fix: /v1/stock/klines接口已通

app/adapters/amazingdata_adapter.py

@@ -223,30 +223,45 @@ class AmazingDataAdapter(DataSourceAdapter):
         results = []
         if symbol in kline_dict:
             df = kline_dict[symbol]
+            print(f"[amazingdata_adapter _fetch_klines_sync]DataFrame columns: {df.columns.tolist()}")
+            print(f"[amazingdata_adapter _fetch_klines_sync]DataFrame head:\n{df.head()}")
+            
             for _, row in df.iterrows():
-                print(f"[amazingdata_adapter _fetch_klines_sync]正在处理行: {row}")
+                # 从 kline_time 列获取日期（AmazingData 返回的日期字段）
-                # 解析日期时间
+                kline_time = row.get('kline_time')
-                # if isinstance(row.name, pd.Timestamp):
+                if pd.isna(kline_time) or kline_time is None:
-                #     ts = int(row.name.timestamp())
+                    print(f"[amazingdata_adapter _fetch_klines_sync]跳过无效日期: kline_time 为空")
-                #     trade_date = row.name.strftime('%Y-%m-%d')
+                    continue
-                # else:
+                
-                    # 假设是整数日期格式 YYYYMMDD
+                try:
-                    # date_str = str(row.name)
+                    # kline_time 可能是 Timestamp 或整数 YYYYMMDD
-                    # dt = datetime.strptime(date_str, "%Y-%m-%d")
+                    if isinstance(kline_time, pd.Timestamp):
-                    # ts = int(dt.timestamp())
+                        ts = int(kline_time.timestamp())
-                    # trade_date = dt.strftime('%Y-%m-%d')
+                        trade_date = kline_time.strftime('%Y-%m-%d')
+                    else:
+                        # 整数格式 YYYYMMDD
+                        date_str = str(int(kline_time))
+                        if len(date_str) != 8:
+                            print(f"[amazingdata_adapter _fetch_klines_sync]跳过无效日期: {date_str}")
+                            continue
+                        
+                        dt = datetime.strptime(date_str, "%Y%m%d")
+                        ts = int(dt.timestamp())
+                        trade_date = dt.strftime('%Y-%m-%d')
+                except (ValueError, TypeError) as e:
+                    print(f"[amazingdata_adapter _fetch_klines_sync]日期解析错误 '{kline_time}' (type: {type(kline_time)}): {e}")
+                    continue
                 
                 results.append(KLineData(
                     symbol=symbol,
-                    # time=ts,
+                    time=ts,
-                    time=datetime.fromtimestamp("2026-03-02").strftime('%Y-%m-%d'),
                     open=float(row.get('open', 0)),
                     high=float(row.get('high', 0)),
                     low=float(row.get('low', 0)),
                     close=float(row.get('close', 0)),
                     volume=int(row.get('volume', 0)),
                     amount=float(row.get('amount', 0)),
-                    trade_date=row.get('kline_time').strftime('%Y-%m-%d')
+                    trade_date=trade_date
                 ))
 
         info(f"Fetched {len(results)} klines from AmazingData for {symbol}")

app/models/types.py

@@ -74,6 +74,7 @@ class DataSourceStatus(str, Enum):
 
 class KLineItem(BaseModel):
     """单条K线数据"""
+    symbol: Optional[str] = Field(None, description="标的代码")
     time: datetime = Field(..., description="时间戳")
     open: float = Field(..., description="开盘价")
     high: float = Field(..., description="最高价")