Zone rebuild tolerante a columnas faltantes en el preprocessed

Ligas sin enriquecer no traen home/away_team_id u otras columnas: se leen las
disponibles y el resto queda NaN (el head-to-head cae al lookup legacy en vez
de romper la reconstrucción de zones).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

vendor/scripts/generate_real_sociedad_b_reports.py

@@ -125,11 +125,21 @@ def build_zone_features_from_preprocessed() -> pd.DataFrame:
         "outcome_value",
         "pvAdded",
     ]
-    work = pd.read_csv(PREPROCESSED_PATH, usecols=usecols, low_memory=False).copy()
+    # Tolerante a columnas faltantes: algunas ligas viejas/sin enriquecer no traen todas
+    # (p.ej. home/away_team_id). Se leen las disponibles y el resto queda NaN — el
+    # head-to-head cae entonces al lookup de roles legacy en vez de romper acá.
+    header = pd.read_csv(PREPROCESSED_PATH, nrows=0)
+    header_cols = {c.strip().lstrip("") for c in header.columns}
+    presentes = [c for c in usecols if c in header_cols]
+    work = pd.read_csv(PREPROCESSED_PATH, usecols=presentes, low_memory=False).copy()
+    for c in usecols:
+        if c not in work.columns:
+            work[c] = np.nan
     work["matchId"] = work["matchId"].astype(str)
     work["teamId"] = work["teamId"].astype(str)
-    work["home_team_id"] = work["home_team_id"].astype(str)
-    work["away_team_id"] = work["away_team_id"].astype(str)
+    if work["home_team_id"].notna().any():
+        work["home_team_id"] = work["home_team_id"].astype(str)
+        work["away_team_id"] = work["away_team_id"].astype(str)
     work["sequenceId"] = pd.to_numeric(work["sequenceId"], errors="coerce")
     work = work.dropna(subset=["sequenceId"]).copy()
     work["sequenceId"] = work["sequenceId"].astype(int).astype(str)