feat(job_crawler): implement reverse-order incremental crawling with real-time Kafka publishing

- Add comprehensive sequence diagrams documenting container startup, task initialization, and incremental crawling flow
- Implement reverse-order crawling logic (from latest to oldest) to optimize performance by processing new data first
- Add real-time Kafka message publishing after each batch filtering instead of waiting for task completion
- Update progress tracking to store last_start_offset for accurate incremental crawling across sessions
- Enhance crawler service with improved offset calculation and batch processing logic
- Update configuration files to support new crawling parameters and Kafka integration
- Add progress model enhancements to track crawling state and handle edge cases
- Improve main application initialization to properly handle lifespan events and task auto-start
This change enables efficient incremental data collection where new data is prioritized and published immediately, reducing latency and improving system responsiveness.

job_crawler/config/config.yml.docker

@@ -33,6 +33,8 @@ crawler:
   interval: 300
   filter_days: 7
   max_workers: 5
+  max_expired_batches: 3 # 连续过期批次阈值（首次采集时生效）
+  auto_start: true       # 容器启动时自动开始采集
 
 # 数据库配置
 database: