Skip to main content

A tool for ensuring your strucuredText files are (more) syntactically correct

Project description

rstbuddy

A Python command-line tool for working with reStructuredText (RST) files. Provides comprehensive link validation, RST file cleaning and fixing, and optional AI-powered summarization capabilities.

Core Features

RST Link Checking

  • External HTTP(S) links with concurrent checking and robots.txt support
  • Sphinx cross-references (:ref:, :doc:)
  • Directive paths (include, literalinclude, download, image, figure, thumbnail)
  • Smart scanning that ignores code blocks while preserving admonitions

RST File Cleaning & Fixing

  • Markdown to RST conversion (headings, code blocks, inline code)
  • Heading normalization and list spacing fixes
  • Code block and directive formatting
  • Stray Markdown fence removal

AI-Powered Summarization (Optional)

  • RST to Markdown conversion using Pandoc
  • AI summary generation with OpenAI API
  • Requires OpenAI API key configuration

Quick Start

Requirements

  • Python 3.11 or later
  • Pandoc (optional, for AI summarization)
  • OpenAI API key (optional, for AI summarization)

Installation

# Install
pip install rstbuddy

# With uv
uv tool -p 3.13 install rstbuddy

Usage

# Check all links in default doc/source directory
rstbuddy check-links

# Fix formatting issues in an RST file
rstbuddy fix document.rst

# Generate AI summary (requires OpenAI API key)
rstbuddy summarize document.rst

# Show help
rstbuddy --help

Commands

  • check-links: Validate external URLs, internal references, and file paths
  • fix: Clean and fix RST formatting issues, convert Markdown constructs
  • summarize: Generate AI-powered summaries (requires OpenAI API key)
  • settings: Display current configuration settings
  • version: Display version info for important packages used by rstbuddy (for bug reports)

Common Use Cases

  • Documentation Maintenance: Validate links and fix formatting before publishing
  • Quality Assurance: Check for broken references and maintain consistent RST formatting
  • Content Migration: Convert Markdown to RST and fix common formatting issues

Documentation

For detailed usage, configuration, and troubleshooting, see the full documentation.

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

rstbuddy-0.2.1.tar.gz (62.7 kB view details)

Uploaded Source

Built Distribution

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

rstbuddy-0.2.1-py3-none-any.whl (132.5 kB view details)

Uploaded Python 3

File details

Details for the file rstbuddy-0.2.1.tar.gz.

File metadata

  • Download URL: rstbuddy-0.2.1.tar.gz
  • Upload date:
  • Size: 62.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.10

File hashes

Hashes for rstbuddy-0.2.1.tar.gz
Algorithm Hash digest
SHA256 6a3f5f7fb718d799060447a920ff0c65ca769cfc7a3b7db44eae786e302c8d75
MD5 2a7dc65df5119e483f0719667446b2ec
BLAKE2b-256 20fa75975db02788fb094fed810147b781ccbe777669eb2d7dc0950839b46809

See more details on using hashes here.

File details

Details for the file rstbuddy-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: rstbuddy-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 132.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.10

File hashes

Hashes for rstbuddy-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9773406da8f70cfbc4f70e924c12e2ce1c710226784d032129f4080813e0808c
MD5 9f63da32060175d4a0c7d1d0a8b79471
BLAKE2b-256 3dc597c7001662d2e192642a31de4104b61c24d349801c6aa2b1fa9a526c8797

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