refactor: unify event routing, orchestration, and agent context handling with consistent naming and closed-loop tracking

run_scheduler.py

@@ -12,27 +12,27 @@ from services.decision_tracker import DecisionTracker as DTService
 logger = logging.getLogger(__name__)
 decision_tracker_service = DTService()
 
-# 模擬 ICAIM 完成回撥：排程 follow_up
+# simulate ICAIM completion callback: schedule follow_up
 def on_icaim_task_complete(plan_id: int, sku: str):
-    """此函數由 ICAIM 排程觸發，調用 DecisionTracker.schedule_follow_up"""
+    """Triggered by ICAIM scheduler to schedule follow_up via DecisionTracker."""
     asyncio.create_task(decision_tracker_service.schedule_follow_up(plan_id, sku))
 
-# 排程設置（保持原有 schedule 邏輯）
+# schedule settings (keep original schedule logic)
 def run_icaim_task():
-    """模擬 ICAIM 任務執行"""
-    logger.info("[Scheduler] [ICAIM] 執行 ICAIM 分析任務...")
-    # ... 執行 ICAIM 分析 ...
+    """Simulate ICAIM task execution."""
+    logger.info("[Scheduler] [ICAIM] executing ICAIM analysis task...")
+    # ... execute ICAIM analysis ...
     plan_id = 123
     sku = "sample_sku"
-    # 任務完成後觸發 follow_up 排程
+    # after task completes, trigger follow_up schedule
     on_icaim_task_complete(plan_id, sku)
-    logger.info("[Scheduler] [ICAIM] 任務完成，已觸發 follow_up 排程")
+    logger.info("[Scheduler] [ICAIM] task completed, triggered follow_up schedule")
 
-# 保留原有排程設定
+# keep original schedule configuration
 schedule.every(6).hours.do(run_icaim_task)
-logger.info("📅 已設定：每 6 小時執行 ICAIM 分析任務")
+logger.info("📅 scheduled: ICAIM analysis task every 6 hours")
 
-# 啟動排程循環（保持原有主循環）
+# start schedule loop (keep original main loop)
 if __name__ == "__main__":
     logger.info("Scheduler started.")
     while True: