changedetection.io/changedetectionio/worker_handler.py

395 wiersze
13 KiB
Python
Czysty Zwykły widok Historia

"""
Worker management module for changedetection.io
Handles asynchronous workers for dynamic worker scaling.
Sync worker support has been removed in favor of async-only architecture.
"""
import asyncio
import os
import threading
import time
from loguru import logger
# Global worker state
running_async_tasks = []
async_loop = None
async_loop_thread = None
# Track currently processing UUIDs for async workers
currently_processing_uuids = set()
# Configuration - async workers only
USE_ASYNC_WORKERS = True
def start_async_event_loop():
"""Start a dedicated event loop for async workers in a separate thread"""
global async_loop
logger.info("Starting async event loop for workers")
try:
# Create a new event loop for this thread
async_loop = asyncio.new_event_loop()
# Set it as the event loop for this thread
asyncio.set_event_loop(async_loop)
logger.debug(f"Event loop created and set: {async_loop}")
# Run the event loop forever
async_loop.run_forever()
except Exception as e:
logger.error(f"Async event loop error: {e}")
finally:
# Clean up
if async_loop and not async_loop.is_closed():
async_loop.close()
async_loop = None
logger.info("Async event loop stopped")
def start_async_workers(n_workers, update_q, notification_q, app, datastore):
"""Start the async worker management system"""
global async_loop_thread, async_loop, running_async_tasks, currently_processing_uuids
# Clear any stale UUID tracking state
currently_processing_uuids.clear()
# Start the event loop in a separate thread
async_loop_thread = threading.Thread(target=start_async_event_loop, daemon=True)
async_loop_thread.start()
# Wait for the loop to be available (with timeout for safety)
max_wait_time = 5.0
wait_start = time.time()
while async_loop is None and (time.time() - wait_start) < max_wait_time:
time.sleep(0.1)
if async_loop is None:
logger.error("Failed to start async event loop within timeout")
return
# Additional brief wait to ensure loop is running
time.sleep(0.2)
# Start async workers
logger.info(f"Starting {n_workers} async workers")
for i in range(n_workers):
try:
# Use a factory function to create named worker coroutines
def create_named_worker(worker_id):
async def named_worker():
task = asyncio.current_task()
if task:
task.set_name(f"async-worker-{worker_id}")
return await start_single_async_worker(worker_id, update_q, notification_q, app, datastore)
return named_worker()
task_future = asyncio.run_coroutine_threadsafe(create_named_worker(i), async_loop)
running_async_tasks.append(task_future)
except RuntimeError as e:
logger.error(f"Failed to start async worker {i}: {e}")
continue
async def start_single_async_worker(worker_id, update_q, notification_q, app, datastore):
"""Start a single async worker with auto-restart capability"""
from changedetectionio.async_update_worker import async_update_worker
# Check if we're in pytest environment - if so, be more gentle with logging
import os
in_pytest = "pytest" in os.sys.modules or "PYTEST_CURRENT_TEST" in os.environ
while not app.config.exit.is_set():
try:
if not in_pytest:
logger.info(f"Starting async worker {worker_id}")
await async_update_worker(worker_id, update_q, notification_q, app, datastore)
# If we reach here, worker exited cleanly
if not in_pytest:
logger.info(f"Async worker {worker_id} exited cleanly")
break
except asyncio.CancelledError:
# Task was cancelled (normal shutdown)
if not in_pytest:
logger.info(f"Async worker {worker_id} cancelled")
break
except Exception as e:
logger.error(f"Async worker {worker_id} crashed: {e}")
if not in_pytest:
logger.info(f"Restarting async worker {worker_id} in 5 seconds...")
await asyncio.sleep(5)
if not in_pytest:
logger.info(f"Async worker {worker_id} shutdown complete")
def start_workers(n_workers, update_q, notification_q, app, datastore):
"""Start async workers - sync workers are deprecated"""
start_async_workers(n_workers, update_q, notification_q, app, datastore)
def add_worker(update_q, notification_q, app, datastore):
"""Add a new async worker (for dynamic scaling)"""
global running_async_tasks
if not async_loop:
logger.error("Async loop not running, cannot add worker")
return False
worker_id = len(running_async_tasks)
logger.info(f"Adding async worker {worker_id}")
task_future = asyncio.run_coroutine_threadsafe(
start_single_async_worker(worker_id, update_q, notification_q, app, datastore), async_loop
)
running_async_tasks.append(task_future)
return True
def remove_worker():
"""Remove an async worker (for dynamic scaling)"""
global running_async_tasks
if not running_async_tasks:
return False
# Cancel the last worker
task_future = running_async_tasks.pop()
task_future.cancel()
logger.info(f"Removed async worker, {len(running_async_tasks)} workers remaining")
return True
def get_worker_count():
"""Get current number of async workers"""
return len(running_async_tasks)
def get_running_uuids():
"""Get list of UUIDs currently being processed by async workers"""
return list(currently_processing_uuids)
def set_uuid_processing(uuid, processing=True):
"""Mark a UUID as being processed or completed"""
global currently_processing_uuids
if processing:
currently_processing_uuids.add(uuid)
logger.debug(f"Started processing UUID: {uuid}")
else:
currently_processing_uuids.discard(uuid)
logger.debug(f"Finished processing UUID: {uuid}")
def is_watch_running(watch_uuid):
"""Check if a specific watch is currently being processed"""
return watch_uuid in get_running_uuids()
def queue_item_async_safe(update_q, item):
"""Queue an item for async queue processing"""
if async_loop and not async_loop.is_closed():
try:
# For async queue, schedule the put operation
asyncio.run_coroutine_threadsafe(update_q.put(item), async_loop)
except RuntimeError as e:
logger.error(f"Failed to queue item: {e}")
else:
logger.error("Async loop not available or closed for queueing item")
def shutdown_workers():
"""Shutdown all async workers fast and aggressively"""
global async_loop, async_loop_thread, running_async_tasks
# Check if we're in pytest environment - if so, be more gentle with logging
import os
in_pytest = "pytest" in os.sys.modules or "PYTEST_CURRENT_TEST" in os.environ
if not in_pytest:
logger.info("Fast shutdown of async workers initiated...")
# Cancel all async tasks immediately
for task_future in running_async_tasks:
if not task_future.done():
task_future.cancel()
# Stop the async event loop immediately
if async_loop and not async_loop.is_closed():
try:
async_loop.call_soon_threadsafe(async_loop.stop)
except RuntimeError:
# Loop might already be stopped
pass
running_async_tasks.clear()
async_loop = None
# Give async thread minimal time to finish, then continue
if async_loop_thread and async_loop_thread.is_alive():
async_loop_thread.join(timeout=1.0) # Only 1 second timeout
if async_loop_thread.is_alive() and not in_pytest:
logger.info("Async thread still running after timeout - continuing with shutdown")
async_loop_thread = None
if not in_pytest:
logger.info("Async workers fast shutdown complete")
def adjust_async_worker_count(new_count, update_q=None, notification_q=None, app=None, datastore=None):
"""
Dynamically adjust the number of async workers.
Args:
new_count: Target number of workers
update_q, notification_q, app, datastore: Required for adding new workers
Returns:
dict: Status of the adjustment operation
"""
global running_async_tasks
current_count = get_worker_count()
if new_count == current_count:
return {
'status': 'no_change',
'message': f'Worker count already at {current_count}',
'current_count': current_count
}
if new_count > current_count:
# Add workers
workers_to_add = new_count - current_count
logger.info(f"Adding {workers_to_add} async workers (from {current_count} to {new_count})")
if not all([update_q, notification_q, app, datastore]):
return {
'status': 'error',
'message': 'Missing required parameters to add workers',
'current_count': current_count
}
for i in range(workers_to_add):
worker_id = len(running_async_tasks)
task_future = asyncio.run_coroutine_threadsafe(
start_single_async_worker(worker_id, update_q, notification_q, app, datastore),
async_loop
)
running_async_tasks.append(task_future)
return {
'status': 'success',
'message': f'Added {workers_to_add} workers',
'previous_count': current_count,
'current_count': new_count
}
else:
# Remove workers
workers_to_remove = current_count - new_count
logger.info(f"Removing {workers_to_remove} async workers (from {current_count} to {new_count})")
removed_count = 0
for _ in range(workers_to_remove):
if running_async_tasks:
task_future = running_async_tasks.pop()
task_future.cancel()
# Wait for the task to actually stop
try:
task_future.result(timeout=5) # 5 second timeout
except Exception:
pass # Task was cancelled, which is expected
removed_count += 1
return {
'status': 'success',
'message': f'Removed {removed_count} workers',
'previous_count': current_count,
'current_count': current_count - removed_count
}
def get_worker_status():
"""Get status information about async workers"""
return {
'worker_type': 'async',
'worker_count': get_worker_count(),
'running_uuids': get_running_uuids(),
'async_loop_running': async_loop is not None,
}
def check_worker_health(expected_count, update_q=None, notification_q=None, app=None, datastore=None):
"""
Check if the expected number of async workers are running and restart any missing ones.
Args:
expected_count: Expected number of workers
update_q, notification_q, app, datastore: Required for restarting workers
Returns:
dict: Health check results
"""
global running_async_tasks
current_count = get_worker_count()
if current_count == expected_count:
return {
'status': 'healthy',
'expected_count': expected_count,
'actual_count': current_count,
'message': f'All {expected_count} async workers running'
}
# Check for crashed async workers
dead_workers = []
alive_count = 0
for i, task_future in enumerate(running_async_tasks[:]):
if task_future.done():
try:
result = task_future.result()
dead_workers.append(i)
logger.warning(f"Async worker {i} completed unexpectedly")
except Exception as e:
dead_workers.append(i)
logger.error(f"Async worker {i} crashed: {e}")
else:
alive_count += 1
# Remove dead workers from tracking
for i in reversed(dead_workers):
if i < len(running_async_tasks):
running_async_tasks.pop(i)
missing_workers = expected_count - alive_count
restarted_count = 0
if missing_workers > 0 and all([update_q, notification_q, app, datastore]):
logger.info(f"Restarting {missing_workers} crashed async workers")
for i in range(missing_workers):
worker_id = alive_count + i
try:
task_future = asyncio.run_coroutine_threadsafe(
start_single_async_worker(worker_id, update_q, notification_q, app, datastore),
async_loop
)
running_async_tasks.append(task_future)
restarted_count += 1
except Exception as e:
logger.error(f"Failed to restart worker {worker_id}: {e}")
return {
'status': 'repaired' if restarted_count > 0 else 'degraded',
'expected_count': expected_count,
'actual_count': alive_count,
'dead_workers': len(dead_workers),
'restarted_workers': restarted_count,
'message': f'Found {len(dead_workers)} dead workers, restarted {restarted_count}'
}