@dossier/mithra-ui
v2.110.1-React18.1
Published
React component library
Keywords
Readme
Mithra UI
React component library for the Dossier design system
Getting started
Set up local development environment:
- Run
npm install - Run
npm run build-libto generate the version file. - Run
npm startto start the dev server.
The local dev server gives you a live-reloaded version of the mithra documentation, that you can use to test components while working on them.
Other useful commands:
npm run build-libnpm run build-docnpm run import-icons
Technology stack
Development and branches
Development happens in feature branches, for example feature/MU-123-add-context-menu. These are merged by pull request to release branches, for example release/v2.next. There is one combined development/release branch for each major version. Later version branches include changes from earlier versions; for example, v1 is included (merged) into v2, but not vice versa.
When making changes that affect users of the library, please add a concise comment about the change at the top of the CHANGELOG file.
To determine which release branch a feature should be merged to, use SemVer (breaking changes → next major, non-breaking changes → next minor or patch).
Code style
We use automatic code formatting with Prettier. You should set this up with your editor when contributing.
VS Code: The project already contains configuration that makes the editor format on save, but you must install the Prettier extension. This will be prompted when you open the project.
IntelliJ: Install the Prettier extension, and choose the node_modules Prettier in its settings.
Releasing packages
Steps to release on npm:
- Checkout the correct release branch.
- Run the appropriate
npm version major|minor|patchto update package.json and create a tagged commit. - Push the commit to bitbucket (
git push). - Push the resulting git tag to bitbucket (
git push --tags). - This triggers the npm publish pipeline, which is irreversible. It also rebuilds and deploys the docs site.
Importing icons from Figma
- Select the icons in Figma and batch export everything as svg.
- Create a folder in the project root called
./iconBuildSrc - Extract the downloaded zip into the
iconBuildSrc - Run
npm run import-icons - ~~Modify src/lib/assets/icons/icons/index.js as needed if the categories have changed~~
- Voilà. Delicious icons.
Snapshot testing
The image snapshot tests take screenshots of test layouts using puppeteer and jest. The images are then compared with previous snapshots using jest-image-snapshot. This alerts us to unintended visual changes to components. If a test fails, an image file will be created, with a visual diff of the change. These tests also run automatically in a bitbucket pipeline for all pull requests. If they fail, you can download the diff images for the failed tests in an artifact from bitbucket.
To run and/or update the tests locally, you must have Docker on your system. The snapshot tests need Docker in order to render exactly the same, regardless of different developer systems and CI.
Running the tests in the docker container
Before running the tests, be sure you have a dev server running locally. Docker must also be installed.
# Run dev server on your local machine
npm run startThen you can run the snapshot tests in a container. The following command starts a container and executes all the snapshot tests (against your dev server). The first time you run this command it will spend some time downloading the image and installing node_modules.
# Run tests in the container
npm run test:docker-run
# Or, using jest interactive mode
npm run test:docker-run-interactiveThen if there are any failures, you can see the diffs in __tests__/__image_snapshots__/__diff_output__.
You can update the snapshots by running following command, or through the interactive jest runner terminal ui.
# Run tests in the container
npm run test:docker-run -uTo shut down the container and Docker resources after testing, run:
npm run test:docker-cleanupAbout the Docker test environment
Both the local test environment and the bitbucket pipeline use the official puppeteer image. The local environment is managed by Docker compose (see docker-compose.yml).
