From 16250cc2d94005f213fddced48a5e9c6903c62f8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=BB=A1=E8=84=B8=E5=B0=8F=E6=98=9F=E6=98=9F?=
 <liaozhen1234@163.com>
Date: Fri, 23 Jan 2026 09:11:30 +0800
Subject: [PATCH] commit;

---
 src/scripts/stock_daily_data_collector_v3.py | 30 ++++++++++++++++++++
 src/stock_tag_analysis/tag_relation_api.py   | 11 ++++++-
 2 files changed, 40 insertions(+), 1 deletion(-)

diff --git a/src/scripts/stock_daily_data_collector_v3.py b/src/scripts/stock_daily_data_collector_v3.py
index 3910ce7..6405474 100644
--- a/src/scripts/stock_daily_data_collector_v3.py
+++ b/src/scripts/stock_daily_data_collector_v3.py
@@ -801,6 +801,36 @@ def collect_stock_daily_data_v3(db_url, tushare_token, mode='daily', date=None,
     
     if mode == 'daily':
         collector.run_daily_collection(date)
+        
+        # 股票日线数据采集完成后，自动计算行业和概念板块拥挤度指标
+        print("\n" + "=" * 60)
+        print("开始计算行业和概念板块拥挤度指标...")
+        print("=" * 60)
+        try:
+            from src.valuation_analysis.industry_analysis import IndustryAnalyzer
+            
+            analyzer = IndustryAnalyzer()
+            
+            # 从数据库查询所有行业
+            industry_list = analyzer.get_industry_list()
+            industries = [item['name'] for item in industry_list]
+            print(f"从数据库获取到 {len(industries)} 个行业")
+            
+            # 从数据库查询所有概念板块
+            concept_list = analyzer.get_concept_list()
+            concepts = [item['name'] for item in concept_list]
+            print(f"从数据库获取到 {len(concepts)} 个概念板块")
+            
+            # 批量计算行业和概念板块拥挤度
+            analyzer.batch_calculate_industry_crowding(industries, concepts)
+            
+            print(f"批量计算完成：{len(industries)} 个行业和 {len(concepts)} 个概念板块的拥挤度指标")
+            print("=" * 60)
+        except Exception as e:
+            # 行业拥挤度计算失败不影响主流程，只打印警告
+            print(f"警告：计算行业拥挤度指标失败: {str(e)}")
+            import traceback
+            print(traceback.format_exc())
     elif mode == 'historical':
         collector.run_historical_collection(days)
     else:
diff --git a/src/stock_tag_analysis/tag_relation_api.py b/src/stock_tag_analysis/tag_relation_api.py
index b8ceeda..346de6e 100644
--- a/src/stock_tag_analysis/tag_relation_api.py
+++ b/src/stock_tag_analysis/tag_relation_api.py
@@ -651,7 +651,16 @@ class TagRelationAPI:
                         "message": f"从概念板块表匹配成功，关联{len(valid_stocks)}只股票",
                         "error": None
                     }
-            
+
+            return {
+                "success": False,
+                "tag_code": None,
+                "tag_type": None,
+                "source": None,
+                "stock_count": 0,
+                "message": "处理标签时发生异常"
+            }
+
             # 3. 都没匹配到，使用AI分析（异步队列处理）
             logger.info(f"在数据库表中未找到标签'{tag_name}'，开始AI分析（异步队列）")