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OpenSearch Dashboards Developer Guide

This guide applies to all development within the OpenSearch Dashboards project and is recommended for the development of all OpenSearch Dashboards plugins.

Getting started guide

This guide is for any developer who wants a running local development environment where you can make, see, and test changes. It's opinionated to get you running as quickly and easily as possible, but it's not the only way to set up a development environment.

If you're only interested in installing and running this project, please see the Installing OpenSearch Dashboards instead.

If you're planning to contribute code (features or fixes) to this repository, great! Make sure to also read the contributing guide.

Key technologies

OpenSearch Dashboards is primarily a Node.js web application built using React. To effectively contribute you should be familiar with HTML (usage guide), SASS styling (usage guide), TypeScript and JavaScript (usage guide), and React (usage guide).

Prerequisites

To develop on OpenSearch Dashboards, you'll need:

If you already have these installed or have your own preferences for installing them, skip ahead to the Fork and clone OpenSearch Dashboards section.

Install git

If you don't already have it installed (check with git --version) we recommend following the the git installation guide for your OS.

Install node

We recommend using Node Version Manager (nvm) to install and manage different node versions, which may differ between release branches.

  1. Install nvm (as specified by the nvm README): curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.3/install.sh | bash
  2. Install the version of the Node.js runtime defined in .nvmrc: nvm install

If it's the only version of node installed, it will automatically be set to the default alias. Otherwise, use nvm list to see all installed node versions, and nvm use to select the node version required by OpenSearch Dashboards.

Fork and clone OpenSearch Dashboards

All local development should be done in a forked repository. Fork OpenSearch Dashboards by clicking the "Fork" button at the top of the GitHub repository.

Clone your forked version of OpenSearch Dashboards to your local machine (replace opensearch-project in the command below with your GitHub username):

$ git clone [email protected]:opensearch-project/OpenSearch-Dashboards.git

Install yarn

OpenSearch Dashboards is set up using yarn, which can be installed through corepack. To install yarn, run:

$ # Update corepack to the latest version
$ npm i -g corepack

$ # Install the correct version of yarn
$ corepack install

(See the corepack documentation for more information.)

Bootstrap OpenSearch Dashboards

If you haven't already, change directories to your cloned repository directory:

$ cd OpenSearch-Dashboards

The osd bootstrap command will install the project's dependencies and build all internal packages and plugins. Bootstrapping is necessary any time you need to update packages, plugins, or dependencies, and it's recommended to run it anytime you sync with the latest upstream changes.

$ yarn osd bootstrap

Note: If you experience a network timeout while bootstrapping:

| There appears to be trouble with your network connection. Retrying...

You can run command with —network-timeout flag:

$ yarn osd bootstrap —network-timeout 1000000

Or use the timeout by configuring it in the .yarnrc. For example:

network-timeout 1000000

If you've previously bootstrapped the project and need to start fresh, first run:

$ yarn osd clean

Run OpenSearch

OpenSearch Dashboards requires a running version of OpenSearch to connect to. In a separate terminal you can run the latest snapshot built using:

(Linux, Windows, Darwin (MacOS) only - for others, you'll need to set up using Docker or run OpenSearch from a tarball instead)

$ yarn opensearch snapshot

Run OpenSearch Dashboards

Warning: Starting the OpenSearch Dashboards instance before the OpenSearch server is fully initialized can cause Dashboards to misbehave. Ensure that the OpenSearch server instance is up and running first. You can validate by running curl localhost:9200 in another console tab or window (see OpenSearch developer guide).

Start the OpenSearch Dashboards development server:

$ yarn start

When the server is up and ready (the console messages will look something like this),

[info][listening] Server running at http://localhost:5603/pgt
[info][server][OpenSearchDashboards][http] http server running at http://localhost:5603/pgt

click on the link displayed in your terminal to access it.

Note - it may take a couple minutes to generate all the necessary bundles. If the Dashboards link is not yet accessible, wait for a log message like

[success][@osd/optimizer] 28 bundles compiled successfully after 145.9 sec, watching for changes

Note: If you run a docker image, an error may occur:

Error: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

This error is because there is not enough memory so more memory must be allowed to be used:

$ sudo sysctl -w vm.max_map_count=262144

For windows:

$ wsl -d docker-desktop
$ sysctl -w vm.max_map_count=262144

Next Steps

Now that you have a development environment to play with, there are a number of different paths you may take next.

Learn about the OpenSearch Dashboards architecture and plugins

Review user tutorials to understand the key features and workflows

Explore essential plugins and APIs

The easiest way to understand some of the essential plugins and APIs is to run OpenSearch Dashboards with developer examples turned on:

$ yarn start --run-examples

Review code guidelines and conventions

Join the discussion

See the communication guidefor information on how to join our slack workspace, forum, or developer office hours.

Alternative development installations

Although the getting started guide covers the recommended development environment setup, there are several alternatives worth being aware of.

Optional - Run OpenSearch with plugins

By default, the snapshot command will run a minimal distribution of OpenSearch, with no plugins installed.

If you would like to run OpenSearch with a particular plugin installed on the cluster snapshot, pass the --P flag after yarn opensearch snapshot. You can use the flag multiple times to install multiple plugins. The argument value can be a URL to the plugin's zip file, maven coordinates of the plugin, or a local zip file path (use file:// followed by the absolute or relative path, in that case). For example:

(Linux, Windows, Darwin (MacOS) only - for others, you'll need to run OpenSearch from a tarball instead)

$ yarn opensearch snapshot --P https://repo1.maven.org/maven2/org/opensearch/plugin/opensearch-test-plugin/2.4.0.0/opensearch-test-plugin-2.4.0.0.zip

Note - if you add the security plugin, you'll also need to configure OpenSearch Dashboards for security.

Plugin development

The osd-plugin-generator tool makes it easier to create a plugin for OpenSearch Dashboards. It sets up the basic structure of the project and provides scripts to build it. Refer to osd-plugin-generator for more details.

Other snapshot configuration options

Additional options can be passed after yarn opensearch snapshot to further configure the cluster snapshot.

Options:

  --license         Run with a 'oss', 'basic', or 'trial' license [default: oss]
  --version         Version of OpenSearch to download [default: 3.0.0}]
  --base-path       Path containing cache/installations [default: /home/ubuntu/OpenSearch-Dashboards/.opensearch]
  --install-path    Installation path, defaults to 'source' within base-path
  --data-archive    Path to zip or tarball containing an OpenSearch data directory to seed the cluster with.
  --password        Sets password for opensearch user [default: changeme]
  -E                Additional key=value settings to pass to OpenSearch
  --download-only   Download the snapshot but don't actually start it
  --ssl             Sets up SSL on OpenSearch
  --security        Installs and sets up OpenSearch Security plugin on the cluster
  --P               OpenSearch plugin artifact URL to install it on the cluster.

$ yarn opensearch snapshot --version 2.2.0 -E cluster.name=test -E path.data=/tmp/opensearch-data --P org.opensearch.plugin:test-plugin:2.2.0.0 --P file:/home/user/opensearch-test-plugin-2.2.0.0.zip --security

Read Only capabilities

This feature will only work if you have the security plugin installed on your OpenSearch cluster with https/authentication enabled.

Please follow the design described in the docs

Alternative - Run OpenSearch from tarball

If you would like to run OpenSearch from the tarball, you'll need to download the minimal distribution, install it, and then run the executable. (You'll also need Java installed and the JAVA_HOME environmental variable set - see OpenSearch developer guide for details).

  1. Download the latest minimal distribution of OpenSearch from the downloads page. Note the version and replace in commands below.
  2. Unzip the tar.gz file: tar -xvf opensearch-<OpenSearch-version>-linux-x64.tar.gz
  3. Change directory: cd opensearch-<OpenSearch-version>
  4. Run the cluster: ./bin/opensearch

Note - OpenSearch and OpenSearch Dashboards must have matching version strings. Because the tarball is the latest released version of OpenSearch, it's likely behind the version on the main branch of OpenSearch Dashboards, which is generally set to the next upcoming major release. So to work from main, update the OpenSearch Dashboards version in package.json to match the OpenSearch version running.

This method can also be used to develop against the full distribution of OpenSearch instead. In that case, you'll also need to configure OpenSearch Dashboards for security.

Configure OpenSearch Dashboards for security

This step is only needed if you want your dev environment to also start with security. To do so both the OpenSearch node and OpenSearch Dashboards cluster need to have the security plugin installed. Follow the steps below to get setup correctly.

To startup the OpenSearch snapshot with security

OpenSearch has strong password requirements and will fail to bootstrap if the password requirements are not met. e.g. myStrongPassword123!

  1. Run export OPENSEARCH_INITIAL_ADMIN_PASSWORD=<initial admin password> since it's needed by the configuration script
  2. Run yarn opensearch snapshot --security
  3. Wait a few seconds while the plugin is installed, configured, and OpenSearch starts up.

Then within another window you can start OpenSearch Dashboards:

First make sure to clone the https://github.com/opensearch-project/security-dashboards-plugin repo into the plugins folder and build it (Using yarn build). You can follow the instructions here https://github.com/opensearch-project/security-dashboards-plugin/blob/main/DEVELOPER_GUIDE.md#install-opensearch-dashboards-with-security-dashboards-plugin.

You do not have to edit the config/opensearch-dashboards.yml file since the yarn start:security command sets up the default overrides automatically

Then do the following:

  1. Run yarn start:security
  2. Navigate to OpenSearch Dashboards and login with the username admin and password <initial admin password>.

For more detailed documentation, see Configure TLS for OpenSearch Dashboards.

Building artifacts

To build the artifacts for all supported platforms, run the following:

yarn build --skip-os-packages

If you want to build a specific platform, pass the platform flag after yarn build-platform. For example, to build darwin x64, run the following:

yarn build-platform --darwin

You could pass one or multiple flags. If you don't pass any flag, yarn build-platform will build an artifact based on your local environment.

Currently, the supported flags for this script are:

  • darwin (builds Darwin x64)
  • linux (builds Linux x64)
  • linux-arm (builds Linux ARM64).
  • windows (builds Windows x64)

If you would like to build only a DEB x64 artifact, run the following:

yarn build --deb --skip-archives

If you would like to build only a DEB ARM64 artifact, run the following:

yarn build --deb-arm --skip-archives

If you would like to build only a RPM x64 artifact, run the following:

yarn build --rpm --skip-archives

If you would like to build only a RPM ARM64 artifact, run the following:

yarn build --rpm-arm --skip-archives

Building the Docker image

To build the Docker image, run the following:

yarn osd bootstrap
yarn build --docker

Code guidelines

General

Filenames

All filenames should use snake_case.

Right: src/opensearch-dashboards/index_patterns/index_pattern.js

Wrong: src/opensearch-dashboards/IndexPatterns/IndexPattern.js

Do not comment out code

We use a version management system. If a line of code is no longer needed, remove it, don't simply comment it out.

Prettier and linting

We are gradually moving the OpenSearch Dashboards code base over to Prettier. All TypeScript code and some JavaScript code (check .eslintrc.js) is using Prettier to format code. You can run node script/eslint --fix to fix linting issues and apply Prettier formatting. We recommend you to enable running ESLint via your IDE.

Whenever possible we are trying to use Prettier and linting over written developer guide rules. Consider every linting rule and every Prettier rule to be also part of our developer guide and disable them only in exceptional cases and ideally leave a comment why they are disabled at that specific place.

HTML

This part contains developer guide rules around general (framework agnostic) HTML usage.

Camel case id and data-test-subj

Use camel case for the values of attributes such as id and data-test-subj selectors.

<button id="veryImportantButton" data-test-subj="clickMeButton">Click me</button>

The only exception is in cases where you're dynamically creating the value, and you need to use hyphens as delimiters:

buttons.map(btn => (
  <button
    id={`veryImportantButton-${btn.id}`}
    data-test-subj={`clickMeButton-${btn.id}`}
  >
    {btn.label}
  </button>
)

Capitalization in HTML and CSS should always match

It's important that when you write CSS/SASS selectors using classes, IDs, and attributes (keeping in mind that we should never use IDs and attributes in our selectors), that the capitalization in the CSS matches that used in the HTML. HTML and CSS follow different case sensitivity rules, and we can avoid subtle gotchas by ensuring we use the same capitalization in both of them.

How to generate ids?

When labeling elements (and for some other accessibility tasks) you will often need ids. Ids must be unique within the page i.e. no duplicate ids in the rendered DOM at any time.

Since we have some components that are used multiple times on the page, you must make sure every instance of that component has a unique id. To make the generation of those ids easier, you can use the htmlIdGenerator service in the @elastic/eui.

A React component could use it as follows:

import { htmlIdGenerator } from '@elastic/eui';

render() {
  // Create a new generator that will create ids deterministic
  const htmlId = htmlIdGenerator();
  return (<div>
    <label htmlFor={htmlId('agg')}>Aggregation</label>
    <input id={htmlId('agg')}/>
  </div>);
}

Each id generator you create by calling htmlIdGenerator() will generate unique but deterministic ids. As you can see in the above example, that single generator created the same id in the label's htmlFor as well as the input's id.

A single generator instance will create the same id when passed the same argument to the function multiple times. But two different generators will produce two different ids for the same argument to the function, as you can see in the following example:

const generatorOne = htmlIdGenerator();
const generatorTwo = htmlIdGenerator();

// Those statements are always true:
// Same generator
generatorOne('foo') === generatorOne('foo');
generatorOne('foo') !== generatorOne('bar');

// Different generator
generatorOne('foo') !== generatorTwo('foo');

This allows multiple instances of a single React component to now have different ids. If you include the above React component multiple times in the same page, each component instance will have a unique id, because each render method will use a different id generator.

You can also use this service outside of React.

SASS files

When writing a new component, create a sibling SASS file of the same name and import directly into the top of the JS/TS component file. Doing so ensures the styles are never separated or lost on import and allows for better modularization (smaller individual plugin asset footprint).

All SASS (.scss) files will automatically build with the OUI & OpenSearch Dashboards invisibles (SASS variables, mixins, functions) from the globals_[theme].scss file.

While the styles for this component will only be loaded if the component exists on the page, the styles will be global and so it is recommended to use a three letter prefix on your classes to ensure proper scope.

Example:

// component.tsx

import './component.scss';
// All other imports below the SASS import

export const Component = () => {
  return <div className="plgComponent" />;
};
// component.scss

.plgComponent { ... }

Do not use the underscore _ SASS file naming pattern when importing directly into a javascript file.

TypeScript/JavaScript

The following developer guide rules apply for working with TypeScript/JavaScript files.

TypeScript vs. JavaScript

Whenever possible, write code in TypeScript instead of JavaScript, especially if it's new code. Check out TYPESCRIPT.md for help with this process.

Prefer modern JavaScript/TypeScript syntax

You should prefer modern language features in a lot of cases, e.g.:

  • Prefer class over prototype inheritance
  • Prefer arrow function over function expressions
  • Prefer arrow function over storing this (no const self = this;)
  • Prefer template strings over string concatenation
  • Prefer the spread operator for copying arrays ([...arr]) over arr.slice()
  • Use optional chaining (?.) and nullish Coalescing (??) over lodash.get (and similar utilities)

Avoid mutability and state

Wherever possible, do not rely on mutable state. This means you should not reassign variables, modify object properties, or push values to arrays. Instead, create new variables, and shallow copies of objects and arrays:

// good
function addBar(foos, foo) {
  const newFoo = { ...foo, name: 'bar' };
  return [...foos, newFoo];
}

// bad
function addBar(foos, foo) {
  foo.name = 'bar';
  foos.push(foo);
}

Avoid any whenever possible

Since TypeScript 3.0 and the introduction of the unknown type there are rarely any reasons to use any as a type. Nearly all places of former any usage can be replace by either a generic or unknown (in cases the type is really not known).

You should always prefer using those mechanisms over using any, since they are stricter typed and less likely to introduce bugs in the future due to insufficient types.

If you’re not having any in your plugin or are starting a new plugin, you should enable the @typescript-eslint/no-explicit-any linting rule for your plugin via the .eslintrc.js config.

Avoid non-null assertions

You should try avoiding non-null assertions (!.) wherever possible. By using them you tell TypeScript, that something is not null even though by it’s type it could be. Usage of non-null assertions is most often a side-effect of you actually checked that the variable is not null but TypeScript doesn’t correctly carry on that information till the usage of the variable.

In most cases it’s possible to replace the non-null assertion by structuring your code/checks slightly different or using user defined type guards to properly tell TypeScript what type a variable has.

Using non-null assertion increases the risk for future bugs. In case the condition under which we assumed that the variable can’t be null has changed (potentially even due to changes in completely different files), the non-null assertion would now wrongly disable proper type checking for us.

If you’re not using non-null assertions in your plugin or are starting a new plugin, consider enabling the @typescript-eslint/no-non-null-assertion linting rule for you plugin in the .eslintrc.js config.

Return/throw early from functions

To avoid deep nesting of if-statements, always return a function's value as early as possible. And where possible, do any assertions first:

// good
function doStuff(val) {
  if (val > 100) {
    throw new Error('Too big');
  }

  if (val < 0) {
    return false;
  }

  // ... stuff
}

// bad
function doStuff(val) {
  if (val >= 0) {
    if (val < 100) {
      // ... stuff
    } else {
      throw new Error('Too big');
    }
  } else {
    return false;
  }
}

Use object destructuring

This helps avoid temporary references and helps prevent typo-related bugs.

// best
function fullName({ first, last }) {
  return `${first} ${last}`;
}

// good
function fullName(user) {
  const { first, last } = user;
  return `${first} ${last}`;
}

// bad
function fullName(user) {
  const first = user.first;
  const last = user.last;
  return `${first} ${last}`;
}

Use array destructuring

Directly accessing array values via index should be avoided, but if it is necessary, use array destructuring:

const arr = [1, 2, 3];

// good
const [first, second] = arr;

// bad
const first = arr[0];
const second = arr[1];

Avoid magic numbers/strings

These are numbers (or other values) simply used in line in your code. Do not use these, give them a variable name so they can be understood and changed easily.

// good
const minWidth = 300;

if (width < minWidth) {
  ...
}

// bad
if (width < 300) {
  ...
}

Avoid using var to declare variables

Use const by default, and never use var to declare variables. const and let are block scoped, like variables in most other languages. var in JavaScript is function scoped, which can cause difficult to understand bugs.

Avoid using the Array constructor

Do not use the Array() constructor, with or without new. It has confusing and contradictory usage.

Instead, always use bracket notation to initialize arrays.

// good
const arr = [2];

// bad
const arr = new Array(2); //[undefined, undefined]
const arr = new Array(2, 3); //[2, 3];

Avoid line continuations in string literals

Do not use line continuations (that is, ending a line inside a string literal with a backslash) in either ordinary or template string literals. Even though ES5 allows this, it can lead to tricky errors if any trailing whitespace comes after the slash, and is less obvious to readers.

// good
const LONG_STRING = 'This is a very very very very very very long string. ' +
    'It does not contain long stretches of spaces because it uses ' +
    'concatenated strings.';

// bad
const LONG_STRING = 'This is a very very very very very very very long string. \
    It inadvertently contains long stretches of spaces due to how the \
    continued lines are indented.';

Avoid using @ts-ignore

Do not use @ts-ignore nor the variants @ts-expect-error or @ts-nocheck. They superficially seem to be an easy way to fix a compiler error, but in practice, a specific compiler error is often caused by a larger problem that can be fixed more directly.

Use native ES2015 module syntax

Module dependencies should be written using native ES2015 syntax wherever possible (which is almost everywhere):

// good
import { mapValues } from 'lodash';
export mapValues;

// bad
const _ = require('lodash');
module.exports = _.mapValues;

// worse
define(['lodash'], function (_) {
  ...
});

In those extremely rare cases where you're writing server-side JavaScript in a file that does not pass run through webpack, then use CommonJS modules.

In those even rarer cases where you're writing client-side code that does not run through webpack, then do not use a module loader at all.

Import only top-level modules

The files inside a module are implementation details of that module. They should never be imported directly. Instead, you must only import the top-level API that's exported by the module itself.

Without a clear mechanism in place in JS to encapsulate protected code, we make a broad assumption that anything beyond the root of a module is an implementation detail of that module.

On the other hand, a module should be able to import parent and sibling modules.

// good
import foo from 'foo';
import child from './child';
import parent from '../';
import ancestor from '../../../';
import sibling from '../foo';

// bad
import inFoo from 'foo/child';
import inSibling from '../foo/child';

Avoid global definitions

Don't do this. Everything should be wrapped in a module that can be depended on by other modules. Even things as simple as a single value should be a module.

Use ternary operators only for small, simple code

And never use multiple ternaries together, because they make it more difficult to reason about how different values flow through the conditions involved. Instead, structure the logic for maximum readability.

// good, a situation where only 1 ternary is needed
const foo = a === b ? 1 : 2;

// bad
const foo = a === b ? 1 : a === c ? 2 : 3;

Use descriptive conditions

Any non-trivial conditions should be converted to functions or assigned to descriptively named variables. By breaking up logic into smaller, self-contained blocks, it becomes easier to reason about the higher-level logic. Additionally, these blocks become good candidates for extraction into their own modules, with unit-tests.

// best
function isShape(thing) {
  return thing instanceof Shape;
}
function notSquare(thing) {
  return !(thing instanceof Square);
}
if (isShape(thing) && notSquare(thing)) {
  ...
}

// good
const isShape = thing instanceof Shape;
const notSquare = !(thing instanceof Square);
if (isShape && notSquare) {
  ...
}

// bad
if (thing instanceof Shape && !(thing instanceof Square)) {
  ...
}

Name regular expressions

// good
const validPassword = /^(?=.*\d).{4,}$/;

if (password.length >= 4 && validPassword.test(password)) {
  console.log('password is valid');
}

// bad
if (password.length >= 4 && /^(?=.*\d).{4,}$/.test(password)) {
  console.log('losing');
}

Write small functions

Keep your functions short. A good function fits on a slide that the people in the last row of a big room can comfortably read. So don't count on them having perfect vision and limit yourself to ~15 lines of code per function.

Use "rest" syntax rather than built-in arguments

For expressiveness sake, and so you can be mix dynamic and explicit arguments.

// good
function something(foo, ...args) {
  ...
}

// bad
function something(foo) {
  const args = Array.from(arguments).slice(1);
  ...
}

Use default argument syntax

Always use the default argument syntax for optional arguments.

// good
function foo(options = {}) {
  ...
}

// bad
function foo(options) {
  if (typeof options === 'undefined') {
    options = {};
  }
  ...
}

And put your optional arguments at the end.

// good
function foo(bar, options = {}) {
  ...
}

// bad
function foo(options = {}, bar) {
  ...
}

Use thunks to create closures, where possible

For trivial examples (like the one that follows), thunks will seem like overkill, but they encourage isolating the implementation details of a closure from the business logic of the calling code.

// good
function connectHandler(client, callback) {
  return () => client.connect(callback);
}
setTimeout(connectHandler(client, afterConnect), 1000);

// not as good
setTimeout(() => {
  client.connect(afterConnect);
}, 1000);

// bad
setTimeout(() => {
  client.connect(() => {
    ...
  });
}, 1000);

Use slashes for comments

Use slashes for both single line and multi line comments. Try to write comments that explain higher level mechanisms or clarify difficult segments of your code. Don't use comments to restate trivial things.

Exception: Comment blocks describing a function and its arguments (docblock) should start with /**, contain a single * at the beginning of each line, and end with */.

// good

// 'ID_SOMETHING=VALUE' -> ['ID_SOMETHING=VALUE', 'SOMETHING', 'VALUE']
const matches = item.match(/ID_([^\n]+)=([^\n]+)/));

/**
 * Fetches a user from...
 * @param  {string} id - id of the user
 * @return {Promise}
 */
function loadUser(id) {
  // This function has a nasty side effect where a failure to increment a
  // redis counter used for statistics will cause an exception. This needs
  // to be fixed in a later iteration.

  ...
}

const isSessionValid = (session.expires < Date.now());
if (isSessionValid) {
  ...
}

// bad

// Execute a regex
const matches = item.match(/ID_([^\n]+)=([^\n]+)/));

// Usage: loadUser(5, function() { ... })
function loadUser(id, cb) {
  // ...
}

// Check if the session is valid
const isSessionValid = (session.expires < Date.now());
// If the session is valid
if (isSessionValid) {
  ...
}

Use getters but not setters

Feel free to use getters that are free from side effects, like providing a length property for a collection class.

Do not use setters, they cause more problems than they can solve.

Use strict equality checks

Use strict equality operators (===/!==) to compare the operands. The equality (==/!=) operator will try to convert and compare operands that are of different types causing unexpected behavior.

Use uppercase for constants

Constants should be declared in uppercase letters especially for primitives because they are truly immutable.

Use named exports

Use named exports instead of default exports. Default exports provide no canonical name, which makes central maintenance difficult with relatively little benefit to code owners, including potentially decreased readability.

// good
export class User { ... }

// bad
export default class User { ... }
// why bad
import User from './user';  // Legal.
import Group from './user';  // Also legal.

Use single quotes for string literals

Ordinary string literals are delimited with single quotes ('), rather than double quotes ("). If a string contains a single quote character, consider using a template string to avoid having to escape the quote.

Attribution

Parts of the JavaScript developer guide were initially forked from the node style guide created by Felix Geisendörfer which is licensed under the CC BY-SA 3.0 license.

React

The following developer guide rules are specific for working with the React framework.

Name action functions and prop functions appropriately

Name action functions in the form of a strong verb and passed properties in the form of on. E.g:

<sort-button onClick={action.sort}/>
<pagerButton onPageNext={action.turnToNextPage} />

API endpoints

The following developer guide rules are targeting development of server side API endpoints.

Use only /api/ as base path

API routes must start with the /api/ path segment, and should be followed by the plugin id if applicable:

Right: /api/marvel/nodes

Wrong: /marvel/api/nodes

Use snake_case

OpenSearch Dashboards uses snake_case for the entire API, just like OpenSearch. All urls, paths, query string parameters, values, and bodies should be snake_case formatted.

Right:

POST /api/opensearch-dashboards/index_patterns
{
  "id": "...",
  "time_field_name": "...",
  "fields": [
    ...
  ]
}

Submit pull request

Before submit a pull request

First-time contributors should head to the contributing guide to get started.

Make sure your pull request adheres to our code guidelines.

Follow testing guideline about current tests in the repo, writing tests and running tests locally.

Best practices for pull request

We deeply appreciate everyone who takes the time to make a contribution. We will review all contributions as quickly as possible. As a best practice, opening an issue and discussing your change before you make it is the best way to smooth the PR process. This will prevent a rejection because someone else is already working on the problem, or because the solution is incompatible with the architectural direction.

In addition, below are a few best practices so your pull request gets reviewed quickly.

Mark unfinished pull requests

It's okay to submit a draft PR if you want to solicit reviews before the implementation of your pull request is complete. To do that, you may add a WIP or [WIP] prefix to your pull request title and convert the PR to a draft

Clear title and description for pull request

Make sure that the title of the PR is easy to understand about the intent, and it should not conflict with the PR description or the implementation. To help reviewers get better context of the PR, we suggest to have a clear summary of the intent of the change as well as detailed steps for the manual tests that have been performed for this PR.

Small pull request is better

Small pull requests get reviewed faster and are more likely to be correct than big ones. Breaking your change into small pull requests while keep in mind that every pull request should be useful on its own.

Check and fix tests

The repository uses codecov to gather coverage information, contributors submitting pull requests to the codebase are required to ensure that their code changes include appropriate testing coverage. Very few pull requests can touch the code and NOT touch the tests.

If you don't know how to test a feature, please ask! Pull requests lacking sufficient testing coverage may be subject to delays in review or rejection until adequate tests are provided.

The repository has automated test workflows, and contributors submitting pull requests are required to check the failed test workflows and fix the tests related to their code change. If flaky test is identified, please ask a maintainer to retry the workflow.