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Browse files- FINAL_APSCHEDULER_MIGRATION_SUMMARY.md +60 -0
- backend/app.py +9 -2
- backend/scheduler/apscheduler_service.py +67 -49
FINAL_APSCHEDULER_MIGRATION_SUMMARY.md
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# APScheduler Migration - Implementation Complete
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## Summary
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We have successfully migrated the Lin application from Celery to APScheduler for task scheduling. This migration simplifies the architecture, reduces dependencies, and makes the application easier to deploy and maintain.
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## Key Changes
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1. **Removed Dependencies**:
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- Removed `celery` and `redis` from requirements.txt
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- Kept `apscheduler` as the scheduling library
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2. **New Scheduler Service**:
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- Created `backend/scheduler/apscheduler_service.py` with full APScheduler implementation
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- Implemented content generation and post publishing tasks
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- Added immediate schedule loading on app startup
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- Added periodic schedule reloading every 5 minutes
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3. **Updated Flask Application**:
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- Modified `backend/app.py` to initialize APScheduler
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- Added scheduler initialization when `SCHEDULER_ENABLED` is True
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4. **Updated API Endpoints**:
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- Modified `backend/api/schedules.py` to trigger APScheduler updates
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- Removed all references to Celery task IDs in responses
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5. **Simplified Startup**:
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- Updated `start_app.py` to remove Celery initialization
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- Application now starts with just Flask and APScheduler
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6. **Removed Files**:
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- Removed all Celery-related files and directories
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- Cleaned up the codebase from legacy components
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7. **Documentation**:
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- Created comprehensive documentation for the new APScheduler setup
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- Added migration guide and implementation summary
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## Benefits Achieved
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1. **Simplified Architecture**: Single process deployment with no external dependencies
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2. **Easier Setup**: No need to install and configure Redis
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3. **Reduced Complexity**: Fewer moving parts to manage
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4. **Better Resource Usage**: Lower memory and CPU footprint
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5. **Easier Debugging**: All logs in one place
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6. **Simplified Deployment**: No need for separate worker processes
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## Next Steps
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1. Test the application thoroughly to ensure all scheduling functionality works correctly
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2. Monitor logs for any issues with task execution
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3. Consider adding more comprehensive error handling and monitoring
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4. Update any remaining documentation references
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## Files to Review
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- `APSCHEDULER_SETUP.md` - Complete setup and usage guide
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- `MIGRATION_TO_APSCHEDULER.md` - Migration guide from Celery
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- `APSCHEDULER_IMPLEMENTATION_SUMMARY.md` - Technical implementation summary
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- `backend/scheduler/apscheduler_service.py` - Main scheduler implementation
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backend/app.py
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# Initialize APScheduler
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if app.config.get('SCHEDULER_ENABLED', True):
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# Register blueprints
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from backend.api.auth import auth_bp
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# Initialize APScheduler
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if app.config.get('SCHEDULER_ENABLED', True):
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try:
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from backend.scheduler.apscheduler_service import APSchedulerService
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scheduler = APSchedulerService(app)
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app.scheduler = scheduler
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app.logger.info("APScheduler initialized successfully")
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except Exception as e:
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app.logger.error(f"Failed to initialize APScheduler: {str(e)}")
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import traceback
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app.logger.error(traceback.format_exc())
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# Register blueprints
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from backend.api.auth import auth_bp
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backend/scheduler/apscheduler_service.py
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def init_app(self, app):
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"""Initialize the scheduler with the Flask app."""
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def load_schedules(self):
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"""Load schedules from the database and create jobs."""
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def init_app(self, app):
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"""Initialize the scheduler with the Flask app."""
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try:
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self.app = app
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logger.info("Initializing APScheduler...")
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# Initialize Supabase client
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logger.info("Initializing Supabase client...")
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self.supabase_client = init_supabase(
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app.config['SUPABASE_URL'],
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app.config['SUPABASE_KEY']
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)
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logger.info("Supabase client initialized")
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# Configure job stores and executors
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jobstores = {
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'default': MemoryJobStore()
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}
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executors = {
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'default': ThreadPoolExecutor(20),
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}
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job_defaults = {
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'coalesce': False,
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'max_instances': 3
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}
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# Create scheduler
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logger.info("Creating BackgroundScheduler...")
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self.scheduler = BackgroundScheduler(
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jobstores=jobstores,
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executors=executors,
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job_defaults=job_defaults,
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timezone='UTC'
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)
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logger.info("BackgroundScheduler created")
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# Add the scheduler to the app
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app.scheduler = self
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logger.info("Scheduler added to app")
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# Start the scheduler
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logger.info("Starting scheduler...")
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self.scheduler.start()
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logger.info("Scheduler started")
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# Add the periodic job to load schedules from database
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logger.info("Adding periodic job to load schedules...")
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self.scheduler.add_job(
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func=self.load_schedules,
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trigger=CronTrigger(minute='*/5'), # Every 5 minutes
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id='load_schedules',
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name='Load schedules from database',
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replace_existing=True
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)
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logger.info("Periodic job added")
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# Load schedules immediately when the app starts
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logger.info("Loading schedules immediately...")
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self.load_schedules()
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logger.info("Schedules loaded immediately")
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logger.info("APS Scheduler initialized, started, and schedules loaded")
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except Exception as e:
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logger.error(f"Error initializing APScheduler: {str(e)}")
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import traceback
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logger.error(traceback.format_exc())
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def load_schedules(self):
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"""Load schedules from the database and create jobs."""
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