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Please read the contribution guidelines below, before submitting your first pull request to the InvenTree codebase.
Setup
Please run invoke setup-dev
in the root directory of your InvenTree code base to set up your development setup before starting to contribute. This will install and set up pre-commit to run some checks before each commit and help reduce the style errors.
Branches and Versioning
InvenTree roughly follow the GitLab flow branching style, to allow simple management of multiple tagged releases, short-lived branches, and development on the main branch.
Version Numbering
InvenTree version numbering follows the semantic versioning specification.
Master Branch
The HEAD of the "main" or "master" branch of InvenTree represents the current "latest" state of code development.
- All feature branches are merged into master
- All bug fixes are merged into master
No pushing to master: New featues must be submitted as a pull request from a separate branch (one branch per feature).
Feature Branches
Feature branches should be branched from the master branch.
- One major feature per branch / pull request
- Feature pull requests are merged back into the master branch
- Features may also be merged into a release candidate branch
Stable Branch
The HEAD of the "stable" branch represents the latest stable release code.
- Versioned releases are merged into the "stable" branch
- Bug fix branches are made from the "stable" branch
Release Candidate Branches
- Release candidate branches are made from master, and merged into stable.
- RC branches are targetted at a major/minor version e.g. "0.5"
- When a release candidate branch is merged into stable, the release is tagged
Bugfix Branches
- If a bug is discovered in a tagged release version of InvenTree, a "bugfix" or "hotfix" branch should be made from that tagged release
- When approved, the branch is merged back into stable, with an incremented PATCH number (e.g. 0.4.1 -> 0.4.2)
- The bugfix must also be cherry picked into the master branch.
Environment
Target version
We are currently targeting:
Name | Minimum version |
---|---|
Python | 3.9 |
Django | 3.2 |
Auto creating updates
The following tools can be used to auto-upgrade syntax that was depreciated in new versions:
pip install pyupgrade
pip install django-upgrade
To update the codebase run the following script.
pyupgrade `find . -name "*.py"`
django-upgrade --target-version 3.2 `find . -name "*.py"`
Credits
If you add any new dependencies / libraries, they need to be added to the docs. Please try to do that as timely as possible.
Migration Files
Any required migration files must be included in the commit, or the pull-request will be rejected. If you change the underlying database schema, make sure you run invoke migrate
and commit the migration files before submitting the PR.
Note: A github action checks for unstaged migration files and will reject the PR if it finds any!
Unit Testing
Any new code should be covered by unit tests - a submitted PR may not be accepted if the code coverage for any new features is insufficient, or the overall code coverage is decreased.
The InvenTree code base makes use of GitHub actions to run a suite of automated tests against the code base every time a new pull request is received. These actions include (but are not limited to):
- Checking Python and Javascript code against standard style guides
- Running unit test suite
- Automated building and pushing of docker images
- Generating translation files
The various github actions can be found in the ./github/workflows
directory
Code Style
Sumbitted Python code is automatically checked against PEP style guidelines. Locally you can run invoke style
to ensure the style checks will pass, before submitting the PR.
Please write docstrings for each function and class - we follow the google doc-style for python. Docstrings for general javascript code is encouraged! Docstyles are checked by invoke style
.
Documentation
New features or updates to existing features should be accompanied by user documentation. A PR with associated documentation should link to the matching PR at https://github.com/inventree/inventree-docs/
Translations
Any user-facing strings must be passed through the translation engine.
- InvenTree code is written in English
- User translatable strings are provided in English as the primary language
- Secondary language translations are provided via Crowdin
Note: Translation files are updated via GitHub actions - you do not need to compile translations files before submitting a pull request!
Python Code
For strings exposed via Python code, use the following format:
from django.utils.translation import ugettext_lazy as _
user_facing_string = _('This string will be exposed to the translation engine!')
Templated Strings
HTML and javascript files are passed through the django templating engine. Translatable strings are implemented as follows:
{% load i18n %}
<span>{% trans "This string will be translated" %} - this string will not!</span>
Github use
Tags
The tags describe issues and PRs in multiple areas:
Area | Name | Description |
---|---|---|
Type Labels | ||
bug | Identifies a bug which needs to be addressed | |
dependency | Relates to a project dependency | |
duplicate | Duplicate of another issue or PR | |
enhancement | This is an suggested enhancement or new feature | |
help wanted | Assistance required | |
invalid | This issue or PR is considered invalid | |
inactive | Indicates lack of activity | |
question | This is a question | |
roadmap | This is a roadmap feature with no immediate plans for implementation | |
security | Relates to a security issue | |
starter | Good issue for a developer new to the project | |
wontfix | No work will be done against this issue or PR | |
Feature Labels | ||
API | Relates to the API | |
barcode | Barcode scanning and integration | |
build | Build orders | |
importer | Data importing and processing | |
order | Purchase order and sales orders | |
part | Parts | |
plugin | Plugin ecosystem | |
pricing | Pricing functionality | |
report | Report generation | |
stock | Stock item management | |
user interface | User interface | |
Ecosystem Labels | ||
demo | Relates to the InvenTree demo server or dataset | |
docker | Docker / docker-compose | |
CI | CI / unit testing ecosystem | |
setup | Relates to the InvenTree setup / installation process |