fix(factor-engine): 修复多因子计算时数据规格字段合并的 bug

- 修复 FactorEngine.compute() 中相同表的字段未正确合并的问题
- 将简单去重改为字段集合合并，确保所有因子依赖的字段都被获取
- 解决 high_low_ratio 等需要 high/low 字段的因子计算失败问题

src/data/api_wrappers/__init__.py

@@ -29,12 +29,6 @@ Example:
     >>> stk_limit = get_stk_limit(trade_date='20240101')
 """
 
-from src.data.api_wrappers.api_daily import (
-    get_daily,
-    sync_daily,
-    preview_daily_sync,
-    DailySync,
-)
 from src.data.api_wrappers.api_daily_basic import (
     get_daily_basic,
     sync_daily_basic,

src/experiment/learn_to_rank.py

@@ -302,14 +302,14 @@ SELECTED_FACTORS = [
     "return_5_rank",
     "EP_rank",
     "pe_expansion_trend",
-    # "value_price_divergence",
+    "value_price_divergence",
     "active_market_cap",
-    # "ebit_rank",
+    "ebit_rank",
 ]
 
 # 因子定义字典（完整因子库）
 FACTOR_DEFINITIONS = {
-    # "turnover_rate_volatility": "ts_std(log(turnover_rate), 20)"
+    "turnover_rate_volatility": "ts_std(log(turnover_rate), 20)"
 }
 
 # Label 因子定义（不参与训练，用于计算目标）

src/factors/engine/factor_engine.py

@@ -335,13 +335,28 @@ class FactorEngine:
         for plan in plans:
             all_specs.extend(plan.data_specs)
 
-        # 去重数据规格（基于表名）
+        # 合并相同表的字段（而不是简单地去重）
-        seen_tables: set = set()
+        table_to_columns: Dict[str, Set[str]] = {}
-        unique_specs: List[DataSpec] = []
+        table_to_spec: Dict[str, DataSpec] = {}
         for spec in all_specs:
-            if spec.table not in seen_tables:
+            if spec.table not in table_to_columns:
-                seen_tables.add(spec.table)
+                table_to_columns[spec.table] = set()
-                unique_specs.append(spec)
+                table_to_spec[spec.table] = spec
+            table_to_columns[spec.table].update(spec.columns)
+
+        # 创建合并后的数据规格
+        unique_specs: List[DataSpec] = []
+        for table_name, columns in table_to_columns.items():
+            original_spec = table_to_spec[table_name]
+            unique_specs.append(
+                DataSpec(
+                    table=table_name,
+                    columns=list(columns),
+                    join_type=original_spec.join_type,
+                    left_on=original_spec.left_on,
+                    right_on=original_spec.right_on,
+                )
+            )
 
         # 4. 从路由器获取核心宽表
         core_data = self.router.fetch_data(