134 lines
2.5 KiB
YAML
134 lines
2.5 KiB
YAML
services:
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db:
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image: mysql:8
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restart: always
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env_file:
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- ./docker/.env.prod
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- ./docker/.env.local
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environment:
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TZ: Asia/Shanghai
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ports:
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- "33306:3306"
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volumes:
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- ./sql/django_vue.sql:/docker-entrypoint-initdb.d/django_vue.sql
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- ./data/mysql_prod:/var/lib/mysql # <-- 加这一行
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networks:
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- app_net
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redis:
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image: redis:7
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restart: always
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ports:
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- "36379:6379"
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networks:
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- app_net
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env_file:
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- ./docker/.env.prod
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- ./docker/.env.local
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backend:
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build:
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context: ./backend
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dockerfile: Dockerfile
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target: prod
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command: gunicorn backend.wsgi:application --bind 0.0.0.0:8000
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env_file:
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- ./docker/.env.prod
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- ./docker/.env.local
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depends_on:
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- db
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- redis
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volumes:
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- static_data:/app/static
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- media_data:/app/media
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ports:
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- "38000:8000"
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networks:
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- app_net
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celery_worker:
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build:
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context: ./backend
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dockerfile: Dockerfile
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command: celery -A backend worker -l info
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env_file:
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- ./docker/.env.prod
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- ./docker/.env.local
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depends_on:
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- backend
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- redis
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networks:
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- app_net
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celery_beat:
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build:
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context: ./backend
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dockerfile: Dockerfile
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command: celery -A backend beat -l info
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env_file:
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- ./docker/.env.prod
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- ./docker/.env.local
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depends_on:
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- backend
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- redis
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networks:
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- app_net
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flower:
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build:
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context: ./backend
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dockerfile: Dockerfile
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command: celery -A backend flower --port=5555
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env_file:
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- ./docker/.env.prod
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- ./docker/.env.local
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depends_on:
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- backend
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- redis
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ports:
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- "35555:5555"
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networks:
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- app_net
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ai_service:
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build:
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context: ./ai_service
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dockerfile: Dockerfile # 复用 backend 的 Dockerfile
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target: prod
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volumes:
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- ./ai_service:/app
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ports:
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- "38010:8010"
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depends_on:
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- db
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- redis
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networks:
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- app_net
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env_file:
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- ./docker/.env.prod
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- ./docker/.env.local
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frontend:
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build:
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context: ./web
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dockerfile: Dockerfile
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target: prod
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depends_on:
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- backend
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- ai_service
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ports:
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- "35678:80"
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networks:
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- app_net
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env_file:
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- ./docker/.env.prod
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- ./docker/.env.local
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volumes:
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db_data:
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static_data:
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media_data:
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networks:
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app_net:
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driver: bridge |