adding the docker file

docker.compose.prod.yml

@@ -0,0 +1,60 @@
+services:
+  # --- Application Services ---
+  redis:
+    image: redis:7-alpine
+    # In production, you wouldn't typically expose the Redis port to the public internet.
+    # The other containers can still talk to it over the internal Docker network.
+    # ports:
+    #   - "6379:6379"
+    restart: always
+
+  backend:
+    build:
+      context: .
+      dockerfile: ./backend/Dockerfile
+    ports:
+      # We expose port 8000 for external traffic
+      - "8000:8000"
+    # VOLUMES REMOVED: The code is now baked into the image. No hot-reloading needed.
+    # volumes:
+    #   - ./backend:/code/app
+    env_file:
+      - .env
+    # COMMAND CHANGED: We use a production-grade server like Gunicorn instead of Uvicorn's dev server.
+    # The '--reload' flag is removed.
+    command: python -m gunicorn -w 4 -k uvicorn.workers.UvicornWorker main:app --bind 0.0.0.0:8000
+    restart: always
+    depends_on:
+      - redis
+
+  worker:
+    build:
+      context: .
+      dockerfile: ./backend/Dockerfile
+    # VOLUMES REMOVED: The worker also uses the code baked into the image.
+    # volumes:
+    #   - ./backend:/code/app
+    env_file:
+      - .env
+    command: python -m celery -A celery_worker.celery worker --loglevel=info
+    restart: always
+    depends_on:
+      - redis
+      - backend
+
+  frontend:
+    build:
+      context: .
+      # We would use a multi-stage Dockerfile that builds the static files
+      # and serves them with a production server like Nginx.
+      dockerfile: ./frontend/Dockerfile.prod
+    ports:
+      # The production frontend is served on the standard HTTP port 80.
+      - "80:80"
+    # VOLUMES REMOVED: The static files are baked into the image.
+    # volumes:
+    #   - ./frontend:/app
+    #   - /app/node_modules
+    restart: always
+    depends_on:
+      - backend