diff --git a/src/main/python/cn/yinlihupo/ylhp_hr_2_0/service/crawler/boss_crawler.py b/src/main/python/cn/yinlihupo/ylhp_hr_2_0/service/crawler/boss_crawler.py
index f9f8c42..52ab225 100644
--- a/src/main/python/cn/yinlihupo/ylhp_hr_2_0/service/crawler/boss_crawler.py
+++ b/src/main/python/cn/yinlihupo/ylhp_hr_2_0/service/crawler/boss_crawler.py
@@ -138,13 +138,6 @@ class BossCrawler(BaseCrawler):
         # 获取 geekCard（Boss SDK 的数据通常在 geekCard 中）
         geek_card = getattr(geek_data, 'geekCard', None) or geek_data
         
-        # 调试：打印 geek_data 和 geek_card 的所有属性
-        print(f"[DEBUG] geek_data type: {type(geek_data)}")
-        print(f"[DEBUG] geek_data attrs: {dir(geek_data) if hasattr(geek_data, '__dict__') else 'no __dict__'}")
-        if geek_card is not geek_data:
-            print(f"[DEBUG] geek_card type: {type(geek_card)}")
-            print(f"[DEBUG] geek_card attrs: {dir(geek_card) if hasattr(geek_card, '__dict__') else 'no __dict__'}")
-        
         # 从 SDK 返回的数据中提取候选人信息
         source_id = (getattr(geek_data, 'geekId', '') or 
                     getattr(geek_data, 'encryptGeekId', '') or
@@ -155,8 +148,6 @@ class BossCrawler(BaseCrawler):
         name = (getattr(geek_card, 'geekName', '') or 
                 getattr(geek_data, 'geekName', ''))
         
-        print(f"[DEBUG] Parsed name: '{name}', source_id: '{source_id}'")
-        
         # 解析薪资期望（Boss SDK 使用 salary 或 lowSalary/highSalary）
         salary_str = (getattr(geek_card, 'salary', '') or 
                      getattr(geek_data, 'salary', ''))
diff --git a/src/main/python/cn/yinlihupo/ylhp_hr_2_0/service/ingestion/unified_ingestion_service.py b/src/main/python/cn/yinlihupo/ylhp_hr_2_0/service/ingestion/unified_ingestion_service.py
index 3770a3a..6462e54 100644
--- a/src/main/python/cn/yinlihupo/ylhp_hr_2_0/service/ingestion/unified_ingestion_service.py
+++ b/src/main/python/cn/yinlihupo/ylhp_hr_2_0/service/ingestion/unified_ingestion_service.py
@@ -137,12 +137,6 @@ class UnifiedIngestionService:
             # 2. 数据验证
             validation_result = self._validate(normalized)
             if not validation_result.is_valid:
-                # 打印原始数据和标准化数据，方便排查
-                print(f"[数据验证失败] 错误: {validation_result.error_messages}")
-                print(f"[数据验证失败] 原始数据: {raw_data}")
-                print(f"[数据验证失败] 标准化后候选人: name={normalized.candidate.name}, "
-                      f"source={normalized.candidate.source}, source_id={normalized.candidate.source_id}")
-                print(f"[数据验证失败] 标准化后简历: raw_content长度={len(normalized.resume.raw_content) if normalized.resume.raw_content else 0}")
                 return IngestionResult.failed_result(
                     errors=validation_result.error_messages,
                     message="数据验证失败"