feat: initial commit

.github/workflows/build-and-publish-hkt-day-lists.yml

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+on:
+  schedule:
+    # Explanation of the Cron Expression:
+    # `*/5`: Every 5 minutes.
+    # `6-8`: From 06:00 AM to 08:59 AM.
+    # `*`: Every day of the month.
+    # `*`: Every month.
+    # `1-5`: Monday to Friday.
+    - cron: '*/5 6-8 * * 1-5'
+  pull_request:
+    branches: [main]
+  push:
+    branches: [main]
+jobs:
+  build-and-publish-hkt-day-lists:
+    name: Setup, build, and publish HKT day lists
+    runs-on: ubuntu-latest
+    steps:
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
+      - name: Checkout code
+        uses: actions/checkout@v4
+      - name: Install Python packages
+        run: pip install -r requirements.txt
+      - name: Install wkhtmltopdf
+        run: |
+          sudo apt-get update
+          sudo apt-get install wkhtmltopdf
+      - name: Build HKT day lists
+        env:
+          SERVICE_ACCOUNT_JSON_BASE64: ${{ secrets.SERVICE_ACCOUNT_JSON_BASE64 }}
+        id: build-hkt-day-lists
+        run: |
+          echo "$SERVICE_ACCOUNT_JSON_BASE64" | base64 --decode > /tmp/elternvertretung-b7713037bac6.json
+          python build-hkt-day-lists.py

.github/workflows/code-quality.yml

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+# SPDX-FileCopyrightText: Copyright DB InfraGO AG and contributors
+# SPDX-License-Identifier: CC0-1.0
+on:
+  push:
+    branches:
+      - main
+      - "*/v*.*.*"  # Match version tags for releases
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  code-quality:
+    runs-on: ubuntu-latest
+    name: Check code quality
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
+      - name: Install pre-commit
+        run: python -m pip install pre-commit
+      - name: Run pre-commit
+        run: pre-commit run --all-files

README.md

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+# Home Kita Tage (HKT)
+
+## Preconditions
+
+### Google account
+
+There is a Google account for the parent representatives. The login user name
+is the email address of the parent representatives and the password shall be
+the same as for the Microsoft (email) account given by the leadership of the
+kindergarten.
+
+### Input Excel file stored on Google Drive
+
+Home Kita days are to be named by parents and need to be stored in an Excel
+file on Google Drive at <https://drive.google.com/drive/u/3/my-drive>.
+
+The Excel file is named `HomeKitaTage.xlsx` and must be located at top level
+in the Google Drive.
+
+The first sheet in the Excel file must come with the following columns:
+
+- `Name`
+- `Group`
+- `Monday\nmorning`
+- `Monday\nafternoon`
+- `Tuesday\nmorning`
+- `Tuesday\nafternoon`
+- `Wednesday\nmorning`
+- `Wednesday\nafternoon`
+- `Thursday\nmorning`
+- `Thursday\nafternoon`
+- `Friday\nmorning`
+- `Friday\nafternoon`
+- `Comments`
+
+Above, the characters `\n` are to be understood as a newline character.
+
+The column `Name` contains the name of the child, `Group` the group to which
+the child belongs to in the kindergarten. The entries in the day columns shall
+be empty or filled with a number `1` meaning that the child is absent (at home)
+at this day and time.
+A `1` chas been chosen to be able to sum up the number children that are absent
+at a given day and time to see, if the absence times are equally distributed.

build-hkt-day-lists.py

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+import io
+import pathlib
+import typing as t
+
+import google.oauth2.credentials
+import google.oauth2.service_account
+import googleapiclient.errors  # type: ignore
+import googleapiclient.http  # type: ignore
+import pandas as pd
+import pdfkit  # type: ignore
+from docx import Document
+from docx.oxml import parse_xml
+from docx.oxml.ns import nsdecls
+from docx.shared import Inches
+from googleapiclient.discovery import build  # type: ignore
+
+HKT_FILE_NAME = "HomeKitaTage.xlsx"
+HKT_FILE_PATH = pathlib.Path(f"/tmp/{HKT_FILE_NAME}")
+SCOPES = ["https://www.googleapis.com/auth/drive"]
+SERVICE_ACCOUNT_FILE = pathlib.Path("/tmp/elternvertretung-b7713037bac6.json")
+if not SERVICE_ACCOUNT_FILE.is_file():
+    SERVICE_ACCOUNT_FILE = pathlib.Path(
+        "/data/elternvertretung-b7713037bac6.json"
+    )
+CREDENTIALS = (
+    google.oauth2.service_account.Credentials.from_service_account_file(
+        SERVICE_ACCOUNT_FILE, scopes=SCOPES
+    )
+)
+
+
+def dataframe_to_word(df, docx_file_path):
+    document = Document()
+
+    # Set custom margins (e.g., 0.5 inches for top and bottom)
+    sections = document.sections
+    for section in sections:
+        section.top_margin = Inches(0.5)
+        section.bottom_margin = Inches(0.5)
+
+    # Add a table with borders
+    table = document.add_table(rows=1, cols=len(df.columns))
+    table.style = "Table Grid"  # Use a built-in style with borders
+
+    # Add header row
+    hdr_cells = table.rows[0].cells
+    for i, column in enumerate(df.columns):
+        hdr_cells[i].text = str(column)
+
+    # Add data rows
+    for index, row in df.iterrows():
+        row_cells = table.add_row().cells
+        for i, value in enumerate(row):
+            row_cells[i].text = str(value)
+
+    # Apply borders to each cell (if needed)
+    for row in table.rows:
+        for cell in row.cells:
+            cell._element.get_or_add_tcPr().append(
+                parse_xml(r'<w:shd {} w:fill="FFFFFF"/>'.format(nsdecls("w")))
+            )
+            cell._element.get_or_add_tcPr().append(
+                parse_xml(
+                    (
+                        r'<w:tcBorders %s><w:top w:val="single" w:sz="4"/>'
+                        r'<w:left w:val="single" w:sz="4"/>'
+                        r'<w:bottom w:val="single" w:sz="4"/>'
+                        r'<w:right w:val="single" w:sz="4"/>'
+                        r"</w:tcBorders>"
+                    )
+                    % nsdecls("w")
+                )
+            )
+
+    document.save(docx_file_path)
+
+
+def export_excel_file_from_google_drive(filename) -> None:
+    HKT_FILE_PATH.unlink(missing_ok=True)
+    file: t.Optional[io.BytesIO] = None
+    try:
+        service = build("drive", "v3", credentials=CREDENTIALS)
+        results = (
+            service.files()
+            .list(fields="nextPageToken, files(id, name)")
+            .execute()
+        )
+        items = results.get("files", [])
+
+        if not items:
+            print("No files found.")
+        for item in items:
+            if item["name"] != filename:
+                continue
+            file_id = item["id"]
+            request = service.files().get_media(fileId=file_id)
+            file = io.BytesIO()
+            downloader = googleapiclient.http.MediaIoBaseDownload(
+                file, request
+            )
+            done = False
+            while done is False:
+                status, done = downloader.next_chunk()
+            HKT_FILE_PATH.write_bytes(file.getvalue())
+        if not HKT_FILE_PATH.is_file():
+            print(f"File {filename} not found.")
+    except googleapiclient.errors.HttpError as error:
+        print(f"An error occurred: {error}")
+
+
+def upload_overview_files_to_google_drive(
+    daily_overview_file_paths: list[pathlib.Path],
+) -> None:
+    try:
+        service = build("drive", "v3", credentials=CREDENTIALS)
+        for file_path in daily_overview_file_paths:
+            print(f"Upload {file_path}…")
+            file_metadata = {"name": file_path.stem}
+            media = googleapiclient.http.MediaFileUpload(
+                file_path, chunksize=-1
+            )
+            file = (
+                service.files()
+                .create(
+                    body=file_metadata,
+                    media_body=media,
+                    fields="id,name,webViewLink",
+                )
+                .execute()
+            )
+            print(f'File ID: {file.get("id")}')
+            print(f'Link: {file.get("webViewLink")}')
+            permission = {
+                "type": "user",
+                "role": "writer",
+                "emailAddress": "elternvertretung@bluetezeit-berlin.de"
+            }
+            # permission = {
+            #     "type": "user",
+            #     "role": "owner",
+            #     "emailAddress": "elternvertretung@bluetezeit-berlin.de"
+            # }
+            # https://developers.google.com/drive/api/reference/rest/v3/permissions/create
+            service.permissions().create(
+                fileId=file.get("id"),
+                body=permission,
+                transferOwnership=False,
+                sendNotificationEmail=False,
+                supportsAllDrives=True,
+                # moveToNewOwnersRoot=True,
+            ).execute()
+    except googleapiclient.errors.HttpError as error:
+        print(f"An error occurred: {error}")
+
+
+def generate_daily_overview_files() -> list[pathlib.Path]:
+    daily_overview_file_paths: list[pathlib.Path] = []
+    df = pd.read_excel(HKT_FILE_PATH, sheet_name="HKT Erfassung")
+    for group_name, group_df in df.groupby("Group"):
+        for no, day in enumerate(
+            (
+                "Monday",
+                "Tuesday",
+                "Wednesday",
+                "Thursday",
+                "Friday",
+            ),
+            start=1,
+        ):
+            day_df = group_df[
+                (group_df[f"{day}\nmorning"] == 1.0)
+                | (group_df[f"{day}\nafternoon"] == 1.0)
+            ]
+            day_df = day_df.replace(1.0, "Stay at home")
+            html_file_path = pathlib.Path(f"/tmp/{group_name}_{no}_{day}.html")
+            df = day_df[
+                [
+                    "Name",
+                    "Group",
+                    f"{day}\nmorning",
+                    f"{day}\nafternoon",
+                ]
+            ].fillna("")
+            df.to_html(html_file_path, index=False)
+            pdf_file_path = html_file_path.with_suffix(".pdf")
+            options = {"encoding": "UTF-8", "user-style-sheet": "style.css"}
+            pdfkit.from_file(
+                input=str(html_file_path),
+                output_path=str(pdf_file_path),
+                options=options,
+                verbose=False,
+            )
+            docx_file_path = html_file_path.with_suffix(".docx")
+            dataframe_to_word(df, docx_file_path)
+            # html_file_path.unlink(missing_ok=True)
+            for file_path in (
+                pdf_file_path,
+                docx_file_path,
+            ):
+                if file_path.is_file():
+                    daily_overview_file_paths.append(file_path)
+    return daily_overview_file_paths
+
+
+if __name__ == "__main__":
+    export_excel_file_from_google_drive(filename=HKT_FILE_NAME)
+    if not HKT_FILE_PATH.is_file():
+        print(f"File {HKT_FILE_NAME} not found.")
+        raise SystemExit(1)
+    daily_overview_file_paths = generate_daily_overview_files()
+    upload_overview_files_to_google_drive([daily_overview_file_paths[0]])

requirements.txt

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+google-api-python-client
+google-auth-httplib2
+google-auth-oauthlib
+openpyxl
+pandas
+pandas-stubs
+pdfkit  # Needs system pkg wkhtmltopdf
+python-docx

style.css

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+body {
+    font-family: 'Noto Emoji', sans-serif;
+}
+table {
+    border-collapse: collapse;
+    width: 100%;
+}
+