mirror of
https://github.com/stardrophere/InsightRadar.git
synced 2026-06-05 23:07:51 +08:00
50 lines
1.5 KiB
Docker
50 lines
1.5 KiB
Docker
# ---------- 阶段1：前端编译（Node打包静态产物） ----------
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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，利用Docker缓存优化
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COPY frontend/package*.json ./
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RUN npm install --registry=https://registry.npmmirror.com
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# 复制前端代码，编译出静态产物
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COPY frontend/ .
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RUN npm run build
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# ---------- 阶段2：后端依赖构建（uv构建虚拟环境） ----------
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FROM python:3.11-slim AS backend-builder
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WORKDIR /backend
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# 安装uv，同步Python依赖
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COPY backend/pyproject.toml backend/uv.lock ./
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RUN --mount=type=cache,target=/root/.cache/uv \
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pip install --no-cache-dir uv && \
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uv sync --frozen --no-dev --index https://pypi.tuna.tsinghua.edu.cn/simple/
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# 复制后端代码
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COPY backend/app ./app
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COPY backend/main.py ./
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# ---------- 阶段3：最终运行镜像（仅Python+Uvicorn，托管前端静态） ----------
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FROM python:3.11-slim
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WORKDIR /app
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# 复制构建好的后端虚拟环境
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COPY --from=backend-builder /backend/.venv /app/.venv
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COPY --from=backend-builder /backend/app /app/app
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COPY --from=backend-builder /backend/main.py /app/main.py
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# 复制前端编译好的静态产物，放到后端能访问的目录
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# 这里我们把静态文件放到 /app/static 目录
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COPY --from=frontend-builder /frontend/dist /app/app/static
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# 把venv加入PATH
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ENV PATH="/app/.venv/bin:$PATH"
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# 暴露Uvicorn端口
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EXPOSE 8000
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# 直接启动Uvicorn，由Uvicorn配合后端框架托管静态文件
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CMD ["python3", "main.py"] |