Absent workerID

Comments

• Daniel

  May 2020

  Hi @Jasper,

  The workerId is now added in a separate data structure called 'context'. If you look at the data for a single participant, you can see that it has the following (json) structure:

  {
     data: [ /* OpenSesame trial data */ ],
     context: { /* Jatos specific data */ }
  }
  

  Sadly the function inside opensesame that converts Jatos data to a tabular format (excel or csv) doesn't take this context section in to account yet. That being said, the data stored in Jatos should now be valid json, so you could for instance use this script to easily extract Opensesame's data and the context data:

  import json
  import pandas as pd
  
  # Read jatos data and convert it to json
  with open('jatos_results_20200514114136.txt') as fp:
      jsonData = json.load(fp)
  
  # Convert opensesame data and context data to dataframes
  os_data = pd.DataFrame(jsonData['data'])
  
  # Save to excel (or csv)
  os_data.to_excel('os_data.xlsx') # or user .to_csv()
  with open('context.json') as fp:
     json.dump(jsonData['data'], fp)
  

  
• JasperdeWaard

  May 2020

  Thanks for your reply!
• Daniel

  May 2020

  I forgot to add the modes to open() calls, which should be "r" for the first and "w+" for the second