- 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
18 lines
114 B
Plaintext
18 lines
114 B
Plaintext
__pycache__
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*.pyc
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*.pyo
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*.pyd
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.Python
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.env
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.venv
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env/
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venv/
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.git
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.gitignore
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*.md
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*.db
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data/
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.idea/
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.vscode/
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*.log
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