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Prepare CSV Files with GPT-4

This workflow utilizes the GPT-4 model to automatically generate fictional user data and convert it into multiple structured CSV files for local storage. It addresses the need for simulating user data generation and intelligently splits and formats complex JSON data. Additionally, it specifically handles the UTF BOM byte issue in CSV files, ensuring compatibility and readability for subsequent use, making it particularly suitable for software development, testing, and data analysis scenarios.

Workflow Diagram
Prepare CSV Files with GPT-4 Workflow diagram

Workflow Name

Prepare CSV Files with GPT-4

Key Features and Highlights

This workflow leverages OpenAI's GPT-4 model to automatically generate a list of user data containing fictional characters. The data is then split and processed into multiple structured CSV files, which are ultimately saved to the local disk. Special handling is implemented for the UTF BOM bytes at the beginning of the CSV files to ensure compatibility and readability.

Core Problems Addressed

  • Automatically generating high-quality simulated user data for testing and demonstration purposes.
  • Intelligently splitting complex JSON-formatted data and batch converting it into CSV files.
  • Resolving CSV file format compatibility issues, such as interference from UTF BOM bytes, to guarantee smooth subsequent data reading.

Use Cases

  • When bulk simulated user data is needed during software development and testing.
  • Quickly generating multiple CSV data files for import, analysis, or sharing.
  • Scenarios requiring strict control over file encoding and format in data processing workflows.
  • Automated workflows that combine AI-generated content with automatic formatting and output.

Main Workflow Steps

  1. Manually trigger the workflow execution.
  2. Call the OpenAI GPT-4 model to generate a JSON string containing 10 random fictional user records, including username, email, subscription status, and subscription date.
  3. Parse the generated JSON string into a data structure.
  4. Use the “Split In Batches” node to split the data item-by-item for batch processing.
  5. Convert the split data into a tabular list format.
  6. Transform the tabular data into CSV files.
  7. Handle the UTF BOM bytes in the CSV files to prevent file reading issues.
  8. Generate properly formatted binary file content.
  9. Save the CSV files to a specified path on the local disk.

Systems and Services Involved

  • OpenAI GPT-4 API: for generating simulated user data.
  • Built-in n8n nodes: including Manual Trigger, JSON Parsing, Data Splitting, Table Processing, CSV Conversion, Binary Data Handling, and File Writing nodes.

Target Users and Value

  • Software testers and developers who need to quickly generate test data.
  • Data analysts and product managers for simulating user behavior and data presentation.
  • Automation workflow designers seeking easy integration of AI-generated content with data processing.
  • Any users requiring fast bulk generation, formatting, and storage of structured data.

This workflow offers users a convenient, flexible, and intelligent solution for CSV file generation by combining AI content creation with file format handling, significantly improving the efficiency of data preparation and processing.