fix(factor): WARMUP_BARS 60→120 恢复spec剔新口径(修夹具130根预热而非改口径)+evaluation_filter改datetime对象比较(9M行免逐行strftime) [vps]

sanguo_factor/universe.py

@@ -11,7 +11,7 @@ from datetime import datetime, timedelta
 import polars as pl
 
 STOCK_PREFIXES = ("60", "00", "30")
-WARMUP_BARS = 60
+WARMUP_BARS = 120
 _CHUNK = 300          # 分块 IN 查询每块 symbol 数(控瞬时内存)
 _LOOKBACK_DAYS = 300  # start 前缓冲(覆盖最大 60 日窗口 + 节假日)
 _FORWARD_DAYS = 45    # end 后缓冲(覆盖 10 日前瞻收益)
@@ -98,11 +98,10 @@ def load_universe_bars(
 
 def evaluation_filter(df: pl.DataFrame, start: str, end: str) -> pl.DataFrame:
     """IC 评估行集:窗口内 + 预热期已过."""
-    # Convert datetime to string (YYYY-MM-DD) for string comparison
-    # This avoids polars Datetime comparison issues
+    from datetime import datetime as _dt
     return df.filter(
-        (pl.col("datetime").dt.strftime("%Y-%m-%d") >= pl.lit(start))
-        & (pl.col("datetime").dt.strftime("%Y-%m-%d") <= pl.lit(end))
+        (pl.col("datetime") >= _dt.strptime(start, "%Y-%m-%d"))
+        & (pl.col("datetime") <= _dt.strptime(end, "%Y-%m-%d"))
         & (pl.col("bar_idx") >= WARMUP_BARS)
     )