fix：基础k线数据获取成功

app/adapters/amazingdata_adapter.py

@@ -295,14 +295,27 @@ class AmazingDataAdapter(DataSourceAdapter):
                 local_path=self.config.local_path,
                 is_local=self.config.use_local_cache
             )
+            print(f"[amazingdata_adapter _fetch_klines_sync]股本结构: {equity_dict}")
             if symbol in equity_dict:
                 equity_df = equity_dict[symbol]
-                # 获取最新的股本数据
+                print(f"[amazingdata_adapter _fetch_klines_sync]获取到 {len(equity_df)} 条股本结构数据")
+                # 获取最近交易日的 TOT_A_SHARE 作为总股本
                 if not equity_df.empty:
+                    # 按日期排序，获取最新数据
+                    if 'ANN_DATE' in equity_df.columns:
+                        equity_df = equity_df.sort_values('ANN_DATE')
                     latest_equity = equity_df.iloc[-1]
-                    tot_share = float(latest_equity.get('TOT_SHARE', 0)) * 10000  # 万股转股
-                    float_share = float(latest_equity.get('FLOAT_SHARE', 0)) * 10000  # 万股转股
-                    print(f"[amazingdata_adapter _fetch_klines_sync]总股本: {tot_share}, 流通股: {float_share}")
+                    
+                    # 获取 TOT_A_SHARE（A股总股本）
+                    tot_a_share = float(latest_equity.get('TOT_A_SHARE', 0))
+                    tot_share = tot_a_share * 10000  # 万股转股
+                    
+                    # 流通股使用 FLOAT_A_SHARE（流通A股）
+                    float_a_share = float(latest_equity.get('FLOAT_A_SHARE', 0))
+                    float_share = float_a_share * 10000  # 万股转股
+                    
+                    print(f"[amazingdata_adapter _fetch_klines_sync]最近交易日 TOT_A_SHARE: {tot_a_share} 万股, FLOAT_A_SHARE: {float_a_share} 万股")
+                    print(f"[amazingdata_adapter _fetch_klines_sync]换算后总股本: {tot_share} 股, 流通股: {float_share} 股")
                 else:
                     tot_share = 0
                     float_share = 0
@@ -377,8 +390,10 @@ class AmazingDataAdapter(DataSourceAdapter):
             # ============================================
             # 4.2 计算市值
             # ============================================
+            print(f"[amazingdata_adapter _fetch_klines_sync]close: {close}, 总股本: {tot_share}, 流通股本: {float_share}")
             total_market_cap = close * tot_share if tot_share > 0 and close > 0 else None
             float_market_cap = close * float_share if float_share > 0 and close > 0 else None
+            print(f"[amazingdata_adapter _fetch_klines_sync]总市值: {total_market_cap}, 流通市值: {float_market_cap}")
             
             # ============================================
             # 4.3 计算可交易日数

app/services/stock_service.py

@@ -32,25 +32,23 @@ class StockService:
         except ValueError as e:
             raise ValueError(f"Invalid date format: {e}")
         
-        # todo 暂时不从数据库获取，后期放开
         # 获取K线数据（从数据库）
-        # items = self.repository.get_klines(
-        #     req.symbol,
-        #     req.freq,
-        #     start,
-        #     end,
-        #     req.adjust
-        # )
-        items = []  # 先不从数据库获取，直接从适配器获取
+        items = self.repository.get_klines(
+            req.symbol,
+            req.freq,
+            start,
+            end,
+            req.adjust
+        )
         
         # 如果数据库没有数据，尝试从适配器获取
         if not items:
             info(f"No data in DB for {req.symbol}, fetching from adapter...")
             items = self._fetch_from_adapter(req.symbol, req.start, req.end, req.freq)
             
-            # # 保存到数据库
-            # if items:
-            #     self._save_klines_to_db(req.symbol, req.freq, items)
+            # 保存到数据库
+            if items:
+                self._save_klines_to_db(req.symbol, req.freq, items)
         
         # 处理复权（简化实现，实际需要复权系数表）
         if req.adjust != AdjustType.NONE: