Integrations
OpenAI
Edit Fields (Set)
Loop Over Items (Split in Batches)
Spreadsheet File
Item Lists

This workflow generates CSV files with a list of 10 random users, each with specific characteristics, using OpenAI's GPT-4 model. It then splits this data into batches, converts it to CSV format, and saves it to disk for further use.

     
  1. The workflow starts manually when triggered.
  2.  
  3. OpenAI Node: This node uses the OpenAI API to generate random user data. The input prompt requests a list of 10 random users with specified attributes, such as a name and surname starting with the same letter, a subscription status, and a subscription date (for subscribed users). A one-shot prompt provides an example of the JSON object structure.
  4.  
  5. Split In Batches Node: This node processes each OpenAI response individually.
  6.  
  7. Parse JSON Node: Converts the response from the OpenAI node (in string format) into a JSON object.
  8.  
  9. Make JSON Table Node: Converts the JSON data into a tabular format for easier data handling in the next steps.
  10.  
  11. Convert to CSV Node: Transforms the tabular data into CSV format and assigns a file name.
  12.  
  13. Save to Disk Node: Saves the generated CSV file to disk in the ".rantir" directory.

The workflow is designed in a loop, returning to the "Split In Batches" node to continue processing OpenAI output until all batches are complete.

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