feat(factors): 添加 SchemaCache 实现数据库表结构自动扫描

src/factors/engine/planner.py

@@ -16,6 +16,7 @@ from src.factors.dsl import (
 from src.factors.compiler import DependencyExtractor
 from src.factors.translator import PolarsTranslator
 from src.factors.engine.data_spec import DataSpec, ExecutionPlan
+from src.factors.engine.schema_cache import get_schema_cache
 
 
 class ExecutionPlanner:
@@ -73,9 +74,8 @@ class ExecutionPlanner:
     ) -> List[DataSpec]:
         """从依赖推导数据规格。
 
-        基础行情字段（open, high, low, close, vol, amount, pre_close, change, pct_chg）
-        默认从 pro_bar 表获取。
-        每日指标字段（total_mv, circ_mv, pe, pb 等）从 daily_basic 表获取。
+        使用 SchemaCache 动态扫描数据库表结构，自动匹配字段到对应的表。
+        表结构只扫描一次并缓存在内存中。
 
         Args:
             dependencies: 依赖的字段集合
@@ -84,69 +84,16 @@ class ExecutionPlanner:
         Returns:
             数据规格列表
         """
-        # 基础行情字段集合（这些字段从 pro_bar 表获取）
-        pro_bar_fields = {
-            "open",
-            "high",
-            "low",
-            "close",
-            "vol",
-            "amount",
-            "pre_close",
-            "change",
-            "pct_chg",
-            "turnover_rate",
-            "volume_ratio",
-        }
-
-        # 每日指标字段集合（这些字段从 daily_basic 表获取）
-        daily_basic_fields = {
-            "turnover_rate_f",
-            "pe",
-            "pe_ttm",
-            "pb",
-            "ps",
-            "ps_ttm",
-            "dv_ratio",
-            "dv_ttm",
-            "total_share",
-            "float_share",
-            "free_share",
-            "total_mv",
-            "circ_mv",
-        }
-
-        # 将依赖分为不同表的字段
-        pro_bar_deps = dependencies & pro_bar_fields
-        daily_basic_deps = dependencies & daily_basic_fields
-        other_deps = dependencies - pro_bar_fields - daily_basic_fields
+        # 使用 SchemaCache 自动匹配字段到表
+        schema_cache = get_schema_cache()
+        table_to_fields = schema_cache.match_fields_to_tables(dependencies)
 
         data_specs = []
-
-        # pro_bar 表的数据规格
-        if pro_bar_deps:
+        for table_name, columns in table_to_fields.items():
             data_specs.append(
                 DataSpec(
-                    table="pro_bar",
-                    columns=sorted(pro_bar_deps),
-                )
-            )
-
-        # daily_basic 表的数据规格
-        if daily_basic_deps:
-            data_specs.append(
-                DataSpec(
-                    table="daily_basic",
-                    columns=sorted(daily_basic_deps),
-                )
-            )
-
-        # 其他字段从 daily 表获取
-        if other_deps:
-            data_specs.append(
-                DataSpec(
-                    table="daily",
-                    columns=sorted(other_deps),
+                    table=table_name,
+                    columns=columns,
                 )
             )