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
13 lines
432 B
Python
13 lines
432 B
Python
"""服务模块"""
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from .api_client import api_client, BazhuayuClient
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from .kafka_service import kafka_service, KafkaService
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from .progress_store import progress_store, ProgressStore
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from .crawler import crawler_manager, CrawlerManager, TaskCrawler
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__all__ = [
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"api_client", "BazhuayuClient",
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"kafka_service", "KafkaService",
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"progress_store", "ProgressStore",
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"crawler_manager", "CrawlerManager", "TaskCrawler"
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]
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