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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.
- The workflow starts manually when triggered.
- 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.
- Split In Batches Node: This node processes each OpenAI response individually.
- Parse JSON Node: Converts the response from the OpenAI node (in string format) into a JSON object.
- Make JSON Table Node: Converts the JSON data into a tabular format for easier data handling in the next steps.
- Convert to CSV Node: Transforms the tabular data into CSV format and assigns a file name.
- 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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