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.

Related packages

  • restructuredtext-lint: This seems to be for when you want to write your README in RestructuredText, and want to ensure that PyPI will process it properly for you without errors. So it has a bunch of thing in it that we don't need for uploading to readthedocs, but definitely check it out. Note that it is a linter, not a fixer like this package is.

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-0.3.0.tar.gz (74.1 kB view details)

Uploaded Source

Built Distribution

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

rstbuddy-0.3.0-py3-none-any.whl (81.3 kB view details)

Uploaded Python 3

File details

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

File metadata

  • Download URL: rstbuddy-0.3.0.tar.gz
  • Upload date:
  • Size: 74.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.10

File hashes

Hashes for rstbuddy-0.3.0.tar.gz
Algorithm Hash digest
SHA256 c1e67b0ac080d7617ba4ce0d659506b246de40adfa7d1477152465ff8c5d28a0
MD5 0ca81f9c67beb309cd63ab5c911aeedb
BLAKE2b-256 6ba0783328436f56f8767aed304fe521534f694263feea936c7fce6bde540e12

See more details on using hashes here.

File details

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

File metadata

  • Download URL: rstbuddy-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 81.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.10

File hashes

Hashes for rstbuddy-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a60041fd4f86802673ae44ac2a75278a933ad39d1fc7fa015c7741c168feeb7f
MD5 2c1d5e15b703d26ac803b79f6d32b3e8
BLAKE2b-256 02b060536d355e2bf691920625f74a6c97d80e7ee4dc90809cccc3f020bdd459

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