50 --> 5

extract_csv_metadata_service.py

@@ -26,7 +26,7 @@ def extract_csv_metadata_logic(csv_url: str) -> List[Dict[str, Any]]:
         # Load a sample of the CSV to infer types (first 50 rows is usually enough)
         # Using on_bad_lines='skip' to be robust against malformed rows
         # storage_options={'User-Agent': ...} can be added if requests are blocked
-        df = pd.read_csv(csv_url, nrows=50, on_bad_lines='skip') 
+        df = pd.read_csv(csv_url, nrows=5, on_bad_lines='skip') 
         
         fields = []