Return to Flask

Dockerfile

@@ -36,5 +36,5 @@ EXPOSE 5000
 HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
     CMD python -c "import requests; requests.get('http://localhost:5000/health', timeout=2)" || exit 1
 
-# Run the application with Gunicorn using gevent workers for SocketIO compatibility
+# Run the application with Flask's built-in server
-CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "4", "--worker-class", "gevent", "--worker-connections", "1000", "--timeout", "30", "wsgi:app"]
+CMD ["python", "run.py"]

docker-compose.yml

@@ -1,9 +1,8 @@
 services:
   markov-economics:
     build: .
-    # Remove direct port mapping since Caddy will handle external access
+    ports:
-    # ports:
+      - "5000:5000"
-    #   - "5000:5000"
     environment:
       - FLASK_ENV=production
       - FLASK_APP=run.py

run.py

@@ -15,11 +15,5 @@ if __name__ == '__main__':
     debug_mode = config_name == 'development'
     port = int(os.getenv('PORT', 5000))  # Use PORT env var or default to 5000
     
-    # For production deployment with Gunicorn, SocketIO will be handled by Gunicorn
+    # Run with SocketIO's built-in server for both development and production
-    # For development, we use SocketIO's built-in server
+    socketio.run(app, debug=debug_mode, host='0.0.0.0', port=port, allow_unsafe_werkzeug=True)
-    if config_name == 'production':
-        # In production, Gunicorn will handle the server
-        # This is just a fallback
-        socketio.run(app, debug=False, host='0.0.0.0', port=port, allow_unsafe_werkzeug=True)
-    else:
-        socketio.run(app, debug=debug_mode, host='0.0.0.0', port=port)