This introduces an uglt regression.

crudkit/core/params.py

@@ -0,0 +1,16 @@
+def is_truthy(val) -> bool:
+    return str(val).lower() in ('1', 'true', 'yes', 'on')
+
+def normalize_fields_param(params: dict | None) -> list[str]:
+    if not params:
+        return []
+    raw = params.get("fields")
+    if isinstance(raw, (list, tuple)):
+        out: list[str] = []
+        for item in raw:
+            if isinstance(item, str):
+                out.extend([p for p in (s.strip() for s in item.split(",")) if p])
+        return out
+    if isinstance(raw, str):
+        return [p for p in (s.strip() for s in raw.split(",")) if p]
+    return []