::

APSCHEDULER_IMPLEMENTATION_SUMMARY.md

@@ -0,0 +1,88 @@
+# APScheduler Implementation Summary
+
+This document summarizes all the changes made to replace Celery with APScheduler in the Lin application.
+
+## Files Modified
+
+### 1. backend/requirements.txt
+- Removed `celery>=5.5.3` and `redis>=6.4.0`
+- Kept `apscheduler>=3.11.0`
+
+### 2. backend/app.py
+- Replaced Celery import with APSchedulerService import
+- Initialized APScheduler when the Flask app is created
+- Modified comment about task queue to mention APScheduler
+
+### 3. backend/api/schedules.py
+- Removed import of `load_schedules_task` from Celery
+- Updated `create_schedule` and `delete_schedule` functions to trigger APScheduler updates instead of Celery tasks
+- Removed references to Celery task IDs in responses
+
+### 4. start_app.py
+- Removed Redis check and Celery component initialization
+- Simplified the startup process to only start the Flask app
+- Added scheduler shutdown on KeyboardInterrupt
+
+## New Files Created
+
+### 1. backend/scheduler/__init__.py
+- Created to make the scheduler directory a Python package
+
+### 2. backend/scheduler/apscheduler_service.py
+- Implemented the APSchedulerService class
+- Added methods for loading schedules from the database
+- Implemented content generation and post publishing tasks
+- Set up periodic job to reload schedules every 5 minutes
+- Added immediate schedule loading on app startup
+
+## Documentation Files Created
+
+### 1. APSCHEDULER_SETUP.md
+- Created comprehensive documentation for the new APScheduler setup
+- Includes setup instructions, configuration details, and troubleshooting guide
+
+### 2. MIGRATION_TO_APSCHEDULER.md
+- Created a migration guide explaining the transition from Celery to APScheduler
+- Details the benefits and considerations of the migration
+
+## Files Removed
+
+- Removed `backend/celery_app.py`
+- Removed `backend/celery_config.py`
+- Removed `backend/celery_tasks/` directory and all its contents
+- Removed `backend/start_celery.py`
+- Removed `CELERY_SCHEDULING_SETUP.md`
+
+## Key Features of the New Implementation
+
+1. **Simplified Architecture**: APScheduler runs within the Flask application process
+2. **No External Dependencies**: Unlike Celery, APScheduler doesn't require Redis or RabbitMQ
+3. **Immediate Loading**: Schedules are loaded immediately when the app starts
+4. **Periodic Updates**: Schedules are automatically reloaded every 5 minutes
+5. **Easy Deployment**: Single process deployment with no additional components
+6. **Better Resource Usage**: Lower memory and CPU footprint compared to Celery
+
+## API Changes
+
+1. **Schedule Creation/Deletion**: 
+   - The API now triggers immediate APScheduler updates instead of Celery tasks
+   - Responses no longer include Celery task IDs
+   - Success messages indicate when the scheduler was updated
+
+2. **Error Handling**:
+   - Improved error handling for scheduler updates
+   - Graceful degradation if scheduler update fails (falls back to periodic updates)
+
+## Benefits
+
+1. **Easier Setup**: No need to install and configure Redis
+2. **Simpler Debugging**: All logs are in one place
+3. **Reduced Complexity**: Fewer moving parts to manage
+4. **Better Resource Usage**: Lower memory and CPU footprint
+5. **Simplified Deployment**: Single process deployment
+
+## Considerations
+
+1. **Scalability**: For high-volume applications, Celery with multiple workers might be more appropriate
+2. **Persistence**: APScheduler uses in-memory storage by default (mitigated by reloading from database)
+3. **Task Isolation**: All tasks run in the same process, so a long-running task could block others

GEMINI.md

@@ -23,6 +23,7 @@ Lin/
 │   ├── requirements.txt      # Python dependencies
 │   ├── api/                  # API endpoints
 │   ├── models/               # Data models
+│   ├── scheduler/            # APScheduler service
 │   ├── services/             # Business logic
 │   └── utils/                # Utility functions
 └── README.md                 # Project documentation
@@ -156,6 +157,13 @@ cp .env.example .env
 - `SCHEDULER_ENABLED` - Enable/disable APScheduler (True/False)
 - `PORT` - Port to run the application on (default: 5000)
 
+## Scheduler Documentation
+
+For detailed information about the APScheduler implementation, see:
+- `APSCHEDULER_SETUP.md` - Complete setup and usage guide
+- `MIGRATION_TO_APSCHEDULER.md` - Migration guide from Celery
+- `APSCHEDULER_IMPLEMENTATION_SUMMARY.md` - Technical implementation summary
+
 ## Development URLs
 
 - **Frontend**: http://localhost:3000

backend/scheduler/apscheduler_service.py

@@ -73,7 +73,10 @@ class APSchedulerService:
             replace_existing=True
         )
         
-        logger.info("APS Scheduler initialized and started")
+        # Load schedules immediately when the app starts
+        self.load_schedules()
+        
+        logger.info("APS Scheduler initialized, started, and schedules loaded")
     
     def load_schedules(self):
         """Load schedules from the database and create jobs."""

test_apscheduler.py

@@ -0,0 +1,71 @@
+"""
+Test script for APScheduler service.
+This script tests the basic functionality of the APScheduler service.
+"""
+
+import sys
+import os
+from pathlib import Path
+
+# Add the backend directory to the Python path
+backend_dir = Path(__file__).parent / "backend"
+sys.path.insert(0, str(backend_dir))
+
+def test_apscheduler_service():
+    """Test the APScheduler service."""
+    try:
+        # Import the APScheduler service
+        from scheduler.apscheduler_service import APSchedulerService
+        
+        # Create a mock app object
+        class MockApp:
+            def __init__(self):
+                self.config = {
+                    'SUPABASE_URL': 'test_url',
+                    'SUPABASE_KEY': 'test_key',
+                    'SCHEDULER_ENABLED': True
+                }
+        
+        # Create a mock Supabase client
+        class MockSupabaseClient:
+            def table(self, table_name):
+                return self
+                
+            def select(self, columns):
+                return self
+                
+            def execute(self):
+                # Return mock data
+                return type('obj', (object,), {'data': []})()
+        
+        # Initialize the scheduler service
+        app = MockApp()
+        scheduler_service = APSchedulerService()
+        
+        # Mock the Supabase client initialization
+        scheduler_service.supabase_client = MockSupabaseClient()
+        
+        # Test loading schedules
+        scheduler_service.load_schedules()
+        
+        # Check if scheduler is initialized
+        if scheduler_service.scheduler is not None:
+            print("✓ APScheduler service initialized successfully")
+            return True
+        else:
+            print("✗ APScheduler service failed to initialize")
+            return False
+            
+    except Exception as e:
+        print(f"✗ Error testing APScheduler service: {str(e)}")
+        return False
+
+if __name__ == "__main__":
+    print("Testing APScheduler service...")
+    success = test_apscheduler_service()
+    if success:
+        print("All tests passed!")
+        sys.exit(0)
+    else:
+        print("Tests failed!")
+        sys.exit(1)