feat: 이벤트 로깅 시스템 추가 및 주요 컴포넌트 로깅 통합

AI_Web_Scraper/ai_agent.py

@@ -9,6 +9,7 @@ from langchain.tools import Tool
 from langchain.memory import ConversationBufferMemory
 from web_scraper import WebScraper
 from google_drive_uploader import GoogleDriveUploader, SimpleDriveSaver
+from event_logger import get_logger, LangChainEventsHandler
 
 class AIAgent:
     def __init__(self, config_path='./config.json'):
@@ -85,6 +86,9 @@ class AIAgent:
             memory=self.memory,
             verbose=True
         )
+        # 콜백 핸들러 구성 (이벤트 로깅)
+        logger = get_logger()
+        self.callback_handler = LangChainEventsHandler(logger) if logger else None
 
     def load_model(self):
         """
@@ -349,9 +353,15 @@ class AIAgent:
         주제별로 웹 검색 → 스크래핑 → 요약 → 저장까지 수행
         반환: [{ topic, response }]
         """
+        from event_logger import get_logger
+        logger = get_logger()
         results = []
         for topic in topics:
+            if logger:
+                logger.log_event("topic_start", topic=topic)
             urls = self._search_urls(topic, k=5)
+            if logger:
+                logger.log_event("search_done", topic=topic, url_count=len(urls))
             collected = []
             for u in urls[:5]:
                 data = self.web_scraper.scrape_website(u)
@@ -372,11 +382,18 @@ class AIAgent:
                 자료:
                 {snippet}
                 """
-                summary = self.llm(prompt)
+                # LangChain 0.1+: __call__ deprecated → use invoke
+                if logger:
+                    logger.log_event("llm_summary_start", topic=topic)
+                summary = self.llm.invoke(prompt)
+                if logger:
+                    logger.log_event("llm_summary_end", topic=topic)
             except Exception as e:
                 summary = f"요약 실패: {e}"
 
             results.append({"topic": topic, "response": summary})
+            if logger:
+                logger.log_event("topic_done", topic=topic)
 
         return results
 
@@ -432,7 +449,10 @@ class AIAgent:
         AI 에이전트를 실행합니다.
         """
         try:
-            response = self.agent.run(task_description)
+            if self.callback_handler:
+                response = self.agent.run(task_description, callbacks=[self.callback_handler])
+            else:
+                response = self.agent.run(task_description)
             return response
         except Exception as e:
             print(f"에이전트 실행 실패: {e}")
@@ -459,7 +479,14 @@ class AIAgent:
         """
 
         try:
-            response = self.llm(prompt)
+            # LangChain 0.1+: __call__ deprecated → use invoke
+            from event_logger import get_logger
+            logger = get_logger()
+            if logger:
+                logger.log_event("llm_topics_start", count=num_topics)
+            response = self.llm.invoke(prompt)
+            if logger:
+                logger.log_event("llm_topics_end", count=num_topics)
             # 응답에서 주제들을 추출 (줄 단위로 분리)
             topics = [line.strip() for line in response.split('\n') if line.strip() and not line.startswith(('1.', '2.', '3.', '-'))]
             # 최대 num_topics개 반환