重置项目

refer/backend/app/api/kline.py

@@ -7,7 +7,7 @@ from typing import Optional
 
 from fastapi import APIRouter, HTTPException, Query, Request
 
-from app.indicators.pipeline import compute_enriched_single
+from app.indicators.pipeline import compute_enriched, compute_enriched_single
 from app.services import kline_sync
 
 logger = logging.getLogger(__name__)
@@ -123,10 +123,19 @@ def get_daily(
         try:
             raw = kline_sync.sync_daily_batch([symbol], count=days + 30)
         except Exception as e:
-            raise HTTPException(status_code=502, detail=f"数据源 fetch failed: {e}") from e
+            raise HTTPException(status_code=502, detail=f"TickFlow fetch failed: {e}") from e
         if raw.is_empty():
             return {"symbol": symbol, "name": stock_name, "stock_info": stock_info, "rows": []}
-        enriched = compute_enriched_single(raw)
+        # 拉除权因子做前复权 (Starter+ 有权限), 否则空 df → compute_enriched 退回未复权
+        factors = pl.DataFrame()
+        capset = getattr(request.app.state, "capabilities", None)
+        try:
+            from app.tickflow.capabilities import Cap
+            if capset and capset.has(Cap.ADJ_FACTOR):
+                factors = kline_sync.fetch_adj_factor_single(symbol)
+        except Exception as e:  # noqa: BLE001
+            logger.debug("单股除权因子拉取失败 %s: %s", symbol, e)
+        enriched = compute_enriched(raw, factors=factors)
         rows = enriched.tail(days).to_dicts()
         # 即使 live 模式也尝试追加实时蜡烛
         rows = _maybe_inject_live_candle(request, symbol, rows)
@@ -328,7 +337,7 @@ def get_minute(
     """读取某只股票某天的分钟 K 线。
 
     - 本地有完整数据(240条) → 直接返回
-    - 本地无数据或不完整 → 从数据源实时拉取返回（不写入）
+    - 本地无数据或不完整 → 从 TickFlow 实时拉取返回（不写入）
     """
     repo = request.app.state.repo
     stock_info = _get_stock_info(repo, symbol)
@@ -337,7 +346,7 @@ def get_minute(
     if trade_date is None:
         trade_date = repo.latest_minute_date(symbol)
     if trade_date is None:
-        # 本地无任何分钟K，尝试从数据源拉取当天
+        # 本地无任何分钟K，尝试从 TickFlow 拉取当天
         trade_date = date.today()
         df = kline_sync.fetch_minute_single(symbol, trade_date)
         return {
@@ -373,7 +382,7 @@ def get_minute(
             "date": str(trade_date), "rows": df.to_dicts(), "source": "local",
         }
 
-    # 本地不完整或无数据 → 从数据源实时拉取
+    # 本地不完整或无数据 → 从 TickFlow 实时拉取
     live_df = kline_sync.fetch_minute_single(symbol, trade_date)
     return {
         "symbol": symbol, "name": stock_name, "stock_info": stock_info,