@fnet/readme

This project is designed to automate the creation of a README file by analyzing the source code of a project. It leverages OpenAI's language models to generate a README that offers a clear, concise, and honest description of the project's purpose and functionality. The tool aims to save developers time by automating the often time-consuming task of writing documentation, ensuring that it remains straightforward and devoid of any marketing jargon or exaggeration.

How It Works

The project operates through a series of sequential steps that involve reading the project's source code, interacting with OpenAI to generate descriptive content, and then writing this content into a README file. Initially, the tool loads configuration settings and establishes a connection with OpenAI's API. It then retrieves the source code specified by the user, extracts the project title, prepares an AI prompt, and submits this prompt to OpenAI. The response is subsequently processed and saved as a README file, providing an organized view of the project's details and features.

Key Features

• Automated README Generation: Generates a README based on the project's source code, saving you time and effort.
• OpenAI Integration: Uses AI models to ensure the README is well-written and informative.
• Customizable Input: Allows for specific file and title inputs to guide the README creation process.
• Sequential Process: Executes tasks in a logical order to efficiently produce a comprehensive README.

Conclusion

This project is a useful tool for developers looking to streamline the documentation process. By automating the creation of a README, it helps to ensure that project details are clearly communicated without requiring additional effort. This approach is particularly beneficial for those who want to focus more on coding and less on documentation.

Developer Guide for @fnet/readme

Overview

The @fnet/readme library is designed to automate the process of generating clear and concise README files for your projects. By leveraging the capabilities of OpenAI, this library can analyze your project's source code and generate a README that accurately describes your project's purpose and functionality. Its main features include extracting information from project files, preparing and executing prompts using OpenAI, and writing the generated content to a README file.

Installation

To install @fnet/readme, use either npm or yarn:

npm install @fnet/readme

or

yarn add @fnet/readme

Usage

Using @fnet/readme involves setting up a workflow with your project setup, initiating OpenAI API configurations, and allowing the library to generate and save a README file based on your source code.

Here is a basic usage example:

1. Initialize the engine with context and file parameters.
2. Use the run method to start the process.

import ReadmeEngine from '@fnet/readme';

// Initialize engine
const engine = new ReadmeEngine();

// Run the engine with your project specifics
engine.run({
  file: 'path/to/your/source.js', // specify your source file
  title: 'Your Project Title'       // specify a title for your project
}).then(() => {
  console.log('README generation complete.');
}).catch((error) => {
  console.error('Error generating README:', error);
});

Examples

Simple Workflow Execution

This example demonstrates how to set up a simple workflow using @fnet/readme:

import ReadmeEngine from '@fnet/readme';

(async () => {
  try {
    const engine = new ReadmeEngine();
    await engine.run({
      file: 'src/index.js',
      title: 'Sample Project'
    });
    console.log('README generated successfully.');
  } catch (error) {
    console.error('Error:', error);
  }
})();

Handling OpenAI Configuration

The library automatically handles the setup of OpenAI configurations:

import ReadmeEngine from '@fnet/readme';

const engine = new ReadmeEngine();
engine.run({
  file: 'src/index.js',
  title: 'AI Powered README'
}).then(() => {
  console.log('README is ready.');
}).catch((error) => {
  console.error('Failed to generate README:', error);
});

Acknowledgment

This library utilizes OpenAI to generate README content, ensuring the resulting document reflects an honest and straightforward description of the project's main purpose and functionalities.

Input Schema

$schema: https://json-schema.org/draft/2020-12/schema
title: Engine Input Schema
type: object
properties:
  file:
    type: string
    description: File path to be used, fetched from the input parameters.
  title:
    type: string
    description: Title of the fnode, fetched from the input parameters.