32 lines
1.4 KiB
Docker
32 lines
1.4 KiB
Docker
FROM condaforge/miniforge3:latest
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WORKDIR /app
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ENV PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple \
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PIP_TRUSTED_HOST=pypi.tuna.tsinghua.edu.cn \
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UV_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
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# 安装 Python 3.12 和 pymetis (通过 conda-forge 避免编译问题)
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RUN mamba install -y python=3.12 pymetis && \
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mamba clean -afy
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COPY requirements.txt .
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RUN pip install --no-cache-dir uv
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RUN uv pip install --system --no-cache-dir -r requirements.txt
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# 将代码放入子目录 'app'，将数据放入子目录 'db_inp'
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# 这样临时文件默认会生成在 /app 下，而代码在 /app/app 下，实现了分离
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COPY app ./app
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RUN python -c "from pathlib import Path; from zipfile import ZipFile; model_dir = Path('app/algorithms/health/model'); zip_path = model_dir / 'my_survival_forest_model_quxi.zip'; joblib_name = 'my_survival_forest_model_quxi.joblib'; joblib_path = model_dir / joblib_name; assert zip_path.exists(), f'Model archive not found: {zip_path}'; archive = ZipFile(zip_path); archive.extract(joblib_name, model_dir); archive.close(); assert joblib_path.exists(), f'Model file not extracted: {joblib_path}'" && \
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rm -f app/algorithms/health/model/my_survival_forest_model_quxi.zip
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# COPY db_inp ./db_inp
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COPY .env .
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RUN mkdir -p db_inp temp data inp
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# 设置 PYTHONPATH 以便 uvicorn 找到 app 模块
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ENV PYTHONPATH=/app
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EXPOSE 8000
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "4"]
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