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/app/core/config.py

@@ -37,6 +37,8 @@ class CrawlerConfig(BaseModel):
     interval: int = 300
     filter_days: int = 7
     max_workers: int = 5
+    max_expired_batches: int = 3  # 连续过期批次阈值
+    auto_start: bool = True       # 容器启动时自动开始采集
 
 
 class DatabaseConfig(BaseModel):