update ui

app.py

@@ -8657,7 +8657,7 @@ def get_stock_info(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode).fetchone()
+            result = conn.execute(query, {'seccode': seccode}).fetchone()
 
         if not result:
             return jsonify({
@@ -8681,7 +8681,7 @@ def get_stock_info(seccode):
                               """)
 
         with engine.connect() as conn:
-            forecast_result = conn.execute(forecast_query, seccode=seccode).fetchone()
+            forecast_result = conn.execute(forecast_query, {'seccode': seccode}).fetchone()
 
         data = {
             'stock_code': result.SECCODE,
@@ -8843,7 +8843,7 @@ def get_balance_sheet(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, limit=limit)
+            result = conn.execute(query, {'seccode': seccode, 'limit': limit})
         data = []
 
         for row in result:
@@ -9034,7 +9034,7 @@ def get_income_statement(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, limit=limit)
+            result = conn.execute(query, {'seccode': seccode, 'limit': limit})
         data = []
 
         for row in result:
@@ -9244,7 +9244,7 @@ def get_cashflow(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, limit=limit)
+            result = conn.execute(query, {'seccode': seccode, 'limit': limit})
         data = []
 
         for row in result:
@@ -9480,7 +9480,7 @@ def get_financial_metrics(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, limit=limit)
+            result = conn.execute(query, {'seccode': seccode, 'limit': limit})
         data = []
 
         for row in result:
@@ -9621,7 +9621,7 @@ def get_main_business(seccode):
                             """)
 
         with engine.connect() as conn:
-            periods = conn.execute(period_query, seccode=seccode, limit=limit).fetchall()
+            periods = conn.execute(period_query, {'seccode': seccode, 'limit': limit}).fetchall()
 
         # 产品分类数据
         product_data = []
@@ -9640,7 +9640,7 @@ def get_main_business(seccode):
                          """)
 
             with engine.connect() as conn:
-                result = conn.execute(query, seccode=seccode, enddate=period[0])
+                result = conn.execute(query, {'seccode': seccode, 'enddate': period[0]})
             # Convert result to list to allow multiple iterations
             rows = list(result)
 
@@ -9690,7 +9690,7 @@ def get_main_business(seccode):
                          """)
 
             with engine.connect() as conn:
-                result = conn.execute(query, seccode=seccode, enddate=period[0])
+                result = conn.execute(query, {'seccode': seccode, 'enddate': period[0]})
             # Convert result to list to allow multiple iterations
             rows = list(result)
 
@@ -9752,7 +9752,7 @@ def get_forecast(seccode):
                               """)
 
         with engine.connect() as conn:
-            forecast_result = conn.execute(forecast_query, seccode=seccode)
+            forecast_result = conn.execute(forecast_query, {'seccode': seccode})
         forecast_data = []
 
         for row in forecast_result:
@@ -9794,7 +9794,7 @@ def get_forecast(seccode):
                              """)
 
         with engine.connect() as conn:
-            pretime_result = conn.execute(pretime_query, seccode=seccode)
+            pretime_result = conn.execute(pretime_query, {'seccode': seccode})
         pretime_data = []
 
         for row in pretime_result:
@@ -9894,7 +9894,7 @@ def get_industry_rank(seccode):
 
         # 获取多个报告期的数据
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, limit_total=limit * 4)
+            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 = {}
@@ -10015,7 +10015,7 @@ def get_period_comparison(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, periods=periods)
+            result = conn.execute(query, {'seccode': seccode, 'periods': periods})
 
         data = []
         for row in result:
@@ -10140,7 +10140,7 @@ def get_trade_data(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, end_date=end_date, days=days)
+            result = conn.execute(query, {'seccode': seccode, 'end_date': end_date, 'days': days})
 
         data = []
         for row in result:
@@ -10217,7 +10217,7 @@ def get_funding_data(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, days=days)
+            result = conn.execute(query, {'seccode': seccode, 'days': days})
 
         data = []
         for row in result:
@@ -10276,7 +10276,7 @@ def get_bigdeal_data(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode, days=days)
+            result = conn.execute(query, {'seccode': seccode, 'days': days})
 
         data = []
         for row in result:
@@ -10351,7 +10351,7 @@ def get_unusual_data(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode)
+            result = conn.execute(query, {'seccode': seccode})
 
         data = []
         for row in result:
@@ -10430,7 +10430,7 @@ def get_pledge_data(seccode):
                      """)
 
         with engine.connect() as conn:
-            result = conn.execute(query, seccode=seccode)
+            result = conn.execute(query, {'seccode': seccode})
 
         data = []
         for row in result:
@@ -10488,11 +10488,11 @@ def get_market_summary(seccode):
                             """)
 
         with engine.connect() as conn:
-            trade_result = conn.execute(trade_query, seccode=seccode).fetchone()
+            trade_result = conn.execute(trade_query, {'seccode': seccode}).fetchone()
         with engine.connect() as conn:
-            funding_result = conn.execute(funding_query, seccode=seccode).fetchone()
+            funding_result = conn.execute(funding_query, {'seccode': seccode}).fetchone()
         with engine.connect() as conn:
-            pledge_result = conn.execute(pledge_query, seccode=seccode).fetchone()
+            pledge_result = conn.execute(pledge_query, {'seccode': seccode}).fetchone()
 
         summary = {
             'stock_code': seccode,
@@ -11051,7 +11051,7 @@ def get_comprehensive_analysis(company_code):
                                  """)
 
         with engine.connect() as conn:
-            qualitative_result = conn.execute(qualitative_query, company_code=company_code).fetchone()
+            qualitative_result = conn.execute(qualitative_query, {'company_code': company_code}).fetchone()
 
         # 获取业务板块分析
         segments_query = text("""
@@ -11069,7 +11069,7 @@ def get_comprehensive_analysis(company_code):
                               """)
 
         with engine.connect() as conn:
-            segments_result = conn.execute(segments_query, company_code=company_code).fetchall()
+            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("""
@@ -11095,7 +11095,7 @@ def get_comprehensive_analysis(company_code):
                                  """)
 
         with engine.connect() as conn:
-            competitive_result = conn.execute(competitive_query, company_code=company_code).fetchone()
+            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("""
@@ -11123,7 +11123,7 @@ def get_comprehensive_analysis(company_code):
                                         """)
 
         with engine.connect() as conn:
-            business_structure_result = conn.execute(business_structure_query, company_code=company_code).fetchall()
+            business_structure_result = conn.execute(business_structure_query, {'company_code': company_code}).fetchall()
 
         # 构建返回数据
         response_data = {
@@ -11261,7 +11261,7 @@ def get_value_chain_analysis(company_code):
                            """)
 
         with engine.connect() as conn:
-            nodes_result = conn.execute(nodes_query, company_code=company_code).fetchall()
+            nodes_result = conn.execute(nodes_query, {'company_code': company_code}).fetchall()
 
         # 获取产业链流向数据
         flows_query = text("""
@@ -11282,7 +11282,7 @@ def get_value_chain_analysis(company_code):
                            """)
 
         with engine.connect() as conn:
-            flows_result = conn.execute(flows_query, company_code=company_code).fetchall()
+            flows_result = conn.execute(flows_query, {'company_code': company_code}).fetchall()
 
         # 构建节点数据结构
         nodes_by_level = {}
@@ -11393,7 +11393,7 @@ def get_key_factors_timeline(company_code):
                                 """)
 
         with engine.connect() as conn:
-            categories_result = conn.execute(categories_query, company_code=company_code).fetchall()
+            categories_result = conn.execute(categories_query, {'company_code': company_code}).fetchall()
 
         # 获取关键因素详情
         factors_query = text("""
@@ -11479,9 +11479,7 @@ def get_key_factors_timeline(company_code):
                               """)
 
         with engine.connect() as conn:
-            timeline_result = conn.execute(timeline_query,
-                                             company_code=company_code,
-                                             limit=event_limit).fetchall()
+            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 = {}