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