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chore(deploy): docker 镜像源/restart 策略 + .env 修正 + 文档
- 所有 Dockerfile 加 BASE_REGISTRY build-arg,国内拉不到 docker.io 时可换 daocloud 等镜像源;compose 透传该 arg - docker-compose: restart 从 on-failure:3 改 unless-stopped(避免短暂 崩溃后永久打死);gpu compose 补齐 healthcheck/restart/mem_limit - Dockerfile.complete: supervisord 用 %(ENV_*)s 透传环境变量给 backend 子进程(之前只白名单 2 个,docker run -e 配的变量后端看不到) - .env.example: 修正 VITE_API_BASE_URL 端口(8000→8483)、 WHISPER_MODEL_SIZE medium→tiny(首次启动不被大模型下载卡住)、 补 Docker 部署说明注释 - README: 新增 Docker 部署常见问题 FAQ(镜像源/restart/数据持久化等) - CLAUDE.md: 勘误(移除不存在的 messaging/i18n/worker_registry 描述, 修正 events 路径),补 pytest/typecheck 命令 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -6,6 +6,8 @@ services:
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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: ${PIP_INDEX:-https://pypi.tuna.tsinghua.edu.cn/simple}
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env_file:
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@@ -14,9 +16,20 @@ services:
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- BACKEND_PORT=${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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@@ -30,10 +43,14 @@ services:
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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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@@ -43,5 +60,9 @@ services:
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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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- frontend
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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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