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CONTRIBUTING.md

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Search UI Contributor's Guide

Thank you for your interest in contributing to Search UI!

Before you begin, a couple notes...

  • Prior to opening a pull request, please:
    • Create an issue to discuss the scope of your proposal.
    • Sign the Contributor License Agreement. We are not asking you to assign copyright to us, but to give us the right to distribute your code without restriction. We ask this of all contributors in order to assure our users of the origin and continuing existence of the code. You only need to sign the CLA once.
  • Please write simple code and concise documentation, when appropriate.

Contributing to the docs? Refer to docs/README.md.

Running Search UI

Codebase overview

This repository is maintained as a Monorepo using Lerna.

Lerna configuration is contained in lerna.json.

  • /packages - Contains publishable Search UI npm packages.
  • /examples - Contains non-publishable examples of Search UI usage. They are declared as "packages" in lerna.json so that yarn workspaces will automatically wire up the examples to local dependencies.

Dependencies are declared in a package.json hierarchy.

  • /package.json - Dependencies for repo tooling, like husky and lerna. can be declared here.
  • /packages/{package_name}/package.json - Package specific dependencies.

Requirements

  • Node: ^16.14.1
  • Yarn: ^1.2
  • OS: Unix/Linux or Windows Subsystem for Linux

Installing dependencies

From the root level of this repository:

yarn

Behind the scenes, yarn will installs dependencies in the root folder, and for each lerna package and example repo. Lerna is configured to use yarn workspaces which will hoist shared dependencies in the packages into the root.

Building

For all packages, run from repository root. For single package, run from package folder.

# Build once
yarn build

# Watch for changes and re-build
yarn watch

Testing

For all packages, run from repository root. For single package, run from package folder.

# Test once
yarn test

# Watch for changes and re-run
yarn test -- --watch

Sandbox

The sandbox app is available to demo usage and act as a development aid.

It is wired up to use the local source of the Search UI libraries as dependencies via Lerna. This means as you update library code you can see it updated live in the sandbox app.

To run it locally:

# From the repository root
# The project needs to be built before it is run
# `yarn build` would also work in place of `yarn watch`
yarn watch

# In a separate terminal
cd examples/sandbox
yarn start

To configure the sandbox to use your own data, simply create a .env file in the sandbox folder, and configure the properties of the connector you're using.

For example, if you're using App Search, put this into your .env file:

REACT_APP_SEARCH_ENGINE_NAME=<PUT YOUR ENGINE NAME HERE>
REACT_APP_SEARCH_KEY=<PUT YOUR SEARCH KEY HERE>
REACT_APP_SEARCH_ENDPOINT_BASE=<PUT AN ENDPOINT BASE HERE>

Editor Setup

VSCode

We recommend using the ESLint plugin with the following settings:

  "editor.formatOnSave": true,
  "eslint.enable": true

NOTE: We enable formatOnSave so that /examples are formatted automatically. eslint --fix would only apply to code under /packages

Branching Strategy

Our main branch holds the latest development code for the next release. If the next release will be a minor release, the expecation is that no breaking changes will be in main. If a change would be breaking, we need to put it behind a feature flag, or make it an opt-in change. We will only merge breaking PRs when we are ready to start working on the next major.

All PRs should be created from a fork, to keep a clean set of branches on origin.