230,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 6.7,
+            "relative_humidity": 86,
+            "visibility": 30030,
+            "wind_gust_direction": 250,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.4,
+            "sunshine": 0.0,
+            "temperature": 8.7,
+            "wind_direction": 210,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 6.8,
+            "relative_humidity": 88,
+            "visibility": 34110,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.3,
+            "sunshine": 0.0,
+            "temperature": 8.7,
+            "wind_direction": 200,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 6.8,
+            "relative_humidity": 88,
+            "visibility": 27390,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.8,
+            "sunshine": 0.0,
+            "temperature": 8.8,
+            "wind_direction": 190,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 6.8,
+            "relative_humidity": 87,
+            "visibility": 25060,
+            "wind_gust_direction": 220,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.0,
+            "sunshine": 0.0,
+            "temperature": 8.8,
+            "wind_direction": 210,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 7.2,
+            "relative_humidity": 90,
+            "visibility": 23760,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.09,
+            "sunshine": 0.0,
+            "temperature": 8.8,
+            "wind_direction": 190,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 7.1,
+            "relative_humidity": 89,
+            "visibility": 21300,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.8,
+            "sunshine": 0.0,
+            "temperature": 8.8,
+            "wind_direction": 170,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 7.3,
+            "relative_humidity": 90,
+            "visibility": 18210,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.4,
+            "sunshine": 0.0,
+            "temperature": 9.1,
+            "wind_direction": 260,
+            "wind_speed": 1.8,
+            "cloud_cover": 100,
+            "dew_point": 7.4,
+            "relative_humidity": 89,
+            "visibility": 18570,
+            "wind_gust_direction": 320,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.0,
+            "sunshine": 0.0,
+            "temperature": 9.6,
+            "wind_direction": 180,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 7.6,
+            "relative_humidity": 87,
+            "visibility": 19450,
+            "wind_gust_direction": 190,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.5,
+            "sunshine": 0.0,
+            "temperature": 10.5,
+            "wind_direction": 170,
+            "wind_speed": 1.8,
+            "cloud_cover": 100,
+            "dew_point": 8.2,
+            "relative_humidity": 85,
+            "visibility": 20370,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 4.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.4,
+            "sunshine": 0.0,
+            "temperature": 11.4,
+            "wind_direction": 150,
+            "wind_speed": 1.8,
+            "cloud_cover": 87,
+            "dew_point": 8.3,
+            "relative_humidity": 81,
+            "visibility": 32720,
+            "wind_gust_direction": 150,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.4,
+            "sunshine": 10.0,
+            "temperature": 12.3,
+            "wind_direction": 110,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 7.6,
+            "relative_humidity": 73,
+            "visibility": 63890,
+            "wind_gust_direction": 110,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.09,
+            "sunshine": 2.0,
+            "temperature": 13.2,
+            "wind_direction": 90,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 7.8,
+            "relative_humidity": 70,
+            "visibility": 75000,
+            "wind_gust_direction": 80,
+            "wind_gust_speed": 10.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.8,
+            "sunshine": 0.0,
+            "temperature": 12.6,
+            "wind_direction": 110,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 8.2,
+            "relative_humidity": 74,
+            "visibility": 70510,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.7,
+            "sunshine": 0.0,
+            "temperature": 12.6,
+            "wind_direction": 50,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 8.4,
+            "relative_humidity": 76,
+            "visibility": 73670,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.0,
+            "sunshine": 1.0,
+            "temperature": 12.7,
+            "wind_direction": 60,
+            "wind_speed": 7.6,
+            "cloud_cover": 87,
+            "dew_point": 8.7,
+            "relative_humidity": 77,
+            "visibility": 75000,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 15.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.2,
+            "sunshine": 21.0,
+            "temperature": 10.9,
+            "wind_direction": 60,
+            "wind_speed": 9.7,
+            "cloud_cover": 100,
+            "dew_point": 8.3,
+            "relative_humidity": 84,
+            "visibility": 75000,
+            "wind_gust_direction": 80,
+            "wind_gust_speed": 19.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.8,
+            "sunshine": 0.0,
+            "temperature": 10.8,
+            "wind_direction": 50,
+            "wind_speed": 10.4,
+            "cloud_cover": 100,
+            "dew_point": 9.0,
+            "relative_humidity": 88,
+            "visibility": 31130,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 19.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.4,
+            "sunshine": 0.0,
+            "temperature": 11.1,
+            "wind_direction": 50,
+            "wind_speed": 11.5,
+            "cloud_cover": 100,
+            "dew_point": 8.9,
+            "relative_humidity": 86,
+            "visibility": 75000,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 20.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.9,
+            "sunshine": 0.0,
+            "temperature": 10.2,
+            "wind_direction": 50,
+            "wind_speed": 11.5,
+            "cloud_cover": 37,
+            "dew_point": 7.3,
+            "relative_humidity": 82,
+            "visibility": 75000,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 20.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-02T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.7,
+            "sunshine": 0.0,
+            "temperature": 8.3,
+            "wind_direction": 30,
+            "wind_speed": 8.6,
+            "cloud_cover": 100,
+            "dew_point": 5.6,
+            "relative_humidity": 83,
+            "visibility": 73550,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 15.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.8,
+            "sunshine": 0.0,
+            "temperature": 7.2,
+            "wind_direction": 50,
+            "wind_speed": 9.0,
+            "cloud_cover": 87,
+            "dew_point": 5.2,
+            "relative_humidity": 87,
+            "visibility": 64570,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 15.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-02T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.09,
+            "sunshine": 0.0,
+            "temperature": 5.8,
+            "wind_direction": 40,
+            "wind_speed": 5.0,
+            "cloud_cover": 87,
+            "dew_point": 4.0,
+            "relative_humidity": 88,
+            "visibility": 66050,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-03T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.2,
+            "sunshine": 0.0,
+            "temperature": 6.4,
+            "wind_direction": 30,
+            "wind_speed": 5.8,
+            "cloud_cover": 87,
+            "dew_point": 4.4,
+            "relative_humidity": 87,
+            "visibility": 68320,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-03T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.4,
+            "sunshine": 0.0,
+            "temperature": 5.0,
+            "wind_direction": 40,
+            "wind_speed": 7.2,
+            "cloud_cover": 37,
+            "dew_point": 3.4,
+            "relative_humidity": 89,
+            "visibility": 62300,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-03T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.3,
+            "sunshine": 0.0,
+            "temperature": 4.9,
+            "wind_direction": 20,
+            "wind_speed": 6.8,
+            "cloud_cover": 87,
+            "dew_point": 3.6,
+            "relative_humidity": 91,
+            "visibility": 52300,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-03T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.3,
+            "sunshine": 0.0,
+            "temperature": 3.3,
+            "wind_direction": 10,
+            "wind_speed": 9.0,
+            "cloud_cover": 75,
+            "dew_point": 2.5,
+            "relative_humidity": 94,
+            "visibility": 46680,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 13.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-03T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.0,
+            "sunshine": 0.0,
+            "temperature": 2.2,
+            "wind_direction": 10,
+            "wind_speed": 7.6,
+            "cloud_cover": 87,
+            "dew_point": 1.3,
+            "relative_humidity": 94,
+            "visibility": 25080,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 12.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-03T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.9,
+            "sunshine": 0.0,
+            "temperature": 2.4,
+            "wind_direction": 10,
+            "wind_speed": 7.6,
+            "cloud_cover": 37,
+            "dew_point": 1.8,
+            "relative_humidity": 96,
+            "visibility": 31420,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 13.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-03T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.8,
+            "sunshine": 0.0,
+            "temperature": 2.0,
+            "wind_direction": 10,
+            "wind_speed": 5.8,
+            "cloud_cover": 12,
+            "dew_point": 1.4,
+            "relative_humidity": 96,
+            "visibility": 7340,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 8.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-03T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.9,
+            "sunshine": 0.0,
+            "temperature": 1.2,
+            "wind_direction": 360,
+            "wind_speed": 6.1,
+            "cloud_cover": 37,
+            "dew_point": 0.5,
+            "relative_humidity": 95,
+            "visibility": 14380,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-03T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.09,
+            "sunshine": 0.0,
+            "temperature": 1.1,
+            "wind_direction": 360,
+            "wind_speed": 6.1,
+            "cloud_cover": 25,
+            "dew_point": 0.5,
+            "relative_humidity": 96,
+            "visibility": 190,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 9.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-11-03T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.5,
+            "sunshine": 48.0,
+            "temperature": 3.5,
+            "wind_direction": 360,
+            "wind_speed": 6.5,
+            "cloud_cover": 0,
+            "dew_point": 1.6,
+            "relative_humidity": 87,
+            "visibility": 14830,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-day"
+        },
+        {
+            "timestamp": "2024-11-03T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.09,
+            "sunshine": 60.0,
+            "temperature": 6.9,
+            "wind_direction": 10,
+            "wind_speed": 3.6,
+            "cloud_cover": 0,
+            "dew_point": 3.9,
+            "relative_humidity": 81,
+            "visibility": 29490,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-day"
+        },
+        {
+            "timestamp": "2024-11-03T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.59,
+            "sunshine": 60.0,
+            "temperature": 8.5,
+            "wind_direction": 350,
+            "wind_speed": 3.2,
+            "cloud_cover": 37,
+            "dew_point": 4.5,
+            "relative_humidity": 76,
+            "visibility": 35910,
+            "wind_gust_direction": 320,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-11-03T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.0,
+            "sunshine": 60.0,
+            "temperature": 10.4,
+            "wind_direction": 30,
+            "wind_speed": 5.0,
+            "cloud_cover": 62,
+            "dew_point": 5.0,
+            "relative_humidity": 69,
+            "visibility": 40750,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 10.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-11-03T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.3,
+            "sunshine": 60.0,
+            "temperature": 11.9,
+            "wind_direction": 60,
+            "wind_speed": 4.3,
+            "cloud_cover": 37,
+            "dew_point": 5.8,
+            "relative_humidity": 66,
+            "visibility": 45690,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-11-03T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.7,
+            "sunshine": 60.0,
+            "temperature": 12.8,
+            "wind_direction": 90,
+            "wind_speed": 4.7,
+            "cloud_cover": 25,
+            "dew_point": 5.8,
+            "relative_humidity": 62,
+            "visibility": 20640,
+            "wind_gust_direction": 90,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-11-03T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.3,
+            "sunshine": 60.0,
+            "temperature": 12.7,
+            "wind_direction": 70,
+            "wind_speed": 2.9,
+            "cloud_cover": 37,
+            "dew_point": 5.8,
+            "relative_humidity": 63,
+            "visibility": 39980,
+            "wind_gust_direction": 110,
+            "wind_gust_speed": 8.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-11-03T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.8,
+            "sunshine": 60.0,
+            "temperature": 11.9,
+            "wind_direction": 90,
+            "wind_speed": 3.2,
+            "cloud_cover": 25,
+            "dew_point": 5.8,
+            "relative_humidity": 66,
+            "visibility": 52750,
+            "wind_gust_direction": 100,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-day"
+        },
+        {
+            "timestamp": "2024-11-03T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.8,
+            "sunshine": 43.0,
+            "temperature": 8.5,
+            "wind_direction": 90,
+            "wind_speed": 4.0,
+            "cloud_cover": 87,
+            "dew_point": 5.3,
+            "relative_humidity": 80,
+            "visibility": 49460,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-03T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.2,
+            "sunshine": 0.0,
+            "temperature": 5.9,
+            "wind_direction": 70,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 4.1,
+            "relative_humidity": 88,
+            "visibility": 26380,
+            "wind_gust_direction": 80,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-03T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.59,
+            "sunshine": 0.0,
+            "temperature": 4.7,
+            "wind_direction": 50,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 3.5,
+            "relative_humidity": 92,
+            "visibility": 32120,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-03T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.9,
+            "sunshine": 0.0,
+            "temperature": 3.4,
+            "wind_direction": 20,
+            "wind_speed": 5.8,
+            "cloud_cover": 87,
+            "dew_point": 2.4,
+            "relative_humidity": 93,
+            "visibility": 24750,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 8.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-03T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.0,
+            "sunshine": 0.0,
+            "temperature": 2.4,
+            "wind_direction": 40,
+            "wind_speed": 5.8,
+            "cloud_cover": 25,
+            "dew_point": 1.6,
+            "relative_humidity": 95,
+            "visibility": 16220,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-03T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.4,
+            "sunshine": 0.0,
+            "temperature": 1.8,
+            "wind_direction": 10,
+            "wind_speed": 6.1,
+            "cloud_cover": 0,
+            "dew_point": 1.2,
+            "relative_humidity": 96,
+            "visibility": 8920,
+            "wind_gust_direction": 350,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-03T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.7,
+            "sunshine": 0.0,
+            "temperature": 1.1,
+            "wind_direction": 360,
+            "wind_speed": 7.2,
+            "cloud_cover": 0,
+            "dew_point": 0.4,
+            "relative_humidity": 95,
+            "visibility": 6530,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.8,
+            "sunshine": 0.0,
+            "temperature": 0.9,
+            "wind_direction": 10,
+            "wind_speed": 7.2,
+            "cloud_cover": 0,
+            "dew_point": 0.4,
+            "relative_humidity": 96,
+            "visibility": 690,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 9.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.59,
+            "sunshine": 0.0,
+            "temperature": 0.2,
+            "wind_direction": 350,
+            "wind_speed": 7.2,
+            "cloud_cover": 0,
+            "dew_point": -0.3,
+            "relative_humidity": 96,
+            "visibility": 290,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.8,
+            "sunshine": 0.0,
+            "temperature": -0.1,
+            "wind_direction": 10,
+            "wind_speed": 7.2,
+            "cloud_cover": 37,
+            "dew_point": -0.5,
+            "relative_humidity": 97,
+            "visibility": 480,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-04T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.7,
+            "sunshine": 0.0,
+            "temperature": 0.0,
+            "wind_direction": 20,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": -0.3,
+            "relative_humidity": 98,
+            "visibility": 110,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 9.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.7,
+            "sunshine": 0.0,
+            "temperature": 0.2,
+            "wind_direction": 10,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": -0.1,
+            "relative_humidity": 98,
+            "visibility": 110,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.59,
+            "sunshine": 0.0,
+            "temperature": 0.4,
+            "wind_direction": 360,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 0.2,
+            "relative_humidity": 98,
+            "visibility": 160,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.59,
+            "sunshine": 0.0,
+            "temperature": 0.7,
+            "wind_direction": 10,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 0.5,
+            "relative_humidity": 98,
+            "visibility": 120,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.7,
+            "sunshine": 0.0,
+            "temperature": 0.7,
+            "wind_direction": 360,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 0.6,
+            "relative_humidity": 99,
+            "visibility": 120,
+            "wind_gust_direction": 350,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.0,
+            "sunshine": 0.0,
+            "temperature": 1.0,
+            "wind_direction": 360,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 0.6,
+            "relative_humidity": 97,
+            "visibility": 90,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 7.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.2,
+            "sunshine": 0.0,
+            "temperature": 1.8,
+            "wind_direction": 20,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 1.6,
+            "relative_humidity": 98,
+            "visibility": 120,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.0,
+            "sunshine": 0.0,
+            "temperature": 3.1,
+            "wind_direction": 360,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 2.9,
+            "relative_humidity": 99,
+            "visibility": 150,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.7,
+            "sunshine": 0.0,
+            "temperature": 3.4,
+            "wind_direction": 350,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 3.2,
+            "relative_humidity": 99,
+            "visibility": 120,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 7.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.9,
+            "sunshine": 22.0,
+            "temperature": 4.6,
+            "wind_direction": 350,
+            "wind_speed": 3.6,
+            "cloud_cover": 87,
+            "dew_point": 4.0,
+            "relative_humidity": 96,
+            "visibility": 350,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-04T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.9,
+            "sunshine": 60.0,
+            "temperature": 5.5,
+            "wind_direction": 30,
+            "wind_speed": 4.3,
+            "cloud_cover": 0,
+            "dew_point": 4.6,
+            "relative_humidity": 94,
+            "visibility": 21410,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 12.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-day"
+        },
+        {
+            "timestamp": "2024-11-04T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.0,
+            "sunshine": 60.0,
+            "temperature": 8.1,
+            "wind_direction": 10,
+            "wind_speed": 2.9,
+            "cloud_cover": 0,
+            "dew_point": 5.5,
+            "relative_humidity": 84,
+            "visibility": 39060,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-day"
+        },
+        {
+            "timestamp": "2024-11-04T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.5,
+            "sunshine": 60.0,
+            "temperature": 9.5,
+            "wind_direction": 50,
+            "wind_speed": 5.4,
+            "cloud_cover": 0,
+            "dew_point": 6.0,
+            "relative_humidity": 79,
+            "visibility": 36810,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-day"
+        },
+        {
+            "timestamp": "2024-11-04T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.09,
+            "sunshine": 60.0,
+            "temperature": 7.6,
+            "wind_direction": 40,
+            "wind_speed": 5.4,
+            "cloud_cover": 0,
+            "dew_point": 5.6,
+            "relative_humidity": 87,
+            "visibility": 61290,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-day"
+        },
+        {
+            "timestamp": "2024-11-04T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.2,
+            "sunshine": 42.0,
+            "temperature": 4.5,
+            "wind_direction": 40,
+            "wind_speed": 4.3,
+            "cloud_cover": 0,
+            "dew_point": 3.3,
+            "relative_humidity": 92,
+            "visibility": 45940,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.2,
+            "sunshine": 0.0,
+            "temperature": 2.7,
+            "wind_direction": 40,
+            "wind_speed": 4.3,
+            "cloud_cover": 0,
+            "dew_point": 1.8,
+            "relative_humidity": 94,
+            "visibility": 44410,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 7.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 0.0,
+            "temperature": 2.2,
+            "wind_direction": 10,
+            "wind_speed": 6.1,
+            "cloud_cover": 12,
+            "dew_point": 1.7,
+            "relative_humidity": 96,
+            "visibility": 44940,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.0,
+            "sunshine": 0.0,
+            "temperature": 1.9,
+            "wind_direction": 360,
+            "wind_speed": 7.6,
+            "cloud_cover": 0,
+            "dew_point": 1.5,
+            "relative_humidity": 97,
+            "visibility": 47840,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 9.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.09,
+            "sunshine": 0.0,
+            "temperature": 2.1,
+            "wind_direction": 360,
+            "wind_speed": 7.2,
+            "cloud_cover": 0,
+            "dew_point": 1.9,
+            "relative_humidity": 98,
+            "visibility": 37930,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.2,
+            "sunshine": 0.0,
+            "temperature": 2.2,
+            "wind_direction": 10,
+            "wind_speed": 4.0,
+            "cloud_cover": 0,
+            "dew_point": 1.9,
+            "relative_humidity": 98,
+            "visibility": 18950,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-04T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.0,
+            "sunshine": 0.0,
+            "temperature": 2.1,
+            "wind_direction": 10,
+            "wind_speed": 7.6,
+            "cloud_cover": 0,
+            "dew_point": 1.9,
+            "relative_humidity": 99,
+            "visibility": 12300,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 10.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-05T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.8,
+            "sunshine": 0.0,
+            "temperature": 2.1,
+            "wind_direction": 10,
+            "wind_speed": 7.6,
+            "cloud_cover": 12,
+            "dew_point": 1.8,
+            "relative_humidity": 98,
+            "visibility": 6660,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 11.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-05T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": 1.1,
+            "wind_direction": 360,
+            "wind_speed": 8.6,
+            "cloud_cover": 12,
+            "dew_point": 0.9,
+            "relative_humidity": 99,
+            "visibility": 1020,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-05T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 0.0,
+            "temperature": 0.0,
+            "wind_direction": 10,
+            "wind_speed": 7.9,
+            "cloud_cover": 75,
+            "dew_point": -0.4,
+            "relative_humidity": 97,
+            "visibility": 4820,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 12.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-05T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.5,
+            "sunshine": 0.0,
+            "temperature": -0.7,
+            "wind_direction": 360,
+            "wind_speed": 7.9,
+            "cloud_cover": 87,
+            "dew_point": -1.1,
+            "relative_humidity": 97,
+            "visibility": 230,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.3,
+            "sunshine": 0.0,
+            "temperature": -1.0,
+            "wind_direction": 10,
+            "wind_speed": 6.8,
+            "cloud_cover": 87,
+            "dew_point": -1.3,
+            "relative_humidity": 98,
+            "visibility": 1170,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.5,
+            "sunshine": 0.0,
+            "temperature": -1.4,
+            "wind_direction": 10,
+            "wind_speed": 7.2,
+            "cloud_cover": 0,
+            "dew_point": -1.9,
+            "relative_humidity": 96,
+            "visibility": 430,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "clear-night"
+        },
+        {
+            "timestamp": "2024-11-05T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": -1.5,
+            "wind_direction": 10,
+            "wind_speed": 7.9,
+            "cloud_cover": 25,
+            "dew_point": -2.0,
+            "relative_humidity": 96,
+            "visibility": 200,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-05T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.8,
+            "sunshine": 0.0,
+            "temperature": -1.8,
+            "wind_direction": 360,
+            "wind_speed": 7.2,
+            "cloud_cover": 37,
+            "dew_point": -2.2,
+            "relative_humidity": 97,
+            "visibility": 180,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "partly-cloudy-night"
+        },
+        {
+            "timestamp": "2024-11-05T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.2,
+            "sunshine": 0.0,
+            "temperature": -1.0,
+            "wind_direction": 360,
+            "wind_speed": 7.2,
+            "cloud_cover": 87,
+            "dew_point": -1.5,
+            "relative_humidity": 96,
+            "visibility": 250,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.09,
+            "sunshine": 1.0,
+            "temperature": 1.6,
+            "wind_direction": 10,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 1.1,
+            "relative_humidity": 97,
+            "visibility": 150,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 6.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 47.0,
+            "temperature": 2.7,
+            "wind_direction": 10,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 2.2,
+            "relative_humidity": 96,
+            "visibility": 2630,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.2,
+            "sunshine": 41.0,
+            "temperature": 3.6,
+            "wind_direction": 60,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 2.6,
+            "relative_humidity": 93,
+            "visibility": 11070,
+            "wind_gust_direction": 90,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.0,
+            "sunshine": 0.0,
+            "temperature": 4.3,
+            "wind_direction": 100,
+            "wind_speed": 7.9,
+            "cloud_cover": 100,
+            "dew_point": 3.2,
+            "relative_humidity": 92,
+            "visibility": 12260,
+            "wind_gust_direction": 110,
+            "wind_gust_speed": 18.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.7,
+            "sunshine": 0.0,
+            "temperature": 4.7,
+            "wind_direction": 160,
+            "wind_speed": 12.6,
+            "cloud_cover": 100,
+            "dew_point": 3.4,
+            "relative_humidity": 91,
+            "visibility": 13640,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 19.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.5,
+            "sunshine": 0.0,
+            "temperature": 5.3,
+            "wind_direction": 170,
+            "wind_speed": 10.8,
+            "cloud_cover": 100,
+            "dew_point": 3.8,
+            "relative_humidity": 90,
+            "visibility": 14990,
+            "wind_gust_direction": 160,
+            "wind_gust_speed": 19.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.3,
+            "sunshine": 0.0,
+            "temperature": 5.6,
+            "wind_direction": 160,
+            "wind_speed": 8.6,
+            "cloud_cover": 100,
+            "dew_point": 3.8,
+            "relative_humidity": 88,
+            "visibility": 14400,
+            "wind_gust_direction": 170,
+            "wind_gust_speed": 16.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.3,
+            "sunshine": 0.0,
+            "temperature": 5.5,
+            "wind_direction": 150,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 3.8,
+            "relative_humidity": 89,
+            "visibility": 15490,
+            "wind_gust_direction": 150,
+            "wind_gust_speed": 15.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.2,
+            "sunshine": 0.0,
+            "temperature": 5.3,
+            "wind_direction": 140,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 4.2,
+            "relative_humidity": 93,
+            "visibility": 12550,
+            "wind_gust_direction": 150,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.5,
+            "sunshine": 0.0,
+            "temperature": 5.2,
+            "wind_direction": 100,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 4.4,
+            "relative_humidity": 95,
+            "visibility": 3050,
+            "wind_gust_direction": 110,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.4,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 360,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 4.3,
+            "relative_humidity": 93,
+            "visibility": 470,
+            "wind_gust_direction": 340,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.5,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 350,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 4.4,
+            "relative_humidity": 93,
+            "visibility": 320,
+            "wind_gust_direction": 350,
+            "wind_gust_speed": 7.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.59,
+            "sunshine": 0.0,
+            "temperature": 5.5,
+            "wind_direction": 350,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 4.7,
+            "relative_humidity": 94,
+            "visibility": 350,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.5,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 10,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 4.8,
+            "relative_humidity": 96,
+            "visibility": 200,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 6.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-05T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.7,
+            "sunshine": 0.0,
+            "temperature": 5.3,
+            "wind_direction": 10,
+            "wind_speed": 3.6,
+            "cloud_cover": 100,
+            "dew_point": 4.9,
+            "relative_humidity": 97,
+            "visibility": 170,
+            "wind_gust_direction": 360,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.9,
+            "sunshine": 0.0,
+            "temperature": 5.2,
+            "wind_direction": 10,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 4.8,
+            "relative_humidity": 97,
+            "visibility": 210,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 4.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.0,
+            "sunshine": 0.0,
+            "temperature": 5.1,
+            "wind_direction": 10,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 4.7,
+            "relative_humidity": 97,
+            "visibility": 170,
+            "wind_gust_direction": 10,
+            "wind_gust_speed": 3.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.0,
+            "sunshine": 0.0,
+            "temperature": 5.1,
+            "wind_direction": 200,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 4.7,
+            "relative_humidity": 97,
+            "visibility": 690,
+            "wind_gust_direction": 180,
+            "wind_gust_speed": 6.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.09,
+            "sunshine": 0.0,
+            "temperature": 4.9,
+            "wind_direction": 200,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 4.5,
+            "relative_humidity": 97,
+            "visibility": 900,
+            "wind_gust_direction": 220,
+            "wind_gust_speed": 9.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.1,
+            "pressure_msl": 1028.09,
+            "sunshine": 0.0,
+            "temperature": 5.0,
+            "wind_direction": 190,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 4.4,
+            "relative_humidity": 96,
+            "visibility": 2150,
+            "wind_gust_direction": 200,
+            "wind_gust_speed": 8.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.5,
+            "sunshine": 0.0,
+            "temperature": 5.0,
+            "wind_direction": 210,
+            "wind_speed": 2.5,
+            "cloud_cover": 100,
+            "dew_point": 4.5,
+            "relative_humidity": 97,
+            "visibility": 2410,
+            "wind_gust_direction": 240,
+            "wind_gust_speed": 5.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": 5.1,
+            "wind_direction": 180,
+            "wind_speed": 1.8,
+            "cloud_cover": 100,
+            "dew_point": 4.8,
+            "relative_humidity": 98,
+            "visibility": 3520,
+            "wind_gust_direction": 230,
+            "wind_gust_speed": 4.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "condition": 311981,
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.2,
+            "sunshine": 0.0,
+            "temperature": 5.2,
+            "wind_direction": 160,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 4.6,
+            "relative_humidity": 96,
+            "visibility": 900,
+            "wind_gust_direction": 110,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.7,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 120,
+            "wind_speed": 1.8,
+            "cloud_cover": 100,
+            "dew_point": 4.9,
+            "relative_humidity": 96,
+            "visibility": 12750,
+            "wind_gust_direction": 260,
+            "wind_gust_speed": 4.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.5,
+            "sunshine": 0.0,
+            "temperature": 5.6,
+            "wind_direction": 340,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 4.8,
+            "relative_humidity": 95,
+            "visibility": 6980,
+            "wind_gust_direction": 310,
+            "wind_gust_speed": 5.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.9,
+            "sunshine": 0.0,
+            "temperature": 6.0,
+            "wind_direction": 360,
+            "wind_speed": 3.2,
+            "cloud_cover": 100,
+            "dew_point": 4.3,
+            "relative_humidity": 89,
+            "visibility": 15760,
+            "wind_gust_direction": 300,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.5,
+            "sunshine": 0.0,
+            "temperature": 6.4,
+            "wind_direction": 30,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 4.4,
+            "relative_humidity": 87,
+            "visibility": 29630,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.59,
+            "sunshine": 0.0,
+            "temperature": 6.6,
+            "wind_direction": 20,
+            "wind_speed": 3.6,
+            "cloud_cover": 100,
+            "dew_point": 4.2,
+            "relative_humidity": 85,
+            "visibility": 19110,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.7,
+            "sunshine": 0.0,
+            "temperature": 6.7,
+            "wind_direction": 360,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 4.0,
+            "relative_humidity": 83,
+            "visibility": 25120,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.5,
+            "sunshine": 0.0,
+            "temperature": 6.7,
+            "wind_direction": 340,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 4.2,
+            "relative_humidity": 84,
+            "visibility": 28400,
+            "wind_gust_direction": 330,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.59,
+            "sunshine": 0.0,
+            "temperature": 6.5,
+            "wind_direction": 90,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 4.1,
+            "relative_humidity": 84,
+            "visibility": 25950,
+            "wind_gust_direction": 90,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.8,
+            "sunshine": 0.0,
+            "temperature": 6.3,
+            "wind_direction": 90,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 3.8,
+            "relative_humidity": 84,
+            "visibility": 22070,
+            "wind_gust_direction": 90,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.09,
+            "sunshine": 0.0,
+            "temperature": 6.1,
+            "wind_direction": 100,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 3.8,
+            "relative_humidity": 85,
+            "visibility": 22360,
+            "wind_gust_direction": 120,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.3,
+            "sunshine": 0.0,
+            "temperature": 5.9,
+            "wind_direction": 110,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 3.9,
+            "relative_humidity": 87,
+            "visibility": 17470,
+            "wind_gust_direction": 100,
+            "wind_gust_speed": 11.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.59,
+            "sunshine": 0.0,
+            "temperature": 5.6,
+            "wind_direction": 50,
+            "wind_speed": 2.2,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 84,
+            "visibility": 18050,
+            "wind_gust_direction": 90,
+            "wind_gust_speed": 7.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.8,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 50,
+            "wind_speed": 4.7,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 85,
+            "visibility": 16940,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.2,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 60,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 3.3,
+            "relative_humidity": 86,
+            "visibility": 16260,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.59,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 60,
+            "wind_speed": 4.3,
+            "cloud_cover": 100,
+            "dew_point": 3.0,
+            "relative_humidity": 85,
+            "visibility": 14540,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-06T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.7,
+            "sunshine": 0.0,
+            "temperature": 5.2,
+            "wind_direction": 50,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 2.8,
+            "relative_humidity": 84,
+            "visibility": 14150,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 8.6,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.8,
+            "sunshine": 0.0,
+            "temperature": 5.1,
+            "wind_direction": 70,
+            "wind_speed": 6.5,
+            "cloud_cover": 100,
+            "dew_point": 2.8,
+            "relative_humidity": 85,
+            "visibility": 17300,
+            "wind_gust_direction": 80,
+            "wind_gust_speed": 15.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T01:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.7,
+            "sunshine": 0.0,
+            "temperature": 5.0,
+            "wind_direction": 50,
+            "wind_speed": 6.5,
+            "cloud_cover": 100,
+            "dew_point": 2.9,
+            "relative_humidity": 86,
+            "visibility": 20750,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 12.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T02:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.7,
+            "sunshine": 0.0,
+            "temperature": 4.9,
+            "wind_direction": 40,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 2.7,
+            "relative_humidity": 85,
+            "visibility": 19330,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 10.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T03:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.59,
+            "sunshine": 0.0,
+            "temperature": 5.0,
+            "wind_direction": 30,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 2.4,
+            "relative_humidity": 83,
+            "visibility": 17310,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T04:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.5,
+            "sunshine": 0.0,
+            "temperature": 5.1,
+            "wind_direction": 80,
+            "wind_speed": 7.2,
+            "cloud_cover": 100,
+            "dew_point": 2.8,
+            "relative_humidity": 85,
+            "visibility": 28980,
+            "wind_gust_direction": 90,
+            "wind_gust_speed": 15.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T05:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.4,
+            "sunshine": 0.0,
+            "temperature": 5.1,
+            "wind_direction": 90,
+            "wind_speed": 7.6,
+            "cloud_cover": 100,
+            "dew_point": 2.7,
+            "relative_humidity": 84,
+            "visibility": 22600,
+            "wind_gust_direction": 110,
+            "wind_gust_speed": 19.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T06:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.2,
+            "sunshine": 0.0,
+            "temperature": 5.0,
+            "wind_direction": 40,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 2.8,
+            "relative_humidity": 86,
+            "visibility": 21600,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 10.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T07:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.3,
+            "sunshine": 0.0,
+            "temperature": 5.2,
+            "wind_direction": 40,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 2.7,
+            "relative_humidity": 84,
+            "visibility": 19120,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 11.5,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T08:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.8,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 30,
+            "wind_speed": 5.4,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 85,
+            "visibility": 16970,
+            "wind_gust_direction": 20,
+            "wind_gust_speed": 11.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T09:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1034.2,
+            "sunshine": 0.0,
+            "temperature": 5.7,
+            "wind_direction": 60,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 83,
+            "visibility": 20190,
+            "wind_gust_direction": 80,
+            "wind_gust_speed": 14.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T10:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1034.4,
+            "sunshine": 0.0,
+            "temperature": 6.0,
+            "wind_direction": 70,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 82,
+            "visibility": 20410,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 16.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T11:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1034.5,
+            "sunshine": 0.0,
+            "temperature": 6.1,
+            "wind_direction": 60,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 81,
+            "visibility": 23940,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 18.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T12:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1034.0,
+            "sunshine": 0.0,
+            "temperature": 6.4,
+            "wind_direction": 90,
+            "wind_speed": 7.9,
+            "cloud_cover": 100,
+            "dew_point": 3.3,
+            "relative_humidity": 80,
+            "visibility": 22710,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 18.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T13:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.7,
+            "sunshine": 0.0,
+            "temperature": 6.3,
+            "wind_direction": 80,
+            "wind_speed": 9.4,
+            "cloud_cover": 100,
+            "dew_point": 2.7,
+            "relative_humidity": 78,
+            "visibility": 22430,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 18.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T14:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.3,
+            "sunshine": 0.0,
+            "temperature": 6.5,
+            "wind_direction": 50,
+            "wind_speed": 7.9,
+            "cloud_cover": 100,
+            "dew_point": 3.2,
+            "relative_humidity": 79,
+            "visibility": 23210,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 19.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T15:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.9,
+            "sunshine": 0.0,
+            "temperature": 6.7,
+            "wind_direction": 50,
+            "wind_speed": 7.2,
+            "cloud_cover": 100,
+            "dew_point": 3.0,
+            "relative_humidity": 77,
+            "visibility": 23220,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 14.4,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T16:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.8,
+            "sunshine": 0.0,
+            "temperature": 6.6,
+            "wind_direction": 50,
+            "wind_speed": 8.3,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 78,
+            "visibility": 24990,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 16.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T17:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.7,
+            "sunshine": 0.0,
+            "temperature": 6.5,
+            "wind_direction": 60,
+            "wind_speed": 5.8,
+            "cloud_cover": 100,
+            "dew_point": 2.9,
+            "relative_humidity": 78,
+            "visibility": 23620,
+            "wind_gust_direction": 30,
+            "wind_gust_speed": 9.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T18:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.8,
+            "sunshine": 0.0,
+            "temperature": 6.2,
+            "wind_direction": 60,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 80,
+            "visibility": 20330,
+            "wind_gust_direction": 90,
+            "wind_gust_speed": 13.7,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T19:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.9,
+            "sunshine": 0.0,
+            "temperature": 6.2,
+            "wind_direction": 70,
+            "wind_speed": 4.0,
+            "cloud_cover": 100,
+            "dew_point": 2.7,
+            "relative_humidity": 78,
+            "visibility": 23590,
+            "wind_gust_direction": 40,
+            "wind_gust_speed": 8.3,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T20:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.0,
+            "sunshine": 0.0,
+            "temperature": 6.1,
+            "wind_direction": 70,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 81,
+            "visibility": 18610,
+            "wind_gust_direction": 100,
+            "wind_gust_speed": 19.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T21:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.2,
+            "sunshine": 0.0,
+            "temperature": 6.0,
+            "wind_direction": 80,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 82,
+            "visibility": 15020,
+            "wind_gust_direction": 100,
+            "wind_gust_speed": 20.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T22:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.4,
+            "sunshine": 0.0,
+            "temperature": 6.0,
+            "wind_direction": 80,
+            "wind_speed": 9.4,
+            "cloud_cover": 100,
+            "dew_point": 3.1,
+            "relative_humidity": 82,
+            "visibility": 14560,
+            "wind_gust_direction": 70,
+            "wind_gust_speed": 20.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-07T23:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.09,
+            "sunshine": 0.0,
+            "temperature": 5.8,
+            "wind_direction": 60,
+            "wind_speed": 9.4,
+            "cloud_cover": 100,
+            "dew_point": 2.9,
+            "relative_humidity": 82,
+            "visibility": 14290,
+            "wind_gust_direction": 50,
+            "wind_gust_speed": 20.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T00:00:00+01:00",
+            "source_id": 46567,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.09,
+            "sunshine": 0.0,
+            "temperature": 5.7,
+            "wind_direction": 60,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 2.8,
+            "relative_humidity": 82,
+            "visibility": 13230,
+            "wind_gust_direction": 60,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 219419,
+                "pressure_msl": 219419,
+                "cloud_cover": 219419,
+                "wind_gust_direction": 219419,
+                "wind_direction": 219419,
+                "wind_speed": 219419,
+                "sunshine": 219419,
+                "visibility": 219419
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T01:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1033.0,
+            "sunshine": 0.0,
+            "temperature": 5.6,
+            "wind_direction": 80,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 2.9,
+            "relative_humidity": 83,
+            "visibility": 10600,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 19.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T02:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.59,
+            "sunshine": 0.0,
+            "temperature": 5.3,
+            "wind_direction": 50,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 2.7,
+            "relative_humidity": 83,
+            "visibility": 10300,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T03:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1032.0,
+            "sunshine": 0.0,
+            "temperature": 5.1,
+            "wind_direction": 40,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 2.7,
+            "relative_humidity": 84,
+            "visibility": 10800,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T04:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.5,
+            "sunshine": 0.0,
+            "temperature": 4.8,
+            "wind_direction": 50,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 2.3,
+            "relative_humidity": 84,
+            "visibility": 10600,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T05:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.4,
+            "sunshine": 0.0,
+            "temperature": 4.9,
+            "wind_direction": 40,
+            "wind_speed": 11.9,
+            "cloud_cover": 100,
+            "dew_point": 2.4,
+            "relative_humidity": 84,
+            "visibility": 11200,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 20.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T06:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1031.09,
+            "sunshine": 0.0,
+            "temperature": 4.6,
+            "wind_direction": 30,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 2.2,
+            "relative_humidity": 84,
+            "visibility": 11200,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 20.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T07:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.7,
+            "sunshine": 0.0,
+            "temperature": 4.5,
+            "wind_direction": 30,
+            "wind_speed": 10.1,
+            "cloud_cover": 100,
+            "dew_point": 2.1,
+            "relative_humidity": 84,
+            "visibility": 13800,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 20.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T08:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.59,
+            "sunshine": 0.0,
+            "temperature": 4.6,
+            "wind_direction": 20,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 2.1,
+            "relative_humidity": 84,
+            "visibility": 14300,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 18.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T09:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.5,
+            "sunshine": 0.0,
+            "temperature": 4.9,
+            "wind_direction": 350,
+            "wind_speed": 2.9,
+            "cloud_cover": 100,
+            "dew_point": 2.5,
+            "relative_humidity": 84,
+            "visibility": 13200,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 16.9,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T10:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.3,
+            "sunshine": 0.0,
+            "temperature": 5.0,
+            "wind_direction": 40,
+            "wind_speed": 5.0,
+            "cloud_cover": 100,
+            "dew_point": 2.8,
+            "relative_humidity": 86,
+            "visibility": 12300,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 10.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T11:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1030.2,
+            "sunshine": 0.0,
+            "temperature": 5.1,
+            "wind_direction": 60,
+            "wind_speed": 6.8,
+            "cloud_cover": 100,
+            "dew_point": 3.6,
+            "relative_humidity": 90,
+            "visibility": 11900,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 14.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T12:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1029.5,
+            "sunshine": 0.0,
+            "temperature": 5.8,
+            "wind_direction": 70,
+            "wind_speed": 7.9,
+            "cloud_cover": 100,
+            "dew_point": 4.7,
+            "relative_humidity": 93,
+            "visibility": 9500,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 13.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T13:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.8,
+            "sunshine": 0.0,
+            "temperature": 6.3,
+            "wind_direction": 70,
+            "wind_speed": 6.1,
+            "cloud_cover": 100,
+            "dew_point": 5.1,
+            "relative_humidity": 92,
+            "visibility": 14500,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 15.8,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T14:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.1,
+            "pressure_msl": 1028.4,
+            "sunshine": 0.0,
+            "temperature": 6.6,
+            "wind_direction": 90,
+            "wind_speed": 11.2,
+            "cloud_cover": 100,
+            "dew_point": 5.1,
+            "relative_humidity": 90,
+            "visibility": 17100,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 19.1,
+            "condition": "rain",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T15:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.4,
+            "sunshine": 0.0,
+            "temperature": 6.1,
+            "wind_direction": 130,
+            "wind_speed": 14.0,
+            "cloud_cover": 88,
+            "dew_point": 4.9,
+            "relative_humidity": 92,
+            "visibility": 10200,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 22.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T16:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.3,
+            "sunshine": 0.0,
+            "temperature": 6.2,
+            "wind_direction": 120,
+            "wind_speed": 13.0,
+            "cloud_cover": 100,
+            "dew_point": 4.7,
+            "relative_humidity": 90,
+            "visibility": 12000,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 20.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T17:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.2,
+            "sunshine": 0.0,
+            "temperature": 6.2,
+            "wind_direction": 110,
+            "wind_speed": 11.2,
+            "cloud_cover": 100,
+            "dew_point": 4.4,
+            "relative_humidity": 88,
+            "visibility": 7900,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 19.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T18:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": 6.0,
+            "wind_direction": 130,
+            "wind_speed": 15.1,
+            "cloud_cover": 100,
+            "dew_point": 4.0,
+            "relative_humidity": 87,
+            "visibility": 9200,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 23.0,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T19:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 0.0,
+            "temperature": 5.9,
+            "wind_direction": 140,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 3.9,
+            "relative_humidity": 87,
+            "visibility": 9500,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 24.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T20:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 0.0,
+            "temperature": 5.8,
+            "wind_direction": 140,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 3.7,
+            "relative_humidity": 86,
+            "visibility": 10100,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 24.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T21:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.59,
+            "sunshine": 0.0,
+            "temperature": 5.8,
+            "wind_direction": 140,
+            "wind_speed": 9.0,
+            "cloud_cover": 100,
+            "dew_point": 3.5,
+            "relative_humidity": 85,
+            "visibility": 9900,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 24.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T22:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": 5.6,
+            "wind_direction": 150,
+            "wind_speed": 10.1,
+            "cloud_cover": 100,
+            "dew_point": 3.0,
+            "relative_humidity": 83,
+            "visibility": 17700,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 24.1,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-08T23:00:00+01:00",
+            "source_id": 6705,
+            "precipitation": 0.0,
+            "pressure_msl": 1028.7,
+            "sunshine": 0.0,
+            "temperature": 5.4,
+            "wind_direction": 130,
+            "wind_speed": 10.1,
+            "cloud_cover": 100,
+            "dew_point": 2.9,
+            "relative_humidity": 84,
+            "visibility": 15500,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 20.2,
+            "condition": "dry",
+            "precipitation_probability": null,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "fallback_source_ids": {
+                "wind_gust_speed": 6225,
+                "pressure_msl": 6225,
+                "cloud_cover": 6225,
+                "wind_direction": 6225,
+                "wind_speed": 6225,
+                "sunshine": 6225,
+                "visibility": 6225,
+                "condition": 6225
+            },
+            "icon": "cloudy"
+        },
+        {
+            "timestamp": "2024-11-09T00:00:00+01:00",
+            "source_id": 1602,
+            "precipitation": 0.0,
+            "pressure_msl": 1027.4,
+            "sunshine": 0.0,
+            "temperature": 5.3,
+            "wind_direction": 87,
+            "wind_speed": 5.5,
+            "cloud_cover": 86,
+            "dew_point": 2.8,
+            "relative_humidity": null,
+            "visibility": 8700,
+            "wind_gust_direction": null,
+            "wind_gust_speed": 13.0,
+            "condition": "dry",
+            "precipitation_probability": 1,
+            "precipitation_probability_6h": null,
+            "solar": null,
+            "icon": "cloudy"
+        }
+    ],
+    "sources": [
+        {
+            "id": 46567,
+            "dwd_station_id": "00191",
+            "observation_type": "historical",
+            "lat": 49.9694,
+            "lon": 9.9114,
+            "height": 216.5,
+            "station_name": "Arnstein-M\u00fcdesheim",
+            "wmo_station_id": "P125",
+            "first_record": "2010-01-01T00:00:00+00:00",
+            "last_record": "2024-11-07T23:00:00+00:00",
+            "distance": 7199.0
+        },
+        {
+            "id": 311981,
+            "dwd_station_id": "01997",
+            "observation_type": "historical",
+            "lat": 50.1219,
+            "lon": 9.9079,
+            "height": 220.0,
+            "station_name": "Hammelburg",
+            "wmo_station_id": "P122",
+            "first_record": "2022-07-09T00:00:00+00:00",
+            "last_record": "2024-11-07T23:00:00+00:00",
+            "distance": 15082.0
+        },
+        {
+            "id": 239475,
+            "dwd_station_id": "04016",
+            "observation_type": "historical",
+            "lat": 49.8526,
+            "lon": 10.1006,
+            "height": 282.5,
+            "station_name": "Prosselsheim-Seligenstadt",
+            "wmo_station_id": "P138",
+            "first_record": "2010-01-01T00:00:00+00:00",
+            "last_record": "2024-11-07T23:00:00+00:00",
+            "distance": 17923.0
+        },
+        {
+            "id": 334529,
+            "dwd_station_id": "06287",
+            "observation_type": "historical",
+            "lat": 50.1141,
+            "lon": 9.735,
+            "height": 160.0,
+            "station_name": "Gr\u00e4fendorf,Kr.Main-Spessart",
+            "wmo_station_id": "P120",
+            "first_record": "2023-05-08T00:00:00+00:00",
+            "last_record": "2024-11-07T23:00:00+00:00",
+            "distance": 22804.0
+        },
+        {
+            "id": 219419,
+            "dwd_station_id": "02597",
+            "observation_type": "historical",
+            "lat": 50.224,
+            "lon": 10.0792,
+            "height": 281.73,
+            "station_name": "Kissingen, Bad",
+            "wmo_station_id": "10658",
+            "first_record": "2010-01-01T00:00:00+00:00",
+            "last_record": "2024-11-07T23:00:00+00:00",
+            "distance": 25569.0
+        },
+        {
+            "id": 6705,
+            "dwd_station_id": "00191",
+            "observation_type": "current",
+            "lat": 49.97,
+            "lon": 9.92,
+            "height": 220.0,
+            "station_name": "ARNSTEIN-MUEDESHEIM",
+            "wmo_station_id": "P125",
+            "first_record": "2024-11-07T00:00:00+00:00",
+            "last_record": "2024-11-08T22:00:00+00:00",
+            "distance": 6629.0
+        },
+        {
+            "id": 6225,
+            "dwd_station_id": "02597",
+            "observation_type": "current",
+            "lat": 50.2,
+            "lon": 10.08,
+            "height": 262.0,
+            "station_name": "KISSINGEN",
+            "wmo_station_id": "10658",
+            "first_record": "2024-11-07T00:00:00+00:00",
+            "last_record": "2024-11-08T22:00:00+00:00",
+            "distance": 22985.0
+        },
+        {
+            "id": 1602,
+            "dwd_station_id": "00191",
+            "observation_type": "forecast",
+            "lat": 49.97,
+            "lon": 9.92,
+            "height": 220.0,
+            "station_name": "ARNSTEIN-MUEDESHEIM",
+            "wmo_station_id": "P125",
+            "first_record": "2024-11-08T21:00:00+00:00",
+            "last_record": "2024-11-19T04:00:00+00:00",
+            "distance": 6629.0
+        }
+    ]
+}
\ No newline at end of file
diff --git a/tests/testdata/weatherforecast_brightsky_2.json b/tests/testdata/weatherforecast_brightsky_2.json
new file mode 100644
index 0000000..64c7718
--- /dev/null
+++ b/tests/testdata/weatherforecast_brightsky_2.json
@@ -0,0 +1,340 @@
+[
+    "{\"date_time\":\"2024-10-25T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":140.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.5700713856497344,\"wind_speed\":4.7,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":6.2,\"feels_like\":null,\"dew_point\":5.8,\"relative_humidity\":97.0,\"pressure\":1022.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":90.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6249985327562004,\"wind_speed\":6.1,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":6.6,\"feels_like\":null,\"dew_point\":6.3,\"relative_humidity\":98.0,\"pressure\":1023.1,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":740.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7334253361156824,\"wind_speed\":3.6,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":7.5,\"feels_like\":null,\"dew_point\":7.3,\"relative_humidity\":99.0,\"pressure\":1023.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":580.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8455721653466037,\"wind_speed\":2.9,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":8.7,\"feels_like\":null,\"dew_point\":8.5,\"relative_humidity\":98.0,\"pressure\":1022.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":140.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9376328848315296,\"wind_speed\":4.7,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":9.5,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":98.0,\"pressure\":1022.6,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T04:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":250.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9532243896939583,\"wind_speed\":4.7,\"wind_direction\":80.0,\"frost_chance\":null,\"temp_air\":9.8,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":97.0,\"pressure\":1022.6,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2280.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9807797336643354,\"wind_speed\":6.1,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.5,\"relative_humidity\":96.0,\"pressure\":1022.6,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2650.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9601466114386656,\"wind_speed\":7.6,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":95.0,\"pressure\":1022.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2290.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9395134892129953,\"wind_speed\":8.3,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":94.0,\"pressure\":1022.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2530.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9721291734030872,\"wind_speed\":7.6,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":10.3,\"feels_like\":null,\"dew_point\":9.5,\"relative_humidity\":95.0,\"pressure\":1022.4,\"ozone\":null,\"ghi\":22.22705922303379,\"dni\":0.0,\"dhi\":22.22705922303379}",
+    "{\"date_time\":\"2024-10-26T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":1660.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9601466114386656,\"wind_speed\":6.8,\"wind_direction\":80.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":95.0,\"pressure\":1022.4,\"ozone\":null,\"ghi\":68.16265202099999,\"dni\":0.0,\"dhi\":68.16265202099999}",
+    "{\"date_time\":\"2024-10-26T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":4420.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9395134892129953,\"wind_speed\":7.2,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":94.0,\"pressure\":1022.1,\"ozone\":null,\"ghi\":108.0100746278567,\"dni\":0.0,\"dhi\":108.0100746278567}",
+    "{\"date_time\":\"2024-10-26T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2010.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9513699189462126,\"wind_speed\":7.6,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":10.3,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":94.0,\"pressure\":1021.8,\"ozone\":null,\"ghi\":134.2816493853918,\"dni\":0.0,\"dhi\":134.2816493853918}",
+    "{\"date_time\":\"2024-10-26T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":4340.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8683329011187144,\"wind_speed\":7.9,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":10.3,\"feels_like\":null,\"dew_point\":8.8,\"relative_humidity\":90.0,\"pressure\":1021.2,\"ozone\":null,\"ghi\":144.04237088707308,\"dni\":0.0,\"dhi\":144.04237088707308}",
+    "{\"date_time\":\"2024-10-26T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":9060.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9164012929980223,\"wind_speed\":7.6,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":10.9,\"feels_like\":null,\"dew_point\":9.2,\"relative_humidity\":89.0,\"pressure\":1020.8,\"ozone\":null,\"ghi\":136.35519419190516,\"dni\":0.0,\"dhi\":136.35519419190516}",
+    "{\"date_time\":\"2024-10-26T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":13650.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.979008294319185,\"wind_speed\":6.8,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":11.8,\"feels_like\":null,\"dew_point\":9.7,\"relative_humidity\":87.0,\"pressure\":1020.0,\"ozone\":null,\"ghi\":111.94730962791996,\"dni\":0.0,\"dhi\":111.94730962791996}",
+    "{\"date_time\":\"2024-10-26T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17560.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9946143405085994,\"wind_speed\":7.2,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":12.9,\"feels_like\":null,\"dew_point\":9.8,\"relative_humidity\":82.0,\"pressure\":1019.8,\"ozone\":null,\"ghi\":73.45834328182735,\"dni\":0.0,\"dhi\":73.45834328182735}",
+    "{\"date_time\":\"2024-10-26T16:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17960.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9099689648264042,\"wind_speed\":8.3,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":12.8,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":79.0,\"pressure\":1019.2,\"ozone\":null,\"ghi\":34.07062080450064,\"dni\":0.0,\"dhi\":34.07062080450064}",
+    "{\"date_time\":\"2024-10-26T17:00:00+01:00\",\"total_clouds\":62.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14910.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.843603353612786,\"wind_speed\":6.8,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":9.9,\"feels_like\":null,\"dew_point\":8.5,\"relative_humidity\":91.0,\"pressure\":1018.8,\"ozone\":null,\"ghi\":0.11256372587508819,\"dni\":0.0,\"dhi\":0.11256372587508819}",
+    "{\"date_time\":\"2024-10-26T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":6400.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7277309224807302,\"wind_speed\":5.4,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":8.3,\"feels_like\":null,\"dew_point\":7.5,\"relative_humidity\":94.0,\"pressure\":1018.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":720.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6911147392871873,\"wind_speed\":5.4,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":7.6,\"feels_like\":null,\"dew_point\":6.9,\"relative_humidity\":96.0,\"pressure\":1018.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T20:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5730.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6378354583834347,\"wind_speed\":4.7,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":6.9,\"feels_like\":null,\"dew_point\":6.4,\"relative_humidity\":97.0,\"pressure\":1018.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T21:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":90.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.618159751885058,\"wind_speed\":4.7,\"wind_direction\":340.0,\"frost_chance\":null,\"temp_air\":6.7,\"feels_like\":null,\"dew_point\":6.3,\"relative_humidity\":97.0,\"pressure\":1018.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T22:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":90.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7087305178214287,\"wind_speed\":7.2,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":7.6,\"feels_like\":null,\"dew_point\":7.1,\"relative_humidity\":97.0,\"pressure\":1019.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-26T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":200.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.764491154873937,\"wind_speed\":10.4,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":8.3,\"feels_like\":null,\"dew_point\":7.6,\"relative_humidity\":96.0,\"pressure\":1019.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3610.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.830030033835469,\"wind_speed\":8.3,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":8.9,\"feels_like\":null,\"dew_point\":8.3,\"relative_humidity\":96.0,\"pressure\":1019.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5770.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8928153879508465,\"wind_speed\":9.0,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":9.8,\"feels_like\":null,\"dew_point\":8.9,\"relative_humidity\":94.0,\"pressure\":1018.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5980.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.945096824920762,\"wind_speed\":7.2,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":10.6,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":92.0,\"pressure\":1018.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7950.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.947556370182495,\"wind_speed\":6.5,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":10.8,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":91.0,\"pressure\":1018.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":6120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9903598068898019,\"wind_speed\":4.7,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":10.8,\"feels_like\":null,\"dew_point\":9.7,\"relative_humidity\":93.0,\"pressure\":1018.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":4830.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.987381538505997,\"wind_speed\":4.3,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":10.6,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":94.0,\"pressure\":1018.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5360.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9963174492677347,\"wind_speed\":3.6,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":9.8,\"relative_humidity\":95.0,\"pressure\":1018.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":4660.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0085238952986137,\"wind_speed\":2.2,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":10.6,\"feels_like\":null,\"dew_point\":9.8,\"relative_humidity\":95.0,\"pressure\":1019.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5570.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.024064286986675,\"wind_speed\":3.2,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":10.9,\"feels_like\":null,\"dew_point\":10.0,\"relative_humidity\":94.0,\"pressure\":1020.5,\"ozone\":null,\"ghi\":20.901591088639343,\"dni\":0.0,\"dhi\":20.901591088639343}",
+    "{\"date_time\":\"2024-10-27T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7670.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.020123074823889,\"wind_speed\":7.2,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":10.1,\"relative_humidity\":91.0,\"pressure\":1021.1,\"ozone\":null,\"ghi\":66.41841804602629,\"dni\":0.0,\"dhi\":66.41841804602629}",
+    "{\"date_time\":\"2024-10-27T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":8790.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0744781114397735,\"wind_speed\":11.2,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":12.2,\"feels_like\":null,\"dew_point\":10.4,\"relative_humidity\":89.0,\"pressure\":1021.4,\"ozone\":null,\"ghi\":106.12345605852113,\"dni\":0.0,\"dhi\":106.12345605852113}",
+    "{\"date_time\":\"2024-10-27T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":8040.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.067588035893061,\"wind_speed\":10.8,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":12.9,\"feels_like\":null,\"dew_point\":10.4,\"relative_humidity\":85.0,\"pressure\":1022.0,\"ozone\":null,\"ghi\":132.31929512932624,\"dni\":0.0,\"dhi\":132.31929512932624}",
+    "{\"date_time\":\"2024-10-27T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":9300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0813625709358203,\"wind_speed\":11.5,\"wind_direction\":220.0,\"frost_chance\":null,\"temp_air\":13.4,\"feels_like\":null,\"dew_point\":10.6,\"relative_humidity\":83.0,\"pressure\":1022.6,\"ozone\":null,\"ghi\":142.03807516868267,\"dni\":0.0,\"dhi\":142.03807516868267}",
+    "{\"date_time\":\"2024-10-27T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":9560.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.119817892495729,\"wind_speed\":10.8,\"wind_direction\":230.0,\"frost_chance\":null,\"temp_air\":13.9,\"feels_like\":null,\"dew_point\":10.9,\"relative_humidity\":82.0,\"pressure\":1022.7,\"ozone\":null,\"ghi\":134.33853283469773,\"dni\":0.0,\"dhi\":134.33853283469773}",
+    "{\"date_time\":\"2024-10-27T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12400.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.119593668836106,\"wind_speed\":10.4,\"wind_direction\":220.0,\"frost_chance\":null,\"temp_air\":14.1,\"feels_like\":null,\"dew_point\":11.0,\"relative_humidity\":81.0,\"pressure\":1022.9,\"ozone\":null,\"ghi\":109.95561941571053,\"dni\":0.0,\"dhi\":109.95561941571053}",
+    "{\"date_time\":\"2024-10-27T15:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1843956516771077,\"wind_speed\":11.9,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":14.8,\"feels_like\":null,\"dew_point\":11.4,\"relative_humidity\":80.0,\"pressure\":1023.0,\"ozone\":null,\"ghi\":88.84019629738314,\"dni\":0.0,\"dhi\":88.84019629738314}",
+    "{\"date_time\":\"2024-10-27T16:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":13590.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.183440809341084,\"wind_speed\":13.3,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":15.0,\"feels_like\":null,\"dew_point\":11.4,\"relative_humidity\":79.0,\"pressure\":1023.8,\"ozone\":null,\"ghi\":25.90303659201319,\"dni\":0.0,\"dhi\":25.90303659201319}",
+    "{\"date_time\":\"2024-10-27T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14720.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1291678932402403,\"wind_speed\":8.6,\"wind_direction\":220.0,\"frost_chance\":null,\"temp_air\":13.0,\"feels_like\":null,\"dew_point\":11.0,\"relative_humidity\":87.0,\"pressure\":1024.4,\"ozone\":null,\"ghi\":0.027781191847857583,\"dni\":0.0,\"dhi\":0.027781191847857583}",
+    "{\"date_time\":\"2024-10-27T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0574147959693145,\"wind_speed\":9.0,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":11.7,\"feels_like\":null,\"dew_point\":10.3,\"relative_humidity\":91.0,\"pressure\":1025.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12740.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0324781084809054,\"wind_speed\":7.2,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.5,\"feels_like\":null,\"dew_point\":10.0,\"relative_humidity\":91.0,\"pressure\":1025.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T20:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12320.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9995340646535906,\"wind_speed\":7.6,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":10.7,\"feels_like\":null,\"dew_point\":9.8,\"relative_humidity\":94.0,\"pressure\":1026.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":10820.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1311188481658605,\"wind_speed\":9.0,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":10.8,\"relative_humidity\":96.0,\"pressure\":1026.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":8040.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1609860685094553,\"wind_speed\":9.4,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.8,\"feels_like\":null,\"dew_point\":11.0,\"relative_humidity\":95.0,\"pressure\":1027.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-27T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":4860.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.174201406952952,\"wind_speed\":8.6,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":11.9,\"feels_like\":null,\"dew_point\":11.2,\"relative_humidity\":95.0,\"pressure\":1027.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3910.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.174201406952952,\"wind_speed\":11.9,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.9,\"feels_like\":null,\"dew_point\":11.1,\"relative_humidity\":95.0,\"pressure\":1027.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T01:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7410.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1284287457539426,\"wind_speed\":12.6,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.9,\"feels_like\":null,\"dew_point\":10.9,\"relative_humidity\":93.0,\"pressure\":1027.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":4020.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.174201406952952,\"wind_speed\":5.8,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":11.9,\"feels_like\":null,\"dew_point\":11.1,\"relative_humidity\":95.0,\"pressure\":1027.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3500.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.125241657374896,\"wind_speed\":6.8,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":11.7,\"feels_like\":null,\"dew_point\":10.7,\"relative_humidity\":94.0,\"pressure\":1027.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2770.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1089196934974663,\"wind_speed\":5.0,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":10.6,\"relative_humidity\":95.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0519715153105804,\"wind_speed\":2.9,\"wind_direction\":230.0,\"frost_chance\":null,\"temp_air\":11.3,\"feels_like\":null,\"dew_point\":10.3,\"relative_humidity\":93.0,\"pressure\":1026.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3330.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.045596885784406,\"wind_speed\":5.8,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":10.9,\"feels_like\":null,\"dew_point\":10.2,\"relative_humidity\":95.0,\"pressure\":1026.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0545649619507635,\"wind_speed\":8.3,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":10.8,\"feels_like\":null,\"dew_point\":10.1,\"relative_humidity\":96.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2900.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.020805703639267,\"wind_speed\":6.5,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":10.7,\"feels_like\":null,\"dew_point\":9.9,\"relative_humidity\":95.0,\"pressure\":1027.09,\"ozone\":null,\"ghi\":19.602868340686165,\"dni\":0.0,\"dhi\":19.602868340686165}",
+    "{\"date_time\":\"2024-10-28T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":1960.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0581070021227617,\"wind_speed\":8.3,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":11.0,\"feels_like\":null,\"dew_point\":10.3,\"relative_humidity\":95.0,\"pressure\":1027.2,\"ozone\":null,\"ghi\":64.68374862563667,\"dni\":0.0,\"dhi\":64.68374862563667}",
+    "{\"date_time\":\"2024-10-28T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":4930.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.017567894096528,\"wind_speed\":9.4,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":11.2,\"feels_like\":null,\"dew_point\":10.0,\"relative_humidity\":92.0,\"pressure\":1027.3,\"ozone\":null,\"ghi\":104.24512318045389,\"dni\":0.0,\"dhi\":104.24512318045389}",
+    "{\"date_time\":\"2024-10-28T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5410.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0574147959693145,\"wind_speed\":10.8,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":11.7,\"feels_like\":null,\"dew_point\":10.3,\"relative_humidity\":91.0,\"pressure\":1027.4,\"ozone\":null,\"ghi\":130.36720205010565,\"dni\":0.0,\"dhi\":130.36720205010565}",
+    "{\"date_time\":\"2024-10-28T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5520.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0744781114397735,\"wind_speed\":10.1,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":12.2,\"feels_like\":null,\"dew_point\":10.4,\"relative_humidity\":89.0,\"pressure\":1027.2,\"ozone\":null,\"ghi\":140.04739059314485,\"dni\":0.0,\"dhi\":140.04739059314485}",
+    "{\"date_time\":\"2024-10-28T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":6840.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1175533778696294,\"wind_speed\":9.4,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":13.1,\"feels_like\":null,\"dew_point\":10.8,\"relative_humidity\":86.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":132.3396471104131,\"dni\":0.0,\"dhi\":132.3396471104131}",
+    "{\"date_time\":\"2024-10-28T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":11920.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.158848465791691,\"wind_speed\":11.9,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":14.2,\"feels_like\":null,\"dew_point\":11.2,\"relative_humidity\":82.0,\"pressure\":1026.0,\"ozone\":null,\"ghi\":107.98652507155819,\"dni\":0.0,\"dhi\":107.98652507155819}",
+    "{\"date_time\":\"2024-10-28T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":13760.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1586051188053688,\"wind_speed\":7.6,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":14.4,\"feels_like\":null,\"dew_point\":11.2,\"relative_humidity\":81.0,\"pressure\":1025.8,\"ozone\":null,\"ghi\":69.69629401139778,\"dni\":0.0,\"dhi\":69.69629401139778}",
+    "{\"date_time\":\"2024-10-28T16:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":21080.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.172012702785343,\"wind_speed\":7.2,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":14.3,\"feels_like\":null,\"dew_point\":11.4,\"relative_humidity\":82.0,\"pressure\":1025.4,\"ozone\":null,\"ghi\":30.299076442472742,\"dni\":0.0,\"dhi\":30.299076442472742}",
+    "{\"date_time\":\"2024-10-28T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":16720.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0723655900991496,\"wind_speed\":8.6,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":12.0,\"feels_like\":null,\"dew_point\":10.5,\"relative_humidity\":90.0,\"pressure\":1025.2,\"ozone\":null,\"ghi\":0.007313988512718714,\"dni\":0.0,\"dhi\":0.007313988512718714}",
+    "{\"date_time\":\"2024-10-28T18:00:00+01:00\",\"total_clouds\":75.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":8950.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9542897134936768,\"wind_speed\":3.6,\"wind_direction\":280.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":9.5,\"relative_humidity\":93.0,\"pressure\":1025.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T19:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7810.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8443259335596536,\"wind_speed\":3.2,\"wind_direction\":330.0,\"frost_chance\":null,\"temp_air\":9.2,\"feels_like\":null,\"dew_point\":8.5,\"relative_humidity\":95.0,\"pressure\":1026.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T20:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":90.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8378811294487585,\"wind_speed\":2.5,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":8.8,\"feels_like\":null,\"dew_point\":8.3,\"relative_humidity\":97.0,\"pressure\":1026.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.925871372365559,\"wind_speed\":2.5,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":9.4,\"feels_like\":null,\"dew_point\":9.1,\"relative_humidity\":98.0,\"pressure\":1026.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":60.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.801251387267144,\"wind_speed\":2.9,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":8.3,\"feels_like\":null,\"dew_point\":8.0,\"relative_humidity\":98.0,\"pressure\":1026.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-28T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":90.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7720765939942027,\"wind_speed\":3.2,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":8.2,\"feels_like\":null,\"dew_point\":7.8,\"relative_humidity\":97.0,\"pressure\":1026.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":80.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8455721653466037,\"wind_speed\":3.6,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":8.7,\"feels_like\":null,\"dew_point\":8.4,\"relative_humidity\":98.0,\"pressure\":1026.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":160.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.779508453411574,\"wind_speed\":2.2,\"wind_direction\":330.0,\"frost_chance\":null,\"temp_air\":8.1,\"feels_like\":null,\"dew_point\":7.8,\"relative_humidity\":98.0,\"pressure\":1026.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7580400895133157,\"wind_speed\":2.5,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":7.9,\"feels_like\":null,\"dew_point\":7.5,\"relative_humidity\":98.0,\"pressure\":1026.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8196315034637476,\"wind_speed\":1.4,\"wind_direction\":0.0,\"frost_chance\":null,\"temp_air\":8.3,\"feels_like\":null,\"dew_point\":8.1,\"relative_humidity\":99.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7976667029361821,\"wind_speed\":1.8,\"wind_direction\":320.0,\"frost_chance\":null,\"temp_air\":8.1,\"feels_like\":null,\"dew_point\":8.0,\"relative_humidity\":99.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":110.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.786788492758286,\"wind_speed\":1.4,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":8.0,\"feels_like\":null,\"dew_point\":7.9,\"relative_humidity\":99.0,\"pressure\":1026.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":110.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7022172735352934,\"wind_speed\":2.2,\"wind_direction\":240.0,\"frost_chance\":null,\"temp_air\":7.2,\"feels_like\":null,\"dew_point\":7.1,\"relative_humidity\":99.0,\"pressure\":1027.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":110.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.722955851908333,\"wind_speed\":2.9,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":7.4,\"feels_like\":null,\"dew_point\":7.3,\"relative_humidity\":99.0,\"pressure\":1027.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":130.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7652386971092027,\"wind_speed\":3.2,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":7.8,\"feels_like\":null,\"dew_point\":7.6,\"relative_humidity\":99.0,\"pressure\":1027.5,\"ozone\":null,\"ghi\":18.332702353547074,\"dni\":0.0,\"dhi\":18.332702353547074}",
+    "{\"date_time\":\"2024-10-29T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":170.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8644045343807525,\"wind_speed\":4.3,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":8.7,\"feels_like\":null,\"dew_point\":8.5,\"relative_humidity\":99.0,\"pressure\":1027.59,\"ozone\":null,\"ghi\":62.95962823548937,\"dni\":0.0,\"dhi\":62.95962823548937}",
+    "{\"date_time\":\"2024-10-29T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":340.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9141831337652606,\"wind_speed\":2.5,\"wind_direction\":340.0,\"frost_chance\":null,\"temp_air\":9.3,\"feels_like\":null,\"dew_point\":9.0,\"relative_humidity\":98.0,\"pressure\":1027.59,\"ozone\":null,\"ghi\":102.37603626073972,\"dni\":0.0,\"dhi\":102.37603626073972}",
+    "{\"date_time\":\"2024-10-29T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":270.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.013647682316836,\"wind_speed\":3.6,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":10.3,\"feels_like\":null,\"dew_point\":9.9,\"relative_humidity\":97.0,\"pressure\":1027.5,\"ozone\":null,\"ghi\":128.42638331065623,\"dni\":0.0,\"dhi\":128.42638331065623}",
+    "{\"date_time\":\"2024-10-29T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":320.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1313720084431926,\"wind_speed\":5.0,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":12.1,\"feels_like\":null,\"dew_point\":10.9,\"relative_humidity\":92.0,\"pressure\":1027.2,\"ozone\":null,\"ghi\":138.07137517499854,\"dni\":0.0,\"dhi\":138.07137517499854}",
+    "{\"date_time\":\"2024-10-29T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":11100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.291852348361256,\"wind_speed\":6.1,\"wind_direction\":160.0,\"frost_chance\":null,\"temp_air\":14.4,\"feels_like\":null,\"dew_point\":12.1,\"relative_humidity\":86.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":130.35961341605747,\"dni\":0.0,\"dhi\":130.35961341605747}",
+    "{\"date_time\":\"2024-10-29T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":16900.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.3255616039808618,\"wind_speed\":5.0,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":16.9,\"feels_like\":null,\"dew_point\":12.4,\"relative_humidity\":75.0,\"pressure\":1025.9,\"ozone\":null,\"ghi\":106.04108723155429,\"dni\":0.0,\"dhi\":106.04108723155429}",
+    "{\"date_time\":\"2024-10-29T15:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":34440.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.1836631339806405,\"wind_speed\":6.5,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":17.0,\"feels_like\":null,\"dew_point\":11.6,\"relative_humidity\":70.0,\"pressure\":1025.7,\"ozone\":null,\"ghi\":84.24287206656912,\"dni\":0.0,\"dhi\":84.24287206656912}",
+    "{\"date_time\":\"2024-10-29T16:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":58950.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.2475055388051737,\"wind_speed\":4.3,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":15.9,\"feels_like\":null,\"dew_point\":11.9,\"relative_humidity\":77.0,\"pressure\":1025.4,\"ozone\":null,\"ghi\":49.81579897492729,\"dni\":14.538665837772964,\"dhi\":47.79892049551232}",
+    "{\"date_time\":\"2024-10-29T17:00:00+01:00\",\"total_clouds\":50.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":47830.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0652816544204247,\"wind_speed\":10.4,\"wind_direction\":250.0,\"frost_chance\":null,\"temp_air\":12.5,\"feels_like\":null,\"dew_point\":10.4,\"relative_humidity\":87.0,\"pressure\":1025.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T18:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":41010.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.020123074823889,\"wind_speed\":6.1,\"wind_direction\":260.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":10.0,\"relative_humidity\":91.0,\"pressure\":1025.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T19:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":18250.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9662391817133793,\"wind_speed\":5.4,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":10.6,\"feels_like\":null,\"dew_point\":9.5,\"relative_humidity\":93.0,\"pressure\":1026.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T20:00:00+01:00\",\"total_clouds\":12.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7840.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0394979799019253,\"wind_speed\":6.5,\"wind_direction\":230.0,\"frost_chance\":null,\"temp_air\":11.2,\"feels_like\":null,\"dew_point\":10.2,\"relative_humidity\":93.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7370.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7702426892100076,\"wind_speed\":5.0,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":8.7,\"feels_like\":null,\"dew_point\":7.8,\"relative_humidity\":94.0,\"pressure\":1026.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3850.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8220170482487101,\"wind_speed\":4.3,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":9.0,\"feels_like\":null,\"dew_point\":8.3,\"relative_humidity\":95.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-29T23:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7260.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8443259335596536,\"wind_speed\":4.3,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":9.2,\"feels_like\":null,\"dew_point\":8.5,\"relative_humidity\":95.0,\"pressure\":1026.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T00:00:00+01:00\",\"total_clouds\":50.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":180.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.729577309288815,\"wind_speed\":3.6,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":7.8,\"feels_like\":null,\"dew_point\":7.3,\"relative_humidity\":97.0,\"pressure\":1026.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":70.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6378354583834347,\"wind_speed\":2.2,\"wind_direction\":240.0,\"frost_chance\":null,\"temp_air\":6.9,\"feels_like\":null,\"dew_point\":6.5,\"relative_humidity\":97.0,\"pressure\":1027.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7263462963556704,\"wind_speed\":2.9,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":7.6,\"feels_like\":null,\"dew_point\":7.3,\"relative_humidity\":98.0,\"pressure\":1027.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6952547605843942,\"wind_speed\":1.8,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":7.3,\"feels_like\":null,\"dew_point\":7.1,\"relative_humidity\":98.0,\"pressure\":1027.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":90.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8268830865919616,\"wind_speed\":2.2,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":8.2,\"feels_like\":null,\"dew_point\":8.2,\"relative_humidity\":100.0,\"pressure\":1027.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":150.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8492109088214057,\"wind_speed\":1.4,\"wind_direction\":290.0,\"frost_chance\":null,\"temp_air\":8.4,\"feels_like\":null,\"dew_point\":8.3,\"relative_humidity\":100.0,\"pressure\":1027.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7840.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8872184723928271,\"wind_speed\":2.5,\"wind_direction\":150.0,\"frost_chance\":null,\"temp_air\":8.9,\"feels_like\":null,\"dew_point\":8.8,\"relative_humidity\":99.0,\"pressure\":1027.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2810.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8872184723928271,\"wind_speed\":2.5,\"wind_direction\":290.0,\"frost_chance\":null,\"temp_air\":8.9,\"feels_like\":null,\"dew_point\":8.7,\"relative_humidity\":99.0,\"pressure\":1028.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T08:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":460.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.921981762341113,\"wind_speed\":2.2,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":9.2,\"feels_like\":null,\"dew_point\":9.0,\"relative_humidity\":99.0,\"pressure\":1028.3,\"ozone\":null,\"ghi\":21.219671542362477,\"dni\":0.0,\"dhi\":21.219671542362477}",
+    "{\"date_time\":\"2024-10-30T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":1620.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9813912463341716,\"wind_speed\":2.5,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":9.7,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":99.0,\"pressure\":1028.4,\"ozone\":null,\"ghi\":61.24705643100921,\"dni\":0.0,\"dhi\":61.24705643100921}",
+    "{\"date_time\":\"2024-10-30T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":13580.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0886168395153506,\"wind_speed\":1.8,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":10.4,\"feels_like\":null,\"dew_point\":10.4,\"relative_humidity\":100.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":100.51716584295312,\"dni\":0.0,\"dhi\":100.51716584295312}",
+    "{\"date_time\":\"2024-10-30T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":22490.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0364427178898907,\"wind_speed\":5.4,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.0,\"feels_like\":null,\"dew_point\":10.2,\"relative_humidity\":94.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":126.49785855652105,\"dni\":0.0,\"dhi\":126.49785855652105}",
+    "{\"date_time\":\"2024-10-30T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17130.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.108204921394897,\"wind_speed\":5.4,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":12.1,\"feels_like\":null,\"dew_point\":10.7,\"relative_humidity\":91.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":136.11108832250144,\"dni\":0.0,\"dhi\":136.11108832250144}",
+    "{\"date_time\":\"2024-10-30T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":27620.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0744781114397735,\"wind_speed\":5.8,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":12.2,\"feels_like\":null,\"dew_point\":10.4,\"relative_humidity\":89.0,\"pressure\":1028.0,\"ozone\":null,\"ghi\":128.39950312276366,\"dni\":0.0,\"dhi\":128.39950312276366}",
+    "{\"date_time\":\"2024-10-30T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":23300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0792067212034273,\"wind_speed\":10.8,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":12.8,\"feels_like\":null,\"dew_point\":10.6,\"relative_humidity\":86.0,\"pressure\":1028.0,\"ozone\":null,\"ghi\":104.12035323578755,\"dni\":0.0,\"dhi\":104.12035323578755}",
+    "{\"date_time\":\"2024-10-30T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17420.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.067588035893061,\"wind_speed\":10.4,\"wind_direction\":160.0,\"frost_chance\":null,\"temp_air\":12.9,\"feels_like\":null,\"dew_point\":10.5,\"relative_humidity\":85.0,\"pressure\":1027.7,\"ozone\":null,\"ghi\":66.05384442265539,\"dni\":0.0,\"dhi\":66.05384442265539}",
+    "{\"date_time\":\"2024-10-30T16:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12780.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.116237166149368,\"wind_speed\":9.0,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":12.9,\"feels_like\":null,\"dew_point\":10.7,\"relative_humidity\":87.0,\"pressure\":1028.0,\"ozone\":null,\"ghi\":21.554012703673507,\"dni\":0.0,\"dhi\":21.554012703673507}",
+    "{\"date_time\":\"2024-10-30T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":9610.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.077906151217825,\"wind_speed\":5.0,\"wind_direction\":150.0,\"frost_chance\":null,\"temp_air\":12.6,\"feels_like\":null,\"dew_point\":10.5,\"relative_humidity\":87.0,\"pressure\":1027.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":10940.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0723655900991496,\"wind_speed\":3.2,\"wind_direction\":160.0,\"frost_chance\":null,\"temp_air\":12.0,\"feels_like\":null,\"dew_point\":10.4,\"relative_humidity\":90.0,\"pressure\":1028.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7710.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.04490856047528,\"wind_speed\":4.0,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.6,\"feels_like\":null,\"dew_point\":10.1,\"relative_humidity\":91.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T20:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3170.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0324781084809054,\"wind_speed\":3.2,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.5,\"feels_like\":null,\"dew_point\":10.1,\"relative_humidity\":91.0,\"pressure\":1028.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3950.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.020123074823889,\"wind_speed\":6.8,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":10.0,\"relative_humidity\":91.0,\"pressure\":1028.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2590.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0423222294922834,\"wind_speed\":4.3,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":10.2,\"relative_humidity\":92.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-30T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2940.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0394979799019253,\"wind_speed\":2.5,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":11.2,\"feels_like\":null,\"dew_point\":10.2,\"relative_humidity\":93.0,\"pressure\":1028.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":1970.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9424136607492761,\"wind_speed\":3.2,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":10.4,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":93.0,\"pressure\":1028.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2510.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9395134892129953,\"wind_speed\":4.7,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":94.0,\"pressure\":1028.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2060.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0085238952986137,\"wind_speed\":6.1,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":10.6,\"feels_like\":null,\"dew_point\":9.9,\"relative_humidity\":95.0,\"pressure\":1028.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":240.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0050721659347364,\"wind_speed\":5.8,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":10.4,\"feels_like\":null,\"dew_point\":9.8,\"relative_humidity\":96.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2970.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0173313171547624,\"wind_speed\":6.8,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":9.9,\"relative_humidity\":96.0,\"pressure\":1028.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3290.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9963174492677347,\"wind_speed\":3.6,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":9.8,\"relative_humidity\":95.0,\"pressure\":1029.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T06:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5990.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":2.0173313171547624,\"wind_speed\":4.3,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":10.0,\"relative_humidity\":96.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T07:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":170.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9753035813807054,\"wind_speed\":5.4,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":9.7,\"relative_humidity\":94.0,\"pressure\":1029.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5700.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9513699189462126,\"wind_speed\":7.6,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":10.3,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":94.0,\"pressure\":1029.2,\"ozone\":null,\"ghi\":15.885486574503958,\"dni\":0.0,\"dhi\":15.885486574503958}",
+    "{\"date_time\":\"2024-10-31T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":8690.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9835068514961423,\"wind_speed\":5.0,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":11.1,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":91.0,\"pressure\":1029.5,\"ozone\":null,\"ghi\":59.547045720693454,\"dni\":0.0,\"dhi\":59.547045720693454}",
+    "{\"date_time\":\"2024-10-31T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":15600.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9682244315574093,\"wind_speed\":2.2,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":11.9,\"feels_like\":null,\"dew_point\":9.7,\"relative_humidity\":86.0,\"pressure\":1029.59,\"ozone\":null,\"ghi\":98.66949090664382,\"dni\":0.0,\"dhi\":98.66949090664382}",
+    "{\"date_time\":\"2024-10-31T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":25190.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9682244315574093,\"wind_speed\":2.2,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":11.9,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":86.0,\"pressure\":1029.3,\"ozone\":null,\"ghi\":124.5826522461644,\"dni\":0.0,\"dhi\":124.5826522461644}",
+    "{\"date_time\":\"2024-10-31T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":33140.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9459652102522924,\"wind_speed\":7.6,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":12.9,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":80.0,\"pressure\":1028.9,\"ozone\":null,\"ghi\":134.16758927009357,\"dni\":0.0,\"dhi\":134.16758927009357}",
+    "{\"date_time\":\"2024-10-31T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":36550.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.827634823721784,\"wind_speed\":9.0,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":13.6,\"feels_like\":null,\"dew_point\":8.7,\"relative_humidity\":72.0,\"pressure\":1028.4,\"ozone\":null,\"ghi\":126.46038107187944,\"dni\":0.0,\"dhi\":126.46038107187944}",
+    "{\"date_time\":\"2024-10-31T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":57100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8500141411416122,\"wind_speed\":9.0,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":13.8,\"feels_like\":null,\"dew_point\":8.8,\"relative_humidity\":72.0,\"pressure\":1027.9,\"ozone\":null,\"ghi\":102.22535560233246,\"dni\":0.0,\"dhi\":102.22535560233246}",
+    "{\"date_time\":\"2024-10-31T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":52570.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8317476150435485,\"wind_speed\":5.4,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":14.1,\"feels_like\":null,\"dew_point\":8.7,\"relative_humidity\":70.0,\"pressure\":1027.7,\"ozone\":null,\"ghi\":64.2799263126679,\"dni\":0.0,\"dhi\":64.2799263126679}",
+    "{\"date_time\":\"2024-10-31T16:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":45660.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.861303515362104,\"wind_speed\":5.8,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":13.9,\"feels_like\":null,\"dew_point\":8.9,\"relative_humidity\":72.0,\"pressure\":1027.4,\"ozone\":null,\"ghi\":20.199874599546952,\"dni\":0.0,\"dhi\":20.199874599546952}",
+    "{\"date_time\":\"2024-10-31T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":51810.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.848666949739678,\"wind_speed\":3.6,\"wind_direction\":230.0,\"frost_chance\":null,\"temp_air\":12.9,\"feels_like\":null,\"dew_point\":8.7,\"relative_humidity\":76.0,\"pressure\":1027.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":44110.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8876079019771812,\"wind_speed\":2.9,\"wind_direction\":230.0,\"frost_chance\":null,\"temp_air\":11.6,\"feels_like\":null,\"dew_point\":9.0,\"relative_humidity\":84.0,\"pressure\":1027.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":48080.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9313264561503112,\"wind_speed\":2.2,\"wind_direction\":110.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":9.2,\"relative_humidity\":87.0,\"pressure\":1027.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T20:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":30700.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9443700269600115,\"wind_speed\":3.6,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.7,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":86.0,\"pressure\":1027.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T21:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":25400.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9313264561503112,\"wind_speed\":2.9,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":87.0,\"pressure\":1027.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":25670.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9298475508749398,\"wind_speed\":4.3,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":11.2,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":88.0,\"pressure\":1027.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-10-31T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":24450.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9281212967255343,\"wind_speed\":2.9,\"wind_direction\":230.0,\"frost_chance\":null,\"temp_air\":11.0,\"feels_like\":null,\"dew_point\":9.3,\"relative_humidity\":89.0,\"pressure\":1027.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":24100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.947556370182495,\"wind_speed\":2.9,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":10.8,\"feels_like\":null,\"dew_point\":9.4,\"relative_humidity\":91.0,\"pressure\":1026.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":20630.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9753035813807054,\"wind_speed\":5.0,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":9.5,\"relative_humidity\":94.0,\"pressure\":1026.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":24020.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9807797336643354,\"wind_speed\":6.5,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":96.0,\"pressure\":1026.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":8730.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9807797336643354,\"wind_speed\":9.4,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":96.0,\"pressure\":1026.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5560.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.9687457153823724,\"wind_speed\":9.0,\"wind_direction\":250.0,\"frost_chance\":null,\"temp_air\":10.1,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":96.0,\"pressure\":1025.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":5030.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.1,\"preciptable_water\":1.9807797336643354,\"wind_speed\":8.3,\"wind_direction\":250.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":9.6,\"relative_humidity\":96.0,\"pressure\":1026.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7340.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.1,\"preciptable_water\":1.9449002411739278,\"wind_speed\":7.9,\"wind_direction\":270.0,\"frost_chance\":null,\"temp_air\":9.9,\"feels_like\":null,\"dew_point\":9.2,\"relative_humidity\":96.0,\"pressure\":1025.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":6340.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8669161262727356,\"wind_speed\":3.2,\"wind_direction\":260.0,\"frost_chance\":null,\"temp_air\":9.4,\"feels_like\":null,\"dew_point\":8.7,\"relative_humidity\":95.0,\"pressure\":1025.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12030.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8360532099381073,\"wind_speed\":5.8,\"wind_direction\":220.0,\"frost_chance\":null,\"temp_air\":9.3,\"feels_like\":null,\"dew_point\":8.5,\"relative_humidity\":94.0,\"pressure\":1025.7,\"ozone\":null,\"ghi\":14.712237798164347,\"dni\":0.0,\"dhi\":14.712237798164347}",
+    "{\"date_time\":\"2024-11-01T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":29210.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8301128504372512,\"wind_speed\":11.9,\"wind_direction\":220.0,\"frost_chance\":null,\"temp_air\":9.6,\"feels_like\":null,\"dew_point\":8.4,\"relative_humidity\":92.0,\"pressure\":1026.0,\"ozone\":null,\"ghi\":57.8606202914984,\"dni\":0.0,\"dhi\":57.8606202914984}",
+    "{\"date_time\":\"2024-11-01T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":24570.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8548700685143087,\"wind_speed\":12.2,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":10.0,\"feels_like\":null,\"dew_point\":8.6,\"relative_humidity\":91.0,\"pressure\":1025.9,\"ozone\":null,\"ghi\":96.83399790992624,\"dni\":0.0,\"dhi\":96.83399790992624}",
+    "{\"date_time\":\"2024-11-01T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":19290.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8475736466618398,\"wind_speed\":11.9,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":10.3,\"feels_like\":null,\"dew_point\":8.6,\"relative_humidity\":89.0,\"pressure\":1026.3,\"ozone\":null,\"ghi\":122.68179272930055,\"dni\":0.0,\"dhi\":122.68179272930055}",
+    "{\"date_time\":\"2024-11-01T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":38750.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8492203740585325,\"wind_speed\":12.6,\"wind_direction\":220.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":8.6,\"relative_humidity\":88.0,\"pressure\":1025.8,\"ozone\":null,\"ghi\":132.24193611040087,\"dni\":0.0,\"dhi\":132.24193611040087}",
+    "{\"date_time\":\"2024-11-01T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":47950.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.850632591753855,\"wind_speed\":13.3,\"wind_direction\":220.0,\"frost_chance\":null,\"temp_air\":10.7,\"feels_like\":null,\"dew_point\":8.6,\"relative_humidity\":87.0,\"pressure\":1025.2,\"ozone\":null,\"ghi\":124.54330452319319,\"dni\":0.0,\"dhi\":124.54330452319319}",
+    "{\"date_time\":\"2024-11-01T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":39370.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8087382990093692,\"wind_speed\":10.4,\"wind_direction\":240.0,\"frost_chance\":null,\"temp_air\":10.9,\"feels_like\":null,\"dew_point\":8.3,\"relative_humidity\":84.0,\"pressure\":1024.7,\"ozone\":null,\"ghi\":100.35711080592202,\"dni\":0.0,\"dhi\":100.35711080592202}",
+    "{\"date_time\":\"2024-11-01T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":45050.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8201971218479545,\"wind_speed\":10.1,\"wind_direction\":240.0,\"frost_chance\":null,\"temp_air\":11.2,\"feels_like\":null,\"dew_point\":8.5,\"relative_humidity\":83.0,\"pressure\":1024.3,\"ozone\":null,\"ghi\":62.53879690593976,\"dni\":0.0,\"dhi\":62.53879690593976}",
+    "{\"date_time\":\"2024-11-01T16:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":50820.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8313294168900875,\"wind_speed\":9.0,\"wind_direction\":220.0,\"frost_chance\":null,\"temp_air\":11.3,\"feels_like\":null,\"dew_point\":8.5,\"relative_humidity\":83.0,\"pressure\":1024.0,\"ozone\":null,\"ghi\":18.895062599949565,\"dni\":0.0,\"dhi\":18.895062599949565}",
+    "{\"date_time\":\"2024-11-01T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":44670.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7977443417069183,\"wind_speed\":9.0,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":10.8,\"feels_like\":null,\"dew_point\":8.2,\"relative_humidity\":84.0,\"pressure\":1024.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":49650.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7548156137872095,\"wind_speed\":5.4,\"wind_direction\":240.0,\"frost_chance\":null,\"temp_air\":10.6,\"feels_like\":null,\"dew_point\":7.9,\"relative_humidity\":83.0,\"pressure\":1024.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":34320.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.785295883291216,\"wind_speed\":9.0,\"wind_direction\":270.0,\"frost_chance\":null,\"temp_air\":10.3,\"feels_like\":null,\"dew_point\":8.0,\"relative_humidity\":86.0,\"pressure\":1025.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T20:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":28820.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7021447330910096,\"wind_speed\":13.3,\"wind_direction\":300.0,\"frost_chance\":null,\"temp_air\":10.1,\"feels_like\":null,\"dew_point\":7.3,\"relative_humidity\":83.0,\"pressure\":1025.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":27910.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6511793809783977,\"wind_speed\":12.2,\"wind_direction\":290.0,\"frost_chance\":null,\"temp_air\":9.8,\"feels_like\":null,\"dew_point\":6.9,\"relative_humidity\":82.0,\"pressure\":1025.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":27860.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.621195919413435,\"wind_speed\":10.4,\"wind_direction\":280.0,\"frost_chance\":null,\"temp_air\":9.3,\"feels_like\":null,\"dew_point\":6.6,\"relative_humidity\":83.0,\"pressure\":1026.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-01T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":26550.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.620878591918624,\"wind_speed\":7.9,\"wind_direction\":300.0,\"frost_chance\":null,\"temp_air\":9.1,\"feels_like\":null,\"dew_point\":6.5,\"relative_humidity\":84.0,\"pressure\":1026.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":33360.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.601582418205307,\"wind_speed\":6.1,\"wind_direction\":330.0,\"frost_chance\":null,\"temp_air\":9.1,\"feels_like\":null,\"dew_point\":6.4,\"relative_humidity\":83.0,\"pressure\":1027.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":30030.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.639401905310941,\"wind_speed\":4.0,\"wind_direction\":230.0,\"frost_chance\":null,\"temp_air\":8.9,\"feels_like\":null,\"dew_point\":6.7,\"relative_humidity\":86.0,\"pressure\":1027.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":34110.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6572484750051133,\"wind_speed\":4.7,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":8.7,\"feels_like\":null,\"dew_point\":6.8,\"relative_humidity\":88.0,\"pressure\":1027.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":27390.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6572484750051133,\"wind_speed\":5.8,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":8.7,\"feels_like\":null,\"dew_point\":6.8,\"relative_humidity\":88.0,\"pressure\":1027.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":25060.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6484088480622887,\"wind_speed\":2.9,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":8.8,\"feels_like\":null,\"dew_point\":6.8,\"relative_humidity\":87.0,\"pressure\":1027.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":23760.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.70525053247823,\"wind_speed\":4.3,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":8.8,\"feels_like\":null,\"dew_point\":7.2,\"relative_humidity\":90.0,\"pressure\":1028.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":21300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6863033043395828,\"wind_speed\":5.8,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":8.8,\"feels_like\":null,\"dew_point\":7.1,\"relative_humidity\":89.0,\"pressure\":1028.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":18210.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.70525053247823,\"wind_speed\":4.0,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":8.8,\"feels_like\":null,\"dew_point\":7.3,\"relative_humidity\":90.0,\"pressure\":1028.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":18570.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7173594604852087,\"wind_speed\":1.8,\"wind_direction\":260.0,\"frost_chance\":null,\"temp_air\":9.1,\"feels_like\":null,\"dew_point\":7.4,\"relative_humidity\":89.0,\"pressure\":1029.4,\"ozone\":null,\"ghi\":13.575130473514132,\"dni\":0.0,\"dhi\":13.575130473514132}",
+    "{\"date_time\":\"2024-11-02T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":19450.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7306501955221831,\"wind_speed\":2.5,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":9.6,\"feels_like\":null,\"dew_point\":7.6,\"relative_humidity\":87.0,\"pressure\":1030.0,\"ozone\":null,\"ghi\":56.188815268002756,\"dni\":0.0,\"dhi\":56.188815268002756}",
+    "{\"date_time\":\"2024-11-02T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":20370.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7861787703974465,\"wind_speed\":1.8,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":10.5,\"feels_like\":null,\"dew_point\":8.2,\"relative_humidity\":85.0,\"pressure\":1030.5,\"ozone\":null,\"ghi\":95.01168041969699,\"dni\":0.0,\"dhi\":95.01168041969699}",
+    "{\"date_time\":\"2024-11-02T11:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":32720.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7981315281399455,\"wind_speed\":1.8,\"wind_direction\":150.0,\"frost_chance\":null,\"temp_air\":11.4,\"feels_like\":null,\"dew_point\":8.3,\"relative_humidity\":81.0,\"pressure\":1030.4,\"ozone\":null,\"ghi\":149.95999291205823,\"dni\":12.813701117903975,\"dhi\":144.84157493139483}",
+    "{\"date_time\":\"2024-11-02T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":63890.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7119416707379567,\"wind_speed\":4.0,\"wind_direction\":110.0,\"frost_chance\":null,\"temp_air\":12.3,\"feels_like\":null,\"dew_point\":7.6,\"relative_humidity\":73.0,\"pressure\":1030.4,\"ozone\":null,\"ghi\":130.33518534986166,\"dni\":0.0,\"dhi\":130.33518534986166}",
+    "{\"date_time\":\"2024-11-02T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":75000.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7341189545032323,\"wind_speed\":5.0,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":13.2,\"feels_like\":null,\"dew_point\":7.8,\"relative_humidity\":70.0,\"pressure\":1030.09,\"ozone\":null,\"ghi\":122.64932256772778,\"dni\":0.0,\"dhi\":122.64932256772778}",
+    "{\"date_time\":\"2024-11-02T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":70510.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.7674144274726324,\"wind_speed\":4.0,\"wind_direction\":110.0,\"frost_chance\":null,\"temp_air\":12.6,\"feels_like\":null,\"dew_point\":8.2,\"relative_humidity\":74.0,\"pressure\":1029.8,\"ozone\":null,\"ghi\":98.5166184540087,\"dni\":0.0,\"dhi\":98.5166184540087}",
+    "{\"date_time\":\"2024-11-02T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":73670.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.815182384971893,\"wind_speed\":5.0,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":12.6,\"feels_like\":null,\"dew_point\":8.4,\"relative_humidity\":76.0,\"pressure\":1029.7,\"ozone\":null,\"ghi\":60.83135423410029,\"dni\":0.0,\"dhi\":60.83135423410029}",
+    "{\"date_time\":\"2024-11-02T16:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":75000.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.850307043871555,\"wind_speed\":7.6,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":12.7,\"feels_like\":null,\"dew_point\":8.7,\"relative_humidity\":77.0,\"pressure\":1030.0,\"ozone\":null,\"ghi\":21.89924464521845,\"dni\":0.0,\"dhi\":21.89924464521845}",
+    "{\"date_time\":\"2024-11-02T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":75000.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8087382990093692,\"wind_speed\":9.7,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":10.9,\"feels_like\":null,\"dew_point\":8.3,\"relative_humidity\":84.0,\"pressure\":1030.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":31130.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8833512151215333,\"wind_speed\":10.4,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":10.8,\"feels_like\":null,\"dew_point\":9.0,\"relative_humidity\":88.0,\"pressure\":1030.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":75000.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.8745229585567942,\"wind_speed\":11.5,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":11.1,\"feels_like\":null,\"dew_point\":8.9,\"relative_humidity\":86.0,\"pressure\":1031.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T20:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":75000.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.6919160225049534,\"wind_speed\":11.5,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":10.2,\"feels_like\":null,\"dew_point\":7.3,\"relative_humidity\":82.0,\"pressure\":1031.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":73550.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.5255496443180916,\"wind_speed\":8.6,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":8.3,\"feels_like\":null,\"dew_point\":5.6,\"relative_humidity\":83.0,\"pressure\":1032.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T22:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":64570.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4958879070461668,\"wind_speed\":9.0,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":7.2,\"feels_like\":null,\"dew_point\":5.2,\"relative_humidity\":87.0,\"pressure\":1032.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-02T23:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":66050.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.390501273322162,\"wind_speed\":5.0,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":5.8,\"feels_like\":null,\"dew_point\":4.0,\"relative_humidity\":88.0,\"pressure\":1033.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T00:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":68320.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4252928707378512,\"wind_speed\":5.8,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":6.4,\"feels_like\":null,\"dew_point\":4.4,\"relative_humidity\":87.0,\"pressure\":1033.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T01:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":62300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3403838896380875,\"wind_speed\":7.2,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":5.0,\"feels_like\":null,\"dew_point\":3.4,\"relative_humidity\":89.0,\"pressure\":1033.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T02:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":52300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3623270721453318,\"wind_speed\":6.8,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":4.9,\"feels_like\":null,\"dew_point\":3.6,\"relative_humidity\":91.0,\"pressure\":1033.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T03:00:00+01:00\",\"total_clouds\":75.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":46680.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2794609296319466,\"wind_speed\":9.0,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":3.3,\"feels_like\":null,\"dew_point\":2.5,\"relative_humidity\":94.0,\"pressure\":1033.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T04:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":25080.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.199274182505457,\"wind_speed\":7.6,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":2.2,\"feels_like\":null,\"dew_point\":1.3,\"relative_humidity\":94.0,\"pressure\":1033.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T05:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":31420.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2392275984186982,\"wind_speed\":7.6,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":2.4,\"feels_like\":null,\"dew_point\":1.8,\"relative_humidity\":96.0,\"pressure\":1032.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T06:00:00+01:00\",\"total_clouds\":12.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7340.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2105500551096946,\"wind_speed\":5.8,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":2.0,\"feels_like\":null,\"dew_point\":1.4,\"relative_humidity\":96.0,\"pressure\":1032.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T07:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14380.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1434707306695828,\"wind_speed\":6.1,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":1.2,\"feels_like\":null,\"dew_point\":0.5,\"relative_humidity\":95.0,\"pressure\":1032.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T08:00:00+01:00\",\"total_clouds\":25.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":190.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1488384034632042,\"wind_speed\":6.1,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":1.1,\"feels_like\":null,\"dew_point\":0.5,\"relative_humidity\":96.0,\"pressure\":1033.09,\"ozone\":null,\"ghi\":29.853526900099773,\"dni\":0.0,\"dhi\":29.853526900099773}",
+    "{\"date_time\":\"2024-11-03T09:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14830.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1982804081056098,\"wind_speed\":6.5,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":3.5,\"feels_like\":null,\"dew_point\":1.6,\"relative_humidity\":87.0,\"pressure\":1033.5,\"ozone\":null,\"ghi\":155.80764565813612,\"dni\":359.7647285960036,\"dhi\":73.0052545725479}",
+    "{\"date_time\":\"2024-11-03T10:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":29490.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3676770322583323,\"wind_speed\":3.6,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":6.9,\"feels_like\":null,\"dew_point\":3.9,\"relative_humidity\":81.0,\"pressure\":1033.09,\"ozone\":null,\"ghi\":266.29582531703034,\"dni\":542.6987046512027,\"dhi\":86.93886764577462}",
+    "{\"date_time\":\"2024-11-03T11:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":35910.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.413965797496583,\"wind_speed\":3.2,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":8.5,\"feels_like\":null,\"dew_point\":4.5,\"relative_humidity\":76.0,\"pressure\":1032.59,\"ozone\":null,\"ghi\":258.0721216984891,\"dni\":250.78797925254707,\"dhi\":159.12427101947398}",
+    "{\"date_time\":\"2024-11-03T12:00:00+01:00\",\"total_clouds\":62.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":40750.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.441145619265592,\"wind_speed\":5.0,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":10.4,\"feels_like\":null,\"dew_point\":5.0,\"relative_humidity\":69.0,\"pressure\":1032.0,\"ozone\":null,\"ghi\":219.09625671981206,\"dni\":99.04311158893928,\"dhi\":177.70064914620303}",
+    "{\"date_time\":\"2024-11-03T13:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":45690.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.510497819567314,\"wind_speed\":4.3,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":11.9,\"feels_like\":null,\"dew_point\":5.8,\"relative_humidity\":66.0,\"pressure\":1031.3,\"ozone\":null,\"ghi\":262.09146259237264,\"dni\":252.71731147093138,\"dhi\":161.2289221818615}",
+    "{\"date_time\":\"2024-11-03T14:00:00+01:00\",\"total_clouds\":25.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":20640.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4989629850536337,\"wind_speed\":4.7,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":12.8,\"feels_like\":null,\"dew_point\":5.8,\"relative_humidity\":62.0,\"pressure\":1030.7,\"ozone\":null,\"ghi\":231.40091702563853,\"dni\":315.5806670947059,\"dhi\":124.32565938039977}",
+    "{\"date_time\":\"2024-11-03T15:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":39980.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.5138875813494541,\"wind_speed\":2.9,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":12.7,\"feels_like\":null,\"dew_point\":5.8,\"relative_humidity\":63.0,\"pressure\":1030.3,\"ozone\":null,\"ghi\":128.3738640423681,\"dni\":143.98607922934983,\"dhi\":93.44607846301753}",
+    "{\"date_time\":\"2024-11-03T16:00:00+01:00\",\"total_clouds\":25.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":52750.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.510497819567314,\"wind_speed\":3.2,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":11.9,\"feels_like\":null,\"dew_point\":5.8,\"relative_humidity\":66.0,\"pressure\":1029.8,\"ozone\":null,\"ghi\":39.33002179401603,\"dni\":3.9206199292686486,\"dhi\":38.87702761430884}",
+    "{\"date_time\":\"2024-11-03T17:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":49460.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4883850499964026,\"wind_speed\":4.0,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":8.5,\"feels_like\":null,\"dew_point\":5.3,\"relative_humidity\":80.0,\"pressure\":1029.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":26380.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.398891798445423,\"wind_speed\":3.2,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":5.9,\"feels_like\":null,\"dew_point\":4.1,\"relative_humidity\":88.0,\"pressure\":1030.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":32120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3609257229104745,\"wind_speed\":5.0,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":4.7,\"feels_like\":null,\"dew_point\":3.5,\"relative_humidity\":92.0,\"pressure\":1030.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T20:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":24750.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2733596216558292,\"wind_speed\":5.8,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":3.4,\"feels_like\":null,\"dew_point\":2.4,\"relative_humidity\":93.0,\"pressure\":1030.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T21:00:00+01:00\",\"total_clouds\":25.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":16220.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.226318977601837,\"wind_speed\":5.8,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":2.4,\"feels_like\":null,\"dew_point\":1.6,\"relative_humidity\":95.0,\"pressure\":1031.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T22:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":8920.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1965035965509712,\"wind_speed\":6.1,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":1.8,\"feels_like\":null,\"dew_point\":1.2,\"relative_humidity\":96.0,\"pressure\":1031.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-03T23:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":6530.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1368713367604626,\"wind_speed\":7.2,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":1.1,\"feels_like\":null,\"dew_point\":0.4,\"relative_humidity\":95.0,\"pressure\":1031.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T00:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":690.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1356387287723233,\"wind_speed\":7.2,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":0.9,\"feels_like\":null,\"dew_point\":0.4,\"relative_humidity\":96.0,\"pressure\":1031.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T01:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":290.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.090861721609437,\"wind_speed\":7.2,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":0.2,\"feels_like\":null,\"dew_point\":-0.3,\"relative_humidity\":96.0,\"pressure\":1031.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T02:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":480.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.0835031721133945,\"wind_speed\":7.2,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":-0.1,\"feels_like\":null,\"dew_point\":-0.5,\"relative_humidity\":97.0,\"pressure\":1031.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":110.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1009339806416942,\"wind_speed\":6.8,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":0.0,\"feels_like\":null,\"dew_point\":-0.3,\"relative_humidity\":98.0,\"pressure\":1031.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":110.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1135880074763005,\"wind_speed\":6.8,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":0.2,\"feels_like\":null,\"dew_point\":-0.1,\"relative_humidity\":98.0,\"pressure\":1031.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":160.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1264206880151613,\"wind_speed\":4.7,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":0.4,\"feels_like\":null,\"dew_point\":0.2,\"relative_humidity\":98.0,\"pressure\":1031.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1460092992885946,\"wind_speed\":4.3,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":0.7,\"feels_like\":null,\"dew_point\":0.5,\"relative_humidity\":98.0,\"pressure\":1031.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.157703271730315,\"wind_speed\":5.4,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":0.7,\"feels_like\":null,\"dew_point\":0.6,\"relative_humidity\":99.0,\"pressure\":1031.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":90.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1541137262196406,\"wind_speed\":5.0,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":1.0,\"feels_like\":null,\"dew_point\":0.6,\"relative_humidity\":97.0,\"pressure\":1032.0,\"ozone\":null,\"ghi\":11.417075555130713,\"dni\":0.0,\"dhi\":11.417075555130713}",
+    "{\"date_time\":\"2024-11-04T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.22143075481245,\"wind_speed\":5.0,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":1.8,\"feels_like\":null,\"dew_point\":1.6,\"relative_humidity\":98.0,\"pressure\":1032.2,\"ozone\":null,\"ghi\":52.89325642044978,\"dni\":0.0,\"dhi\":52.89325642044978}",
+    "{\"date_time\":\"2024-11-04T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":150.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3316895356787095,\"wind_speed\":5.0,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":3.1,\"feels_like\":null,\"dew_point\":2.9,\"relative_humidity\":99.0,\"pressure\":1032.0,\"ozone\":null,\"ghi\":91.41057965841121,\"dni\":0.0,\"dhi\":91.41057965841121}",
+    "{\"date_time\":\"2024-11-04T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3555118553110441,\"wind_speed\":4.0,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":3.4,\"feels_like\":null,\"dew_point\":3.2,\"relative_humidity\":99.0,\"pressure\":1031.7,\"ozone\":null,\"ghi\":117.07563013335894,\"dni\":0.0,\"dhi\":117.07563013335894}",
+    "{\"date_time\":\"2024-11-04T12:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":350.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.411639131909973,\"wind_speed\":3.6,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":4.6,\"feels_like\":null,\"dew_point\":4.0,\"relative_humidity\":96.0,\"pressure\":1030.9,\"ozone\":null,\"ghi\":157.14326578481194,\"dni\":14.639827403702798,\"dhi\":151.09589042551917}",
+    "{\"date_time\":\"2024-11-04T13:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":21410.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4587699149332078,\"wind_speed\":4.3,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":5.5,\"feels_like\":null,\"dew_point\":4.6,\"relative_humidity\":94.0,\"pressure\":1029.9,\"ozone\":null,\"ghi\":339.81370340762766,\"dni\":626.3444200231016,\"dhi\":92.86155820300033}",
+    "{\"date_time\":\"2024-11-04T14:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":39060.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.5252929600670635,\"wind_speed\":2.9,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":8.1,\"feels_like\":null,\"dew_point\":5.5,\"relative_humidity\":84.0,\"pressure\":1029.0,\"ozone\":null,\"ghi\":271.20800751093515,\"dni\":549.6301264862547,\"dhi\":87.32285840607426}",
+    "{\"date_time\":\"2024-11-04T15:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":36810.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.5619693663437841,\"wind_speed\":5.4,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":9.5,\"feels_like\":null,\"dew_point\":6.0,\"relative_humidity\":79.0,\"pressure\":1028.5,\"ozone\":null,\"ghi\":164.34557743320204,\"dni\":378.3659028909279,\"dhi\":74.29470308711969}",
+    "{\"date_time\":\"2024-11-04T16:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":61290.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.5325727324790135,\"wind_speed\":5.4,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":7.6,\"feels_like\":null,\"dew_point\":5.6,\"relative_humidity\":87.0,\"pressure\":1028.09,\"ozone\":null,\"ghi\":43.66802704534112,\"dni\":44.64467562847794,\"dhi\":38.705191642431814}",
+    "{\"date_time\":\"2024-11-04T17:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":45940.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3447696273196648,\"wind_speed\":4.3,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":4.5,\"feels_like\":null,\"dew_point\":3.3,\"relative_humidity\":92.0,\"pressure\":1028.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T18:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":44410.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2349798532829575,\"wind_speed\":4.3,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":2.7,\"feels_like\":null,\"dew_point\":1.8,\"relative_humidity\":94.0,\"pressure\":1028.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T19:00:00+01:00\",\"total_clouds\":12.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":44940.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2247906544736582,\"wind_speed\":6.1,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":2.2,\"feels_like\":null,\"dew_point\":1.7,\"relative_humidity\":96.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T20:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":47840.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2160391817564757,\"wind_speed\":7.6,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":1.9,\"feels_like\":null,\"dew_point\":1.5,\"relative_humidity\":97.0,\"pressure\":1029.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T21:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":37930.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2430135737816375,\"wind_speed\":7.2,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":2.1,\"feels_like\":null,\"dew_point\":1.9,\"relative_humidity\":98.0,\"pressure\":1029.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T22:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":18950.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2503071264418593,\"wind_speed\":4.0,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":2.2,\"feels_like\":null,\"dew_point\":1.9,\"relative_humidity\":98.0,\"pressure\":1029.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-04T23:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.255697385759001,\"wind_speed\":7.6,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":2.1,\"feels_like\":null,\"dew_point\":1.9,\"relative_humidity\":99.0,\"pressure\":1029.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T00:00:00+01:00\",\"total_clouds\":12.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":6660.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2430135737816375,\"wind_speed\":7.6,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":2.1,\"feels_like\":null,\"dew_point\":1.8,\"relative_humidity\":98.0,\"pressure\":1028.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T01:00:00+01:00\",\"total_clouds\":12.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":1020.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1847396035714295,\"wind_speed\":8.6,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":1.1,\"feels_like\":null,\"dew_point\":0.9,\"relative_humidity\":99.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T02:00:00+01:00\",\"total_clouds\":75.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":4820.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.0896999604310647,\"wind_speed\":7.9,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":0.0,\"feels_like\":null,\"dew_point\":-0.4,\"relative_humidity\":97.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T03:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":230.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.0472255738551546,\"wind_speed\":7.9,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":-0.7,\"feels_like\":null,\"dew_point\":-1.1,\"relative_humidity\":97.0,\"pressure\":1028.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T04:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":1170.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.0402709520121391,\"wind_speed\":6.8,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":-1.0,\"feels_like\":null,\"dew_point\":-1.3,\"relative_humidity\":98.0,\"pressure\":1028.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T05:00:00+01:00\",\"total_clouds\":0.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":430.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":0.9964253886852408,\"wind_speed\":7.2,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":-1.4,\"feels_like\":null,\"dew_point\":-1.9,\"relative_humidity\":96.0,\"pressure\":1028.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T06:00:00+01:00\",\"total_clouds\":25.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":200.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":0.9908715007922109,\"wind_speed\":7.9,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":-1.5,\"feels_like\":null,\"dew_point\":-2.0,\"relative_humidity\":96.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T07:00:00+01:00\",\"total_clouds\":37.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":180.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":0.9845964358395034,\"wind_speed\":7.2,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":-1.8,\"feels_like\":null,\"dew_point\":-2.2,\"relative_humidity\":97.0,\"pressure\":1028.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T08:00:00+01:00\",\"total_clouds\":87.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":250.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.01904093258332,\"wind_speed\":7.2,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":-1.0,\"feels_like\":null,\"dew_point\":-1.5,\"relative_humidity\":96.0,\"pressure\":1029.2,\"ozone\":null,\"ghi\":12.910799386398546,\"dni\":0.0,\"dhi\":12.910799386398546}",
+    "{\"date_time\":\"2024-11-05T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":150.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.1949683522039627,\"wind_speed\":4.7,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":1.6,\"feels_like\":null,\"dew_point\":1.1,\"relative_humidity\":97.0,\"pressure\":1029.09,\"ozone\":null,\"ghi\":51.27161617785122,\"dni\":0.0,\"dhi\":51.27161617785122}",
+    "{\"date_time\":\"2024-11-05T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2630.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2612560203740841,\"wind_speed\":3.2,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":2.7,\"feels_like\":null,\"dew_point\":2.2,\"relative_humidity\":96.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":89.63381300017787,\"dni\":0.0,\"dhi\":89.63381300017787}",
+    "{\"date_time\":\"2024-11-05T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":11070.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2885323670339885,\"wind_speed\":5.8,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":3.6,\"feels_like\":null,\"dew_point\":2.6,\"relative_humidity\":93.0,\"pressure\":1028.2,\"ozone\":null,\"ghi\":115.24250625572647,\"dni\":0.0,\"dhi\":115.24250625572647}",
+    "{\"date_time\":\"2024-11-05T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12260.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3288271029735363,\"wind_speed\":7.9,\"wind_direction\":100.0,\"frost_chance\":null,\"temp_air\":4.3,\"feels_like\":null,\"dew_point\":3.2,\"relative_humidity\":92.0,\"pressure\":1028.0,\"ozone\":null,\"ghi\":124.73888203411694,\"dni\":0.0,\"dhi\":124.73888203411694}",
+    "{\"date_time\":\"2024-11-05T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":13640.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3461330520092738,\"wind_speed\":12.6,\"wind_direction\":160.0,\"frost_chance\":null,\"temp_air\":4.7,\"feels_like\":null,\"dew_point\":3.4,\"relative_humidity\":91.0,\"pressure\":1027.7,\"ozone\":null,\"ghi\":117.11630570621142,\"dni\":0.0,\"dhi\":117.11630570621142}",
+    "{\"date_time\":\"2024-11-05T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14990.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.380031254206577,\"wind_speed\":10.8,\"wind_direction\":170.0,\"frost_chance\":null,\"temp_air\":5.3,\"feels_like\":null,\"dew_point\":3.8,\"relative_humidity\":90.0,\"pressure\":1027.5,\"ozone\":null,\"ghi\":93.17139021360312,\"dni\":0.0,\"dhi\":93.17139021360312}",
+    "{\"date_time\":\"2024-11-05T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14400.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3738841320739368,\"wind_speed\":8.6,\"wind_direction\":160.0,\"frost_chance\":null,\"temp_air\":5.6,\"feels_like\":null,\"dew_point\":3.8,\"relative_humidity\":88.0,\"pressure\":1027.3,\"ozone\":null,\"ghi\":55.91961682093465,\"dni\":0.0,\"dhi\":55.91961682093465}",
+    "{\"date_time\":\"2024-11-05T16:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":15490.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.381175770521867,\"wind_speed\":6.1,\"wind_direction\":150.0,\"frost_chance\":null,\"temp_air\":5.5,\"feels_like\":null,\"dew_point\":3.8,\"relative_humidity\":89.0,\"pressure\":1027.3,\"ozone\":null,\"ghi\":14.182910983589771,\"dni\":0.0,\"dhi\":14.182910983589771}",
+    "{\"date_time\":\"2024-11-05T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12550.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4260322960134626,\"wind_speed\":5.4,\"wind_direction\":140.0,\"frost_chance\":null,\"temp_air\":5.3,\"feels_like\":null,\"dew_point\":4.2,\"relative_humidity\":93.0,\"pressure\":1027.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3050.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4479915832345371,\"wind_speed\":4.0,\"wind_direction\":100.0,\"frost_chance\":null,\"temp_air\":5.2,\"feels_like\":null,\"dew_point\":4.4,\"relative_humidity\":95.0,\"pressure\":1027.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":470.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4346133748222865,\"wind_speed\":3.2,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":4.3,\"relative_humidity\":93.0,\"pressure\":1027.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T20:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":320.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4346133748222865,\"wind_speed\":5.0,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":4.4,\"relative_humidity\":93.0,\"pressure\":1027.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":350.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4587699149332078,\"wind_speed\":4.0,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":5.5,\"feels_like\":null,\"dew_point\":4.7,\"relative_humidity\":94.0,\"pressure\":1027.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":200.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4808912256230051,\"wind_speed\":4.0,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":4.8,\"relative_humidity\":96.0,\"pressure\":1027.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-05T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":170.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4873670184226437,\"wind_speed\":3.6,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":5.3,\"feels_like\":null,\"dew_point\":4.9,\"relative_humidity\":97.0,\"pressure\":1027.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":210.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4784756165657906,\"wind_speed\":2.5,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":5.2,\"feels_like\":null,\"dew_point\":4.8,\"relative_humidity\":97.0,\"pressure\":1027.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":170.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4696426588157527,\"wind_speed\":2.5,\"wind_direction\":10.0,\"frost_chance\":null,\"temp_air\":5.1,\"feels_like\":null,\"dew_point\":4.7,\"relative_humidity\":97.0,\"pressure\":1028.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":690.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4696426588157527,\"wind_speed\":3.2,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":5.1,\"feels_like\":null,\"dew_point\":4.7,\"relative_humidity\":97.0,\"pressure\":1028.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":900.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.452150835143925,\"wind_speed\":5.8,\"wind_direction\":200.0,\"frost_chance\":null,\"temp_air\":4.9,\"feels_like\":null,\"dew_point\":4.5,\"relative_humidity\":97.0,\"pressure\":1028.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2150.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.1,\"preciptable_water\":1.4458073416320942,\"wind_speed\":5.0,\"wind_direction\":190.0,\"frost_chance\":null,\"temp_air\":5.0,\"feels_like\":null,\"dew_point\":4.4,\"relative_humidity\":96.0,\"pressure\":1028.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":2410.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4608678347740953,\"wind_speed\":2.5,\"wind_direction\":210.0,\"frost_chance\":null,\"temp_air\":5.0,\"feels_like\":null,\"dew_point\":4.5,\"relative_humidity\":97.0,\"pressure\":1028.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":3520.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.484793614061276,\"wind_speed\":1.8,\"wind_direction\":180.0,\"frost_chance\":null,\"temp_air\":5.1,\"feels_like\":null,\"dew_point\":4.8,\"relative_humidity\":98.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":900.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4632335999001638,\"wind_speed\":2.2,\"wind_direction\":160.0,\"frost_chance\":null,\"temp_air\":5.2,\"feels_like\":null,\"dew_point\":4.6,\"relative_humidity\":96.0,\"pressure\":1029.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12750.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4808912256230051,\"wind_speed\":1.8,\"wind_direction\":120.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":4.9,\"relative_humidity\":96.0,\"pressure\":1029.7,\"ozone\":null,\"ghi\":9.426582342676907,\"dni\":0.0,\"dhi\":9.426582342676907}",
+    "{\"date_time\":\"2024-11-06T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":6980.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4831703698525456,\"wind_speed\":2.2,\"wind_direction\":340.0,\"frost_chance\":null,\"temp_air\":5.6,\"feels_like\":null,\"dew_point\":4.8,\"relative_humidity\":95.0,\"pressure\":1030.5,\"ozone\":null,\"ghi\":49.66881557471828,\"dni\":0.0,\"dhi\":49.66881557471828}",
+    "{\"date_time\":\"2024-11-06T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":15760.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4233298143003077,\"wind_speed\":3.2,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":6.0,\"feels_like\":null,\"dew_point\":4.3,\"relative_humidity\":89.0,\"pressure\":1030.9,\"ozone\":null,\"ghi\":87.87424898748947,\"dni\":0.0,\"dhi\":87.87424898748947}",
+    "{\"date_time\":\"2024-11-06T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":29630.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4252928707378512,\"wind_speed\":5.0,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":6.4,\"feels_like\":null,\"dew_point\":4.4,\"relative_humidity\":87.0,\"pressure\":1031.5,\"ozone\":null,\"ghi\":113.42891032649719,\"dni\":0.0,\"dhi\":113.42891032649719}",
+    "{\"date_time\":\"2024-11-06T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":19110.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.409437502900786,\"wind_speed\":3.6,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":6.6,\"feels_like\":null,\"dew_point\":4.2,\"relative_humidity\":85.0,\"pressure\":1031.59,\"ozone\":null,\"ghi\":122.91825781571202,\"dni\":0.0,\"dhi\":122.91825781571202}",
+    "{\"date_time\":\"2024-11-06T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":25120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3846109217160805,\"wind_speed\":5.0,\"wind_direction\":360.0,\"frost_chance\":null,\"temp_air\":6.7,\"feels_like\":null,\"dew_point\":4.0,\"relative_humidity\":83.0,\"pressure\":1031.7,\"ozone\":null,\"ghi\":115.32501526045236,\"dni\":0.0,\"dhi\":115.32501526045236}",
+    "{\"date_time\":\"2024-11-06T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":28400.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4012929810138648,\"wind_speed\":4.0,\"wind_direction\":340.0,\"frost_chance\":null,\"temp_air\":6.7,\"feels_like\":null,\"dew_point\":4.2,\"relative_humidity\":84.0,\"pressure\":1031.5,\"ozone\":null,\"ghi\":91.45155097121383,\"dni\":0.0,\"dhi\":91.45155097121383}",
+    "{\"date_time\":\"2024-11-06T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":25950.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3844732659494836,\"wind_speed\":4.3,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":6.5,\"feels_like\":null,\"dew_point\":4.1,\"relative_humidity\":84.0,\"pressure\":1031.59,\"ozone\":null,\"ghi\":54.35521490956087,\"dni\":0.0,\"dhi\":54.35521490956087}",
+    "{\"date_time\":\"2024-11-06T16:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":22070.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3678703280167073,\"wind_speed\":4.7,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":6.3,\"feels_like\":null,\"dew_point\":3.8,\"relative_humidity\":84.0,\"pressure\":1031.8,\"ozone\":null,\"ghi\":13.133993037937158,\"dni\":0.0,\"dhi\":13.133993037937158}",
+    "{\"date_time\":\"2024-11-06T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":22360.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.36757098972718,\"wind_speed\":6.1,\"wind_direction\":100.0,\"frost_chance\":null,\"temp_air\":6.1,\"feels_like\":null,\"dew_point\":3.8,\"relative_humidity\":85.0,\"pressure\":1032.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17470.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3829953007358158,\"wind_speed\":7.6,\"wind_direction\":110.0,\"frost_chance\":null,\"temp_air\":5.9,\"feels_like\":null,\"dew_point\":3.9,\"relative_humidity\":87.0,\"pressure\":1032.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":18050.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3114348533433033,\"wind_speed\":2.2,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":5.6,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":84.0,\"pressure\":1032.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T20:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":16940.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3112057726870359,\"wind_speed\":4.7,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":85.0,\"pressure\":1032.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":16260.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3266317229539424,\"wind_speed\":5.8,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":3.3,\"relative_humidity\":86.0,\"pressure\":1033.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14540.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3112057726870359,\"wind_speed\":4.3,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":3.0,\"relative_humidity\":85.0,\"pressure\":1033.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-06T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14150.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2803293999126435,\"wind_speed\":2.9,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":5.2,\"feels_like\":null,\"dew_point\":2.8,\"relative_humidity\":84.0,\"pressure\":1033.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2878311958694741,\"wind_speed\":6.5,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":5.1,\"feels_like\":null,\"dew_point\":2.8,\"relative_humidity\":85.0,\"pressure\":1033.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":20750.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2952024102120847,\"wind_speed\":6.5,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":5.0,\"feels_like\":null,\"dew_point\":2.9,\"relative_humidity\":86.0,\"pressure\":1033.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":19330.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2725033091467384,\"wind_speed\":5.4,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":4.9,\"feels_like\":null,\"dew_point\":2.7,\"relative_humidity\":85.0,\"pressure\":1033.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17310.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2500209307860815,\"wind_speed\":5.0,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":5.0,\"feels_like\":null,\"dew_point\":2.4,\"relative_humidity\":83.0,\"pressure\":1033.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":28980.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2878311958694741,\"wind_speed\":7.2,\"wind_direction\":80.0,\"frost_chance\":null,\"temp_air\":5.1,\"feels_like\":null,\"dew_point\":2.8,\"relative_humidity\":85.0,\"pressure\":1033.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":22600.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2726802406239508,\"wind_speed\":7.6,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":5.1,\"feels_like\":null,\"dew_point\":2.7,\"relative_humidity\":84.0,\"pressure\":1033.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":21600.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2952024102120847,\"wind_speed\":5.4,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":5.0,\"feels_like\":null,\"dew_point\":2.8,\"relative_humidity\":86.0,\"pressure\":1033.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":19120.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2803293999126435,\"wind_speed\":5.8,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":5.2,\"feels_like\":null,\"dew_point\":2.7,\"relative_humidity\":84.0,\"pressure\":1033.3,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":16970.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3112057726870359,\"wind_speed\":5.4,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":85.0,\"pressure\":1033.8,\"ozone\":null,\"ghi\":8.498732233274223,\"dni\":0.0,\"dhi\":8.498732233274223}",
+    "{\"date_time\":\"2024-11-07T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":20190.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3036333508504807,\"wind_speed\":6.8,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":5.7,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":83.0,\"pressure\":1034.2,\"ozone\":null,\"ghi\":48.08590935974426,\"dni\":0.0,\"dhi\":48.08590935974426}",
+    "{\"date_time\":\"2024-11-07T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":20410.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.311382525535115,\"wind_speed\":6.1,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":6.0,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":82.0,\"pressure\":1034.4,\"ozone\":null,\"ghi\":86.13289253240517,\"dni\":0.0,\"dhi\":86.13289253240517}",
+    "{\"date_time\":\"2024-11-07T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":23940.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3032147078576655,\"wind_speed\":6.8,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":6.1,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":81.0,\"pressure\":1034.5,\"ozone\":null,\"ghi\":111.63587311647375,\"dni\":0.0,\"dhi\":111.63587311647375}",
+    "{\"date_time\":\"2024-11-07T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":22710.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3106141340118171,\"wind_speed\":7.9,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":6.4,\"feels_like\":null,\"dew_point\":3.3,\"relative_humidity\":80.0,\"pressure\":1034.0,\"ozone\":null,\"ghi\":121.12176907062565,\"dni\":0.0,\"dhi\":121.12176907062565}",
+    "{\"date_time\":\"2024-11-07T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":22430.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2701653045869423,\"wind_speed\":9.4,\"wind_direction\":80.0,\"frost_chance\":null,\"temp_air\":6.3,\"feels_like\":null,\"dew_point\":2.7,\"relative_humidity\":78.0,\"pressure\":1033.7,\"ozone\":null,\"ghi\":113.56192265137761,\"dni\":0.0,\"dhi\":113.56192265137761}",
+    "{\"date_time\":\"2024-11-07T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":23210.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3020641429763,\"wind_speed\":7.9,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":6.5,\"feels_like\":null,\"dew_point\":3.2,\"relative_humidity\":79.0,\"pressure\":1033.3,\"ozone\":null,\"ghi\":89.7641924158202,\"dni\":0.0,\"dhi\":89.7641924158202}",
+    "{\"date_time\":\"2024-11-07T15:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":23220.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2845185659293759,\"wind_speed\":7.2,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":6.7,\"feels_like\":null,\"dew_point\":3.0,\"relative_humidity\":77.0,\"pressure\":1032.9,\"ozone\":null,\"ghi\":52.82846758743223,\"dni\":0.0,\"dhi\":52.82846758743223}",
+    "{\"date_time\":\"2024-11-07T16:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":24990.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.293366179132486,\"wind_speed\":8.3,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":6.6,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":78.0,\"pressure\":1032.8,\"ozone\":null,\"ghi\":12.137164591797857,\"dni\":0.0,\"dhi\":12.137164591797857}",
+    "{\"date_time\":\"2024-11-07T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":23620.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2855823183816633,\"wind_speed\":5.8,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":6.5,\"feels_like\":null,\"dew_point\":2.9,\"relative_humidity\":78.0,\"pressure\":1032.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":20330.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2949042355874099,\"wind_speed\":5.0,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":6.2,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":80.0,\"pressure\":1032.8,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":23590.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2625316296977247,\"wind_speed\":4.0,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":6.2,\"feels_like\":null,\"dew_point\":2.7,\"relative_humidity\":78.0,\"pressure\":1032.9,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T20:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":18610.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3032147078576655,\"wind_speed\":6.1,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":6.1,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":81.0,\"pressure\":1033.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":15020.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.311382525535115,\"wind_speed\":9.0,\"wind_direction\":80.0,\"frost_chance\":null,\"temp_air\":6.0,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":82.0,\"pressure\":1033.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14560.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.311382525535115,\"wind_speed\":9.4,\"wind_direction\":80.0,\"frost_chance\":null,\"temp_air\":6.0,\"feels_like\":null,\"dew_point\":3.1,\"relative_humidity\":82.0,\"pressure\":1033.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-07T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14290.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2956943683229234,\"wind_speed\":9.4,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":5.8,\"feels_like\":null,\"dew_point\":2.9,\"relative_humidity\":82.0,\"pressure\":1033.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T00:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":13230.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2879269249366194,\"wind_speed\":9.0,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":5.7,\"feels_like\":null,\"dew_point\":2.8,\"relative_humidity\":82.0,\"pressure\":1033.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T01:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":10600.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.295822533660645,\"wind_speed\":6.8,\"wind_direction\":80.0,\"frost_chance\":null,\"temp_air\":5.6,\"feels_like\":null,\"dew_point\":2.9,\"relative_humidity\":83.0,\"pressure\":1033.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T02:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":10300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2726954899905094,\"wind_speed\":9.0,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":5.3,\"feels_like\":null,\"dew_point\":2.7,\"relative_humidity\":83.0,\"pressure\":1032.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T03:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":10800.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2726802406239508,\"wind_speed\":9.0,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":5.1,\"feels_like\":null,\"dew_point\":2.7,\"relative_humidity\":84.0,\"pressure\":1032.0,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T04:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":10600.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.25003374788666,\"wind_speed\":9.0,\"wind_direction\":50.0,\"frost_chance\":null,\"temp_air\":4.8,\"feels_like\":null,\"dew_point\":2.3,\"relative_humidity\":84.0,\"pressure\":1031.5,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T05:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":11200.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.257532681980306,\"wind_speed\":11.9,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":4.9,\"feels_like\":null,\"dew_point\":2.4,\"relative_humidity\":84.0,\"pressure\":1031.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T06:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":11200.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2351842404212265,\"wind_speed\":9.0,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":4.6,\"feels_like\":null,\"dew_point\":2.2,\"relative_humidity\":84.0,\"pressure\":1031.09,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T07:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":13800.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.22783313798752,\"wind_speed\":10.1,\"wind_direction\":30.0,\"frost_chance\":null,\"temp_air\":4.5,\"feels_like\":null,\"dew_point\":2.1,\"relative_humidity\":84.0,\"pressure\":1030.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T08:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2351842404212265,\"wind_speed\":9.0,\"wind_direction\":20.0,\"frost_chance\":null,\"temp_air\":4.6,\"feels_like\":null,\"dew_point\":2.1,\"relative_humidity\":84.0,\"pressure\":1030.59,\"ozone\":null,\"ghi\":7.618065280685061,\"dni\":0.0,\"dhi\":7.618065280685061}",
+    "{\"date_time\":\"2024-11-08T09:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":13200.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.257532681980306,\"wind_speed\":2.9,\"wind_direction\":350.0,\"frost_chance\":null,\"temp_air\":4.9,\"feels_like\":null,\"dew_point\":2.5,\"relative_humidity\":84.0,\"pressure\":1030.5,\"ozone\":null,\"ghi\":46.52393962571433,\"dni\":0.0,\"dhi\":46.52393962571433}",
+    "{\"date_time\":\"2024-11-08T10:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12300.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2952024102120847,\"wind_speed\":5.0,\"wind_direction\":40.0,\"frost_chance\":null,\"temp_air\":5.0,\"feels_like\":null,\"dew_point\":2.8,\"relative_humidity\":86.0,\"pressure\":1030.3,\"ozone\":null,\"ghi\":84.41073757319909,\"dni\":0.0,\"dhi\":84.41073757319909}",
+    "{\"date_time\":\"2024-11-08T11:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":11900.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3635859720970902,\"wind_speed\":6.8,\"wind_direction\":60.0,\"frost_chance\":null,\"temp_air\":5.1,\"feels_like\":null,\"dew_point\":3.6,\"relative_humidity\":90.0,\"pressure\":1030.2,\"ozone\":null,\"ghi\":109.86441465473348,\"dni\":0.0,\"dhi\":109.86441465473348}",
+    "{\"date_time\":\"2024-11-08T12:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":9500.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4695070274881938,\"wind_speed\":7.9,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":5.8,\"feels_like\":null,\"dew_point\":4.7,\"relative_humidity\":93.0,\"pressure\":1029.5,\"ozone\":null,\"ghi\":119.35043772145661,\"dni\":0.0,\"dhi\":119.35043772145661}",
+    "{\"date_time\":\"2024-11-08T13:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":14500.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.498143692589727,\"wind_speed\":6.1,\"wind_direction\":70.0,\"frost_chance\":null,\"temp_air\":6.3,\"feels_like\":null,\"dew_point\":5.1,\"relative_humidity\":92.0,\"pressure\":1028.8,\"ozone\":null,\"ghi\":111.82801067882036,\"dni\":0.0,\"dhi\":111.82801067882036}",
+    "{\"date_time\":\"2024-11-08T14:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.1,\"preciptable_water\":1.4923455913067147,\"wind_speed\":11.2,\"wind_direction\":90.0,\"frost_chance\":null,\"temp_air\":6.6,\"feels_like\":null,\"dew_point\":5.1,\"relative_humidity\":90.0,\"pressure\":1028.4,\"ozone\":null,\"ghi\":88.1102014938565,\"dni\":0.0,\"dhi\":88.1102014938565}",
+    "{\"date_time\":\"2024-11-08T15:00:00+01:00\",\"total_clouds\":88.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":10200.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4801944829988296,\"wind_speed\":14.0,\"wind_direction\":130.0,\"frost_chance\":null,\"temp_air\":6.1,\"feels_like\":null,\"dew_point\":4.9,\"relative_humidity\":92.0,\"pressure\":1028.4,\"ozone\":null,\"ghi\":62.78155778969431,\"dni\":0.0,\"dhi\":62.78155778969431}",
+    "{\"date_time\":\"2024-11-08T16:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":12000.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.456767265035836,\"wind_speed\":13.0,\"wind_direction\":120.0,\"frost_chance\":null,\"temp_air\":6.2,\"feels_like\":null,\"dew_point\":4.7,\"relative_humidity\":90.0,\"pressure\":1028.3,\"ozone\":null,\"ghi\":11.192374342113588,\"dni\":0.0,\"dhi\":11.192374342113588}",
+    "{\"date_time\":\"2024-11-08T17:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":7900.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.4243946591461507,\"wind_speed\":11.2,\"wind_direction\":110.0,\"frost_chance\":null,\"temp_air\":6.2,\"feels_like\":null,\"dew_point\":4.4,\"relative_humidity\":88.0,\"pressure\":1028.2,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T18:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":9200.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3913448746531096,\"wind_speed\":15.1,\"wind_direction\":130.0,\"frost_chance\":null,\"temp_air\":6.0,\"feels_like\":null,\"dew_point\":4.0,\"relative_humidity\":87.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T19:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":9500.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3829953007358158,\"wind_speed\":9.0,\"wind_direction\":140.0,\"frost_chance\":null,\"temp_air\":5.9,\"feels_like\":null,\"dew_point\":3.9,\"relative_humidity\":87.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T20:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":10100.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3588989716557491,\"wind_speed\":9.0,\"wind_direction\":140.0,\"frost_chance\":null,\"temp_air\":5.8,\"feels_like\":null,\"dew_point\":3.7,\"relative_humidity\":86.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T21:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":9900.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.3430978208225428,\"wind_speed\":9.0,\"wind_direction\":140.0,\"frost_chance\":null,\"temp_air\":5.8,\"feels_like\":null,\"dew_point\":3.5,\"relative_humidity\":85.0,\"pressure\":1028.59,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T22:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":17700.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.295822533660645,\"wind_speed\":10.1,\"wind_direction\":150.0,\"frost_chance\":null,\"temp_air\":5.6,\"feels_like\":null,\"dew_point\":3.0,\"relative_humidity\":83.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-08T23:00:00+01:00\",\"total_clouds\":100.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":15500.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":null,\"precip_amt\":0.0,\"preciptable_water\":1.2957798224201298,\"wind_speed\":10.1,\"wind_direction\":130.0,\"frost_chance\":null,\"temp_air\":5.4,\"feels_like\":null,\"dew_point\":2.9,\"relative_humidity\":84.0,\"pressure\":1028.7,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}",
+    "{\"date_time\":\"2024-11-09T00:00:00+01:00\",\"total_clouds\":86.0,\"low_clouds\":null,\"medium_clouds\":null,\"high_clouds\":null,\"visibility\":8700.0,\"fog\":null,\"precip_type\":null,\"precip_prob\":1.0,\"precip_amt\":0.0,\"preciptable_water\":null,\"wind_speed\":5.5,\"wind_direction\":87.0,\"frost_chance\":null,\"temp_air\":5.3,\"feels_like\":null,\"dew_point\":2.8,\"relative_humidity\":null,\"pressure\":1027.4,\"ozone\":null,\"ghi\":0.0,\"dni\":0.0,\"dhi\":0.0}"
+]
\ No newline at end of file
diff --git a/tests/testdata/weatherforecast_clearout_1.html b/tests/testdata/weatherforecast_clearout_1.html
new file mode 100644
index 0000000..75ccafb
--- /dev/null
+++ b/tests/testdata/weatherforecast_clearout_1.html
@@ -0,0 +1,2221 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+
+  <meta charset="utf-8">
+  <meta http-equiv="X-UA-Compatible" content="IE=edge">
+
+  <title>Clear Outside v1.0 - International Weather Forecasts For Astronomers</title>
+
+  <link rel="shortcut icon" href="https://clearoutside.com/public/images/favicon.png">
+
+  <!-- App Store Link -->
+
+  <meta name="apple-itunes-app" content="app-id=921555752">
+
+  <!-- Bootstrap CSS -->
+  <link href="https://clearoutside.com/public/css/bootstrap.min.css?v=22042023a" rel="stylesheet">
+
+
+  <!-- Clear Outside CSS -->
+  <link href="https://clearoutside.com/public/css/clear_outside.css?v=22042023a" rel="stylesheet">
+
+
+  <!-- Climacons Font CSS -->
+  <link href="https://clearoutside.com/public/css/climacons-font.css?v=22042023a" rel="stylesheet">
+
+  <!-- HTML5 Shim and Respond.js IE8 support of HTML5 elements and media queries -->
+  <!--[if lt IE 9]>
+    <script src="https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js"></script>
+    <script src="https://oss.maxcdn.com/libs/respond.js/1.4.2/respond.min.js"></script>
+  <![endif]-->
+
+  <!-- IE9 And Below Specific CSS -->
+  <!--[if lt IE 10]>
+    <link href="https://clearoutside.com/public/css/clear_outside_ie.css?v=22042023a" rel="stylesheet">
+  <![endif]-->
+
+  <!-- Google tag (gtag.js) -->
+  <script async src="https://www.googletagmanager.com/gtag/js?id=G-ZTEGK27ZGB"></script>
+  <script>
+    window.dataLayer = window.dataLayer || [];
+    function gtag(){dataLayer.push(arguments);}
+    gtag('js', new Date());
+
+    gtag('config', 'G-ZTEGK27ZGB');
+  </script>
+
+</head>
+
+<body role="document">
+
+
+
+    <!-- Header -->
+
+    <header class="page-header">
+
+      <div class="container">
+
+        <a href="https://clearoutside.com/" title="Clear Outside - Home" class="logo"><img src="https://clearoutside.com/public/images/clear_outside_logo.jpg" class="img-responsive" alt="Clear Outside Logo" /></a>
+
+        <a href="http://www.firstlightoptics.com/" target="_NEW" title="Brought to you by: First Light Optics" class="top_banner"><img src="https://clearoutside.com/public/images/flo_banner.png" class="img-responsive" alt="First Light Optics Logo" /></a>
+
+      </div>
+
+
+    <!-- Navigation -->
+    <div class="navbar navbar-inverse" role="navigation">
+      <div class="container">
+        <div class="navbar-header">
+          <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-collapse">
+            <span class="sr-only">Toggle navigation</span>
+            <span class="icon-bar"></span>
+            <span class="icon-bar"></span>
+            <span class="icon-bar"></span>
+          </button>
+        </div>
+        <div class="navbar-collapse collapse">
+          <ul class="nav navbar-nav">
+            <li><a href="https://clearoutside.com/">HOME</a></li>
+            <li><a href="https://clearoutside.com/page/how_to_use/">HOW TO USE</a></li>
+            <li><a href="https://clearoutside.com/page/app/">IOS / ANDROID APP</a></li>
+            <li><a href="https://clearoutside.com/page/faq/">FAQ</a></li>
+            <li><a href="https://clearoutside.com/page/useful_links/">USEFUL LINKS</a></li>
+            <li><a href="https://clearoutside.com/page/status/">STATUS</a></li>
+            <li><a href="https://clearoutside.com/page/road_map/">ROAD MAP</a></li>
+            <li><a href="https://clearoutside.com/page/get_in_touch/">GET IN TOUCH</a></li>
+          </ul>
+        </div>
+      </div>
+    </div>
+
+    </header>
+
+  <div class="container address_form">
+
+  <form action="https://clearoutside.com/forecast/view_forecast" class="form-inline" id="address_search_form" role="form" method="post" accept-charset="utf-8">
+                                                                                          <input type="hidden" name="csrf_token" value="c87ae115cff4e94bb6547ae499f42862" />
+
+      <div class="row">
+
+        <div class="form-group col-xs-12 col-sm-10 col-md-4 col-lg-5" style="padding: 0px 5px;">
+
+          <label class="sr-only" for="address">Lookup Address / Town / Postcode</label>
+          <div class="autocomplete-container" id="address_id"></div>
+
+        </div>
+
+        <div class="form-group col-xs-2 col-md-1 col-lg-1" style="padding: 0px; text-align: center;">
+
+          <label>or enter</label>
+
+        </div>
+
+        <div class="form-group col-xs-5 col-sm-3 col-md-2 col-lg-2" style="padding: 0px 5px;">
+
+          <label class="sr-only" for="latitude">Latitude</label>
+          <input type="latitude" class="form-control input-lg" style="width: 100%;" name="latitude" id="latitude_id" placeholder="Latitude" value="50.0" />
+
+        </div>
+
+        <div class="form-group col-xs-5 col-sm-3 col-md-2 col-lg-2" style="padding: 0px 5px;">
+
+          <label class="sr-only" for="longitude">Longitude</label>
+          <input type="longitude" class="form-control input-lg" style="width: 100%;" name="longitude" id="longitude_id" placeholder="Longitude" value="10.0" />
+
+        </div>
+
+        <button type="submit" class="btn btn-lg btn-get_forecast">Get Forecast</button>
+
+      </div>
+
+    </form>
+
+  </div>
+
+  <div class="container content" role="main">
+
+    <div id="address_form_alerts"></div>
+
+
+<br />
+<a href="https://www.ikarusimaging.com/pulsar-observatories/?utm_source=clear_outside&utm_medium=website_banner&utm_campaign=co_pulsar_observatories" target="_BLANK" title="Pulsar Observatories - Package Deals Available!"><img src="https://clearoutside.com/public/banners/co_pulsar_observatories_banner.jpg" class="center-block img-responsive" /></a>
+
+
+<h1>Forecast for Schwebenried, Lower Franconia, Germany (50.00,10.00)</h1>
+
+<span class="btn btn-primary btn-bortle-4"><span class="glyphicon glyphicon-eye-open" style="top: 2px;"></span> &nbsp; Est. Sky Quality: &nbsp;<strong>21.4</strong> Magnitude. &nbsp;<strong>Class 4</strong> Bortle. &nbsp;<strong>0.3</strong> mcd/m<sup>2</sup> Brightness. &nbsp;<strong>125.47</strong> μcd/m<sup>2</sup> Artificial Brightness.</span>
+
+<h2>Generated: 26/10/24 16:27:13. Forecast: 26/10/24 to 01/11/24. Timezone: UTC+2.00</h2>
+
+<a href="https://clearoutside.com/annual_darkness/50.00/10.00" class="btn btn-sm btn-secondary_navigation pull-left" title="Show The Annual Darkness Chart For This Location"><span class="glyphicon glyphicon-certificate"></span> Annual Darkness</a>
+
+<a href="https://clearoutside.com/forecast_embed/50.00/10.00" class="btn btn-sm btn-secondary_navigation pull-left" title="Embed This Forecast On Your Own Website, Blog or Forum Signature"><span class="glyphicon glyphicon-pushpin"></span> Embed Forecast</a>
+
+<button type="submit" class="btn btn-sm btn-set_default" id="default_location_button" title="Click here to set 50.00,10.00 as your default location"><span class="glyphicon glyphicon-home"></span> Set as Default Location</button>
+
+<a href="?view=midnight" class="btn btn-sm btn-switch_view" id="switch_view_button" title="Click Here to Center on Midday"><span class="glyphicon glyphicon-time"></span> Center on Midday</a>
+
+<a href="?view=midday" class="btn btn-sm btn-switch_view" id="switch_view_button" title="Click Here to Center on Midnight"><span class="glyphicon glyphicon-time"></span> Center on Midnight</a>
+
+<div class="fc" id="forecast">
+
+      <div class="fc_day" id="day_0">
+
+        <div class="fc_day_date" title="Show Detailed Forecast"><span>Saturday</span> 26</div>
+
+        <div class="fc_moon" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Time:</strong> 08:37 27/10/2024 <br /> <strong>Altitude:</strong> 50.4&deg; <br /> <strong>Distance:</strong> 250,442 miles <br /> <strong>Rise:</strong> 02:24 27/10/2024 <br /> <strong>Set:</strong> 16:20 26/10/2024" data-title="Moon Meridian Details">
+
+          <div class="fc_moon_phase_image moon_phase_-20" title="Waning Crescent"></div>
+
+          <span class="fc_moon_phase">Waning Crescent</span>
+
+          <span class="fc_moon_percentage">23%</span>
+
+          <span class="fc_moon_riseset"><img src="https://clearoutside.com/public/images/rise_icon.png" alt="Moon Rise" height="8px" width="8px" /> 02:24 <img src="https://clearoutside.com/public/images/set_icon.png" alt="Moon Set" height="8px" width="8px" />  16:20</span>
+
+        </div>
+
+        <div class="fc_hours fc_hour_ratings">
+
+          <ul>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 16 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 17 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 18 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 19 <span>Bad</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 20 <span>OK</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 21 <span>Bad</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 22 <span>OK</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 23 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 00 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 01 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 02 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 03 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 04 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 05 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 06 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 07 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 08 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 09 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 10 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 11 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 12 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 13 <span>Bad</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 14 <span>OK</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 15 <span>Bad</span></li>
+          </ul>
+
+          <div class="fc_daylight" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Sunrise:</strong> 07:02 &nbsp; &nbsp; &nbsp;&nbsp; <strong>Sunset:</strong> 18:06 <br /> <strong>Sun Transit:</strong> 12:03 <br /> <strong>Civil Dark:</strong> 18:39 - 06:29 <br /> <strong>Nautical Dark:</strong> 19:17 - 05:51 <br /> <strong>Astro Dark:</strong> 19:55 - 05:14" data-title="Sun Rise/Set Details"><div class="fc_moonlight"></div><span>Sun - Rise: 07:02, Set: 18:06, Transit: 12:03.  Moon - Rise: 02:24, Set: 16:20. Civil Dark: 18:39 - 06:29. Nautical Dark: 19:17 - 05:51. <strong>Astro Dark: 19:55 - 05:14</strong></span></div>
+
+        </div>
+
+        <div class="fc_detail hidden-xs">
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Total Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_25">76</li>              <li class="fc_cl_30">69</li>              <li class="fc_cl_35">63</li>              <li class="fc_cl_0">99</li>              <li class="fc_cl_55">46</li>              <li class="fc_cl_45">54</li>              <li class="fc_cl_55">46</li>              <li class="fc_cl_5">95</li>              <li class="fc_cl_15">86</li>              <li class="fc_cl_15">86</li>              <li class="fc_cl_0">98</li>              <li class="fc_cl_0">99</li>              <li class="fc_cl_5">95</li>              <li class="fc_cl_15">87</li>              <li class="fc_cl_20">78</li>              <li class="fc_cl_40">62</li>              <li class="fc_cl_50">48</li>              <li class="fc_cl_45">54</li>              <li class="fc_cl_50">50</li>              <li class="fc_cl_40">62</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_35">63</li>              <li class="fc_cl_65">37</li>              <li class="fc_cl_45">55</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Low Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_60">40</li>              <li class="fc_cl_90">9</li>              <li class="fc_cl_60">41</li>              <li class="fc_cl_60">39</li>              <li class="fc_cl_85">14</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_95">6</li>              <li class="fc_cl_55">44</li>              <li class="fc_cl_35">67</li>              <li class="fc_cl_30">71</li>              <li class="fc_cl_30">71</li>              <li class="fc_cl_35">63</li>              <li class="fc_cl_45">57</li>              <li class="fc_cl_40">59</li>              <li class="fc_cl_40">59</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_65">36</li>              <li class="fc_cl_55">46</li>              <li class="fc_cl_70">29</li>              <li class="fc_cl_65">34</li>              <li class="fc_cl_65">35</li>              <li class="fc_cl_60">39</li>              <li class="fc_cl_75">25</li>              <li class="fc_cl_45">53</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Medium Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_75">25</li>              <li class="fc_cl_70">30</li>              <li class="fc_cl_70">29</li>              <li class="fc_cl_90">8</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_75">25</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_95">4</li>              <li class="fc_cl_95">7</li>              <li class="fc_cl_95">6</li>              <li class="fc_cl_95">5</li>              <li class="fc_cl_85">13</li>              <li class="fc_cl_90">11</li>              <li class="fc_cl_75">23</li>              <li class="fc_cl_75">24</li>              <li class="fc_cl_80">18</li>              <li class="fc_cl_70">32</li>              <li class="fc_cl_60">42</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_90">12</li>              <li class="fc_cl_100">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>High Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_70">31</li>              <li class="fc_cl_75">25</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_5">97</li>              <li class="fc_cl_55">46</li>              <li class="fc_cl_45">54</li>              <li class="fc_cl_55">46</li>              <li class="fc_cl_15">87</li>              <li class="fc_cl_45">53</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_10">91</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_45">54</li>              <li class="fc_cl_65">36</li>              <li class="fc_cl_90">8</li>              <li class="fc_cl_85">13</li>              <li class="fc_cl_95">5</li>              <li class="fc_cl_90">9</li>              <li class="fc_cl_90">11</li>              <li class="fc_cl_70">29</li>              <li class="fc_cl_70">30</li>              <li class="fc_cl_90">8</li>              <li class="fc_cl_90">11</li>              </ul>
+
+            </div>
+
+          </div>
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>ISS Passover</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 04:35:11 (ENE - 39&deg;) <br /><strong>Max:</strong> 04:35:11 (NE - 39&deg;) <br /><strong>End:</strong> 04:37:21 (ENE - 10&deg;) <br /><strong>Magnitude:</strong> -1.9<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 06:08:03 (WNW - 13&deg;) <br /><strong>Max:</strong> 06:10:53 (N - 72&deg;) <br /><strong>End:</strong> 06:14:13 (E - 10&deg;) <br /><strong>Magnitude:</strong> -3.3<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Visibility (miles)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Fog (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_bad">34</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_good">4</li>              <li class="fc_good">0</li>              <li class="fc_good">1</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Type</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Probability (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Amount (mm)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row fc_detail_row_tall">
+
+            <span class="fc_detail_label"><span>Wind Speed/Direction (mph)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li title="7mph from the East (82&deg;)" class="fc_wind east fc_good"><span>7</span></li>
+              <li title="6mph from the East (84&deg;)" class="fc_wind east fc_good"><span>6</span></li>
+              <li title="4mph from the East (85&deg;)" class="fc_wind east fc_good"><span>4</span></li>
+              <li title="4mph from the East (80&deg;)" class="fc_wind east fc_good"><span>4</span></li>
+              <li title="4mph from the East-North-East (78&deg;)" class="fc_wind east-north-east fc_good"><span>4</span></li>
+              <li title="4mph from the East-North-East (74&deg;)" class="fc_wind east-north-east fc_good"><span>4</span></li>
+              <li title="4mph from the East (83&deg;)" class="fc_wind east fc_good"><span>4</span></li>
+              <li title="4mph from the East (95&deg;)" class="fc_wind east fc_good"><span>4</span></li>
+              <li title="3mph from the East (94&deg;)" class="fc_wind east fc_good"><span>3</span></li>
+              <li title="3mph from the East (84&deg;)" class="fc_wind east fc_good"><span>3</span></li>
+              <li title="3mph from the East-North-East (69&deg;)" class="fc_wind east-north-east fc_good"><span>3</span></li>
+              <li title="2mph from the East (94&deg;)" class="fc_wind east fc_good"><span>2</span></li>
+              <li title="1mph from the East (91&deg;)" class="fc_wind east fc_good"><span>1</span></li>
+              <li title="1mph from the South-South-East (165&deg;)" class="fc_wind south-south-east fc_good"><span>1</span></li>
+              <li title="1mph from the West (278&deg;)" class="fc_wind west fc_good"><span>1</span></li>
+              <li title="2mph from the South-West (234&deg;)" class="fc_wind south-west fc_good"><span>2</span></li>
+              <li title="2mph from the West-South-West (244&deg;)" class="fc_wind west-south-west fc_good"><span>2</span></li>
+              <li title="2mph from the South-West (226&deg;)" class="fc_wind south-west fc_good"><span>2</span></li>
+              <li title="4mph from the West (260&deg;)" class="fc_wind west fc_good"><span>4</span></li>
+              <li title="5mph from the West (277&deg;)" class="fc_wind west fc_good"><span>5</span></li>
+              <li title="6mph from the West-North-West (290&deg;)" class="fc_wind west-north-west fc_good"><span>6</span></li>
+              <li title="6mph from the North-West (310&deg;)" class="fc_wind north-west fc_good"><span>6</span></li>
+              <li title="5mph from the North-West (313&deg;)" class="fc_wind north-west fc_good"><span>5</span></li>
+              <li title="5mph from the North-West (312&deg;)" class="fc_wind north-west fc_good"><span>5</span></li>
+              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Chance of Frost</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Temperature (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">14</li>              <li class="fc_good">14</li>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              <li class="fc_good">13</li>              <li class="fc_good">14</li>              <li class="fc_good">15</li>              <li class="fc_ok">16</li>              <li class="fc_ok">16</li>              <li class="fc_ok">16</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Feels Like (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">12</li>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">11</li>              <li class="fc_good">12</li>              <li class="fc_good">13</li>              <li class="fc_good">14</li>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              <li class="fc_ok">17</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Dew Point (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">6</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_ok">8</li>              <li class="fc_ok">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">9</li>              <li class="fc_bad">9</li>              <li class="fc_bad">9</li>              <li class="fc_bad">9</li>              <li class="fc_ok">9</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Relative Humidity (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">59</li>              <li class="fc_good">68</li>              <li class="fc_good">75</li>              <li class="fc_ok">81</li>              <li class="fc_ok">84</li>              <li class="fc_ok">85</li>              <li class="fc_ok">85</li>              <li class="fc_bad">91</li>              <li class="fc_bad">91</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">95</li>              <li class="fc_bad">95</li>              <li class="fc_bad">93</li>              <li class="fc_ok">87</li>              <li class="fc_ok">81</li>              <li class="fc_good">76</li>              <li class="fc_good">70</li>              <li class="fc_good">66</li>              <li class="fc_good">66</li>              <li class="fc_good">69</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Pressure (mb)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1018</li>              <li class="fc_none">1019</li>              <li class="fc_none">1019</li>              <li class="fc_none">1020</li>              <li class="fc_none">1021</li>              <li class="fc_none">1021</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Ozone (du)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">267</li>              <li class="fc_none">266</li>              <li class="fc_none">264</li>              <li class="fc_none">265</li>              <li class="fc_none">263</li>              <li class="fc_none">261</li>              <li class="fc_none">260</li>              <li class="fc_none">260</li>              <li class="fc_none">260</li>              <li class="fc_none">261</li>              <li class="fc_none">262</li>              <li class="fc_none">260</li>              <li class="fc_none">260</li>              <li class="fc_none">260</li>              <li class="fc_none">259</li>              <li class="fc_none">258</li>              <li class="fc_none">258</li>              <li class="fc_none">256</li>              <li class="fc_none">255</li>              <li class="fc_none">257</li>              <li class="fc_none">259</li>              <li class="fc_none">260</li>              <li class="fc_none">262</li>              <li class="fc_none">263</li>              </ul>
+
+            </div>
+
+          </div>
+
+
+
+		</div>
+
+	</div>
+
+      <div class="fc_day" id="day_1">
+
+        <div class="fc_day_date" title="Show Detailed Forecast"><span>Sunday</span> 27</div>
+
+        <div class="fc_moon" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Time:</strong> 09:17 28/10/2024 <br /> <strong>Altitude:</strong> 44.7&deg; <br /> <strong>Distance:</strong> 251,686 miles <br /> <strong>Rise:</strong> 02:34 28/10/2024 <br /> <strong>Set:</strong> 15:33 27/10/2024" data-title="Moon Meridian Details">
+
+          <div class="fc_moon_phase_image moon_phase_-20" title="Waning Crescent"></div>
+
+          <span class="fc_moon_phase">Waning Crescent</span>
+
+          <span class="fc_moon_percentage">15%</span>
+
+          <span class="fc_moon_riseset"><img src="https://clearoutside.com/public/images/rise_icon.png" alt="Moon Rise" height="8px" width="8px" /> 02:34 <img src="https://clearoutside.com/public/images/set_icon.png" alt="Moon Set" height="8px" width="8px" />  15:33</span>
+
+        </div>
+
+        <div class="fc_hours fc_hour_ratings">
+
+          <ul>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 16 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 17 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 18 <span>Bad</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 19 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 20 <span>OK</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 21 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 22 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 23 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 00 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 01 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 02 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 03 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 04 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 05 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 06 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 07 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 08 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 09 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 10 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 11 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 12 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 13 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 14 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 15 <span>Bad</span></li>
+          </ul>
+
+          <div class="fc_daylight" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Sunrise:</strong> 07:04 &nbsp; &nbsp; &nbsp;&nbsp; <strong>Sunset:</strong> 17:04 <br /> <strong>Sun Transit:</strong> 12:03 <br /> <strong>Civil Dark:</strong> 17:38 - 06:31 <br /> <strong>Nautical Dark:</strong> 18:15 - 05:53 <br /> <strong>Astro Dark:</strong> 18:53 - 05:15" data-title="Sun Rise/Set Details"><div class="fc_moonlight"></div><span>Sun - Rise: 07:04, Set: 17:04, Transit: 12:03.  Moon - Rise: 02:34, Set: 15:33. Civil Dark: 17:38 - 06:31. Nautical Dark: 18:15 - 05:53. <strong>Astro Dark: 18:53 - 05:15</strong></span></div>
+
+        </div>
+
+        <div class="fc_detail hidden-xs">
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Total Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_45">54</li>              <li class="fc_cl_40">58</li>              <li class="fc_cl_35">63</li>              <li class="fc_cl_55">45</li>              <li class="fc_cl_80">21</li>              <li class="fc_cl_50">50</li>              <li class="fc_cl_35">63</li>              <li class="fc_cl_40">58</li>              <li class="fc_cl_35">63</li>              <li class="fc_cl_40">62</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_25">76</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_40">59</li>              <li class="fc_cl_30">72</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">63</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Low Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_55">43</li>              <li class="fc_cl_60">40</li>              <li class="fc_cl_70">31</li>              <li class="fc_cl_90">10</li>              <li class="fc_cl_85">13</li>              <li class="fc_cl_50">50</li>              <li class="fc_cl_45">57</li>              <li class="fc_cl_50">48</li>              <li class="fc_cl_35">63</li>              <li class="fc_cl_40">62</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_40">59</li>              <li class="fc_cl_30">72</li>              <li class="fc_cl_55">47</li>              <li class="fc_cl_65">33</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Medium Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_90">10</li>              <li class="fc_cl_65">33</li>              <li class="fc_cl_60">41</li>              <li class="fc_cl_75">25</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_95">6</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_90">12</li>              <li class="fc_cl_80">22</li>              <li class="fc_cl_75">25</li>              <li class="fc_cl_75">24</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_80">18</li>              <li class="fc_cl_85">16</li>              <li class="fc_cl_75">24</li>              <li class="fc_cl_75">27</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>High Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_90">12</li>              <li class="fc_cl_95">5</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_85">17</li>              <li class="fc_cl_65">35</li>              <li class="fc_cl_80">18</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_75">26</li>              <li class="fc_cl_25">77</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_10">88</li>              <li class="fc_cl_45">54</li>              <li class="fc_cl_65">36</li>              <li class="fc_cl_65">35</li>              <li class="fc_cl_70">30</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_75">24</li>              <li class="fc_cl_50">48</li>              </ul>
+
+            </div>
+
+          </div>
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>ISS Passover</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 03:48:32 (ENE - 11&deg;) <br /><strong>Max:</strong> 03:48:32 (N - 11&deg;) <br /><strong>End:</strong> 03:48:32 (ENE - 11&deg;) <br /><strong>Magnitude:</strong> 0.3<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 05:21:24 (NW - 47&deg;) <br /><strong>Max:</strong> 05:22:04 (N - 64&deg;) <br /><strong>End:</strong> 05:25:24 (E - 10&deg;) <br /><strong>Magnitude:</strong> -3.2<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Visibility (miles)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Fog (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_ok">7</li>              <li class="fc_bad">38</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Type</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Probability (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">1</li>              <li class="fc_good">1</li>              <li class="fc_good">2</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Amount (mm)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row fc_detail_row_tall">
+
+            <span class="fc_detail_label"><span>Wind Speed/Direction (mph)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li title="4mph from the West-North-West (298&deg;)" class="fc_wind west-north-west fc_good"><span>4</span></li>
+              <li title="4mph from the West-North-West (290&deg;)" class="fc_wind west-north-west fc_good"><span>4</span></li>
+              <li title="4mph from the West-North-West (296&deg;)" class="fc_wind west-north-west fc_good"><span>4</span></li>
+              <li title="3mph from the West-North-West (303&deg;)" class="fc_wind west-north-west fc_good"><span>3</span></li>
+              <li title="2mph from the West-North-West (295&deg;)" class="fc_wind west-north-west fc_good"><span>2</span></li>
+              <li title="1mph from the West (279&deg;)" class="fc_wind west fc_good"><span>1</span></li>
+              <li title="1mph from the West-South-West (239&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="3mph from the South-South-West (195&deg;)" class="fc_wind south-south-west fc_good"><span>3</span></li>
+              <li title="2mph from the South-South-West (203&deg;)" class="fc_wind south-south-west fc_good"><span>2</span></li>
+              <li title="2mph from the South-South-West (210&deg;)" class="fc_wind south-south-west fc_good"><span>2</span></li>
+              <li title="2mph from the South-South-West (210&deg;)" class="fc_wind south-south-west fc_good"><span>2</span></li>
+              <li title="2mph from the South (175&deg;)" class="fc_wind south fc_good"><span>2</span></li>
+              <li title="2mph from the South (184&deg;)" class="fc_wind south fc_good"><span>2</span></li>
+              <li title="2mph from the South-South-East (168&deg;)" class="fc_wind south-south-east fc_good"><span>2</span></li>
+              <li title="2mph from the South (181&deg;)" class="fc_wind south fc_good"><span>2</span></li>
+              <li title="2mph from the South (181&deg;)" class="fc_wind south fc_good"><span>2</span></li>
+              <li title="2mph from the South (183&deg;)" class="fc_wind south fc_good"><span>2</span></li>
+              <li title="3mph from the South-South-West (202&deg;)" class="fc_wind south-south-west fc_good"><span>3</span></li>
+              <li title="3mph from the South-West (222&deg;)" class="fc_wind south-west fc_good"><span>3</span></li>
+              <li title="4mph from the South-West (234&deg;)" class="fc_wind south-west fc_good"><span>4</span></li>
+              <li title="4mph from the West-South-West (245&deg;)" class="fc_wind west-south-west fc_good"><span>4</span></li>
+              <li title="5mph from the West-South-West (248&deg;)" class="fc_wind west-south-west fc_good"><span>5</span></li>
+              <li title="6mph from the West-South-West (258&deg;)" class="fc_wind west-south-west fc_good"><span>6</span></li>
+              <li title="5mph from the West (266&deg;)" class="fc_wind west fc_good"><span>5</span></li>
+              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Chance of Frost</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Temperature (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_ok">16</li>              <li class="fc_good">15</li>              <li class="fc_good">13</li>              <li class="fc_good">13</li>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              <li class="fc_good">12</li>              <li class="fc_good">13</li>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Feels Like (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_ok">17</li>              <li class="fc_good">15</li>              <li class="fc_good">14</li>              <li class="fc_good">13</li>              <li class="fc_good">13</li>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">12</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">11</li>              <li class="fc_good">13</li>              <li class="fc_good">14</li>              <li class="fc_good">15</li>              <li class="fc_good">14</li>              <li class="fc_good">15</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Dew Point (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">12</li>              <li class="fc_good">12</li>              <li class="fc_ok">12</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_ok">9</li>              <li class="fc_ok">9</li>              <li class="fc_ok">8</li>              <li class="fc_ok">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">9</li>              <li class="fc_ok">8</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Relative Humidity (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">77</li>              <li class="fc_ok">86</li>              <li class="fc_ok">89</li>              <li class="fc_ok">86</li>              <li class="fc_ok">86</li>              <li class="fc_ok">84</li>              <li class="fc_ok">84</li>              <li class="fc_ok">86</li>              <li class="fc_ok">90</li>              <li class="fc_bad">91</li>              <li class="fc_bad">91</li>              <li class="fc_bad">91</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_ok">87</li>              <li class="fc_good">78</li>              <li class="fc_good">73</li>              <li class="fc_good">70</li>              <li class="fc_good">68</li>              <li class="fc_good">66</li>              <li class="fc_good">68</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Pressure (mb)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">1023</li>              <li class="fc_none">1023</li>              <li class="fc_none">1024</li>              <li class="fc_none">1025</li>              <li class="fc_none">1025</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1025</li>              <li class="fc_none">1025</li>              <li class="fc_none">1025</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Ozone (du)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">264</li>              <li class="fc_none">264</li>              <li class="fc_none">264</li>              <li class="fc_none">264</li>              <li class="fc_none">264</li>              <li class="fc_none">265</li>              <li class="fc_none">264</li>              <li class="fc_none">263</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              <li class="fc_none">263</li>              <li class="fc_none">265</li>              <li class="fc_none">269</li>              <li class="fc_none">276</li>              <li class="fc_none">270</li>              <li class="fc_none">269</li>              <li class="fc_none">273</li>              <li class="fc_none">273</li>              <li class="fc_none">274</li>              <li class="fc_none">280</li>              <li class="fc_none">283</li>              <li class="fc_none">285</li>              <li class="fc_none">287</li>              <li class="fc_none">288</li>              </ul>
+
+            </div>
+
+          </div>
+
+
+
+		</div>
+
+	</div>
+
+      <div class="fc_day" id="day_2">
+
+        <div class="fc_day_date" title="Show Detailed Forecast"><span>Monday</span> 28</div>
+
+        <div class="fc_moon" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Time:</strong> 09:55 29/10/2024 <br /> <strong>Altitude:</strong> 38.8&deg; <br /> <strong>Distance:</strong> 252,292 miles <br /> <strong>Rise:</strong> 03:42 29/10/2024 <br /> <strong>Set:</strong> 15:55 29/10/2024" data-title="Moon Meridian Details">
+
+          <div class="fc_moon_phase_image moon_phase_-10" title="Waning Crescent"></div>
+
+          <span class="fc_moon_phase">Waning Crescent</span>
+
+          <span class="fc_moon_percentage">9%</span>
+
+          <span class="fc_moon_riseset"><img src="https://clearoutside.com/public/images/rise_icon.png" alt="Moon Rise" height="8px" width="8px" /> 03:42 <img src="https://clearoutside.com/public/images/set_icon.png" alt="Moon Set" height="8px" width="8px" />  15:55</span>
+
+        </div>
+
+        <div class="fc_hours fc_hour_ratings">
+
+          <ul>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 16 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 17 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 18 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 19 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 20 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 21 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 22 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 23 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 00 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 01 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 02 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 03 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 04 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 05 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 06 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 07 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 08 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 09 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 10 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 11 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 12 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 13 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 14 <span>Bad</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 15 <span>OK</span></li>
+          </ul>
+
+          <div class="fc_daylight" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Sunrise:</strong> 07:06 &nbsp; &nbsp; &nbsp;&nbsp; <strong>Sunset:</strong> 17:02 <br /> <strong>Sun Transit:</strong> 12:03 <br /> <strong>Civil Dark:</strong> 17:36 - 06:32 <br /> <strong>Nautical Dark:</strong> 18:14 - 05:54 <br /> <strong>Astro Dark:</strong> 18:51 - 05:17" data-title="Sun Rise/Set Details"><div class="fc_moonlight"></div><span>Sun - Rise: 07:06, Set: 17:02, Transit: 12:03.  Moon - Rise: 03:42, Set: 15:55. Civil Dark: 17:36 - 06:32. Nautical Dark: 18:14 - 05:54. <strong>Astro Dark: 18:51 - 05:17</strong></span></div>
+
+        </div>
+
+        <div class="fc_detail hidden-xs">
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Total Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_20">78</li>              <li class="fc_cl_35">64</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_5">95</li>              <li class="fc_cl_0">99</li>              <li class="fc_cl_5">96</li>              <li class="fc_cl_15">83</li>              <li class="fc_cl_10">91</li>              <li class="fc_cl_5">97</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">98</li>              <li class="fc_cl_5">97</li>              <li class="fc_cl_5">93</li>              <li class="fc_cl_5">95</li>              <li class="fc_cl_10">91</li>              <li class="fc_cl_25">77</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">66</li>              <li class="fc_cl_40">58</li>              <li class="fc_cl_50">51</li>              <li class="fc_cl_60">41</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Low Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_75">23</li>              <li class="fc_cl_95">4</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_50">52</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_45">57</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_30">69</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_40">61</li>              <li class="fc_cl_45">53</li>              <li class="fc_cl_45">54</li>              <li class="fc_cl_50">49</li>              <li class="fc_cl_55">46</li>              <li class="fc_cl_60">40</li>              <li class="fc_cl_65">34</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Medium Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_60">40</li>              <li class="fc_cl_90">9</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_50">50</li>              <li class="fc_cl_50">52</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_60">42</li>              <li class="fc_cl_40">59</li>              <li class="fc_cl_15">85</li>              <li class="fc_cl_30">69</li>              <li class="fc_cl_30">71</li>              <li class="fc_cl_30">72</li>              <li class="fc_cl_25">73</li>              <li class="fc_cl_25">77</li>              <li class="fc_cl_30">71</li>              <li class="fc_cl_70">31</li>              <li class="fc_cl_95">6</li>              <li class="fc_cl_85">14</li>              <li class="fc_cl_85">13</li>              <li class="fc_cl_90">10</li>              <li class="fc_cl_90">8</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>High Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_40">59</li>              <li class="fc_cl_40">61</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_15">83</li>              <li class="fc_cl_0">99</li>              <li class="fc_cl_5">96</li>              <li class="fc_cl_15">83</li>              <li class="fc_cl_30">72</li>              <li class="fc_cl_35">67</li>              <li class="fc_cl_5">96</li>              <li class="fc_cl_65">33</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_95">5</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              </ul>
+
+            </div>
+
+          </div>
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>ISS Passover</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 04:34:34 (ENE - 33&deg;) <br /><strong>Max:</strong> 04:34:34 (NNE - 33&deg;) <br /><strong>End:</strong> 04:36:34 (E - 10&deg;) <br /><strong>Magnitude:</strong> -1.6<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 06:07:23 (WNW - 14&deg;) <br /><strong>Max:</strong> 06:10:03 (SW - 78&deg;) <br /><strong>End:</strong> 06:13:23 (ESE - 10&deg;) <br /><strong>Magnitude:</strong> -3.4<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Visibility (miles)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Fog (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_bad">37</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">98</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Type</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Probability (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">1</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">1</li>              <li class="fc_good">1</li>              <li class="fc_good">1</li>              <li class="fc_good">1</li>              <li class="fc_good">1</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Amount (mm)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row fc_detail_row_tall">
+
+            <span class="fc_detail_label"><span>Wind Speed/Direction (mph)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li title="6mph from the West (276&deg;)" class="fc_wind west fc_good"><span>6</span></li>
+              <li title="4mph from the West (271&deg;)" class="fc_wind west fc_good"><span>4</span></li>
+              <li title="3mph from the West-South-West (249&deg;)" class="fc_wind west-south-west fc_good"><span>3</span></li>
+              <li title="3mph from the West-South-West (238&deg;)" class="fc_wind west-south-west fc_good"><span>3</span></li>
+              <li title="3mph from the West-South-West (246&deg;)" class="fc_wind west-south-west fc_good"><span>3</span></li>
+              <li title="3mph from the West-South-West (248&deg;)" class="fc_wind west-south-west fc_good"><span>3</span></li>
+              <li title="3mph from the West-South-West (255&deg;)" class="fc_wind west-south-west fc_good"><span>3</span></li>
+              <li title="3mph from the West (264&deg;)" class="fc_wind west fc_good"><span>3</span></li>
+              <li title="2mph from the West (271&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="2mph from the West (268&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="2mph from the West (276&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="2mph from the West (278&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="2mph from the West (278&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="2mph from the West (264&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="1mph from the West-South-West (244&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="1mph from the West-South-West (248&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="1mph from the West-South-West (250&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="1mph from the West (262&deg;)" class="fc_wind west fc_good"><span>1</span></li>
+              <li title="1mph from the West-South-West (250&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="2mph from the West-South-West (242&deg;)" class="fc_wind west-south-west fc_good"><span>2</span></li>
+              <li title="3mph from the West-South-West (243&deg;)" class="fc_wind west-south-west fc_good"><span>3</span></li>
+              <li title="3mph from the West (260&deg;)" class="fc_wind west fc_good"><span>3</span></li>
+              <li title="2mph from the West (276&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="2mph from the West-North-West (296&deg;)" class="fc_wind west-north-west fc_good"><span>2</span></li>
+              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Chance of Frost</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Temperature (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">15</li>              <li class="fc_good">14</li>              <li class="fc_good">12</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              <li class="fc_good">13</li>              <li class="fc_good">14</li>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Feels Like (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">14</li>              <li class="fc_good">12</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">12</li>              <li class="fc_good">14</li>              <li class="fc_good">15</li>              <li class="fc_ok">16</li>              <li class="fc_ok">16</li>              <li class="fc_ok">16</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Dew Point (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              <li class="fc_ok">10</li>              <li class="fc_ok">10</li>              <li class="fc_ok">10</li>              <li class="fc_ok">9</li>              <li class="fc_ok">9</li>              <li class="fc_ok">9</li>              <li class="fc_ok">9</li>              <li class="fc_ok">9</li>              <li class="fc_bad">9</li>              <li class="fc_bad">8</li>              <li class="fc_ok">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">8</li>              <li class="fc_bad">9</li>              <li class="fc_ok">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Relative Humidity (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">74</li>              <li class="fc_ok">83</li>              <li class="fc_ok">87</li>              <li class="fc_ok">89</li>              <li class="fc_bad">92</li>              <li class="fc_ok">90</li>              <li class="fc_ok">90</li>              <li class="fc_ok">90</li>              <li class="fc_ok">90</li>              <li class="fc_bad">91</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">91</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_bad">93</li>              <li class="fc_ok">87</li>              <li class="fc_ok">81</li>              <li class="fc_good">75</li>              <li class="fc_good">70</li>              <li class="fc_good">66</li>              <li class="fc_good">63</li>              <li class="fc_good">61</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Pressure (mb)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">1025</li>              <li class="fc_none">1025</li>              <li class="fc_none">1025</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1026</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Ozone (du)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">286</li>              <li class="fc_none">284</li>              <li class="fc_none">284</li>              <li class="fc_none">283</li>              <li class="fc_none">279</li>              <li class="fc_none">279</li>              <li class="fc_none">280</li>              <li class="fc_none">282</li>              <li class="fc_none">281</li>              <li class="fc_none">278</li>              <li class="fc_none">277</li>              <li class="fc_none">275</li>              <li class="fc_none">276</li>              <li class="fc_none">277</li>              <li class="fc_none">279</li>              <li class="fc_none">281</li>              <li class="fc_none">281</li>              <li class="fc_none">282</li>              <li class="fc_none">282</li>              <li class="fc_none">283</li>              <li class="fc_none">282</li>              <li class="fc_none">281</li>              <li class="fc_none">281</li>              <li class="fc_none">280</li>              </ul>
+
+            </div>
+
+          </div>
+
+
+
+		</div>
+
+	</div>
+
+      <div class="fc_day" id="day_3">
+
+        <div class="fc_day_date" title="Show Detailed Forecast"><span>Tuesday</span> 29</div>
+
+        <div class="fc_moon" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Time:</strong> 10:34 30/10/2024 <br /> <strong>Altitude:</strong> 33&deg; <br /> <strong>Distance:</strong> 252,328 miles <br /> <strong>Rise:</strong> 04:49 30/10/2024 <br /> <strong>Set:</strong> 16:06 30/10/2024" data-title="Moon Meridian Details">
+
+          <div class="fc_moon_phase_image moon_phase_-0" title="Waning Crescent"></div>
+
+          <span class="fc_moon_phase">Waning Crescent</span>
+
+          <span class="fc_moon_percentage">4%</span>
+
+          <span class="fc_moon_riseset"><img src="https://clearoutside.com/public/images/rise_icon.png" alt="Moon Rise" height="8px" width="8px" /> 04:49 <img src="https://clearoutside.com/public/images/set_icon.png" alt="Moon Set" height="8px" width="8px" />  16:06</span>
+
+        </div>
+
+        <div class="fc_hours fc_hour_ratings">
+
+          <ul>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 16 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 17 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 18 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 19 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 20 <span>OK</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 21 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 22 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 23 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 00 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 01 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 02 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 03 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 04 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 05 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 06 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 07 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 08 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 09 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 10 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 11 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 12 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 13 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 14 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 15 <span>Bad</span></li>
+          </ul>
+
+          <div class="fc_daylight" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Sunrise:</strong> 07:07 &nbsp; &nbsp; &nbsp;&nbsp; <strong>Sunset:</strong> 17:01 <br /> <strong>Sun Transit:</strong> 12:03 <br /> <strong>Civil Dark:</strong> 17:34 - 06:34 <br /> <strong>Nautical Dark:</strong> 18:12 - 05:56 <br /> <strong>Astro Dark:</strong> 18:50 - 05:18" data-title="Sun Rise/Set Details"><div class="fc_moonlight"></div><span>Sun - Rise: 07:07, Set: 17:01, Transit: 12:03.  Moon - Rise: 04:49, Set: 16:06. Civil Dark: 17:34 - 06:34. Nautical Dark: 18:12 - 05:56. <strong>Astro Dark: 18:50 - 05:18</strong></span></div>
+
+        </div>
+
+        <div class="fc_detail hidden-xs">
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Total Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_65">35</li>              <li class="fc_cl_70">28</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_70">32</li>              <li class="fc_cl_55">43</li>              <li class="fc_cl_50">51</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_30">71</li>              <li class="fc_cl_35">66</li>              <li class="fc_cl_35">67</li>              <li class="fc_cl_25">76</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_20">81</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Low Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_80">22</li>              <li class="fc_cl_90">12</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_85">15</li>              <li class="fc_cl_70">30</li>              <li class="fc_cl_55">47</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">56</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_30">71</li>              <li class="fc_cl_35">66</li>              <li class="fc_cl_35">67</li>              <li class="fc_cl_25">76</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_20">81</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Medium Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_90">12</li>              <li class="fc_cl_85">16</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_80">18</li>              <li class="fc_cl_85">14</li>              <li class="fc_cl_90">9</li>              <li class="fc_cl_90">9</li>              <li class="fc_cl_90">10</li>              <li class="fc_cl_90">10</li>              <li class="fc_cl_95">7</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>High Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">2</li>              </ul>
+
+            </div>
+
+          </div>
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>ISS Passover</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 03:47:43 (ENE - 10&deg;) <br /><strong>Max:</strong> 03:47:43 (N - 10&deg;) <br /><strong>End:</strong> 03:47:43 (ENE - 10&deg;) <br /><strong>Magnitude:</strong> 0.3<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 05:20:45 (WNW - 57&deg;) <br /><strong>Max:</strong> 05:21:25 (NE - 81&deg;) <br /><strong>End:</strong> 05:24:35 (ESE - 10&deg;) <br /><strong>Magnitude:</strong> -3.4<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Visibility (miles)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Fog (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Type</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Probability (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Amount (mm)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row fc_detail_row_tall">
+
+            <span class="fc_detail_label"><span>Wind Speed/Direction (mph)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li title="1mph from the North-East (44&deg;)" class="fc_wind north-east fc_good"><span>1</span></li>
+              <li title="1mph from the East-North-East (72&deg;)" class="fc_wind east-north-east fc_good"><span>1</span></li>
+              <li title="1mph from the North-East (44&deg;)" class="fc_wind north-east fc_good"><span>1</span></li>
+              <li title="1mph from the North (10&deg;)" class="fc_wind north fc_good"><span>1</span></li>
+              <li title="1mph from the North-North-East (30&deg;)" class="fc_wind north-north-east fc_good"><span>1</span></li>
+              <li title="2mph from the North-North-East (14&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (19&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (18&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (25&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (28&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (21&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (30&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="1mph from the North-East (35&deg;)" class="fc_wind north-east fc_good"><span>1</span></li>
+              <li title="2mph from the North-North-East (20&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (24&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (23&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="2mph from the North-East (39&deg;)" class="fc_wind north-east fc_good"><span>2</span></li>
+              <li title="1mph from the East (91&deg;)" class="fc_wind east fc_good"><span>1</span></li>
+              <li title="2mph from the East (91&deg;)" class="fc_wind east fc_good"><span>2</span></li>
+              <li title="1mph from the East (82&deg;)" class="fc_wind east fc_good"><span>1</span></li>
+              <li title="1mph from the East-South-East (104&deg;)" class="fc_wind east-south-east fc_good"><span>1</span></li>
+              <li title="0mph from the East (98&deg;)" class="fc_wind east fc_good"><span>0</span></li>
+              <li title="1mph from the North-East (36&deg;)" class="fc_wind north-east fc_good"><span>1</span></li>
+              <li title="1mph from the North-East (55&deg;)" class="fc_wind north-east fc_good"><span>1</span></li>
+              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Chance of Frost</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Temperature (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">15</li>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">12</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Feels Like (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_ok">16</li>              <li class="fc_good">15</li>              <li class="fc_good">14</li>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              <li class="fc_good">12</li>              <li class="fc_good">13</li>              <li class="fc_good">13</li>              <li class="fc_good">13</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Dew Point (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_ok">5</li>              <li class="fc_ok">5</li>              <li class="fc_ok">5</li>              <li class="fc_ok">5</li>              <li class="fc_ok">5</li>              <li class="fc_ok">5</li>              <li class="fc_good">5</li>              <li class="fc_good">4</li>              <li class="fc_good">4</li>              <li class="fc_good">4</li>              <li class="fc_good">4</li>              <li class="fc_good">4</li>              <li class="fc_good">4</li>              <li class="fc_good">4</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Relative Humidity (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">69</li>              <li class="fc_good">75</li>              <li class="fc_good">80</li>              <li class="fc_ok">81</li>              <li class="fc_ok">83</li>              <li class="fc_ok">84</li>              <li class="fc_ok">84</li>              <li class="fc_ok">84</li>              <li class="fc_ok">85</li>              <li class="fc_ok">85</li>              <li class="fc_ok">87</li>              <li class="fc_ok">88</li>              <li class="fc_ok">87</li>              <li class="fc_ok">87</li>              <li class="fc_ok">87</li>              <li class="fc_ok">87</li>              <li class="fc_ok">85</li>              <li class="fc_good">77</li>              <li class="fc_good">70</li>              <li class="fc_good">66</li>              <li class="fc_good">62</li>              <li class="fc_good">60</li>              <li class="fc_good">58</li>              <li class="fc_good">59</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Pressure (mb)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1027</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Ozone (du)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">278</li>              <li class="fc_none">275</li>              <li class="fc_none">274</li>              <li class="fc_none">274</li>              <li class="fc_none">274</li>              <li class="fc_none">273</li>              <li class="fc_none">272</li>              <li class="fc_none">272</li>              <li class="fc_none">270</li>              <li class="fc_none">270</li>              <li class="fc_none">270</li>              <li class="fc_none">269</li>              <li class="fc_none">268</li>              <li class="fc_none">268</li>              <li class="fc_none">269</li>              <li class="fc_none">269</li>              <li class="fc_none">269</li>              <li class="fc_none">271</li>              <li class="fc_none">272</li>              <li class="fc_none">272</li>              <li class="fc_none">271</li>              <li class="fc_none">270</li>              <li class="fc_none">270</li>              <li class="fc_none">270</li>              </ul>
+
+            </div>
+
+          </div>
+
+
+
+		</div>
+
+	</div>
+
+      <div class="fc_day" id="day_4">
+
+        <div class="fc_day_date" title="Show Detailed Forecast"><span>Wednesday</span> 30</div>
+
+        <div class="fc_moon" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Time:</strong> 11:14 31/10/2024 <br /> <strong>Altitude:</strong> 27.4&deg; <br /> <strong>Distance:</strong> 251,877 miles <br /> <strong>Rise:</strong> 05:58 31/10/2024 <br /> <strong>Set:</strong> 16:06 30/10/2024" data-title="Moon Meridian Details">
+
+          <div class="fc_moon_phase_image moon_phase_-0" title="Waning Crescent"></div>
+
+          <span class="fc_moon_phase">Waning Crescent</span>
+
+          <span class="fc_moon_percentage">1%</span>
+
+          <span class="fc_moon_riseset"><img src="https://clearoutside.com/public/images/rise_icon.png" alt="Moon Rise" height="8px" width="8px" /> 05:58 <img src="https://clearoutside.com/public/images/set_icon.png" alt="Moon Set" height="8px" width="8px" />  16:06</span>
+
+        </div>
+
+        <div class="fc_hours fc_hour_ratings">
+
+          <ul>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 16 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 17 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 18 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 19 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 20 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 21 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 22 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 23 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 00 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 01 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 02 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 03 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 04 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 05 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 06 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 07 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 08 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 09 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 10 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 11 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 12 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 13 <span>Bad</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 14 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 15 <span>OK</span></li>
+          </ul>
+
+          <div class="fc_daylight" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Sunrise:</strong> 07:09 &nbsp; &nbsp; &nbsp;&nbsp; <strong>Sunset:</strong> 16:59 <br /> <strong>Sun Transit:</strong> 12:03 <br /> <strong>Civil Dark:</strong> 17:32 - 06:35 <br /> <strong>Nautical Dark:</strong> 18:11 - 05:57 <br /> <strong>Astro Dark:</strong> 18:48 - 05:20" data-title="Sun Rise/Set Details"><div class="fc_moonlight"></div><span>Sun - Rise: 07:09, Set: 16:59, Transit: 12:03.  Moon - Rise: 05:58, Set: 16:06. Civil Dark: 17:32 - 06:35. Nautical Dark: 18:11 - 05:57. <strong>Astro Dark: 18:48 - 05:20</strong></span></div>
+
+        </div>
+
+        <div class="fc_detail hidden-xs">
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Total Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_15">86</li>              <li class="fc_cl_15">85</li>              <li class="fc_cl_15">85</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_15">86</li>              <li class="fc_cl_15">87</li>              <li class="fc_cl_25">77</li>              <li class="fc_cl_20">82</li>              <li class="fc_cl_25">77</li>              <li class="fc_cl_20">78</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_10">91</li>              <li class="fc_cl_5">94</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_5">97</li>              <li class="fc_cl_10">91</li>              <li class="fc_cl_15">83</li>              <li class="fc_cl_20">79</li>              <li class="fc_cl_25">74</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_45">57</li>              <li class="fc_cl_60">42</li>              <li class="fc_cl_70">29</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Low Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_15">85</li>              <li class="fc_cl_15">85</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_30">69</li>              <li class="fc_cl_35">67</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_30">72</li>              <li class="fc_cl_25">73</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_45">54</li>              <li class="fc_cl_55">44</li>              <li class="fc_cl_70">31</li>              <li class="fc_cl_80">18</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Medium Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_40">61</li>              <li class="fc_cl_30">68</li>              <li class="fc_cl_30">71</li>              <li class="fc_cl_60">42</li>              <li class="fc_cl_80">19</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>High Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_100">2</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_90">12</li>              <li class="fc_cl_90">11</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_95">7</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_95">4</li>              <li class="fc_cl_90">12</li>              <li class="fc_cl_85">14</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_90">12</li>              <li class="fc_cl_80">19</li>              <li class="fc_cl_75">26</li>              <li class="fc_cl_80">18</li>              <li class="fc_cl_90">9</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_95">6</li>              <li class="fc_cl_90">10</li>              <li class="fc_cl_85">16</li>              </ul>
+
+            </div>
+
+          </div>
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>ISS Passover</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 04:33:55 (E - 31&deg;) <br /><strong>Max:</strong> 04:33:55 (NNE - 31&deg;) <br /><strong>End:</strong> 04:35:45 (E - 10&deg;) <br /><strong>Magnitude:</strong> -1.4<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 06:06:50 (W - 16&deg;) <br /><strong>Max:</strong> 06:09:10 (SSW - 43&deg;) <br /><strong>End:</strong> 06:12:10 (SE - 11&deg;) <br /><strong>Magnitude:</strong> -2.7<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Visibility (miles)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Fog (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Type</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Probability (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">1</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Amount (mm)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row fc_detail_row_tall">
+
+            <span class="fc_detail_label"><span>Wind Speed/Direction (mph)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li title="1mph from the East-North-East (63&deg;)" class="fc_wind east-north-east fc_good"><span>1</span></li>
+              <li title="1mph from the North-East (43&deg;)" class="fc_wind north-east fc_good"><span>1</span></li>
+              <li title="1mph from the North-North-East (17&deg;)" class="fc_wind north-north-east fc_good"><span>1</span></li>
+              <li title="2mph from the North (4&deg;)" class="fc_wind north fc_good"><span>2</span></li>
+              <li title="2mph from the North-North-East (12&deg;)" class="fc_wind north-north-east fc_good"><span>2</span></li>
+              <li title="1mph from the North-North-West (343&deg;)" class="fc_wind north-north-west fc_good"><span>1</span></li>
+              <li title="2mph from the North (356&deg;)" class="fc_wind north fc_good"><span>2</span></li>
+              <li title="1mph from the North-North-West (340&deg;)" class="fc_wind north-north-west fc_good"><span>1</span></li>
+              <li title="1mph from the North-West (326&deg;)" class="fc_wind north-west fc_good"><span>1</span></li>
+              <li title="1mph from the North (357&deg;)" class="fc_wind north fc_good"><span>1</span></li>
+              <li title="1mph from the North (4&deg;)" class="fc_wind north fc_good"><span>1</span></li>
+              <li title="1mph from the North (5&deg;)" class="fc_wind north fc_good"><span>1</span></li>
+              <li title="1mph from the West-North-West (298&deg;)" class="fc_wind west-north-west fc_good"><span>1</span></li>
+              <li title="1mph from the North-North-West (334&deg;)" class="fc_wind north-north-west fc_good"><span>1</span></li>
+              <li title="1mph from the East-North-East (58&deg;)" class="fc_wind east-north-east fc_good"><span>1</span></li>
+              <li title="1mph from the North (359&deg;)" class="fc_wind north fc_good"><span>1</span></li>
+              <li title="1mph from the North (358&deg;)" class="fc_wind north fc_good"><span>1</span></li>
+              <li title="0mph from the North (353&deg;)" class="fc_wind north fc_good"><span>0</span></li>
+              <li title="0mph from the North-West (306&deg;)" class="fc_wind north-west fc_good"><span>0</span></li>
+              <li title="1mph from the South (170&deg;)" class="fc_wind south fc_good"><span>1</span></li>
+              <li title="2mph from the South-South-East (166&deg;)" class="fc_wind south-south-east fc_good"><span>2</span></li>
+              <li title="3mph from the South-South-East (165&deg;)" class="fc_wind south-south-east fc_good"><span>3</span></li>
+              <li title="2mph from the South (170&deg;)" class="fc_wind south fc_good"><span>2</span></li>
+              <li title="2mph from the South (175&deg;)" class="fc_wind south fc_good"><span>2</span></li>
+              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Chance of Frost</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Temperature (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              <li class="fc_good">12</li>              <li class="fc_good">13</li>              <li class="fc_good">13</li>              <li class="fc_good">13</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Feels Like (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">7</li>              <li class="fc_good">6</li>              <li class="fc_good">7</li>              <li class="fc_good">6</li>              <li class="fc_good">7</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Dew Point (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">7</li>              <li class="fc_good">6</li>              <li class="fc_good">7</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_ok">7</li>              <li class="fc_good">6</li>              <li class="fc_ok">6</li>              <li class="fc_good">5</li>              <li class="fc_good">5</li>              <li class="fc_good">5</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">8</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Relative Humidity (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">67</li>              <li class="fc_good">71</li>              <li class="fc_good">73</li>              <li class="fc_good">76</li>              <li class="fc_good">77</li>              <li class="fc_good">78</li>              <li class="fc_good">80</li>              <li class="fc_ok">81</li>              <li class="fc_ok">84</li>              <li class="fc_ok">84</li>              <li class="fc_ok">85</li>              <li class="fc_ok">85</li>              <li class="fc_ok">85</li>              <li class="fc_ok">87</li>              <li class="fc_ok">85</li>              <li class="fc_ok">87</li>              <li class="fc_ok">82</li>              <li class="fc_good">77</li>              <li class="fc_good">73</li>              <li class="fc_good">71</li>              <li class="fc_good">66</li>              <li class="fc_good">64</li>              <li class="fc_good">66</li>              <li class="fc_good">69</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Pressure (mb)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1027</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1028</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1026</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Ozone (du)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">269</li>              <li class="fc_none">268</li>              <li class="fc_none">267</li>              <li class="fc_none">267</li>              <li class="fc_none">265</li>              <li class="fc_none">265</li>              <li class="fc_none">266</li>              <li class="fc_none">265</li>              <li class="fc_none">264</li>              <li class="fc_none">264</li>              <li class="fc_none">265</li>              <li class="fc_none">265</li>              <li class="fc_none">264</li>              <li class="fc_none">264</li>              <li class="fc_none">265</li>              <li class="fc_none">266</li>              <li class="fc_none">267</li>              <li class="fc_none">267</li>              <li class="fc_none">268</li>              <li class="fc_none">268</li>              <li class="fc_none">268</li>              <li class="fc_none">268</li>              <li class="fc_none">268</li>              <li class="fc_none">267</li>              </ul>
+
+            </div>
+
+          </div>
+
+
+
+		</div>
+
+	</div>
+
+      <div class="fc_day" id="day_5">
+
+        <div class="fc_day_date" title="Show Detailed Forecast"><span>Thursday</span> 31</div>
+
+        <div class="fc_moon" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Time:</strong> 11:56 01/11/2024 <br /> <strong>Altitude:</strong> 22.2&deg; <br /> <strong>Distance:</strong> 251,008 miles <br /> <strong>Rise:</strong> 07:09 01/11/2024 <br /> <strong>Set:</strong> 16:18 31/10/2024" data-title="Moon Meridian Details">
+
+          <div class="fc_moon_phase_image moon_phase_-0" title="Waning Crescent"></div>
+
+          <span class="fc_moon_phase">Waning Crescent</span>
+
+          <span class="fc_moon_percentage">0%</span>
+
+          <span class="fc_moon_riseset"><img src="https://clearoutside.com/public/images/rise_icon.png" alt="Moon Rise" height="8px" width="8px" /> 07:09 <img src="https://clearoutside.com/public/images/set_icon.png" alt="Moon Set" height="8px" width="8px" />  16:18</span>
+
+        </div>
+
+        <div class="fc_hours fc_hour_ratings">
+
+          <ul>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 16 <span>OK</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 17 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 18 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 19 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 20 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 21 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 22 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 23 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 00 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 01 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 02 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 03 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 04 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 05 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 06 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 07 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 08 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 09 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 10 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 11 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 12 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 13 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 14 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 15 <span>Bad</span></li>
+          </ul>
+
+          <div class="fc_daylight" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Sunrise:</strong> 07:11 &nbsp; &nbsp; &nbsp;&nbsp; <strong>Sunset:</strong> 16:57 <br /> <strong>Sun Transit:</strong> 12:03 <br /> <strong>Civil Dark:</strong> 17:31 - 06:37 <br /> <strong>Nautical Dark:</strong> 18:09 - 05:59 <br /> <strong>Astro Dark:</strong> 18:47 - 05:21" data-title="Sun Rise/Set Details"><div class="fc_moonlight"></div><span>Sun - Rise: 07:11, Set: 16:57, Transit: 12:03.  Moon - Rise: 07:09, Set: 16:18. Civil Dark: 17:31 - 06:37. Nautical Dark: 18:09 - 05:59. <strong>Astro Dark: 18:47 - 05:21</strong></span></div>
+
+        </div>
+
+        <div class="fc_detail hidden-xs">
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Total Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_60">39</li>              <li class="fc_cl_50">52</li>              <li class="fc_cl_35">64</li>              <li class="fc_cl_25">77</li>              <li class="fc_cl_15">87</li>              <li class="fc_cl_5">97</li>              <li class="fc_cl_10">90</li>              <li class="fc_cl_15">85</li>              <li class="fc_cl_15">87</li>              <li class="fc_cl_10">88</li>              <li class="fc_cl_5">93</li>              <li class="fc_cl_5">94</li>              <li class="fc_cl_10">89</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_20">78</li>              <li class="fc_cl_25">77</li>              <li class="fc_cl_20">80</li>              <li class="fc_cl_15">84</li>              <li class="fc_cl_20">82</li>              <li class="fc_cl_20">81</li>              <li class="fc_cl_20">79</li>              <li class="fc_cl_30">71</li>              <li class="fc_cl_40">62</li>              <li class="fc_cl_45">54</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Low Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_75">23</li>              <li class="fc_cl_70">28</li>              <li class="fc_cl_65">33</li>              <li class="fc_cl_55">47</li>              <li class="fc_cl_45">53</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_50">50</li>              <li class="fc_cl_55">45</li>              <li class="fc_cl_55">45</li>              <li class="fc_cl_55">45</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_40">60</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_60">40</li>              <li class="fc_cl_60">38</li>              <li class="fc_cl_60">42</li>              <li class="fc_cl_55">45</li>              <li class="fc_cl_60">42</li>              <li class="fc_cl_55">46</li>              <li class="fc_cl_55">46</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Medium Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>High Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_75">24</li>              <li class="fc_cl_65">35</li>              <li class="fc_cl_50">50</li>              <li class="fc_cl_45">53</li>              <li class="fc_cl_45">57</li>              <li class="fc_cl_45">55</li>              <li class="fc_cl_60">39</li>              <li class="fc_cl_75">23</li>              <li class="fc_cl_95">6</li>              <li class="fc_cl_90">10</li>              <li class="fc_cl_85">13</li>              <li class="fc_cl_85">14</li>              <li class="fc_cl_90">10</li>              <li class="fc_cl_95">7</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_95">6</li>              <li class="fc_cl_90">8</li>              <li class="fc_cl_90">9</li>              <li class="fc_cl_95">5</li>              <li class="fc_cl_95">4</li>              <li class="fc_cl_95">5</li>              <li class="fc_cl_95">6</li>              <li class="fc_cl_95">5</li>              <li class="fc_cl_95">5</li>              </ul>
+
+            </div>
+
+          </div>
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>ISS Passover</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 05:20:10 (SW - 59&deg;) <br /><strong>Max:</strong> 05:20:20 (SSW - 61&deg;) <br /><strong>End:</strong> 05:23:30 (ESE - 11&deg;) <br /><strong>Magnitude:</strong> -3.3<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Visibility (miles)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Fog (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Type</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Probability (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Amount (mm)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row fc_detail_row_tall">
+
+            <span class="fc_detail_label"><span>Wind Speed/Direction (mph)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li title="2mph from the South (180&deg;)" class="fc_wind south fc_good"><span>2</span></li>
+              <li title="2mph from the South-South-West (200&deg;)" class="fc_wind south-south-west fc_good"><span>2</span></li>
+              <li title="1mph from the South-West (226&deg;)" class="fc_wind south-west fc_good"><span>1</span></li>
+              <li title="2mph from the West-South-West (249&deg;)" class="fc_wind west-south-west fc_good"><span>2</span></li>
+              <li title="1mph from the West-South-West (254&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="1mph from the West (260&deg;)" class="fc_wind west fc_good"><span>1</span></li>
+              <li title="1mph from the West (266&deg;)" class="fc_wind west fc_good"><span>1</span></li>
+              <li title="1mph from the West (260&deg;)" class="fc_wind west fc_good"><span>1</span></li>
+              <li title="1mph from the West-South-West (254&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="1mph from the West-South-West (249&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="1mph from the West-South-West (255&deg;)" class="fc_wind west-south-west fc_good"><span>1</span></li>
+              <li title="1mph from the West (260&deg;)" class="fc_wind west fc_good"><span>1</span></li>
+              <li title="2mph from the West (263&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="2mph from the West (260&deg;)" class="fc_wind west fc_good"><span>2</span></li>
+              <li title="2mph from the West-South-West (256&deg;)" class="fc_wind west-south-west fc_good"><span>2</span></li>
+              <li title="2mph from the West-South-West (254&deg;)" class="fc_wind west-south-west fc_good"><span>2</span></li>
+              <li title="3mph from the West-South-West (255&deg;)" class="fc_wind west-south-west fc_good"><span>3</span></li>
+              <li title="4mph from the West-South-West (255&deg;)" class="fc_wind west-south-west fc_good"><span>4</span></li>
+              <li title="5mph from the West-South-West (256&deg;)" class="fc_wind west-south-west fc_good"><span>5</span></li>
+              <li title="5mph from the West (268&deg;)" class="fc_wind west fc_good"><span>5</span></li>
+              <li title="7mph from the West (276&deg;)" class="fc_wind west fc_good"><span>7</span></li>
+              <li title="8mph from the West-North-West (282&deg;)" class="fc_wind west-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the West-North-West (282&deg;)" class="fc_wind west-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the West-North-West (282&deg;)" class="fc_wind west-north-west fc_good"><span>8</span></li>
+              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Chance of Frost</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Temperature (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">10</li>              <li class="fc_good">11</li>              <li class="fc_good">12</li>              <li class="fc_good">13</li>              <li class="fc_good">12</li>              <li class="fc_good">12</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Feels Like (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              <li class="fc_good">14</li>              <li class="fc_good">14</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">12</li>              <li class="fc_good">12</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Dew Point (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_ok">6</li>              <li class="fc_ok">6</li>              <li class="fc_ok">6</li>              <li class="fc_ok">6</li>              <li class="fc_ok">6</li>              <li class="fc_ok">6</li>              <li class="fc_ok">6</li>              <li class="fc_ok">6</li>              <li class="fc_bad">6</li>              <li class="fc_ok">6</li>              <li class="fc_ok">6</li>              <li class="fc_good">6</li>              <li class="fc_good">6</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Relative Humidity (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">71</li>              <li class="fc_good">75</li>              <li class="fc_good">77</li>              <li class="fc_ok">81</li>              <li class="fc_ok">82</li>              <li class="fc_ok">85</li>              <li class="fc_ok">87</li>              <li class="fc_ok">87</li>              <li class="fc_ok">88</li>              <li class="fc_ok">90</li>              <li class="fc_bad">91</li>              <li class="fc_ok">90</li>              <li class="fc_bad">91</li>              <li class="fc_bad">91</li>              <li class="fc_bad">93</li>              <li class="fc_bad">91</li>              <li class="fc_ok">87</li>              <li class="fc_ok">84</li>              <li class="fc_good">80</li>              <li class="fc_good">76</li>              <li class="fc_good">72</li>              <li class="fc_good">70</li>              <li class="fc_good">72</li>              <li class="fc_good">75</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Pressure (mb)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1025</li>              <li class="fc_none">1025</li>              <li class="fc_none">1025</li>              <li class="fc_none">1024</li>              <li class="fc_none">1024</li>              <li class="fc_none">1024</li>              <li class="fc_none">1023</li>              <li class="fc_none">1023</li>              <li class="fc_none">1023</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              <li class="fc_none">1021</li>              <li class="fc_none">1020</li>              <li class="fc_none">1020</li>              <li class="fc_none">1020</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Ozone (du)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">267</li>              <li class="fc_none">267</li>              <li class="fc_none">266</li>              <li class="fc_none">266</li>              <li class="fc_none">266</li>              <li class="fc_none">265</li>              <li class="fc_none">265</li>              <li class="fc_none">264</li>              <li class="fc_none">263</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              <li class="fc_none">261</li>              <li class="fc_none">261</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              <li class="fc_none">263</li>              <li class="fc_none">263</li>              <li class="fc_none">262</li>              <li class="fc_none">262</li>              </ul>
+
+            </div>
+
+          </div>
+
+
+
+		</div>
+
+	</div>
+
+      <div class="fc_day" id="day_6">
+
+        <div class="fc_day_date" title="Show Detailed Forecast"><span>Friday</span> 1</div>
+
+        <div class="fc_moon" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Time:</strong> 12:41 02/11/2024 <br /> <strong>Altitude:</strong> 17.6&deg; <br /> <strong>Distance:</strong> 249,776 miles <br /> <strong>Rise:</strong> 08:21 02/11/2024 <br /> <strong>Set:</strong> 16:33 01/11/2024" data-title="Moon Meridian Details">
+
+          <div class="fc_moon_phase_image moon_phase_0" title="New Moon"></div>
+
+          <span class="fc_moon_phase">New Moon</span>
+
+          <span class="fc_moon_percentage">1%</span>
+
+          <span class="fc_moon_riseset"><img src="https://clearoutside.com/public/images/rise_icon.png" alt="Moon Rise" height="8px" width="8px" /> 08:21 <img src="https://clearoutside.com/public/images/set_icon.png" alt="Moon Set" height="8px" width="8px" />  16:33</span>
+
+        </div>
+
+        <div class="fc_hours fc_hour_ratings">
+
+          <ul>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 16 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 17 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 18 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 19 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 20 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 21 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 22 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 23 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 00 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 01 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 02 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 03 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 04 <span>Bad</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 05 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 06 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 07 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 08 <span>OK</span></li>              <li class="fc_ok"><span class="glyphicon glyphicon-time"></span> 09 <span>OK</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 10 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 11 <span>Bad</span></li>              <li class="fc_bad"><span class="glyphicon glyphicon-time"></span> 12 <span>Bad</span></li>
+          </ul>
+
+          <div class="fc_daylight" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Sunrise:</strong> 07:12 &nbsp; &nbsp; &nbsp;&nbsp; <strong>Sunset:</strong> 16:55 <br /> <strong>Sun Transit:</strong> 12:03 <br /> <strong>Civil Dark:</strong> 17:29 - 06:38 <br /> <strong>Nautical Dark:</strong> 18:08 - 06:00 <br /> <strong>Astro Dark:</strong> 18:45 - 05:23" data-title="Sun Rise/Set Details"><div class="fc_moonlight"></div><span>Sun - Rise: 07:12, Set: 16:55, Transit: 12:03.  Moon - Rise: 08:21, Set: 16:33. Civil Dark: 17:29 - 06:38. Nautical Dark: 18:08 - 06:00. <strong>Astro Dark: 18:45 - 05:23</strong></span></div>
+
+        </div>
+
+        <div class="fc_detail hidden-xs">
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Total Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_35">63</li>              <li class="fc_cl_25">73</li>              <li class="fc_cl_15">83</li>              <li class="fc_cl_10">89</li>              <li class="fc_cl_5">95</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_5">94</li>              <li class="fc_cl_15">87</li>              <li class="fc_cl_30">72</li>              <li class="fc_cl_45">53</li>              <li class="fc_cl_65">37</li>              <li class="fc_cl_80">22</li>              <li class="fc_cl_75">25</li>              <li class="fc_cl_70">28</li>              <li class="fc_cl_65">33</li>              <li class="fc_cl_55">47</li>              <li class="fc_cl_40">62</li>              <li class="fc_cl_25">77</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Low Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_40">58</li>              <li class="fc_cl_30">70</li>              <li class="fc_cl_20">81</li>              <li class="fc_cl_15">87</li>              <li class="fc_cl_5">94</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_5">94</li>              <li class="fc_cl_10">88</li>              <li class="fc_cl_20">82</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_25">75</li>              <li class="fc_cl_30">72</li>              <li class="fc_cl_45">53</li>              <li class="fc_cl_65">37</li>              <li class="fc_cl_80">22</li>              <li class="fc_cl_75">25</li>              <li class="fc_cl_70">28</li>              <li class="fc_cl_65">33</li>              <li class="fc_cl_55">47</li>              <li class="fc_cl_40">62</li>              <li class="fc_cl_25">73</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Medium Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_90">12</li>              <li class="fc_cl_75">24</li>              <li class="fc_cl_65">35</li>              <li class="fc_cl_60">42</li>              <li class="fc_cl_50">48</li>              <li class="fc_cl_50">51</li>              <li class="fc_cl_45">54</li>              <li class="fc_cl_45">57</li>              <li class="fc_cl_35">65</li>              <li class="fc_cl_55">43</li>              <li class="fc_cl_75">23</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">0</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_100">1</li>              <li class="fc_cl_90">9</li>              <li class="fc_cl_80">20</li>              <li class="fc_cl_70">29</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>High Clouds (% Sky Obscured)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_cl_95">7</li>              <li class="fc_cl_90">8</li>              <li class="fc_cl_90">8</li>              <li class="fc_cl_85">16</li>              <li class="fc_cl_75">25</li>              <li class="fc_cl_65">36</li>              <li class="fc_cl_40">58</li>              <li class="fc_cl_20">79</li>              <li class="fc_cl_0">100</li>              <li class="fc_cl_10">89</li>              <li class="fc_cl_20">78</li>              <li class="fc_cl_35">67</li>              <li class="fc_cl_50">48</li>              <li class="fc_cl_75">26</li>              <li class="fc_cl_95">4</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_100">2</li>              <li class="fc_cl_95">3</li>              <li class="fc_cl_95">4</li>              <li class="fc_cl_95">6</li>              </ul>
+
+            </div>
+
+          </div>
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>ISS Passover</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 04:33:20 (ESE - 26&deg;) <br /><strong>Max:</strong> 04:33:20 (NNE - 26&deg;) <br /><strong>End:</strong> 04:34:50 (ESE - 10&deg;) <br /><strong>Magnitude:</strong> -1.2<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_iss" data-container="body" data-toggle="popover" data-placement="right" data-content="<strong>Start:</strong> 06:06:18 (WSW - 15&deg;) <br /><strong>Max:</strong> 06:07:58 (SW - 22&deg;) <br /><strong>End:</strong> 06:10:28 (SSE - 11&deg;) <br /><strong>Magnitude:</strong> -1.7<br />" data-title="ISS Passover Times/Details"><span></span></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              <li class="fc_none"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Visibility (miles)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Fog (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              <li class="fc_bad">100</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Type</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="climacon none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              <li class="fc_none" title="None"><span>None</span></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Probability (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">3</li>              <li class="fc_good">7</li>              <li class="fc_good">11</li>              <li class="fc_good">20</li>              <li class="fc_ok">23</li>              <li class="fc_ok">25</li>              <li class="fc_ok">26</li>              <li class="fc_ok">26</li>              <li class="fc_ok">21</li>              <li class="fc_good">20</li>              <li class="fc_good">18</li>              <li class="fc_good">14</li>              <li class="fc_good">15</li>              <li class="fc_good">15</li>              <li class="fc_good">8</li>              <li class="fc_good">6</li>              <li class="fc_good">4</li>              <li class="fc_good">0</li>              <li class="fc_good">2</li>              <li class="fc_good">1</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Precipitation Amount (mm)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_ok">0</li>              <li class="fc_ok">0</li>              <li class="fc_ok">0</li>              <li class="fc_ok">0</li>              <li class="fc_ok">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              <li class="fc_good">0</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row fc_detail_row_tall">
+
+            <span class="fc_detail_label"><span>Wind Speed/Direction (mph)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li title="8mph from the West-North-West (283&deg;)" class="fc_wind west-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the West-North-West (282&deg;)" class="fc_wind west-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the West-North-West (282&deg;)" class="fc_wind west-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the West (281&deg;)" class="fc_wind west fc_good"><span>8</span></li>
+              <li title="8mph from the North-West (312&deg;)" class="fc_wind north-west fc_good"><span>8</span></li>
+              <li title="10mph from the North-North-West (336&deg;)" class="fc_wind north-north-west fc_good"><span>10</span></li>
+              <li title="12mph from the North (350&deg;)" class="fc_wind north fc_ok"><span>12</span></li>
+              <li title="12mph from the North-North-West (348&deg;)" class="fc_wind north-north-west fc_ok"><span>12</span></li>
+              <li title="11mph from the North-North-West (346&deg;)" class="fc_wind north-north-west fc_ok"><span>11</span></li>
+              <li title="10mph from the North-North-West (343&deg;)" class="fc_wind north-north-west fc_good"><span>10</span></li>
+              <li title="8mph from the North-North-West (340&deg;)" class="fc_wind north-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the North-North-West (335&deg;)" class="fc_wind north-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the North-North-West (330&deg;)" class="fc_wind north-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the North-West (322&deg;)" class="fc_wind north-west fc_good"><span>8</span></li>
+              <li title="7mph from the North-West (312&deg;)" class="fc_wind north-west fc_good"><span>7</span></li>
+              <li title="7mph from the West-North-West (299&deg;)" class="fc_wind west-north-west fc_good"><span>7</span></li>
+              <li title="7mph from the North-West (314&deg;)" class="fc_wind north-west fc_good"><span>7</span></li>
+              <li title="7mph from the North-North-West (327&deg;)" class="fc_wind north-north-west fc_good"><span>7</span></li>
+              <li title="8mph from the North-North-West (336&deg;)" class="fc_wind north-north-west fc_good"><span>8</span></li>
+              <li title="8mph from the North-North-West (341&deg;)" class="fc_wind north-north-west fc_good"><span>8</span></li>
+              <li title="9mph from the North-North-West (344&deg;)" class="fc_wind north-north-west fc_good"><span>9</span></li>
+              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Chance of Frost</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              <li class="fc_none" title="No Frost"></li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Temperature (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">12</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">10</li>              <li class="fc_good">10</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">6</li>              <li class="fc_good">5</li>              <li class="fc_good">4</li>              <li class="fc_good">5</li>              <li class="fc_good">5</li>              <li class="fc_good">6</li>              <li class="fc_good">7</li>              <li class="fc_good">7</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Feels Like (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">11</li>              <li class="fc_good">12</li>              <li class="fc_good">11</li>              <li class="fc_good">11</li>              <li class="fc_good">9</li>              <li class="fc_good">8</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">9</li>              <li class="fc_good">4</li>              <li class="fc_good">5</li>              <li class="fc_good">5</li>              <li class="fc_good">4</li>              <li class="fc_good">4</li>              <li class="fc_good">3</li>              <li class="fc_good">2</li>              <li class="fc_good">2</li>              <li class="fc_good">3</li>              <li class="fc_good">3</li>              <li class="fc_good">3</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Dew Point (&deg;C)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">8</li>              <li class="fc_good">7</li>              <li class="fc_good">6</li>              <li class="fc_good">5</li>              <li class="fc_good">4</li>              <li class="fc_good">3</li>              <li class="fc_good">3</li>              <li class="fc_good">4</li>              <li class="fc_good">4</li>              <li class="fc_good">3</li>              <li class="fc_good">2</li>              <li class="fc_good">1</li>              <li class="fc_good">0</li>              <li class="fc_good">-0</li>              <li class="fc_good">-1</li>              <li class="fc_good">-1</li>              <li class="fc_good">-2</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Relative Humidity (%)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_good">76</li>              <li class="fc_good">79</li>              <li class="fc_ok">83</li>              <li class="fc_ok">85</li>              <li class="fc_ok">84</li>              <li class="fc_good">80</li>              <li class="fc_good">78</li>              <li class="fc_good">76</li>              <li class="fc_good">73</li>              <li class="fc_good">69</li>              <li class="fc_good">73</li>              <li class="fc_good">74</li>              <li class="fc_good">77</li>              <li class="fc_good">76</li>              <li class="fc_good">78</li>              <li class="fc_good">77</li>              <li class="fc_good">72</li>              <li class="fc_good">67</li>              <li class="fc_good">63</li>              <li class="fc_good">58</li>              <li class="fc_good">54</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Pressure (mb)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">1019</li>              <li class="fc_none">1019</li>              <li class="fc_none">1020</li>              <li class="fc_none">1020</li>              <li class="fc_none">1020</li>              <li class="fc_none">1021</li>              <li class="fc_none">1021</li>              <li class="fc_none">1021</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              <li class="fc_none">1022</li>              <li class="fc_none">1023</li>              <li class="fc_none">1023</li>              <li class="fc_none">1024</li>              <li class="fc_none">1025</li>              <li class="fc_none">1025</li>              <li class="fc_none">1026</li>              <li class="fc_none">1026</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              <li class="fc_none">1027</li>              </ul>
+
+            </div>
+
+          </div>
+
+          <div class="fc_detail_row">
+
+            <span class="fc_detail_label"><span>Ozone (du)</span></span>
+
+            <div class="fc_hours">
+
+              <ul>              <li class="fc_none">261</li>              <li class="fc_none">262</li>              <li class="fc_none">263</li>              <li class="fc_none">263</li>              <li class="fc_none">265</li>              <li class="fc_none">267</li>              <li class="fc_none">269</li>              <li class="fc_none">274</li>              <li class="fc_none">279</li>              <li class="fc_none">284</li>              <li class="fc_none">290</li>              <li class="fc_none">296</li>              <li class="fc_none">302</li>              <li class="fc_none">303</li>              <li class="fc_none">304</li>              <li class="fc_none">305</li>              <li class="fc_none">309</li>              <li class="fc_none">313</li>              <li class="fc_none">317</li>              <li class="fc_none">319</li>              <li class="fc_none">322</li>              </ul>
+
+            </div>
+
+          </div>
+
+
+
+		</div>
+
+	</div>
+
+</div>
+<a href="?experimental=on" class="btn btn-sm btn-experimental" id="experimental_features_button" title="Click to Turn On Experimental / Test Features"><span class="glyphicon glyphicon-wrench"></span> Turn On Experimental Features</a>
+<p style="clear: both; text-align: center;"><a href="https://www.meteosource.com/" target="_BLANK" title="Powered by Meteosource Weather API">Powered by Meteosource Weather API</a></p>
+
+<style>
+
+
+#day_0 .fc_daylight {
+	background: #000000;
+	background: linear-gradient(to right, #FFFE88 8.78%, #F0B076 9.78%,#F0B076 11.1%, #4B7BC0 12.1%,#4B7BC0 13.73%, #2B5695 14.73%,#2B5695 16.32%, #000000 17.32%,#000000 58.32%, #2B5695 59.32%,#2B5695 60.92%, #4B7BC0 61.92%,#4B7BC0 63.55%, #F0B076 64.55%,#F0B076 65.87%, #FFFE88 66.87%,#FFFE88 86.76%, #F0707F 87.76%, #FFFE88 88.76%);
+}
+
+#day_0 .fc_moonlight {
+	background: #2B5695;
+	background: linear-gradient(to right, #AAAAAA 1%, #2B5695 2%,#2B5695 42%, #AAAAAA 43%,#AAAAAA 72%, #f0707f 73%, #AAAAAA 74%);
+}
+
+#day_1 .fc_daylight {
+	background: #000000;
+	background: linear-gradient(to right, #FFFE88 8.65%, #F0B076 9.65%,#F0B076 10.97%, #4B7BC0 11.97%,#4B7BC0 13.61%, #2B5695 14.61%,#2B5695 16.2%, #000000 17.2%,#000000 58.42%, #2B5695 59.42%,#2B5695 61.02%, #4B7BC0 62.02%,#4B7BC0 63.66%, #F0B076 64.66%,#F0B076 65.99%, #FFFE88 66.99%,#FFFE88 86.76%, #F0707F 87.76%, #FFFE88 88.76%);
+}
+
+#day_1 .fc_moonlight {
+	background: #2B5695;
+	background: linear-gradient(to right, #AAAAAA 2%, #2B5695 3%,#2B5695 47%, #AAAAAA 48%,#AAAAAA 75%, #f0707f 76%, #AAAAAA 77%);
+}
+
+#day_2 .fc_daylight {
+	background: #000000;
+	background: linear-gradient(to right, #FFFE88 4.36%, #F0B076 5.36%,#F0B076 6.69%, #4B7BC0 7.69%,#4B7BC0 9.33%, #2B5695 10.33%,#2B5695 11.92%, #000000 12.92%,#000000 54.36%, #2B5695 55.36%,#2B5695 56.96%, #4B7BC0 57.96%,#4B7BC0 59.6%, #F0B076 60.6%,#F0B076 61.94%, #FFFE88 62.94%,#FFFE88 82.59%, #F0707F 83.59%, #FFFE88 84.59%);
+}
+
+#day_2 .fc_moonlight {
+	background: #2B5695;
+	background: linear-gradient(to right, #2B5695 48%, #AAAAAA 49%,#AAAAAA 74%, #f0707f 75%, #AAAAAA 76%,#AAAAAA 100%, #2B5695 101%);
+}
+
+#day_3 .fc_daylight {
+	background: #000000;
+	background: linear-gradient(to right, #FFFE88 4.24%, #F0B076 5.24%,#F0B076 6.57%, #4B7BC0 7.57%,#4B7BC0 9.21%, #2B5695 10.21%,#2B5695 11.81%, #000000 12.81%,#000000 54.46%, #2B5695 55.46%,#2B5695 57.06%, #4B7BC0 58.06%,#4B7BC0 59.71%, #F0B076 60.71%,#F0B076 62.05%, #FFFE88 63.05%,#FFFE88 82.58%, #F0707F 83.58%, #FFFE88 84.58%);
+}
+
+#day_3 .fc_moonlight {
+	background: #2B5695;
+	background: linear-gradient(to right, #AAAAAA -0%, #2B5695 1%,#2B5695 52%, #AAAAAA 53%,#AAAAAA 76%, #f0707f 77%, #AAAAAA 78%,#AAAAAA 100%, #2B5695 101%);
+}
+
+#day_4 .fc_daylight {
+	background: #000000;
+	background: linear-gradient(to right, #FFFE88 4.12%, #F0B076 5.12%,#F0B076 6.46%, #4B7BC0 7.46%,#4B7BC0 9.1%, #2B5695 10.1%,#2B5695 11.71%, #000000 12.71%,#000000 54.56%, #2B5695 55.56%,#2B5695 57.17%, #4B7BC0 58.17%,#4B7BC0 59.82%, #F0B076 60.82%,#F0B076 62.17%, #FFFE88 63.17%,#FFFE88 82.58%, #F0707F 83.58%, #FFFE88 84.58%);
+}
+
+#day_4 .fc_moonlight {
+	background: #2B5695;
+	background: linear-gradient(to right, #AAAAAA 0%, #2B5695 1%,#2B5695 57%, #AAAAAA 58%,#AAAAAA 79%, #f0707f 80%, #AAAAAA 81%);
+}
+
+#day_5 .fc_daylight {
+	background: #000000;
+	background: linear-gradient(to right, #FFFE88 4%, #F0B076 5%,#F0B076 6.34%, #4B7BC0 7.34%,#4B7BC0 9%, #2B5695 10%,#2B5695 11.6%, #000000 12.6%,#000000 54.67%, #2B5695 55.67%,#2B5695 57.27%, #4B7BC0 58.27%,#4B7BC0 59.93%, #F0B076 60.93%,#F0B076 62.28%, #FFFE88 63.28%,#FFFE88 82.58%, #F0707F 83.58%, #FFFE88 84.58%);
+}
+
+#day_5 .fc_moonlight {
+	background: #2B5695;
+	background: linear-gradient(to right, #AAAAAA 1%, #2B5695 2%,#2B5695 62%, #AAAAAA 63%,#AAAAAA 82%, #f0707f 83%, #AAAAAA 84%);
+}
+
+#day_6 .fc_daylight {
+	background: #000000;
+	background: linear-gradient(to right, #FFFE88 3.88%, #F0B076 4.88%,#F0B076 6.23%, #4B7BC0 7.23%,#4B7BC0 8.89%, #2B5695 9.89%,#2B5695 11.5%, #000000 12.5%,#000000 54.77%, #2B5695 55.77%,#2B5695 57.37%, #4B7BC0 58.37%,#4B7BC0 60.03%, #F0B076 61.03%,#F0B076 62.4%, #FFFE88 63.4%,#FFFE88 82.58%, #F0707F 83.58%, #FFFE88 84.58%);
+}
+
+#day_6 .fc_moonlight {
+	background: #2B5695;
+	background: linear-gradient(to right, #AAAAAA 2%, #2B5695 3%,#2B5695 67%, #AAAAAA 68%,#AAAAAA 85%, #f0707f 86%, #AAAAAA 87%);
+}
+
+
+@media (min-width: 768px) {
+
+	.fc_day:first-of-type .fc_hours ul li:nth-child(1) {
+		border-style: solid !important;
+		border-width: 2px !important;
+		border-color: #2B5695 !important;
+		font-weight: bold;
+	}
+
+	.fc_day:first-of-type .fc_hour_ratings ul li:nth-child(1) span.glyphicon {
+		float: left;
+		display: block;
+		margin: -25px auto 0px auto;
+		height: 10px;
+		width: 100%;
+	}
+
+}
+</style>
+
+<script type="text/javascript">
+
+	var default_latitude= "50.00";
+	var default_longitude= "10.00";
+
+</script>
+	</div>
+
+	<footer class="container footer" role="footer">
+
+		<p><span>| <a href="https://clearoutside.com/forecast/50.0/10.0?mobile=true" title="View in Mobile Mode">View in Mobile Mode</a></span> | <a href="https://clearoutside.com/page/cookie_policy/" title="Cookie Policy">Cookie Policy</a> | <a href="https://clearoutside.com/page/privacy_policy/" title="Privacy Policy">Privacy Policy</a> | <a href="https://clearoutside.com/page/terms_and_conditions/" title="Terms and Conditions">Terms and Conditions</a> | <a href="https://clearoutside.com/page/acknowledgements/" title="Acknowledgements">Acknowledgements</a> | <a href="http://forecast.io/" target="_BLANK" title="Powered by Forecast">Powered by Forecast</a> | <a href="/cdn-cgi/l/email-protection#c5a7b0a2b685a6a9a0a4b7aab0b1b6aca1a0eba6aaa8" title="Bug Reports">Bug Reports</a> | <a href="https://clearoutside.com/page/get_in_touch/" title="Get In Touch">Get In Touch</a> |</p>
+
+		<p>First Light Optics Ltd All rights reserved © 2024</p>
+
+		<p>Registered Office: Unit 7 Budlake Units, Budlake Road, Marsh Barton Trading Estate, Exeter, Devon, EX2 8PY</p>
+
+		<p>Company No. 5892293 VAT No. 907 2895 01</p>
+
+	</footer>
+
+	<!-- jQuery -->
+	<script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script src="//ajax.googleapis.com/ajax/libs/jquery/1.11.0/jquery.min.js?v=22042023a"></script>
+	<script src="https://clearoutside.com/public/js/jquery.cookie.js?v=22042023a"></script>
+
+	<!-- Bootstrap Javascript -->
+	<script src="https://clearoutside.com/public/js/bootstrap.min.js?v=22042023a"></script>
+
+	<!-- Clear Outside Javascript -->
+	<script src="https://clearoutside.com/public/js/clear_outside.js?v=22042023a"></script>
+	<script src="https://clearoutside.com/public/js/clear_outside_geocode.js?v=22042023a"></script>
+
+	<!-- Set Base URL -->
+	<script type="text/javascript">
+
+		var base_url= "https://clearoutside.com/";
+
+	</script>
+
+
+	<!-- Cookie Compliance -->
+	<link rel="stylesheet" type="text/css" href="//cdnjs.cloudflare.com/ajax/libs/cookieconsent2/3.0.3/cookieconsent.min.css" />
+	<script src="//cdnjs.cloudflare.com/ajax/libs/cookieconsent2/3.0.3/cookieconsent.min.js"></script>
+	<script>
+	window.addEventListener("load", function(){
+	window.cookieconsent.initialise({
+	  "palette": {
+	    "popup": {
+	      "background": "#555555",
+	      "text": "#ffffff"
+	    },
+	    "button": {
+	      "background": "#f4881c",
+	      "text": "#ffffff"
+	    }
+	  },
+	  "theme": "classic",
+	  "content": {
+	    "href": "https://clearoutside.com/page/cookie_policy/"
+	  }
+	})});
+	</script>
+
+</body>
+
+</html>
diff --git a/tests/testdata/weatherforecast_clearout_1.json b/tests/testdata/weatherforecast_clearout_1.json
new file mode 100644
index 0000000..ae77640
--- /dev/null
+++ b/tests/testdata/weatherforecast_clearout_1.json
@@ -0,0 +1 @@
+{"settings":null,"records":[{"settings":null,"date_time":"2024-10-26T02:00:00+02:00","weather_total_clouds":76.0,"weather_low_clouds":40.0,"weather_medium_clouds":25.0,"weather_high_clouds":31.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5345406562673334,"weather_wind_speed":11.26538,"weather_wind_direction":82.0,"weather_frost_chance":"","weather_temp_air":14.0,"weather_feels_like":12.0,"weather_dew_point":6.0,"weather_relative_humidity":59.0,"weather_pressure":1018.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T03:00:00+02:00","weather_total_clouds":69.0,"weather_low_clouds":9.0,"weather_medium_clouds":30.0,"weather_high_clouds":25.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7686231292572652,"weather_wind_speed":9.65604,"weather_wind_direction":84.0,"weather_frost_chance":"","weather_temp_air":14.0,"weather_feels_like":13.0,"weather_dew_point":8.0,"weather_relative_humidity":68.0,"weather_pressure":1018.0,"weather_ozone":266.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T04:00:00+02:00","weather_total_clouds":63.0,"weather_low_clouds":41.0,"weather_medium_clouds":29.0,"weather_high_clouds":60.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8354895631381385,"weather_wind_speed":6.43736,"weather_wind_direction":85.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":12.0,"weather_dew_point":8.0,"weather_relative_humidity":75.0,"weather_pressure":1018.0,"weather_ozone":264.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T05:00:00+02:00","weather_total_clouds":99.0,"weather_low_clouds":39.0,"weather_medium_clouds":8.0,"weather_high_clouds":97.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8651290310892348,"weather_wind_speed":6.43736,"weather_wind_direction":80.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":10.0,"weather_dew_point":9.0,"weather_relative_humidity":81.0,"weather_pressure":1018.0,"weather_ozone":265.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T06:00:00+02:00","weather_total_clouds":46.0,"weather_low_clouds":14.0,"weather_medium_clouds":2.0,"weather_high_clouds":46.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8197998755611786,"weather_wind_speed":6.43736,"weather_wind_direction":78.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":10.0,"weather_dew_point":9.0,"weather_relative_humidity":84.0,"weather_pressure":1018.0,"weather_ozone":263.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T07:00:00+02:00","weather_total_clouds":54.0,"weather_low_clouds":0.0,"weather_medium_clouds":25.0,"weather_high_clouds":54.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8414641597940502,"weather_wind_speed":6.43736,"weather_wind_direction":74.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":9.0,"weather_dew_point":9.0,"weather_relative_humidity":85.0,"weather_pressure":1018.0,"weather_ozone":261.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T08:00:00+02:00","weather_total_clouds":46.0,"weather_low_clouds":6.0,"weather_medium_clouds":2.0,"weather_high_clouds":46.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7325709431177607,"weather_wind_speed":6.43736,"weather_wind_direction":83.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":85.0,"weather_pressure":1018.0,"weather_ozone":260.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T09:00:00+02:00","weather_total_clouds":95.0,"weather_low_clouds":44.0,"weather_medium_clouds":0.0,"weather_high_clouds":87.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8548700685143087,"weather_wind_speed":6.43736,"weather_wind_direction":95.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":91.0,"weather_pressure":1018.0,"weather_ozone":260.0,"weather_ghi":24.291000436601216,"weather_dni":0.0,"weather_dhi":24.291000436601216},{"settings":null,"date_time":"2024-10-26T10:00:00+02:00","weather_total_clouds":86.0,"weather_low_clouds":67.0,"weather_medium_clouds":2.0,"weather_high_clouds":53.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7453005409540279,"weather_wind_speed":4.82802,"weather_wind_direction":94.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":91.0,"weather_pressure":1018.0,"weather_ozone":260.0,"weather_ghi":85.88494154645998,"weather_dni":0.0,"weather_dhi":85.88494154645998},{"settings":null,"date_time":"2024-10-26T11:00:00+02:00","weather_total_clouds":86.0,"weather_low_clouds":71.0,"weather_medium_clouds":4.0,"weather_high_clouds":55.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":4.82802,"weather_wind_direction":84.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1018.0,"weather_ozone":261.0,"weather_ghi":136.09269403109946,"weather_dni":10.19687368654253,"weather_dhi":132.32210426501337},{"settings":null,"date_time":"2024-10-26T12:00:00+02:00","weather_total_clouds":98.0,"weather_low_clouds":71.0,"weather_medium_clouds":7.0,"weather_high_clouds":80.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":4.82802,"weather_wind_direction":69.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1018.0,"weather_ozone":262.0,"weather_ghi":139.26925350542064,"weather_dni":0.0,"weather_dhi":139.26925350542064},{"settings":null,"date_time":"2024-10-26T13:00:00+02:00","weather_total_clouds":99.0,"weather_low_clouds":63.0,"weather_medium_clouds":6.0,"weather_high_clouds":91.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":3.21868,"weather_wind_direction":94.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1018.0,"weather_ozone":260.0,"weather_ghi":146.7174434892616,"weather_dni":0.0,"weather_dhi":146.7174434892616},{"settings":null,"date_time":"2024-10-26T14:00:00+02:00","weather_total_clouds":95.0,"weather_low_clouds":57.0,"weather_medium_clouds":5.0,"weather_high_clouds":70.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":1.60934,"weather_wind_direction":91.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1018.0,"weather_ozone":260.0,"weather_ghi":149.0167479382964,"weather_dni":2.9434862632289804,"weather_dhi":147.721968406295},{"settings":null,"date_time":"2024-10-26T15:00:00+02:00","weather_total_clouds":87.0,"weather_low_clouds":59.0,"weather_medium_clouds":13.0,"weather_high_clouds":54.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8956364436464912,"weather_wind_speed":1.60934,"weather_wind_direction":165.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":9.0,"weather_dew_point":9.0,"weather_relative_humidity":93.0,"weather_pressure":1019.0,"weather_ozone":260.0,"weather_ghi":138.97458866666065,"weather_dni":9.621272744657047,"weather_dhi":135.32240392326145},{"settings":null,"date_time":"2024-10-26T16:00:00+02:00","weather_total_clouds":78.0,"weather_low_clouds":59.0,"weather_medium_clouds":11.0,"weather_high_clouds":36.0,"weather_visibility":14484.06,"weather_fog":34.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8220170482487101,"weather_wind_speed":1.60934,"weather_wind_direction":278.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":9.0,"weather_relative_humidity":95.0,"weather_pressure":1019.0,"weather_ozone":259.0,"weather_ghi":103.47132353697396,"weather_dni":9.384995789935898,"weather_dhi":100.82522311704261},{"settings":null,"date_time":"2024-10-26T17:00:00+02:00","weather_total_clouds":62.0,"weather_low_clouds":56.0,"weather_medium_clouds":23.0,"weather_high_clouds":8.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8220170482487101,"weather_wind_speed":3.21868,"weather_wind_direction":234.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":9.0,"weather_relative_humidity":95.0,"weather_pressure":1020.0,"weather_ozone":258.0,"weather_ghi":46.81279774519421,"weather_dni":0.0,"weather_dhi":46.81279774519421},{"settings":null,"date_time":"2024-10-26T18:00:00+02:00","weather_total_clouds":48.0,"weather_low_clouds":36.0,"weather_medium_clouds":24.0,"weather_high_clouds":13.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8956364436464912,"weather_wind_speed":3.21868,"weather_wind_direction":244.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":11.0,"weather_dew_point":9.0,"weather_relative_humidity":93.0,"weather_pressure":1021.0,"weather_ozone":258.0,"weather_ghi":0.12972168074047014,"weather_dni":0.0,"weather_dhi":0.12972168074047014},{"settings":null,"date_time":"2024-10-26T19:00:00+02:00","weather_total_clouds":54.0,"weather_low_clouds":46.0,"weather_medium_clouds":18.0,"weather_high_clouds":5.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8847927282597918,"weather_wind_speed":3.21868,"weather_wind_direction":226.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":12.0,"weather_dew_point":9.0,"weather_relative_humidity":87.0,"weather_pressure":1021.0,"weather_ozone":256.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T20:00:00+02:00","weather_total_clouds":50.0,"weather_low_clouds":29.0,"weather_medium_clouds":32.0,"weather_high_clouds":9.0,"weather_visibility":14484.06,"weather_fog":4.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.9823287281891897,"weather_wind_speed":6.43736,"weather_wind_direction":260.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":13.0,"weather_dew_point":10.0,"weather_relative_humidity":81.0,"weather_pressure":1022.0,"weather_ozone":255.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T21:00:00+02:00","weather_total_clouds":62.0,"weather_low_clouds":34.0,"weather_medium_clouds":42.0,"weather_high_clouds":11.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.9766964385816497,"weather_wind_speed":8.0467,"weather_wind_direction":277.0,"weather_frost_chance":"","weather_temp_air":14.0,"weather_feels_like":14.0,"weather_dew_point":10.0,"weather_relative_humidity":76.0,"weather_pressure":1022.0,"weather_ozone":257.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T22:00:00+02:00","weather_total_clouds":60.0,"weather_low_clouds":35.0,"weather_medium_clouds":20.0,"weather_high_clouds":29.0,"weather_visibility":14484.06,"weather_fog":1.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.9346943880237457,"weather_wind_speed":9.65604,"weather_wind_direction":290.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":15.0,"weather_dew_point":10.0,"weather_relative_humidity":70.0,"weather_pressure":1022.0,"weather_ozone":259.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-26T23:00:00+02:00","weather_total_clouds":63.0,"weather_low_clouds":39.0,"weather_medium_clouds":20.0,"weather_high_clouds":30.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.9381315133101413,"weather_wind_speed":9.65604,"weather_wind_direction":310.0,"weather_frost_chance":"","weather_temp_air":16.0,"weather_feels_like":15.0,"weather_dew_point":9.0,"weather_relative_humidity":66.0,"weather_pressure":1022.0,"weather_ozone":260.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T00:00:00+02:00","weather_total_clouds":37.0,"weather_low_clouds":25.0,"weather_medium_clouds":12.0,"weather_high_clouds":8.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.9381315133101413,"weather_wind_speed":8.0467,"weather_wind_direction":313.0,"weather_frost_chance":"","weather_temp_air":16.0,"weather_feels_like":15.0,"weather_dew_point":10.0,"weather_relative_humidity":66.0,"weather_pressure":1022.0,"weather_ozone":262.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T01:00:00+02:00","weather_total_clouds":55.0,"weather_low_clouds":53.0,"weather_medium_clouds":0.0,"weather_high_clouds":11.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.026228400278784,"weather_wind_speed":8.0467,"weather_wind_direction":312.0,"weather_frost_chance":"","weather_temp_air":16.0,"weather_feels_like":17.0,"weather_dew_point":11.0,"weather_relative_humidity":69.0,"weather_pressure":1022.0,"weather_ozone":263.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T02:00:00+01:00","weather_total_clouds":58.0,"weather_low_clouds":40.0,"weather_medium_clouds":33.0,"weather_high_clouds":5.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.376910248143459,"weather_wind_speed":6.43736,"weather_wind_direction":290.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":15.0,"weather_dew_point":12.0,"weather_relative_humidity":86.0,"weather_pressure":1023.0,"weather_ozone":264.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T03:00:00+01:00","weather_total_clouds":63.0,"weather_low_clouds":31.0,"weather_medium_clouds":41.0,"weather_high_clouds":3.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.1781142815905907,"weather_wind_speed":6.43736,"weather_wind_direction":296.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":14.0,"weather_dew_point":12.0,"weather_relative_humidity":89.0,"weather_pressure":1024.0,"weather_ozone":264.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T04:00:00+01:00","weather_total_clouds":45.0,"weather_low_clouds":10.0,"weather_medium_clouds":25.0,"weather_high_clouds":3.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.1046946990650652,"weather_wind_speed":4.82802,"weather_wind_direction":303.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":13.0,"weather_dew_point":11.0,"weather_relative_humidity":86.0,"weather_pressure":1025.0,"weather_ozone":264.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T05:00:00+01:00","weather_total_clouds":21.0,"weather_low_clouds":13.0,"weather_medium_clouds":0.0,"weather_high_clouds":2.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.1046946990650652,"weather_wind_speed":3.21868,"weather_wind_direction":295.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":13.0,"weather_dew_point":10.0,"weather_relative_humidity":86.0,"weather_pressure":1025.0,"weather_ozone":264.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T06:00:00+01:00","weather_total_clouds":50.0,"weather_low_clouds":50.0,"weather_medium_clouds":0.0,"weather_high_clouds":2.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.9342078840925396,"weather_wind_speed":1.60934,"weather_wind_direction":279.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":13.0,"weather_dew_point":10.0,"weather_relative_humidity":84.0,"weather_pressure":1026.0,"weather_ozone":265.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T07:00:00+01:00","weather_total_clouds":63.0,"weather_low_clouds":57.0,"weather_medium_clouds":6.0,"weather_high_clouds":17.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8197998755611786,"weather_wind_speed":1.60934,"weather_wind_direction":239.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":12.0,"weather_dew_point":9.0,"weather_relative_humidity":84.0,"weather_pressure":1026.0,"weather_ozone":264.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T08:00:00+01:00","weather_total_clouds":58.0,"weather_low_clouds":48.0,"weather_medium_clouds":2.0,"weather_high_clouds":35.0,"weather_visibility":14484.06,"weather_fog":7.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8631284440269211,"weather_wind_speed":4.82802,"weather_wind_direction":195.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":11.0,"weather_dew_point":9.0,"weather_relative_humidity":86.0,"weather_pressure":1026.0,"weather_ozone":263.0,"weather_ghi":37.204832137778034,"weather_dni":0.0,"weather_dhi":37.204832137778034},{"settings":null,"date_time":"2024-10-27T09:00:00+01:00","weather_total_clouds":63.0,"weather_low_clouds":63.0,"weather_medium_clouds":12.0,"weather_high_clouds":18.0,"weather_visibility":14484.06,"weather_fog":38.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.949785580958406,"weather_wind_speed":3.21868,"weather_wind_direction":203.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":12.0,"weather_dew_point":9.0,"weather_relative_humidity":90.0,"weather_pressure":1026.0,"weather_ozone":262.0,"weather_ghi":112.0573595890815,"weather_dni":44.8270981083946,"weather_dhi":100.25443965406346},{"settings":null,"date_time":"2024-10-27T10:00:00+01:00","weather_total_clouds":62.0,"weather_low_clouds":62.0,"weather_medium_clouds":22.0,"weather_high_clouds":1.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8548700685143087,"weather_wind_speed":3.21868,"weather_wind_direction":210.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":12.0,"weather_dew_point":9.0,"weather_relative_humidity":91.0,"weather_pressure":1026.0,"weather_ozone":262.0,"weather_ghi":181.01629504839175,"weather_dni":85.37350885880717,"weather_dhi":149.87357198754168},{"settings":null,"date_time":"2024-10-27T11:00:00+01:00","weather_total_clouds":65.0,"weather_low_clouds":65.0,"weather_medium_clouds":25.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7453005409540279,"weather_wind_speed":3.21868,"weather_wind_direction":210.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":11.0,"weather_dew_point":8.0,"weather_relative_humidity":91.0,"weather_pressure":1026.0,"weather_ozone":263.0,"weather_ghi":218.32683696338825,"weather_dni":85.58606688396672,"weather_dhi":181.5549864712357},{"settings":null,"date_time":"2024-10-27T12:00:00+01:00","weather_total_clouds":56.0,"weather_low_clouds":56.0,"weather_medium_clouds":24.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7453005409540279,"weather_wind_speed":3.21868,"weather_wind_direction":175.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":8.0,"weather_relative_humidity":91.0,"weather_pressure":1026.0,"weather_ozone":265.0,"weather_ghi":258.10347373509194,"weather_dni":134.82686587425678,"weather_dhi":196.96409078979283},{"settings":null,"date_time":"2024-10-27T13:00:00+01:00","weather_total_clouds":76.0,"weather_low_clouds":65.0,"weather_medium_clouds":20.0,"weather_high_clouds":26.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":3.21868,"weather_wind_direction":184.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1026.0,"weather_ozone":269.0,"weather_ghi":194.21513604102017,"weather_dni":44.89511161898612,"weather_dhi":174.70347237365272},{"settings":null,"date_time":"2024-10-27T14:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":65.0,"weather_medium_clouds":18.0,"weather_high_clouds":77.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":3.21868,"weather_wind_direction":168.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1026.0,"weather_ozone":276.0,"weather_ghi":109.95561941571053,"weather_dni":0.0,"weather_dhi":109.95561941571053},{"settings":null,"date_time":"2024-10-27T15:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":65.0,"weather_medium_clouds":16.0,"weather_high_clouds":70.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":3.21868,"weather_wind_direction":181.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1026.0,"weather_ozone":270.0,"weather_ghi":71.56287388742025,"weather_dni":0.0,"weather_dhi":71.56287388742025},{"settings":null,"date_time":"2024-10-27T16:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":65.0,"weather_medium_clouds":24.0,"weather_high_clouds":80.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":3.21868,"weather_wind_direction":181.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1026.0,"weather_ozone":269.0,"weather_ghi":25.90303659201319,"weather_dni":0.0,"weather_dhi":25.90303659201319},{"settings":null,"date_time":"2024-10-27T17:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":65.0,"weather_medium_clouds":27.0,"weather_high_clouds":88.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8956364436464912,"weather_wind_speed":3.21868,"weather_wind_direction":183.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":8.0,"weather_dew_point":9.0,"weather_relative_humidity":93.0,"weather_pressure":1027.0,"weather_ozone":273.0,"weather_ghi":0.027781191847857583,"weather_dni":0.0,"weather_dhi":0.027781191847857583},{"settings":null,"date_time":"2024-10-27T18:00:00+01:00","weather_total_clouds":75.0,"weather_low_clouds":70.0,"weather_medium_clouds":0.0,"weather_high_clouds":54.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7733373182499432,"weather_wind_speed":4.82802,"weather_wind_direction":202.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":9.0,"weather_dew_point":8.0,"weather_relative_humidity":87.0,"weather_pressure":1027.0,"weather_ozone":273.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T19:00:00+01:00","weather_total_clouds":56.0,"weather_low_clouds":56.0,"weather_medium_clouds":0.0,"weather_high_clouds":36.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6898141701639517,"weather_wind_speed":4.82802,"weather_wind_direction":222.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":11.0,"weather_dew_point":7.0,"weather_relative_humidity":78.0,"weather_pressure":1026.0,"weather_ozone":274.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T20:00:00+01:00","weather_total_clouds":55.0,"weather_low_clouds":55.0,"weather_medium_clouds":0.0,"weather_high_clouds":35.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6809187564137544,"weather_wind_speed":6.43736,"weather_wind_direction":234.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":13.0,"weather_dew_point":7.0,"weather_relative_humidity":73.0,"weather_pressure":1026.0,"weather_ozone":280.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T21:00:00+01:00","weather_total_clouds":59.0,"weather_low_clouds":59.0,"weather_medium_clouds":0.0,"weather_high_clouds":30.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7131235922622625,"weather_wind_speed":6.43736,"weather_wind_direction":245.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":14.0,"weather_dew_point":8.0,"weather_relative_humidity":70.0,"weather_pressure":1026.0,"weather_ozone":283.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T22:00:00+01:00","weather_total_clouds":72.0,"weather_low_clouds":72.0,"weather_medium_clouds":0.0,"weather_high_clouds":20.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8794174055087811,"weather_wind_speed":8.0467,"weather_wind_direction":248.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":15.0,"weather_dew_point":9.0,"weather_relative_humidity":68.0,"weather_pressure":1025.0,"weather_ozone":285.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-27T23:00:00+01:00","weather_total_clouds":65.0,"weather_low_clouds":47.0,"weather_medium_clouds":0.0,"weather_high_clouds":24.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8241404229938172,"weather_wind_speed":9.65604,"weather_wind_direction":258.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":14.0,"weather_dew_point":9.0,"weather_relative_humidity":66.0,"weather_pressure":1025.0,"weather_ozone":287.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T00:00:00+01:00","weather_total_clouds":63.0,"weather_low_clouds":33.0,"weather_medium_clouds":0.0,"weather_high_clouds":48.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":2.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8794174055087811,"weather_wind_speed":8.0467,"weather_wind_direction":266.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":15.0,"weather_dew_point":10.0,"weather_relative_humidity":68.0,"weather_pressure":1025.0,"weather_ozone":288.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T01:00:00+01:00","weather_total_clouds":78.0,"weather_low_clouds":23.0,"weather_medium_clouds":0.0,"weather_high_clouds":59.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.045248353053674,"weather_wind_speed":9.65604,"weather_wind_direction":276.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":14.0,"weather_dew_point":10.0,"weather_relative_humidity":74.0,"weather_pressure":1025.0,"weather_ozone":286.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T02:00:00+01:00","weather_total_clouds":64.0,"weather_low_clouds":4.0,"weather_medium_clouds":0.0,"weather_high_clouds":61.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.158760584240486,"weather_wind_speed":6.43736,"weather_wind_direction":271.0,"weather_frost_chance":"","weather_temp_air":14.0,"weather_feels_like":12.0,"weather_dew_point":11.0,"weather_relative_humidity":83.0,"weather_pressure":1025.0,"weather_ozone":284.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T03:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":0.0,"weather_medium_clouds":1.0,"weather_high_clouds":100.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.0032867370958445,"weather_wind_speed":4.82802,"weather_wind_direction":249.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":12.0,"weather_dew_point":10.0,"weather_relative_humidity":87.0,"weather_pressure":1025.0,"weather_ozone":284.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T04:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":3.0,"weather_medium_clouds":40.0,"weather_high_clouds":100.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":2.0493393057647147,"weather_wind_speed":4.82802,"weather_wind_direction":238.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":11.0,"weather_dew_point":10.0,"weather_relative_humidity":89.0,"weather_pressure":1026.0,"weather_ozone":283.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T05:00:00+01:00","weather_total_clouds":95.0,"weather_low_clouds":52.0,"weather_medium_clouds":9.0,"weather_high_clouds":83.0,"weather_visibility":14484.06,"weather_fog":0.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.993114149424148,"weather_wind_speed":4.82802,"weather_wind_direction":246.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":11.0,"weather_dew_point":10.0,"weather_relative_humidity":92.0,"weather_pressure":1026.0,"weather_ozone":279.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T06:00:00+01:00","weather_total_clouds":99.0,"weather_low_clouds":65.0,"weather_medium_clouds":2.0,"weather_high_clouds":99.0,"weather_visibility":14484.06,"weather_fog":37.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.949785580958406,"weather_wind_speed":4.82802,"weather_wind_direction":248.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":10.0,"weather_dew_point":9.0,"weather_relative_humidity":90.0,"weather_pressure":1026.0,"weather_ozone":279.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T07:00:00+01:00","weather_total_clouds":96.0,"weather_low_clouds":57.0,"weather_medium_clouds":50.0,"weather_high_clouds":96.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8344868809482175,"weather_wind_speed":4.82802,"weather_wind_direction":255.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":10.0,"weather_dew_point":9.0,"weather_relative_humidity":90.0,"weather_pressure":1027.0,"weather_ozone":280.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T08:00:00+01:00","weather_total_clouds":83.0,"weather_low_clouds":55.0,"weather_medium_clouds":52.0,"weather_high_clouds":83.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8344868809482175,"weather_wind_speed":4.82802,"weather_wind_direction":264.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":10.0,"weather_dew_point":9.0,"weather_relative_humidity":90.0,"weather_pressure":1027.0,"weather_ozone":282.0,"weather_ghi":25.791773916817085,"weather_dni":0.0,"weather_dhi":25.791773916817085},{"settings":null,"date_time":"2024-10-28T09:00:00+01:00","weather_total_clouds":91.0,"weather_low_clouds":56.0,"weather_medium_clouds":65.0,"weather_high_clouds":72.0,"weather_visibility":14484.06,"weather_fog":98.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8344868809482175,"weather_wind_speed":3.21868,"weather_wind_direction":271.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":10.0,"weather_dew_point":9.0,"weather_relative_humidity":90.0,"weather_pressure":1027.0,"weather_ozone":281.0,"weather_ghi":75.49517518163593,"weather_dni":0.0,"weather_dhi":75.49517518163593},{"settings":null,"date_time":"2024-10-28T10:00:00+01:00","weather_total_clouds":97.0,"weather_low_clouds":69.0,"weather_medium_clouds":42.0,"weather_high_clouds":67.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8548700685143087,"weather_wind_speed":3.21868,"weather_wind_direction":268.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":10.0,"weather_dew_point":9.0,"weather_relative_humidity":91.0,"weather_pressure":1027.0,"weather_ozone":278.0,"weather_ghi":110.05306575765061,"weather_dni":0.0,"weather_dhi":110.05306575765061},{"settings":null,"date_time":"2024-10-28T11:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":75.0,"weather_medium_clouds":59.0,"weather_high_clouds":96.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8956364436464912,"weather_wind_speed":3.21868,"weather_wind_direction":276.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":9.0,"weather_dew_point":9.0,"weather_relative_humidity":93.0,"weather_pressure":1027.0,"weather_ozone":277.0,"weather_ghi":130.36720205010565,"weather_dni":0.0,"weather_dhi":130.36720205010565},{"settings":null,"date_time":"2024-10-28T12:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":75.0,"weather_medium_clouds":85.0,"weather_high_clouds":33.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":3.21868,"weather_wind_direction":278.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1027.0,"weather_ozone":275.0,"weather_ghi":140.04739059314485,"weather_dni":0.0,"weather_dhi":140.04739059314485},{"settings":null,"date_time":"2024-10-28T13:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":70.0,"weather_medium_clouds":69.0,"weather_high_clouds":20.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7453005409540279,"weather_wind_speed":3.21868,"weather_wind_direction":278.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":91.0,"weather_pressure":1027.0,"weather_ozone":276.0,"weather_ghi":132.3396471104131,"weather_dni":0.0,"weather_dhi":132.3396471104131},{"settings":null,"date_time":"2024-10-28T14:00:00+01:00","weather_total_clouds":98.0,"weather_low_clouds":65.0,"weather_medium_clouds":71.0,"weather_high_clouds":1.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":3.21868,"weather_wind_direction":264.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1027.0,"weather_ozone":277.0,"weather_ghi":111.99745314564464,"weather_dni":0.0,"weather_dhi":111.99745314564464},{"settings":null,"date_time":"2024-10-28T15:00:00+01:00","weather_total_clouds":97.0,"weather_low_clouds":60.0,"weather_medium_clouds":72.0,"weather_high_clouds":1.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":1.60934,"weather_wind_direction":244.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1027.0,"weather_ozone":279.0,"weather_ghi":73.57937324917566,"weather_dni":0.0,"weather_dhi":73.57937324917566},{"settings":null,"date_time":"2024-10-28T16:00:00+01:00","weather_total_clouds":93.0,"weather_low_clouds":60.0,"weather_medium_clouds":73.0,"weather_high_clouds":5.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.783658794601369,"weather_wind_speed":1.60934,"weather_wind_direction":248.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":8.0,"weather_relative_humidity":93.0,"weather_pressure":1028.0,"weather_ozone":281.0,"weather_ghi":27.579481548902116,"weather_dni":0.0,"weather_dhi":27.579481548902116},{"settings":null,"date_time":"2024-10-28T17:00:00+01:00","weather_total_clouds":95.0,"weather_low_clouds":65.0,"weather_medium_clouds":77.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8956364436464912,"weather_wind_speed":1.60934,"weather_wind_direction":250.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":9.0,"weather_dew_point":9.0,"weather_relative_humidity":93.0,"weather_pressure":1028.0,"weather_ozone":281.0,"weather_ghi":0.007993144588899739,"weather_dni":0.0,"weather_dhi":0.007993144588899739},{"settings":null,"date_time":"2024-10-28T18:00:00+01:00","weather_total_clouds":91.0,"weather_low_clouds":61.0,"weather_medium_clouds":71.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7733373182499432,"weather_wind_speed":1.60934,"weather_wind_direction":262.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":10.0,"weather_dew_point":8.0,"weather_relative_humidity":87.0,"weather_pressure":1028.0,"weather_ozone":282.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T19:00:00+01:00","weather_total_clouds":77.0,"weather_low_clouds":53.0,"weather_medium_clouds":31.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7548070228625654,"weather_wind_speed":1.60934,"weather_wind_direction":250.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":12.0,"weather_dew_point":8.0,"weather_relative_humidity":81.0,"weather_pressure":1028.0,"weather_ozone":282.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T20:00:00+01:00","weather_total_clouds":65.0,"weather_low_clouds":54.0,"weather_medium_clouds":6.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8354895631381385,"weather_wind_speed":3.21868,"weather_wind_direction":242.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":14.0,"weather_dew_point":8.0,"weather_relative_humidity":75.0,"weather_pressure":1028.0,"weather_ozone":283.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T21:00:00+01:00","weather_total_clouds":66.0,"weather_low_clouds":49.0,"weather_medium_clouds":14.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8206414565883613,"weather_wind_speed":4.82802,"weather_wind_direction":243.0,"weather_frost_chance":"","weather_temp_air":14.0,"weather_feels_like":15.0,"weather_dew_point":9.0,"weather_relative_humidity":70.0,"weather_pressure":1027.0,"weather_ozone":282.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T22:00:00+01:00","weather_total_clouds":58.0,"weather_low_clouds":46.0,"weather_medium_clouds":13.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8241404229938172,"weather_wind_speed":4.82802,"weather_wind_direction":260.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":16.0,"weather_dew_point":9.0,"weather_relative_humidity":66.0,"weather_pressure":1027.0,"weather_ozone":281.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-28T23:00:00+01:00","weather_total_clouds":51.0,"weather_low_clouds":40.0,"weather_medium_clouds":10.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7412249492213707,"weather_wind_speed":3.21868,"weather_wind_direction":276.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":16.0,"weather_dew_point":8.0,"weather_relative_humidity":63.0,"weather_pressure":1027.0,"weather_ozone":281.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T00:00:00+01:00","weather_total_clouds":41.0,"weather_low_clouds":34.0,"weather_medium_clouds":8.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6859479667064068,"weather_wind_speed":3.21868,"weather_wind_direction":296.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":16.0,"weather_dew_point":8.0,"weather_relative_humidity":61.0,"weather_pressure":1026.0,"weather_ozone":280.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T01:00:00+01:00","weather_total_clouds":35.0,"weather_low_clouds":22.0,"weather_medium_clouds":12.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.907055896766263,"weather_wind_speed":1.60934,"weather_wind_direction":44.0,"weather_frost_chance":"","weather_temp_air":15.0,"weather_feels_like":16.0,"weather_dew_point":9.0,"weather_relative_humidity":69.0,"weather_pressure":1026.0,"weather_ozone":278.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T02:00:00+01:00","weather_total_clouds":28.0,"weather_low_clouds":12.0,"weather_medium_clouds":16.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8354895631381385,"weather_wind_speed":1.60934,"weather_wind_direction":72.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":15.0,"weather_dew_point":9.0,"weather_relative_humidity":75.0,"weather_pressure":1026.0,"weather_ozone":275.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T03:00:00+01:00","weather_total_clouds":20.0,"weather_low_clouds":1.0,"weather_medium_clouds":20.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8421027467547997,"weather_wind_speed":1.60934,"weather_wind_direction":44.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":14.0,"weather_dew_point":9.0,"weather_relative_humidity":80.0,"weather_pressure":1027.0,"weather_ozone":274.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T04:00:00+01:00","weather_total_clouds":32.0,"weather_low_clouds":15.0,"weather_medium_clouds":18.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7548070228625654,"weather_wind_speed":1.60934,"weather_wind_direction":10.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":13.0,"weather_dew_point":8.0,"weather_relative_humidity":81.0,"weather_pressure":1027.0,"weather_ozone":274.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T05:00:00+01:00","weather_total_clouds":43.0,"weather_low_clouds":30.0,"weather_medium_clouds":14.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7981355913283075,"weather_wind_speed":1.60934,"weather_wind_direction":30.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":12.0,"weather_dew_point":8.0,"weather_relative_humidity":83.0,"weather_pressure":1027.0,"weather_ozone":274.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T06:00:00+01:00","weather_total_clouds":51.0,"weather_low_clouds":47.0,"weather_medium_clouds":9.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7121877555516696,"weather_wind_speed":3.21868,"weather_wind_direction":14.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":11.0,"weather_dew_point":7.0,"weather_relative_humidity":84.0,"weather_pressure":1027.0,"weather_ozone":273.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T07:00:00+01:00","weather_total_clouds":56.0,"weather_low_clouds":55.0,"weather_medium_clouds":9.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6110466531883332,"weather_wind_speed":3.21868,"weather_wind_direction":19.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":7.0,"weather_relative_humidity":84.0,"weather_pressure":1027.0,"weather_ozone":272.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T08:00:00+01:00","weather_total_clouds":56.0,"weather_low_clouds":56.0,"weather_medium_clouds":10.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6110466531883332,"weather_wind_speed":3.21868,"weather_wind_direction":18.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":84.0,"weather_pressure":1027.0,"weather_ozone":272.0,"weather_ghi":33.31313913387411,"weather_dni":0.0,"weather_dhi":33.31313913387411},{"settings":null,"date_time":"2024-10-29T09:00:00+01:00","weather_total_clouds":55.0,"weather_low_clouds":55.0,"weather_medium_clouds":10.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5341113321662052,"weather_wind_speed":3.21868,"weather_wind_direction":25.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":85.0,"weather_pressure":1027.0,"weather_ozone":270.0,"weather_ghi":115.57588897514835,"weather_dni":68.98361748114174,"weather_dhi":98.07301144798973},{"settings":null,"date_time":"2024-10-29T10:00:00+01:00","weather_total_clouds":55.0,"weather_low_clouds":55.0,"weather_medium_clouds":7.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5341113321662052,"weather_wind_speed":3.21868,"weather_wind_direction":28.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":85.0,"weather_pressure":1027.0,"weather_ozone":270.0,"weather_ghi":187.93315227864363,"weather_dni":116.51851666238542,"weather_dhi":146.5864814564899},{"settings":null,"date_time":"2024-10-29T11:00:00+01:00","weather_total_clouds":55.0,"weather_low_clouds":55.0,"weather_medium_clouds":3.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4778958949265872,"weather_wind_speed":3.21868,"weather_wind_direction":21.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":8.0,"weather_dew_point":5.0,"weather_relative_humidity":87.0,"weather_pressure":1027.0,"weather_ozone":270.0,"weather_ghi":235.75414650599038,"weather_dni":134.5337411353272,"weather_dhi":179.3244414274437},{"settings":null,"date_time":"2024-10-29T12:00:00+01:00","weather_total_clouds":60.0,"weather_low_clouds":60.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4948832040636744,"weather_wind_speed":3.21868,"weather_wind_direction":30.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":8.0,"weather_dew_point":5.0,"weather_relative_humidity":88.0,"weather_pressure":1027.0,"weather_ozone":269.0,"weather_ghi":240.6386824478546,"weather_dni":112.059522488405,"weather_dhi":190.9848863166572},{"settings":null,"date_time":"2024-10-29T13:00:00+01:00","weather_total_clouds":65.0,"weather_low_clouds":65.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4778958949265872,"weather_wind_speed":1.60934,"weather_wind_direction":35.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":8.0,"weather_dew_point":5.0,"weather_relative_humidity":87.0,"weather_pressure":1027.0,"weather_ozone":268.0,"weather_ghi":215.0933621364948,"weather_dni":85.14270192553062,"weather_dhi":178.97604653527245},{"settings":null,"date_time":"2024-10-29T14:00:00+01:00","weather_total_clouds":65.0,"weather_low_clouds":65.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4778958949265872,"weather_wind_speed":3.21868,"weather_wind_direction":20.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":7.0,"weather_dew_point":5.0,"weather_relative_humidity":87.0,"weather_pressure":1028.0,"weather_ozone":268.0,"weather_ghi":174.96779393206455,"weather_dni":72.88818888209877,"weather_dhi":148.4354528733777},{"settings":null,"date_time":"2024-10-29T15:00:00+01:00","weather_total_clouds":70.0,"weather_low_clouds":70.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4778958949265872,"weather_wind_speed":3.21868,"weather_wind_direction":24.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":7.0,"weather_dew_point":5.0,"weather_relative_humidity":87.0,"weather_pressure":1028.0,"weather_ozone":269.0,"weather_ghi":105.66712376589224,"weather_dni":25.248311470161077,"weather_dhi":98.93472971852331},{"settings":null,"date_time":"2024-10-29T16:00:00+01:00","weather_total_clouds":75.0,"weather_low_clouds":75.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4778958949265872,"weather_wind_speed":3.21868,"weather_wind_direction":23.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":7.0,"weather_dew_point":5.0,"weather_relative_humidity":87.0,"weather_pressure":1028.0,"weather_ozone":269.0,"weather_ghi":33.61500589157371,"weather_dni":0.0,"weather_dhi":33.61500589157371},{"settings":null,"date_time":"2024-10-29T17:00:00+01:00","weather_total_clouds":75.0,"weather_low_clouds":75.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4439212766524128,"weather_wind_speed":3.21868,"weather_wind_direction":39.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":8.0,"weather_dew_point":5.0,"weather_relative_humidity":85.0,"weather_pressure":1028.0,"weather_ozone":269.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T18:00:00+01:00","weather_total_clouds":75.0,"weather_low_clouds":75.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.3897243832564443,"weather_wind_speed":1.60934,"weather_wind_direction":91.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":9.0,"weather_dew_point":4.0,"weather_relative_humidity":77.0,"weather_pressure":1028.0,"weather_ozone":271.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T19:00:00+01:00","weather_total_clouds":71.0,"weather_low_clouds":71.0,"weather_medium_clouds":0.0,"weather_high_clouds":1.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.3425388776569445,"weather_wind_speed":3.21868,"weather_wind_direction":91.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":4.0,"weather_relative_humidity":70.0,"weather_pressure":1028.0,"weather_ozone":272.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T20:00:00+01:00","weather_total_clouds":66.0,"weather_low_clouds":66.0,"weather_medium_clouds":0.0,"weather_high_clouds":2.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.3452903793620261,"weather_wind_speed":1.60934,"weather_wind_direction":82.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":11.0,"weather_dew_point":4.0,"weather_relative_humidity":66.0,"weather_pressure":1028.0,"weather_ozone":272.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T21:00:00+01:00","weather_total_clouds":67.0,"weather_low_clouds":67.0,"weather_medium_clouds":0.0,"weather_high_clouds":3.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.343185622438013,"weather_wind_speed":1.60934,"weather_wind_direction":104.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":12.0,"weather_dew_point":4.0,"weather_relative_humidity":62.0,"weather_pressure":1027.0,"weather_ozone":271.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T22:00:00+01:00","weather_total_clouds":76.0,"weather_low_clouds":76.0,"weather_medium_clouds":0.0,"weather_high_clouds":2.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.2998570539722707,"weather_wind_speed":0.0,"weather_wind_direction":98.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":13.0,"weather_dew_point":4.0,"weather_relative_humidity":60.0,"weather_pressure":1026.0,"weather_ozone":270.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-29T23:00:00+01:00","weather_total_clouds":75.0,"weather_low_clouds":75.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.2565284855065282,"weather_wind_speed":1.60934,"weather_wind_direction":36.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":13.0,"weather_dew_point":4.0,"weather_relative_humidity":58.0,"weather_pressure":1026.0,"weather_ozone":270.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T00:00:00+01:00","weather_total_clouds":81.0,"weather_low_clouds":81.0,"weather_medium_clouds":0.0,"weather_high_clouds":2.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.3585507757316646,"weather_wind_speed":1.60934,"weather_wind_direction":55.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":13.0,"weather_dew_point":4.0,"weather_relative_humidity":59.0,"weather_pressure":1026.0,"weather_ozone":270.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T01:00:00+01:00","weather_total_clouds":86.0,"weather_low_clouds":85.0,"weather_medium_clouds":0.0,"weather_high_clouds":2.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4515070436023687,"weather_wind_speed":1.60934,"weather_wind_direction":63.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":13.0,"weather_dew_point":6.0,"weather_relative_humidity":67.0,"weather_pressure":1026.0,"weather_ozone":269.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T02:00:00+01:00","weather_total_clouds":85.0,"weather_low_clouds":85.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5381641805338535,"weather_wind_speed":1.60934,"weather_wind_direction":43.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":12.0,"weather_dew_point":6.0,"weather_relative_humidity":71.0,"weather_pressure":1026.0,"weather_ozone":268.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T03:00:00+01:00","weather_total_clouds":85.0,"weather_low_clouds":80.0,"weather_medium_clouds":0.0,"weather_high_clouds":0.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4879726923246652,"weather_wind_speed":1.60934,"weather_wind_direction":17.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":12.0,"weather_dew_point":6.0,"weather_relative_humidity":73.0,"weather_pressure":1026.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T04:00:00+01:00","weather_total_clouds":80.0,"weather_low_clouds":80.0,"weather_medium_clouds":0.0,"weather_high_clouds":1.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.549122255022939,"weather_wind_speed":3.21868,"weather_wind_direction":4.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":11.0,"weather_dew_point":6.0,"weather_relative_humidity":76.0,"weather_pressure":1026.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T05:00:00+01:00","weather_total_clouds":80.0,"weather_low_clouds":80.0,"weather_medium_clouds":0.0,"weather_high_clouds":1.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5695054425890302,"weather_wind_speed":3.21868,"weather_wind_direction":12.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":11.0,"weather_dew_point":6.0,"weather_relative_humidity":77.0,"weather_pressure":1026.0,"weather_ozone":265.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T06:00:00+01:00","weather_total_clouds":86.0,"weather_low_clouds":75.0,"weather_medium_clouds":0.0,"weather_high_clouds":12.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5898886301551218,"weather_wind_speed":1.60934,"weather_wind_direction":343.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":11.0,"weather_dew_point":6.0,"weather_relative_humidity":78.0,"weather_pressure":1026.0,"weather_ozone":265.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T07:00:00+01:00","weather_total_clouds":87.0,"weather_low_clouds":75.0,"weather_medium_clouds":0.0,"weather_high_clouds":11.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5343301458936507,"weather_wind_speed":3.21868,"weather_wind_direction":356.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":80.0,"weather_pressure":1027.0,"weather_ozone":266.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T08:00:00+01:00","weather_total_clouds":77.0,"weather_low_clouds":75.0,"weather_medium_clouds":0.0,"weather_high_clouds":2.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5535092727173214,"weather_wind_speed":1.60934,"weather_wind_direction":340.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":6.0,"weather_relative_humidity":81.0,"weather_pressure":1026.0,"weather_ozone":265.0,"weather_ghi":24.39407580071359,"weather_dni":0.0,"weather_dhi":24.39407580071359},{"settings":null,"date_time":"2024-10-30T09:00:00+01:00","weather_total_clouds":82.0,"weather_low_clouds":65.0,"weather_medium_clouds":0.0,"weather_high_clouds":7.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6110466531883332,"weather_wind_speed":1.60934,"weather_wind_direction":326.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":7.0,"weather_relative_humidity":84.0,"weather_pressure":1026.0,"weather_ozone":264.0,"weather_ghi":81.72107243794659,"weather_dni":0.0,"weather_dhi":81.72107243794659},{"settings":null,"date_time":"2024-10-30T10:00:00+01:00","weather_total_clouds":77.0,"weather_low_clouds":69.0,"weather_medium_clouds":0.0,"weather_high_clouds":3.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6110466531883332,"weather_wind_speed":1.60934,"weather_wind_direction":357.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":84.0,"weather_pressure":1027.0,"weather_ozone":264.0,"weather_ghi":143.4523552530145,"weather_dni":28.88178203347301,"weather_dhi":133.34602427955488},{"settings":null,"date_time":"2024-10-30T11:00:00+01:00","weather_total_clouds":78.0,"weather_low_clouds":67.0,"weather_medium_clouds":0.0,"weather_high_clouds":1.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.630225780012004,"weather_wind_speed":1.60934,"weather_wind_direction":4.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":7.0,"weather_relative_humidity":85.0,"weather_pressure":1027.0,"weather_ozone":265.0,"weather_ghi":178.18126933818536,"weather_dni":36.65645683401855,"weather_dhi":162.99109440340402},{"settings":null,"date_time":"2024-10-30T12:00:00+01:00","weather_total_clouds":80.0,"weather_low_clouds":70.0,"weather_medium_clouds":0.0,"weather_high_clouds":4.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.630225780012004,"weather_wind_speed":1.60934,"weather_wind_direction":5.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":10.0,"weather_dew_point":6.0,"weather_relative_humidity":85.0,"weather_pressure":1027.0,"weather_ozone":265.0,"weather_ghi":186.66663541371625,"weather_dni":33.886751449024075,"weather_dhi":171.82490083413626},{"settings":null,"date_time":"2024-10-30T13:00:00+01:00","weather_total_clouds":91.0,"weather_low_clouds":72.0,"weather_medium_clouds":0.0,"weather_high_clouds":12.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.630225780012004,"weather_wind_speed":1.60934,"weather_wind_direction":298.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":85.0,"weather_pressure":1027.0,"weather_ozone":264.0,"weather_ghi":149.86056293042557,"weather_dni":7.357276479137598,"weather_dhi":146.77736021266136},{"settings":null,"date_time":"2024-10-30T14:00:00+01:00","weather_total_clouds":94.0,"weather_low_clouds":73.0,"weather_medium_clouds":0.0,"weather_high_clouds":14.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.668584033659345,"weather_wind_speed":1.60934,"weather_wind_direction":334.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":7.0,"weather_relative_humidity":87.0,"weather_pressure":1027.0,"weather_ozone":264.0,"weather_ghi":115.72233545348959,"weather_dni":0.0,"weather_dhi":115.72233545348959},{"settings":null,"date_time":"2024-10-30T15:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":65.0,"weather_medium_clouds":0.0,"weather_high_clouds":20.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5341113321662052,"weather_wind_speed":1.60934,"weather_wind_direction":58.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":8.0,"weather_dew_point":6.0,"weather_relative_humidity":85.0,"weather_pressure":1027.0,"weather_ozone":265.0,"weather_ghi":66.05384442265539,"weather_dni":0.0,"weather_dhi":66.05384442265539},{"settings":null,"date_time":"2024-10-30T16:00:00+01:00","weather_total_clouds":97.0,"weather_low_clouds":55.0,"weather_medium_clouds":61.0,"weather_high_clouds":12.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5702080693936449,"weather_wind_speed":1.60934,"weather_wind_direction":359.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":7.0,"weather_dew_point":6.0,"weather_relative_humidity":87.0,"weather_pressure":1027.0,"weather_ozone":266.0,"weather_ghi":22.754879125735318,"weather_dni":0.0,"weather_dhi":22.754879125735318},{"settings":null,"date_time":"2024-10-30T17:00:00+01:00","weather_total_clouds":91.0,"weather_low_clouds":55.0,"weather_medium_clouds":68.0,"weather_high_clouds":19.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4799662263250446,"weather_wind_speed":1.60934,"weather_wind_direction":358.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":6.0,"weather_dew_point":5.0,"weather_relative_humidity":82.0,"weather_pressure":1028.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T18:00:00+01:00","weather_total_clouds":83.0,"weather_low_clouds":60.0,"weather_medium_clouds":71.0,"weather_high_clouds":26.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4767927654226385,"weather_wind_speed":0.0,"weather_wind_direction":353.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":7.0,"weather_dew_point":5.0,"weather_relative_humidity":77.0,"weather_pressure":1028.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T19:00:00+01:00","weather_total_clouds":79.0,"weather_low_clouds":55.0,"weather_medium_clouds":42.0,"weather_high_clouds":18.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4879726923246652,"weather_wind_speed":0.0,"weather_wind_direction":306.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":6.0,"weather_dew_point":5.0,"weather_relative_humidity":73.0,"weather_pressure":1028.0,"weather_ozone":268.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T20:00:00+01:00","weather_total_clouds":74.0,"weather_low_clouds":55.0,"weather_medium_clouds":19.0,"weather_high_clouds":9.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5381641805338535,"weather_wind_speed":1.60934,"weather_wind_direction":170.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":7.0,"weather_dew_point":6.0,"weather_relative_humidity":71.0,"weather_pressure":1028.0,"weather_ozone":268.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T21:00:00+01:00","weather_total_clouds":70.0,"weather_low_clouds":54.0,"weather_medium_clouds":0.0,"weather_high_clouds":1.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5197347660727096,"weather_wind_speed":3.21868,"weather_wind_direction":166.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":8.0,"weather_dew_point":6.0,"weather_relative_humidity":66.0,"weather_pressure":1027.0,"weather_ozone":268.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T22:00:00+01:00","weather_total_clouds":57.0,"weather_low_clouds":44.0,"weather_medium_clouds":0.0,"weather_high_clouds":6.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5662844272112115,"weather_wind_speed":4.82802,"weather_wind_direction":165.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":9.0,"weather_dew_point":7.0,"weather_relative_humidity":64.0,"weather_pressure":1027.0,"weather_ozone":268.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-30T23:00:00+01:00","weather_total_clouds":42.0,"weather_low_clouds":31.0,"weather_medium_clouds":0.0,"weather_high_clouds":10.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6152308155615618,"weather_wind_speed":3.21868,"weather_wind_direction":170.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":15.0,"weather_dew_point":7.0,"weather_relative_humidity":66.0,"weather_pressure":1027.0,"weather_ozone":268.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T00:00:00+01:00","weather_total_clouds":29.0,"weather_low_clouds":18.0,"weather_medium_clouds":0.0,"weather_high_clouds":16.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6886503980870873,"weather_wind_speed":3.21868,"weather_wind_direction":175.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":15.0,"weather_dew_point":8.0,"weather_relative_humidity":69.0,"weather_pressure":1026.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T01:00:00+01:00","weather_total_clouds":39.0,"weather_low_clouds":23.0,"weather_medium_clouds":0.0,"weather_high_clouds":24.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7375967864374373,"weather_wind_speed":3.21868,"weather_wind_direction":180.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":15.0,"weather_dew_point":8.0,"weather_relative_humidity":71.0,"weather_pressure":1026.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T02:00:00+01:00","weather_total_clouds":52.0,"weather_low_clouds":28.0,"weather_medium_clouds":0.0,"weather_high_clouds":35.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7269713250826249,"weather_wind_speed":3.21868,"weather_wind_direction":200.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":15.0,"weather_dew_point":8.0,"weather_relative_humidity":75.0,"weather_pressure":1026.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T03:00:00+01:00","weather_total_clouds":64.0,"weather_low_clouds":33.0,"weather_medium_clouds":0.0,"weather_high_clouds":50.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6681498859310804,"weather_wind_speed":1.60934,"weather_wind_direction":226.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":14.0,"weather_dew_point":7.0,"weather_relative_humidity":77.0,"weather_pressure":1026.0,"weather_ozone":266.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T04:00:00+01:00","weather_total_clouds":77.0,"weather_low_clouds":47.0,"weather_medium_clouds":0.0,"weather_high_clouds":53.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.651038192853396,"weather_wind_speed":3.21868,"weather_wind_direction":249.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":14.0,"weather_dew_point":7.0,"weather_relative_humidity":81.0,"weather_pressure":1026.0,"weather_ozone":266.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T05:00:00+01:00","weather_total_clouds":87.0,"weather_low_clouds":53.0,"weather_medium_clouds":0.0,"weather_high_clouds":57.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5726883995409917,"weather_wind_speed":1.60934,"weather_wind_direction":254.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":8.0,"weather_dew_point":7.0,"weather_relative_humidity":82.0,"weather_pressure":1026.0,"weather_ozone":266.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T06:00:00+01:00","weather_total_clouds":97.0,"weather_low_clouds":55.0,"weather_medium_clouds":0.0,"weather_high_clouds":55.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.630225780012004,"weather_wind_speed":1.60934,"weather_wind_direction":260.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":7.0,"weather_relative_humidity":85.0,"weather_pressure":1026.0,"weather_ozone":265.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T07:00:00+01:00","weather_total_clouds":90.0,"weather_low_clouds":50.0,"weather_medium_clouds":0.0,"weather_high_clouds":39.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5702080693936449,"weather_wind_speed":1.60934,"weather_wind_direction":266.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":8.0,"weather_dew_point":6.0,"weather_relative_humidity":87.0,"weather_pressure":1026.0,"weather_ozone":265.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T08:00:00+01:00","weather_total_clouds":85.0,"weather_low_clouds":45.0,"weather_medium_clouds":0.0,"weather_high_clouds":23.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5702080693936449,"weather_wind_speed":1.60934,"weather_wind_direction":260.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":8.0,"weather_dew_point":6.0,"weather_relative_humidity":87.0,"weather_pressure":1026.0,"weather_ozone":264.0,"weather_ghi":20.310729263115775,"weather_dni":0.0,"weather_dhi":20.310729263115775},{"settings":null,"date_time":"2024-10-31T09:00:00+01:00","weather_total_clouds":87.0,"weather_low_clouds":45.0,"weather_medium_clouds":0.0,"weather_high_clouds":6.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.588256438007365,"weather_wind_speed":1.60934,"weather_wind_direction":254.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":8.0,"weather_dew_point":6.0,"weather_relative_humidity":88.0,"weather_pressure":1025.0,"weather_ozone":263.0,"weather_ghi":73.92340390183232,"weather_dni":0.0,"weather_dhi":73.92340390183232},{"settings":null,"date_time":"2024-10-31T10:00:00+01:00","weather_total_clouds":88.0,"weather_low_clouds":45.0,"weather_medium_clouds":0.0,"weather_high_clouds":10.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6243531752348053,"weather_wind_speed":1.60934,"weather_wind_direction":249.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":8.0,"weather_dew_point":6.0,"weather_relative_humidity":90.0,"weather_pressure":1025.0,"weather_ozone":262.0,"weather_ghi":120.6586917372673,"weather_dni":2.628397979396709,"weather_dhi":119.75184883343829},{"settings":null,"date_time":"2024-10-31T11:00:00+01:00","weather_total_clouds":93.0,"weather_low_clouds":55.0,"weather_medium_clouds":0.0,"weather_high_clouds":13.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6424015438485253,"weather_wind_speed":1.60934,"weather_wind_direction":255.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":91.0,"weather_pressure":1025.0,"weather_ozone":262.0,"weather_ghi":140.77839703816576,"weather_dni":2.9287444526027806,"weather_dhi":139.57944579637896},{"settings":null,"date_time":"2024-10-31T12:00:00+01:00","weather_total_clouds":94.0,"weather_low_clouds":60.0,"weather_medium_clouds":0.0,"weather_high_clouds":14.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6243531752348053,"weather_wind_speed":1.60934,"weather_wind_direction":260.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":90.0,"weather_pressure":1024.0,"weather_ozone":262.0,"weather_ghi":149.11769207447543,"weather_dni":3.9429270196712802,"weather_dhi":147.41078899053534},{"settings":null,"date_time":"2024-10-31T13:00:00+01:00","weather_total_clouds":89.0,"weather_low_clouds":60.0,"weather_medium_clouds":0.0,"weather_high_clouds":10.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6424015438485253,"weather_wind_speed":3.21868,"weather_wind_direction":263.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":8.0,"weather_dew_point":6.0,"weather_relative_humidity":91.0,"weather_pressure":1024.0,"weather_ozone":262.0,"weather_ghi":152.29443034799195,"weather_dni":10.493384086644351,"weather_dhi":147.95024302467584},{"settings":null,"date_time":"2024-10-31T14:00:00+01:00","weather_total_clouds":80.0,"weather_low_clouds":65.0,"weather_medium_clouds":0.0,"weather_high_clouds":7.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6424015438485253,"weather_wind_speed":3.21868,"weather_wind_direction":260.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":91.0,"weather_pressure":1024.0,"weather_ozone":262.0,"weather_ghi":140.1947733974845,"weather_dni":21.778403520062422,"weather_dhi":132.48680235776175},{"settings":null,"date_time":"2024-10-31T15:00:00+01:00","weather_total_clouds":78.0,"weather_low_clouds":65.0,"weather_medium_clouds":0.0,"weather_high_clouds":3.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5798197497491104,"weather_wind_speed":3.21868,"weather_wind_direction":256.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":93.0,"weather_pressure":1023.0,"weather_ozone":261.0,"weather_ghi":90.54286763470078,"weather_dni":2.2938788371302268,"weather_dhi":89.9538167953567},{"settings":null,"date_time":"2024-10-31T16:00:00+01:00","weather_total_clouds":77.0,"weather_low_clouds":60.0,"weather_medium_clouds":0.0,"weather_high_clouds":6.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.545845131474936,"weather_wind_speed":3.21868,"weather_wind_direction":254.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":91.0,"weather_pressure":1023.0,"weather_ozone":261.0,"weather_ghi":28.828106749924864,"weather_dni":0.0,"weather_dhi":28.828106749924864},{"settings":null,"date_time":"2024-10-31T17:00:00+01:00","weather_total_clouds":80.0,"weather_low_clouds":55.0,"weather_medium_clouds":0.0,"weather_high_clouds":8.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.5702080693936449,"weather_wind_speed":4.82802,"weather_wind_direction":255.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":8.0,"weather_dew_point":6.0,"weather_relative_humidity":87.0,"weather_pressure":1023.0,"weather_ozone":262.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T18:00:00+01:00","weather_total_clouds":84.0,"weather_low_clouds":40.0,"weather_medium_clouds":0.0,"weather_high_clouds":9.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6110466531883332,"weather_wind_speed":6.43736,"weather_wind_direction":255.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":7.0,"weather_dew_point":6.0,"weather_relative_humidity":84.0,"weather_pressure":1022.0,"weather_ozone":262.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T19:00:00+01:00","weather_total_clouds":82.0,"weather_low_clouds":38.0,"weather_medium_clouds":0.0,"weather_high_clouds":5.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6306550052873046,"weather_wind_speed":8.0467,"weather_wind_direction":256.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":7.0,"weather_dew_point":6.0,"weather_relative_humidity":80.0,"weather_pressure":1022.0,"weather_ozone":262.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T20:00:00+01:00","weather_total_clouds":81.0,"weather_low_clouds":42.0,"weather_medium_clouds":0.0,"weather_high_clouds":4.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6464856016982095,"weather_wind_speed":8.0467,"weather_wind_direction":268.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":8.0,"weather_dew_point":7.0,"weather_relative_humidity":76.0,"weather_pressure":1022.0,"weather_ozone":262.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T21:00:00+01:00","weather_total_clouds":79.0,"weather_low_clouds":45.0,"weather_medium_clouds":0.0,"weather_high_clouds":5.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6578924720793193,"weather_wind_speed":11.26538,"weather_wind_direction":276.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":8.0,"weather_dew_point":7.0,"weather_relative_humidity":72.0,"weather_pressure":1021.0,"weather_ozone":263.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T22:00:00+01:00","weather_total_clouds":71.0,"weather_low_clouds":42.0,"weather_medium_clouds":0.0,"weather_high_clouds":6.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7131235922622625,"weather_wind_speed":12.87472,"weather_wind_direction":282.0,"weather_frost_chance":"","weather_temp_air":13.0,"weather_feels_like":8.0,"weather_dew_point":7.0,"weather_relative_humidity":70.0,"weather_pressure":1020.0,"weather_ozone":263.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-10-31T23:00:00+01:00","weather_total_clouds":62.0,"weather_low_clouds":46.0,"weather_medium_clouds":0.0,"weather_high_clouds":5.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6578924720793193,"weather_wind_speed":12.87472,"weather_wind_direction":282.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":12.0,"weather_dew_point":8.0,"weather_relative_humidity":72.0,"weather_pressure":1020.0,"weather_ozone":262.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T00:00:00+01:00","weather_total_clouds":54.0,"weather_low_clouds":46.0,"weather_medium_clouds":0.0,"weather_high_clouds":5.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7269713250826249,"weather_wind_speed":12.87472,"weather_wind_direction":282.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":12.0,"weather_dew_point":8.0,"weather_relative_humidity":75.0,"weather_pressure":1020.0,"weather_ozone":262.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T01:00:00+01:00","weather_total_clouds":63.0,"weather_low_clouds":58.0,"weather_medium_clouds":0.0,"weather_high_clouds":7.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":3.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7499976094170597,"weather_wind_speed":12.87472,"weather_wind_direction":283.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":11.0,"weather_dew_point":8.0,"weather_relative_humidity":76.0,"weather_pressure":1019.0,"weather_ozone":261.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T02:00:00+01:00","weather_total_clouds":73.0,"weather_low_clouds":70.0,"weather_medium_clouds":0.0,"weather_high_clouds":8.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":7.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8190764624203646,"weather_wind_speed":12.87472,"weather_wind_direction":282.0,"weather_frost_chance":"","weather_temp_air":12.0,"weather_feels_like":12.0,"weather_dew_point":8.0,"weather_relative_humidity":79.0,"weather_pressure":1019.0,"weather_ozone":262.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T03:00:00+01:00","weather_total_clouds":83.0,"weather_low_clouds":81.0,"weather_medium_clouds":0.0,"weather_high_clouds":8.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":11.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7981355913283075,"weather_wind_speed":12.87472,"weather_wind_direction":282.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":11.0,"weather_dew_point":8.0,"weather_relative_humidity":83.0,"weather_pressure":1020.0,"weather_ozone":263.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T04:00:00+01:00","weather_total_clouds":89.0,"weather_low_clouds":87.0,"weather_medium_clouds":12.0,"weather_high_clouds":16.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":20.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.8414641597940502,"weather_wind_speed":12.87472,"weather_wind_direction":281.0,"weather_frost_chance":"","weather_temp_air":11.0,"weather_feels_like":11.0,"weather_dew_point":8.0,"weather_relative_humidity":85.0,"weather_pressure":1020.0,"weather_ozone":263.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T05:00:00+01:00","weather_total_clouds":95.0,"weather_low_clouds":94.0,"weather_medium_clouds":24.0,"weather_high_clouds":25.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":23.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.7121877555516696,"weather_wind_speed":12.87472,"weather_wind_direction":312.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":9.0,"weather_dew_point":8.0,"weather_relative_humidity":84.0,"weather_pressure":1020.0,"weather_ozone":265.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T06:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":100.0,"weather_medium_clouds":35.0,"weather_high_clouds":36.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":25.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.6306550052873046,"weather_wind_speed":16.0934,"weather_wind_direction":336.0,"weather_frost_chance":"","weather_temp_air":10.0,"weather_feels_like":8.0,"weather_dew_point":7.0,"weather_relative_humidity":80.0,"weather_pressure":1021.0,"weather_ozone":267.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T07:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":94.0,"weather_medium_clouds":42.0,"weather_high_clouds":58.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":26.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4959718922463094,"weather_wind_speed":19.31208,"weather_wind_direction":350.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":6.0,"weather_relative_humidity":78.0,"weather_pressure":1021.0,"weather_ozone":269.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T08:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":88.0,"weather_medium_clouds":48.0,"weather_high_clouds":79.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":26.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.4576136385989682,"weather_wind_speed":19.31208,"weather_wind_direction":348.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":5.0,"weather_relative_humidity":76.0,"weather_pressure":1021.0,"weather_ozone":274.0,"weather_ghi":14.712237798164347,"weather_dni":0.0,"weather_dhi":14.712237798164347},{"settings":null,"date_time":"2024-11-01T09:00:00+01:00","weather_total_clouds":100.0,"weather_low_clouds":82.0,"weather_medium_clouds":51.0,"weather_high_clouds":100.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":21.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.400076258127956,"weather_wind_speed":17.70274,"weather_wind_direction":346.0,"weather_frost_chance":"","weather_temp_air":9.0,"weather_feels_like":9.0,"weather_dew_point":4.0,"weather_relative_humidity":73.0,"weather_pressure":1022.0,"weather_ozone":279.0,"weather_ghi":57.8606202914984,"weather_dni":0.0,"weather_dhi":57.8606202914984},{"settings":null,"date_time":"2024-11-01T10:00:00+01:00","weather_total_clouds":94.0,"weather_low_clouds":75.0,"weather_medium_clouds":54.0,"weather_high_clouds":89.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":20.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.245337434346684,"weather_wind_speed":16.0934,"weather_wind_direction":343.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":9.0,"weather_dew_point":3.0,"weather_relative_humidity":69.0,"weather_pressure":1022.0,"weather_ozone":284.0,"weather_ghi":107.6240719627466,"weather_dni":0.0,"weather_dhi":107.6240719627466},{"settings":null,"date_time":"2024-11-01T11:00:00+01:00","weather_total_clouds":87.0,"weather_low_clouds":75.0,"weather_medium_clouds":57.0,"weather_high_clouds":78.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":18.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.317530908801564,"weather_wind_speed":12.87472,"weather_wind_direction":340.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":4.0,"weather_dew_point":3.0,"weather_relative_humidity":73.0,"weather_pressure":1022.0,"weather_ozone":290.0,"weather_ghi":152.30068268823172,"weather_dni":13.368105894268801,"weather_dhi":146.89473242568272},{"settings":null,"date_time":"2024-11-01T12:00:00+01:00","weather_total_clouds":72.0,"weather_low_clouds":72.0,"weather_medium_clouds":65.0,"weather_high_clouds":67.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":14.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.3355792774152844,"weather_wind_speed":12.87472,"weather_wind_direction":335.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":5.0,"weather_dew_point":4.0,"weather_relative_humidity":74.0,"weather_pressure":1023.0,"weather_ozone":296.0,"weather_ghi":201.00774288780934,"weather_dni":58.23506241117525,"weather_dhi":176.09066449678588},{"settings":null,"date_time":"2024-11-01T13:00:00+01:00","weather_total_clouds":53.0,"weather_low_clouds":53.0,"weather_medium_clouds":43.0,"weather_high_clouds":48.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":15.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.3897243832564443,"weather_wind_speed":12.87472,"weather_wind_direction":330.0,"weather_frost_chance":"","weather_temp_air":8.0,"weather_feels_like":5.0,"weather_dew_point":4.0,"weather_relative_humidity":77.0,"weather_pressure":1023.0,"weather_ozone":302.0,"weather_ghi":233.25181747129466,"weather_dni":144.62089993408358,"weather_dhi":174.10571374652284},{"settings":null,"date_time":"2024-11-01T14:00:00+01:00","weather_total_clouds":37.0,"weather_low_clouds":37.0,"weather_medium_clouds":23.0,"weather_high_clouds":26.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":15.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.2154277065935213,"weather_wind_speed":12.87472,"weather_wind_direction":322.0,"weather_frost_chance":"","weather_temp_air":6.0,"weather_feels_like":4.0,"weather_dew_point":3.0,"weather_relative_humidity":76.0,"weather_pressure":1024.0,"weather_ozone":303.0,"weather_ghi":217.77493044885082,"weather_dni":226.94401107591887,"weather_dhi":138.575736772001},{"settings":null,"date_time":"2024-11-01T15:00:00+01:00","weather_total_clouds":22.0,"weather_low_clouds":22.0,"weather_medium_clouds":0.0,"weather_high_clouds":4.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":8.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.1747184650760765,"weather_wind_speed":11.26538,"weather_wind_direction":312.0,"weather_frost_chance":"","weather_temp_air":5.0,"weather_feels_like":4.0,"weather_dew_point":2.0,"weather_relative_humidity":78.0,"weather_pressure":1025.0,"weather_ozone":304.0,"weather_ghi":153.13071128111537,"weather_dni":242.75120035575452,"weather_dhi":91.96317400744846},{"settings":null,"date_time":"2024-11-01T16:00:00+01:00","weather_total_clouds":25.0,"weather_low_clouds":25.0,"weather_medium_clouds":0.0,"weather_high_clouds":3.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":6.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.0924866717618051,"weather_wind_speed":11.26538,"weather_wind_direction":299.0,"weather_frost_chance":"","weather_temp_air":4.0,"weather_feels_like":3.0,"weather_dew_point":1.0,"weather_relative_humidity":77.0,"weather_pressure":1025.0,"weather_ozone":305.0,"weather_ghi":45.213185507022175,"weather_dni":19.15343405988808,"weather_dhi":42.82738118261965},{"settings":null,"date_time":"2024-11-01T17:00:00+01:00","weather_total_clouds":28.0,"weather_low_clouds":28.0,"weather_medium_clouds":1.0,"weather_high_clouds":3.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":4.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.0843555062240706,"weather_wind_speed":11.26538,"weather_wind_direction":314.0,"weather_frost_chance":"","weather_temp_air":5.0,"weather_feels_like":2.0,"weather_dew_point":0.0,"weather_relative_humidity":72.0,"weather_pressure":1026.0,"weather_ozone":309.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T18:00:00+01:00","weather_total_clouds":33.0,"weather_low_clouds":33.0,"weather_medium_clouds":1.0,"weather_high_clouds":2.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.009053040514066,"weather_wind_speed":11.26538,"weather_wind_direction":327.0,"weather_frost_chance":"","weather_temp_air":5.0,"weather_feels_like":2.0,"weather_dew_point":-0.0,"weather_relative_humidity":67.0,"weather_pressure":1026.0,"weather_ozone":313.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T19:00:00+01:00","weather_total_clouds":47.0,"weather_low_clouds":47.0,"weather_medium_clouds":9.0,"weather_high_clouds":3.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":2.0,"weather_precip_amt":0.0,"weather_preciptable_water":1.0075255988867347,"weather_wind_speed":12.87472,"weather_wind_direction":336.0,"weather_frost_chance":"","weather_temp_air":6.0,"weather_feels_like":3.0,"weather_dew_point":-1.0,"weather_relative_humidity":63.0,"weather_pressure":1027.0,"weather_ozone":317.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T20:00:00+01:00","weather_total_clouds":62.0,"weather_low_clouds":62.0,"weather_medium_clouds":20.0,"weather_high_clouds":4.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":1.0,"weather_precip_amt":0.0,"weather_preciptable_water":0.9852639299510582,"weather_wind_speed":12.87472,"weather_wind_direction":341.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":3.0,"weather_dew_point":-1.0,"weather_relative_humidity":58.0,"weather_pressure":1027.0,"weather_ozone":319.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0},{"settings":null,"date_time":"2024-11-01T21:00:00+01:00","weather_total_clouds":77.0,"weather_low_clouds":73.0,"weather_medium_clouds":29.0,"weather_high_clouds":6.0,"weather_visibility":14484.06,"weather_fog":100.0,"weather_precip_type":"None","weather_precip_prob":0.0,"weather_precip_amt":0.0,"weather_preciptable_water":0.9173146934027093,"weather_wind_speed":14.48406,"weather_wind_direction":344.0,"weather_frost_chance":"","weather_temp_air":7.0,"weather_feels_like":3.0,"weather_dew_point":-2.0,"weather_relative_humidity":54.0,"weather_pressure":1027.0,"weather_ozone":322.0,"weather_ghi":0.0,"weather_dni":0.0,"weather_dhi":0.0}],"start_datetime":"2024-11-10T23:42:11.946405+01:00","record_keys":["settings","date_time","weather_total_clouds","weather_low_clouds","weather_medium_clouds","weather_high_clouds","weather_visibility","weather_fog","weather_precip_type","weather_precip_prob","weather_precip_amt","weather_preciptable_water","weather_wind_speed","weather_wind_direction","weather_frost_chance","weather_temp_air","weather_feels_like","weather_dew_point","weather_relative_humidity","weather_pressure","weather_ozone","weather_ghi","weather_dni","weather_dhi"],"end_datetime":"2024-11-12T23:42:11.946405+01:00","keep_datetime":"2024-11-08T23:42:11.946405+01:00"}
\ No newline at end of file

From 414c709e597928d8af3a2bfc1380040986df88ee Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Sat, 16 Nov 2024 09:45:06 +0100
Subject: [PATCH 10/19] Add electricity price forecast to prediction submodule.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/prediction/elecprice.py     |  11 ++
 src/akkudoktoreos/prediction/elecpriceabc.py  |  62 +++++++
 .../prediction/elecpriceakkudoktor.py         | 160 ++++++++++++++++++
 .../prediction/elecpriceimport.py             |  68 ++++++++
 .../prediction/price_forecast.py              | 143 ----------------
 tests/test_elecpriceimport.py                 | 110 ++++++++++++
 6 files changed, 411 insertions(+), 143 deletions(-)
 create mode 100644 src/akkudoktoreos/prediction/elecprice.py
 create mode 100644 src/akkudoktoreos/prediction/elecpriceabc.py
 create mode 100644 src/akkudoktoreos/prediction/elecpriceakkudoktor.py
 create mode 100644 src/akkudoktoreos/prediction/elecpriceimport.py
 delete mode 100644 src/akkudoktoreos/prediction/price_forecast.py
 create mode 100644 tests/test_elecpriceimport.py

diff --git a/src/akkudoktoreos/prediction/elecprice.py b/src/akkudoktoreos/prediction/elecprice.py
new file mode 100644
index 0000000..7256f0b
--- /dev/null
+++ b/src/akkudoktoreos/prediction/elecprice.py
@@ -0,0 +1,11 @@
+from typing import Optional
+
+from pydantic import Field
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+
+
+class ElecPriceCommonSettings(SettingsBaseModel):
+    elecprice_provider: Optional[str] = Field(
+        "ElecPriceAkkudoktor", description="Electicity price provider id of provider to be used."
+    )
diff --git a/src/akkudoktoreos/prediction/elecpriceabc.py b/src/akkudoktoreos/prediction/elecpriceabc.py
new file mode 100644
index 0000000..7528b3e
--- /dev/null
+++ b/src/akkudoktoreos/prediction/elecpriceabc.py
@@ -0,0 +1,62 @@
+"""Abstract and base classes for electricity price predictions.
+
+Notes:
+    - Ensure appropriate API keys or configurations are set up if required by external data sources.
+"""
+
+from abc import abstractmethod
+from typing import List, Optional
+
+from pydantic import Field
+
+from akkudoktoreos.prediction.predictionabc import PredictionProvider, PredictionRecord
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class ElecPriceDataRecord(PredictionRecord):
+    """Represents a electricity price data record containing various price attributes at a specific datetime.
+
+    Attributes:
+        date_time (Optional[AwareDatetime]): The datetime of the record.
+
+    """
+
+    elecprice_marketprice: Optional[float] = Field(
+        None, description="Electricity market price (€/KWh)"
+    )
+
+
+class ElecPriceProvider(PredictionProvider):
+    """Abstract base class for electricity price providers.
+
+    WeatherProvider is a thread-safe singleton, ensuring only one instance of this class is created.
+
+    Configuration variables:
+        electricity price_provider (str): Prediction provider for electricity price.
+
+    Attributes:
+        prediction_hours (int, optional): The number of hours into the future for which predictions are generated.
+        prediction_historic_hours (int, optional): The number of past hours for which historical data is retained.
+        latitude (float, optional): The latitude in degrees, must be within -90 to 90.
+        longitude (float, optional): The longitude in degrees, must be within -180 to 180.
+        start_datetime (datetime, optional): The starting datetime for predictions, defaults to the current datetime if unspecified.
+        end_datetime (datetime, computed): The datetime representing the end of the prediction range,
+            calculated based on `start_datetime` and `prediction_hours`.
+        keep_datetime (datetime, computed): The earliest datetime for retaining historical data, calculated
+            based on `start_datetime` and `prediction_historic_hours`.
+    """
+
+    # overload
+    records: List[ElecPriceDataRecord] = Field(
+        default_factory=list, description="List of ElecPriceDataRecord records"
+    )
+
+    @classmethod
+    @abstractmethod
+    def provider_id(cls) -> str:
+        return "ElecPriceProvider"
+
+    def enabled(self) -> bool:
+        return self.provider_id() == self.config.elecprice_provider
diff --git a/src/akkudoktoreos/prediction/elecpriceakkudoktor.py b/src/akkudoktoreos/prediction/elecpriceakkudoktor.py
new file mode 100644
index 0000000..36c4719
--- /dev/null
+++ b/src/akkudoktoreos/prediction/elecpriceakkudoktor.py
@@ -0,0 +1,160 @@
+"""Retrieves and processes electricity price forecast data from Akkudoktor.
+
+This module provides classes and mappings to manage electricity price data obtained from the
+Akkudoktor API, including support for various electricity price attributes such as temperature,
+humidity, cloud cover, and solar irradiance. The data is mapped to the `ElecPriceDataRecord`
+format, enabling consistent access to forecasted and historical electricity price attributes.
+"""
+
+from typing import Any, List, Optional, Union
+
+import requests
+from pydantic import ValidationError
+
+from akkudoktoreos.core.pydantic import PydanticBaseModel
+from akkudoktoreos.prediction.elecpriceabc import ElecPriceDataRecord, ElecPriceProvider
+from akkudoktoreos.utils.cacheutil import cache_in_file
+from akkudoktoreos.utils.datetimeutil import to_datetime
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class AkkudoktorElecPriceMeta(PydanticBaseModel):
+    start_timestamp: int
+    end_timestamp: int
+    start: str
+    end: str
+
+
+class AkkudoktorElecPriceValue(PydanticBaseModel):
+    start_timestamp: int
+    end_timestamp: int
+    start: str
+    end: str
+    marketprice: float
+    unit: str
+    marketpriceEurocentPerKWh: float
+
+
+class AkkudoktorElecPrice(PydanticBaseModel):
+    meta: AkkudoktorElecPriceMeta
+    values: List[List[AkkudoktorElecPriceValue]]
+
+
+class ElecPriceAkkudoktor(ElecPriceProvider):
+    """Fetch and process electricity price forecast data from Akkudoktor.
+
+    ElecPriceAkkudoktor is a singleton-based class that retrieves electricity price forecast data
+    from the Akkudoktor API and maps it to `ElecPriceDataRecord` fields, applying
+    any necessary scaling or unit corrections. It manages the forecast over a range
+    of hours into the future and retains historical data.
+
+    Attributes:
+        prediction_hours (int, optional): Number of hours in the future for the forecast.
+        prediction_historic_hours (int, optional): Number of past hours for retaining data.
+        start_datetime (datetime, optional): Start datetime for forecasts, defaults to the current datetime.
+        end_datetime (datetime, computed): The forecast's end datetime, computed based on `start_datetime` and `prediction_hours`.
+        keep_datetime (datetime, computed): The datetime to retain historical data, computed from `start_datetime` and `prediction_historic_hours`.
+
+    Methods:
+        provider_id(): Returns a unique identifier for the provider.
+        _request_forecast(): Fetches the forecast from the Akkudoktor API.
+        _update_data(): Processes and updates forecast data from Akkudoktor in ElecPriceDataRecord format.
+    """
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the Akkudoktor provider."""
+        return "Akkudoktor"
+
+    @classmethod
+    def _validate_data(cls, json_str: Union[bytes, Any]) -> AkkudoktorElecPrice:
+        """Validate Akkudoktor Electricity Price forecast data."""
+        try:
+            akkudoktor_data = AkkudoktorElecPrice.model_validate_json(json_str)
+        except ValidationError as e:
+            error_msg = ""
+            for error in e.errors():
+                field = " -> ".join(str(x) for x in error["loc"])
+                message = error["msg"]
+                error_type = error["type"]
+                error_msg += f"Field: {field}\nError: {message}\nType: {error_type}\n"
+            logger.error(f"Akkudoktor schema change: {error_msg}")
+            raise ValueError(error_msg)
+        return akkudoktor_data
+
+    @cache_in_file(with_ttl="1 hour")
+    def _request_forecast(self) -> AkkudoktorElecPrice:
+        """Fetch electricity price forecast data from Akkudoktor API.
+
+        This method sends a request to Akkudoktor's API to retrieve forecast data for a specified
+        date range. The response data is parsed and returned as JSON for further processing.
+
+        Returns:
+            dict: The parsed JSON response from Akkudoktor API containing forecast data.
+
+        Raises:
+            ValueError: If the API response does not include expected `electricity price` data.
+        """
+        source = "https://api.akkudoktor.net"
+        date = to_datetime(self.start_datetime, as_string="%Y-%m-%d")
+        last_date = to_datetime(self.end_datetime, as_string="%Y-%m-%d")
+        response = requests.get(
+            f"{source}/prices?date={date}&last_date={last_date}&tz={self.config.timezone}"
+        )
+        response.raise_for_status()  # Raise an error for bad responses
+        logger.debug(f"Response from {self._url()}: {response}")
+        akkudoktor_data = self._validate_data(response.content)
+        # We are working on fresh data (no cache), report update time
+        self.update_datetime = to_datetime(in_timezone=self.config.timezone)
+        return akkudoktor_data
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        """Update forecast data in the ElecPriceDataRecord format.
+
+        Retrieves data from Akkudoktor, maps each Akkudoktor field to the corresponding
+        `ElecPriceDataRecord` and applies any necessary scaling.
+
+        The final mapped and processed data is inserted into the sequence as `ElecPriceDataRecord`.
+        """
+        # Get Akkudoktor electricity price data
+        akkudoktor_data = self._request_forecast(force_update=force_update)  # type: ignore
+
+        # Assumption that all lists are the same length and are ordered chronologically
+        # in ascending order and have the same timestamps.
+        values_len = len(akkudoktor_data.values[0])
+        if values_len < self.config.prediction_hours:
+            # Expect one value set per prediction hour
+            raise ValueError(
+                f"The forecast must cover at least {self.config.prediction_hours} hours, "
+                f"but only {values_len} data sets are given in forecast data."
+            )
+
+        for i in range(values_len):
+            # Zeige die ursprünglichen und berechneten Zeitstempel an
+            original_datetime = akkudoktor_data.values[0][i].start
+            # print(original_datetime," ",sum_dc_power," ",akkudoktor_data.values[0][i].dcPower)
+            dt = to_datetime(original_datetime, in_timezone=self.config.timezone)
+            # iso_datetime = parser.parse(original_datetime).isoformat()  # Konvertiere zu ISO-Format
+            # print()
+            # Optional: 2 Stunden abziehen, um die Zeitanpassung zu testen
+            # adjusted_datetime = parser.parse(original_datetime) - timedelta(hours=2)
+            # print(f"Angepasste Zeitstempel: {adjusted_datetime.isoformat()}")
+
+            if dt < self.start_datetime:
+                # forecast data is too old
+                continue
+
+            record = ElecPriceDataRecord(
+                date_time=dt,  # Verwende angepassten Zeitstempel
+                elecprice_marketprice=akkudoktor_data.values[0][i].marketpriceEurocentPerKWh,
+            )
+            self.append(record)
+
+        if len(self) < self.config.prediction_hours:
+            raise ValueError(
+                f"The forecast must cover at least {self.config.prediction_hours} hours, "
+                f"but only {len(self)} hours starting from {self.start_datetime} "
+                f"were predicted."
+            )
diff --git a/src/akkudoktoreos/prediction/elecpriceimport.py b/src/akkudoktoreos/prediction/elecpriceimport.py
new file mode 100644
index 0000000..12fb859
--- /dev/null
+++ b/src/akkudoktoreos/prediction/elecpriceimport.py
@@ -0,0 +1,68 @@
+"""Retrieves elecprice forecast data from an import file.
+
+This module provides classes and mappings to manage elecprice data obtained from
+an import file, including support for various elecprice attributes such as temperature,
+humidity, cloud cover, and solar irradiance. The data is mapped to the `ElecPriceDataRecord`
+format, enabling consistent access to forecasted and historical elecprice attributes.
+"""
+
+from pathlib import Path
+from typing import Optional, Union
+
+from pydantic import Field, field_validator
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.prediction.elecpriceabc import ElecPriceProvider
+from akkudoktoreos.prediction.predictionabc import PredictionImportProvider
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class ElecPriceImportCommonSettings(SettingsBaseModel):
+    """Common settings for elecprice data import from file."""
+
+    elecpriceimport_file_path: Optional[Union[str, Path]] = Field(
+        default=None, description="Path to the file to import elecprice data from."
+    )
+
+    elecpriceimport_json: Optional[str] = Field(
+        default=None,
+        description="JSON string, dictionary of electricity price forecast value lists.",
+    )
+
+    # Validators
+    @field_validator("elecpriceimport_file_path", mode="after")
+    @classmethod
+    def validate_elecpriceimport_file_path(
+        cls, value: Optional[Union[str, Path]]
+    ) -> Optional[Path]:
+        if value is None:
+            return None
+        if isinstance(value, str):
+            value = Path(value)
+        """Ensure file is available."""
+        value.resolve()
+        if not value.is_file():
+            raise ValueError(f"Import file path '{value}' is not a file.")
+        return value
+
+
+class ElecPriceImport(ElecPriceProvider, PredictionImportProvider):
+    """Fetch PV forecast data from import file or JSON string.
+
+    ElecPriceImport is a singleton-based class that retrieves elecprice forecast data
+    from a file or JSON string and maps it to `ElecPriceDataRecord` fields. It manages the forecast
+    over a range of hours into the future and retains historical data.
+    """
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the ElecPriceImport provider."""
+        return "ElecPriceImport"
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        if self.config.elecpriceimport_file_path is not None:
+            self.import_from_file(self.config.elecpriceimport_file_path, key_prefix="elecprice")
+        if self.config.elecpriceimport_json is not None:
+            self.import_from_json(self.config.elecpriceimport_json, key_prefix="elecprice")
diff --git a/src/akkudoktoreos/prediction/price_forecast.py b/src/akkudoktoreos/prediction/price_forecast.py
deleted file mode 100644
index 0318cb9..0000000
--- a/src/akkudoktoreos/prediction/price_forecast.py
+++ /dev/null
@@ -1,143 +0,0 @@
-import hashlib
-import json
-import zoneinfo
-from datetime import datetime, timedelta, timezone
-from pathlib import Path
-from typing import Any, Sequence
-
-import numpy as np
-import requests
-
-from akkudoktoreos.config import AppConfig, SetupIncomplete
-
-
-def repeat_to_shape(array: np.ndarray, target_shape: Sequence[int]) -> np.ndarray:
-    # Check if the array fits the target shape
-    if len(target_shape) != array.ndim:
-        raise ValueError("Array and target shape must have the same number of dimensions")
-
-    # Number of repetitions per dimension
-    repeats = tuple(target_shape[i] // array.shape[i] for i in range(array.ndim))
-
-    # Use np.tile to expand the array
-    expanded_array = np.tile(array, repeats)
-    return expanded_array
-
-
-class HourlyElectricityPriceForecast:
-    def __init__(
-        self,
-        source: str | Path,
-        config: AppConfig,
-        charges: float = 0.000228,
-        use_cache: bool = True,
-    ):  # 228
-        self.cache_dir = config.working_dir / config.directories.cache
-        self.use_cache = use_cache
-        if not self.cache_dir.is_dir():
-            raise SetupIncomplete(f"Output path does not exist: {self.cache_dir}.")
-
-        self.cache_time_file = self.cache_dir / "cache_timestamp.txt"
-        self.prices = self.load_data(source)
-        self.charges = charges
-        self.prediction_hours = config.eos.prediction_hours
-
-    def load_data(self, source: str | Path) -> list[dict[str, Any]]:
-        cache_file = self.get_cache_file(source)
-        if isinstance(source, str):
-            if cache_file.is_file() and not self.is_cache_expired() and self.use_cache:
-                print("Loading data from cache...")
-                with cache_file.open("r") as file:
-                    json_data = json.load(file)
-            else:
-                print("Loading data from the URL...")
-                response = requests.get(source)
-                if response.status_code == 200:
-                    json_data = response.json()
-                    with cache_file.open("w") as file:
-                        json.dump(json_data, file)
-                    self.update_cache_timestamp()
-                else:
-                    raise Exception(f"Error fetching data: {response.status_code}")
-        elif source.is_file():
-            with source.open("r") as file:
-                json_data = json.load(file)
-        else:
-            raise ValueError(f"Input is not a valid path: {source}")
-        return json_data["values"]
-
-    def get_cache_file(self, url: str | Path) -> Path:
-        if isinstance(url, Path):
-            url = str(url)
-        hash_object = hashlib.sha256(url.encode())
-        hex_dig = hash_object.hexdigest()
-        return self.cache_dir / f"cache_{hex_dig}.json"
-
-    def is_cache_expired(self) -> bool:
-        if not self.cache_time_file.is_file():
-            return True
-        with self.cache_time_file.open("r") as file:
-            timestamp_str = file.read()
-            last_cache_time = datetime.strptime(timestamp_str, "%Y-%m-%d %H:%M:%S")
-        return datetime.now() - last_cache_time > timedelta(hours=1)
-
-    def update_cache_timestamp(self) -> None:
-        with self.cache_time_file.open("w") as file:
-            file.write(datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
-
-    def get_price_for_date(self, date_str: str) -> np.ndarray:
-        """Returns all prices for the specified date, including the price from 00:00 of the previous day."""
-        # Convert date string to datetime object
-        date_obj = datetime.strptime(date_str, "%Y-%m-%d")
-
-        # Calculate the previous day
-        previous_day = date_obj - timedelta(days=1)
-        previous_day_str = previous_day.strftime("%Y-%m-%d")
-
-        # Extract the price from 00:00 of the previous day
-        last_price_of_previous_day = [
-            entry["marketpriceEurocentPerKWh"] + self.charges
-            for entry in self.prices
-            if previous_day_str in entry["end"]
-        ][-1]
-
-        # Extract all prices for the specified date
-        date_prices = [
-            entry["marketpriceEurocentPerKWh"] + self.charges
-            for entry in self.prices
-            if date_str in entry["end"]
-        ]
-        print(f"getPrice: {len(date_prices)}")
-
-        # Add the last price of the previous day at the start of the list
-        if len(date_prices) == 23:
-            date_prices.insert(0, last_price_of_previous_day)
-
-        return np.array(date_prices) / (1000.0 * 100.0) + self.charges
-
-    def get_price_for_daterange(self, start_date_str: str, end_date_str: str) -> np.ndarray:
-        """Returns all prices between the start and end dates."""
-        print(start_date_str)
-        print(end_date_str)
-        start_date_utc = datetime.strptime(start_date_str, "%Y-%m-%d").replace(tzinfo=timezone.utc)
-        end_date_utc = datetime.strptime(end_date_str, "%Y-%m-%d").replace(tzinfo=timezone.utc)
-        start_date = start_date_utc.astimezone(zoneinfo.ZoneInfo("Europe/Berlin"))
-        end_date = end_date_utc.astimezone(zoneinfo.ZoneInfo("Europe/Berlin"))
-
-        price_list: list[float] = []
-
-        while start_date < end_date:
-            date_str = start_date.strftime("%Y-%m-%d")
-            daily_prices = self.get_price_for_date(date_str)
-
-            if daily_prices.size == 24:
-                price_list.extend(daily_prices)
-            start_date += timedelta(days=1)
-
-        price_list_np = np.array(price_list)
-
-        # If prediction hours are greater than 0, reshape the price list
-        if self.prediction_hours > 0:
-            price_list_np = repeat_to_shape(price_list_np, (self.prediction_hours,))
-
-        return price_list_np
diff --git a/tests/test_elecpriceimport.py b/tests/test_elecpriceimport.py
new file mode 100644
index 0000000..63c25fb
--- /dev/null
+++ b/tests/test_elecpriceimport.py
@@ -0,0 +1,110 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.elecpriceimport import ElecPriceImport
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime
+
+DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
+
+FILE_TESTDATA_ELECPRICEIMPORT_1_JSON = DIR_TESTDATA.joinpath("import_input_1.json")
+
+config_eos = get_config()
+ems_eos = get_ems()
+
+
+@pytest.fixture
+def elecprice_provider(reset_config, sample_import_1_json):
+    """Fixture to create a ElecPriceProvider instance."""
+    settings = {
+        "elecprice_provider": "ElecPriceImport",
+        "elecpriceimport_file_path": str(FILE_TESTDATA_ELECPRICEIMPORT_1_JSON),
+        "elecpriceimport_json": json.dumps(sample_import_1_json),
+    }
+    config_eos.merge_settings_from_dict(settings)
+    provider = ElecPriceImport()
+    assert provider.enabled() == True
+    return provider
+
+
+@pytest.fixture
+def sample_import_1_json():
+    """Fixture that returns sample forecast data report."""
+    with open(FILE_TESTDATA_ELECPRICEIMPORT_1_JSON, "r") as f_res:
+        input_data = json.load(f_res)
+    return input_data
+
+
+# ------------------------------------------------
+# General forecast
+# ------------------------------------------------
+
+
+def test_singleton_instance(elecprice_provider):
+    """Test that ElecPriceForecast behaves as a singleton."""
+    another_instance = ElecPriceImport()
+    assert elecprice_provider is another_instance
+
+
+def test_invalid_provider(elecprice_provider):
+    """Test requesting an unsupported elecprice_provider."""
+    settings = {
+        "elecprice_provider": "<invalid>",
+        "elecpriceimport_file_path": str(FILE_TESTDATA_ELECPRICEIMPORT_1_JSON),
+    }
+    config_eos.merge_settings_from_dict(settings)
+    assert elecprice_provider.enabled() == False
+
+
+# ------------------------------------------------
+# Import
+# ------------------------------------------------
+
+
+@pytest.mark.parametrize(
+    "start_datetime, from_file",
+    [
+        ("2024-11-10 00:00:00", True),  # No DST in Germany
+        ("2024-08-10 00:00:00", True),  # DST in Germany
+        ("2024-03-31 00:00:00", True),  # DST change in Germany (23 hours/ day)
+        ("2024-10-27 00:00:00", True),  # DST change in Germany (25 hours/ day)
+        ("2024-11-10 00:00:00", False),  # No DST in Germany
+        ("2024-08-10 00:00:00", False),  # DST in Germany
+        ("2024-03-31 00:00:00", False),  # DST change in Germany (23 hours/ day)
+        ("2024-10-27 00:00:00", False),  # DST change in Germany (25 hours/ day)
+    ],
+)
+def test_import(elecprice_provider, sample_import_1_json, start_datetime, from_file):
+    """Test fetching forecast from Import."""
+    ems_eos.start_datetime = to_datetime(start_datetime, in_timezone="Europe/Berlin")
+    if from_file:
+        config_eos.elecpriceimport_json = None
+        assert config_eos.elecpriceimport_json is None
+    else:
+        config_eos.elecpriceimport_file_path = None
+        assert config_eos.elecpriceimport_file_path is None
+    elecprice_provider.clear()
+
+    # Call the method
+    elecprice_provider.update_data()
+
+    # Assert: Verify the result is as expected
+    assert elecprice_provider.start_datetime is not None
+    assert elecprice_provider.total_hours is not None
+    assert compare_datetimes(elecprice_provider.start_datetime, ems_eos.start_datetime).equal
+    values = sample_import_1_json["elecprice_marketprice"]
+    value_datetime_mapping = elecprice_provider.import_datetimes(len(values))
+    for i, mapping in enumerate(value_datetime_mapping):
+        assert i < len(elecprice_provider.records)
+        expected_datetime, expected_value_index = mapping
+        expected_value = values[expected_value_index]
+        result_datetime = elecprice_provider.records[i].date_time
+        result_value = elecprice_provider.records[i]["elecprice_marketprice"]
+
+        # print(f"{i}: Expected: {expected_datetime}:{expected_value}")
+        # print(f"{i}:   Result: {result_datetime}:{result_value}")
+        assert compare_datetimes(result_datetime, expected_datetime).equal
+        assert result_value == expected_value

From 46424b6d0624f604ffae0bb34ebf5a69e923ea57 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Sat, 16 Nov 2024 12:24:12 +0100
Subject: [PATCH 11/19] Adapt fastapi server to base config and add fasthtml
 server.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 docs/akkudoktoreos/openapi.json             | 4856 +++++++++++++++++--
 requirements.txt                            |    2 +-
 src/akkudoktoreos/server/fastapi_server.py  |  269 +-
 src/akkudoktoreos/server/fasthtml_server.py |   60 +
 src/akkudoktoreos/server/server.py          |    2 +-
 tests/test_openapi.py                       |    5 +
 tests/test_server.py                        |   23 +-
 7 files changed, 4749 insertions(+), 468 deletions(-)
 create mode 100644 src/akkudoktoreos/server/fasthtml_server.py

diff --git a/docs/akkudoktoreos/openapi.json b/docs/akkudoktoreos/openapi.json
index a2dc36b..4864257 100644
--- a/docs/akkudoktoreos/openapi.json
+++ b/docs/akkudoktoreos/openapi.json
@@ -6,6 +6,136 @@
     "version": "0.0.1"
   },
   "paths": {
+    "/config": {
+      "get": {
+        "summary": "Fastapi Config Get",
+        "description": "Get the current configuration.",
+        "operationId": "fastapi_config_get_config_get",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConfigEOS"
+                }
+              }
+            }
+          }
+        }
+      },
+      "put": {
+        "summary": "Fastapi Config Put",
+        "description": "Merge settings into current configuration.",
+        "operationId": "fastapi_config_put_config_put",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/SettingsEOS"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConfigEOS"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/HTTPValidationError"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/prediction/keys": {
+      "get": {
+        "summary": "Fastapi Prediction Keys",
+        "description": "Get a list of available prediction keys.",
+        "operationId": "fastapi_prediction_keys_prediction_keys_get",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": {
+                    "type": "string"
+                  },
+                  "type": "array",
+                  "title": "Response Fastapi Prediction Keys Prediction Keys Get"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/prediction": {
+      "get": {
+        "summary": "Fastapi Prediction",
+        "description": "Get the current configuration.",
+        "operationId": "fastapi_prediction_prediction_get",
+        "parameters": [
+          {
+            "name": "key",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "Key"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "anyOf": [
+                      {
+                        "type": "number"
+                      },
+                      {
+                        "type": "string"
+                      }
+                    ]
+                  },
+                  "title": "Response Fastapi Prediction Prediction Get"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/HTTPValidationError"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
     "/strompreis": {
       "get": {
         "summary": "Fastapi Strompreis",
@@ -144,15 +274,6 @@
         "summary": "Fastapi Pvprognose",
         "operationId": "fastapi_pvprognose_pvforecast_get",
         "parameters": [
-          {
-            "name": "url",
-            "in": "query",
-            "required": true,
-            "schema": {
-              "type": "string",
-              "title": "Url"
-            }
-          },
           {
             "name": "ac_power_measurement",
             "in": "query",
@@ -269,162 +390,316 @@
           }
         }
       }
+    },
+    "/{path}": {
+      "delete": {
+        "summary": "Proxy Delete",
+        "operationId": "proxy_delete__path__delete",
+        "parameters": [
+          {
+            "name": "path",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "Path"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {}
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/HTTPValidationError"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "summary": "Proxy Get",
+        "operationId": "proxy_get__path__get",
+        "parameters": [
+          {
+            "name": "path",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "Path"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {}
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/HTTPValidationError"
+                }
+              }
+            }
+          }
+        }
+      },
+      "post": {
+        "summary": "Proxy Post",
+        "operationId": "proxy_post__path__post",
+        "parameters": [
+          {
+            "name": "path",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "Path"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {}
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/HTTPValidationError"
+                }
+              }
+            }
+          }
+        }
+      },
+      "put": {
+        "summary": "Proxy Put",
+        "operationId": "proxy_put__path__put",
+        "parameters": [
+          {
+            "name": "path",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string",
+              "title": "Path"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {}
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/HTTPValidationError"
+                }
+              }
+            }
+          }
+        }
+      }
     }
   },
   "components": {
     "schemas": {
-      "EAutoParameters": {
+      "ConfigEOS": {
         "properties": {
-          "kapazitaet_wh": {
-            "type": "integer",
-            "exclusiveMinimum": 0.0,
-            "title": "Kapazitaet Wh",
-            "description": "An integer representing the capacity of the battery in watt-hours."
-          },
-          "lade_effizienz": {
-            "type": "number",
-            "maximum": 1.0,
-            "exclusiveMinimum": 0.0,
-            "title": "Lade Effizienz",
-            "description": "A float representing the charging efficiency of the battery.",
-            "default": 0.88
-          },
-          "entlade_effizienz": {
-            "type": "number",
-            "title": "Entlade Effizienz",
-            "default": 1.0
+          "server_fastapi_host": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "ipvanyaddress"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Server Fastapi Host",
+            "description": "FastAPI server IP address.",
+            "default": "0.0.0.0"
           },
-          "max_ladeleistung_w": {
+          "server_fastapi_port": {
             "anyOf": [
               {
-                "type": "number",
-                "exclusiveMinimum": 0.0
+                "type": "integer"
               },
               {
                 "type": "null"
               }
             ],
-            "title": "Max Ladeleistung W",
-            "description": "An integer representing the charging power of the battery in watts."
+            "title": "Server Fastapi Port",
+            "description": "FastAPI server IP port number.",
+            "default": 8503
           },
-          "start_soc_prozent": {
-            "type": "integer",
-            "maximum": 100.0,
-            "minimum": 0.0,
-            "title": "Start Soc Prozent",
-            "description": "An integer representing the current state of charge (SOC) of the battery in percentage.",
-            "default": 0
-          },
-          "min_soc_prozent": {
-            "type": "integer",
-            "maximum": 100.0,
-            "minimum": 0.0,
-            "title": "Min Soc Prozent",
-            "description": "An integer representing the minimum state of charge (SOC) of the battery in percentage.",
-            "default": 0
-          },
-          "max_soc_prozent": {
-            "type": "integer",
-            "maximum": 100.0,
-            "minimum": 0.0,
-            "title": "Max Soc Prozent",
-            "default": 100
-          }
-        },
-        "type": "object",
-        "required": [
-          "kapazitaet_wh"
-        ],
-        "title": "EAutoParameters"
-      },
-      "EAutoResult": {
-        "properties": {
-          "charge_array": {
-            "items": {
-              "type": "number"
-            },
-            "type": "array",
-            "title": "Charge Array",
-            "description": "Indicates for each hour whether the EV is charging (`0` for no charging, `1` for charging)."
+          "server_fasthtml_host": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "ipvanyaddress"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Server Fasthtml Host",
+            "description": "FastHTML server IP address.",
+            "default": "0.0.0.0"
           },
-          "discharge_array": {
-            "items": {
-              "type": "integer"
-            },
-            "type": "array",
-            "title": "Discharge Array",
-            "description": "Indicates for each hour whether the EV is discharging (`0` for no discharging, `1` for discharging)."
+          "server_fasthtml_port": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Server Fasthtml Port",
+            "description": "FastHTML server IP port number.",
+            "default": 8504
           },
-          "entlade_effizienz": {
-            "type": "number",
-            "title": "Entlade Effizienz",
-            "description": "The discharge efficiency as a float."
+          "weatherimport_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Weatherimport File Path",
+            "description": "Path to the file to import weather data from."
           },
-          "hours": {
-            "type": "integer",
-            "title": "Hours",
-            "description": "Amount of hours the simulation is done for."
+          "weatherimport_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Weatherimport Json",
+            "description": "JSON string, dictionary of weather forecast value lists."
           },
-          "kapazitaet_wh": {
-            "type": "integer",
-            "title": "Kapazitaet Wh",
-            "description": "The capacity of the EV\u2019s battery in watt-hours."
+          "weather_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Weather Provider",
+            "description": "Weather provider id of provider to be used.",
+            "default": "ClearOutside"
           },
-          "lade_effizienz": {
-            "type": "number",
-            "title": "Lade Effizienz",
-            "description": "The charging efficiency as a float."
+          "pvforecastimport_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecastimport File Path",
+            "description": "Path to the file to import pvforecast data from."
           },
-          "max_ladeleistung_w": {
-            "type": "integer",
-            "title": "Max Ladeleistung W",
-            "description": "The maximum charging power of the EV in watts."
+          "pvforecastimport_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecastimport Json",
+            "description": "JSON string, dictionary of PV forecast float value lists.Keys are 'pvforecast_dc_power', 'pvforecast_ac_power'."
           },
-          "soc_wh": {
-            "type": "number",
-            "title": "Soc Wh",
-            "description": "The state of charge of the battery in watt-hours at the start of the simulation."
+          "pvforecast_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast Provider",
+            "description": "PVForecast provider id of provider to be used."
           },
-          "start_soc_prozent": {
-            "type": "integer",
-            "title": "Start Soc Prozent",
-            "description": "The state of charge of the battery in percentage at the start of the simulation."
-          }
-        },
-        "type": "object",
-        "required": [
-          "charge_array",
-          "discharge_array",
-          "entlade_effizienz",
-          "hours",
-          "kapazitaet_wh",
-          "lade_effizienz",
-          "max_ladeleistung_w",
-          "soc_wh",
-          "start_soc_prozent"
-        ],
-        "title": "EAutoResult",
-        "description": "This object contains information related to the electric vehicle and its charging and discharging behavior."
-      },
-      "EnergieManagementSystemParameters": {
-        "properties": {
-          "pv_prognose_wh": {
-            "items": {
-              "type": "number"
-            },
-            "type": "array",
-            "title": "Pv Prognose Wh",
-            "description": "An array of floats representing the forecasted photovoltaic output in watts for different time intervals."
+          "pvforecast0_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
           },
-          "strompreis_euro_pro_wh": {
-            "items": {
-              "type": "number"
-            },
-            "type": "array",
-            "title": "Strompreis Euro Pro Wh",
-            "description": "An array of floats representing the electricity price in euros per watt-hour for different time intervals."
+          "pvforecast0_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
           },
-          "einspeiseverguetung_euro_pro_wh": {
+          "pvforecast0_userhorizon": {
             "anyOf": [
               {
                 "items": {
@@ -432,238 +707,4065 @@
                 },
                 "type": "array"
               },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast0_peakpower": {
+            "anyOf": [
               {
                 "type": "number"
+              },
+              {
+                "type": "null"
               }
             ],
-            "title": "Einspeiseverguetung Euro Pro Wh",
-            "description": "A float or array of floats representing the feed-in compensation in euros per watt-hour."
+            "title": "Pvforecast0 Peakpower",
+            "description": "Nominal power of PV system in kW."
           },
-          "preis_euro_pro_wh_akku": {
-            "type": "number",
-            "title": "Preis Euro Pro Wh Akku"
+          "pvforecast0_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
           },
-          "gesamtlast": {
-            "items": {
-              "type": "number"
-            },
-            "type": "array",
-            "title": "Gesamtlast",
-            "description": "An array of floats representing the total load (consumption) in watts for different time intervals."
-          }
-        },
-        "type": "object",
-        "required": [
-          "pv_prognose_wh",
-          "strompreis_euro_pro_wh",
-          "einspeiseverguetung_euro_pro_wh",
-          "preis_euro_pro_wh_akku",
-          "gesamtlast"
-        ],
-        "title": "EnergieManagementSystemParameters"
-      },
-      "ForecastResponse": {
-        "properties": {
-          "temperature": {
-            "items": {
-              "type": "number"
-            },
-            "type": "array",
-            "title": "Temperature"
+          "pvforecast0_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
           },
-          "pvpower": {
-            "items": {
-              "type": "number"
-            },
-            "type": "array",
-            "title": "Pvpower"
-          }
-        },
-        "type": "object",
-        "required": [
-          "temperature",
-          "pvpower"
-        ],
-        "title": "ForecastResponse"
-      },
-      "HTTPValidationError": {
-        "properties": {
-          "detail": {
-            "items": {
-              "$ref": "#/components/schemas/ValidationError"
-            },
+          "pvforecast0_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Loss",
+            "description": "Sum of PV system losses in percent"
+          },
+          "pvforecast0_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast0_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast0_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast0_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast0_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast0_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast0_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast0_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast0_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "pvforecast1_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast1_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast1_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast1_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast1_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast1_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast1_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Loss",
+            "description": "Sum of PV system losses in percent",
+            "default": 0
+          },
+          "pvforecast1_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast1_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast1_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast1_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast1_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast1_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast1_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast1_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast1_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "pvforecast2_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast2_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast2_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast2_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast2_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast2_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast2_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Loss",
+            "description": "Sum of PV system losses in percent",
+            "default": 0
+          },
+          "pvforecast2_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast2_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast2_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast2_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast2_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast2_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast2_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast2_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast2_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "pvforecast3_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast3_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast3_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast3_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast3_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast3_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast3_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Loss",
+            "description": "Sum of PV system losses in percent",
+            "default": 0
+          },
+          "pvforecast3_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast3_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast3_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast3_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast3_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast3_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast3_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast3_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast3_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "pvforecast4_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast4_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast4_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast4_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast4_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast4_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast4_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Loss",
+            "description": "Sum of PV system losses in percent",
+            "default": 0
+          },
+          "pvforecast4_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast4_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast4_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast4_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast4_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast4_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast4_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast4_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast4_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "load0_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load0 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load0_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load0 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "load1_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load1 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load1_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load1 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "load2_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load2 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load2_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load2 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "load3_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load3 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load3_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load3 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "load4_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load4 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load4_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load4 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "loadakkudoktor_year_energy": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Loadakkudoktor Year Energy",
+            "description": "Yearly energy consumption (kWh)."
+          },
+          "load0_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load0 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load0_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load0 Name",
+            "description": "Name of the load source."
+          },
+          "load1_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load1 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load1_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load1 Name",
+            "description": "Name of the load source."
+          },
+          "load2_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load2 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load2_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load2 Name",
+            "description": "Name of the load source."
+          },
+          "load3_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load3 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load3_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load3 Name",
+            "description": "Name of the load source."
+          },
+          "load4_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load4 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load4_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load4 Name",
+            "description": "Name of the load source."
+          },
+          "elecpriceimport_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Elecpriceimport File Path",
+            "description": "Path to the file to import elecprice data from."
+          },
+          "elecpriceimport_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Elecpriceimport Json",
+            "description": "JSON string, dictionary of electricity price forecast value lists."
+          },
+          "elecprice_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Elecprice Provider",
+            "description": "Electicity price provider id of provider to be used.",
+            "default": "ElecPriceAkkudoktor"
+          },
+          "prediction_hours": {
+            "anyOf": [
+              {
+                "type": "integer",
+                "minimum": 0.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Prediction Hours",
+            "description": "Number of hours into the future for predictions",
+            "default": 48
+          },
+          "prediction_historic_hours": {
+            "anyOf": [
+              {
+                "type": "integer",
+                "minimum": 0.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Prediction Historic Hours",
+            "description": "Number of hours into the past for historical predictions data",
+            "default": 48
+          },
+          "latitude": {
+            "anyOf": [
+              {
+                "type": "number",
+                "maximum": 90.0,
+                "minimum": -90.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Latitude",
+            "description": "Latitude in decimal degrees, between -90 and 90, north is positive (ISO 19115) (\u00b0)"
+          },
+          "longitude": {
+            "anyOf": [
+              {
+                "type": "number",
+                "maximum": 180.0,
+                "minimum": -180.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Longitude",
+            "description": "Longitude in decimal degrees, within -180 to 180 (\u00b0)"
+          },
+          "optimization_hours": {
+            "anyOf": [
+              {
+                "type": "integer",
+                "minimum": 0.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Optimization Hours",
+            "description": "Number of hours into the future for optimizations.",
+            "default": 24
+          },
+          "optimization_penalty": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Optimization Penalty",
+            "description": "Penalty factor used in optimization.",
+            "default": 10
+          },
+          "optimization_ev_available_charge_rates_percent": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Optimization Ev Available Charge Rates Percent",
+            "description": "Charge rates available for the EV in percent of maximum charge.",
+            "default": [
+              0.0,
+              0.375,
+              0.5,
+              0.625,
+              0.75,
+              0.875,
+              1.0
+            ]
+          },
+          "battery_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Provider",
+            "description": "Id of Battery simulation provider."
+          },
+          "battery_capacity": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Capacity",
+            "description": "Battery capacity [Wh]."
+          },
+          "battery_soc_start": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Soc Start",
+            "description": "Battery initial state of charge [%]."
+          },
+          "battery_soc_min": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Soc Min",
+            "description": "Battery minimum state of charge [%]."
+          },
+          "battery_soc_max": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Soc Max",
+            "description": "Battery maximum state of charge [%]."
+          },
+          "battery_charge_efficiency": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Charge Efficiency",
+            "description": "Battery charging efficiency [%]."
+          },
+          "battery_discharge_efficiency": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Discharge Efficiency",
+            "description": "Battery discharging efficiency [%]."
+          },
+          "battery_charge_power_max": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Charge Power Max",
+            "description": "Battery maximum charge power [W]."
+          },
+          "bev_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Provider",
+            "description": "Id of Battery Electric Vehicle simulation provider."
+          },
+          "bev_capacity": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Capacity",
+            "description": "Battery Electric Vehicle capacity [Wh]."
+          },
+          "bev_soc_start": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Soc Start",
+            "description": "Battery Electric Vehicle initial state of charge [%]."
+          },
+          "bev_soc_max": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Soc Max",
+            "description": "Battery Electric Vehicle maximum state of charge [%]."
+          },
+          "bev_charge_efficiency": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Charge Efficiency",
+            "description": "Battery Electric Vehicle charging efficiency [%]."
+          },
+          "bev_discharge_efficiency": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Discharge Efficiency",
+            "description": "Battery Electric Vehicle discharging efficiency [%]."
+          },
+          "bev_charge_power_max": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Charge Power Max",
+            "description": "Battery Electric Vehicle maximum charge power [W]."
+          },
+          "dishwasher_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Dishwasher Provider",
+            "description": "Id of Dish Washer simulation provider."
+          },
+          "dishwasher_consumption": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Dishwasher Consumption",
+            "description": "Dish Washer energy consumption [Wh]."
+          },
+          "dishwasher_duration": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Dishwasher Duration",
+            "description": "Dish Washer usage duration [h]."
+          },
+          "inverter_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Inverter Provider",
+            "description": "Id of PV Inverter simulation provider."
+          },
+          "inverter_power_max": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Inverter Power Max",
+            "description": "Inverter maximum power [W]."
+          },
+          "data_folder_path": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Data Folder Path",
+            "description": "Path to EOS data directory."
+          },
+          "data_output_subpath": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Data Output Subpath",
+            "description": "Sub-path for the EOS output data directory.",
+            "default": "output"
+          },
+          "data_cache_subpath": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Data Cache Subpath",
+            "description": "Sub-path for the EOS cache data directory.",
+            "default": "cache"
+          },
+          "config_folder_path": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Config Folder Path",
+            "description": "Path to EOS configuration directory."
+          },
+          "config_file_path": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Config File Path",
+            "description": "Path to EOS configuration file."
+          },
+          "pvforecast_planes": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array",
+            "title": "Pvforecast Planes",
+            "description": "Compute a list of active planes.",
+            "readOnly": true
+          },
+          "pvforecast_planes_peakpower": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Pvforecast Planes Peakpower",
+            "description": "Compute a list of the peak power per active planes.",
+            "readOnly": true
+          },
+          "pvforecast_planes_azimuth": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Pvforecast Planes Azimuth",
+            "description": "Compute a list of the azimuths per active planes.",
+            "readOnly": true
+          },
+          "pvforecast_planes_tilt": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Pvforecast Planes Tilt",
+            "description": "Compute a list of the tilts per active planes.",
+            "readOnly": true
+          },
+          "pvforecast_planes_userhorizon": {
+            "title": "Pvforecast Planes Userhorizon",
+            "description": "Compute a list of the user horizon per active planes.",
+            "readOnly": true
+          },
+          "pvforecast_planes_inverter_paco": {
+            "title": "Pvforecast Planes Inverter Paco",
+            "description": "Compute a list of the maximum power rating of the inverter per active planes.",
+            "readOnly": true
+          },
+          "load_count": {
+            "type": "integer",
+            "title": "Load Count",
+            "description": "Maximum number of loads.",
+            "readOnly": true
+          },
+          "load_providers": {
+            "items": {
+              "type": "string"
+            },
+            "type": "array",
+            "uniqueItems": true,
+            "title": "Load Providers",
+            "description": "Load providers.",
+            "readOnly": true
+          },
+          "timezone": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Timezone",
+            "description": "Compute timezone based on latitude and longitude.",
+            "readOnly": true
+          },
+          "data_output_path": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Data Output Path",
+            "description": "Compute data_output_path based on data_folder_path.",
+            "readOnly": true
+          },
+          "data_cache_path": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Data Cache Path",
+            "description": "Compute data_cache_path based on data_folder_path.",
+            "readOnly": true
+          },
+          "config_default_file_path": {
+            "type": "string",
+            "format": "path",
+            "title": "Config Default File Path",
+            "description": "Compute the default config file path.",
+            "readOnly": true
+          }
+        },
+        "type": "object",
+        "required": [
+          "pvforecast_planes",
+          "pvforecast_planes_peakpower",
+          "pvforecast_planes_azimuth",
+          "pvforecast_planes_tilt",
+          "pvforecast_planes_userhorizon",
+          "pvforecast_planes_inverter_paco",
+          "load_count",
+          "load_providers",
+          "timezone",
+          "data_output_path",
+          "data_cache_path",
+          "config_default_file_path"
+        ],
+        "title": "ConfigEOS",
+        "description": "Singleton configuration handler for the EOS application.\n\nConfigEOS extends `SettingsEOS` with support for  default configuration paths and automatic\ninitialization.\n\n`ConfigEOS` ensures that only one instance of the class is created throughout the application,\nallowing consistent access to EOS configuration settings. This singleton instance loads\nconfiguration data from a predefined set of directories or creates a default configuration if\nnone is found.\n\nInitialization Process:\n  - Upon instantiation, the singleton instance attempts to load a configuration file in this order:\n    1. The directory specified by the `EOS_DIR` environment variable.\n    2. A platform specific default directory for EOS.\n    3. The current working directory.\n  - The first available configuration file found in these directories is loaded.\n  - If no configuration file is found, a default configuration file is created in the platform\n    specific default directory, and default settings are loaded into it.\n\nAttributes from the loaded configuration are accessible directly as instance attributes of\n`ConfigEOS`, providing a centralized, shared configuration object for EOS.\n\nSingleton Behavior:\n  - This class uses the `SingletonMixin` to ensure that all requests for `ConfigEOS` return\n    the same instance, which contains the most up-to-date configuration. Modifying the configuration\n    in one part of the application reflects across all references to this class.\n\nAttributes:\n    _settings (ClassVar[SettingsEOS]): Holds application-wide settings.\n    _file_settings (ClassVar[SettingsEOS]): Stores configuration loaded from file.\n    config_folder_path (Optional[Path]): Path to the configuration directory.\n    config_file_path (Optional[Path]): Path to the configuration file.\n\nRaises:\n    FileNotFoundError: If no configuration file is found, and creating a default configuration fails.\n\nExample:\n    To initialize and access configuration attributes (only one instance is created):\n    ```python\n    config_eos = ConfigEOS()  # Always returns the same instance\n    print(config_eos.prediction_hours)  # Access a setting from the loaded configuration\n    ```"
+      },
+      "EAutoParameters": {
+        "properties": {
+          "kapazitaet_wh": {
+            "type": "integer",
+            "exclusiveMinimum": 0.0,
+            "title": "Kapazitaet Wh",
+            "description": "An integer representing the capacity of the battery in watt-hours."
+          },
+          "lade_effizienz": {
+            "type": "number",
+            "maximum": 1.0,
+            "exclusiveMinimum": 0.0,
+            "title": "Lade Effizienz",
+            "description": "A float representing the charging efficiency of the battery.",
+            "default": 0.88
+          },
+          "entlade_effizienz": {
+            "type": "number",
+            "title": "Entlade Effizienz",
+            "default": 1.0
+          },
+          "max_ladeleistung_w": {
+            "anyOf": [
+              {
+                "type": "number",
+                "exclusiveMinimum": 0.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Max Ladeleistung W",
+            "description": "An integer representing the charging power of the battery in watts."
+          },
+          "start_soc_prozent": {
+            "type": "integer",
+            "maximum": 100.0,
+            "minimum": 0.0,
+            "title": "Start Soc Prozent",
+            "description": "An integer representing the current state of charge (SOC) of the battery in percentage.",
+            "default": 0
+          },
+          "min_soc_prozent": {
+            "type": "integer",
+            "maximum": 100.0,
+            "minimum": 0.0,
+            "title": "Min Soc Prozent",
+            "description": "An integer representing the minimum state of charge (SOC) of the battery in percentage.",
+            "default": 0
+          },
+          "max_soc_prozent": {
+            "type": "integer",
+            "maximum": 100.0,
+            "minimum": 0.0,
+            "title": "Max Soc Prozent",
+            "default": 100
+          }
+        },
+        "type": "object",
+        "required": [
+          "kapazitaet_wh"
+        ],
+        "title": "EAutoParameters"
+      },
+      "EAutoResult": {
+        "properties": {
+          "charge_array": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Charge Array",
+            "description": "Indicates for each hour whether the EV is charging (`0` for no charging, `1` for charging)."
+          },
+          "discharge_array": {
+            "items": {
+              "type": "integer"
+            },
+            "type": "array",
+            "title": "Discharge Array",
+            "description": "Indicates for each hour whether the EV is discharging (`0` for no discharging, `1` for discharging)."
+          },
+          "entlade_effizienz": {
+            "type": "number",
+            "title": "Entlade Effizienz",
+            "description": "The discharge efficiency as a float."
+          },
+          "hours": {
+            "type": "integer",
+            "title": "Hours",
+            "description": "Amount of hours the simulation is done for."
+          },
+          "kapazitaet_wh": {
+            "type": "integer",
+            "title": "Kapazitaet Wh",
+            "description": "The capacity of the EV\u2019s battery in watt-hours."
+          },
+          "lade_effizienz": {
+            "type": "number",
+            "title": "Lade Effizienz",
+            "description": "The charging efficiency as a float."
+          },
+          "max_ladeleistung_w": {
+            "type": "integer",
+            "title": "Max Ladeleistung W",
+            "description": "The maximum charging power of the EV in watts."
+          },
+          "soc_wh": {
+            "type": "number",
+            "title": "Soc Wh",
+            "description": "The state of charge of the battery in watt-hours at the start of the simulation."
+          },
+          "start_soc_prozent": {
+            "type": "integer",
+            "title": "Start Soc Prozent",
+            "description": "The state of charge of the battery in percentage at the start of the simulation."
+          }
+        },
+        "type": "object",
+        "required": [
+          "charge_array",
+          "discharge_array",
+          "entlade_effizienz",
+          "hours",
+          "kapazitaet_wh",
+          "lade_effizienz",
+          "max_ladeleistung_w",
+          "soc_wh",
+          "start_soc_prozent"
+        ],
+        "title": "EAutoResult",
+        "description": "This object contains information related to the electric vehicle and its charging and discharging behavior."
+      },
+      "EnergieManagementSystemParameters": {
+        "properties": {
+          "pv_prognose_wh": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Pv Prognose Wh",
+            "description": "An array of floats representing the forecasted photovoltaic output in watts for different time intervals."
+          },
+          "strompreis_euro_pro_wh": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Strompreis Euro Pro Wh",
+            "description": "An array of floats representing the electricity price in euros per watt-hour for different time intervals."
+          },
+          "einspeiseverguetung_euro_pro_wh": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "number"
+              }
+            ],
+            "title": "Einspeiseverguetung Euro Pro Wh",
+            "description": "A float or array of floats representing the feed-in compensation in euros per watt-hour."
+          },
+          "preis_euro_pro_wh_akku": {
+            "type": "number",
+            "title": "Preis Euro Pro Wh Akku",
+            "description": "A float representing the cost of battery energy per watt-hour."
+          },
+          "gesamtlast": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Gesamtlast",
+            "description": "An array of floats representing the total load (consumption) in watts for different time intervals."
+          }
+        },
+        "type": "object",
+        "required": [
+          "pv_prognose_wh",
+          "strompreis_euro_pro_wh",
+          "einspeiseverguetung_euro_pro_wh",
+          "preis_euro_pro_wh_akku",
+          "gesamtlast"
+        ],
+        "title": "EnergieManagementSystemParameters"
+      },
+      "ForecastResponse": {
+        "properties": {
+          "temperature": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Temperature"
+          },
+          "pvpower": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Pvpower"
+          }
+        },
+        "type": "object",
+        "required": [
+          "temperature",
+          "pvpower"
+        ],
+        "title": "ForecastResponse"
+      },
+      "HTTPValidationError": {
+        "properties": {
+          "detail": {
+            "items": {
+              "$ref": "#/components/schemas/ValidationError"
+            },
+            "type": "array",
+            "title": "Detail"
+          }
+        },
+        "type": "object",
+        "title": "HTTPValidationError"
+      },
+      "HomeApplianceParameters": {
+        "properties": {
+          "consumption_wh": {
+            "type": "integer",
+            "exclusiveMinimum": 0.0,
+            "title": "Consumption Wh",
+            "description": "An integer representing the energy consumption of a household device in watt-hours."
+          },
+          "duration_h": {
+            "type": "integer",
+            "exclusiveMinimum": 0.0,
+            "title": "Duration H",
+            "description": "An integer representing the usage duration of a household device in hours."
+          }
+        },
+        "type": "object",
+        "required": [
+          "consumption_wh",
+          "duration_h"
+        ],
+        "title": "HomeApplianceParameters"
+      },
+      "OptimizationParameters": {
+        "properties": {
+          "ems": {
+            "$ref": "#/components/schemas/EnergieManagementSystemParameters"
+          },
+          "pv_akku": {
+            "$ref": "#/components/schemas/PVAkkuParameters"
+          },
+          "wechselrichter": {
+            "$ref": "#/components/schemas/WechselrichterParameters",
+            "default": {
+              "max_leistung_wh": 10000.0
+            }
+          },
+          "eauto": {
+            "anyOf": [
+              {
+                "$ref": "#/components/schemas/EAutoParameters"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "dishwasher": {
+            "anyOf": [
+              {
+                "$ref": "#/components/schemas/HomeApplianceParameters"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "temperature_forecast": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Temperature Forecast",
+            "description": "An array of floats representing the temperature forecast in degrees Celsius for different time intervals."
+          },
+          "start_solution": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Start Solution",
+            "description": "Can be `null` or contain a previous solution (if available)."
+          }
+        },
+        "type": "object",
+        "required": [
+          "ems",
+          "pv_akku",
+          "eauto"
+        ],
+        "title": "OptimizationParameters"
+      },
+      "OptimizeResponse": {
+        "properties": {
+          "ac_charge": {
+            "items": {
+              "type": "number"
+            },
             "type": "array",
-            "title": "Detail"
+            "title": "Ac Charge",
+            "description": "Array with AC charging values as relative power (0-1), other values set to 0."
+          },
+          "dc_charge": {
+            "items": {
+              "type": "number"
+            },
+            "type": "array",
+            "title": "Dc Charge",
+            "description": "Array with DC charging values as relative power (0-1), other values set to 0."
+          },
+          "discharge_allowed": {
+            "items": {
+              "type": "integer"
+            },
+            "type": "array",
+            "title": "Discharge Allowed",
+            "description": "Array with discharge values (1 for discharge, 0 otherwise)."
+          },
+          "eautocharge_hours_float": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Eautocharge Hours Float",
+            "description": "TBD"
+          },
+          "result": {
+            "$ref": "#/components/schemas/SimulationResult"
+          },
+          "eauto_obj": {
+            "anyOf": [
+              {
+                "$ref": "#/components/schemas/EAutoResult"
+              },
+              {
+                "type": "null"
+              }
+            ]
+          },
+          "start_solution": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Start Solution",
+            "description": "An array of binary values (0 or 1) representing a possible starting solution for the simulation."
+          },
+          "washingstart": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Washingstart",
+            "description": "Can be `null` or contain an object representing the start of washing (if applicable)."
           }
         },
         "type": "object",
-        "title": "HTTPValidationError"
+        "required": [
+          "ac_charge",
+          "dc_charge",
+          "discharge_allowed",
+          "eautocharge_hours_float",
+          "result",
+          "eauto_obj"
+        ],
+        "title": "OptimizeResponse",
+        "description": "**Note**: The first value of \"Last_Wh_pro_Stunde\", \"Netzeinspeisung_Wh_pro_Stunde\" and \"Netzbezug_Wh_pro_Stunde\", will be set to null in the JSON output and represented as NaN or None in the corresponding classes' data returns. This approach is adopted to ensure that the current hour's processing remains unchanged."
       },
-      "HomeApplianceParameters": {
+      "PVAkkuParameters": {
         "properties": {
-          "consumption_wh": {
+          "kapazitaet_wh": {
             "type": "integer",
             "exclusiveMinimum": 0.0,
-            "title": "Consumption Wh",
-            "description": "An integer representing the energy consumption of a household device in watt-hours."
+            "title": "Kapazitaet Wh",
+            "description": "An integer representing the capacity of the battery in watt-hours."
+          },
+          "lade_effizienz": {
+            "type": "number",
+            "maximum": 1.0,
+            "exclusiveMinimum": 0.0,
+            "title": "Lade Effizienz",
+            "description": "A float representing the charging efficiency of the battery.",
+            "default": 0.88
+          },
+          "entlade_effizienz": {
+            "type": "number",
+            "maximum": 1.0,
+            "exclusiveMinimum": 0.0,
+            "title": "Entlade Effizienz",
+            "default": 0.88
+          },
+          "max_ladeleistung_w": {
+            "anyOf": [
+              {
+                "type": "number",
+                "exclusiveMinimum": 0.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Max Ladeleistung W",
+            "description": "An integer representing the charging power of the battery in watts.",
+            "default": 5000
+          },
+          "start_soc_prozent": {
+            "type": "integer",
+            "maximum": 100.0,
+            "minimum": 0.0,
+            "title": "Start Soc Prozent",
+            "description": "An integer representing the state of charge of the battery at the **start** of the current hour (not the current state).",
+            "default": 0
+          },
+          "min_soc_prozent": {
+            "type": "integer",
+            "maximum": 100.0,
+            "minimum": 0.0,
+            "title": "Min Soc Prozent",
+            "description": "An integer representing the minimum state of charge (SOC) of the battery in percentage.",
+            "default": 0
+          },
+          "max_soc_prozent": {
+            "type": "integer",
+            "maximum": 100.0,
+            "minimum": 0.0,
+            "title": "Max Soc Prozent",
+            "default": 100
+          }
+        },
+        "type": "object",
+        "required": [
+          "kapazitaet_wh"
+        ],
+        "title": "PVAkkuParameters"
+      },
+      "SettingsEOS": {
+        "properties": {
+          "server_fastapi_host": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "ipvanyaddress"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Server Fastapi Host",
+            "description": "FastAPI server IP address.",
+            "default": "0.0.0.0"
+          },
+          "server_fastapi_port": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Server Fastapi Port",
+            "description": "FastAPI server IP port number.",
+            "default": 8503
+          },
+          "server_fasthtml_host": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "ipvanyaddress"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Server Fasthtml Host",
+            "description": "FastHTML server IP address.",
+            "default": "0.0.0.0"
+          },
+          "server_fasthtml_port": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Server Fasthtml Port",
+            "description": "FastHTML server IP port number.",
+            "default": 8504
+          },
+          "weatherimport_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Weatherimport File Path",
+            "description": "Path to the file to import weather data from."
+          },
+          "weatherimport_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Weatherimport Json",
+            "description": "JSON string, dictionary of weather forecast value lists."
+          },
+          "weather_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Weather Provider",
+            "description": "Weather provider id of provider to be used.",
+            "default": "ClearOutside"
+          },
+          "pvforecastimport_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecastimport File Path",
+            "description": "Path to the file to import pvforecast data from."
+          },
+          "pvforecastimport_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecastimport Json",
+            "description": "JSON string, dictionary of PV forecast float value lists.Keys are 'pvforecast_dc_power', 'pvforecast_ac_power'."
+          },
+          "pvforecast_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast Provider",
+            "description": "PVForecast provider id of provider to be used."
+          },
+          "pvforecast0_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast0_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast0_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast0_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast0_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast0_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast0_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Loss",
+            "description": "Sum of PV system losses in percent"
+          },
+          "pvforecast0_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast0_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast0_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast0_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast0_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast0_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast0_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast0_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast0_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast0 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "pvforecast1_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast1_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast1_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast1_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast1_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast1_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast1_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Loss",
+            "description": "Sum of PV system losses in percent",
+            "default": 0
+          },
+          "pvforecast1_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast1_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast1_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast1_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast1_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast1_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast1_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast1_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast1_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast1 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "pvforecast2_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast2_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast2_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast2_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast2_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast2_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast2_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Loss",
+            "description": "Sum of PV system losses in percent",
+            "default": 0
+          },
+          "pvforecast2_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast2_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast2_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast2_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast2_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast2_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast2_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast2_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast2_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast2 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "pvforecast3_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast3_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast3_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast3_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast3_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast3_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast3_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Loss",
+            "description": "Sum of PV system losses in percent",
+            "default": 0
+          },
+          "pvforecast3_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast3_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast3_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast3_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast3_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast3_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast3_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast3_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast3_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast3 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "pvforecast4_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Surface Tilt",
+            "description": "Tilt angle from horizontal plane. Ignored for two-axis tracking.",
+            "default": 0
+          },
+          "pvforecast4_surface_azimuth": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Surface Azimuth",
+            "description": "Orientation (azimuth angle) of the (fixed) plane. Clockwise from north (north=0, east=90, south=180, west=270).",
+            "default": 180
+          },
+          "pvforecast4_userhorizon": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Userhorizon",
+            "description": "Elevation of horizon in degrees, at equally spaced azimuth clockwise from north."
+          },
+          "pvforecast4_peakpower": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Peakpower",
+            "description": "Nominal power of PV system in kW."
+          },
+          "pvforecast4_pvtechchoice": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Pvtechchoice",
+            "description": "PV technology. One of 'crystSi', 'CIS', 'CdTe', 'Unknown'.",
+            "default": "crystSi"
+          },
+          "pvforecast4_mountingplace": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Mountingplace",
+            "description": "Type of mounting for PV system. Options of 'free' for free-standing and 'building' for building-integrated.",
+            "default": "free"
+          },
+          "pvforecast4_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Loss",
+            "description": "Sum of PV system losses in percent",
+            "default": 0
+          },
+          "pvforecast4_trackingtype": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Trackingtype",
+            "description": "Type of suntracking. 0=fixed, 1=single horizontal axis aligned north-south, 2=two-axis tracking, 3=vertical axis tracking, 4=single horizontal axis aligned east-west, 5=single inclined axis aligned north-south.",
+            "default": 0
+          },
+          "pvforecast4_optimal_surface_tilt": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Optimal Surface Tilt",
+            "description": "Calculate the optimum tilt angle. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast4_optimalangles": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Optimalangles",
+            "description": "Calculate the optimum tilt and azimuth angles. Ignored for two-axis tracking.",
+            "default": false
+          },
+          "pvforecast4_albedo": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Albedo",
+            "description": "Proportion of the light hitting the ground that it reflects back."
+          },
+          "pvforecast4_module_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Module Model",
+            "description": "Model of the PV modules of this plane."
+          },
+          "pvforecast4_inverter_model": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Inverter Model",
+            "description": "Model of the inverter of this plane."
+          },
+          "pvforecast4_inverter_paco": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Inverter Paco",
+            "description": "AC power rating of the inverter. [W]"
+          },
+          "pvforecast4_modules_per_string": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Modules Per String",
+            "description": "Number of the PV modules of the strings of this plane."
+          },
+          "pvforecast4_strings_per_inverter": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Pvforecast4 Strings Per Inverter",
+            "description": "Number of the strings of the inverter of this plane."
+          },
+          "load0_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load0 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load0_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load0 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "load1_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load1 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load1_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load1 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "load2_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load2 Import File Path",
+            "description": "Path to the file to import load data from."
           },
-          "duration_h": {
-            "type": "integer",
-            "exclusiveMinimum": 0.0,
-            "title": "Duration H",
-            "description": "An integer representing the usage duration of a household device in hours."
-          }
-        },
-        "type": "object",
-        "required": [
-          "consumption_wh",
-          "duration_h"
-        ],
-        "title": "HomeApplianceParameters"
-      },
-      "OptimizationParameters": {
-        "properties": {
-          "ems": {
-            "$ref": "#/components/schemas/EnergieManagementSystemParameters"
+          "load2_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load2 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "load3_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load3 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load3_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load3 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "load4_import_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load4 Import File Path",
+            "description": "Path to the file to import load data from."
+          },
+          "load4_import_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load4 Import Json",
+            "description": "JSON string, dictionary of load forecast value lists."
+          },
+          "loadakkudoktor_year_energy": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Loadakkudoktor Year Energy",
+            "description": "Yearly energy consumption (kWh)."
+          },
+          "load0_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load0 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load0_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load0 Name",
+            "description": "Name of the load source."
+          },
+          "load1_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load1 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load1_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load1 Name",
+            "description": "Name of the load source."
+          },
+          "load2_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load2 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load2_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load2 Name",
+            "description": "Name of the load source."
+          },
+          "load3_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load3 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load3_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load3 Name",
+            "description": "Name of the load source."
+          },
+          "load4_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load4 Provider",
+            "description": "Load provider id of provider to be used."
+          },
+          "load4_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Load4 Name",
+            "description": "Name of the load source."
+          },
+          "elecpriceimport_file_path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Elecpriceimport File Path",
+            "description": "Path to the file to import elecprice data from."
+          },
+          "elecpriceimport_json": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Elecpriceimport Json",
+            "description": "JSON string, dictionary of electricity price forecast value lists."
+          },
+          "elecprice_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Elecprice Provider",
+            "description": "Electicity price provider id of provider to be used.",
+            "default": "ElecPriceAkkudoktor"
+          },
+          "prediction_hours": {
+            "anyOf": [
+              {
+                "type": "integer",
+                "minimum": 0.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Prediction Hours",
+            "description": "Number of hours into the future for predictions",
+            "default": 48
+          },
+          "prediction_historic_hours": {
+            "anyOf": [
+              {
+                "type": "integer",
+                "minimum": 0.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Prediction Historic Hours",
+            "description": "Number of hours into the past for historical predictions data",
+            "default": 48
+          },
+          "latitude": {
+            "anyOf": [
+              {
+                "type": "number",
+                "maximum": 90.0,
+                "minimum": -90.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Latitude",
+            "description": "Latitude in decimal degrees, between -90 and 90, north is positive (ISO 19115) (\u00b0)"
+          },
+          "longitude": {
+            "anyOf": [
+              {
+                "type": "number",
+                "maximum": 180.0,
+                "minimum": -180.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Longitude",
+            "description": "Longitude in decimal degrees, within -180 to 180 (\u00b0)"
+          },
+          "optimization_hours": {
+            "anyOf": [
+              {
+                "type": "integer",
+                "minimum": 0.0
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Optimization Hours",
+            "description": "Number of hours into the future for optimizations.",
+            "default": 24
+          },
+          "optimization_penalty": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Optimization Penalty",
+            "description": "Penalty factor used in optimization.",
+            "default": 10
+          },
+          "optimization_ev_available_charge_rates_percent": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "number"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Optimization Ev Available Charge Rates Percent",
+            "description": "Charge rates available for the EV in percent of maximum charge.",
+            "default": [
+              0.0,
+              0.375,
+              0.5,
+              0.625,
+              0.75,
+              0.875,
+              1.0
+            ]
+          },
+          "battery_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Provider",
+            "description": "Id of Battery simulation provider."
+          },
+          "battery_capacity": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Capacity",
+            "description": "Battery capacity [Wh]."
           },
-          "pv_akku": {
-            "$ref": "#/components/schemas/PVAkkuParameters"
+          "battery_soc_start": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Soc Start",
+            "description": "Battery initial state of charge [%]."
           },
-          "wechselrichter": {
-            "$ref": "#/components/schemas/WechselrichterParameters",
-            "default": {
-              "max_leistung_wh": 10000.0
-            }
+          "battery_soc_min": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Battery Soc Min",
+            "description": "Battery minimum state of charge [%]."
           },
-          "eauto": {
+          "battery_soc_max": {
             "anyOf": [
               {
-                "$ref": "#/components/schemas/EAutoParameters"
+                "type": "integer"
               },
               {
                 "type": "null"
               }
-            ]
+            ],
+            "title": "Battery Soc Max",
+            "description": "Battery maximum state of charge [%]."
           },
-          "dishwasher": {
+          "battery_charge_efficiency": {
             "anyOf": [
               {
-                "$ref": "#/components/schemas/HomeApplianceParameters"
+                "type": "number"
               },
               {
                 "type": "null"
               }
-            ]
+            ],
+            "title": "Battery Charge Efficiency",
+            "description": "Battery charging efficiency [%]."
           },
-          "temperature_forecast": {
+          "battery_discharge_efficiency": {
             "anyOf": [
               {
-                "items": {
-                  "type": "number"
-                },
-                "type": "array"
+                "type": "number"
               },
               {
                 "type": "null"
               }
             ],
-            "title": "Temperature Forecast",
-            "description": "An array of floats representing the temperature forecast in degrees Celsius for different time intervals."
+            "title": "Battery Discharge Efficiency",
+            "description": "Battery discharging efficiency [%]."
           },
-          "start_solution": {
+          "battery_charge_power_max": {
             "anyOf": [
               {
-                "items": {
-                  "type": "number"
-                },
-                "type": "array"
+                "type": "integer"
               },
               {
                 "type": "null"
               }
             ],
-            "title": "Start Solution",
-            "description": "Can be `null` or contain a previous solution (if available)."
-          }
-        },
-        "type": "object",
-        "required": [
-          "ems",
-          "pv_akku",
-          "eauto"
-        ],
-        "title": "OptimizationParameters"
-      },
-      "OptimizeResponse": {
-        "properties": {
-          "ac_charge": {
-            "items": {
-              "type": "number"
-            },
-            "type": "array",
-            "title": "Ac Charge",
-            "description": "Array with AC charging values as relative power (0-1), other values set to 0."
+            "title": "Battery Charge Power Max",
+            "description": "Battery maximum charge power [W]."
           },
-          "dc_charge": {
-            "items": {
-              "type": "number"
-            },
-            "type": "array",
-            "title": "Dc Charge",
-            "description": "Array with DC charging values as relative power (0-1), other values set to 0."
+          "bev_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Provider",
+            "description": "Id of Battery Electric Vehicle simulation provider."
           },
-          "discharge_allowed": {
-            "items": {
-              "type": "integer"
-            },
-            "type": "array",
-            "title": "Discharge Allowed",
-            "description": "Array with discharge values (1 for discharge, 0 otherwise)."
+          "bev_capacity": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Capacity",
+            "description": "Battery Electric Vehicle capacity [Wh]."
           },
-          "eautocharge_hours_float": {
+          "bev_soc_start": {
             "anyOf": [
               {
-                "items": {
-                  "type": "number"
-                },
-                "type": "array"
+                "type": "integer"
               },
               {
                 "type": "null"
               }
             ],
-            "title": "Eautocharge Hours Float",
-            "description": "TBD"
+            "title": "Bev Soc Start",
+            "description": "Battery Electric Vehicle initial state of charge [%]."
           },
-          "result": {
-            "$ref": "#/components/schemas/SimulationResult"
+          "bev_soc_max": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Bev Soc Max",
+            "description": "Battery Electric Vehicle maximum state of charge [%]."
           },
-          "eauto_obj": {
+          "bev_charge_efficiency": {
             "anyOf": [
               {
-                "$ref": "#/components/schemas/EAutoResult"
+                "type": "number"
               },
               {
                 "type": "null"
               }
-            ]
+            ],
+            "title": "Bev Charge Efficiency",
+            "description": "Battery Electric Vehicle charging efficiency [%]."
           },
-          "start_solution": {
+          "bev_discharge_efficiency": {
             "anyOf": [
               {
-                "items": {
-                  "type": "number"
-                },
-                "type": "array"
+                "type": "number"
               },
               {
                 "type": "null"
               }
             ],
-            "title": "Start Solution",
-            "description": "An array of binary values (0 or 1) representing a possible starting solution for the simulation."
+            "title": "Bev Discharge Efficiency",
+            "description": "Battery Electric Vehicle discharging efficiency [%]."
           },
-          "washingstart": {
+          "bev_charge_power_max": {
             "anyOf": [
               {
                 "type": "integer"
@@ -672,88 +4774,114 @@
                 "type": "null"
               }
             ],
-            "title": "Washingstart",
-            "description": "Can be `null` or contain an object representing the start of washing (if applicable)."
-          }
-        },
-        "type": "object",
-        "required": [
-          "ac_charge",
-          "dc_charge",
-          "discharge_allowed",
-          "eautocharge_hours_float",
-          "result",
-          "eauto_obj"
-        ],
-        "title": "OptimizeResponse",
-        "description": "**Note**: The first value of \"Last_Wh_pro_Stunde\", \"Netzeinspeisung_Wh_pro_Stunde\" and \"Netzbezug_Wh_pro_Stunde\", will be set to null in the JSON output and represented as NaN or None in the corresponding classes' data returns. This approach is adopted to ensure that the current hour's processing remains unchanged."
-      },
-      "PVAkkuParameters": {
-        "properties": {
-          "kapazitaet_wh": {
-            "type": "integer",
-            "exclusiveMinimum": 0.0,
-            "title": "Kapazitaet Wh",
-            "description": "An integer representing the capacity of the battery in watt-hours."
+            "title": "Bev Charge Power Max",
+            "description": "Battery Electric Vehicle maximum charge power [W]."
           },
-          "lade_effizienz": {
-            "type": "number",
-            "maximum": 1.0,
-            "exclusiveMinimum": 0.0,
-            "title": "Lade Effizienz",
-            "description": "A float representing the charging efficiency of the battery.",
-            "default": 0.88
+          "dishwasher_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Dishwasher Provider",
+            "description": "Id of Dish Washer simulation provider."
           },
-          "entlade_effizienz": {
-            "type": "number",
-            "maximum": 1.0,
-            "exclusiveMinimum": 0.0,
-            "title": "Entlade Effizienz",
-            "default": 0.88
+          "dishwasher_consumption": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Dishwasher Consumption",
+            "description": "Dish Washer energy consumption [Wh]."
           },
-          "max_ladeleistung_w": {
+          "dishwasher_duration": {
             "anyOf": [
               {
-                "type": "number",
-                "exclusiveMinimum": 0.0
+                "type": "integer"
               },
               {
                 "type": "null"
               }
             ],
-            "title": "Max Ladeleistung W",
-            "description": "An integer representing the charging power of the battery in watts.",
-            "default": 5000
+            "title": "Dishwasher Duration",
+            "description": "Dish Washer usage duration [h]."
           },
-          "start_soc_prozent": {
-            "type": "integer",
-            "maximum": 100.0,
-            "minimum": 0.0,
-            "title": "Start Soc Prozent",
-            "description": "An integer representing the state of charge of the battery at the **start** of the current hour (not the current state).",
-            "default": 0
+          "inverter_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Inverter Provider",
+            "description": "Id of PV Inverter simulation provider."
           },
-          "min_soc_prozent": {
-            "type": "integer",
-            "maximum": 100.0,
-            "minimum": 0.0,
-            "title": "Min Soc Prozent",
-            "description": "An integer representing the minimum state of charge (SOC) of the battery in percentage.",
-            "default": 0
+          "inverter_power_max": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Inverter Power Max",
+            "description": "Inverter maximum power [W]."
           },
-          "max_soc_prozent": {
-            "type": "integer",
-            "maximum": 100.0,
-            "minimum": 0.0,
-            "title": "Max Soc Prozent",
-            "default": 100
+          "data_folder_path": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Data Folder Path",
+            "description": "Path to EOS data directory."
+          },
+          "data_output_subpath": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Data Output Subpath",
+            "description": "Sub-path for the EOS output data directory.",
+            "default": "output"
+          },
+          "data_cache_subpath": {
+            "anyOf": [
+              {
+                "type": "string",
+                "format": "path"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Data Cache Subpath",
+            "description": "Sub-path for the EOS cache data directory.",
+            "default": "cache"
           }
         },
         "type": "object",
-        "required": [
-          "kapazitaet_wh"
-        ],
-        "title": "PVAkkuParameters"
+        "title": "SettingsEOS",
+        "description": "Settings for all EOS."
       },
       "SimulationResult": {
         "properties": {
diff --git a/requirements.txt b/requirements.txt
index a58180f..0ad7318 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,8 +1,8 @@
 numpy==2.1.3
 matplotlib==3.9.2
 fastapi[standard]==0.115.5
+python-fasthtml==0.9.1
 uvicorn==0.32.1
-pydantic==2.10.1
 scikit-learn==1.5.2
 timezonefinder==6.5.5
 deap==1.4.1
diff --git a/src/akkudoktoreos/server/fastapi_server.py b/src/akkudoktoreos/server/fastapi_server.py
index 84a2aff..1188c41 100755
--- a/src/akkudoktoreos/server/fastapi_server.py
+++ b/src/akkudoktoreos/server/fastapi_server.py
@@ -1,37 +1,54 @@
 #!/usr/bin/env python3
 
-import os
-from datetime import datetime
+import subprocess
+import sys
+from contextlib import asynccontextmanager
 from pathlib import Path
-from typing import Annotated, Any, Optional
+from typing import Annotated, Any, AsyncGenerator, Optional, Union
 
-import matplotlib
+import httpx
+import pandas as pd
 import uvicorn
+from fastapi import FastAPI, Query, Request
 from fastapi.exceptions import HTTPException
+from fastapi.responses import FileResponse, RedirectResponse, Response
+from pendulum import DateTime
 
-# Sets the Matplotlib backend to 'Agg' for rendering plots in environments without a display
-matplotlib.use("Agg")
-
-import pandas as pd
-from fastapi import FastAPI, Query
-from fastapi.responses import FileResponse, RedirectResponse
-
-from akkudoktoreos.config import (
-    SetupIncomplete,
-    get_start_enddate,
-    get_working_dir,
-    load_config,
-)
+from akkudoktoreos.config.config import ConfigEOS, SettingsEOS, get_config
+from akkudoktoreos.core.pydantic import PydanticBaseModel
 from akkudoktoreos.optimization.genetic import (
     OptimizationParameters,
     OptimizeResponse,
     optimization_problem,
 )
+
+# Still to be adapted
 from akkudoktoreos.prediction.load_container import Gesamtlast
 from akkudoktoreos.prediction.load_corrector import LoadPredictionAdjuster
 from akkudoktoreos.prediction.load_forecast import LoadForecast
-from akkudoktoreos.prediction.price_forecast import HourlyElectricityPriceForecast
-from akkudoktoreos.prediction.pv_forecast import ForecastResponse, PVForecast
+from akkudoktoreos.prediction.prediction import get_prediction
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+config_eos = get_config()
+prediction_eos = get_prediction()
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
+    """Lifespan manager for the app."""
+    # Onstartup
+    if config_eos.server_fasthtml_host and config_eos.server_fasthtml_port:
+        try:
+            fasthtml_process = start_fasthtml_server()
+        except Exception as e:
+            logger.error(f"Failed to start FastHTML server. Error: {e}")
+            sys.exit(1)
+    # Handover to application
+    yield
+    # On shutdown
+    # nothing to do
+
 
 app = FastAPI(
     title="Akkudoktor-EOS",
@@ -42,12 +59,12 @@
         "name": "Apache 2.0",
         "url": "https://www.apache.org/licenses/LICENSE-2.0.html",
     },
+    lifespan=lifespan,
 )
 
-working_dir = get_working_dir()
-# copy config to working directory. Make this a CLI option later
-config = load_config(working_dir, True)
-opt_class = optimization_problem(config)
+# That's the problem
+opt_class = optimization_problem()
+
 server_dir = Path(__file__).parent.resolve()
 
 
@@ -55,18 +72,40 @@ class PdfResponse(FileResponse):
     media_type = "application/pdf"
 
 
+@app.get("/config")
+def fastapi_config_get() -> ConfigEOS:
+    """Get the current configuration."""
+    return config_eos
+
+
+@app.put("/config")
+def fastapi_config_put(settings: SettingsEOS) -> ConfigEOS:
+    """Merge settings into current configuration."""
+    config_eos.merge_settings(settings)
+    return config_eos
+
+
+@app.get("/prediction/keys")
+def fastapi_prediction_keys() -> list[str]:
+    """Get a list of available prediction keys."""
+    return sorted(list(prediction_eos.keys()))
+
+
+@app.get("/prediction")
+def fastapi_prediction(key: str) -> list[Union[float | str]]:
+    """Get the current configuration."""
+    values = prediction_eos[key].to_list()
+    return values
+
+
 @app.get("/strompreis")
 def fastapi_strompreis() -> list[float]:
     # Get the current date and the end date based on prediction hours
-    date_now, date = get_start_enddate(config.eos.prediction_hours, startdate=datetime.now().date())
-    price_forecast = HourlyElectricityPriceForecast(
-        source=f"https://api.akkudoktor.net/prices?start={date_now}&end={date}",
-        config=config,
-        use_cache=False,
-    )
-    specific_date_prices = price_forecast.get_price_for_daterange(
-        date_now, date
-    )  # Fetch prices for the specified date range
+    marketprice_series = prediction_eos["elecprice_marketprice"]
+    # Fetch prices for the specified date range
+    specific_date_prices = marketprice_series.loc[
+        prediction_eos.start_datetime : prediction_eos.end_datetime
+    ]
     return specific_date_prices.tolist()
 
 
@@ -74,7 +113,7 @@ def fastapi_strompreis() -> list[float]:
 def fastapi_gesamtlast(
     year_energy: float,
     measured_data: list[dict[str, Any]],
-    hours: int = config.eos.prediction_hours,
+    hours: int = config_eos.prediction_hours if config_eos.prediction_hours else 48,
 ) -> list[float]:
     """Endpoint to handle total load calculation based on the latest measured data."""
     # Measured data in JSON format
@@ -131,26 +170,19 @@ def fastapi_gesamtlast(
 
 @app.get("/gesamtlast_simple")
 def fastapi_gesamtlast_simple(year_energy: float) -> list[float]:
-    date_now, date = get_start_enddate(
-        config.eos.prediction_hours, startdate=datetime.now().date()
-    )  # Get the current date and prediction end date
-
     ###############
     # Load Forecast
     ###############
     lf = LoadForecast(
         filepath=server_dir / ".." / "data" / "load_profiles.npz", year_energy=year_energy
     )  # Instantiate LoadForecast with specified parameters
-    leistung_haushalt = lf.get_stats_for_date_range(date_now, date)[
-        0
-    ]  # Get expected household load for the date range
+    leistung_haushalt = lf.get_stats_for_date_range(
+        prediction_eos.start_datetime, prediction_eos.end_datetime
+    )[0]  # Get expected household load for the date range
 
-    gesamtlast = Gesamtlast(
-        prediction_hours=config.eos.prediction_hours
-    )  # Create Gesamtlast instance
-    gesamtlast.hinzufuegen(
-        "Haushalt", leistung_haushalt
-    )  # Add household load to total load calculation
+    prediction_hours = config_eos.prediction_hours if config_eos.prediction_hours else 48
+    gesamtlast = Gesamtlast(prediction_hours=prediction_hours)  # Create Gesamtlast instance
+    gesamtlast.hinzufuegen("Haushalt", leistung_haushalt)  # Add household to total load calculation
 
     # ###############
     # # WP (Heat Pump)
@@ -163,27 +195,31 @@ def fastapi_gesamtlast_simple(year_energy: float) -> list[float]:
     return last.tolist()  # Return total load as JSON
 
 
-@app.get("/pvforecast")
-def fastapi_pvprognose(url: str, ac_power_measurement: Optional[float] = None) -> ForecastResponse:
-    date_now, date = get_start_enddate(config.eos.prediction_hours, startdate=datetime.now().date())
+class ForecastResponse(PydanticBaseModel):
+    temperature: list[float]
+    pvpower: list[float]
+
 
+@app.get("/pvforecast")
+def fastapi_pvprognose(ac_power_measurement: Optional[float] = None) -> ForecastResponse:
     ###############
     # PV Forecast
     ###############
-    PVforecast = PVForecast(
-        prediction_hours=config.eos.prediction_hours, url=url
-    )  # Instantiate PVForecast with given parameters
-    if ac_power_measurement is not None:
-        PVforecast.update_ac_power_measurement(
-            date_time=datetime.now(),
-            ac_power_measurement=ac_power_measurement,
-        )  # Update measurement
-
-    # Get PV forecast and temperature forecast for the specified date range
-    pv_forecast = PVforecast.get_pv_forecast_for_date_range(date_now, date)
-    temperature_forecast = PVforecast.get_temperature_for_date_range(date_now, date)
-
-    return ForecastResponse(temperature=temperature_forecast.tolist(), pvpower=pv_forecast.tolist())
+    pvforecast_ac_power = prediction_eos["pvforecast_ac_power"]
+    # Fetch prices for the specified date range
+    pvforecast_ac_power = pvforecast_ac_power.loc[
+        prediction_eos.start_datetime : prediction_eos.end_datetime
+    ]
+    pvforecastakkudoktor_temp_air = prediction_eos["pvforecastakkudoktor_temp_air"]
+    # Fetch prices for the specified date range
+    pvforecastakkudoktor_temp_air = pvforecastakkudoktor_temp_air.loc[
+        prediction_eos.start_datetime : prediction_eos.end_datetime
+    ]
+
+    # Return both forecasts as a JSON response
+    return ForecastResponse(
+        temperature=pvforecastakkudoktor_temp_air.tolist(), pvpower=pvforecast_ac_power.tolist()
+    )
 
 
 @app.post("/optimize")
@@ -194,7 +230,11 @@ def fastapi_optimize(
     ] = None,
 ) -> OptimizeResponse:
     if start_hour is None:
-        start_hour = datetime.now().hour
+        start_hour = DateTime.now().hour
+
+    # TODO: Remove when config and prediction update is done by EMS.
+    config_eos.update()
+    prediction_eos.update_data()
 
     # Perform optimization simulation
     result = opt_class.optimierung_ems(parameters=parameters, start_hour=start_hour)
@@ -205,9 +245,9 @@ def fastapi_optimize(
 @app.get("/visualization_results.pdf", response_class=PdfResponse)
 def get_pdf() -> PdfResponse:
     # Endpoint to serve the generated PDF with visualization results
-    output_path = config.working_dir / config.directories.output
+    output_path = config_eos.data_output_path
     if not output_path.is_dir():
-        raise SetupIncomplete(f"Output path does not exist: {output_path}.")
+        raise ValueError(f"Output path does not exist: {output_path}.")
     file_path = output_path / "visualization_results.pdf"
     if not file_path.is_file():
         raise HTTPException(status_code=404, detail="No visualization result available.")
@@ -219,29 +259,84 @@ def site_map() -> RedirectResponse:
     return RedirectResponse(url="/docs")
 
 
-@app.get("/", include_in_schema=False)
-def root() -> RedirectResponse:
-    # Redirect the root URL to the site map
-    return RedirectResponse(url="/docs")
+# Keep this last
+# Also keep the single endpoints to assure openai.json is always build the same way.
 
 
-if __name__ == "__main__":
-    try:
-        config.run_setup()
-    except Exception as e:
-        print(f"Failed to initialize: {e}")
-        exit(1)
+@app.delete("/{path:path}")
+async def proxy_delete(request: Request, path: str) -> Response:
+    return await proxy(request, path)
+
+
+@app.get("/{path:path}")
+async def proxy_get(request: Request, path: str) -> Response:
+    return await proxy(request, path)
+
+
+@app.post("/{path:path}")
+async def proxy_post(request: Request, path: str) -> Response:
+    return await proxy(request, path)
+
+
+@app.put("/{path:path}")
+async def proxy_put(request: Request, path: str) -> Response:
+    return await proxy(request, path)
+
 
-    # Set host and port from environment variables or defaults
-    host = os.getenv("EOS_RUN_HOST", "0.0.0.0")
-    port = os.getenv("EOS_RUN_PORT", 8503)
+async def proxy(request: Request, path: str) -> Union[Response | RedirectResponse]:
+    if config_eos.server_fasthtml_host and config_eos.server_fasthtml_port:
+        # Proxy to fasthtml server
+        url = f"http://{config_eos.server_fasthtml_host}:{config_eos.server_fasthtml_port}/{path}"
+        headers = dict(request.headers)
+
+        data = await request.body()
+
+        async with httpx.AsyncClient() as client:
+            if request.method == "GET":
+                response = await client.get(url, headers=headers)
+            elif request.method == "POST":
+                response = await client.post(url, headers=headers, content=data)
+            elif request.method == "PUT":
+                response = await client.put(url, headers=headers, content=data)
+            elif request.method == "DELETE":
+                response = await client.delete(url, headers=headers, content=data)
+
+        return Response(
+            content=response.content,
+            status_code=response.status_code,
+            headers=dict(response.headers),
+        )
+    else:
+        # Redirect the root URL to the site map
+        return RedirectResponse(url="/docs")
+
+
+def start_fasthtml_server() -> subprocess.Popen:
+    """Start the fasthtml server as a subprocess."""
+    server_process = subprocess.Popen(
+        [sys.executable, str(server_dir.joinpath("fasthtml_server.py"))],
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+    )
+    return server_process
+
+
+def start_fastapi_server() -> None:
+    """Start FastAPI server."""
     try:
-        uvicorn.run(app, host=host, port=int(port))  # Run the FastAPI application
+        uvicorn.run(
+            app,
+            host=str(config_eos.server_fastapi_host),
+            port=config_eos.server_fastapi_port,
+            log_level="debug",
+            access_log=True,
+        )
     except Exception as e:
-        print(
-            f"Could not bind to host {host}:{port}. Error: {e}"
-        )  # Error handling for binding issues
-        exit(1)
-else:
-    # started from cli / dev server
-    config.run_setup()
+        logger.error(
+            f"Could not bind to host {config_eos.server_fastapi_host}:{config_eos.server_fastapi_port}. Error: {e}"
+        )
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    start_fastapi_server()
diff --git a/src/akkudoktoreos/server/fasthtml_server.py b/src/akkudoktoreos/server/fasthtml_server.py
new file mode 100644
index 0000000..6e3607c
--- /dev/null
+++ b/src/akkudoktoreos/server/fasthtml_server.py
@@ -0,0 +1,60 @@
+import uvicorn
+from fasthtml.common import H1, FastHTML, Table, Td, Th, Thead, Titled, Tr
+
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+config_eos = get_config()
+
+
+configs = []
+for field_name in config_eos.model_fields:
+    config = {}
+    config["name"] = field_name
+    config["value"] = getattr(config_eos, field_name)
+    config["default"] = config_eos.model_fields[field_name].default
+    config["description"] = config_eos.model_fields[field_name].description
+    configs.append(config)
+
+
+app = FastHTML()
+rt = app.route
+
+
+def config_table() -> Table:
+    rows = [
+        Tr(
+            Td(config["name"]),
+            Td(config["value"]),
+            Td(config["default"]),
+            Td(config["description"]),
+            cls="even:bg-purple/5",
+        )
+        for config in configs
+    ]
+    flds = "Name", "Value", "Default", "Description"
+    head = Thead(*map(Th, flds), cls="bg-purple/10")
+    return Table(head, *rows, cls="w-full")
+
+
+@rt("/")
+def get():  # type: ignore
+    return Titled("EOS Config App", H1("Configuration"), config_table())
+
+
+if __name__ == "__main__":
+    try:
+        logger.info(
+            f"Starting {config_eos.server_fasthtml_host}:{config_eos.server_fasthtml_port}."
+        )
+        uvicorn.run(
+            app, host=str(config_eos.server_fasthtml_host), port=config_eos.server_fasthtml_port
+        )
+    except Exception as e:
+        # Error handling for binding issues
+        logger.error(
+            f"Could not bind to host {config_eos.server_fasthtml_host}:{config_eos.server_fasthtml_port}. Error: {e}"
+        )
+        exit(1)
diff --git a/src/akkudoktoreos/server/server.py b/src/akkudoktoreos/server/server.py
index c67a5c0..183e230 100644
--- a/src/akkudoktoreos/server/server.py
+++ b/src/akkudoktoreos/server/server.py
@@ -7,7 +7,7 @@
 from akkudoktoreos.config.configabc import SettingsBaseModel
 from akkudoktoreos.utils.logutil import get_logger
 
-logger = get_logger(__name__, logging_level="DEBUG")
+logger = get_logger(__name__)
 
 
 class ServerCommonSettings(SettingsBaseModel):
diff --git a/tests/test_openapi.py b/tests/test_openapi.py
index e2f88e8..0edcb0d 100644
--- a/tests/test_openapi.py
+++ b/tests/test_openapi.py
@@ -16,4 +16,9 @@ def test_openapi_spec_current():
         new_spec = json.load(f_new)
     with open(old_spec_path) as f_old:
         old_spec = json.load(f_old)
+
+    # Serialize to ensure comparison is consistent
+    new_spec = json.dumps(new_spec, indent=4, sort_keys=True)
+    old_spec = json.dumps(old_spec, indent=4, sort_keys=True)
+
     assert new_spec == old_spec
diff --git a/tests/test_server.py b/tests/test_server.py
index 5ec4758..f55970b 100644
--- a/tests/test_server.py
+++ b/tests/test_server.py
@@ -1,24 +1,17 @@
 from http import HTTPStatus
-from pathlib import Path
 
 import requests
 
-from akkudoktoreos.config import CONFIG_FILE_NAME, load_config
+from akkudoktoreos.config.config import get_config
 
-
-def test_fixture_setup(server, tmp_path: Path) -> None:
-    """Test if the fixture sets up the server with the env var."""
-    # validate correct path in server
-    config = load_config(tmp_path, False)
-    assert tmp_path.joinpath(CONFIG_FILE_NAME).is_file()
-    cache = tmp_path / config.directories.cache
-    assert cache.is_dir()
+config_eos = get_config()
 
 
-def test_server(server, tmp_path: Path):
+def test_server(server):
     """Test the server."""
-    result = requests.get(f"{server}/gesamtlast_simple?year_energy=2000&")
-    assert result.status_code == HTTPStatus.OK
+    # validate correct path in server
+    assert config_eos.data_folder_path is not None
+    assert config_eos.data_folder_path.is_dir()
 
-    config = load_config(tmp_path, False)
-    assert len(result.json()) == config.eos.prediction_hours
+    result = requests.get(f"{server}/config?")
+    assert result.status_code == HTTPStatus.OK

From d81c055552db1d054dba1354d8d669235d1a2779 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Wed, 20 Nov 2024 14:00:43 +0100
Subject: [PATCH 12/19] Add ems to core submodule.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/{prediction => core}/ems.py | 244 +++++++++++++++---
 tests/test_class_ems.py                       |  32 ++-
 tests/test_class_ems_2.py                     |  41 +--
 3 files changed, 243 insertions(+), 74 deletions(-)
 rename src/akkudoktoreos/{prediction => core}/ems.py (50%)

diff --git a/src/akkudoktoreos/prediction/ems.py b/src/akkudoktoreos/core/ems.py
similarity index 50%
rename from src/akkudoktoreos/prediction/ems.py
rename to src/akkudoktoreos/core/ems.py
index 985c41e..4230839 100644
--- a/src/akkudoktoreos/prediction/ems.py
+++ b/src/akkudoktoreos/core/ems.py
@@ -1,18 +1,24 @@
-from datetime import datetime
-from typing import Any, Dict, Optional, Union
+from typing import Any, Dict, List, Optional, Union
 
 import numpy as np
-from pydantic import BaseModel, Field, field_validator, model_validator
+from numpydantic import NDArray, Shape
+from pendulum import DateTime
+from pydantic import Field, field_validator, model_validator
 from typing_extensions import Self
 
-from akkudoktoreos.config import EOSConfig
+from akkudoktoreos.core.coreabc import ConfigMixin, PredictionMixin, SingletonMixin
+from akkudoktoreos.core.pydantic import PydanticBaseModel
 from akkudoktoreos.devices.battery import PVAkku
 from akkudoktoreos.devices.generic import HomeAppliance
 from akkudoktoreos.devices.inverter import Wechselrichter
+from akkudoktoreos.utils.datetimeutil import to_datetime
+from akkudoktoreos.utils.logutil import get_logger
 from akkudoktoreos.utils.utils import NumpyEncoder
 
+logger = get_logger(__name__)
 
-class EnergieManagementSystemParameters(BaseModel):
+
+class EnergieManagementSystemParameters(PydanticBaseModel):
     pv_prognose_wh: list[float] = Field(
         description="An array of floats representing the forecasted photovoltaic output in watts for different time intervals."
     )
@@ -22,7 +28,9 @@ class EnergieManagementSystemParameters(BaseModel):
     einspeiseverguetung_euro_pro_wh: list[float] | float = Field(
         description="A float or array of floats representing the feed-in compensation in euros per watt-hour."
     )
-    preis_euro_pro_wh_akku: float
+    preis_euro_pro_wh_akku: float = Field(
+        description="A float representing the cost of battery energy per watt-hour."
+    )
     gesamtlast: list[float] = Field(
         description="An array of floats representing the total load (consumption) in watts for different time intervals."
     )
@@ -42,7 +50,7 @@ def validate_list_length(self) -> Self:
         return self
 
 
-class SimulationResult(BaseModel):
+class SimulationResult(PydanticBaseModel):
     """This object contains the results of the simulation and provides insights into various parameters over the entire forecast period."""
 
     Last_Wh_pro_Stunde: list[Optional[float]] = Field(description="TBD")
@@ -95,16 +103,67 @@ def convert_numpy(cls, field: Any) -> Any:
         return NumpyEncoder.convert_numpy(field)[0]
 
 
-class EnergieManagementSystem:
-    def __init__(
+class EnergieManagementSystem(SingletonMixin, ConfigMixin, PredictionMixin, PydanticBaseModel):
+    start_datetime: Optional[DateTime] = Field(
+        default=None,
+        description="The starting datetime of the current or latest energy management.",
+    )
+
+    @field_validator("start_datetime", mode="after")
+    @classmethod
+    def validate_start_datetime(cls, value: Optional[DateTime]) -> DateTime:
+        start_datetime = value
+        if start_datetime is None:
+            start_datetime = to_datetime()
+        start_datetime = start_datetime.set(minute=0, second=0, microsecond=0)
+        logger.debug(f"Start datetime: '{start_datetime}' from '{value}'")
+        return start_datetime
+
+    # -------------------------
+    # TODO: Take from prediction
+    # -------------------------
+
+    gesamtlast: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None,
+        description="An array of floats representing the total load (consumption) in watts for different time intervals.",
+    )
+    pv_prognose_wh: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None,
+        description="An array of floats representing the forecasted photovoltaic output in watts for different time intervals.",
+    )
+    strompreis_euro_pro_wh: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None,
+        description="An array of floats representing the electricity price in euros per watt-hour for different time intervals.",
+    )
+    einspeiseverguetung_euro_pro_wh_arr: Optional[NDArray[Shape["*"], float]] = Field(
+        default=None,
+        description="An array of floats representing the feed-in compensation in euros per watt-hour.",
+    )
+
+    # -------------------------
+    # TODO: Move to devices
+    # -------------------------
+
+    akku: Optional[PVAkku] = Field(default=None, description="TBD.")
+    eauto: Optional[PVAkku] = Field(default=None, description="TBD.")
+    home_appliance: Optional[HomeAppliance] = Field(default=None, description="TBD.")
+    wechselrichter: Optional[Wechselrichter] = Field(default=None, description="TBD.")
+
+    # -------------------------
+    # TODO: Take from ???
+    # -------------------------
+
+    ac_charge_hours: Optional[NDArray[Shape["*"], float]] = Field(default=None, description="TBD")
+    dc_charge_hours: Optional[NDArray[Shape["*"], float]] = Field(default=None, description="TBD")
+    ev_charge_hours: Optional[NDArray[Shape["*"], float]] = Field(default=None, description="TBD")
+
+    def set_parameters(
         self,
-        config: EOSConfig,
         parameters: EnergieManagementSystemParameters,
-        wechselrichter: Wechselrichter,
         eauto: Optional[PVAkku] = None,
         home_appliance: Optional[HomeAppliance] = None,
-    ):
-        self.akku = wechselrichter.akku
+        wechselrichter: Optional[Wechselrichter] = None,
+    ) -> None:
         self.gesamtlast = np.array(parameters.gesamtlast, float)
         self.pv_prognose_wh = np.array(parameters.pv_prognose_wh, float)
         self.strompreis_euro_pro_wh = np.array(parameters.strompreis_euro_pro_wh, float)
@@ -113,15 +172,20 @@ def __init__(
             if isinstance(parameters.einspeiseverguetung_euro_pro_wh, list)
             else np.full(len(self.gesamtlast), parameters.einspeiseverguetung_euro_pro_wh, float)
         )
+        if wechselrichter is not None:
+            self.akku = wechselrichter.akku
+        else:
+            self.akku = None
         self.eauto = eauto
         self.home_appliance = home_appliance
         self.wechselrichter = wechselrichter
-        self.ac_charge_hours = np.full(config.prediction_hours, 0)
-        self.dc_charge_hours = np.full(config.prediction_hours, 1)
-        self.ev_charge_hours = np.full(config.prediction_hours, 0)
+        self.ac_charge_hours = np.full(self.config.prediction_hours, 0.0)
+        self.dc_charge_hours = np.full(self.config.prediction_hours, 1.0)
+        self.ev_charge_hours = np.full(self.config.prediction_hours, 0.0)
 
-    def set_akku_discharge_hours(self, ds: np.ndarray) -> None:
-        self.akku.set_discharge_per_hour(ds)
+    def set_akku_discharge_hours(self, ds: List[int]) -> None:
+        if self.akku is not None:
+            self.akku.set_discharge_per_hour(np.array(ds, int))
 
     def set_akku_ac_charge_hours(self, ds: np.ndarray) -> None:
         self.ac_charge_hours = ds
@@ -129,20 +193,73 @@ def set_akku_ac_charge_hours(self, ds: np.ndarray) -> None:
     def set_akku_dc_charge_hours(self, ds: np.ndarray) -> None:
         self.dc_charge_hours = ds
 
-    def set_ev_charge_hours(self, ds: np.ndarray) -> None:
+    def set_ev_charge_hours(self, ds: List[float]) -> None:
         self.ev_charge_hours = ds
 
-    def set_home_appliance_start(self, start_hour: int, global_start_hour: int = 0) -> None:
-        assert self.home_appliance is not None
-        self.home_appliance.set_starting_time(start_hour, global_start_hour=global_start_hour)
+    def set_home_appliance_start(self, ds: int, global_start_hour: int = 0) -> None:
+        if self.home_appliance is not None:
+            self.home_appliance.set_starting_time(ds, global_start_hour=global_start_hour)
 
     def reset(self) -> None:
         if self.eauto:
             self.eauto.reset()
-        self.akku.reset()
+        if self.akku:
+            self.akku.reset()
+
+    def run(
+        self,
+        start_hour: Optional[int] = None,
+        force_enable: Optional[bool] = False,
+        force_update: Optional[bool] = False,
+    ) -> None:
+        """Run energy management.
+
+        Sets `start_datetime` to current hour, updates the configuration and the prediction, and
+        starts simulation at current hour.
+
+        Args:
+            start_hour (int, optional): Hour to take as start time for the energy management. Defaults
+            to now.
+            force_enable (bool, optional): If True, forces to update even if disabled. This
+            is mostly relevant to prediction providers.
+            force_update (bool, optional): If True, forces to update the data even if still cached.
+        """
+        self.set_start_hour(start_hour=start_hour)
+        self.config.update()
+
+        # Check for run definitions
+        if self.start_datetime is None:
+            error_msg = "Start datetime unknown."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+        if self.config.prediction_hours is None:
+            error_msg = "Prediction hours unknown."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+        if self.config.optimisation_hours is None:
+            error_msg = "Optimisation hours unknown."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+        self.prediction.update_data(force_enable=force_enable, force_update=force_update)
+        # TODO: Create optimisation problem that calls into devices.update_data() for simulations.
+
+    def set_start_hour(self, start_hour: Optional[int] = None) -> None:
+        """Sets start datetime to given hour.
+
+        Args:
+            start_hour (int, optional): Hour to take as start time for the energy management. Defaults
+            to now.
+        """
+        if start_hour is None:
+            self.start_datetime = to_datetime().set(minute=0, second=0, microsecond=0)
+        else:
+            self.start_datetime = to_datetime().set(
+                hour=start_hour, minute=0, second=0, microsecond=0
+            )
 
     def simuliere_ab_jetzt(self) -> dict[str, Any]:
-        jetzt = datetime.now()
+        jetzt = to_datetime().now()
         start_stunde = jetzt.hour
         return self.simuliere(start_stunde)
 
@@ -152,10 +269,35 @@ def simuliere(self, start_stunde: int) -> dict[str, Any]:
         akku_soc_pro_stunde begin of the hour, initial hour state!
         last_wh_pro_stunde integral of  last hour (end state)
         """
+        # Check for simulation integrity
+        if (
+            self.gesamtlast is None
+            or self.pv_prognose_wh is None
+            or self.strompreis_euro_pro_wh is None
+            or self.ev_charge_hours is None
+            or self.ac_charge_hours is None
+            or self.dc_charge_hours is None
+            or self.einspeiseverguetung_euro_pro_wh_arr is None
+        ):
+            error_msg = (
+                f"Mandatory data missing - "
+                f"Load Curve: {self.gesamtlast}, "
+                f"PV Forecast: {self.pv_prognose_wh}, "
+                f"Electricity Price: {self.strompreis_euro_pro_wh}, "
+                f"EV Charge Hours: {self.ev_charge_hours}, "
+                f"AC Charge Hours: {self.ac_charge_hours}, "
+                f"DC Charge Hours: {self.dc_charge_hours}, "
+                f"Feed-in tariff: {self.einspeiseverguetung_euro_pro_wh_arr}"
+            )
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
         lastkurve_wh = self.gesamtlast
-        assert (
-            len(lastkurve_wh) == len(self.pv_prognose_wh) == len(self.strompreis_euro_pro_wh)
-        ), f"Array sizes do not match: Load Curve = {len(lastkurve_wh)}, PV Forecast = {len(self.pv_prognose_wh)}, Electricity Price = {len(self.strompreis_euro_pro_wh)}"
+
+        if not (len(lastkurve_wh) == len(self.pv_prognose_wh) == len(self.strompreis_euro_pro_wh)):
+            error_msg = f"Array sizes do not match: Load Curve = {len(lastkurve_wh)}, PV Forecast = {len(self.pv_prognose_wh)}, Electricity Price = {len(self.strompreis_euro_pro_wh)}"
+            logger.error(error_msg)
+            raise ValueError(error_msg)
 
         # Optimized total hours calculation
         ende = len(lastkurve_wh)
@@ -173,7 +315,8 @@ def simuliere(self, start_stunde: int) -> dict[str, Any]:
         home_appliance_wh_per_hour = np.full((total_hours), np.nan)
 
         # Set initial state
-        akku_soc_pro_stunde[0] = self.akku.ladezustand_in_prozent()
+        if self.akku:
+            akku_soc_pro_stunde[0] = self.akku.ladezustand_in_prozent()
         if self.eauto:
             eauto_soc_pro_stunde[0] = self.eauto.ladezustand_in_prozent()
 
@@ -183,30 +326,35 @@ def simuliere(self, start_stunde: int) -> dict[str, Any]:
             # Accumulate loads and PV generation
             verbrauch = self.gesamtlast[stunde]
             verluste_wh_pro_stunde[stunde_since_now] = 0.0
+
+            # Home appliances
             if self.home_appliance:
                 ha_load = self.home_appliance.get_load_for_hour(stunde)
                 verbrauch += ha_load
                 home_appliance_wh_per_hour[stunde_since_now] = ha_load
 
             # E-Auto handling
-            if self.eauto and self.ev_charge_hours[stunde] > 0:
-                geladene_menge_eauto, verluste_eauto = self.eauto.energie_laden(
-                    None, stunde, relative_power=self.ev_charge_hours[stunde]
-                )
-                verbrauch += geladene_menge_eauto
-                verluste_wh_pro_stunde[stunde_since_now] += verluste_eauto
-
             if self.eauto:
+                if self.ev_charge_hours[stunde] > 0:
+                    geladene_menge_eauto, verluste_eauto = self.eauto.energie_laden(
+                        None, stunde, relative_power=self.ev_charge_hours[stunde]
+                    )
+                    verbrauch += geladene_menge_eauto
+                    verluste_wh_pro_stunde[stunde_since_now] += verluste_eauto
                 eauto_soc_pro_stunde[stunde_since_now] = self.eauto.ladezustand_in_prozent()
+
             # Process inverter logic
-            erzeugung = self.pv_prognose_wh[stunde]
-            self.akku.set_charge_allowed_for_hour(self.dc_charge_hours[stunde], stunde)
-            netzeinspeisung, netzbezug, verluste, eigenverbrauch = (
-                self.wechselrichter.energie_verarbeiten(erzeugung, verbrauch, stunde)
-            )
+            netzeinspeisung, netzbezug, verluste, eigenverbrauch = (0.0, 0.0, 0.0, 0.0)
+            if self.akku:
+                self.akku.set_charge_allowed_for_hour(self.dc_charge_hours[stunde], stunde)
+            if self.wechselrichter:
+                erzeugung = self.pv_prognose_wh[stunde]
+                netzeinspeisung, netzbezug, verluste, eigenverbrauch = (
+                    self.wechselrichter.energie_verarbeiten(erzeugung, verbrauch, stunde)
+                )
 
             # AC PV Battery Charge
-            if self.ac_charge_hours[stunde] > 0.0:
+            if self.akku and self.ac_charge_hours[stunde] > 0.0:
                 self.akku.set_charge_allowed_for_hour(1, stunde)
                 geladene_menge, verluste_wh = self.akku.energie_laden(
                     None, stunde, relative_power=self.ac_charge_hours[stunde]
@@ -230,7 +378,10 @@ def simuliere(self, start_stunde: int) -> dict[str, Any]:
             )
 
             # Akku SOC tracking
-            akku_soc_pro_stunde[stunde_since_now] = self.akku.ladezustand_in_prozent()
+            if self.akku:
+                akku_soc_pro_stunde[stunde_since_now] = self.akku.ladezustand_in_prozent()
+            else:
+                akku_soc_pro_stunde[stunde_since_now] = 0.0
 
         # Total cost and return
         gesamtkosten_euro = np.nansum(kosten_euro_pro_stunde) - np.nansum(einnahmen_euro_pro_stunde)
@@ -253,3 +404,12 @@ def simuliere(self, start_stunde: int) -> dict[str, Any]:
         }
 
         return out
+
+
+# Initialize the Energy Management System, it is a singleton.
+ems = EnergieManagementSystem()
+
+
+def get_ems() -> EnergieManagementSystem:
+    """Gets the EOS Enery Managemnt System."""
+    return ems
diff --git a/tests/test_class_ems.py b/tests/test_class_ems.py
index 70c92b8..4b06af2 100644
--- a/tests/test_class_ems.py
+++ b/tests/test_class_ems.py
@@ -1,29 +1,33 @@
 import numpy as np
 import pytest
 
-from akkudoktoreos.config import AppConfig
-from akkudoktoreos.devices.battery import EAutoParameters, PVAkku, PVAkkuParameters
-from akkudoktoreos.devices.generic import HomeAppliance, HomeApplianceParameters
-from akkudoktoreos.devices.inverter import Wechselrichter, WechselrichterParameters
-from akkudoktoreos.prediction.ems import (
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import (
     EnergieManagementSystem,
     EnergieManagementSystemParameters,
     SimulationResult,
+    get_ems,
 )
+from akkudoktoreos.devices.battery import EAutoParameters, PVAkku, PVAkkuParameters
+from akkudoktoreos.devices.generic import HomeAppliance, HomeApplianceParameters
+from akkudoktoreos.devices.inverter import Wechselrichter, WechselrichterParameters
 
-prediction_hours = 48
-optimization_hours = 24
 start_hour = 1
 
 
 # Example initialization of necessary components
 @pytest.fixture
-def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
+def create_ems_instance() -> EnergieManagementSystem:
     """Fixture to create an EnergieManagementSystem instance with given test parameters."""
+    # Assure configuration holds the correct values
+    config_eos = get_config()
+    config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 24})
+    assert config_eos.prediction_hours is not None
+
     # Initialize the battery and the inverter
     akku = PVAkku(
         PVAkkuParameters(kapazitaet_wh=5000, start_soc_prozent=80, min_soc_prozent=10),
-        hours=prediction_hours,
+        hours=config_eos.prediction_hours,
     )
     akku.reset()
     wechselrichter = Wechselrichter(WechselrichterParameters(max_leistung_wh=10000), akku)
@@ -34,16 +38,16 @@ def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
             consumption_wh=2000,
             duration_h=2,
         ),
-        hours=prediction_hours,
+        hours=config_eos.prediction_hours,
     )
     home_appliance.set_starting_time(2)
 
     # Example initialization of electric car battery
     eauto = PVAkku(
         EAutoParameters(kapazitaet_wh=26400, start_soc_prozent=10, min_soc_prozent=10),
-        hours=prediction_hours,
+        hours=config_eos.prediction_hours,
     )
-    eauto.set_charge_per_hour(np.full(prediction_hours, 1))
+    eauto.set_charge_per_hour(np.full(config_eos.prediction_hours, 1))
 
     # Parameters based on previous example data
     pv_prognose_wh = [
@@ -203,8 +207,8 @@ def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
     ]
 
     # Initialize the energy management system with the respective parameters
-    ems = EnergieManagementSystem(
-        tmp_config.eos,
+    ems = get_ems()
+    ems.set_parameters(
         EnergieManagementSystemParameters(
             pv_prognose_wh=pv_prognose_wh,
             strompreis_euro_pro_wh=strompreis_euro_pro_wh,
diff --git a/tests/test_class_ems_2.py b/tests/test_class_ems_2.py
index c4e2fe8..fa1908c 100644
--- a/tests/test_class_ems_2.py
+++ b/tests/test_class_ems_2.py
@@ -1,28 +1,32 @@
 import numpy as np
 import pytest
 
-from akkudoktoreos.config import AppConfig
-from akkudoktoreos.devices.battery import EAutoParameters, PVAkku, PVAkkuParameters
-from akkudoktoreos.devices.generic import HomeAppliance, HomeApplianceParameters
-from akkudoktoreos.devices.inverter import Wechselrichter, WechselrichterParameters
-from akkudoktoreos.prediction.ems import (
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.core.ems import (
     EnergieManagementSystem,
     EnergieManagementSystemParameters,
+    get_ems,
 )
+from akkudoktoreos.devices.battery import EAutoParameters, PVAkku, PVAkkuParameters
+from akkudoktoreos.devices.generic import HomeAppliance, HomeApplianceParameters
+from akkudoktoreos.devices.inverter import Wechselrichter, WechselrichterParameters
 
-prediction_hours = 48
-optimization_hours = 24
 start_hour = 0
 
 
 # Example initialization of necessary components
 @pytest.fixture
-def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
+def create_ems_instance() -> EnergieManagementSystem:
     """Fixture to create an EnergieManagementSystem instance with given test parameters."""
+    # Assure configuration holds the correct values
+    config_eos = get_config()
+    config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 24})
+    assert config_eos.prediction_hours is not None
+
     # Initialize the battery and the inverter
     akku = PVAkku(
         PVAkkuParameters(kapazitaet_wh=5000, start_soc_prozent=80, min_soc_prozent=10),
-        hours=prediction_hours,
+        hours=config_eos.prediction_hours,
     )
     akku.reset()
     wechselrichter = Wechselrichter(WechselrichterParameters(max_leistung_wh=10000), akku)
@@ -33,27 +37,28 @@ def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
             consumption_wh=2000,
             duration_h=2,
         ),
-        hours=prediction_hours,
+        hours=config_eos.prediction_hours,
     )
     home_appliance.set_starting_time(2)
 
     # Example initialization of electric car battery
     eauto = PVAkku(
         EAutoParameters(kapazitaet_wh=26400, start_soc_prozent=100, min_soc_prozent=100),
-        hours=prediction_hours,
+        hours=config_eos.prediction_hours,
     )
 
     # Parameters based on previous example data
-    pv_prognose_wh = [0.0] * prediction_hours
+    pv_prognose_wh = [0.0] * config_eos.prediction_hours
     pv_prognose_wh[10] = 5000.0
     pv_prognose_wh[11] = 5000.0
 
-    strompreis_euro_pro_wh = [0.001] * prediction_hours
+    strompreis_euro_pro_wh = [0.001] * config_eos.prediction_hours
     strompreis_euro_pro_wh[0:10] = [0.00001] * 10
     strompreis_euro_pro_wh[11:15] = [0.00005] * 4
     strompreis_euro_pro_wh[20] = 0.00001
 
     einspeiseverguetung_euro_pro_wh = [0.00007] * len(strompreis_euro_pro_wh)
+    preis_euro_pro_wh_akku = 0.0001
 
     gesamtlast = [
         676.71,
@@ -107,13 +112,13 @@ def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
     ]
 
     # Initialize the energy management system with the respective parameters
-    ems = EnergieManagementSystem(
-        tmp_config.eos,
+    ems = get_ems()
+    ems.set_parameters(
         EnergieManagementSystemParameters(
             pv_prognose_wh=pv_prognose_wh,
             strompreis_euro_pro_wh=strompreis_euro_pro_wh,
             einspeiseverguetung_euro_pro_wh=einspeiseverguetung_euro_pro_wh,
-            preis_euro_pro_wh_akku=0,
+            preis_euro_pro_wh_akku=preis_euro_pro_wh_akku,
             gesamtlast=gesamtlast,
         ),
         wechselrichter=wechselrichter,
@@ -121,10 +126,10 @@ def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
         home_appliance=home_appliance,
     )
 
-    ac = np.full(prediction_hours, 0)
+    ac = np.full(config_eos.prediction_hours, 0.0)
     ac[20] = 1
     ems.set_akku_ac_charge_hours(ac)
-    dc = np.full(prediction_hours, 0)
+    dc = np.full(config_eos.prediction_hours, 0.0)
     dc[11] = 1
     ems.set_akku_dc_charge_hours(dc)
 

From 6805681bbbe3049b7203fc4c753286be4b622056 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Wed, 20 Nov 2024 14:07:38 +0100
Subject: [PATCH 13/19] Adapt genetic to config.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/optimization/genetic.py | 133 +++++++++++-----------
 1 file changed, 68 insertions(+), 65 deletions(-)

diff --git a/src/akkudoktoreos/optimization/genetic.py b/src/akkudoktoreos/optimization/genetic.py
index 5ab16b8..a01ec3f 100644
--- a/src/akkudoktoreos/optimization/genetic.py
+++ b/src/akkudoktoreos/optimization/genetic.py
@@ -6,7 +6,12 @@
 from pydantic import BaseModel, Field, field_validator, model_validator
 from typing_extensions import Self
 
-from akkudoktoreos.config import AppConfig
+from akkudoktoreos.core.coreabc import (
+    ConfigMixin,
+    DevicesMixin,
+    EnergyManagementSystemMixin,
+)
+from akkudoktoreos.core.ems import EnergieManagementSystemParameters, SimulationResult
 from akkudoktoreos.devices.battery import (
     EAutoParameters,
     EAutoResult,
@@ -15,11 +20,6 @@
 )
 from akkudoktoreos.devices.generic import HomeAppliance, HomeApplianceParameters
 from akkudoktoreos.devices.inverter import Wechselrichter, WechselrichterParameters
-from akkudoktoreos.prediction.ems import (
-    EnergieManagementSystem,
-    EnergieManagementSystemParameters,
-    SimulationResult,
-)
 from akkudoktoreos.utils.utils import NumpyEncoder
 from akkudoktoreos.visualize import visualisiere_ergebnisse
 
@@ -97,20 +97,16 @@ def convert_eauto(cls, field: Any) -> Any:
         return field
 
 
-class optimization_problem:
+class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixin):
     def __init__(
         self,
-        config: AppConfig,
         verbose: bool = False,
         fixed_seed: Optional[int] = None,
     ):
         """Initialize the optimization problem with the required parameters."""
-        self._config = config
-        self.prediction_hours = config.eos.prediction_hours
-        self.strafe = config.eos.penalty
         self.opti_param: dict[str, Any] = {}
-        self.fixed_eauto_hours = config.eos.prediction_hours - config.eos.optimization_hours
-        self.possible_charge_values = config.eos.available_charging_rates_in_percentage
+        self.fixed_eauto_hours = self.config.prediction_hours - self.config.optimization_hours
+        self.possible_charge_values = self.config.optimization_ev_available_charge_rates_percent
         self.verbose = verbose
         self.fix_seed = fixed_seed
         self.optimize_ev = True
@@ -121,7 +117,7 @@ def __init__(
             random.seed(fixed_seed)
 
     def decode_charge_discharge(
-        self, discharge_hours_bin: list[int]
+        self, discharge_hours_bin: list[float]
     ) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:
         """Decode the input array `discharge_hours_bin` into three separate arrays for AC charging, DC charging, and discharge.
 
@@ -182,7 +178,7 @@ def mutate(self, individual: list[int]) -> tuple[list[int]]:
         """
         # Step 1: Mutate the charge/discharge states (idle, discharge, AC charge, DC charge)
         # Extract the relevant part of the individual for prediction hours, which represents the charge/discharge behavior.
-        charge_discharge_part = individual[: self.prediction_hours]
+        charge_discharge_part = individual[: self.config.prediction_hours]
 
         # Apply the mutation to the charge/discharge part
         (charge_discharge_mutated,) = self.toolbox.mutate_charge_discharge(charge_discharge_part)
@@ -200,23 +196,27 @@ def mutate(self, individual: list[int]) -> tuple[list[int]]:
         # applying additional constraints or penalties, or keeping track of charging limits.
 
         # Reassign the mutated values back to the individual
-        individual[: self.prediction_hours] = charge_discharge_mutated
+        individual[: self.config.prediction_hours] = charge_discharge_mutated
 
         # Step 2: Mutate EV charging schedule if enabled
         if self.optimize_ev:
             # Extract the relevant part for EV charging schedule
-            ev_charge_part = individual[self.prediction_hours : self.prediction_hours * 2]
+            ev_charge_part = individual[
+                self.config.prediction_hours : self.config.prediction_hours * 2
+            ]
 
             # Apply mutation on the EV charging schedule
             (ev_charge_part_mutated,) = self.toolbox.mutate_ev_charge_index(ev_charge_part)
 
             # Ensure the EV does not charge during fixed hours (set those hours to 0)
-            ev_charge_part_mutated[self.prediction_hours - self.fixed_eauto_hours :] = [
+            ev_charge_part_mutated[self.config.prediction_hours - self.fixed_eauto_hours :] = [
                 0
             ] * self.fixed_eauto_hours
 
             # Reassign the mutated EV charging part back to the individual
-            individual[self.prediction_hours : self.prediction_hours * 2] = ev_charge_part_mutated
+            individual[self.config.prediction_hours : self.config.prediction_hours * 2] = (
+                ev_charge_part_mutated
+            )
 
         # Step 3: Mutate appliance start times if household appliances are part of the optimization
         if self.opti_param["home_appliance"] > 0:
@@ -235,13 +235,13 @@ def mutate(self, individual: list[int]) -> tuple[list[int]]:
     def create_individual(self) -> list[int]:
         # Start with discharge states for the individual
         individual_components = [
-            self.toolbox.attr_discharge_state() for _ in range(self.prediction_hours)
+            self.toolbox.attr_discharge_state() for _ in range(self.config.prediction_hours)
         ]
 
         # Add EV charge index values if optimize_ev is True
         if self.optimize_ev:
             individual_components += [
-                self.toolbox.attr_ev_charge_index() for _ in range(self.prediction_hours)
+                self.toolbox.attr_ev_charge_index() for _ in range(self.config.prediction_hours)
             ]
 
         # Add the start time of the household appliance if it's being optimized
@@ -251,8 +251,8 @@ def create_individual(self) -> list[int]:
         return creator.Individual(individual_components)
 
     def split_individual(
-        self, individual: list[int]
-    ) -> tuple[list[int], Optional[list[int]], Optional[int]]:
+        self, individual: list[float]
+    ) -> tuple[list[float], Optional[list[float]], Optional[int]]:
         """Split the individual solution into its components.
 
         Components:
@@ -260,9 +260,9 @@ def split_individual(
         2. Electric vehicle charge hours (float),
         3. Dishwasher start time (integer if applicable).
         """
-        discharge_hours_bin = individual[: self.prediction_hours]
+        discharge_hours_bin = individual[: self.config.prediction_hours]
         eautocharge_hours_index = (
-            individual[self.prediction_hours : self.prediction_hours * 2]
+            individual[self.config.prediction_hours : self.config.prediction_hours * 2]
             if self.optimize_ev
             else None
         )
@@ -299,7 +299,7 @@ def setup_deap_environment(self, opti_param: dict[str, Any], start_hour: int) ->
                 "attr_ev_charge_index",
                 random.randint,
                 0,
-                len(self._config.eos.available_charging_rates_in_percentage) - 1,
+                len(self.config.optimization_ev_available_charge_rates_percent) - 1,
             )
         self.toolbox.register("attr_int", random.randint, start_hour, 23)
 
@@ -325,7 +325,7 @@ def setup_deap_environment(self, opti_param: dict[str, Any], start_hour: int) ->
             "mutate_ev_charge_index",
             tools.mutUniformInt,
             low=0,
-            up=len(self._config.eos.available_charging_rates_in_percentage) - 1,
+            up=len(self.config.optimization_ev_available_charge_rates_percent) - 1,
             indpb=0.2,
         )
         # - Start hour mutation for household devices
@@ -336,49 +336,48 @@ def setup_deap_environment(self, opti_param: dict[str, Any], start_hour: int) ->
 
         self.toolbox.register("select", tools.selTournament, tournsize=3)
 
-    def evaluate_inner(
-        self, individual: list[int], ems: EnergieManagementSystem, start_hour: int
-    ) -> dict[str, Any]:
+    def evaluate_inner(self, individual: list[float]) -> dict[str, Any]:
         """Simulates the energy management system (EMS) using the provided individual solution.
 
         This is an internal function.
         """
-        ems.reset()
+        self.ems.reset()
         discharge_hours_bin, eautocharge_hours_index, washingstart_int = self.split_individual(
             individual
         )
-        if washingstart_int is not None:
-            ems.set_home_appliance_start(washingstart_int, global_start_hour=start_hour)
+        if self.opti_param.get("home_appliance", 0) > 0:
+            self.ems.set_home_appliance_start(
+                washingstart_int, global_start_hour=self.ems.start_datetime.hour
+            )
 
         ac, dc, discharge = self.decode_charge_discharge(discharge_hours_bin)
 
-        ems.set_akku_discharge_hours(discharge)
+        self.ems.set_akku_discharge_hours(discharge)
         # Set DC charge hours only if DC optimization is enabled
         if self.optimize_dc_charge:
-            ems.set_akku_dc_charge_hours(dc)
-        ems.set_akku_ac_charge_hours(ac)
+            self.ems.set_akku_dc_charge_hours(dc)
+        self.ems.set_akku_ac_charge_hours(ac)
 
         if eautocharge_hours_index is not None:
             eautocharge_hours_float = [
-                self._config.eos.available_charging_rates_in_percentage[i]
+                self.config.optimization_ev_available_charge_rates_percent[i]
                 for i in eautocharge_hours_index
             ]
-            ems.set_ev_charge_hours(np.array(eautocharge_hours_float))
+            self.ems.set_ev_charge_hours(eautocharge_hours_float)
         else:
-            ems.set_ev_charge_hours(np.full(self.prediction_hours, 0))
-        return ems.simuliere(start_hour)
+            self.ems.set_ev_charge_hours(np.full(self.config.prediction_hours, 0.0))
+        return self.ems.simuliere(self.ems.start_datetime.hour)
 
     def evaluate(
         self,
-        individual: list[int],
-        ems: EnergieManagementSystem,
+        individual: list[float],
         parameters: OptimizationParameters,
         start_hour: int,
         worst_case: bool,
     ) -> Tuple[float]:
         """Evaluate the fitness of an individual solution based on the simulation results."""
         try:
-            o = self.evaluate_inner(individual, ems, start_hour)
+            o = self.evaluate_inner(individual)
         except Exception as e:
             return (100000.0,)  # Return a high penalty in case of an exception
 
@@ -388,26 +387,28 @@ def evaluate(
 
         # Small Penalty for not discharging
         gesamtbilanz += sum(
-            0.01 for i in range(self.prediction_hours) if discharge_hours_bin[i] == 0.0
+            0.01 for i in range(self.config.prediction_hours) if discharge_hours_bin[i] == 0.0
         )
 
         # Penalty for not meeting the minimum SOC (State of Charge) requirement
         # if parameters.eauto_min_soc_prozent - ems.eauto.ladezustand_in_prozent() <= 0.0 and  self.optimize_ev:
         #     gesamtbilanz += sum(
-        #         self.strafe for ladeleistung in eautocharge_hours_index if ladeleistung != 0.0
+        #         self.config.optimization_penalty for ladeleistung in eautocharge_hours_float if ladeleistung != 0.0
         #     )
 
         individual.extra_data = (  # type: ignore[attr-defined]
             o["Gesamtbilanz_Euro"],
             o["Gesamt_Verluste"],
-            parameters.eauto.min_soc_prozent - ems.eauto.ladezustand_in_prozent()
-            if parameters.eauto and ems.eauto
+            parameters.eauto.min_soc_prozent - self.ems.eauto.ladezustand_in_prozent()
+            if parameters.eauto and self.ems.eauto
             else 0,
         )
 
         # Adjust total balance with battery value and penalties for unmet SOC
 
-        restwert_akku = ems.akku.aktueller_energieinhalt() * parameters.ems.preis_euro_pro_wh_akku
+        restwert_akku = (
+            self.ems.akku.aktueller_energieinhalt() * parameters.ems.preis_euro_pro_wh_akku
+        )
         # print(ems.akku.aktueller_energieinhalt()," * ", parameters.ems.preis_euro_pro_wh_akku , " ", restwert_akku, " ", gesamtbilanz)
         gesamtbilanz += -restwert_akku
         # print(gesamtbilanz)
@@ -415,11 +416,11 @@ def evaluate(
             gesamtbilanz += max(
                 0,
                 (
-                    parameters.eauto.min_soc_prozent - ems.eauto.ladezustand_in_prozent()
-                    if parameters.eauto and ems.eauto
+                    parameters.eauto.min_soc_prozent - self.ems.eauto.ladezustand_in_prozent()
+                    if parameters.eauto and self.ems.eauto
                     else 0
                 )
-                * self.strafe,
+                * self.config.optimization_penalty,
             )
 
         return (gesamtbilanz,)
@@ -468,29 +469,32 @@ def optimize(
     def optimierung_ems(
         self,
         parameters: OptimizationParameters,
-        start_hour: int,
+        start_hour: Optional[int] = None,
         worst_case: bool = False,
         ngen: int = 600,
     ) -> OptimizeResponse:
         """Perform EMS (Energy Management System) optimization and visualize results."""
+        if start_hour is None:
+            start_hour = self.ems.start_datetime.hour
+
         einspeiseverguetung_euro_pro_wh = np.full(
-            self.prediction_hours, parameters.ems.einspeiseverguetung_euro_pro_wh
+            self.config.prediction_hours, parameters.ems.einspeiseverguetung_euro_pro_wh
         )
 
         # Initialize PV and EV batteries
         akku = PVAkku(
             parameters.pv_akku,
-            hours=self.prediction_hours,
+            hours=self.config.prediction_hours,
         )
-        akku.set_charge_per_hour(np.full(self.prediction_hours, 1))
+        akku.set_charge_per_hour(np.full(self.config.prediction_hours, 1))
 
         eauto: Optional[PVAkku] = None
         if parameters.eauto:
             eauto = PVAkku(
                 parameters.eauto,
-                hours=self.prediction_hours,
+                hours=self.config.prediction_hours,
             )
-            eauto.set_charge_per_hour(np.full(self.prediction_hours, 1))
+            eauto.set_charge_per_hour(np.full(self.config.prediction_hours, 1))
             self.optimize_ev = (
                 parameters.eauto.min_soc_prozent - parameters.eauto.start_soc_prozent >= 0
             )
@@ -501,7 +505,7 @@ def optimierung_ems(
         dishwasher = (
             HomeAppliance(
                 parameters=parameters.dishwasher,
-                hours=self.prediction_hours,
+                hours=self.config.prediction_hours,
             )
             if parameters.dishwasher is not None
             else None
@@ -509,30 +513,30 @@ def optimierung_ems(
 
         # Initialize the inverter and energy management system
         wr = Wechselrichter(parameters.wechselrichter, akku)
-        ems = EnergieManagementSystem(
-            self._config.eos,
+        self.ems.set_parameters(
             parameters.ems,
             wechselrichter=wr,
             eauto=eauto,
             home_appliance=dishwasher,
         )
+        self.ems.set_start_hour(start_hour)
 
         # Setup the DEAP environment and optimization process
         self.setup_deap_environment({"home_appliance": 1 if dishwasher else 0}, start_hour)
         self.toolbox.register(
             "evaluate",
-            lambda ind: self.evaluate(ind, ems, parameters, start_hour, worst_case),
+            lambda ind: self.evaluate(ind, parameters, start_hour, worst_case),
         )
         start_solution, extra_data = self.optimize(parameters.start_solution, ngen=ngen)
 
         # Perform final evaluation on the best solution
-        o = self.evaluate_inner(start_solution, ems, start_hour)
+        o = self.evaluate_inner(start_solution)
         discharge_hours_bin, eautocharge_hours_index, washingstart_int = self.split_individual(
             start_solution
         )
         eautocharge_hours_float = (
             [
-                self._config.eos.available_charging_rates_in_percentage[i]
+                self.config.optimization_ev_available_charge_rates_percent[i]
                 for i in eautocharge_hours_index
             ]
             if eautocharge_hours_index is not None
@@ -552,7 +556,6 @@ def optimierung_ems(
             parameters.temperature_forecast,
             start_hour,
             einspeiseverguetung_euro_pro_wh,
-            config=self._config,
             extra_data=extra_data,
         )
 
@@ -563,7 +566,7 @@ def optimierung_ems(
                 "discharge_allowed": discharge,
                 "eautocharge_hours_float": eautocharge_hours_float,
                 "result": SimulationResult(**o),
-                "eauto_obj": ems.eauto,
+                "eauto_obj": self.ems.eauto,
                 "start_solution": start_solution,
                 "washingstart": washingstart_int,
             }

From b1cd483358c30fe9d0956d660822c9debb14943c Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Wed, 20 Nov 2024 14:31:08 +0100
Subject: [PATCH 14/19] Adapt visualize to config.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/visualize.py | 20 ++++++++++----------
 tests/test_visualize.py        | 12 ++++++++----
 2 files changed, 18 insertions(+), 14 deletions(-)

diff --git a/src/akkudoktoreos/visualize.py b/src/akkudoktoreos/visualize.py
index 4046915..d80fcdb 100644
--- a/src/akkudoktoreos/visualize.py
+++ b/src/akkudoktoreos/visualize.py
@@ -5,8 +5,9 @@
 import matplotlib.pyplot as plt
 import numpy as np
 from matplotlib.backends.backend_pdf import PdfPages
+from numpy.typing import NDArray
 
-from akkudoktoreos.config import AppConfig, SetupIncomplete
+from akkudoktoreos.config.config import get_config
 
 matplotlib.use("Agg")
 
@@ -22,23 +23,22 @@ def visualisiere_ergebnisse(
     temperature: Optional[list[float]],
     start_hour: int,
     einspeiseverguetung_euro_pro_wh: np.ndarray,
-    config: AppConfig,
     filename: str = "visualization_results.pdf",
     extra_data: Optional[dict[str, Any]] = None,
 ) -> None:
     #####################
     # 24-hour visualization
     #####################
-    output_dir = config.working_dir / config.directories.output
-    if not output_dir.is_dir():
-        raise SetupIncomplete(f"Output path does not exist: {output_dir}.")
+    config = get_config()
+    output_dir = config.data_output_path
+    output_dir.mkdir(parents=True, exist_ok=True)
 
     output_file = output_dir.joinpath(filename)
     with PdfPages(output_file) as pdf:
         # Load and PV generation
         plt.figure(figsize=(14, 14))
         plt.subplot(3, 3, 1)
-        hours = np.arange(0, config.eos.prediction_hours)
+        hours: NDArray[np.int_] = np.arange(0, config.prediction_hours, dtype=np.int_)
 
         gesamtlast_array = np.array(gesamtlast)
         # Plot individual loads
@@ -100,7 +100,7 @@ def visualisiere_ergebnisse(
         #####################
 
         plt.figure(figsize=(14, 10))
-        hours = np.arange(start_hour, config.eos.prediction_hours)
+        hours = np.arange(start_hour, config.prediction_hours)
 
         # Energy flow, grid feed-in, and grid consumption
         plt.subplot(3, 2, 1)
@@ -184,7 +184,7 @@ def visualisiere_ergebnisse(
 
         # Plot for AC, DC charging, and Discharge status using bar charts
         ax1 = plt.subplot(3, 2, 5)
-        hours = np.arange(0, config.eos.prediction_hours)
+        hours = np.arange(0, config.prediction_hours)
         # Plot AC charging as bars (relative values between 0 and 1)
         plt.bar(hours, ac, width=0.4, label="AC Charging (relative)", color="blue", alpha=0.6)
 
@@ -206,13 +206,13 @@ def visualisiere_ergebnisse(
 
         # Configure the plot
         ax1.legend(loc="upper left")
-        ax1.set_xlim(0, config.eos.prediction_hours)
+        ax1.set_xlim(0, config.prediction_hours)
         ax1.set_xlabel("Hour")
         ax1.set_ylabel("Relative Power (0-1) / Discharge (0 or 1)")
         ax1.set_title("AC/DC Charging and Discharge Overview")
         ax1.grid(True)
 
-        hours = np.arange(start_hour, config.eos.prediction_hours)
+        hours = np.arange(start_hour, config.prediction_hours)
 
         pdf.savefig()  # Save the current figure state to the PDF
         plt.close()  # Close the current figure to free up memory
diff --git a/tests/test_visualize.py b/tests/test_visualize.py
index 3cbd6d3..faf8340 100644
--- a/tests/test_visualize.py
+++ b/tests/test_visualize.py
@@ -4,7 +4,7 @@
 import pytest
 from matplotlib.testing.compare import compare_images
 
-from akkudoktoreos.config import AppConfig
+from akkudoktoreos.config.config import get_config
 from akkudoktoreos.visualize import visualisiere_ergebnisse
 
 DIR_TESTDATA = Path(__file__).parent / "testdata"
@@ -15,11 +15,15 @@
     "fn_in, fn_out, fn_out_base",
     [("visualize_input_1.json", "visualize_output_1.pdf", "visualize_base_output_1.pdf")],
 )
-def test_visualisiere_ergebnisse(fn_in, fn_out, fn_out_base, tmp_config: AppConfig):
+def test_visualisiere_ergebnisse(fn_in, fn_out, fn_out_base):
     with open(DIR_TESTDATA / fn_in, "r") as f:
         input_data = json.load(f)
-    visualisiere_ergebnisse(config=tmp_config, **input_data)
-    output_file: Path = tmp_config.working_dir / tmp_config.directories.output / fn_out
+    visualisiere_ergebnisse(**input_data)
+
+    config = get_config()
+    output_dir = config.data_output_path
+    output_dir.mkdir(parents=True, exist_ok=True)
+    output_file = output_dir.joinpath(fn_out)
 
     assert output_file.is_file()
     assert (

From 7fe7907da22bac755966b7f330fea33951d5d5b0 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Wed, 20 Nov 2024 14:32:29 +0100
Subject: [PATCH 15/19] Adapt common test fixtures to config.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 tests/conftest.py | 166 +++++++++++++++++++++++++++++++++++-----------
 1 file changed, 129 insertions(+), 37 deletions(-)

diff --git a/tests/conftest.py b/tests/conftest.py
index 1d25335..1a2562f 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,31 +1,41 @@
 import logging
-import os
+import shutil
 import subprocess
 import sys
-import time
+import tempfile
 from pathlib import Path
+from typing import Optional
 
+import pendulum
+import platformdirs
 import pytest
 from xprocess import ProcessStarter
 
-from akkudoktoreos.config import EOS_DIR, AppConfig, load_config
+from akkudoktoreos.config.config import get_config
+from akkudoktoreos.utils.logutil import get_logger
 
+logger = get_logger(__name__)
 
-@pytest.fixture(name="tmp_config")
-def load_config_tmp(tmp_path: Path) -> AppConfig:
-    """Creates an AppConfig from default.config.json with a tmp output directory."""
-    config = load_config(tmp_path)
-    config.directories.output = str(tmp_path)
-    return config
 
+@pytest.fixture()
+def disable_debug_logging(scope="session", autouse=True):
+    """Automatically disable debug logging for all tests."""
+    original_levels = {}
+    root_logger = logging.getLogger()
+
+    original_levels[root_logger] = root_logger.level
+    root_logger.setLevel(logging.INFO)
+
+    for logger_name, logger in logging.root.manager.loggerDict.items():
+        if isinstance(logger, logging.Logger):
+            original_levels[logger] = logger.level
+            if logger.level <= logging.DEBUG:
+                logger.setLevel(logging.INFO)
 
-@pytest.fixture(autouse=True)
-def disable_debug_logging():
-    # Temporarily set logging level higher than DEBUG
-    logging.disable(logging.DEBUG)
     yield
-    # Re-enable logging back to its original state after the test
-    logging.disable(logging.NOTSET)
+
+    for logger, level in original_levels.items():
+        logger.setLevel(level)
 
 
 def pytest_addoption(parser):
@@ -39,6 +49,84 @@ def is_full_run(request):
     yield bool(request.config.getoption("--full-run"))
 
 
+@pytest.fixture
+def reset_config(disable_debug_logging):
+    """Fixture to reset EOS config to default values."""
+    config_eos = get_config()
+    config_eos.reset_settings()
+    config_eos.reset_to_defaults()
+    return config_eos
+
+
+@pytest.fixture
+def config_default_dirs():
+    """Fixture that provides a list of directories to be used as config dir."""
+    config_eos = get_config()
+    # Default config directory from platform user config directory
+    config_default_dir_user = Path(platformdirs.user_config_dir(config_eos.APP_NAME))
+    # Default config directory from current working directory
+    config_default_dir_cwd = Path.cwd()
+    # Default config directory from default config file
+    config_default_dir_default = Path(__file__).parent.parent.joinpath("src/akkudoktoreos/data")
+    return config_default_dir_user, config_default_dir_cwd, config_default_dir_default
+
+
+@pytest.fixture
+def stash_config_file(config_default_dirs):
+    """Fixture to temporarily stash away an existing config file during a test.
+
+    If the specified config file exists, it moves the file to a temporary directory.
+    The file is restored to its original location after the test.
+
+    Keep right most in fixture parameter list to assure application at last.
+
+    Returns:
+        Path: Path to the stashed config file.
+    """
+    config_eos = get_config()
+    config_default_dir_user, config_default_dir_cwd, _ = config_default_dirs
+
+    config_file_path_user = config_default_dir_user.joinpath(config_eos.CONFIG_FILE_NAME)
+    config_file_path_cwd = config_default_dir_cwd.joinpath(config_eos.CONFIG_FILE_NAME)
+
+    original_config_file_user = None
+    original_config_file_cwd = None
+    if config_file_path_user.exists():
+        original_config_file_user = config_file_path_user
+    if config_file_path_cwd.exists():
+        original_config_file_cwd = config_file_path_cwd
+
+    temp_dir = tempfile.TemporaryDirectory()
+    temp_file_user = None
+    temp_file_cwd = None
+
+    # If the file exists, move it to the temporary directory
+    if original_config_file_user:
+        temp_file_user = Path(temp_dir.name) / f"user.{original_config_file_user.name}"
+        shutil.move(original_config_file_user, temp_file_user)
+        assert not original_config_file_user.exists()
+        logger.debug(f"Stashed: '{original_config_file_user}'")
+    if original_config_file_cwd:
+        temp_file_cwd = Path(temp_dir.name) / f"cwd.{original_config_file_cwd.name}"
+        shutil.move(original_config_file_cwd, temp_file_cwd)
+        assert not original_config_file_cwd.exists()
+        logger.debug(f"Stashed: '{original_config_file_cwd}'")
+
+    # Yield the temporary file path to the test
+    yield temp_file_user, temp_file_cwd
+
+    # Cleanup after the test
+    if temp_file_user:
+        # Restore the file to its original location
+        shutil.move(temp_file_user, original_config_file_user)
+        assert original_config_file_user.exists()
+    if temp_file_cwd:
+        # Restore the file to its original location
+        shutil.move(temp_file_cwd, original_config_file_cwd)
+        assert original_config_file_cwd.exists()
+    temp_dir.cleanup()
+
+
 @pytest.fixture
 def server(xprocess, tmp_path: Path):
     """Fixture to start the server.
@@ -50,13 +138,13 @@ class Starter(ProcessStarter):
         # assure server to be installed
         try:
             subprocess.run(
-                [sys.executable, "-c", "import akkudoktoreos.server"],
+                [sys.executable, "-c", "import akkudoktoreos.server.fastapi_server"],
                 check=True,
                 stdout=subprocess.PIPE,
                 stderr=subprocess.PIPE,
             )
         except subprocess.CalledProcessError:
-            project_dir = Path(__file__).parent.parent
+            project_dir = Path(__file__).parent.parent.parent
             subprocess.run(
                 [sys.executable, "-m", "pip", "install", "-e", project_dir],
                 check=True,
@@ -66,11 +154,15 @@ class Starter(ProcessStarter):
 
         # command to start server process
         args = [sys.executable, "-m", "akkudoktoreos.server.fastapi_server"]
-        env = {EOS_DIR: f"{tmp_path}", **os.environ.copy()}
+        config_eos = get_config()
+        settings = {
+            "data_folder_path": tmp_path,
+        }
+        config_eos.merge_settings_from_dict(settings)
 
         # startup pattern
         pattern = "Application startup complete."
-        # search the first 30 lines for the startup pattern, if not found
+        # search this number of lines for the startup pattern, if not found
         # a RuntimeError will be raised informing the user
         max_read_lines = 30
 
@@ -81,7 +173,7 @@ class Starter(ProcessStarter):
         terminate_on_interrupt = True
 
     # ensure process is running and return its logfile
-    logfile = xprocess.ensure("eos", Starter)
+    pid, logfile = xprocess.ensure("eos", Starter)
 
     # create url/port info to the server
     url = "http://127.0.0.1:8503"
@@ -92,26 +184,26 @@ class Starter(ProcessStarter):
 
 
 @pytest.fixture
-def other_timezone():
-    """Fixture to temporarily change the timezone.
+def set_other_timezone():
+    """Temporarily sets a timezone for Pendulum during a test.
 
-    Restores the original timezone after the test.
+    Resets to the original timezone after the test completes.
     """
-    original_tz = os.environ.get("TZ", None)
+    original_timezone = pendulum.local_timezone()
 
-    other_tz = "Atlantic/Canary"
-    if original_tz == other_tz:
-        other_tz = "Asia/Singapore"
+    default_other_timezone = "Atlantic/Canary"
+    if default_other_timezone == original_timezone:
+        default_other_timezone = "Asia/Singapore"
 
-    # Change the timezone to another
-    os.environ["TZ"] = other_tz
-    time.tzset()  # For Unix/Linux to apply the timezone change
+    def _set_timezone(other_timezone: Optional[str] = None) -> str:
+        if other_timezone is None:
+            other_timezone = default_other_timezone
+        pendulum.set_local_timezone(other_timezone)
+        assert pendulum.local_timezone() == other_timezone
+        return other_timezone
 
-    yield os.environ["TZ"]  # Yield control back to the test case
+    yield _set_timezone
 
-    # Restore the original timezone after the test
-    if original_tz:
-        os.environ["TZ"] = original_tz
-    else:
-        del os.environ["TZ"]
-    time.tzset()  # Re-apply the original timezone
+    # Restore the original timezone
+    pendulum.set_local_timezone(original_timezone)
+    assert pendulum.local_timezone() == original_timezone

From 8d62354b82a410c09df08689348dc1b5f4661c2c Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Thu, 21 Nov 2024 18:42:12 +0100
Subject: [PATCH 16/19] Add load forecast to prediction submodule.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/prediction/load.py          |  61 +++++++++++
 src/akkudoktoreos/prediction/loadabc.py       | 102 ++++++++++++++++++
 .../prediction/loadakkudoktor.py              |  67 ++++++++++++
 src/akkudoktoreos/prediction/loadimport.py    | 100 +++++++++++++++++
 tests/test_loadakkudoktor.py                  |  94 ++++++++++++++++
 5 files changed, 424 insertions(+)
 create mode 100644 src/akkudoktoreos/prediction/load.py
 create mode 100644 src/akkudoktoreos/prediction/loadabc.py
 create mode 100644 src/akkudoktoreos/prediction/loadakkudoktor.py
 create mode 100644 src/akkudoktoreos/prediction/loadimport.py
 create mode 100644 tests/test_loadakkudoktor.py

diff --git a/src/akkudoktoreos/prediction/load.py b/src/akkudoktoreos/prediction/load.py
new file mode 100644
index 0000000..ffa4c55
--- /dev/null
+++ b/src/akkudoktoreos/prediction/load.py
@@ -0,0 +1,61 @@
+"""Load forecast module for load predictions."""
+
+from typing import Optional, Set
+
+from pydantic import Field, computed_field
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class LoadCommonSettings(SettingsBaseModel):
+    # Load 0
+    load0_provider: Optional[str] = Field(
+        default=None, description="Load provider id of provider to be used."
+    )
+    load0_name: Optional[str] = Field(default=None, description="Name of the load source.")
+
+    # Load 1
+    load1_provider: Optional[str] = Field(
+        default=None, description="Load provider id of provider to be used."
+    )
+    load1_name: Optional[str] = Field(default=None, description="Name of the load source.")
+
+    # Load 2
+    load2_provider: Optional[str] = Field(
+        default=None, description="Load provider id of provider to be used."
+    )
+    load2_name: Optional[str] = Field(default=None, description="Name of the load source.")
+
+    # Load 3
+    load3_provider: Optional[str] = Field(
+        default=None, description="Load provider id of provider to be used."
+    )
+    load3_name: Optional[str] = Field(default=None, description="Name of the load source.")
+
+    # Load 4
+    load4_provider: Optional[str] = Field(
+        default=None, description="Load provider id of provider to be used."
+    )
+    load4_name: Optional[str] = Field(default=None, description="Name of the load source.")
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def load_count(self) -> int:
+        """Maximum number of loads."""
+        return 5
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def load_providers(self) -> Set[str]:
+        """Load providers."""
+        providers = []
+        for i in range(self.load_count):
+            load_provider_attr = f"load{i}_provider"
+            value = getattr(self, load_provider_attr)
+            if value:
+                providers.append(value)
+        return set(providers)
diff --git a/src/akkudoktoreos/prediction/loadabc.py b/src/akkudoktoreos/prediction/loadabc.py
new file mode 100644
index 0000000..480b335
--- /dev/null
+++ b/src/akkudoktoreos/prediction/loadabc.py
@@ -0,0 +1,102 @@
+"""Abstract and base classes for load predictions.
+
+Notes:
+    - Ensure appropriate API keys or configurations are set up if required by external data sources.
+"""
+
+from abc import abstractmethod
+from typing import List, Optional
+
+from pydantic import Field, computed_field
+
+from akkudoktoreos.prediction.predictionabc import PredictionProvider, PredictionRecord
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class LoadDataRecord(PredictionRecord):
+    """Represents a load data record containing various load attributes at a specific datetime."""
+
+    load0_mean: Optional[float] = Field(default=None, description="Load 0 mean value (W)")
+    load0_std: Optional[float] = Field(default=None, description="Load 0 standard deviation (W)")
+    load1_mean: Optional[float] = Field(default=None, description="Load 1 mean value (W)")
+    load1_std: Optional[float] = Field(default=None, description="Load 1 standard deviation (W)")
+    load2_mean: Optional[float] = Field(default=None, description="Load 2 mean value (W)")
+    load2_std: Optional[float] = Field(default=None, description="Load 2 standard deviation (W)")
+    load3_mean: Optional[float] = Field(default=None, description="Load 3 mean value (W)")
+    load3_std: Optional[float] = Field(default=None, description="Load 3 standard deviation (W)")
+    load4_mean: Optional[float] = Field(default=None, description="Load 4 mean value (W)")
+    load4_std: Optional[float] = Field(default=None, description="Load 4 standard deviation (W)")
+
+    # Computed fields
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def load_total_mean(self) -> float:
+        """Total load mean value (W)."""
+        total_mean = 0.0
+        for i in range(5):
+            load_mean_attr = f"load{i}_mean"
+            value = getattr(self, load_mean_attr)
+            if value:
+                total_mean += value
+        return total_mean
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def load_total_std(self) -> float:
+        """Total load standard deviation (W)."""
+        total_std = 0.0
+        for i in range(5):
+            load_std_attr = f"load{i}_std"
+            value = getattr(self, load_std_attr)
+            if value:
+                total_std += value
+        return total_std
+
+
+class LoadProvider(PredictionProvider):
+    """Abstract base class for load providers.
+
+    LoadProvider is a thread-safe singleton, ensuring only one instance of this class is created.
+
+    Configuration variables:
+        load_provider (str): Prediction provider for load.
+
+    Attributes:
+        prediction_hours (int, optional): The number of hours into the future for which predictions are generated.
+        prediction_historic_hours (int, optional): The number of past hours for which historical data is retained.
+        latitude (float, optional): The latitude in degrees, must be within -90 to 90.
+        longitude (float, optional): The longitude in degrees, must be within -180 to 180.
+        start_datetime (datetime, optional): The starting datetime for predictions, defaults to the current datetime if unspecified.
+        end_datetime (datetime, computed): The datetime representing the end of the prediction range,
+            calculated based on `start_datetime` and `prediction_hours`.
+        keep_datetime (datetime, computed): The earliest datetime for retaining historical data, calculated
+            based on `start_datetime` and `prediction_historic_hours`.
+    """
+
+    # overload
+    records: List[LoadDataRecord] = Field(
+        default_factory=list, description="List of LoadDataRecord records"
+    )
+
+    @classmethod
+    @abstractmethod
+    def provider_id(cls) -> str:
+        return "LoadProvider"
+
+    def enabled(self) -> bool:
+        logger.debug(
+            f"LoadProvider ID {self.provider_id()} vs. config {self.config.load_providers}"
+        )
+        return True if self.provider_id() in self.config.load_providers else False
+
+    def loads(self) -> List[str]:
+        """Returns a list of key prefixes of the loads managed by this provider."""
+        loads_prefix = []
+        for i in range(self.config.load_count):
+            load_provider_attr = f"load{i}_provider"
+            value = getattr(self.config, load_provider_attr)
+            if value == self.provider_id():
+                loads_prefix.append(f"load{i}")
+        return loads_prefix
diff --git a/src/akkudoktoreos/prediction/loadakkudoktor.py b/src/akkudoktoreos/prediction/loadakkudoktor.py
new file mode 100644
index 0000000..dd5b283
--- /dev/null
+++ b/src/akkudoktoreos/prediction/loadakkudoktor.py
@@ -0,0 +1,67 @@
+"""Retrieves load forecast data from Akkudoktor load profiles."""
+
+from pathlib import Path
+from typing import Optional
+
+import numpy as np
+from pydantic import Field
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.prediction.loadabc import LoadProvider
+from akkudoktoreos.utils.datetimeutil import to_duration
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class LoadAkkudoktorCommonSettings(SettingsBaseModel):
+    """Common settings for load data import from file."""
+
+    loadakkudoktor_year_energy: Optional[float] = Field(
+        default=None, description="Yearly energy consumption (kWh)."
+    )
+
+
+class LoadAkkudoktor(LoadProvider):
+    """Fetch Load forecast data from Akkudoktor load profiles."""
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the LoadAkkudoktor provider."""
+        return "LoadAkkudoktor"
+
+    def load_data(self) -> np.ndarray:
+        """Loads data from the Akkudoktor load file."""
+        load_file = Path(__file__).parent.parent.joinpath("data/load_profiles.npz")
+        data_year_energy = None
+        try:
+            file_data = np.load(load_file)
+            profile_data = np.array(
+                list(zip(file_data["yearly_profiles"], file_data["yearly_profiles_std"]))
+            )
+            data_year_energy = profile_data * self.config.loadakkudoktor_year_energy
+            # pprint(self.data_year_energy)
+        except FileNotFoundError:
+            error_msg = f"Error: File {load_file} not found."
+            logger.error(error_msg)
+            raise FileNotFoundError(error_msg)
+        except Exception as e:
+            error_msg = f"An error occurred while loading data: {e}"
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+        return data_year_energy
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        """Adds the load means and standard deviations."""
+        data_year_energy = self.load_data()
+        for load in self.loads():
+            attr_load_mean = f"{load}_mean"
+            attr_load_std = f"{load}_std"
+            date = self.start_datetime
+            for i in range(self.config.prediction_hours):
+                # Extract mean and standard deviation for the given day and hour
+                # Day indexing starts at 0, -1 because of that
+                hourly_stats = data_year_energy[date.day_of_year - 1, :, date.hour]
+                self.update_value(date, attr_load_mean, hourly_stats[0])
+                self.update_value(date, attr_load_std, hourly_stats[1])
+                date += to_duration("1 hour")
diff --git a/src/akkudoktoreos/prediction/loadimport.py b/src/akkudoktoreos/prediction/loadimport.py
new file mode 100644
index 0000000..fd1769a
--- /dev/null
+++ b/src/akkudoktoreos/prediction/loadimport.py
@@ -0,0 +1,100 @@
+"""Retrieves load forecast data from an import file.
+
+This module provides classes and mappings to manage load data obtained from
+an import file, including support for various load attributes such as temperature,
+humidity, cloud cover, and solar irradiance. The data is mapped to the `LoadDataRecord`
+format, enabling consistent access to forecasted and historical load attributes.
+"""
+
+from pathlib import Path
+from typing import Optional, Union
+
+from pydantic import Field, field_validator
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.prediction.loadabc import LoadProvider
+from akkudoktoreos.prediction.predictionabc import PredictionImportProvider
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class LoadImportCommonSettings(SettingsBaseModel):
+    """Common settings for load data import from file."""
+
+    load0_import_file_path: Optional[Union[str, Path]] = Field(
+        default=None, description="Path to the file to import load data from."
+    )
+    load0_import_json: Optional[str] = Field(
+        default=None, description="JSON string, dictionary of load forecast value lists."
+    )
+    load1_import_file_path: Optional[Union[str, Path]] = Field(
+        default=None, description="Path to the file to import load data from."
+    )
+    load1_import_json: Optional[str] = Field(
+        default=None, description="JSON string, dictionary of load forecast value lists."
+    )
+    load2_import_file_path: Optional[Union[str, Path]] = Field(
+        default=None, description="Path to the file to import load data from."
+    )
+    load2_import_json: Optional[str] = Field(
+        default=None, description="JSON string, dictionary of load forecast value lists."
+    )
+    load3_import_file_path: Optional[Union[str, Path]] = Field(
+        default=None, description="Path to the file to import load data from."
+    )
+    load3_import_json: Optional[str] = Field(
+        default=None, description="JSON string, dictionary of load forecast value lists."
+    )
+    load4_import_file_path: Optional[Union[str, Path]] = Field(
+        default=None, description="Path to the file to import load data from."
+    )
+    load4_import_json: Optional[str] = Field(
+        default=None, description="JSON string, dictionary of load forecast value lists."
+    )
+
+    # Validators
+    @field_validator(
+        "load0_import_file_path",
+        "load1_import_file_path",
+        "load2_import_file_path",
+        "load3_import_file_path",
+        "load4_import_file_path",
+        mode="after",
+    )
+    @classmethod
+    def validate_loadimport_file_path(cls, value: Optional[Union[str, Path]]) -> Optional[Path]:
+        if value is None:
+            return None
+        if isinstance(value, str):
+            value = Path(value)
+        """Ensure file is available."""
+        value.resolve()
+        if not value.is_file():
+            raise ValueError(f"Import file path '{value}' is not a file.")
+        return value
+
+
+class LoadImport(LoadProvider, PredictionImportProvider):
+    """Fetch Load data from import file or JSON string.
+
+    LoadImport is a singleton-based class that retrieves load forecast data
+    from a file or JSON string and maps it to `LoadDataRecord` fields. It manages the forecast
+    over a range of hours into the future and retains historical data.
+    """
+
+    @classmethod
+    def provider_id(cls) -> str:
+        """Return the unique identifier for the LoadImport provider."""
+        return "LoadImport"
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        for load in self.loads():
+            attr_file_path = f"{load}_import_file_path"
+            attr_json = f"{load}_import_json"
+            import_file_path = getattr(self.config, attr_file_path)
+            if import_file_path is not None:
+                self.import_from_file(import_file_path, key_prefix=load)
+            import_json = getattr(self.config, attr_json)
+            if import_json is not None:
+                self.import_from_json(import_json, key_prefix=load)
diff --git a/tests/test_loadakkudoktor.py b/tests/test_loadakkudoktor.py
new file mode 100644
index 0000000..8c9b0e9
--- /dev/null
+++ b/tests/test_loadakkudoktor.py
@@ -0,0 +1,94 @@
+from unittest.mock import patch
+
+import numpy as np
+import pendulum
+import pytest
+
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.prediction.loadakkudoktor import (
+    LoadAkkudoktor,
+    LoadAkkudoktorCommonSettings,
+)
+
+ems_eos = get_ems()
+
+
+@pytest.fixture
+def load_provider(monkeypatch):
+    """Fixture to create a LoadAkkudoktor instance."""
+    monkeypatch.setenv("load0_provider", "LoadAkkudoktor")
+    monkeypatch.setenv("load0_name", "Akkudoktor Profile")
+    monkeypatch.setenv("loadakkudoktor_year_energy", "1000")
+    return LoadAkkudoktor()
+
+
+@pytest.fixture
+def mock_load_profiles_file(tmp_path):
+    """Fixture to create a mock load profiles file."""
+    load_profiles_path = tmp_path / "load_profiles.npz"
+    np.savez(
+        load_profiles_path,
+        yearly_profiles=np.random.rand(365, 24),  # Random load profiles
+        yearly_profiles_std=np.random.rand(365, 24),  # Random standard deviation
+    )
+    return load_profiles_path
+
+
+def test_loadakkudoktor_settings_validator():
+    """Test the field validator for `loadakkudoktor_year_energy`."""
+    settings = LoadAkkudoktorCommonSettings(loadakkudoktor_year_energy=1234)
+    assert isinstance(settings.loadakkudoktor_year_energy, float)
+    assert settings.loadakkudoktor_year_energy == 1234.0
+
+    settings = LoadAkkudoktorCommonSettings(loadakkudoktor_year_energy=1234.56)
+    assert isinstance(settings.loadakkudoktor_year_energy, float)
+    assert settings.loadakkudoktor_year_energy == 1234.56
+
+
+def test_loadakkudoktor_provider_id(load_provider):
+    """Test the `provider_id` class method."""
+    assert load_provider.provider_id() == "LoadAkkudoktor"
+
+
+@patch("akkudoktoreos.prediction.loadakkudoktor.Path")
+@patch("akkudoktoreos.prediction.loadakkudoktor.np.load")
+def test_load_data_from_mock(mock_np_load, mock_path, mock_load_profiles_file, load_provider):
+    """Test the `load_data` method."""
+    # Mock path behavior to return the test file
+    mock_path.return_value.parent.parent.joinpath.return_value = mock_load_profiles_file
+
+    # Mock numpy load to return data similar to what would be in the file
+    mock_np_load.return_value = {
+        "yearly_profiles": np.ones((365, 24)),
+        "yearly_profiles_std": np.zeros((365, 24)),
+    }
+
+    # Test data loading
+    data_year_energy = load_provider.load_data()
+    assert data_year_energy is not None
+    assert data_year_energy.shape == (365, 2, 24)
+
+
+def test_load_data_from_file(load_provider):
+    """Test `load_data` loads data from the profiles file."""
+    data_year_energy = load_provider.load_data()
+    assert data_year_energy is not None
+
+
+@patch("akkudoktoreos.prediction.loadakkudoktor.LoadAkkudoktor.load_data")
+def test_update_data(mock_load_data, load_provider):
+    """Test the `_update` method."""
+    mock_load_data.return_value = np.random.rand(365, 2, 24)
+
+    # Mock methods for updating values
+    ems_eos.start_datetime = pendulum.datetime(2024, 1, 1)
+
+    # Assure there are no prediction records
+    load_provider.clear()
+    assert len(load_provider) == 0
+
+    # Execute the method
+    load_provider._update_data()
+
+    # Validate that update_value is called
+    assert len(load_provider) > 0

From 80060e17e03ce362cae86fa4bad8c34ebcf1cb24 Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Sun, 24 Nov 2024 09:23:43 +0100
Subject: [PATCH 17/19] Add core abstract and base classes.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 pyproject.toml                     |   11 +-
 requirements.txt                   |    1 +
 src/akkudoktoreos/core/coreabc.py  |  254 ++++++
 src/akkudoktoreos/core/dataabc.py  | 1303 ++++++++++++++++++++++++++++
 src/akkudoktoreos/core/pydantic.py |  226 +++++
 tests/test_dataabc.py              |  667 ++++++++++++++
 6 files changed, 2460 insertions(+), 2 deletions(-)
 create mode 100644 src/akkudoktoreos/core/coreabc.py
 create mode 100644 src/akkudoktoreos/core/dataabc.py
 create mode 100644 src/akkudoktoreos/core/pydantic.py
 create mode 100644 tests/test_dataabc.py

diff --git a/pyproject.toml b/pyproject.toml
index ae32262..95cd14e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -51,9 +51,16 @@ select = [
               # Google convention via `convention = "google"`, below.
 ]
 ignore = [
-    # On top of `Pyflakes (F)` to prevent errors for existing sources. Should be removed!!!
+   # Prevent errors due to ruff false positives
+   # ------------------------------------------
+   # On top of `Pyflakes (F)` to allow numpydantic Shape forward annotation
+   "F722",    # forward-annotation-syntax-error: forward annotations that include invalid syntax.
+
+    # Prevent errors for existing sources. Should be removed!!!
+    # ---------------------------------------------------------
+    # On top of `Pyflakes (F)`
     "F841",   # unused-variable: Local variable {name} is assigned to but never used
-    # On top of `pydocstyle (D)` to prevent errors for existing sources. Should be removed!!!
+    # On top of `pydocstyle (D)`
     "D100",   # undocumented-public-module: Missing docstring in public module
     "D101",   # undocumented-public-class: Missing docstring in public class
     "D102",   # undocumented-public-method: Missing docstring in public method
diff --git a/requirements.txt b/requirements.txt
index 0ad7318..366e098 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,5 @@
 numpy==2.1.3
+numpydantic==1.6.4
 matplotlib==3.9.2
 fastapi[standard]==0.115.5
 python-fasthtml==0.9.1
diff --git a/src/akkudoktoreos/core/coreabc.py b/src/akkudoktoreos/core/coreabc.py
new file mode 100644
index 0000000..57cb8a9
--- /dev/null
+++ b/src/akkudoktoreos/core/coreabc.py
@@ -0,0 +1,254 @@
+"""Abstract and base classes for EOS core.
+
+This module provides foundational classes for handling configuration and prediction functionality
+in EOS. It includes base classes that provide convenient access to global
+configuration and prediction instances through properties.
+
+Classes:
+    - ConfigMixin: Mixin class for managing and accessing global configuration.
+    - PredictionMixin: Mixin class for managing and accessing global prediction data.
+    - SingletonMixin: Mixin class to create singletons.
+"""
+
+import threading
+from typing import Any, ClassVar, Dict, Optional, Type
+
+from pendulum import DateTime
+from pydantic import computed_field
+
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class ConfigMixin:
+    """Mixin class for managing EOS configuration data.
+
+    This class serves as a foundational component for EOS-related classes requiring access
+    to the global EOS configuration. It provides a `config` property that dynamically retrieves
+    the configuration instance, ensuring up-to-date access to configuration settings.
+
+    Usage:
+        Subclass this base class to gain access to the `config` attribute, which retrieves the
+        global configuration instance lazily to avoid import-time circular dependencies.
+
+    Attributes:
+        config (ConfigEOS): Property to access the global EOS configuration.
+
+    Example:
+        ```python
+        class MyEOSClass(ConfigMixin):
+            def my_method(self):
+                if self.config.myconfigval:
+        ```
+    """
+
+    @property
+    def config(self) -> Any:
+        """Convenience method/ attribute to retrieve the EOS onfiguration data.
+
+        Returns:
+            ConfigEOS: The configuration.
+        """
+        # avoid circular dependency at import time
+        from akkudoktoreos.config.config import get_config
+
+        return get_config()
+
+
+class PredictionMixin:
+    """Mixin class for managing EOS prediction data.
+
+    This class serves as a foundational component for EOS-related classes requiring access
+    to global prediction data. It provides a `prediction` property that dynamically retrieves
+    the prediction instance, ensuring up-to-date access to prediction results.
+
+    Usage:
+        Subclass this base class to gain access to the `prediction` attribute, which retrieves the
+        global prediction instance lazily to avoid import-time circular dependencies.
+
+    Attributes:
+        prediction (Prediction): Property to access the global EOS prediction data.
+
+    Example:
+        ```python
+        class MyOptimizationClass(PredictionMixin):
+            def analyze_myprediction(self):
+                prediction_data = self.prediction.mypredictionresult
+                # Perform analysis
+        ```
+    """
+
+    @property
+    def prediction(self) -> Any:
+        """Convenience method/ attribute to retrieve the EOS prediction data.
+
+        Returns:
+            Prediction: The prediction.
+        """
+        # avoid circular dependency at import time
+        from akkudoktoreos.prediction.prediction import get_prediction
+
+        return get_prediction()
+
+
+class DevicesMixin:
+    """Mixin class for managing EOS devices simulation data.
+
+    This class serves as a foundational component for EOS-related classes requiring access
+    to global devices simulation data. It provides a `devices` property that dynamically retrieves
+    the devices instance, ensuring up-to-date access to devices simulation results.
+
+    Usage:
+        Subclass this base class to gain access to the `devices` attribute, which retrieves the
+        global devices instance lazily to avoid import-time circular dependencies.
+
+    Attributes:
+        devices (Devices): Property to access the global EOS devices simulation data.
+
+    Example:
+        ```python
+        class MyOptimizationClass(DevicesMixin):
+            def analyze_mydevicesimulation(self):
+                device_simulation_data = self.devices.mydevicesresult
+                # Perform analysis
+        ```
+    """
+
+    @property
+    def devices(self) -> Any:
+        """Convenience method/ attribute to retrieve the EOS devices simulation data.
+
+        Returns:
+            Devices: The devices simulation.
+        """
+        # avoid circular dependency at import time
+        from akkudoktoreos.devices.devices import get_devices
+
+        return get_devices()
+
+
+class EnergyManagementSystemMixin:
+    """Mixin class for managing EOS energy management system.
+
+    This class serves as a foundational component for EOS-related classes requiring access
+    to global energy management system. It provides a `ems` property that dynamically retrieves
+    the energy management system instance, ensuring up-to-date access to energy management system
+    control.
+
+    Usage:
+        Subclass this base class to gain access to the `ems` attribute, which retrieves the
+        global EnergyManagementSystem instance lazily to avoid import-time circular dependencies.
+
+    Attributes:
+        ems (EnergyManagementSystem): Property to access the global EOS energy management system.
+
+    Example:
+        ```python
+        class MyOptimizationClass(EnergyManagementSystemMixin):
+            def analyze_myprediction(self):
+                ems_data = self.ems.the_ems_method()
+                # Perform analysis
+        ```
+    """
+
+    @property
+    def ems(self) -> Any:
+        """Convenience method/ attribute to retrieve the EOS energy management system.
+
+        Returns:
+            EnergyManagementSystem: The energy management system.
+        """
+        # avoid circular dependency at import time
+        from akkudoktoreos.core.ems import get_ems
+
+        return get_ems()
+
+
+class StartMixin(EnergyManagementSystemMixin):
+    """A mixin to manage the start datetime for energy management.
+
+    Provides property:
+        - `start_datetime`: The starting datetime of the current or latest energy management.
+    """
+
+    # Computed field for start_datetime
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def start_datetime(self) -> Optional[DateTime]:
+        """Returns the start datetime of the current or latest energy management.
+
+        Returns:
+            DateTime: The starting datetime of the current or latest energy management, or None.
+        """
+        return self.ems.start_datetime
+
+
+class SingletonMixin:
+    """A thread-safe singleton mixin class.
+
+    Ensures that only one instance of the derived class is created, even when accessed from multiple
+    threads. This mixin is intended to be combined with other classes, such as Pydantic models,
+    to make them singletons.
+
+    Attributes:
+        _instances (Dict[Type, Any]): A dictionary holding instances of each singleton class.
+        _lock (threading.Lock): A lock to synchronize access to singleton instance creation.
+
+    Usage:
+        - Inherit from `SingletonMixin` alongside other classes to make them singletons.
+        - Avoid using `__init__` to reinitialize the singleton instance after it has been created.
+
+    Example:
+        class MySingletonModel(SingletonMixin, PydanticBaseModel):
+            name: str
+
+        instance1 = MySingletonModel(name="Instance 1")
+        instance2 = MySingletonModel(name="Instance 2")
+
+        assert instance1 is instance2  # True
+        print(instance1.name)          # Output: "Instance 1"
+    """
+
+    _lock: ClassVar[threading.Lock] = threading.Lock()
+    _instances: ClassVar[Dict[Type, Any]] = {}
+
+    def __new__(cls: Type["SingletonMixin"], *args: Any, **kwargs: Any) -> "SingletonMixin":
+        """Creates or returns the singleton instance of the class.
+
+        Ensures thread-safe instance creation by locking during the first instantiation.
+
+        Args:
+            *args: Positional arguments for instance creation (ignored if instance exists).
+            **kwargs: Keyword arguments for instance creation (ignored if instance exists).
+
+        Returns:
+            SingletonMixin: The singleton instance of the derived class.
+        """
+        if cls not in cls._instances:
+            with cls._lock:
+                if cls not in cls._instances:
+                    instance = super().__new__(cls)
+                    cls._instances[cls] = instance
+        return cls._instances[cls]
+
+    @classmethod
+    def reset_instance(cls) -> None:
+        """Resets the singleton instance, forcing it to be recreated on next access."""
+        with cls._lock:
+            if cls in cls._instances:
+                del cls._instances[cls]
+                logger.debug(f"{cls.__name__} singleton instance has been reset.")
+
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        """Initializes the singleton instance if it has not been initialized previously.
+
+        Further calls to `__init__` are ignored for the singleton instance.
+
+        Args:
+            *args: Positional arguments for initialization.
+            **kwargs: Keyword arguments for initialization.
+        """
+        if not hasattr(self, "_initialized"):
+            super().__init__(*args, **kwargs)
+            self._initialized = True
diff --git a/src/akkudoktoreos/core/dataabc.py b/src/akkudoktoreos/core/dataabc.py
new file mode 100644
index 0000000..197e0a8
--- /dev/null
+++ b/src/akkudoktoreos/core/dataabc.py
@@ -0,0 +1,1303 @@
+"""Abstract and base classes for generic data.
+
+This module provides classes for managing and processing generic data in a flexible, configurable manner.
+It includes classes to handle configurations, record structures, sequences, and containers for generic data,
+enabling efficient storage, retrieval, and manipulation of data records.
+
+This module is designed for use in predictive modeling workflows, facilitating the organization, serialization,
+and manipulation of configuration and generic data in a clear, scalable, and structured manner.
+"""
+
+import difflib
+import json
+from abc import abstractmethod
+from collections.abc import MutableMapping, MutableSequence
+from itertools import chain
+from pathlib import Path
+from typing import Any, Dict, Iterator, List, Optional, Tuple, Type, Union, overload
+
+import numpy as np
+import pandas as pd
+import pendulum
+from numpydantic import NDArray, Shape
+from pendulum import DateTime, Duration
+from pydantic import AwareDatetime, ConfigDict, Field, computed_field, field_validator
+
+from akkudoktoreos.core.coreabc import ConfigMixin, SingletonMixin, StartMixin
+from akkudoktoreos.core.pydantic import PydanticBaseModel
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime, to_duration
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
+
+class DataBase(ConfigMixin, StartMixin, PydanticBaseModel):
+    """Base class for handling generic data.
+
+    Enables access to EOS configuration data (attribute `config`).
+    """
+
+    pass
+
+
+class DataRecord(DataBase, MutableMapping):
+    """Base class for data records, enabling dynamic access to fields defined in derived classes.
+
+    Fields can be accessed and mutated both using dictionary-style access (`record['field_name']`)
+    and attribute-style access (`record.field_name`).
+
+    Attributes:
+        date_time (Optional[AwareDatetime]): Aware datetime indicating when the data record applies.
+
+    Configurations:
+        - Allows mutation after creation.
+        - Supports non-standard data types like `datetime`.
+    """
+
+    date_time: Optional[AwareDatetime] = Field(default=None, description="DateTime")
+
+    # Pydantic v2 model configuration
+    model_config = ConfigDict(arbitrary_types_allowed=True, populate_by_name=True)
+
+    @field_validator("date_time", mode="before")
+    @classmethod
+    def transform_to_datetime(cls, value: Any) -> DateTime:
+        """Converts various datetime formats into AwareDatetime."""
+        if value is None:
+            # Allow to set to default.
+            return None
+        return to_datetime(value)
+
+    @classmethod
+    def record_keys(cls) -> List[str]:
+        """Returns the keys of all fields in the data record."""
+        key_list = []
+        key_list.extend(list(cls.model_fields.keys()))
+        key_list.extend(list(cls.__pydantic_decorators__.computed_fields.keys()))
+        return key_list
+
+    @classmethod
+    def record_keys_writable(cls) -> List[str]:
+        """Returns the keys of all fields in the data record that are writable."""
+        return list(cls.model_fields.keys())
+
+    def _validate_key_writable(self, key: str) -> None:
+        """Verify that a specified key exists and is writable in the current record keys.
+
+        Args:
+            key (str): The key to check for in the records.
+
+        Raises:
+            KeyError: If the specified key is not in the expected list of keys for the records.
+        """
+        if key not in self.record_keys_writable():
+            raise KeyError(
+                f"Key '{key}' is not in writable record keys: {self.record_keys_writable()}"
+            )
+
+    def __getitem__(self, key: str) -> Any:
+        """Retrieve the value of a field by key name.
+
+        Args:
+            key (str): The name of the field to retrieve.
+
+        Returns:
+            Any: The value of the requested field.
+
+        Raises:
+            KeyError: If the specified key does not exist.
+        """
+        if key in self.model_fields:
+            return getattr(self, key)
+        raise KeyError(f"'{key}' not found in the record fields.")
+
+    def __setitem__(self, key: str, value: Any) -> None:
+        """Set the value of a field by key name.
+
+        Args:
+            key (str): The name of the field to set.
+            value (Any): The value to assign to the field.
+
+        Raises:
+            KeyError: If the specified key does not exist in the fields.
+        """
+        if key in self.model_fields:
+            setattr(self, key, value)
+        else:
+            raise KeyError(f"'{key}' is not a recognized field.")
+
+    def __delitem__(self, key: str) -> None:
+        """Delete the value of a field by key name by setting it to None.
+
+        Args:
+            key (str): The name of the field to delete.
+
+        Raises:
+            KeyError: If the specified key does not exist in the fields.
+        """
+        if key in self.model_fields:
+            setattr(self, key, None)  # Optional: set to None instead of deleting
+        else:
+            raise KeyError(f"'{key}' is not a recognized field.")
+
+    def __iter__(self) -> Iterator[str]:
+        """Iterate over the field names in the data record.
+
+        Returns:
+            Iterator[str]: An iterator over field names.
+        """
+        return iter(self.model_fields)
+
+    def __len__(self) -> int:
+        """Return the number of fields in the data record.
+
+        Returns:
+            int: The number of defined fields.
+        """
+        return len(self.model_fields)
+
+    def __repr__(self) -> str:
+        """Provide a string representation of the data record.
+
+        Returns:
+            str: A string representation showing field names and their values.
+        """
+        field_values = {field: getattr(self, field) for field in self.model_fields}
+        return f"{self.__class__.__name__}({field_values})"
+
+    def __getattr__(self, key: str) -> Any:
+        """Dynamic attribute access for fields.
+
+        Args:
+            key (str): The name of the field to access.
+
+        Returns:
+            Any: The value of the requested field.
+
+        Raises:
+            AttributeError: If the field does not exist.
+        """
+        if key in self.model_fields:
+            return getattr(self, key)
+        raise AttributeError(f"'{self.__class__.__name__}' object has no attribute '{key}'")
+
+    def __setattr__(self, key: str, value: Any) -> None:
+        """Set attribute values directly if they are recognized fields.
+
+        Args:
+            key (str): The name of the attribute/field to set.
+            value (Any): The value to assign to the attribute/field.
+
+        Raises:
+            AttributeError: If the attribute/field does not exist.
+        """
+        if key in self.model_fields:
+            super().__setattr__(key, value)
+        else:
+            raise AttributeError(f"'{self.__class__.__name__}' object has no attribute '{key}'")
+
+    def __delattr__(self, key: str) -> None:
+        """Delete an attribute by setting it to None if it exists as a field.
+
+        Args:
+            key (str): The name of the attribute/field to delete.
+
+        Raises:
+            AttributeError: If the attribute/field does not exist.
+        """
+        if key in self.model_fields:
+            setattr(self, key, None)  # Optional: set to None instead of deleting
+        else:
+            super().__delattr__(key)
+
+    @classmethod
+    def key_from_description(cls, description: str, threshold: float = 0.8) -> Optional[str]:
+        """Returns the attribute key that best matches the provided description.
+
+        Fuzzy matching is used.
+
+        Args:
+            description (str): The description text to search for.
+            threshold (float): The minimum ratio for a match (0-1). Default is 0.8.
+
+        Returns:
+            Optional[str]: The attribute key if a match is found above the threshold, else None.
+        """
+        if description is None:
+            return None
+
+        # Get all descriptions from the fields
+        descriptions = {
+            field_name: field_info.description
+            for field_name, field_info in cls.model_fields.items()
+        }
+
+        # Use difflib to get close matches
+        matches = difflib.get_close_matches(
+            description, descriptions.values(), n=1, cutoff=threshold
+        )
+
+        # Check if there is a match
+        if matches:
+            best_match = matches[0]
+            # Return the key that corresponds to the best match
+            for key, desc in descriptions.items():
+                if desc == best_match:
+                    return key
+        return None
+
+    @classmethod
+    def keys_from_descriptions(
+        cls, descriptions: List[str], threshold: float = 0.8
+    ) -> List[Optional[str]]:
+        """Returns a list of attribute keys that best matches the provided list of descriptions.
+
+        Fuzzy matching is used.
+
+        Args:
+            descriptions (List[str]): A list of description texts to search for.
+            threshold (float): The minimum ratio for a match (0-1). Default is 0.8.
+
+        Returns:
+            List[Optional[str]]: A list of attribute keys matching the descriptions, with None for unmatched descriptions.
+        """
+        keys = []
+        for description in descriptions:
+            key = cls.key_from_description(description, threshold)
+            keys.append(key)
+        return keys
+
+
+class DataSequence(DataBase, MutableSequence):
+    """A managed sequence of DataRecord instances with list-like behavior.
+
+    The DataSequence class provides an ordered, mutable collection of DataRecord
+    instances, allowing list-style access for adding, deleting, and retrieving records. It also
+    supports advanced data operations such as JSON serialization, conversion to Pandas Series,
+    and sorting by timestamp.
+
+    Attributes:
+        records (List[DataRecord]): A list of DataRecord instances representing
+                                          individual generic data points.
+        record_keys (Optional[List[str]]): A list of field names (keys) expected in each
+                                           DataRecord.
+
+    Note:
+        Derived classes have to provide their own records field with correct record type set.
+
+    Usage:
+        # Example of creating, adding, and using DataSequence
+        class DerivedSequence(DataSquence):
+            records: List[DerivedDataRecord] = Field(default_factory=list,
+                                                        description="List of data records")
+
+        seq = DerivedSequence()
+        seq.insert(DerivedDataRecord(date_time=datetime.now(), temperature=72))
+        seq.insert(DerivedDataRecord(date_time=datetime.now(), temperature=75))
+
+        # Convert to JSON and back
+        json_data = seq.to_json()
+        new_seq = DerivedSequence.from_json(json_data)
+
+        # Convert to Pandas Series
+        series = seq.key_to_series('temperature')
+    """
+
+    # To be overloaded by derived classes.
+    records: List[DataRecord] = Field(default_factory=list, description="List of data records")
+
+    # Derived fields (computed)
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def record_keys(self) -> List[str]:
+        """Returns the keys of all fields in the data records."""
+        key_list = []
+        key_list.extend(list(self.record_class().model_fields.keys()))
+        key_list.extend(list(self.record_class().__pydantic_decorators__.computed_fields.keys()))
+        return key_list
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def record_keys_writable(self) -> List[str]:
+        """Returns the keys of all fields in the data records that are writable."""
+        return list(self.record_class().model_fields.keys())
+
+    @classmethod
+    def record_class(cls) -> Type:
+        """Returns the class of the data record this data sequence handles."""
+        # Access the model field metadata
+        field_info = cls.model_fields["records"]
+        # Get the list element type from the 'type_' attribute
+        list_element_type = field_info.annotation.__args__[0]
+        if not isinstance(list_element_type(), DataRecord):
+            raise ValueError(
+                f"Data record must be an instance of DataRecord: '{list_element_type}'."
+            )
+        return list_element_type
+
+    def _validate_key(self, key: str) -> None:
+        """Verify that a specified key exists in the current record keys.
+
+        Args:
+            key (str): The key to check for in the records.
+
+        Raises:
+            KeyError: If the specified key is not in the expected list of keys for the records.
+        """
+        if key not in self.record_keys:
+            raise KeyError(f"Key '{key}' is not in record keys: {self.record_keys}")
+
+    def _validate_key_writable(self, key: str) -> None:
+        """Verify that a specified key exists and is writable in the current record keys.
+
+        Args:
+            key (str): The key to check for in the records.
+
+        Raises:
+            KeyError: If the specified key is not in the expected list of keys for the records.
+        """
+        if key not in self.record_keys_writable:
+            raise KeyError(
+                f"Key '{key}' is not in writable record keys: {self.record_keys_writable}"
+            )
+
+    def _validate_record(self, value: DataRecord) -> None:
+        """Check if the provided value is a valid DataRecord with compatible keys.
+
+        Args:
+            value (DataRecord): The record to validate.
+
+        Raises:
+            ValueError: If the value is not an instance of DataRecord or has an invalid date_time type.
+            KeyError: If the value has different keys from those expected in the sequence.
+        """
+        # Assure value is of correct type
+        if value.__class__.__name__ != self.record_class().__name__:
+            raise ValueError(f"Value must be an instance of `{self.record_class().__name__}`.")
+
+        # Assure datetime value can be converted to datetime object
+        value.date_time = to_datetime(value.date_time)
+
+    @overload
+    def __getitem__(self, index: int) -> DataRecord: ...
+
+    @overload
+    def __getitem__(self, index: slice) -> list[DataRecord]: ...
+
+    def __getitem__(self, index: Union[int, slice]) -> Union[DataRecord, list[DataRecord]]:
+        """Retrieve a DataRecord or list of DataRecords by index or slice.
+
+        Supports both single item and slice-based access to the sequence.
+
+        Args:
+            index (int or slice): The index or slice to access.
+
+        Returns:
+            DataRecord or list[DataRecord]: A single DataRecord or a list of DataRecords.
+
+        Raises:
+            IndexError: If the index is invalid or out of range.
+        """
+        if isinstance(index, int):
+            # Single item access logic
+            return self.records[index]
+        elif isinstance(index, slice):
+            # Slice access logic
+            return self.records[index]
+        raise IndexError("Invalid index")
+
+    def __setitem__(self, index: Any, value: Any) -> None:
+        """Replace a data record or slice of records with new value(s).
+
+        Supports setting a single record at an integer index or
+        multiple records using a slice.
+
+        Args:
+            index (int or slice): The index or slice to modify.
+            value (DataRecord or list[DataRecord]):
+                Single record or list of records to set.
+
+        Raises:
+            ValueError: If the number of records does not match the slice length.
+            IndexError: If the index is out of range.
+        """
+        if isinstance(index, int):
+            if isinstance(value, list):
+                raise ValueError("Cannot assign list to single index")
+            self._validate_record(value)
+            self.records[index] = value
+        elif isinstance(index, slice):
+            if isinstance(value, DataRecord):
+                raise ValueError("Cannot assign single record to slice")
+            for record in value:
+                self._validate_record(record)
+            self.records[index] = value
+        else:
+            # Should never happen
+            raise TypeError("Invalid type for index")
+
+    def __delitem__(self, index: Any) -> None:
+        """Remove a single data record or a slice of records.
+
+        Supports deleting a single record by integer index
+        or multiple records using a slice.
+
+        Args:
+            index (int or slice): The index or slice to delete.
+
+        Raises:
+            IndexError: If the index is out of range.
+        """
+        del self.records[index]
+
+    def __len__(self) -> int:
+        """Get the number of DataRecords in the sequence.
+
+        Returns:
+            int: The count of records in the sequence.
+        """
+        return len(self.records)
+
+    def __iter__(self) -> Iterator[DataRecord]:
+        """Create an iterator for accessing DataRecords sequentially.
+
+        Returns:
+            Iterator[DataRecord]: An iterator for the records.
+        """
+        return iter(self.records)
+
+    def __repr__(self) -> str:
+        """Provide a string representation of the DataSequence.
+
+        Returns:
+            str: A string representation of the DataSequence.
+        """
+        return f"{self.__class__.__name__}([{', '.join(repr(record) for record in self.records)}])"
+
+    def insert(self, index: int, value: DataRecord) -> None:
+        """Insert a DataRecord at a specified index in the sequence.
+
+        This method inserts a `DataRecord` at the specified index within the sequence of records,
+        shifting subsequent records to the right. If `index` is 0, the record is added at the beginning
+        of the sequence, and if `index` is equal to the length of the sequence, the record is appended
+        at the end.
+
+        Args:
+            index (int): The position before which to insert the new record. An index of 0 inserts
+                        the record at the start, while an index equal to the length of the sequence
+                        appends it to the end.
+            value (DataRecord): The `DataRecord` instance to insert into the sequence.
+
+        Raises:
+            ValueError: If `value` is not an instance of `DataRecord`.
+        """
+        self.records.insert(index, value)
+
+    def insert_by_datetime(self, value: DataRecord) -> None:
+        """Insert or merge a DataRecord into the sequence based on its date.
+
+        If a record with the same date exists, merges new data fields with the existing record.
+        Otherwise, appends the record and maintains chronological order.
+
+        Args:
+            value (DataRecord): The record to add or merge.
+        """
+        self._validate_record(value)
+        # Check if a record with the given date already exists
+        for record in self.records:
+            if not isinstance(record.date_time, DateTime):
+                raise ValueError(
+                    f"Record date '{record.date_time}' is not a datetime, but a `{type(record.date_time).__name__}`."
+                )
+            if compare_datetimes(record.date_time, value.date_time).equal:
+                # Merge values, only updating fields where data record has a non-None value
+                for field, val in value.model_dump(exclude_unset=True).items():
+                    if field in value.record_keys_writable():
+                        setattr(record, field, val)
+                break
+        else:
+            # Add data record if the date does not exist
+            self.records.append(value)
+            # Sort the list by datetime after adding/updating
+            self.sort_by_datetime()
+
+    def update_value(self, date: DateTime, key: str, value: Any) -> None:
+        """Updates a specific value in the data record for a given date.
+
+        If a record for the date exists, updates the specified attribute with the new value.
+        Otherwise, appends a new record with the given value and maintains chronological order.
+
+        Args:
+            date (datetime): The date for which the weather value is to be added or updated.
+            key (str): The attribute name to be updated.
+            value: The new value to set for the specified attribute.
+        """
+        self._validate_key_writable(key)
+        # Ensure datetime objects are normalized
+        date = to_datetime(date, to_maxtime=False)
+        # Check if a record with the given date already exists
+        for record in self.records:
+            if not isinstance(record.date_time, DateTime):
+                raise ValueError(
+                    f"Record date '{record.date_time}' is not a datetime, but a `{type(record.date_time).__name__}`."
+                )
+            if compare_datetimes(record.date_time, date).equal:
+                # Update the DataRecord with the new value for the specified key
+                setattr(record, key, value)
+                break
+        else:
+            # Create a new record and append to the list
+            record = self.record_class()(date_time=date, **{key: value})
+            self.records.append(record)
+            # Sort the list by datetime after adding/updating
+            self.sort_by_datetime()
+
+    def to_datetimeindex(self) -> pd.DatetimeIndex:
+        """Generate a Pandas DatetimeIndex from the date_time fields of all records in the sequence.
+
+        Returns:
+            pd.DatetimeIndex: An index of datetime values corresponding to each record's date_time attribute.
+
+        Raises:
+            ValueError: If any record does not have a valid date_time attribute.
+        """
+        date_times = [record.date_time for record in self.records if record.date_time is not None]
+
+        if not date_times:
+            raise ValueError("No valid date_time values found in the records.")
+
+        return pd.DatetimeIndex(date_times)
+
+    def key_to_dict(
+        self,
+        key: str,
+        start_datetime: Optional[DateTime] = None,
+        end_datetime: Optional[DateTime] = None,
+    ) -> Dict[DateTime, Any]:
+        """Extract a dictionary indexed by the date_time field of the DataRecords.
+
+        The dictionary will contain values extracted from the specified key attribute of each DataRecord,
+        using the date_time field as the key.
+
+        Args:
+            key (str): The field name in the DataRecord from which to extract values.
+            start_datetime (datetime, optional): The start date to filter records (inclusive).
+            end_datetime (datetime, optional): The end date to filter records (exclusive).
+
+        Returns:
+            Dict[datetime, Any]: A dictionary with the date_time of each record as the key
+                                  and the values extracted from the specified key.
+
+        Raises:
+            KeyError: If the specified key is not found in any of the DataRecords.
+        """
+        self._validate_key(key)
+        # Ensure datetime objects are normalized
+        start_datetime = to_datetime(start_datetime, to_maxtime=False) if start_datetime else None
+        end_datetime = to_datetime(end_datetime, to_maxtime=False) if end_datetime else None
+
+        # Create a dictionary to hold date_time and corresponding values
+        filtered_data = {
+            to_datetime(record.date_time, as_string=True): getattr(record, key, None)
+            for record in self.records
+            if (start_datetime is None or compare_datetimes(record.date_time, start_datetime).ge)
+            and (end_datetime is None or compare_datetimes(record.date_time, end_datetime).lt)
+        }
+
+        return filtered_data
+
+    def key_to_lists(
+        self,
+        key: str,
+        start_datetime: Optional[DateTime] = None,
+        end_datetime: Optional[DateTime] = None,
+    ) -> Tuple[List[DateTime], List[Optional[float]]]:
+        """Extracts two lists from data records within an optional date range.
+
+        The lists are:
+            Dates: List of datetime elements.
+            Values: List of values corresponding to the specified key in the data records.
+
+        Args:
+            key (str): The key of the attribute in DataRecord to extract.
+            start_datetime (datetime, optional): The start date for filtering the records (inclusive).
+            end_datetime (datetime, optional): The end date for filtering the records (exclusive).
+
+        Returns:
+            tuple: A tuple containing a list of datetime values and a list of extracted values.
+
+        Raises:
+            KeyError: If the specified key is not found in any of the DataRecords.
+        """
+        self._validate_key(key)
+        # Ensure datetime objects are normalized
+        start_datetime = to_datetime(start_datetime, to_maxtime=False) if start_datetime else None
+        end_datetime = to_datetime(end_datetime, to_maxtime=False) if end_datetime else None
+
+        # Create two lists to hold date_time and corresponding values
+        filtered_records = []
+        for record in self.records:
+            if record.date_time is None:
+                continue
+            if (
+                start_datetime is None or compare_datetimes(record.date_time, start_datetime).ge
+            ) and (end_datetime is None or compare_datetimes(record.date_time, end_datetime).lt):
+                filtered_records.append(record)
+        dates = [record.date_time for record in filtered_records]
+        values = [getattr(record, key, None) for record in filtered_records]
+
+        return dates, values
+
+    def key_to_series(
+        self,
+        key: str,
+        start_datetime: Optional[DateTime] = None,
+        end_datetime: Optional[DateTime] = None,
+    ) -> pd.Series:
+        """Extract a series indexed by the date_time field from data records within an optional date range.
+
+        Args:
+            key (str): The field name in the DataRecord from which to extract values.
+            start_datetime (datetime, optional): The start date for filtering the records (inclusive).
+            end_datetime (datetime, optional): The end date for filtering the records (exclusive).
+
+        Returns:
+            pd.Series: A Pandas Series with the index as the date_time of each record
+                        and the values extracted from the specified key.
+
+        Raises:
+            KeyError: If the specified key is not found in any of the DataRecords.
+        """
+        dates, values = self.key_to_lists(key, start_datetime, end_datetime)
+        return pd.Series(data=values, index=pd.DatetimeIndex(dates), name=key)
+
+    def key_from_series(self, key: str, series: pd.Series) -> None:
+        """Update the DataSequence from a Pandas Series.
+
+        The series index should represent the date_time of each DataRecord, and the series values
+        should represent the corresponding data values for the specified key.
+
+        Args:
+            series (pd.Series): A Pandas Series containing data to update the DataSequence.
+            key (str): The field name in the DataRecord that corresponds to the values in the Series.
+        """
+        self._validate_key_writable(key)
+
+        for date_time, value in series.items():
+            # Ensure datetime objects are normalized
+            date_time = to_datetime(date_time, to_maxtime=False) if date_time else None
+            # Check if there's an existing record for this date_time
+            existing_record = next((r for r in self.records if r.date_time == date_time), None)
+            if existing_record:
+                # Update existing record's specified key
+                setattr(existing_record, key, value)
+            else:
+                # Create a new DataRecord if none exists
+                new_record = self.record_class()(date_time=date_time, **{key: value})
+                self.records.append(new_record)
+        self.sort_by_datetime()
+
+    def key_to_array(
+        self,
+        key: str,
+        start_datetime: Optional[DateTime] = None,
+        end_datetime: Optional[DateTime] = None,
+        interval: Optional[Duration] = None,
+        fill_method: Optional[str] = None,
+    ) -> NDArray[Shape["*"], Any]:
+        """Extract an array indexed by fixed time intervals from data records within an optional date range.
+
+        Args:
+            key (str): The field name in the DataRecord from which to extract values.
+            start_datetime (datetime, optional): The start date for filtering the records (inclusive).
+            end_datetime (datetime, optional): The end date for filtering the records (exclusive).
+            interval (duration, optional): The fixed time interval. Defaults to 1 hour.
+            fill_method (str): Method to handle missing values during resampling.
+                - 'linear': Linearly interpolate missing values (for numeric data only).
+                - 'ffill': Forward fill missing values.
+                - 'bfill': Backward fill missing values.
+                - 'none': Defaults to 'linear' for numeric values, otherwise 'ffill'.
+
+        Returns:
+            np.ndarray: A NumPy Array of the values extracted from the specified key.
+
+        Raises:
+            KeyError: If the specified key is not found in any of the DataRecords.
+        """
+        resampled = None
+        if interval is None:
+            interval = to_duration("1 hour")
+        series = self.key_to_series(key, start_datetime, end_datetime)
+
+        # Handle missing values
+        if series.dtype in [np.float64, np.float32, np.int64, np.int32]:
+            # Numeric types
+            if fill_method is None:
+                fill_method = "linear"
+            # Resample the series to the specified interval
+            resampled = series.resample(interval).mean()
+            if fill_method == "linear":
+                resampled = resampled.interpolate(method="linear")
+            elif fill_method == "ffill":
+                resampled = resampled.ffill()
+            elif fill_method == "bfill":
+                resampled = resampled.bfill()
+            elif fill_method != "none":
+                raise ValueError(f"Unsupported fill method: {fill_method}")
+        else:
+            # Non-numeric types
+            if fill_method is None:
+                fill_method = "ffill"
+            # Resample the series to the specified interval
+            resampled = series.resample(interval).first()
+            if fill_method == "ffill":
+                resampled = resampled.ffill()
+            elif fill_method == "bfill":
+                resampled = resampled.bfill()
+            elif fill_method != "none":
+                raise ValueError(f"Unsupported fill method for non-numeric data: {fill_method}")
+
+        # Convert the resampled series to a NumPy array
+        array = resampled.values
+        return array
+
+    def sort_by_datetime(self, reverse: bool = False) -> None:
+        """Sort the DataRecords in the sequence by their date_time attribute.
+
+        This method modifies the existing list of records in place, arranging them in order
+        based on the date_time attribute of each DataRecord.
+
+        Args:
+            reverse (bool, optional): If True, sorts in descending order.
+                                      If False (default), sorts in ascending order.
+
+        Raises:
+            TypeError: If any record's date_time attribute is None or not comparable.
+        """
+        try:
+            # Use a default value (-inf or +inf) for None to make all records comparable
+            self.records.sort(
+                key=lambda record: record.date_time or pendulum.datetime(1, 1, 1, 0, 0, 0),
+                reverse=reverse,
+            )
+        except TypeError as e:
+            # Provide a more informative error message
+            none_records = [i for i, record in enumerate(self.records) if record.date_time is None]
+            if none_records:
+                raise TypeError(
+                    f"Cannot sort: {len(none_records)} record(s) have None date_time "
+                    f"at indices {none_records}"
+                ) from e
+            raise
+
+    def delete_by_datetime(
+        self, start_datetime: Optional[DateTime] = None, end_datetime: Optional[DateTime] = None
+    ) -> None:
+        """Delete DataRecords from the sequence within a specified datetime range.
+
+        Removes records with `date_time` attributes that fall between `start_datetime` (inclusive)
+        and `end_datetime` (exclusive). If only `start_datetime` is provided, records from that date
+        onward will be removed. If only `end_datetime` is provided, records up to that date will be
+        removed. If none is given, no record will be deleted.
+
+        Args:
+            start_datetime (datetime, optional): The start date to begin deleting records (inclusive).
+            end_datetime (datetime, optional): The end date to stop deleting records (exclusive).
+
+        Raises:
+            ValueError: If both `start_datetime` and `end_datetime` are None.
+        """
+        # Ensure datetime objects are normalized
+        start_datetime = to_datetime(start_datetime, to_maxtime=False) if start_datetime else None
+        end_datetime = to_datetime(end_datetime, to_maxtime=False) if end_datetime else None
+
+        # Retain records that are outside the specified range
+        retained_records = []
+        for record in self.records:
+            if record.date_time is None:
+                continue
+            if (
+                (
+                    start_datetime is not None
+                    and compare_datetimes(record.date_time, start_datetime).lt
+                )
+                or (
+                    end_datetime is not None
+                    and compare_datetimes(record.date_time, end_datetime).ge
+                )
+                or (start_datetime is None and end_datetime is None)
+            ):
+                retained_records.append(record)
+        self.records = retained_records
+
+    def key_delete_by_datetime(
+        self,
+        key: str,
+        start_datetime: Optional[DateTime] = None,
+        end_datetime: Optional[DateTime] = None,
+    ) -> None:
+        """Delete an attribute specified by `key` from records in the sequence within a given datetime range.
+
+        This method removes the attribute identified by `key` from records that have a `date_time` value falling
+        within the specified `start_datetime` (inclusive) and `end_datetime` (exclusive) range.
+
+        - If only `start_datetime` is specified, attributes will be removed from records from that date onward.
+        - If only `end_datetime` is specified, attributes will be removed from records up to that date.
+        - If neither `start_datetime` nor `end_datetime` is given, the attribute will be removed from all records.
+
+        Args:
+            key (str): The attribute name to delete from each record.
+            start_datetime (datetime, optional): The start datetime to begin attribute deletion (inclusive).
+            end_datetime (datetime, optional): The end datetime to stop attribute deletion (exclusive).
+
+        Raises:
+            KeyError: If `key` is not a valid attribute of the records.
+        """
+        self._validate_key_writable(key)
+        # Ensure datetime objects are normalized
+        start_datetime = to_datetime(start_datetime, to_maxtime=False) if start_datetime else None
+        end_datetime = to_datetime(end_datetime, to_maxtime=False) if end_datetime else None
+
+        for record in self.records:
+            if (
+                start_datetime is None or compare_datetimes(record.date_time, start_datetime).ge
+            ) and (end_datetime is None or compare_datetimes(record.date_time, end_datetime).lt):
+                del record[key]
+
+    def filter_by_datetime(
+        self, start_datetime: Optional[DateTime] = None, end_datetime: Optional[DateTime] = None
+    ) -> "DataSequence":
+        """Returns a new DataSequence object containing only records within the specified datetime range.
+
+        Args:
+            start_datetime (Optional[datetime]): The start of the datetime range (inclusive). If None, no lower limit.
+            end_datetime (Optional[datetime]): The end of the datetime range (exclusive). If None, no upper limit.
+
+        Returns:
+            DataSequence: A new DataSequence object with filtered records.
+        """
+        # Ensure datetime objects are normalized
+        start_datetime = to_datetime(start_datetime, to_maxtime=False) if start_datetime else None
+        end_datetime = to_datetime(end_datetime, to_maxtime=False) if end_datetime else None
+
+        filtered_records = [
+            record
+            for record in self.records
+            if (start_datetime is None or compare_datetimes(record.date_time, start_datetime).ge)
+            and (end_datetime is None or compare_datetimes(record.date_time, end_datetime).lt)
+        ]
+        return self.__class__(records=filtered_records)
+
+
+class DataProvider(SingletonMixin, DataSequence):
+    """Abstract base class for data providers with singleton thread-safety and configurable data parameters.
+
+    This class serves as a base for managing generic data, providing an interface for derived
+    classes to maintain a single instance across threads. It offers attributes for managing
+    data and historical data retention.
+
+    Note:
+        Derived classes have to provide their own records field with correct record type set.
+    """
+
+    update_datetime: Optional[AwareDatetime] = Field(
+        None, description="Latest update datetime for generic data"
+    )
+
+    @abstractmethod
+    def provider_id(self) -> str:
+        """Return the unique identifier for the data provider.
+
+        To be implemented by derived classes.
+        """
+        return "DataProvider"
+
+    @abstractmethod
+    def enabled(self) -> bool:
+        """Return True if the provider is enabled according to configuration.
+
+        To be implemented by derived classes.
+        """
+        return self.provider_id() == self.config.abstract_provider
+
+    @abstractmethod
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        """Abstract method for custom data update logic, to be implemented by derived classes.
+
+        Args:
+            force_update (bool, optional): If True, forces the provider to update the data even if still cached.
+        """
+        pass
+
+    def update_data(
+        self,
+        force_enable: Optional[bool] = False,
+        force_update: Optional[bool] = False,
+    ) -> None:
+        """Calls the custom update function if enabled or forced.
+
+        Args:
+            force_enable (bool, optional): If True, forces the update even if the provider is disabled.
+            force_update (bool, optional): If True, forces the provider to update the data even if still cached.
+        """
+        # Check after configuration is updated.
+        if not force_enable and not self.enabled():
+            return
+
+        # Call the custom update logic
+        self._update_data(force_update=force_update)
+
+        # Assure records are sorted.
+        self.sort_by_datetime()
+
+
+class DataImportProvider(DataProvider):
+    """Abstract base class for data providers that import generic data.
+
+    This class is designed to handle generic data provided in the form of a key-value dictionary.
+    - **Keys**: Represent identifiers from the record keys of a specific data.
+    - **Values**: Are lists of data values starting at a specified `start_datetime`, where
+      each value corresponds to a subsequent time interval (e.g., hourly).
+
+    Subclasses must implement the logic for managing generic data based on the imported records.
+    """
+
+    def import_datetimes(self, value_count: int) -> List[Tuple[DateTime, int]]:
+        """Generates a list of tuples containing timestamps and their corresponding value indices.
+
+        The function accounts for daylight saving time (DST) transitions:
+        - During a spring forward transition (e.g., DST begins), skipped hours are omitted.
+        - During a fall back transition (e.g., DST ends), repeated hours are included,
+        but they share the same value index.
+
+        Args:
+            value_count (int): The number of timestamps to generate.
+
+        Returns:
+            List[Tuple[DateTime, int]]:
+                A list of tuples, where each tuple contains:
+                - A `DateTime` object representing an hourly step from `start_datetime`.
+                - An integer value index corresponding to the logical hour.
+
+        Behavior:
+            - Skips invalid timestamps during DST spring forward transitions.
+            - Includes both instances of repeated timestamps during DST fall back transitions.
+            - Ensures the list contains exactly `value_count` entries.
+
+        Example:
+            >>> start_datetime = pendulum.datetime(2024, 11, 3, 0, 0, tz="America/New_York")
+            >>> import_datetimes(5)
+            [(DateTime(2024, 11, 3, 0, 0, tzinfo=Timezone('America/New_York')), 0),
+            (DateTime(2024, 11, 3, 1, 0, tzinfo=Timezone('America/New_York')), 1),
+            (DateTime(2024, 11, 3, 1, 0, tzinfo=Timezone('America/New_York')), 1),  # Repeated hour
+            (DateTime(2024, 11, 3, 2, 0, tzinfo=Timezone('America/New_York')), 2),
+            (DateTime(2024, 11, 3, 3, 0, tzinfo=Timezone('America/New_York')), 3)]
+        """
+        timestamps_with_indices: List[Tuple[DateTime, int]] = []
+        value_datetime = self.start_datetime
+        value_index = 0
+
+        while value_index < value_count:
+            i = len(timestamps_with_indices)
+            logger.debug(f"{i}: Insert at {value_datetime} with index {value_index}")
+            timestamps_with_indices.append((value_datetime, value_index))
+
+            # Check if there is a DST transition
+            next_time = value_datetime.add(hours=1)
+            if next_time <= value_datetime:
+                # Check if there is a DST transition (i.e., ambiguous time during fall back)
+                # Repeat the hour value (reuse value index)
+                value_datetime = next_time
+                logger.debug(f"{i+1}: Repeat at {value_datetime} with index {value_index}")
+                timestamps_with_indices.append((value_datetime, value_index))
+            elif next_time.hour != value_datetime.hour + 1 and value_datetime.hour != 23:
+                # Skip the hour value (spring forward in value index)
+                value_index += 1
+                logger.debug(f"{i+1}: Skip   at {next_time} with index {value_index}")
+
+            # Increment value index and value_datetime for new hour
+            value_index += 1
+            value_datetime = value_datetime.add(hours=1)
+
+        return timestamps_with_indices
+
+    def import_from_json(self, json_str: str, key_prefix: str = "") -> None:
+        """Updates generic data by importing it from a JSON string.
+
+        This method reads generic data from a JSON string, matches keys based on the
+        record keys and the provided `key_prefix`, and updates the data values sequentially,
+        starting from the `start_datetime`. Each data value is associated with an hourly
+        interval.
+
+        Args:
+            json_str (str): The JSON string containing the generic data.
+            key_prefix (str, optional): A prefix to filter relevant keys from the generic data.
+                Only keys starting with this prefix will be considered. Defaults to an empty string.
+
+        Raises:
+            JSONDecodeError: If the file content is not valid JSON.
+
+        Example:
+            Given a JSON string with the following content:
+            ```json
+            {
+                "load0_mean": [20.5, 21.0, 22.1],
+                "load1_mean": [50, 55, 60]
+            }
+            ```
+            and `key_prefix = "load1"`, only the "load1_mean" key will be processed even though
+            both keys are in the record.
+        """
+        import_data = json.loads(json_str)
+        for key in self.record_keys_writable:
+            if key.startswith(key_prefix) and key in import_data:
+                value_list = import_data[key]
+                value_datetime_mapping = self.import_datetimes(len(value_list))
+                for value_datetime, value_index in value_datetime_mapping:
+                    self.update_value(value_datetime, key, value_list[value_index])
+
+    def import_from_file(self, import_file_path: Path, key_prefix: str = "") -> None:
+        """Updates generic data by importing it from a file.
+
+        This method reads generic data from a JSON file, matches keys based on the
+        record keys and the provided `key_prefix`, and updates the data values sequentially,
+        starting from the `start_datetime`. Each data value is associated with an hourly
+        interval.
+
+        Args:
+            import_file_path (Path): The path to the JSON file containing the generic data.
+            key_prefix (str, optional): A prefix to filter relevant keys from the generic data.
+                Only keys starting with this prefix will be considered. Defaults to an empty string.
+
+        Raises:
+            FileNotFoundError: If the specified file does not exist.
+            JSONDecodeError: If the file content is not valid JSON.
+
+        Example:
+            Given a JSON file with the following content:
+            ```json
+            {
+                "load0_mean": [20.5, 21.0, 22.1],
+                "load1_mean": [50, 55, 60]
+            }
+            ```
+            and `key_prefix = "load1"`, only the "load1_mean" key will be processed even though
+            both keys are in the record.
+        """
+        with import_file_path.open("r") as import_file:
+            import_str = import_file.read()
+        self.import_from_json(import_str, key_prefix)
+
+
+class DataContainer(SingletonMixin, DataBase, MutableMapping):
+    """A container for managing multiple DataProvider instances.
+
+    This class enables access to data from multiple data providers, supporting retrieval and
+    aggregation of their data as Pandas Series objects. It acts as a dictionary-like structure
+    where each key represents a specific data field, and the value is a Pandas Series containing
+    combined data from all DataProvider instances for that key.
+
+    Note:
+        Derived classes have to provide their own providers field with correct provider type set.
+    """
+
+    # To be overloaded by derived classes.
+    providers: List[DataProvider] = Field(
+        default_factory=list, description="List of data providers"
+    )
+
+    @field_validator("providers", mode="after")
+    def check_providers(cls, value: List[DataProvider]) -> List[DataProvider]:
+        # Check each item in the list
+        for item in value:
+            if not isinstance(item, DataProvider):
+                raise TypeError(
+                    f"Each item in the providers list must be a DataProvider, got {type(item).__name__}"
+                )
+        return value
+
+    def __getitem__(self, key: str) -> pd.Series:
+        """Retrieve a Pandas Series for a specified key from the data in each DataProvider.
+
+        Iterates through providers to find and return the first available Series for the specified key.
+
+        Args:
+            key (str): The field name to retrieve, representing a data attribute in DataRecords.
+
+        Returns:
+            pd.Series: A Pandas Series containing aggregated data for the specified key.
+
+        Raises:
+            KeyError: If no provider contains data for the specified key.
+        """
+        series = None
+        for provider in self.providers:
+            try:
+                series = provider.key_to_series(key)
+                break
+            except KeyError:
+                continue
+
+        if series is None:
+            raise KeyError(f"No data found for key '{key}'.")
+
+        return series
+
+    def __setitem__(self, key: str, value: pd.Series) -> None:
+        """Add or merge a Pandas Series for a specified key into the records of an appropriate provider.
+
+        Attempts to update or insert the provided Series data in each provider. If no provider supports
+        the specified key, an error is raised.
+
+        Args:
+            key (str): The field name to update, representing a data attribute in DataRecords.
+            value (pd.Series): A Pandas Series containing data for the specified key.
+
+        Raises:
+            ValueError: If `value` is not an instance of `pd.Series`.
+            KeyError: If no provider supports the specified key.
+        """
+        if not isinstance(value, pd.Series):
+            raise ValueError("Value must be an instance of pd.Series.")
+
+        for provider in self.providers:
+            try:
+                provider.key_from_series(key, value)
+                break
+            except KeyError:
+                continue
+        else:
+            raise KeyError(f"Key '{key}' not found in any provider.")
+
+    def __delitem__(self, key: str) -> None:
+        """Set the value of the specified key in the data records of each provider to None.
+
+        Args:
+            key (str): The field name in DataRecords to clear.
+
+        Raises:
+            KeyError: If the key is not found in any provider.
+        """
+        for provider in self.providers:
+            try:
+                provider.key_delete_by_datetime(key)
+                break
+            except KeyError:
+                continue
+        else:
+            raise KeyError(f"Key '{key}' not found in any provider.")
+
+    def __iter__(self) -> Iterator[str]:
+        """Return an iterator over all unique keys available across providers.
+
+        Returns:
+            Iterator[str]: An iterator over the unique keys from all providers.
+        """
+        return iter(set(chain.from_iterable(provider.record_keys for provider in self.providers)))
+
+    def __len__(self) -> int:
+        """Return the number of keys in the container.
+
+        Returns:
+            int: The total number of keys in this container.
+        """
+        return len(list(chain.from_iterable(provider.record_keys for provider in self.providers)))
+
+    def __repr__(self) -> str:
+        """Provide a string representation of the DataContainer instance.
+
+        Returns:
+            str: A string representing the container and its contained providers.
+        """
+        return f"{self.__class__.__name__}({self.providers})"
+
+    def update_data(
+        self,
+        force_enable: Optional[bool] = False,
+        force_update: Optional[bool] = False,
+    ) -> None:
+        """Update data.
+
+        Args:
+            force_enable (bool, optional): If True, forces the update even if a provider is disabled.
+            force_update (bool, optional): If True, forces the providers to update the data even if still cached.
+        """
+        for provider in self.providers:
+            provider.update_data(force_enable=force_enable, force_update=force_update)
+
+    def key_to_array(
+        self,
+        key: str,
+        start_datetime: Optional[DateTime] = None,
+        end_datetime: Optional[DateTime] = None,
+        interval: Optional[Duration] = None,
+        fill_method: Optional[str] = None,
+    ) -> NDArray[Shape["*"], Any]:
+        """Retrieve an array indexed by fixed time intervals for a specified key from the data in each DataProvider.
+
+        Iterates through providers to find and return the first available array for the specified key.
+
+        Args:
+            key (str): The field name to retrieve, representing a data attribute in DataRecords.
+            start_datetime (datetime, optional): The start date for filtering the records (inclusive).
+            end_datetime (datetime, optional): The end date for filtering the records (exclusive).
+            interval (duration, optional): The fixed time interval. Defaults to 1 hour.
+            fill_method (str): Method to handle missing values during resampling.
+                - 'linear': Linearly interpolate missing values (for numeric data only).
+                - 'ffill': Forward fill missing values.
+                - 'bfill': Backward fill missing values.
+                - 'none': Defaults to 'linear' for numeric values, otherwise 'ffill'.
+
+        Returns:
+            np.ndarray: A NumPy array containing aggregated data for the specified key.
+
+        Raises:
+            KeyError: If no provider contains data for the specified key.
+
+        Todo:
+            Cache the result in memory until the next `update_data` call.
+        """
+        array = None
+        for provider in self.providers:
+            try:
+                array = provider.key_to_array(
+                    key,
+                    start_datetime=start_datetime,
+                    end_datetime=end_datetime,
+                    interval=interval,
+                    fill_method=fill_method,
+                )
+                break
+            except KeyError:
+                continue
+
+        if array is None:
+            raise KeyError(f"No data found for key '{key}'.")
+
+        return array
+
+    def provider_by_id(self, provider_id: str) -> DataProvider:
+        """Retrieves a data provider by its unique identifier.
+
+        This method searches through the list of available providers and
+        returns the first provider whose `provider_id` matches the given
+        `provider_id`. If no matching provider is found, the method returns `None`.
+
+        Args:
+            provider_id (str): The unique identifier of the desired data provider.
+
+        Returns:
+            DataProvider: The data provider matching the given `provider_id`.
+
+        Raises:
+            ValueError if provider id is unknown.
+
+        Example:
+            provider = data.provider_by_id("WeatherImport")
+        """
+        providers = {provider.provider_id(): provider for provider in self.providers}
+        if provider_id not in providers:
+            error_msg = f"Unknown provider id: '{provider_id}' of '{providers.keys()}'."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+        return providers[provider_id]
diff --git a/src/akkudoktoreos/core/pydantic.py b/src/akkudoktoreos/core/pydantic.py
new file mode 100644
index 0000000..68d8997
--- /dev/null
+++ b/src/akkudoktoreos/core/pydantic.py
@@ -0,0 +1,226 @@
+"""Module for managing and serializing Pydantic-based models with custom support.
+
+This module introduces the `PydanticBaseModel` class, which extends Pydantic’s `BaseModel` to facilitate
+custom serialization and deserialization for `pendulum.DateTime` objects. The main features include
+automatic handling of `pendulum.DateTime` fields, custom serialization to ISO 8601 format, and utility
+methods for converting model instances to and from dictionary and JSON formats.
+
+Key Classes:
+    - PendulumDateTime: A custom type adapter that provides serialization and deserialization
+        functionality for `pendulum.DateTime` objects, converting them to ISO 8601 strings and back.
+    - PydanticBaseModel: A base model class for handling prediction records or configuration data
+        with automatic Pendulum DateTime handling and additional methods for JSON and dictionary
+        conversion.
+
+Classes:
+    PendulumDateTime(TypeAdapter[pendulum.DateTime]): Type adapter for `pendulum.DateTime` fields
+        with ISO 8601 serialization. Includes:
+        - serialize: Converts `pendulum.DateTime` instances to ISO 8601 string.
+        - deserialize: Converts ISO 8601 strings to `pendulum.DateTime` instances.
+        - is_iso8601: Validates if a string matches the ISO 8601 date format.
+
+    PydanticBaseModel(BaseModel): Extends `pydantic.BaseModel` to handle `pendulum.DateTime` fields
+        and adds convenience methods for dictionary and JSON serialization. Key methods:
+        - model_dump: Dumps the model, converting `pendulum.DateTime` fields to ISO 8601.
+        - model_construct: Constructs a model instance with automatic deserialization of
+            `pendulum.DateTime` fields from ISO 8601.
+        - to_dict: Serializes the model instance to a dictionary.
+        - from_dict: Constructs a model instance from a dictionary.
+        - to_json: Converts the model instance to a JSON string.
+        - from_json: Creates a model instance from a JSON string.
+
+Usage Example:
+    # Define custom settings in a model using PydanticBaseModel
+    class PredictionCommonSettings(PydanticBaseModel):
+        prediction_start: pendulum.DateTime = Field(...)
+
+    # Serialize a model instance to a dictionary or JSON
+    config = PredictionCommonSettings(prediction_start=pendulum.now())
+    config_dict = config.to_dict()
+    config_json = config.to_json()
+
+    # Deserialize from dictionary or JSON
+    new_config = PredictionCommonSettings.from_dict(config_dict)
+    restored_config = PredictionCommonSettings.from_json(config_json)
+
+Dependencies:
+    - `pendulum`: Required for handling timezone-aware datetime fields.
+    - `pydantic`: Required for model and validation functionality.
+
+Notes:
+    - This module enables custom handling of Pendulum DateTime fields within Pydantic models,
+      which is particularly useful for applications requiring consistent ISO 8601 datetime formatting
+      and robust timezone-aware datetime support.
+"""
+
+import json
+import re
+from typing import Any, Type
+
+import pendulum
+from pydantic import BaseModel, ConfigDict, TypeAdapter
+
+
+# Custom type adapter for Pendulum DateTime fields
+class PendulumDateTime(TypeAdapter[pendulum.DateTime]):
+    @classmethod
+    def serialize(cls, value: Any) -> str:
+        """Convert pendulum.DateTime to ISO 8601 string."""
+        if isinstance(value, pendulum.DateTime):
+            return value.to_iso8601_string()
+        raise ValueError(f"Expected pendulum.DateTime, got {type(value)}")
+
+    @classmethod
+    def deserialize(cls, value: Any) -> pendulum.DateTime:
+        """Convert ISO 8601 string to pendulum.DateTime."""
+        if isinstance(value, str) and cls.is_iso8601(value):
+            try:
+                return pendulum.parse(value)
+            except pendulum.parsing.exceptions.ParserError as e:
+                raise ValueError(f"Invalid date format: {value}") from e
+        elif isinstance(value, pendulum.DateTime):
+            return value
+        raise ValueError(f"Expected ISO 8601 string or pendulum.DateTime, got {type(value)}")
+
+    @staticmethod
+    def is_iso8601(value: str) -> bool:
+        """Check if the string is a valid ISO 8601 date string."""
+        iso8601_pattern = (
+            r"^(\d{4}-\d{2}-\d{2}[T ]\d{2}:\d{2}:\d{2}(?:\.\d{1,3})?(?:Z|[+-]\d{2}:\d{2})?)$"
+        )
+        return bool(re.match(iso8601_pattern, value))
+
+
+class PydanticBaseModel(BaseModel):
+    """Base model class with automatic serialization and deserialization of `pendulum.DateTime` fields.
+
+    This model serializes pendulum.DateTime objects to ISO 8601 strings and
+    deserializes ISO 8601 strings to pendulum.DateTime objects.
+    """
+
+    # Enable custom serialization globally in config
+    model_config = ConfigDict(
+        arbitrary_types_allowed=True,
+        use_enum_values=True,
+        validate_assignment=True,
+    )
+
+    # Override Pydantic’s serialization for all DateTime fields
+    def model_dump(self, *args: Any, **kwargs: Any) -> dict:
+        """Custom dump method to handle serialization for DateTime fields."""
+        result = super().model_dump(*args, **kwargs)
+        for key, value in result.items():
+            if isinstance(value, pendulum.DateTime):
+                result[key] = PendulumDateTime.serialize(value)
+        return result
+
+    @classmethod
+    def model_construct(cls, data: dict) -> "PydanticBaseModel":
+        """Custom constructor to handle deserialization for DateTime fields."""
+        for key, value in data.items():
+            if isinstance(value, str) and PendulumDateTime.is_iso8601(value):
+                data[key] = PendulumDateTime.deserialize(value)
+        return super().model_construct(data)
+
+    def reset_optional(self) -> "PydanticBaseModel":
+        """Resets all optional fields in the model to None.
+
+        Iterates through all model fields and sets any optional (non-required)
+        fields to None. The modification is done in-place on the current instance.
+
+        Returns:
+            PydanticBaseModel: The current instance with all optional fields
+                reset to None.
+
+        Example:
+            >>> settings = PydanticBaseModel(name="test", optional_field="value")
+            >>> settings.reset_optional()
+            >>> assert settings.optional_field is None
+        """
+        for field_name, field in self.model_fields.items():
+            if field.is_required is False:  # Check if field is optional
+                setattr(self, field_name, None)
+        return self
+
+    def to_dict(self) -> dict:
+        """Convert this PredictionRecord instance to a dictionary representation.
+
+        Returns:
+            dict: A dictionary where the keys are the field names of the PydanticBaseModel,
+                and the values are the corresponding field values.
+        """
+        return self.model_dump()
+
+    @classmethod
+    def from_dict(cls: Type["PydanticBaseModel"], data: dict) -> "PydanticBaseModel":
+        """Create a PydanticBaseModel instance from a dictionary.
+
+        Args:
+            data (dict): A dictionary containing data to initialize the PydanticBaseModel.
+                        Keys should match the field names defined in the model.
+
+        Returns:
+            PydanticBaseModel: An instance of the PydanticBaseModel populated with the data.
+
+        Notes:
+            Works with derived classes by ensuring the `cls` argument is used to instantiate the object.
+        """
+        return cls.model_validate(data)
+
+    @classmethod
+    def from_dict_with_reset(cls, data: dict | None = None) -> "PydanticBaseModel":
+        """Creates a new instance with reset optional fields, then updates from dict.
+
+        First creates an instance with default values, resets all optional fields
+        to None, then updates the instance with the provided dictionary data if any.
+
+        Args:
+            data (dict | None): Dictionary containing field values to initialize
+                the instance with. Defaults to None.
+
+        Returns:
+            PydanticBaseModel: A new instance with all optional fields initially
+                reset to None and then updated with provided data.
+
+        Example:
+            >>> data = {"name": "test", "optional_field": "value"}
+            >>> settings = PydanticBaseModel.from_dict_with_reset(data)
+            >>> # All non-specified optional fields will be None
+        """
+        # Create instance with model defaults
+        instance = cls()
+
+        # Reset all optional fields to None
+        instance.reset_optional()
+
+        # Update with provided data if any
+        if data:
+            # Use model_validate to ensure proper type conversion and validation
+            updated_instance = instance.model_validate({**instance.model_dump(), **data})
+            return updated_instance
+
+        return instance
+
+    def to_json(self) -> str:
+        """Convert the PydanticBaseModel instance to a JSON string.
+
+        Returns:
+            str: The JSON representation of the instance.
+        """
+        return self.model_dump_json()
+
+    @classmethod
+    def from_json(cls: Type["PydanticBaseModel"], json_str: str) -> "PydanticBaseModel":
+        """Create an instance of the PydanticBaseModel class or its subclass from a JSON string.
+
+        Args:
+            json_str (str): JSON string to parse and convert into a PydanticBaseModel instance.
+
+        Returns:
+            PydanticBaseModel: A new instance of the class, populated with data from the JSON string.
+
+        Notes:
+            Works with derived classes by ensuring the `cls` argument is used to instantiate the object.
+        """
+        data = json.loads(json_str)
+        return cls.model_validate(data)
diff --git a/tests/test_dataabc.py b/tests/test_dataabc.py
new file mode 100644
index 0000000..f58b9a7
--- /dev/null
+++ b/tests/test_dataabc.py
@@ -0,0 +1,667 @@
+from datetime import datetime, timezone
+from typing import Any, ClassVar, List, Optional, Union
+
+import numpy as np
+import pandas as pd
+import pendulum
+import pytest
+from pydantic import Field, ValidationError
+
+from akkudoktoreos.config.configabc import SettingsBaseModel
+from akkudoktoreos.core.dataabc import (
+    DataBase,
+    DataContainer,
+    DataImportProvider,
+    DataProvider,
+    DataRecord,
+    DataSequence,
+)
+from akkudoktoreos.core.ems import get_ems
+from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime, to_duration
+
+# Derived classes for testing
+# ---------------------------
+
+
+class DerivedConfig(SettingsBaseModel):
+    env_var: Optional[int] = Field(default=None, description="Test config by environment var")
+    instance_field: Optional[str] = Field(default=None, description="Test config by instance field")
+    class_constant: Optional[int] = Field(default=None, description="Test config by class constant")
+
+
+class DerivedBase(DataBase):
+    instance_field: Optional[str] = Field(default=None, description="Field Value")
+    class_constant: ClassVar[int] = 30
+
+
+class DerivedRecord(DataRecord):
+    data_value: Optional[float] = Field(default=None, description="Data Value")
+
+
+class DerivedSequence(DataSequence):
+    # overload
+    records: List[DerivedRecord] = Field(
+        default_factory=list, description="List of DerivedRecord records"
+    )
+
+    @classmethod
+    def record_class(cls) -> Any:
+        return DerivedRecord
+
+
+class DerivedDataProvider(DataProvider):
+    """A concrete subclass of DataProvider for testing purposes."""
+
+    # overload
+    records: List[DerivedRecord] = Field(
+        default_factory=list, description="List of DerivedRecord records"
+    )
+    provider_enabled: ClassVar[bool] = False
+    provider_updated: ClassVar[bool] = False
+
+    @classmethod
+    def record_class(cls) -> Any:
+        return DerivedRecord
+
+    # Implement abstract methods for test purposes
+    def provider_id(self) -> str:
+        return "DerivedDataProvider"
+
+    def enabled(self) -> bool:
+        return self.provider_enabled
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        # Simulate update logic
+        DerivedDataProvider.provider_updated = True
+
+
+class DerivedDataImportProvider(DataImportProvider):
+    """A concrete subclass of DataImportProvider for testing purposes."""
+
+    # overload
+    records: List[DerivedRecord] = Field(
+        default_factory=list, description="List of DerivedRecord records"
+    )
+    provider_enabled: ClassVar[bool] = False
+    provider_updated: ClassVar[bool] = False
+
+    @classmethod
+    def record_class(cls) -> Any:
+        return DerivedRecord
+
+    # Implement abstract methods for test purposes
+    def provider_id(self) -> str:
+        return "DerivedDataImportProvider"
+
+    def enabled(self) -> bool:
+        return self.provider_enabled
+
+    def _update_data(self, force_update: Optional[bool] = False) -> None:
+        # Simulate update logic
+        DerivedDataImportProvider.provider_updated = True
+
+
+class DerivedDataContainer(DataContainer):
+    providers: List[Union[DerivedDataProvider, DataProvider]] = Field(
+        default_factory=list, description="List of data providers"
+    )
+
+
+# Tests
+# ----------
+
+
+class TestDataBase:
+    @pytest.fixture
+    def base(self, reset_config, monkeypatch):
+        # Provide default values for configuration
+        derived = DerivedBase()
+        derived.config.update()
+        return derived
+
+    def test_get_config_value_key_error(self, base):
+        with pytest.raises(AttributeError):
+            base.config.non_existent_key
+
+
+class TestDataRecord:
+    def create_test_record(self, date, value):
+        """Helper function to create a test DataRecord."""
+        return DerivedRecord(date_time=date, data_value=value)
+
+    def test_getitem(self):
+        record = self.create_test_record(datetime(2024, 1, 3, tzinfo=timezone.utc), 10.0)
+        assert record["data_value"] == 10.0
+
+    def test_setitem(self):
+        record = self.create_test_record(datetime(2024, 1, 3, tzinfo=timezone.utc), 10.0)
+        record["data_value"] = 20.0
+        assert record.data_value == 20.0
+
+    def test_delitem(self):
+        record = self.create_test_record(datetime(2024, 1, 3, tzinfo=timezone.utc), 10.0)
+        record.data_value = 20.0
+        del record["data_value"]
+        assert record.data_value is None
+
+    def test_len(self):
+        record = self.create_test_record(datetime(2024, 1, 3, tzinfo=timezone.utc), 10.0)
+        record.date_time = None
+        record.data_value = 20.0
+        assert len(record) == 2
+
+    def test_to_dict(self):
+        record = self.create_test_record(datetime(2024, 1, 3, tzinfo=timezone.utc), 10.0)
+        record.data_value = 20.0
+        record_dict = record.to_dict()
+        assert "data_value" in record_dict
+        assert record_dict["data_value"] == 20.0
+        record2 = DerivedRecord.from_dict(record_dict)
+        assert record2 == record
+
+    def test_to_json(self):
+        record = self.create_test_record(datetime(2024, 1, 3, tzinfo=timezone.utc), 10.0)
+        record.data_value = 20.0
+        json_str = record.to_json()
+        assert "data_value" in json_str
+        assert "20.0" in json_str
+        record2 = DerivedRecord.from_json(json_str)
+        assert record2 == record
+
+
+class TestDataSequence:
+    @pytest.fixture
+    def sequence(self):
+        sequence0 = DerivedSequence()
+        assert len(sequence0) == 0
+        return sequence0
+
+    @pytest.fixture
+    def sequence2(self):
+        sequence = DerivedSequence()
+        record1 = self.create_test_record(datetime(1970, 1, 1), 1970)
+        record2 = self.create_test_record(datetime(1971, 1, 1), 1971)
+        sequence.append(record1)
+        sequence.append(record2)
+        assert len(sequence) == 2
+        return sequence
+
+    def create_test_record(self, date, value):
+        """Helper function to create a test DataRecord."""
+        return DerivedRecord(date_time=date, data_value=value)
+
+    # Test cases
+    def test_getitem(self, sequence):
+        assert len(sequence) == 0
+        record = self.create_test_record("2024-01-01 00:00:00", 0)
+        sequence.insert_by_datetime(record)
+        assert isinstance(sequence[0], DerivedRecord)
+
+    def test_setitem(self, sequence2):
+        new_record = self.create_test_record(datetime(2024, 1, 3, tzinfo=timezone.utc), 1)
+        sequence2[0] = new_record
+        assert sequence2[0].date_time == datetime(2024, 1, 3, tzinfo=timezone.utc)
+
+    def test_set_record_at_index(self, sequence2):
+        record1 = self.create_test_record(datetime(2024, 1, 3, tzinfo=timezone.utc), 1)
+        record2 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        sequence2[1] = record1
+        assert sequence2[1].date_time == datetime(2024, 1, 3, tzinfo=timezone.utc)
+        sequence2[0] = record2
+        assert len(sequence2) == 2
+        assert sequence2[0] == record2
+
+    def test_insert_duplicate_date_record(self, sequence):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        record2 = self.create_test_record(datetime(2023, 11, 5), 0.9)  # Duplicate date
+        sequence.insert_by_datetime(record1)
+        sequence.insert_by_datetime(record2)
+        assert len(sequence) == 1
+        assert sequence[0].data_value == 0.9  # Record should have merged with new value
+
+    def test_sort_by_datetime_ascending(self, sequence):
+        """Test sorting records in ascending order by date_time."""
+        records = [
+            self.create_test_record(pendulum.datetime(2024, 11, 1), 0.7),
+            self.create_test_record(pendulum.datetime(2024, 10, 1), 0.8),
+            self.create_test_record(pendulum.datetime(2024, 12, 1), 0.9),
+        ]
+        for i, record in enumerate(records):
+            sequence.insert(i, record)
+        sequence.sort_by_datetime()
+        sorted_dates = [record.date_time for record in sequence.records]
+        for i, expected_date in enumerate(
+            [
+                pendulum.datetime(2024, 10, 1),
+                pendulum.datetime(2024, 11, 1),
+                pendulum.datetime(2024, 12, 1),
+            ]
+        ):
+            assert compare_datetimes(sorted_dates[i], expected_date).equal
+
+    def test_sort_by_datetime_descending(self, sequence):
+        """Test sorting records in descending order by date_time."""
+        records = [
+            self.create_test_record(pendulum.datetime(2024, 11, 1), 0.7),
+            self.create_test_record(pendulum.datetime(2024, 10, 1), 0.8),
+            self.create_test_record(pendulum.datetime(2024, 12, 1), 0.9),
+        ]
+        for i, record in enumerate(records):
+            sequence.insert(i, record)
+        sequence.sort_by_datetime(reverse=True)
+        sorted_dates = [record.date_time for record in sequence.records]
+        for i, expected_date in enumerate(
+            [
+                pendulum.datetime(2024, 12, 1),
+                pendulum.datetime(2024, 11, 1),
+                pendulum.datetime(2024, 10, 1),
+            ]
+        ):
+            assert compare_datetimes(sorted_dates[i], expected_date).equal
+
+    def test_sort_by_datetime_with_none(self, sequence):
+        """Test sorting records when some date_time values are None."""
+        records = [
+            self.create_test_record(pendulum.datetime(2024, 11, 1), 0.7),
+            self.create_test_record(pendulum.datetime(2024, 10, 1), 0.8),
+            self.create_test_record(pendulum.datetime(2024, 12, 1), 0.9),
+        ]
+        for i, record in enumerate(records):
+            sequence.insert(i, record)
+        sequence.records[2].date_time = None
+        assert sequence.records[2].date_time is None
+        sequence.sort_by_datetime()
+        sorted_dates = [record.date_time for record in sequence.records]
+        for i, expected_date in enumerate(
+            [
+                None,  # None values should come first
+                pendulum.datetime(2024, 10, 1),
+                pendulum.datetime(2024, 11, 1),
+            ]
+        ):
+            if expected_date is None:
+                assert sorted_dates[i] is None
+            else:
+                assert compare_datetimes(sorted_dates[i], expected_date).equal
+
+    def test_sort_by_datetime_error_on_uncomparable(self, sequence):
+        """Test error is raised when date_time contains uncomparable values."""
+        records = [
+            self.create_test_record(pendulum.datetime(2024, 11, 1), 0.7),
+            self.create_test_record(pendulum.datetime(2024, 12, 1), 0.9),
+            self.create_test_record(pendulum.datetime(2024, 10, 1), 0.8),
+        ]
+        for i, record in enumerate(records):
+            sequence.insert(i, record)
+        with pytest.raises(
+            ValidationError, match="Date string not_a_datetime does not match any known formats."
+        ):
+            sequence.records[2].date_time = "not_a_datetime"  # Invalid date_time
+            sequence.sort_by_datetime()
+
+    def test_key_to_series(self, sequence):
+        record = self.create_test_record(datetime(2023, 11, 6), 0.8)
+        sequence.append(record)
+        series = sequence.key_to_series("data_value")
+        assert isinstance(series, pd.Series)
+        assert series[to_datetime(datetime(2023, 11, 6))] == 0.8
+
+    def test_key_from_series(self, sequence):
+        series = pd.Series(
+            data=[0.8, 0.9], index=pd.to_datetime([datetime(2023, 11, 5), datetime(2023, 11, 6)])
+        )
+        sequence.key_from_series("data_value", series)
+        assert len(sequence) == 2
+        assert sequence[0].data_value == 0.8
+        assert sequence[1].data_value == 0.9
+
+    def test_key_to_array(self, sequence):
+        interval = to_duration("1 day")
+        start_datetime = to_datetime("2023-11-6")
+        last_datetime = to_datetime("2023-11-8")
+        end_datetime = to_datetime("2023-11-9")
+        record = self.create_test_record(start_datetime, float(start_datetime.day))
+        sequence.insert_by_datetime(record)
+        record = self.create_test_record(last_datetime, float(last_datetime.day))
+        sequence.insert_by_datetime(record)
+        assert sequence[0].data_value == 6.0
+        assert sequence[1].data_value == 8.0
+
+        series = sequence.key_to_series(
+            key="data_value", start_datetime=start_datetime, end_datetime=end_datetime
+        )
+        assert len(series) == 2
+        assert series[to_datetime("2023-11-6")] == 6
+        assert series[to_datetime("2023-11-8")] == 8
+
+        array = sequence.key_to_array(
+            key="data_value",
+            start_datetime=start_datetime,
+            end_datetime=end_datetime,
+            interval=interval,
+        )
+        assert isinstance(array, np.ndarray)
+        assert len(array) == 3
+        assert array[0] == start_datetime.day
+        assert array[1] == 7
+        assert array[2] == last_datetime.day
+
+    def test_to_datetimeindex(self, sequence2):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 0.9)
+        sequence2.insert(0, record1)
+        sequence2.insert(1, record2)
+        dt_index = sequence2.to_datetimeindex()
+        assert isinstance(dt_index, pd.DatetimeIndex)
+        assert dt_index[0] == to_datetime(datetime(2023, 11, 5))
+        assert dt_index[1] == to_datetime(datetime(2023, 11, 6))
+
+    def test_delete_by_datetime_range(self, sequence):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 0.9)
+        record3 = self.create_test_record(datetime(2023, 11, 7), 1.0)
+        sequence.append(record1)
+        sequence.append(record2)
+        sequence.append(record3)
+        assert len(sequence) == 3
+        sequence.delete_by_datetime(
+            start_datetime=datetime(2023, 11, 6), end_datetime=datetime(2023, 11, 7)
+        )
+        assert len(sequence) == 2
+        assert sequence[0].date_time == to_datetime(datetime(2023, 11, 5))
+        assert sequence[1].date_time == to_datetime(datetime(2023, 11, 7))
+
+    def test_delete_by_datetime_start(self, sequence):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 0.9)
+        sequence.append(record1)
+        sequence.append(record2)
+        assert len(sequence) == 2
+        sequence.delete_by_datetime(start_datetime=datetime(2023, 11, 6))
+        assert len(sequence) == 1
+        assert sequence[0].date_time == to_datetime(datetime(2023, 11, 5))
+
+    def test_delete_by_datetime_end(self, sequence):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 0.9)
+        sequence.append(record1)
+        sequence.append(record2)
+        assert len(sequence) == 2
+        sequence.delete_by_datetime(end_datetime=datetime(2023, 11, 6))
+        assert len(sequence) == 1
+        assert sequence[0].date_time == to_datetime(datetime(2023, 11, 6))
+
+    def test_filter_by_datetime(self, sequence):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 0.9)
+        sequence.append(record1)
+        sequence.append(record2)
+        filtered_sequence = sequence.filter_by_datetime(start_datetime=datetime(2023, 11, 6))
+        assert len(filtered_sequence) == 1
+        assert filtered_sequence[0].date_time == to_datetime(datetime(2023, 11, 6))
+
+    def test_to_dict(self, sequence):
+        record = self.create_test_record(datetime(2023, 11, 6), 0.8)
+        sequence.append(record)
+        data_dict = sequence.to_dict()
+        assert isinstance(data_dict, dict)
+        sequence_other = sequence.from_dict(data_dict)
+        assert sequence_other == sequence
+
+    def test_to_json(self, sequence):
+        record = self.create_test_record(datetime(2023, 11, 6), 0.8)
+        sequence.append(record)
+        json_str = sequence.to_json()
+        assert isinstance(json_str, str)
+        assert "2023-11-06" in json_str
+        assert ":0.8" in json_str
+
+    def test_from_json(self, sequence, sequence2):
+        json_str = sequence2.to_json()
+        sequence = sequence.from_json(json_str)
+        assert len(sequence) == len(sequence2)
+        assert sequence[0].date_time == sequence2[0].date_time
+        assert sequence[0].data_value == sequence2[0].data_value
+
+    def test_key_to_dict(self, sequence):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 0.9)
+        sequence.append(record1)
+        sequence.append(record2)
+        data_dict = sequence.key_to_dict("data_value")
+        assert isinstance(data_dict, dict)
+        assert data_dict[to_datetime(datetime(2023, 11, 5), as_string=True)] == 0.8
+        assert data_dict[to_datetime(datetime(2023, 11, 6), as_string=True)] == 0.9
+
+    def test_key_to_lists(self, sequence):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 0.8)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 0.9)
+        sequence.append(record1)
+        sequence.append(record2)
+        dates, values = sequence.key_to_lists("data_value")
+        assert dates == [to_datetime(datetime(2023, 11, 5)), to_datetime(datetime(2023, 11, 6))]
+        assert values == [0.8, 0.9]
+
+
+class TestDataProvider:
+    # Fixtures and helper functions
+    @pytest.fixture
+    def provider(self):
+        """Fixture to provide an instance of TestDataProvider for testing."""
+        DerivedDataProvider.provider_enabled = True
+        DerivedDataProvider.provider_updated = False
+        return DerivedDataProvider()
+
+    @pytest.fixture
+    def sample_start_datetime(self):
+        """Fixture for a sample start datetime."""
+        return to_datetime(datetime(2024, 11, 1, 12, 0))
+
+    def create_test_record(self, date, value):
+        """Helper function to create a test DataRecord."""
+        return DerivedRecord(date_time=date, data_value=value)
+
+    # Tests
+
+    def test_singleton_behavior(self, provider):
+        """Test that DataProvider enforces singleton behavior."""
+        instance1 = provider
+        instance2 = DerivedDataProvider()
+        assert (
+            instance1 is instance2
+        ), "Singleton pattern is not enforced; instances are not the same."
+
+    def test_update_method_with_defaults(self, provider, sample_start_datetime, monkeypatch):
+        """Test the `update` method with default parameters."""
+        ems_eos = get_ems()
+
+        ems_eos.start_datetime = sample_start_datetime
+        provider.update_data()
+
+        assert provider.start_datetime == sample_start_datetime
+
+    def test_update_method_force_enable(self, provider, monkeypatch):
+        """Test that `update` executes when `force_enable` is True, even if `enabled` is False."""
+        # Override enabled to return False for this test
+        DerivedDataProvider.provider_enabled = False
+        DerivedDataProvider.provider_updated = False
+        provider.update_data(force_enable=True)
+        assert provider.enabled() is False, "Provider should be disabled, but enabled() is True."
+        assert (
+            DerivedDataProvider.provider_updated is True
+        ), "Provider should have been executed, but was not."
+
+    def test_delete_by_datetime(self, provider, sample_start_datetime):
+        """Test `delete_by_datetime` method for removing records by datetime range."""
+        # Add records to the provider for deletion testing
+        provider.records = [
+            self.create_test_record(sample_start_datetime - to_duration("3 hours"), 1),
+            self.create_test_record(sample_start_datetime - to_duration("1 hour"), 2),
+            self.create_test_record(sample_start_datetime + to_duration("1 hour"), 3),
+        ]
+
+        provider.delete_by_datetime(
+            start_datetime=sample_start_datetime - to_duration("2 hours"),
+            end_datetime=sample_start_datetime + to_duration("2 hours"),
+        )
+        assert (
+            len(provider.records) == 1
+        ), "Only one record should remain after deletion by datetime."
+        assert provider.records[0].date_time == sample_start_datetime - to_duration(
+            "3 hours"
+        ), "Unexpected record remains."
+
+
+class TestDataImportProvider:
+    # Fixtures and helper functions
+    @pytest.fixture
+    def provider(self):
+        """Fixture to provide an instance of DerivedDataImportProvider for testing."""
+        DerivedDataImportProvider.provider_enabled = True
+        DerivedDataImportProvider.provider_updated = False
+        return DerivedDataImportProvider()
+
+    @pytest.mark.parametrize(
+        "start_datetime, value_count, expected_mapping_count",
+        [
+            ("2024-11-10 00:00:00", 24, 24),  # No DST in Germany
+            ("2024-08-10 00:00:00", 24, 24),  # DST in Germany
+            ("2024-03-31 00:00:00", 24, 23),  # DST change in Germany (23 hours/ day)
+            ("2024-10-27 00:00:00", 24, 25),  # DST change in Germany (25 hours/ day)
+        ],
+    )
+    def test_import_datetimes(self, provider, start_datetime, value_count, expected_mapping_count):
+        ems_eos = get_ems()
+        ems_eos.start_datetime = to_datetime(start_datetime, in_timezone="Europe/Berlin")
+
+        value_datetime_mapping = provider.import_datetimes(value_count)
+
+        assert len(value_datetime_mapping) == expected_mapping_count
+
+    @pytest.mark.parametrize(
+        "start_datetime, value_count, expected_mapping_count",
+        [
+            ("2024-11-10 00:00:00", 24, 24),  # No DST in Germany
+            ("2024-08-10 00:00:00", 24, 24),  # DST in Germany
+            ("2024-03-31 00:00:00", 24, 23),  # DST change in Germany (23 hours/ day)
+            ("2024-10-27 00:00:00", 24, 25),  # DST change in Germany (25 hours/ day)
+        ],
+    )
+    def test_import_datetimes_utc(
+        self, set_other_timezone, provider, start_datetime, value_count, expected_mapping_count
+    ):
+        original_tz = set_other_timezone("Etc/UTC")
+        ems_eos = get_ems()
+        ems_eos.start_datetime = to_datetime(start_datetime, in_timezone="Europe/Berlin")
+        assert ems_eos.start_datetime.timezone.name == "Europe/Berlin"
+
+        value_datetime_mapping = provider.import_datetimes(value_count)
+
+        assert len(value_datetime_mapping) == expected_mapping_count
+
+
+class TestDataContainer:
+    # Fixture and helpers
+    @pytest.fixture
+    def container(self):
+        container = DerivedDataContainer()
+        return container
+
+    @pytest.fixture
+    def container_with_providers(self):
+        record1 = self.create_test_record(datetime(2023, 11, 5), 1)
+        record2 = self.create_test_record(datetime(2023, 11, 6), 2)
+        record3 = self.create_test_record(datetime(2023, 11, 7), 3)
+        provider = DerivedDataProvider()
+        provider.clear()
+        assert len(provider) == 0
+        provider.append(record1)
+        provider.append(record2)
+        provider.append(record3)
+        assert len(provider) == 3
+        container = DerivedDataContainer()
+        container.providers.clear()
+        assert len(container.providers) == 0
+        container.providers.append(provider)
+        assert len(container.providers) == 1
+        return container
+
+    def create_test_record(self, date, value):
+        """Helper function to create a test DataRecord."""
+        return DerivedRecord(date_time=date, data_value=value)
+
+    def test_append_provider(self, container):
+        assert len(container.providers) == 0
+        container.providers.append(DerivedDataProvider())
+        assert len(container.providers) == 1
+        assert isinstance(container.providers[0], DerivedDataProvider)
+
+    @pytest.mark.skip(reason="type check not implemented")
+    def test_append_provider_invalid_type(self, container):
+        with pytest.raises(ValueError, match="must be an instance of DataProvider"):
+            container.providers.append("not_a_provider")
+
+    def test_getitem_existing_key(self, container_with_providers):
+        assert len(container_with_providers.providers) == 1
+        # check all keys are available (don't care for position)
+        for key in ["data_value", "date_time"]:
+            assert key in list(container_with_providers.keys())
+        series = container_with_providers["data_value"]
+        assert isinstance(series, pd.Series)
+        assert series.name == "data_value"
+        assert series.tolist() == [1.0, 2.0, 3.0]
+
+    def test_getitem_non_existing_key(self, container_with_providers):
+        with pytest.raises(KeyError, match="No data found for key 'non_existent_key'"):
+            container_with_providers["non_existent_key"]
+
+    def test_setitem_existing_key(self, container_with_providers):
+        new_series = container_with_providers["data_value"]
+        new_series[:] = [4, 5, 6]
+        container_with_providers["data_value"] = new_series
+        series = container_with_providers["data_value"]
+        assert series.name == "data_value"
+        assert series.tolist() == [4, 5, 6]
+
+    def test_setitem_invalid_value(self, container_with_providers):
+        with pytest.raises(ValueError, match="Value must be an instance of pd.Series"):
+            container_with_providers["test_key"] = "not_a_series"
+
+    def test_setitem_non_existing_key(self, container_with_providers):
+        new_series = pd.Series([4, 5, 6], name="non_existent_key")
+        with pytest.raises(KeyError, match="Key 'non_existent_key' not found"):
+            container_with_providers["non_existent_key"] = new_series
+
+    def test_delitem_existing_key(self, container_with_providers):
+        del container_with_providers["data_value"]
+        series = container_with_providers["data_value"]
+        assert series.name == "data_value"
+        assert series.tolist() == [None, None, None]
+
+    def test_delitem_non_existing_key(self, container_with_providers):
+        with pytest.raises(KeyError, match="Key 'non_existent_key' not found"):
+            del container_with_providers["non_existent_key"]
+
+    def test_len(self, container_with_providers):
+        assert len(container_with_providers) == 3
+
+    def test_repr(self, container_with_providers):
+        representation = repr(container_with_providers)
+        assert representation.startswith("DerivedDataContainer(")
+        assert "DerivedDataProvider" in representation
+
+    def test_to_json(self, container_with_providers):
+        json_str = container_with_providers.to_json()
+        container_other = DerivedDataContainer.from_json(json_str)
+        assert container_other == container_with_providers
+
+    def test_from_json(self, container_with_providers):
+        json_str = container_with_providers.to_json()
+        container = DerivedDataContainer.from_json(json_str)
+        assert isinstance(container, DerivedDataContainer)
+        assert len(container.providers) == 1
+        assert container.providers[0] == container_with_providers.providers[0]
+
+    def test_provider_by_id(self, container_with_providers):
+        provider = container_with_providers.provider_by_id("DerivedDataProvider")
+        assert isinstance(provider, DerivedDataProvider)

From 6f01434f94287453d93ab1e1a608bc2a426e5e1a Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Sun, 1 Dec 2024 21:06:19 +0100
Subject: [PATCH 18/19] Adapt single test optimization to config.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 single_test_optimization.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/single_test_optimization.py b/single_test_optimization.py
index 51f495f..b81cd7d 100644
--- a/single_test_optimization.py
+++ b/single_test_optimization.py
@@ -4,7 +4,7 @@
 
 import numpy as np
 
-from akkudoktoreos.config import get_working_dir, load_config
+from akkudoktoreos.config.config import get_config
 from akkudoktoreos.optimization.genetic import (
     OptimizationParameters,
     optimization_problem,
@@ -281,9 +281,9 @@
 start_time = time.time()
 
 # Initialize the optimization problem using the default configuration
-working_dir = get_working_dir()
-config = load_config(working_dir)
-opt_class = optimization_problem(config, verbose=True, fixed_seed=42)
+config_eos = get_config()
+config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 24})
+opt_class = optimization_problem(verbose=True, fixed_seed=42)
 
 # Perform the optimisation based on the provided parameters and start hour
 ergebnis = opt_class.optimierung_ems(parameters=parameters, start_hour=start_hour)

From d13d31c4cafabe19220f712c25baafaf69b7e50b Mon Sep 17 00:00:00 2001
From: Bobby Noelte <b0661n0e17e@gmail.com>
Date: Sun, 1 Dec 2024 21:10:01 +0100
Subject: [PATCH 19/19] Adapt devices to config.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---
 src/akkudoktoreos/devices/battery.py  | 99 +++++++++++++++++++++------
 src/akkudoktoreos/devices/generic.py  | 61 ++++++++++++++---
 src/akkudoktoreos/devices/inverter.py | 52 ++++++++++++--
 3 files changed, 178 insertions(+), 34 deletions(-)

diff --git a/src/akkudoktoreos/devices/battery.py b/src/akkudoktoreos/devices/battery.py
index 1bfdc87..98b5d40 100644
--- a/src/akkudoktoreos/devices/battery.py
+++ b/src/akkudoktoreos/devices/battery.py
@@ -3,8 +3,12 @@
 import numpy as np
 from pydantic import BaseModel, Field, field_validator
 
+from akkudoktoreos.devices.devicesabc import DeviceBase
+from akkudoktoreos.utils.logutil import get_logger
 from akkudoktoreos.utils.utils import NumpyEncoder
 
+logger = get_logger(__name__)
+
 
 def max_ladeleistung_w_field(default: Optional[float] = None) -> Optional[float]:
     return Field(
@@ -83,31 +87,86 @@ def convert_numpy(cls, field: Any) -> Any:
         return NumpyEncoder.convert_numpy(field)[0]
 
 
-class PVAkku:
-    def __init__(self, parameters: BaseAkkuParameters, hours: int = 24):
-        # Battery capacity in Wh
-        self.kapazitaet_wh = parameters.kapazitaet_wh
-        # Initial state of charge in Wh
-        self.start_soc_prozent = parameters.start_soc_prozent
-        self.soc_wh = (parameters.start_soc_prozent / 100) * parameters.kapazitaet_wh
-        self.hours = hours
+class PVAkku(DeviceBase):
+    def __init__(
+        self,
+        parameters: Optional[BaseAkkuParameters] = None,
+        hours: Optional[int] = 24,
+        provider_id: Optional[str] = None,
+    ):
+        # Configuration initialisation
+        self.provider_id = provider_id
+        self.prefix = "<invalid>"
+        if self.provider_id == "GenericBattery":
+            self.prefix = "battery"
+        elif self.provider_id == "GenericBEV":
+            self.prefix = "bev"
+        # Parameter initialisiation
+        self.parameters = parameters
+        if hours is None:
+            self.hours = self.total_hours
+        else:
+            self.hours = hours
+
+        self.initialised = False
+        # Run setup if parameters are given, otherwise setup() has to be called later when the config is initialised.
+        if self.parameters is not None:
+            self.setup()
+
+    def setup(self) -> None:
+        if self.initialised:
+            return
+        if self.provider_id is not None:
+            # Setup by configuration
+            # Battery capacity in Wh
+            self.kapazitaet_wh = getattr(self.config, f"{self.prefix}_capacity")
+            # Initial state of charge in Wh
+            self.start_soc_prozent = getattr(self.config, f"{self.prefix}_soc_start")
+            self.hours = self.total_hours
+            # Charge and discharge efficiency
+            self.lade_effizienz = getattr(self.config, f"{self.prefix}_charge_efficiency")
+            self.entlade_effizienz = getattr(self.config, f"{self.prefix}_discharge_efficiency")
+            self.max_ladeleistung_w = getattr(self.config, f"{self.prefix}_charge_power_max")
+            # Only assign for storage battery
+            if self.provider_id == "GenericBattery":
+                self.min_soc_prozent = getattr(self.config, f"{self.prefix}_soc_mint")
+            else:
+                self.min_soc_prozent = 0
+            self.max_soc_prozent = getattr(self.config, f"{self.prefix}_soc_mint")
+        elif self.parameters is not None:
+            # Setup by parameters
+            # Battery capacity in Wh
+            self.kapazitaet_wh = self.parameters.kapazitaet_wh
+            # Initial state of charge in Wh
+            self.start_soc_prozent = self.parameters.start_soc_prozent
+            # Charge and discharge efficiency
+            self.lade_effizienz = self.parameters.lade_effizienz
+            self.entlade_effizienz = self.parameters.entlade_effizienz
+            self.max_ladeleistung_w = self.parameters.max_ladeleistung_w
+            # Only assign for storage battery
+            self.min_soc_prozent = (
+                self.parameters.min_soc_prozent
+                if isinstance(self.parameters, PVAkkuParameters)
+                else 0
+            )
+            self.max_soc_prozent = self.parameters.max_soc_prozent
+        else:
+            error_msg = "Parameters and provider ID missing. Can't instantiate."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
+        # init
+        if self.max_ladeleistung_w is None:
+            self.max_ladeleistung_w = self.kapazitaet_wh
         self.discharge_array = np.full(self.hours, 1)
         self.charge_array = np.full(self.hours, 1)
-        # Charge and discharge efficiency
-        self.lade_effizienz = parameters.lade_effizienz
-        self.entlade_effizienz = parameters.entlade_effizienz
-        self.max_ladeleistung_w = (
-            parameters.max_ladeleistung_w if parameters.max_ladeleistung_w else self.kapazitaet_wh
-        )
-        # Only assign for storage battery
-        self.min_soc_prozent = (
-            parameters.min_soc_prozent if isinstance(parameters, PVAkkuParameters) else 0
-        )
-        self.max_soc_prozent = parameters.max_soc_prozent
-        # Calculate min and max SoC in Wh
+        # Calculate start, min and max SoC in Wh
+        self.soc_wh = (self.start_soc_prozent / 100) * self.kapazitaet_wh
         self.min_soc_wh = (self.min_soc_prozent / 100) * self.kapazitaet_wh
         self.max_soc_wh = (self.max_soc_prozent / 100) * self.kapazitaet_wh
 
+        self.initialised = True
+
     def to_dict(self) -> dict[str, Any]:
         return {
             "kapazitaet_wh": self.kapazitaet_wh,
diff --git a/src/akkudoktoreos/devices/generic.py b/src/akkudoktoreos/devices/generic.py
index 7e2da82..2fdb79b 100644
--- a/src/akkudoktoreos/devices/generic.py
+++ b/src/akkudoktoreos/devices/generic.py
@@ -1,6 +1,13 @@
+from typing import Optional
+
 import numpy as np
 from pydantic import BaseModel, Field
 
+from akkudoktoreos.devices.devicesabc import DeviceBase
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
+
 
 class HomeApplianceParameters(BaseModel):
     consumption_wh: int = Field(
@@ -13,21 +20,57 @@ class HomeApplianceParameters(BaseModel):
     )
 
 
-class HomeAppliance:
-    def __init__(self, parameters: HomeApplianceParameters, hours: int = 24):
-        self.hours = hours  # Total duration for which the planning is done
-        self.consumption_wh = (
-            parameters.consumption_wh
-        )  # Total energy consumption of the device in kWh
-        self.duration_h = parameters.duration_h  # Duration of use in hours
+class HomeAppliance(DeviceBase):
+    def __init__(
+        self,
+        parameters: Optional[HomeApplianceParameters] = None,
+        hours: Optional[int] = 24,
+        provider_id: Optional[str] = None,
+    ):
+        # Configuration initialisation
+        self.provider_id = provider_id
+        self.prefix = "<invalid>"
+        if self.provider_id == "GenericDishWasher":
+            self.prefix = "dishwasher"
+        # Parameter initialisiation
+        self.parameters = parameters
+        if hours is None:
+            self.hours = self.total_hours
+        else:
+            self.hours = hours
+
+        self.initialised = False
+        # Run setup if parameters are given, otherwise setup() has to be called later when the config is initialised.
+        if self.parameters is not None:
+            self.setup()
+
+    def setup(self) -> None:
+        if self.initialised:
+            return
+        if self.provider_id is not None:
+            # Setup by configuration
+            self.hours = self.total_hours
+            self.consumption_wh = getattr(self.config, f"{self.prefix}_consumption")
+            self.duration_h = getattr(self.config, f"{self.prefix}_duration")
+        elif self.parameters is not None:
+            # Setup by parameters
+            self.consumption_wh = (
+                self.parameters.consumption_wh
+            )  # Total energy consumption of the device in kWh
+            self.duration_h = self.parameters.duration_h  # Duration of use in hours
+        else:
+            error_msg = "Parameters and provider ID missing. Can't instantiate."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
         self.load_curve = np.zeros(self.hours)  # Initialize the load curve with zeros
+        self.initialised = True
 
     def set_starting_time(self, start_hour: int, global_start_hour: int = 0) -> None:
         """Sets the start time of the device and generates the corresponding load curve.
 
         :param start_hour: The hour at which the device should start.
         """
-        self.reset()
+        self.reset_load_curve()
         # Check if the duration of use is within the available time frame
         if start_hour + self.duration_h > self.hours:
             raise ValueError("The duration of use exceeds the available time frame.")
@@ -40,7 +83,7 @@ def set_starting_time(self, start_hour: int, global_start_hour: int = 0) -> None
         # Set the power for the duration of use in the load curve array
         self.load_curve[start_hour : start_hour + self.duration_h] = power_per_hour
 
-    def reset(self) -> None:
+    def reset_load_curve(self) -> None:
         """Resets the load curve."""
         self.load_curve = np.zeros(self.hours)
 
diff --git a/src/akkudoktoreos/devices/inverter.py b/src/akkudoktoreos/devices/inverter.py
index 9c91ed1..7dca389 100644
--- a/src/akkudoktoreos/devices/inverter.py
+++ b/src/akkudoktoreos/devices/inverter.py
@@ -1,19 +1,61 @@
+from typing import Optional
+
 from pydantic import BaseModel, Field
 
 from akkudoktoreos.devices.battery import PVAkku
+from akkudoktoreos.devices.devicesabc import DeviceBase
+from akkudoktoreos.utils.logutil import get_logger
+
+logger = get_logger(__name__)
 
 
 class WechselrichterParameters(BaseModel):
     max_leistung_wh: float = Field(default=10000, gt=0)
 
 
-class Wechselrichter:
-    def __init__(self, parameters: WechselrichterParameters, akku: PVAkku):
-        self.max_leistung_wh = (
-            parameters.max_leistung_wh  # Maximum power that the inverter can handle
-        )
+class Wechselrichter(DeviceBase):
+    def __init__(
+        self,
+        parameters: Optional[WechselrichterParameters] = None,
+        akku: Optional[PVAkku] = None,
+        provider_id: Optional[str] = None,
+    ):
+        # Configuration initialisation
+        self.provider_id = provider_id
+        self.prefix = "<invalid>"
+        if self.provider_id == "GenericInverter":
+            self.prefix = "inverter"
+        # Parameter initialisiation
+        self.parameters = parameters
+        if akku is None:
+            # For the moment raise exception
+            # TODO: Make akku configurable by config
+            error_msg = "Battery for PV inverter is mandatory."
+            logger.error(error_msg)
+            raise NotImplementedError(error_msg)
         self.akku = akku  # Connection to a battery object
 
+        self.initialised = False
+        # Run setup if parameters are given, otherwise setup() has to be called later when the config is initialised.
+        if self.parameters is not None:
+            self.setup()
+
+    def setup(self) -> None:
+        if self.initialised:
+            return
+        if self.provider_id is not None:
+            # Setup by configuration
+            self.max_leistung_wh = getattr(self.config, f"{self.prefix}_power_max")
+        elif self.parameters is not None:
+            # Setup by parameters
+            self.max_leistung_wh = (
+                self.parameters.max_leistung_wh  # Maximum power that the inverter can handle
+            )
+        else:
+            error_msg = "Parameters and provider ID missing. Can't instantiate."
+            logger.error(error_msg)
+            raise ValueError(error_msg)
+
     def energie_verarbeiten(
         self, erzeugung: float, verbrauch: float, hour: int
     ) -> tuple[float, float, float, float]: