update pay ui

app.py

@@ -5603,8 +5603,11 @@ def get_historical_event_stocks(event_id):
                     # 查询股票在事件对应交易日的数据
                     # ea_trade 表字段：F007N=最近成交价(收盘价), F010N=涨跌幅
                     base_stock_code = stock.stock_code.split('.')[0] if stock.stock_code else ''
-                    # 日期格式转换为 YYYYMMDD
-                    trade_date_str = event_trading_date.strftime('%Y%m%d') if hasattr(event_trading_date, 'strftime') else str(event_trading_date).replace('-', '')
+                    # 日期格式转换为 YYYYMMDD 整数（ea_trade.TRADEDATE 是 int 类型）
+                    if hasattr(event_trading_date, 'strftime'):
+                        trade_date_int = int(event_trading_date.strftime('%Y%m%d'))
+                    else:
+                        trade_date_int = int(str(event_trading_date).replace('-', ''))
                     with engine.connect() as conn:
                         query = text("""
                                      SELECT F007N as close_price, F010N as change_pct
@@ -5616,12 +5619,13 @@ def get_historical_event_stocks(event_id):
 
                         result = conn.execute(query, {
                             'stock_code': base_stock_code,
-                            'trading_date': trade_date_str
+                            'trading_date': trade_date_int
                         }).fetchone()
 
                         if result:
                             stock_data['event_day_close'] = float(result[0]) if result[0] else None
                             stock_data['event_day_change_pct'] = float(result[1]) if result[1] else None
+                            print(f"[DEBUG] 股票{base_stock_code}在{trade_date_int}: close={result[0]}, change_pct={result[1]}")
                         else:
                             stock_data['event_day_close'] = None
                             stock_data['event_day_change_pct'] = None
@@ -6431,8 +6435,10 @@ def get_batch_kline_data():
                 if base_codes:
                     placeholders = ','.join([f':code{i}' for i in range(len(base_codes))])
                     params = {f'code{i}': code for i, code in enumerate(base_codes)}
-                    params['start_date'] = target_date - timedelta(days=60)
-                    params['end_date'] = target_date
+                    # TRADEDATE 是整数格式 YYYYMMDD，需要转换日期格式
+                    start_date = target_date - timedelta(days=60)
+                    params['start_date'] = int(start_date.strftime('%Y%m%d'))
+                    params['end_date'] = int(target_date.strftime('%Y%m%d'))
 
                     daily_result = conn.execute(text(f"""
                         SELECT SECCODE, TRADEDATE, F003N as open, F005N as high, F006N as low, F007N as close, F004N as volume
@@ -6448,8 +6454,17 @@ def get_batch_kline_data():
                         code_base = row[0]
                         if code_base not in stock_data:
                             stock_data[code_base] = []
+                        # 日期格式处理：TRADEDATE 可能是 datetime 或 int(YYYYMMDD)
+                        trade_date_val = row[1]
+                        if hasattr(trade_date_val, 'strftime'):
+                            date_str = trade_date_val.strftime('%Y-%m-%d')
+                        elif isinstance(trade_date_val, int):
+                            # 整数格式 YYYYMMDD -> YYYY-MM-DD
+                            date_str = f"{str(trade_date_val)[:4]}-{str(trade_date_val)[4:6]}-{str(trade_date_val)[6:8]}"
+                        else:
+                            date_str = str(trade_date_val)
                         stock_data[code_base].append({
-                            'date': row[1].strftime('%Y-%m-%d') if hasattr(row[1], 'strftime') else str(row[1]),
+                            'time': date_str,  # 统一使用 time 字段，与前端期望一致
                             'open': float(row[2]) if row[2] else 0,
                             'high': float(row[3]) if row[3] else 0,
                             'low': float(row[4]) if row[4] else 0,