BBIT-Kai
43 lines
1.4 KiB
Docker
43 lines
1.4 KiB
Docker
# 使用官方 Python 镜像
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FROM python:3.10-slim
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WORKDIR /app
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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libpq5 \
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unixodbc \
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curl \
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gnupg \
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apt-transport-https \
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lsb-release && \
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# 导入微软 GPG key（使用 keyrings 方式）
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curl https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > /usr/share/keyrings/microsoft.gpg && \
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echo "deb [arch=amd64 signed-by=/usr/share/keyrings/microsoft.gpg] https://packages.microsoft.com/ubuntu/22.04/prod jammy main" > /etc/apt/sources.list.d/mssql-release.list && \
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apt-get update && \
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ACCEPT_EULA=Y apt-get install -y msodbcsql18 && \
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rm -rf /var/lib/apt/lists/*
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COPY docker/requirements.txt .
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# 安装 Python 依赖
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RUN pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt
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# 复制并解压 JRE
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COPY docker/OpenJDK17U-jre_x64_linux_hotspot_17.0.16_8.tar.gz /opt/
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RUN tar -xzf /opt/OpenJDK17U-jre_x64_linux_hotspot_17.0.16_8.tar.gz -C /opt/ && \
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rm /opt/OpenJDK17U-jre_x64_linux_hotspot_17.0.16_8.tar.gz
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# 配置 Java 环境
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ENV JAVA_HOME=/opt/jdk-17.0.16+8-jre
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ENV PATH="$JAVA_HOME/bin:$PATH"
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# 复制项目代码
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COPY app/ .
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EXPOSE 13011
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# 启动命令（使用 uvicorn 启动 FastAPI）
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "13011", "--workers", "4"]
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