更新canvas 3d接口 ,使用异步mq队列处理

docker-compose.yml

@@ -1,4 +1,5 @@
 name: fida-python-prod
+
 services:
   server:
     container_name: "FiDA_${SERVE_ENV}_Server"
@@ -11,4 +12,56 @@ services:
       - ./.env:/app/.env
       - /etc/localtime:/etc/localtime:ro
     ports:
-      - "${SERVE_PORT}:80"
+      - "${SERVE_PORT}:80"
+    environment:
+      - SERVE_ENV=${SERVE_ENV}
+    restart: unless-stopped
+
+  # ==================== Worker 1: img_to_3d（重资源，建议只跑1个） ====================
+  img_worker:
+    container_name: "FiDA_${SERVE_ENV}_ImgWorker"
+    build:
+      context: .
+      dockerfile: Dockerfile
+    working_dir: /app
+    command: >
+      celery -A src.server.canvas_generate_3D.celery_app worker
+      -n img_worker@%h
+      -Q img_to_3d_queue
+      --concurrency=1
+      --prefetch-multiplier=1
+      --max-tasks-per-child=1
+      --loglevel=INFO
+    volumes:
+      - ./:/app
+      - ./.env:/app/.env
+      - /etc/localtime:/etc/localtime:ro
+    environment:
+      - SERVE_ENV=${SERVE_ENV}
+    depends_on:
+      - server          # 可选：等 server 启动后再启动 worker
+    restart: unless-stopped
+
+  # ==================== Worker 2: 3d_to_3views ====================
+  views_worker:
+    container_name: "FiDA_${SERVE_ENV}_ViewsWorker"
+    build:
+      context: .
+      dockerfile: Dockerfile
+    working_dir: /app
+    command: >
+      celery -A src.server.canvas_generate_3D.celery_app worker
+      -n views_worker@%h
+      -Q 3d_to_3views_queue
+      --concurrency=2
+      --prefetch-multiplier=1
+      --loglevel=INFO
+    volumes:
+      - ./:/app
+      - ./.env:/app/.env
+      - /etc/localtime:/etc/localtime:ro
+    environment:
+      - SERVE_ENV=${SERVE_ENV}
+    depends_on:
+      - server
+    restart: unless-stopped