117 lines
4.4 KiB
Docker
117 lines
4.4 KiB
Docker
###############################################
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# Stage 1: Builder （构建依赖 + venv）
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###############################################
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FROM uswccr.ccs.tencentyun.com/lessie/python:3.12-slim AS builder
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1
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WORKDIR /data/webapps/lessie_sourcing_agents
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# ------------------------------------------------------------
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# 1. APT 源替换 + 安装依赖（合并为一个 RUN，最大化缓存）
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# ------------------------------------------------------------
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RUN set -eux; \
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sed -i 's@deb.debian.org@mirrors.tuna.tsinghua.edu.cn@g' /etc/apt/sources.list.d/debian.sources; \
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sed -i 's@security.debian.org@mirrors.tuna.tsinghua.edu.cn@g' /etc/apt/sources.list.d/debian.sources; \
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\
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apt-get update; \
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apt-get install -y --no-install-recommends \
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build-essential \
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ca-certificates \
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cmake \
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curl \
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git \
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libomp-dev \
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libopenblas-dev \
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ninja-build \
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pkg-config; \
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rm -rf /var/lib/apt/lists/*
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# ------------------------------------------------------------
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# 2. Pip 国内源设置（提前设置以便缓存命中）
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# ------------------------------------------------------------
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RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/ \
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&& pip config set global.trusted-host mirrors.aliyun.com
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# ------------------------------------------------------------
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# 3. 安装 uv
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# ------------------------------------------------------------
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RUN python -m pip install --no-cache-dir "uv"
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# ------------------------------------------------------------
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# 4. 拷贝依赖文件（只有这些变了才会重新跑 uv sync）
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# ------------------------------------------------------------
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COPY pyproject.toml uv.lock requirements.in requirements.txt ./
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ENV UV_PROJECT_ENVIRONMENT=/opt/venv
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# ------------------------------------------------------------
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# 5. 设置 uv 变量（放在 COPY 前面确保有效缓存）
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# ------------------------------------------------------------
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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UV_HTTP_TIMEOUT=600 \
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UV_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple \
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UV_EXTRA_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
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# ------------------------------------------------------------
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# 6. 创建 venv + 安装依赖（强烈建议使用 BuildKit 的 cache mount）
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# ------------------------------------------------------------
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RUN --mount=type=cache,target=/root/.cache \
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python -m uv venv /opt/venv && \
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python -m uv sync --frozen --no-dev --python /usr/local/bin/python --index $UV_INDEX_URL
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# ------------------------------------------------------------
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# 7. llama_index 强烈推荐写入 pyproject.toml，而不是单独安装
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# ------------------------------------------------------------
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RUN python -m uv pip install --python /opt/venv/bin/python --no-cache-dir llama_index
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###############################################
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# Stage 2: Runtime （最小化生产镜像）
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###############################################
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FROM uswccr.ccs.tencentyun.com/lessie/python:3.12-slim AS runtime
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ARG APP_PORT=8000
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ENV APP_ENV=local \
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APP_PORT=${APP_PORT}
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WORKDIR /data/webapps/lessie_sourcing_agents
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# ------------------------------------------------------------
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# 8. 拷贝 venv（仅包含已安装依赖）
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# ------------------------------------------------------------
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COPY --from=builder /opt/venv /opt/venv
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# ------------------------------------------------------------
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# 9. 仅拷贝业务代码（不会影响依赖缓存）
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# ------------------------------------------------------------
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COPY . .
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# ------------------------------------------------------------
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# 10. 设置环境变量和 PATH
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# ------------------------------------------------------------
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ENV PATH="/opt/venv/bin:${PATH}" \
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VIRTUAL_ENV="/opt/venv"
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EXPOSE ${APP_PORT}
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# ------------------------------------------------------------
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# 11. 日志目录
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# ------------------------------------------------------------
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RUN mkdir -p /data/webapps/lessie_sourcing_agents/logs
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ENV LOG_DIR=/data/webapps/lessie_sourcing_agents/logs
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VOLUME ["/data/webapps/lessie_sourcing_agents/logs"]
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# ------------------------------------------------------------
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# 12. Entrypoint
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# ------------------------------------------------------------
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COPY scripts/docker-entrypoint.sh /usr/local/bin/docker-entrypoint.sh
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RUN chmod +x /usr/local/bin/docker-entrypoint.sh
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ENTRYPOINT ["/usr/local/bin/docker-entrypoint.sh"]
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