46 lines
1.4 KiB
Docker
46 lines
1.4 KiB
Docker
# 使用Python 3.12官方镜像作为基础镜像
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FROM python:3.12-slim
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# 设置工作目录
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WORKDIR /app
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# 设置环境变量
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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# 安装系统依赖
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RUN sed -i 's|http://deb.debian.org|http://mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources && \
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apt-get update && apt-get install -y \
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curl \
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wget \
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&& rm -rf /var/lib/apt/lists/*
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# 复制requirements文件并安装Python依赖
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COPY requirements.txt .
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RUN pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ -r requirements.txt
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# 复制应用代码
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COPY . .
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# 创建必要的目录
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RUN mkdir -p /app/projects
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RUN mkdir -p /app/public
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RUN mkdir -p /app/models
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RUN mkdir -p /app/queue_data
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# 安装modelscope
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RUN pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ modelscope
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# 从modelscope下载sentence-transformers模型到models目录
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RUN python -c "from modelscope import snapshot_download; model_dir = snapshot_download('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2'); import shutil; shutil.move(model_dir, '/app/models/paraphrase-multilingual-MiniLM-L12-v2')"
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# 暴露端口
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EXPOSE 8001
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8001/api/health || exit 1
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# 启动命令 - 同时运行FastAPI应用和队列消费者
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CMD ["./start_all.sh"]
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