李顺东
ae681575b9
- Add technical documentation (技术方案.md) with system architecture and design details - Create FastAPI application structure with modular organization (api, core, models, services, utils) - Implement job data crawler service with incremental collection from third-party API - Add Kafka service integration with Docker Compose configuration for message queue - Create data models for job listings, progress tracking, and API responses - Implement REST API endpoints for data consumption (/consume, /status) and task management - Add progress persistence layer using SQLite for tracking collection offsets - Implement date filtering logic to extract data published within 7 days - Create API client service for third-party data source integration - Add configuration management with environment-based settings - Include Docker support with Dockerfile and docker-compose.yml for containerized deployment - Add logging configuration and utility functions for date parsing - Include requirements.txt with all Python dependencies and README documentation
32 lines
598 B
Docker
32 lines
598 B
Docker
FROM python:3.11-slim
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WORKDIR /app
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# 安装系统依赖
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RUN apt-get update && apt-get install -y --no-install-recommends \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# 复制依赖文件
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COPY requirements.txt .
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# 安装Python依赖
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RUN pip install --no-cache-dir -r requirements.txt
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# 复制应用代码
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COPY app/ ./app/
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# 创建目录
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RUN mkdir -p /app/data /app/config
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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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ENV CONFIG_PATH=/app/config/config.yml
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# 暴露端口
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EXPOSE 8000
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# 启动命令
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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