60 lines
1.6 KiB
YAML
Executable File
60 lines
1.6 KiB
YAML
Executable File
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=${SERVE_ENV}
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restart: unless-stopped
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# ==================== Celery Worker（单个 Worker 同时处理两个任务） ====================
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celery_worker:
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container_name: "FiDA_${SERVE_ENV}_CeleryWorker"
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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 celery_worker@%h
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-Q img_to_3d_queue,three_d_to_3views_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=${SERVE_ENV}
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depends_on:
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- server
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restart: unless-stopped
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# ==================== 可选：RabbitMQ（如果你想把 RabbitMQ 也纳入 docker-compose 管理） ====================
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# rabbitmq:
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# image: rabbitmq:3.13-management
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# container_name: "FiDA_${SERVE_ENV}_RabbitMQ"
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# ports:
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# - "5672:5672"
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# - "15672:15672"
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# environment:
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# RABBITMQ_DEFAULT_USER: guest
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# RABBITMQ_DEFAULT_PASS: guest
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# volumes:
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# - rabbitmq_data:/var/lib/rabbitmq
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# restart: unless-stopped
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# volumes:
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# rabbitmq_data: |