From 83cec97e8363f7a24f5522ecdb55ff1c5b6b6af4 Mon Sep 17 00:00:00 2001
From: Florez Ospina Juan Felipe <juan.florez-ospina@psi.ch>
Date: Sat, 7 Jun 2025 19:14:53 +0200
Subject: [PATCH] Fix bug instruments/readers/structured_file_reader.py.
 pd.to_dict return a list of dicts so we need to handle each item seprately
 using a loop.

---
 instruments/readers/structured_file_reader.py | 26 ++++++++++---------
 1 file changed, 14 insertions(+), 12 deletions(-)

diff --git a/instruments/readers/structured_file_reader.py b/instruments/readers/structured_file_reader.py
index 5c16281..094c6ab 100644
--- a/instruments/readers/structured_file_reader.py
+++ b/instruments/readers/structured_file_reader.py
@@ -53,20 +53,22 @@ def read_structured_file_as_dict(path_to_file):
         logging.error("Failed to normalize data structure: %s", exc)
         raise
 
-    try:
-        structured_array = utils.convert_attrdict_to_np_structured_array(df.to_dict(orient='records'))
-    except Exception as exc:
-        logging.error("Failed to convert to structured array: %s", exc)
-        raise
+    for item_idx, item in enumerate(df.to_dict(orient='records')):
+        try:
+            structured_array = utils.convert_attrdict_to_np_structured_array(item)
+        except Exception as exc:
+            logging.error("Failed to convert to structured array: %s", exc)
+            raise
 
-    dataset = {
-        'name': 'data_table',
-        'data': structured_array,
-        'shape': structured_array.shape,
-        'dtype': type(structured_array)
-    }
+        dataset = {
+            'name': f'data_table_{item_idx}',
+            'data': structured_array,
+            'shape': structured_array.shape,
+            'dtype': type(structured_array)
+        }
 
-    file_dict['datasets'].append(dataset)
+        file_dict['datasets'].append(dataset)
+        
     return file_dict
 
 if __name__ == "__main__":