CircleCI Config Parser
A parsing library for CircleCI configuration files, powered by the
CircleCI Config SDK
Used by the
CircleCI Visual Config Editor
to generate an interactive and editable visual representation of your CircleCI
config.
Getting Started
Installation
Using npm:
$ npm i @circleci/circleci-config-parser
Using yarn:
$ yarn add @circleci/circleci-config-parser
Usage
In Node.js:
import ConfigParser from '@circleci/circleci-config-parser';
In Browser:
const ConfigParser = require('@circleci/circleci-config-parser');
Loading a Config instance from a config file
import fs from 'fs';
const configSrc = fs.readFileSync('./config.yml', 'utf8');
const config = ConfigParser.parseConfig(configSrc);
Parsing a job config equivalent object, into a CircleCI Config SDK Job
instance.
const jobIn = {
docker: [{ image: 'cimg/base:2022.08' }],
resource_class: 'medium',
steps: [
{
run: {
command: 'echo << parameters.greeting >>',
},
},
],
parameters: {
greeting: {
type: 'string',
},
},
};
ConfigParser.parseJob('Job Name', jobIn);
The equivalent config-sdk instantiation for that object:
new CircleCI.reusable.ParameterizedJob(
'my_job',
new CircleCI.executors.DockerExecutor('cimg/node:lts'),
new CircleCI.parameters.CustomParametersList([
new CircleCI.parameters.CustomParameter('greeting', 'string'),
]),
[
new CircleCI.commands.Run({
command: 'echo << parameters.greeting >>',
}),
],
);
Parsing Orb references requires an OrbManifest, which is a representation of
Orbs outward facing properties.
import fs from 'fs';
const customOrbProps = {
jobs: {
say_hello: {
greeting: {
type: 'string',
},
},
},
commands: {
say_it: {
what: {
type: 'string',
},
},
},
executors: {
python: {
version: {
type: 'string',
default: '1.0.0',
},
},
},
};
const customOrbManifest = ConfigParser.parseOrbManifest(customOrbProps);
const configSrc = fs.readFileSync('./config.yml', 'utf8');
const config = ConfigParser.parseConfig(configSrc, {
'custom-orb': customOrbManifest,
});