feat(data): 添加每日指标接口并优化因子引擎

- 新增 api_daily_basic.py 封装 Tushare 每日指标接口
- 因子引擎移除 lookback_days，支持 daily_basic 表字段路由
- 将每日指标纳入自动同步流程
- 删除废弃的 training/main.py

src/data/sync.py

@@ -7,6 +7,7 @@
 
 ✅ 本模块包含的同步逻辑（每日更新）：
     - api_daily.py: 日线数据同步 (DailySync 类)
+    - api_daily_basic.py: 每日指标数据同步 (DailyBasicSync 类)
     - api_bak_basic.py: 历史股票列表同步 (BakBasicSync 类)
     - api_pro_bar.py: Pro Bar 数据同步 (ProBarSync 类)
     - api_stock_basic.py: 股票基本信息同步
@@ -44,6 +45,7 @@ from src.data.api_wrappers import sync_all_stocks
 from src.data.api_wrappers.api_daily import sync_daily, preview_daily_sync
 from src.data.api_wrappers.api_pro_bar import sync_pro_bar
 from src.data.api_wrappers.api_bak_basic import sync_bak_basic
+from src.data.api_wrappers.api_daily_basic import sync_daily_basic
 
 
 def preview_sync(
@@ -157,7 +159,8 @@ def sync_all_data(
     2. 股票基本信息 (sync_all_stocks)
     3. 日线数据 (sync_daily)
     4. Pro Bar 数据 (sync_pro_bar)
-    5. 历史股票列表 (sync_bak_basic)
+    5. 每日指标数据 (sync_daily_basic)
+    6. 历史股票列表 (sync_bak_basic)
 
     【不包含的同步（需单独调用）】
     - 财务数据: 利润表、资产负债表、现金流量表（季度更新）
@@ -238,7 +241,7 @@ def sync_all_data(
         results["daily"] = pd.DataFrame()
 
     # 4. Sync Pro Bar data
-    print("\n[4/5] Syncing Pro Bar data (with adj, tor, vr)...")
+    print("\n[4/6] Syncing Pro Bar data (with adj, tor, vr)...")
     try:
         # 确保表存在
         from src.data.api_wrappers.api_pro_bar import ProBarSync
@@ -255,14 +258,31 @@ def sync_all_data(
             sum(len(df) for df in pro_bar_result.values()) if pro_bar_result else 0
         )
         print(
-            f"[4/5] Pro Bar data: OK ({total_pro_bar_records} records from {len(pro_bar_result)} stocks)"
+            f"[4/6] Pro Bar data: OK ({total_pro_bar_records} records from {len(pro_bar_result)} stocks)"
         )
     except Exception as e:
-        print(f"[4/5] Pro Bar data: FAILED - {e}")
+        print(f"[4/6] Pro Bar data: FAILED - {e}")
         results["pro_bar"] = pd.DataFrame()
 
-    # 5. Sync stock historical list (bak_basic)
-    print("\n[5/5] Syncing stock historical list (bak_basic)...")
+    # 5. Sync daily basic indicators
+    print(
+        "\n[5/6] Syncing daily basic indicators (PE, PB, turnover rate, market value)..."
+    )
+    try:
+        # 确保表存在
+        from src.data.api_wrappers.api_daily_basic import DailyBasicSync
+
+        DailyBasicSync().ensure_table_exists()
+
+        daily_basic_result = sync_daily_basic(force_full=force_full, dry_run=dry_run)
+        results["daily_basic"] = daily_basic_result
+        print(f"[5/6] Daily basic: OK ({len(daily_basic_result)} records)")
+    except Exception as e:
+        print(f"[5/6] Daily basic: FAILED - {e}")
+        results["daily_basic"] = pd.DataFrame()
+
+    # 6. Sync stock historical list (bak_basic)
+    print("\n[6/6] Syncing stock historical list (bak_basic)...")
     try:
         # 确保表存在
         from src.data.api_wrappers.api_bak_basic import BakBasicSync
@@ -271,9 +291,9 @@ def sync_all_data(
 
         bak_basic_result = sync_bak_basic(force_full=force_full)
         results["bak_basic"] = bak_basic_result
-        print(f"[5/5] Bak basic: OK ({len(bak_basic_result)} records)")
+        print(f"[6/6] Bak basic: OK ({len(bak_basic_result)} records)")
     except Exception as e:
-        print(f"[5/5] Bak basic: FAILED - {e}")
+        print(f"[6/6] Bak basic: FAILED - {e}")
         results["bak_basic"] = pd.DataFrame()
 
     # Summary
@@ -286,7 +306,7 @@ def sync_all_data(
             total_records = sum(len(df) for df in data.values())
             print(f"  {data_type}: {len(data)} stocks, {total_records} total records")
         else:
-            # bak_basic 返回的是 DataFrame
+            # daily_basic 和 bak_basic 返回的是 DataFrame
             print(f"  {data_type}: {len(data)} records")
     print("=" * 60)
     print("\nNote: namechange is NOT in auto-sync. To sync manually:")
@@ -308,7 +328,7 @@ if __name__ == "__main__":
     print("")
     print("  # Or sync individual data types:")
     print("  from src.data.sync import sync_all, preview_sync")
-    print("  from src.data.sync import sync_bak_basic")
+    print("  from src.data.api_wrappers import sync_daily_basic, sync_bak_basic")
     print("")
     print("  # Preview before sync (recommended)")
     print("  preview = preview_sync()")