jefferyhcool--bilinote
wehub-resource-sync
69 行
2.1 KiB
YAML
69 行
2.1 KiB
YAML
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services:
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backend:
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container_name: bilinote-backend
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build:
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context: .
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dockerfile: backend/Dockerfile.gpu
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args:
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# 国内拉不到 docker.io 时设置 BASE_REGISTRY；注意所选镜像需要支持 nvidia/cuda 命名空间
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BASE_REGISTRY: ${BASE_REGISTRY:-docker.io}
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APT_MIRROR: ${APT_MIRROR:-mirrors.tuna.tsinghua.edu.cn}
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PIP_INDEX: ${PIP_INDEX:-https://pypi.tuna.tsinghua.edu.cn/simple}
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env_file:
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- .env
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environment:
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- BACKEND_PORT=${BACKEND_PORT}
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- BACKEND_HOST=${BACKEND_HOST}
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volumes:
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# 同 docker-compose.yml：./backend 绑到 /app，DB / 转写器配置 / 截图 / 上传都持久化
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- ./backend:/app
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expose:
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- "${BACKEND_PORT}" # 不再对外暴露，用于 nginx 内部通信
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# 用 unless-stopped 避免短暂崩溃把容器永久打死后再也读不到 .env 修改
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:${BACKEND_PORT}/api/sys_health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 30s # GPU 镜像首次加载 CUDA 比 CPU 慢，给久一点
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# GPU 部署默认跑较大模型，把内存限制提到 8g 避免 host OOM
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mem_limit: 8g
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deploy:
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resources:
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reservations:
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devices:
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- driver: "nvidia"
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count: "all"
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capabilities: ["gpu"]
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frontend:
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container_name: bilinote-frontend
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build:
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context: .
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dockerfile: BillNote_frontend/Dockerfile
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args:
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BASE_REGISTRY: ${BASE_REGISTRY:-docker.io}
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env_file:
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- .env
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expose:
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- "80" # 不暴露给宿主机，只供 nginx 访问
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restart: unless-stopped
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mem_limit: 512m
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nginx:
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container_name: bilinote-nginx
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image: nginx:1.25-alpine
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ports:
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- "${APP_PORT}:80"
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volumes:
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- ./nginx/default.conf:/etc/nginx/conf.d/default.conf
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depends_on:
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backend:
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condition: service_healthy
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frontend:
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condition: service_started
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restart: unless-stopped
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mem_limit: 256m
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