fixed minor typos

Author: ReboreExplore

lslautobids/dataverse_dataset_create.py

@@ -63,7 +63,7 @@ def create_dataverse(project_name):
     toml_path = os.path.join(project_root,project_name,project_name+'_config.toml')
 
     data = read_toml_file(toml_path)
-    pid = data['Dataverse']['pid']
+    pid = data['DataverseDataset']['pid']
 
     if pid.lower() in pids_resp1:
         flag=1
@@ -72,8 +72,9 @@ def create_dataverse(project_name):
     else:
         logger.info('Creating the dataset........')
         resp = api.create_dataset(parent_dataverse_name, ds.json())
+        logger.info(f"Full response: {resp.json()}")
         logger.info(f"Dataset created with PID: {resp.json()['data']['persistentId']}")
-   
+        
         # Modify field
         data['DataverseDataset']['title']=ds_title 
         data['DataverseDataset']['pid']= resp.json()['data']['persistentId']

lslautobids/gen_project_config.py

@@ -7,7 +7,6 @@
 toml_content = """
   # This is the project configuration file - This configuration can be customized for each project
   
-  # The authors info field will have information about the creators of the dataset
   [AuthorsInfo]
     authors = "John Doe, Lina Doe" # List of authors separated by commas
     affiliation = "University of Stuttgart, University of Stuttgart" # Affiliation of the authors in the same order as authors
@@ -25,8 +24,9 @@
     expectedStimFiles = [".edf", ".csv", "_labnotebook.tsv", "_participantform.tsv"] # List of expected stimulus file extensions. Only the expected files will be copied to the beh folder in BIDS dataset. Give an empty list [] if you don't want any stimulus files to be in the dataset. In this case only experiment files will be zipeed and copied to the misc folder in BIDS dataset.
   
   [SubjectInfo]
-    ignoreSubjects = ['sub-999'] # List of subjects to ignore during the conversion - Leave empty to include all subjects. Changing this value will not delete already existing subjects.
-    excludeTasks = ['freeviewing'] # List of tasks to exclude from the conversion for all subjects - Leave empty to include all tasks. Changing this value will not delete already existing tasks.
+    ignoreSubjects = ['sub-777'] # List of subjects to ignore during the conversion - Leave empty to include all subjects. Changing this value will not delete already existing subjects.
+    allTasks = [] # List of all possible tasks in the dataset. This will automatically be updated when new tasks are found during the conversion.
+    excludeTasks = ['sampletask'] # List of tasks to exclude from the conversion for all subjects - Leave empty to include all tasks. Changing this value will not delete already existing tasks.
     anonymizationNumber = 123 # This is an anomization number that will be added to the recording date of all subjects.
     
   """

lslautobids/processing_new_files.py

@@ -49,13 +49,13 @@ def process_new_files(file_status: List[str],logger) -> None:
     toml_path = os.path.join(project_path, project_name + '_config.toml')
     data = read_toml_file(toml_path)
 
-    existing_tasks = set(data.get('Tasks', {}).get('tasks', []))
+    existing_tasks = set(data.get('SubjectInfo', {}).get('allTasks', []))
 
     # Add only new tasks
     updated_tasks = list(existing_tasks.union(tasks))
 
     # Save updated task list back to the config
-    data['Tasks']['tasks'] = updated_tasks
+    data['SubjectInfo']['allTasks'] = updated_tasks
     write_toml_file(toml_path, data)
 
     # User prompt asking if we want to proceed to convert and upload