@fnet/howto
v0.1.17
Published
## Introduction
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@fnet/howto
Introduction
The @fnet/howto project is aimed at providing a streamlined process to generate developer guides for npm libraries using OpenAI's language model. By analyzing the library's source code and leveraging OpenAI's GPT models, this tool helps create detailed yet straightforward documentation for developers. The project assists users in obtaining clear, structured guides without delving into complex coding or intricate setups.
How It Works
The @fnet/howto project works by following a multi-step workflow:
- Source Code Retrieval: It retrieves the source code of an npm library from the local environment.
- OpenAI Configuration: Configures OpenAI's API using stored keys to facilitate interaction with the language model.
- Prompt Preparation: Formulates a detailed prompt tailored for generating documentation.
- Execution: Sends the prompt to OpenAI's model and retrieves the generated content.
- Documentation Creation: Saves the generated guide as a markdown file for easy access and use.
Key Features
- Automated Documentation Generation: Automatically generates developer guides based on source code analysis.
- Integration with OpenAI: Utilizes OpenAI's capabilities to generate coherent and context-relevant content.
- Structured Workflow: Follows a defined process that ensures consistency and reliability in output.
- Customizable Prompts: Prepares and executes prompts that can be customized to fit different documentation needs.
- File Handling and Storage: Manages file storage efficiently by saving the generated content in a specified folder.
Conclusion
The @fnet/howto project provides a practical and efficient solution for generating developer documentation for npm libraries. By automating the process and leveraging the power of OpenAI, it helps developers save time and ensure their documentation is both clear and comprehensive.
Developer Guide for @fnet/howto
Overview
The @fnet/howto
library is designed to facilitate the generation of developer guides for npm libraries. It leverages OpenAI's API to create documentation that clearly explains the core functionality of a library. This is accomplished by integrating a workflow that processes source files and creates structured, simple, and informative guides for developers.
Installation
To install the @fnet/howto
library, use npm or yarn:
npm install @fnet/howto
or
yarn add @fnet/howto
Usage
The primary use of the library is to automate the generation of developer guides. The process involves setting up a workflow that incorporates OpenAI API for generating content based on provided source data. Below is a step-by-step guide demonstrating how to utilize this library:
Step 1: Initialize the Engine
Start by importing the Engine class from @fnet/howto
and initializing it:
import HowtoEngine from '@fnet/howto';
const engine = new HowtoEngine();
Step 2: Execute the Workflow
Run the engine with the specific parameters you wish to process. Typically, parameters may include a specific file for which you want to generate documentation:
async function generateGuide() {
try {
const result = await engine.run({
file: 'path/to/your/source/file.js',
title: 'Your NPM Package Name'
});
console.log('Guide generated successfully:', result);
} catch (error) {
console.error('Failed to generate guide:', error);
}
}
generateGuide();
Step 3: Review and Use the Output
After executing the workflow, the generated documentation will be saved to the specified directory or output. You can then review and distribute this guide as needed.
Examples
The following example demonstrates a simple workflow using @fnet/howto
:
import HowtoEngine from '@fnet/howto';
// Initialize the engine
const engine = new HowtoEngine();
// Define async function to execute the process
async function runHowtoGeneration() {
try {
// Run the engine with parameters
await engine.run({
file: './lib/index.js',
title: 'Example NPM Package'
});
console.log('Documentation generated successfully!');
} catch (e) {
console.error('Error during documentation generation:', e);
}
}
// Execute the function
runHowtoGeneration();
Acknowledgement
The @fnet/howto
library integrates the OpenAI API for content generation, ensuring high-quality and informative documentation outputs.
Input Schema
$schema: https://json-schema.org/draft/2020-12/schema
type: object
properties:
file:
type: string
description: The file path to be processed
title:
type: string
description: The title of the project or module