Pine
55 lines
2.0 KiB
Docker
55 lines
2.0 KiB
Docker
# ============================================================
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# opc-server —— 云超服核心服务端镜像
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# 入口：dispatcher:app（统一入口，:8090，对外）
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# 构建（在 server-core 目录内执行）：
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# docker build -t opc-server:latest .
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# ============================================================
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FROM python:3.12-slim
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# ---- 系统依赖（asyncmy/pymysql 编译 + 健康检查 curl） ----
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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git \
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build-essential \
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pkg-config \
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default-libmysqlclient-dev \
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libffi-dev \
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&& rm -rf /var/lib/apt/lists/*
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# ---- 安装 uv ----
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COPY --from=ghcr.io/astral-sh/uv:0.5 /uv /usr/local/bin/uv
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ENV UV_LINK_MODE=copy \
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UV_COMPILE_BYTECODE=1 \
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UV_PYTHON_DOWNLOADS=never \
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PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1
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WORKDIR /app
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# ============================================================
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# 依赖层（先装依赖，利用 Docker 层缓存；项目本体待代码层构建）
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# ============================================================
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COPY pyproject.toml uv.lock ./
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RUN uv sync --frozen --no-dev --no-install-project
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# ============================================================
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# 代码层（.dockerignore 已排除 .venv/.env/serverdata 运行时数据/wechatpayv3 密钥等）
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# ============================================================
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COPY . .
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RUN uv sync --frozen --no-dev
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# 数据目录（运行时卷挂载；seed/、prompts/ 模板随镜像提供）
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RUN mkdir -p serverdata/data serverdata/logs serverdata/files \
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serverdata/keys serverdata/prompts serverdata/uploads \
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serverdata/park serverdata/backup
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EXPOSE 8090
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HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \
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CMD curl -fsS http://127.0.0.1:8090/health || exit 1
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# 复用项目内启动脚本：初始化 serverdata 目录 → exec uv run uvicorn dispatcher:app
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CMD ["bash", "serverrun/start.sh"]
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