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Autogenerate CHANGELOG/release notes from git history

Project description

doculog

README generated with Documatic.

Quickly generate changelogs and release notes by analysing your git history. A python tool which works on any language.

Getting started

Requirements

  • python >= 3.8
  • git
  • good* commit messages

Minimum python 3.8. Project actively supports python 3.8, 3.9, 3.10. To install, clone the repository and run pip install -e . to package locally OR pip install doculog.

Doculog works by reading git commit messages and inferring what changes are being made. It assumes that you are writing your commit messages as actions: e.g. "Add some feature", "Fix a particular bug". While it's good practice to have the action in the present, imperitive tense, doculog accepts past verbs. Standard doculog looks through a list of expected verbs (open an issue/contribute a PR if there are some missing!), but the extended version includes additional logic for classifying commit message, which allows you to be more lax with your commit messages.

API key

To generate a changelog with a full feature-set, doculog requires a (free) API key. Join the waitlist for an API key here. doculog uses python-dotenv to load environment variables stored in a .env file. To use your API key, create a .env file in your project root directory with the following fields:

DOCULOG_API_KEY = <your-api-key>

IMPORTANT: DO NOT ADD .env TO VERSION CONTROL. YOUR API KEY MUST BE KEPT SECRET.

Generate a Changelog

In a terminal, run doculog to create a CHANGELOG.md from your git commit history, or update an existing changelog. See configuration for information on how to configure the changelog.

Concepts

Git commit parsing

The initial logic for generating a changelog comes from reading your git commit messages. doculog expects commit messages to begin with an imperitive verb, and to written passively. doculog parses the message for signalling words and phrases.

E.g. Rename 'my_func' to 'my_awesome_func' will get interpreted as a "Changed" feature. Whereas 'my_func' -> 'my_awesome_func' will not.

Configuration

You can configure how doculog runs by adding a tool.doculog section to pyproject.toml.

Field Purpose Required Default value
changelog Name of changelog file generated. ".md" suffix added if not present. No CHANGELOG.md
local If true, use a local sever for advanced features. Only used for project development No false

Developers

Read the contributing guide for information on coding styles and workflow.

Run pip install -r requirements-dev.txt to get developer requirements.

CI file Purpose
test.yml Linting and unit testing. Runs on every pull request

FAQ

I want more intelligent featureset generation. What can I do?

Request access to the free Documatic API to generate a changelog driven by machine learning. Follow Documatic on GitHub and socials to stay up to date with the latest features and releases.

The changelog is great, but I want more.

Get in touch.

Can I contribute to doculog?

Absolutely: feature requests, bug fixes, bug reports and PRs of all shapes and sizes are welcome. See the developers section.

License

Licensed under GNU GPL3. Please see the [LICENSE] for terms in full.

Generated by Documatic.

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