Fix merchant CSV export

app.py

@@ -268,15 +268,39 @@ def _report_image(name: str):
     return str(path) if path.exists() else None
 
 
-def _write_csv_download(name: str, headers: List[str], rows: List[List[Any]]):
+def _write_csv_download(name: str, headers: List[str], rows):
     path = Path(tempfile.gettempdir()) / name
+    normalized = _normalize_table_rows(rows)
     with path.open("w", encoding="utf-8-sig", newline="") as fh:
         writer = csv.writer(fh)
         writer.writerow(headers)
-        writer.writerows(rows or [])
+        writer.writerows(normalized)
     return str(path)
 
 
+def _normalize_table_rows(rows) -> List[List[Any]]:
+    if rows is None:
+        return []
+    if hasattr(rows, "values") and hasattr(rows, "columns"):
+        return rows.fillna("").values.tolist()
+    if isinstance(rows, dict):
+        data = rows.get("data") or rows.get("values") or []
+        return data if isinstance(data, list) else []
+    if isinstance(rows, tuple):
+        rows = list(rows)
+    if not isinstance(rows, list):
+        return []
+    out = []
+    for row in rows:
+        if isinstance(row, dict):
+            out.append(list(row.values()))
+        elif isinstance(row, (list, tuple)):
+            out.append(list(row))
+        else:
+            out.append([row])
+    return out
+
+
 @lru_cache(maxsize=1)
 def _predictor() -> AspectPredictor:
     return AspectPredictor(checkpoint_dir=CHECKPOINT_DIR)