Prepare CSV files with GPT-4

This workflow is ideal for:

• Data Analysts looking to generate mock user data for testing purposes.
• Developers who need random user data for application development.
• Marketers wanting to simulate user profiles for campaign analysis.
• Educators seeking to demonstrate data processing and CSV generation in their curriculum.

This workflow addresses the need for generating random user data in a structured format, specifically:

• It automates the creation of a JSON array of users with unique names derived from famous fictional characters.
• It ensures that user subscription data is randomized and formatted correctly, which is essential for testing and analysis.

1. Manual Trigger: The workflow starts when the user clicks "Execute Workflow".
2. OpenAI Integration: It sends a request to OpenAI's GPT-4 model to generate a list of 10 random users based on specified criteria, ensuring the output is a single line JSON array.
3. Split in Batches: The generated data is split into manageable batches for further processing.
4. Parse JSON: Each batch is parsed to extract user information into a structured format for easier manipulation.
5. Make JSON Table: Converts the parsed data into a format suitable for CSV conversion.
6. Convert to CSV: The structured data is converted into CSV format, with filenames dynamically generated to avoid overwriting.
7. Strip UTF BOM bytes: Ensures that any unwanted BOM bytes are removed from the CSV file for compatibility.
8. Create Valid Binary: The CSV data is converted to a binary format for saving.
9. Save to Disk: Finally, the binary CSV files are saved to the specified directory, ensuring that all data is stored correctly.