Added filter to flags dropdown menu, now only invalid flags are displayed.

data_flagging_app.py

@@ -28,7 +28,6 @@ import dima.src.hdf5_ops as hdf5_ops
 #filereader_registry.file_extensions.append('.json') 
 #filereader_registry.file_readers.update({'ACSM_TOFWARE_flags_json' : lambda x: flag_reader.read_jsonflag_as_dict(x)})
 
-
 # Initialize Dash app with Bootstrap theme
 app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
 
@@ -60,7 +59,7 @@ app.layout = dbc.Container([
                 }),
                 dcc.Dropdown(
                 id='flag-options',
-                options=data_flagging_utils.dropdown_menu_options,
+                options= data_flagging_utils.filter_flags_by_label(data_flagging_utils.flags_dict,'I'), # displays only flags to invalidate
                 )],
                 width=12
         ),
@@ -309,6 +308,6 @@ def commit_flag(n_clicks,flag_value,selected_Data, data):
             #data = [json_flagsobject[key] for key in json_flagsobject.keys()] 
 
     return data
-if __name__ == '__main__':
-    app.run_server(debug=True)
 
+if __name__ == '__main__':
+    app.run_server(debug=True, use_reloader=False)

data_flagging_utils.py

@@ -26,8 +26,6 @@ flags_dict = {
         "999" : {"flag_label": 'I', "flag_description": "Missing measurement, unspecified reason"}
         }
 
-dropdown_menu_options = [{'label': flags_dict[key]['flag_description'], 'value': key} for key in flags_dict.keys()]
-
 def save_file(name, content):
     # Decode the content and save the file
     content_type, content_string = content.split(',')
@@ -37,6 +35,23 @@ def save_file(name, content):
         f.write(decoded)
     return file_path
 
+def filter_flags_by_label(flags_dict, label):
+    """
+    Filters the flags dictionary by the specified label.
+
+    Parameters:
+    -----------
+        flags_dict (dict): The dictionary containing flags.
+        label (str): The label to filter by ('I' or 'V').
+
+    Returns:
+    --------
+        list: A list of dictionaries with 'label' and 'value' for the specified label.
+    """
+    return [{'label': value['flag_description'], 'value': code} 
+            for code, value in flags_dict.items() if value['flag_label'] == label]
+
+
 def create_loaded_file_figure(file_path, instfolder):
 
     DataOpsAPI = h5de.HDF5DataOpsManager(file_path)
@@ -165,7 +180,12 @@ class FlaggingAppDataManager():
                 flag_obj = file_obj[f'{instFolder}_flags'][flag]['data_table']
 
                 # Replace values indicated by flag NaN if flag label refers to invalidated data.
-                if flag_obj['flag_label'][0].decode() == 'I':
+                if not flag_obj['flag_code'][0].decode() is 'None':
+                    flag_label = ''
+                else:
+                    flag_label = flag_obj['flag_label'][0].decode()
+
+                if flag_label == 'I':
                     t1 = pd.to_datetime(flag_obj['startdate'][0].decode(), format=flag_datetime_format)
                     t2 = pd.to_datetime(flag_obj['enddate'][0].decode(), format=flag_datetime_format)
 
@@ -201,7 +221,7 @@ class FlaggingAppDataManager():
 
         except Exception as e:
             self._data_ops_obj.unload_file_obj()
-            print(f"An unexpected error occurred: {e}."
+            print(f"An unexpected error occurred: {e}"
                    "The file object has been properly closed.")