[2026-05-28] 외부 데이터 학습 파이프라인 복구

app/ml/features.py

@@ -15,16 +15,24 @@ EXCLUDED_COLUMNS = {
     "name",
     "entry_time",
     "exit_time",
+    "exit_price",
     "sample_time",
     "created_at",
     "exit_reason",
     "strategy",
     "reason",
+    "pnl",
     "source_file",
     "ai_win_score",
     "ai_stop_loss_score",
     "ai_model_version",
 }
+EXCLUDED_PREFIXES = (
+    "price_",
+    "ret_",
+    "mfe_",
+    "mae_",
+)
 
 
 def select_feature_columns(df: pd.DataFrame, targets: Iterable[str] = LABEL_COLUMNS) -> list[str]:
@@ -32,7 +40,11 @@ def select_feature_columns(df: pd.DataFrame, targets: Iterable[str] = LABEL_COLU
     numeric_columns = [
         column
         for column in df.columns
-        if column not in excluded and pd.api.types.is_numeric_dtype(df[column])
+        if (
+            column not in excluded
+            and not column.startswith(EXCLUDED_PREFIXES)
+            and pd.api.types.is_numeric_dtype(df[column])
+        )
     ]
     return sorted(numeric_columns)