Skip to main content

A utilty to flatten your source code directory into a single file for LLM usage

Project description

flort

flort is a command-line tool for generating a single file with the contents of your code directories.. for use in LLMs.

Installation

You can install flort via pip:

pip install flort

Usage

flort provides various options for listing and cleaning up files in a directory.

flort <directory_path> [--compress] [--output <output_file>] [--php] [--js] [--py] [--c] [--cpp] [--no-tree]

Options

  • --compress: Clean up files by removing unnecessary whitespace (optional).
  • --output: Specify the output file path (default: stdout).
  • --php, --js, --py, --c, --cpp: Include specific file types in the listing (optional).
  • --no-tree: Do not print the directory tree at the beginning of the output (optional).

Examples

List files in a directory and include PHP files:

flort /path/to/directory --php

Clean up files in a directory and save the output to a file:

flort /path/to/directory --compress --output output.txt

List files in a directory, include JavaScript and Python files, and do not print the directory tree:

flort /path/to/directory --js --py --no-tree

License

This project is licensed under the BSD 3-Clause License - see the LICENSE file for details.

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

flort-0.1.6.tar.gz (4.2 kB view details)

Uploaded Source

File details

Details for the file flort-0.1.6.tar.gz.

File metadata

  • Download URL: flort-0.1.6.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.6

File hashes

Hashes for flort-0.1.6.tar.gz
Algorithm Hash digest
SHA256 f93826bf39413f8ac69813e8451f76c22c6bd18bfb652c80de07955774608700
MD5 366eec203cb7c64d8f2d229b3e18a01c
BLAKE2b-256 bf3c5cc037692c5dc042c5fceff658561d29cefc0337d456ab161a9dc7fb72e3

See more details on using hashes here.

Supported by

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