RepoScribe 0.2.2

A lightweight tool to compile project files and directories into a structured Markdown document

RepoScribe

RepoScribe is a basic, lightweight tool for compiling your codebase and directory structure into a structured Markdown document. It is designed to enrich Large Language Models (LLMs) with project-specific context, but it's also highly effective for straightforward navigation and review of code projects or folders. The python package is self-contained, with no external dependencies.

Installation

To install RepoScribe, simply use pip:

pip install RepoScribe

Usage

In the Terminal

RepoScribe can be used directly from your command line. You can run it in your project's root directory to create a Markdown file of the entire project:

reposcribe

This command will generate a reposcribe.md file in the current directory. If you want to specify the root directory of your project and the output file location, you can do so as follows:

reposcribe /path/to/project /path/to/output.md

In a Python File

You can also use RepoScribe programmatically in your Python scripts. Here's a simple usage example:

from reposcribe import create_doc_file

# Generate documentation for the project
project_doc = create_doc_file(root_path='/path/to/project', save_path='/path/to/output.md')

# The `project_doc` variable now contains the Markdown content
print(project_doc)

Features

• Compile entire projects into a single Markdown document.

• Include a detailed file and directory structure.

• Simple and intuitive command-line interface.

• Flexible usage - run in your project's root directory with no arguments or specify paths as needed.

• File Type Filters: Specify a list of file extensions or file names to include or exclude from the documentation.

Planned Features

• Multiple Output Formats: Allow exporting documentation to formats like HTML, PDF, or a Word document.
• Code Syntax Highlighting: Integrate syntax highlighting in the generated Markdown for better readability of code snippets.
• Documenting Non-Code Files: Include a structured summary of non-code files (like images, text files) in the project.
• GitHub Integration: Generate documentation by specifying a public GitHub repository.
• Dependency Graphs: Generate visual dependency graphs for the project, showing how different files and modules are interconnected.