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
9 lines
138 B
Plaintext
9 lines
138 B
Plaintext
fastapi==0.109.0
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uvicorn==0.27.0
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httpx==0.27.0
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kafka-python==2.0.2
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apscheduler==3.10.4
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pydantic==2.5.3
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python-dotenv==1.0.0
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PyYAML==6.0.1
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