When running inside the process bus, switch all our logging over to a…

… queue

to prevent reentrant calls and file concurrency issues.

kolibri/core/tasks/main.py

@@ -25,10 +25,11 @@ def __job_storage():
 """ :type: Storage """
 
 
-def initialize_workers():
+def initialize_workers(log_queue=None):
     logger.info("Starting async task workers.")
     return Worker(
         connection=connection,
         regular_workers=conf.OPTIONS["Tasks"]["REGULAR_PRIORITY_WORKERS"],
         high_workers=conf.OPTIONS["Tasks"]["HIGH_PRIORITY_WORKERS"],
+        log_queue=log_queue,
     )

kolibri/core/tasks/worker.py

@@ -13,7 +13,12 @@
 
 
 def execute_job(
-    job_id, worker_host=None, worker_process=None, worker_thread=None, worker_extra=None
+    job_id,
+    worker_host=None,
+    worker_process=None,
+    worker_thread=None,
+    worker_extra=None,
+    log_queue=None,
 ):
     """
     Call the function stored in the job.func.
@@ -36,7 +41,7 @@ def execute_job(
     django_connection.close()
 
 
-def execute_job_with_python_worker(job_id):
+def execute_job_with_python_worker(job_id, log_queue=None):
     """
     Call execute_job but additionally with the current host, process and thread information taken
     directly from python internals.
@@ -50,11 +55,12 @@ def execute_job_with_python_worker(job_id):
         worker_host=socket.gethostname(),
         worker_process=str(os.getpid()),
         worker_thread=str(threading.get_ident()),
+        log_queue=log_queue,
     )
 
 
 class Worker(object):
-    def __init__(self, connection, regular_workers=2, high_workers=1):
+    def __init__(self, connection, regular_workers=2, high_workers=1, log_queue=None):
         # Internally, we use concurrent.future.Future to run and track
         # job executions. We need to keep track of which future maps to which
         # job they were made from, and we use the job_future_mapping dict to do
@@ -74,6 +80,8 @@ def __init__(self, connection, regular_workers=2, high_workers=1):
         # High workers run only 'high' priority jobs.
         self.regular_workers = regular_workers
         self.max_workers = regular_workers + high_workers
+        # Track any log queue that is passed in
+        self.log_queue = log_queue
 
         self.workers = self.start_workers()
         self.job_checker = self.start_job_checker()
@@ -191,6 +199,7 @@ def start_next_job(self, job):
         future = self.workers.submit(
             execute_job_with_python_worker,
             job_id=job.job_id,
+            log_queue=self.log_queue,
         )
 
         # Check if the job ID already exists in the future_job_mapping dictionary

kolibri/utils/logger.py

@@ -1,6 +1,11 @@
 import logging
 import os
+from logging.handlers import QueueHandler
+from logging.handlers import QueueListener
 from logging.handlers import TimedRotatingFileHandler
+from typing import Dict
+from typing import List
+from typing import Optional
 
 
 GET_FILES_TO_DELETE = "getFilesToDelete"
@@ -18,6 +23,62 @@
 }
 
 
+# Type definition for mapping of logger names to their handlers
+LoggerHandlerMap = Dict[str, List[logging.Handler]]
+
+
+class LoggerAwareQueueHandler(QueueHandler):
+    """
+    A QueueHandler that adds the logger name to the record so that it
+    can be properly handled in the listener.
+    """
+
+    def __init__(self, queue, logger_name: str):
+        super().__init__(queue)
+        self.logger_name = logger_name
+
+    def prepare(self, record: logging.LogRecord) -> logging.LogRecord:
+        """Prepare a record for queuing, ensuring it can be pickled if needed"""
+        # Get Queue class at runtime to check if we need pickle safety
+        from kolibri.utils.multiprocessing_compat import use_multiprocessing
+
+        # Only do pickle-safety preparation for logging if we're using multiprocessing
+        if use_multiprocessing():
+            if hasattr(record, "exc_info") and record.exc_info:
+                record.exc_text = (
+                    logging.getLogger()
+                    .handlers[0]
+                    .formatter.formatException(record.exc_info)
+                )
+                record.exc_info = None
+            if hasattr(record, "args"):
+                record.args = tuple(str(arg) for arg in record.args)
+
+        record = super().prepare(record)
+        record._logger_name = self.logger_name
+        return record
+
+
+class LoggerAwareQueueListener(QueueListener):
+    """A QueueListener that routes records to their original logger's handlers"""
+
+    def __init__(self, queue, logger_handlers: LoggerHandlerMap):
+        super().__init__(queue)
+        self.logger_handlers = logger_handlers
+
+    def handle(self, record: logging.LogRecord) -> None:
+        """Handle a record by sending it to the original logger's handlers"""
+        logger_name = getattr(record, "_logger_name", "")
+        handlers = self.logger_handlers.get(logger_name, [])
+
+        for handler in handlers:
+            try:
+                if record.levelno >= handler.level:
+                    handler.handle(record)
+            except Exception:
+                handler.handleError(record)
+
+
 class EncodingStreamHandler(logging.StreamHandler):
     """
     A custom stream handler that encodes the log message to the specified encoding.
@@ -312,3 +373,95 @@ def get_logging_config(LOG_ROOT, debug=False, debug_database=False):
         admin_logger_handlers = admin_logger.setdefault("handlers", [])
         admin_logger_handlers.append("mail_admins")
     return config
+
+
+# Track if queue logging has been initialized for the current process
+_queue_logging_initialized_for_process = False
+
+
+class QueueLoggingInitializedError(RuntimeError):
+    pass
+
+
+def _replace_handlers_with_queue(queue) -> LoggerHandlerMap:
+    """
+    Internal function to replace all logger handlers with queue handlers.
+    Returns a dict of the original logger handlers for the listener to consume.
+    """
+    global _queue_logging_initialized_for_process
+
+    if _queue_logging_initialized_for_process:
+        raise QueueLoggingInitializedError(
+            "Queue logging has already been initialized for this process"
+        )
+
+    logger_handlers: LoggerHandlerMap = {}
+
+    # Set up logging for all loggers
+    for logger_name in list(logging.root.manager.loggerDict.keys()) + [""]:
+        logger = logging.getLogger(logger_name)
+        if logger.handlers:
+            # Store the original handlers
+            logger_handlers[logger_name] = logger.handlers[:]
+
+            # Remove existing handlers
+            for handler in logger.handlers[:]:
+                logger.removeHandler(handler)
+
+            # Add queue handler
+            queue_handler = LoggerAwareQueueHandler(queue, logger_name)
+            logger.addHandler(queue_handler)
+
+    _queue_logging_initialized_for_process = True
+
+    return logger_handlers
+
+
+def setup_queue_logging() -> LoggerAwareQueueListener:
+    """
+    Sets up queue-based logging for the main process.
+    Returns the queue listener which can be used to stop logging and clean up.
+    """
+    # Import Queue at function scope to avoid import order issues
+    from kolibri.utils.multiprocessing_compat import Queue
+
+    # Create queue using Kolibri's compatibility Queue
+    log_queue = Queue()
+
+    # Replace handlers and get original configurations
+    logger_handlers = _replace_handlers_with_queue(log_queue)
+
+    # Create and start listener with collected handlers
+    listener = LoggerAwareQueueListener(log_queue, logger_handlers)
+    listener.start()
+
+    return listener
+
+
+def setup_worker_logging(queue) -> None:
+    """Sets up logging in a worker to use the queue if not already configured."""
+    try:
+        _replace_handlers_with_queue(queue)
+    except QueueLoggingInitializedError:
+        pass
+
+
+def cleanup_queue_logging(listener: Optional[LoggerAwareQueueListener]) -> None:
+    """
+    Stops the queue listener and cleans up multiprocessing resources if needed.
+    """
+    if not listener:
+        return
+
+    # Stop the listener to ensure pending logs are processed
+    listener.stop()
+
+    # Clean up queue if it's a multiprocessing queue
+    from kolibri.utils.multiprocessing_compat import use_multiprocessing
+
+    if use_multiprocessing():
+        try:
+            listener.queue.close()
+            listener.queue.join_thread()
+        except (ValueError, AttributeError):
+            pass

kolibri/utils/multiprocessing_compat.py

@@ -1,6 +1,7 @@
 import multiprocessing
 import threading
 from concurrent import futures
+from queue import Queue as ThreadingQueue
 
 from kolibri.utils.conf import OPTIONS
 
@@ -29,6 +30,12 @@ def Event(*args, **kwargs):
     return threading.Event(*args, **kwargs)
 
 
+def Queue(*args, **kwargs):
+    if use_multiprocessing():
+        return multiprocessing.Queue(*args, **kwargs)
+    return ThreadingQueue(*args, **kwargs)
+
+
 class _Local(object):
     """
     Dummy class to use for a local object for multiprocessing

kolibri/utils/server.py

@@ -32,6 +32,8 @@
 from .system import pid_exists
 from kolibri.utils import conf
 from kolibri.utils.android import on_android
+from kolibri.utils.logger import cleanup_queue_logging
+from kolibri.utils.logger import setup_queue_logging
 
 try:
     FileNotFoundError
@@ -274,7 +276,9 @@ def START(self):
         from kolibri.core.tasks.main import initialize_workers
 
         # Initialize the iceqube engine to handle queued tasks
-        self.worker = initialize_workers()
+        # Add a loose coupling between our LogPlugin and the ServicesPlugin
+        # by getting any log_queue that might be present on the bus
+        self.worker = initialize_workers(log_queue=getattr(self.bus, "log_queue", None))
 
     def STOP(self):
         if self.worker is not None:
@@ -534,9 +538,24 @@ def ENTER(self):
 
 
 class LogPlugin(SimplePlugin):
+    def ENTER(self):
+        # Do this setup during INITIAL, so we wait
+        # until after any WSGI application has been
+        # imported, as that will trigger Django setup
+        # which will reinitialize logging, and override
+        # what we are doing here.
+        self.queue_listener = setup_queue_logging()
+        self.bus.log_queue = self.queue_listener.queue
+
     def log(self, msg, level):
         logger.log(level, msg)
 
+    def EXITED(self):
+        cleanup_queue_logging(self.queue_listener)
+
+    # Set this to priority 100 so that it gets executed after any other EXITED handlers.
+    EXITED.priority = 100
+
 
 class SignalHandler(BaseSignalHandler):
     def __init__(self, bus):