Skip to main content

A tool for collecting and documenting code for LLM context

Project description

Viterbo

A tool for collecting and documenting code files for LLM context.

Overview

Viterbo helps collect source code files from various languages and compile them into a readable format for inclusion in LLM prompts. It scans directories and individual files, extracts structured information like docstrings and comments, and generates comprehensive documentation in text or markdown format.

Features

  • Multiple input sources: Process directories and specific files in a single command
  • Multi-language support: Python, C/C++, R, JavaScript, TypeScript, and many other languages
  • Directory tree visualization: Shows the structure of your codebase
  • Documentation extraction: Extracts docstrings, comments, and code structure
  • Output formats: Generate documentation in plain text or markdown
  • README inclusion: Optionally include README.md files in the documentation
  • Line numbering: Add line numbers to code for easy reference
  • Organized output: Collects code with clear section headers showing file paths
  • Clipboard support: Copy output directly to clipboard for easy pasting

Installation

# Install with Poetry
poetry install

# Or using pip
pip install viterbo

For clipboard functionality, make sure to install the required dependency:

# Using Poetry
poetry add pyperclip

# Or with pip
pip install pyperclip

Usage

Command Line

# Basic usage - copy Python files to clipboard
viterbo source_directory

# Process specific files and copy to clipboard
viterbo file1.py file2.py file3.py

# Process mixed directories and files
viterbo src/ utils.py config/ main.py

# Save to output file with -o/--output-file flag
viterbo source_directory -o output.txt

# Multiple sources with output file
viterbo src/ lib/ main.py --output-file doc.txt

# Enhanced usage with multi-language support
viterbo /path/to/source -o output.txt --extensions .py .cpp .h .R

# Include README.md files
viterbo /path/to/source --include-readme -o output.txt

# Extract and include docstrings/comments
viterbo /path/to/source --include-docstrings -o output.txt

# Add line numbers to code
viterbo /path/to/source --add-line-numbers -o output.txt

# Generate markdown output
viterbo /path/to/source main.py -o output.md --format md

Python API

from viterbo import document_files

# Document Python and C++ files in markdown format
document_files(
    source_paths=["/path/to/source", "main.py", "/another/dir"],
    output_file="output.md",
    file_extensions=[".py", ".cpp", ".h"],
    include_readme=True,
    include_docstrings=True,
    add_line_numbers=True,
    output_format="md"
)

# Copy to clipboard instead of writing to a file
document_files(
    source_paths=["src/", "main.py", "config.py"],
    output_file=None,  # None means copy to clipboard
    file_extensions=[".py", ".js"],
    include_docstrings=True
)

# For backward compatibility, the original function is still available
from viterbo import document_python_files

document_python_files(
    source_paths="/path/to/source",  # Either a string or list of paths
    output_file="output.txt",  # or None for clipboard
    include_docstrings=True,
    add_line_numbers=True
)

Output Examples

Text Output

# Code Documentation
# Generated on: 2025-05-01 10:21:33
# Sources: 3 directories/files
#   1. /path/to/source
#   2. main.py
#   3. /another/dir

# Directory Structure:
/path/to/source/
├── README.md
├── src/
│   ├── main.py
│   └── utils.py
└── tests/
    └── test_main.py

main.py

/another/dir/
├── config.py
└── helpers.py
...

Markdown Output

The markdown output includes syntax highlighting and better formatting for documentation.

Clipboard Support

When no output file is specified, Viterbo will copy the documentation to your system clipboard:

# Copy documentation to clipboard
viterbo ./my_project --include-docstrings

This is especially useful when:

  • Quickly retrieving code for pasting into an LLM interface
  • Sharing code snippets in messaging apps
  • Documenting code without creating temporary files

Development

# Clone the repository
git clone https://github.com/pboerr/viterbo.git
cd viterbo

# Install development dependencies
poetry install

# Running tests
poetry run pytest

# Building the package
poetry build

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

viterbo-0.3.0.tar.gz (18.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

viterbo-0.3.0-py3-none-any.whl (22.1 kB view details)

Uploaded Python 3

File details

Details for the file viterbo-0.3.0.tar.gz.

File metadata

  • Download URL: viterbo-0.3.0.tar.gz
  • Upload date:
  • Size: 18.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.3 Linux/6.11.0-24-generic

File hashes

Hashes for viterbo-0.3.0.tar.gz
Algorithm Hash digest
SHA256 701679f8efcd1811186b6be256e3b8e5cce3ee6d5d76deb63e6c55912d678622
MD5 4d64481185d75ce6876f1e6b541b6db4
BLAKE2b-256 7463f2397a8dcd37da56f63fdbf3fa71f5630c9af407ff087ac9e65691a0aeb2

See more details on using hashes here.

File details

Details for the file viterbo-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: viterbo-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 22.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.3 Linux/6.11.0-24-generic

File hashes

Hashes for viterbo-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e2dff73155a6ea877d544d175e87fdbb8561c005b0290d43758a0a05fc6be636
MD5 ef75d633cf5deb7d4ec3ae9c54d584ea
BLAKE2b-256 8fcd78433db4c4a36ef570c3ba9dea9e5fcaee20874db64211c28abb1cd4d135

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page