update ui

app.py

@@ -8644,7 +8644,8 @@ def get_stock_info(seccode):
                      ORDER BY a.ENDDATE DESC LIMIT 1
                      """)
 
-        result = engine.execute(query, seccode=seccode).fetchone()
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode).fetchone()
 
         if not result:
             return jsonify({
@@ -8667,7 +8668,8 @@ def get_stock_info(seccode):
                               ORDER BY F001D DESC LIMIT 1
                               """)
 
-        forecast_result = engine.execute(forecast_query, seccode=seccode).fetchone()
+        with engine.connect() as conn:
+            forecast_result = conn.execute(forecast_query, seccode=seccode).fetchone()
 
         data = {
             'stock_code': result.SECCODE,
@@ -8828,7 +8830,8 @@ def get_balance_sheet(seccode):
                      ORDER BY ENDDATE DESC LIMIT :limit
                      """)
 
-        result = engine.execute(query, seccode=seccode, limit=limit)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, limit=limit)
         data = []
 
         for row in result:
@@ -9018,7 +9021,8 @@ def get_income_statement(seccode):
                      ORDER BY ENDDATE DESC LIMIT :limit
                      """)
 
-        result = engine.execute(query, seccode=seccode, limit=limit)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, limit=limit)
         data = []
 
         for row in result:
@@ -9227,7 +9231,8 @@ def get_cashflow(seccode):
                      ORDER BY ENDDATE DESC LIMIT :limit
                      """)
 
-        result = engine.execute(query, seccode=seccode, limit=limit)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, limit=limit)
         data = []
 
         for row in result:
@@ -9462,7 +9467,8 @@ def get_financial_metrics(seccode):
                      ORDER BY ENDDATE DESC LIMIT :limit
                      """)
 
-        result = engine.execute(query, seccode=seccode, limit=limit)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, limit=limit)
         data = []
 
         for row in result:
@@ -9602,7 +9608,8 @@ def get_main_business(seccode):
                             ORDER BY ENDDATE DESC LIMIT :limit
                             """)
 
-        periods = engine.execute(period_query, seccode=seccode, limit=limit).fetchall()
+        with engine.connect() as conn:
+            periods = conn.execute(period_query, seccode=seccode, limit=limit).fetchall()
 
         # 产品分类数据
         product_data = []
@@ -9620,7 +9627,8 @@ def get_main_business(seccode):
                          ORDER BY F005N DESC
                          """)
 
-            result = engine.execute(query, seccode=seccode, enddate=period[0])
+            with engine.connect() as conn:
+                result = conn.execute(query, seccode=seccode, enddate=period[0])
             # Convert result to list to allow multiple iterations
             rows = list(result)
 
@@ -9669,7 +9677,8 @@ def get_main_business(seccode):
                          ORDER BY F007N DESC
                          """)
 
-            result = engine.execute(query, seccode=seccode, enddate=period[0])
+            with engine.connect() as conn:
+                result = conn.execute(query, seccode=seccode, enddate=period[0])
             # Convert result to list to allow multiple iterations
             rows = list(result)
 
@@ -9730,7 +9739,8 @@ def get_forecast(seccode):
                               ORDER BY F001D DESC, UPDATE_DATE DESC LIMIT 10
                               """)
 
-        forecast_result = engine.execute(forecast_query, seccode=seccode)
+        with engine.connect() as conn:
+            forecast_result = conn.execute(forecast_query, seccode=seccode)
         forecast_data = []
 
         for row in forecast_result:
@@ -9771,7 +9781,8 @@ def get_forecast(seccode):
                              ORDER BY F001D DESC LIMIT 8
                              """)
 
-        pretime_result = engine.execute(pretime_query, seccode=seccode)
+        with engine.connect() as conn:
+            pretime_result = conn.execute(pretime_query, seccode=seccode)
         pretime_data = []
 
         for row in pretime_result:
@@ -9870,7 +9881,8 @@ def get_industry_rank(seccode):
                      """)
 
         # 获取多个报告期的数据
-        result = engine.execute(query, seccode=seccode, limit_total=limit * 4)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, limit_total=limit * 4)
 
         # 按报告期和行业级别组织数据
         data_by_period = {}
@@ -9990,7 +10002,8 @@ def get_period_comparison(seccode):
                      ORDER BY fi.ENDDATE DESC LIMIT :periods
                      """)
 
-        result = engine.execute(query, seccode=seccode, periods=periods)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, periods=periods)
 
         data = []
         for row in result:
@@ -10114,7 +10127,8 @@ def get_trade_data(seccode):
                          LIMIT :days
                      """)
 
-        result = engine.execute(query, seccode=seccode, end_date=end_date, days=days)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, end_date=end_date, days=days)
 
         data = []
         for row in result:
@@ -10190,7 +10204,8 @@ def get_funding_data(seccode):
                      ORDER BY TRADEDATE DESC LIMIT :days
                      """)
 
-        result = engine.execute(query, seccode=seccode, days=days)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, days=days)
 
         data = []
         for row in result:
@@ -10248,7 +10263,8 @@ def get_bigdeal_data(seccode):
                      ORDER BY TRADEDATE DESC, F007N LIMIT :days
                      """)
 
-        result = engine.execute(query, seccode=seccode, days=days)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode, days=days)
 
         data = []
         for row in result:
@@ -10322,7 +10338,8 @@ def get_unusual_data(seccode):
                      ORDER BY TRADEDATE DESC, F004N LIMIT 100
                      """)
 
-        result = engine.execute(query, seccode=seccode)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode)
 
         data = []
         for row in result:
@@ -10400,7 +10417,8 @@ def get_pledge_data(seccode):
                      ORDER BY ENDDATE DESC LIMIT 12
                      """)
 
-        result = engine.execute(query, seccode=seccode)
+        with engine.connect() as conn:
+            result = conn.execute(query, seccode=seccode)
 
         data = []
         for row in result:
@@ -10457,9 +10475,12 @@ def get_market_summary(seccode):
                             ORDER BY ENDDATE DESC LIMIT 1
                             """)
 
-        trade_result = engine.execute(trade_query, seccode=seccode).fetchone()
-        funding_result = engine.execute(funding_query, seccode=seccode).fetchone()
-        pledge_result = engine.execute(pledge_query, seccode=seccode).fetchone()
+        with engine.connect() as conn:
+            trade_result = conn.execute(trade_query, seccode=seccode).fetchone()
+        with engine.connect() as conn:
+            funding_result = conn.execute(funding_query, seccode=seccode).fetchone()
+        with engine.connect() as conn:
+            pledge_result = conn.execute(pledge_query, seccode=seccode).fetchone()
 
         summary = {
             'stock_code': seccode,
@@ -10954,7 +10975,8 @@ def get_rise_analysis(seccode):
                          ORDER BY trade_date DESC LIMIT 100
                          """)
 
-        result = engine.execute(query, **params).fetchall()
+        with engine.connect() as conn:
+            result = conn.execute(query, **params).fetchall()
 
         # 格式化数据
         rise_analysis_data = []
@@ -11016,7 +11038,8 @@ def get_comprehensive_analysis(company_code):
                                  WHERE company_code = :company_code
                                  """)
 
-        qualitative_result = engine.execute(qualitative_query, company_code=company_code).fetchone()
+        with engine.connect() as conn:
+            qualitative_result = conn.execute(qualitative_query, company_code=company_code).fetchone()
 
         # 获取业务板块分析
         segments_query = text("""
@@ -11033,7 +11056,8 @@ def get_comprehensive_analysis(company_code):
                               ORDER BY created_at DESC
                               """)
 
-        segments_result = engine.execute(segments_query, company_code=company_code).fetchall()
+        with engine.connect() as conn:
+            segments_result = conn.execute(segments_query, company_code=company_code).fetchall()
 
         # 获取竞争地位数据 - 最新一期
         competitive_query = text("""
@@ -11058,7 +11082,8 @@ def get_comprehensive_analysis(company_code):
                                  ORDER BY report_period DESC LIMIT 1
                                  """)
 
-        competitive_result = engine.execute(competitive_query, company_code=company_code).fetchone()
+        with engine.connect() as conn:
+            competitive_result = conn.execute(competitive_query, company_code=company_code).fetchone()
 
         # 获取业务结构数据 - 最新一期
         business_structure_query = text("""
@@ -11085,7 +11110,8 @@ def get_comprehensive_analysis(company_code):
                                         ORDER BY revenue_ratio DESC
                                         """)
 
-        business_structure_result = engine.execute(business_structure_query, company_code=company_code).fetchall()
+        with engine.connect() as conn:
+            business_structure_result = conn.execute(business_structure_query, company_code=company_code).fetchall()
 
         # 构建返回数据
         response_data = {
@@ -11222,7 +11248,8 @@ def get_value_chain_analysis(company_code):
                            ORDER BY node_level ASC, importance_score DESC
                            """)
 
-        nodes_result = engine.execute(nodes_query, company_code=company_code).fetchall()
+        with engine.connect() as conn:
+            nodes_result = conn.execute(nodes_query, company_code=company_code).fetchall()
 
         # 获取产业链流向数据
         flows_query = text("""
@@ -11242,7 +11269,8 @@ def get_value_chain_analysis(company_code):
                            ORDER BY flow_ratio DESC
                            """)
 
-        flows_result = engine.execute(flows_query, company_code=company_code).fetchall()
+        with engine.connect() as conn:
+            flows_result = conn.execute(flows_query, company_code=company_code).fetchall()
 
         # 构建节点数据结构
         nodes_by_level = {}
@@ -11352,7 +11380,8 @@ def get_key_factors_timeline(company_code):
                                 ORDER BY display_order ASC, created_at ASC
                                 """)
 
-        categories_result = engine.execute(categories_query, company_code=company_code).fetchall()
+        with engine.connect() as conn:
+            categories_result = conn.execute(categories_query, company_code=company_code).fetchall()
 
         # 获取关键因素详情
         factors_query = text("""
@@ -11417,7 +11446,8 @@ def get_key_factors_timeline(company_code):
                                  ORDER BY kf.report_period DESC, kf.impact_weight DESC, kf.updated_at DESC
                                  """)
 
-        factors_result = engine.execute(factors_query, **params).fetchall()
+        with engine.connect() as conn:
+            factors_result = conn.execute(factors_query, **params).fetchall()
 
         # 获取发展时间线事件
         timeline_query = text("""
@@ -11436,9 +11466,10 @@ def get_key_factors_timeline(company_code):
                               ORDER BY event_date DESC LIMIT :limit
                               """)
 
-        timeline_result = engine.execute(timeline_query,
-                                         company_code=company_code,
-                                         limit=event_limit).fetchall()
+        with engine.connect() as conn:
+            timeline_result = conn.execute(timeline_query,
+                                             company_code=company_code,
+                                             limit=event_limit).fetchall()
 
         # 构建关键因素数据结构
         key_factors_data = {}