2025-10-30 11:14:43 +08:00
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# 多阶段构建 Dockerfile for AI Story Creator
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# 阶段1: 构建前端
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FROM node:22-alpine AS frontend-builder
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WORKDIR /frontend
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# 复制前端依赖文件
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COPY frontend/package*.json ./
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# 使用国内npm镜像加速
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RUN npm config set registry https://registry.npmmirror.com
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2026-01-20 09:26:48 +08:00
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# 删除 package-lock.json 以SC避免因镜像源不一致导致的 404 错误
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RUN rm -f package-lock.json
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2025-10-30 11:14:43 +08:00
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# 安装依赖
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RUN npm install
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# 复制前端源代码
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COPY frontend/ ./
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# 临时修改vite配置，使其输出到dist目录（而不是../backend/static）
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RUN sed -i "s|outDir: '../backend/static'|outDir: 'dist'|g" vite.config.ts
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# 构建前端
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RUN npm run build
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# 阶段2: 构建最终镜像
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FROM python:3.11-slim
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# 设置工作目录
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WORKDIR /app
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# 使用国内镜像源加速
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RUN sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/debian.sources \
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&& sed -i 's/security.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/debian.sources
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2025-12-26 15:05:48 +08:00
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# 安装系统依赖（添加数据库工具）
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2025-10-30 11:14:43 +08:00
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RUN apt-get update && apt-get install -y \
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gcc \
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2025-12-26 15:05:48 +08:00
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postgresql-client \
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netcat-traditional \
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2025-10-30 11:14:43 +08:00
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&& rm -rf /var/lib/apt/lists/*
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# 复制后端依赖文件
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COPY backend/requirements.txt ./
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2025-11-04 17:27:39 +08:00
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# 先从PyTorch官方源安装CPU版本的torch（避免GPU依赖）
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RUN pip install --no-cache-dir torch==2.7.0 --index-url https://download.pytorch.org/whl/cpu
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# 再安装其他Python依赖（使用阿里云镜像加速）
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2025-10-30 11:14:43 +08:00
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RUN pip install --no-cache-dir -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
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2025-11-29 22:06:06 +08:00
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# 复制后端代码（包含embedding模型）
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2025-10-30 11:14:43 +08:00
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COPY backend/ ./
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# 从前端构建阶段复制构建好的静态文件
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COPY --from=frontend-builder /frontend/dist ./static
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2025-12-26 15:05:48 +08:00
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# 复制 Alembic 迁移配置和脚本（PostgreSQL）
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COPY backend/alembic-postgres.ini ./alembic.ini
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COPY backend/alembic/postgres ./alembic
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COPY backend/scripts/entrypoint.sh /app/entrypoint.sh
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COPY backend/scripts/migrate.py ./scripts/migrate.py
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# 赋予执行权限
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RUN chmod +x /app/entrypoint.sh
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2025-10-30 11:14:43 +08:00
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# 创建必要的目录
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2025-11-29 22:06:06 +08:00
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RUN mkdir -p /app/data /app/logs
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2025-11-04 17:27:39 +08:00
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2025-10-30 11:14:43 +08:00
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# 暴露端口
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EXPOSE 8000
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# 设置环境变量
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ENV PYTHONUNBUFFERED=1
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ENV APP_HOST=0.0.0.0
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ENV APP_PORT=8000
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2025-11-04 17:27:39 +08:00
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# 设置Transformers和Sentence-Transformers离线模式
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ENV TRANSFORMERS_OFFLINE=1
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ENV HF_DATASETS_OFFLINE=1
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ENV HF_HUB_OFFLINE=1
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2025-11-04 20:46:53 +08:00
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ENV SENTENCE_TRANSFORMERS_HOME=/app/embedding
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2025-11-04 17:27:39 +08:00
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2025-10-30 11:14:43 +08:00
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')" || exit 1
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2025-12-26 15:05:48 +08:00
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# 使用 entrypoint 脚本启动（自动执行迁移）
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ENTRYPOINT ["/app/entrypoint.sh"]
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