bdd-tc v0.0.11
BDD-to-code
Transforms Yadda features into working Testcafé tests.
How it works?
First we need a feature-file, say ./e2e/features/demo.feature:
Feature: Some description
Scenario: Perform a single action
Given one step
When I run another step
Then I test for something specificNow we must define some steps to cover it, e.g. ./e2e/steps/demo.js:
import { Selector } from 'testcafe';
export default {
'Given one step': () => async t => {
await t
.expect('body').ok();
},
'When I run another step': () => async t => {
await t
.click(Selector('button'));
},
'Then I test for $phrase': value => async t => {
await t
.expect(Selector('body').innerText)
.contains(value);
},
};Finally we can generate the test-files and execute them:
$ bdd-tc e2e/features -- testcafe --color chrome:headlessSteps
Steps are labeled functions that receive arguments and return actual test functions.
Those calls are inlined on the generated tests, but its code is actually imported:
import $step0 from '../steps/demo.js';
fixture `Some description`;
test(`Perform a single action`, async t => {
await $step0[`Given one step`]()(t);
await $step0[`When I run another step`]()(t);
await $step0[`Then I test for \$phrase`]("something specific")(t);
});Hooks
Before and after hooks for tests can be defined too.
They're are similar to step functions:
export default {
before: {
namedHook: () => async t => {
// do something
},
},
after: {
// etc.
},
// use @path as input
url(path = '/') {
return process.env.BASE_URL + path;
},
};Now you can reference them with @before and @after annotations respectively:
@after=doSomething
Feature: Some description
@before=namedHook,somethingElse
Scenario: Perform a single action
Given one step
When I run another step
Then I test for something specificDepending on the context,
beforeEach/afterEachorbefore/afteris used automatically.
Matchers
Additional $matchers can be defined within steps as follows:
export default {
matchers: {
test: '(foo|bar)',
noMatch: '(?:[^\\s]*)',
},
'When ask for $test': test => async t => {
console.log(test); // foo OR bar
},
'Then verify $noMatch': noMatch => async t => {
console.log(noMatch); // undefined
},
};Captures made from matchers will be passed as arguments, non-matched placeholders will be captured as (.+?) and passed too.
Use
(?:<PATTERN>)to omit captured values from matched placeholders.
Annotations
Built-in annotations are:
@xsnapshot— Unique for features, disables any@snapshotfrom scenarios below@snapshot— Unique for scenarios, it'll take snapshots after each step!@before— Setupbefore/beforeEachfrom features and scenarios@after— Setupafter/afterEachfrom features and scenarios@only— Append.onlyon generated fixture/test calls@skip— Completely omit fixture/test from generated code@page— Optional pathame, used only ifurl()is setup@url— Append.pagecalls on generated fixture/test calls
Given @snapshost value is passed as takeSnapshot's selector option, so it can be an array, in which case will fallback until one selector matches/exists.
Any other annotation is keept as input-data and passed through invoked hooks.
Multiple values using [ ;,] as separator will be treated as arrays, e.g.
@media=foo,barComplex values can be passed as JSON values, e.g.
@arr=["foo", "bar"]
@obj={"baz": "buzz"}
@str="Other value, with commas, etc."Working with steps
In order to assist you during writing steps, you can leverage on:
takeSnapshot(...)— Calls the same method from testcafe-blink-diffuseSelectors(obj)— Object containingSelector(...)definitions, can be nesteduseFixtures(obj)— Object containing any values as fixtures, can be nestedgetVal(key)— Validate and return value from registered fixtures, see abovegetEl(key)— Validate and return selector from registered ones, see above$(...)— Shortcut forSelector(...), same options as original call
Working with fixtures
Importing the bdd-tc/matchers module you gain access to:
jsf(schema[, options])— Generate one or many samples from given JSON-Schema1faker[...]— Faker.js instance - see demochance[...]— Chance.js instance - see docsgen([type[, schema]])— Generate a sample based on any given type, additional JSON-Schema is applied if givendate([step])— RandomDateobject, given optional step:seconds,minutes,hours,days,monthsoryearspick(dataset)— Pick any value from given dataset, even work with strings!oneOf(dataset, whereField, fieldValue)— Find any item on dataset that matches field/valuenumber([min[, max]])— Returns a random number within min/max boundariesrandexp(regexp)— Return a string generated from any givenRegExpshuffle(dataset)— Copy, randomize and returns any given dataset
1 We're using json-schema-faker under the hood to generate those.
Demo/dev
npm install— Setup dependenciesnpm run e2e— Run defined e2e testsnpm run test:ci— To run all unit-tests
Inspect the generated results from E2E snapshots:
npm run report:uiopen generated/index.html