Jest mock a module to produce different results on function calls - javascript

I have a module:
// foo.js
module.exports = async () => {
...
}
This module is called in another module, which behaviour I'm testing:
// bar.js
const one = await foo();
const two = await foo();
I want to mock foo with Jest, so that multiple calls on it return different results. More precisely, the first call to be successful, the second one to return an error.
This is my mocking mechanism:
const fooMock = jest.mock('../src/foo')
fooMock
.mockImplementationOnce(() => Promise.resolve({ id: 'asdf' }))
.mockImplementationOnce(() => Promise.reject(new Error('some error')))
The problem is that mockImplementationOnce is not a function of jest.mock(). It's only a function of jest.fn(). The jest.mock() object only has mockImplementation which will mock and seal the return result of the mocked function and doesn't allow for different results on multiple calls.
How can I mock the module to return different results on 1st and on 2nd call?
Inspiration taken from the jest docs here.
UPDATE:
I also tried this approach:
jest.mock('../src/foo', () => jest.fn()
.mockImplementationOnce(() => Promise.resolve({ _id: 'asdf' }))
.mockImplementationOnce(() => Promise.reject('some error'))
)
But now no mocking is happening at all.

You should use mockFn.mockReturnValueOnce(value):
Accepts a value that will be returned for one call to the mock function. Can be chained so that successive calls to the mock function return different values
After calling jest.mock('./src/foo'), you should import the ./src/foo module and it will be a mocked version instead of using the return value.
const fooMock = require('./src/foo');
jest.mock('./src/foo');
test('should pass', () => {
fooMock.mockReturnValue('default')
.mockReturnValueOnce('first call')
.mockReturnValueOnce('second call')
// 'first call', 'second call', 'default', 'default'
console.log(fooMock(), fooMock(), fooMock(), fooMock());
})

Related

Why isn't my jest mock function implementation being called?

I have the following jest test configuration for my collection of AWS JS Node Lambdas. I have a module called dynamoStore I reference in several different lambdas package.json and use within the lambdas. I am trying to get test one of these lambdas by mocking the dynamo store module as it makes calls to dynamoDb. The problem is that the jest.fn implementation never gets called. I confirmed this by sticking a breakpoint in that line as well as logging the value the calling methods returns from it.
When I check lambda1/index.js in the debugger getVehicleMetaKeysFromDeviceId() is a jest object but when it is called it doesn't use my mock implementation
How do I get this implementation to work? Have I set up my mock incorrectly?
dynamoStore/vehicleMetaConstraints
exports.getVehicleMetaKeysFromDeviceId= async (data) => {
return data
};
dynamoStore/index.js
exports.vehicleMetaConstraints = require("./vehicleMetaConstraints");
...
lambda1/index.js
const { vehicleMetaStore } = require("dynamo-store");
exports.handler = async (event, context, callback) => {
const message = event;
let vehicle_ids = await vehicleMetaStore.getVehicleMetaKeysFromDeviceId(message.id);
// vehicle_ids end up undefined when running the test
}
lambda1/index.test.js
const { vehicleMetaStore } = require("dynamo-store");
jest.mock("dynamo-store", () => {
return {
vehicleMetaStore: {
getVehicleMetaKeysFromDeviceId: jest.fn(),
},
};
});
describe("VehicleStorageLambda", () => {
beforeEach(() => {
jest.resetModules();
process.env = { ...env };
});
afterEach(() => {
jest.clearAllMocks();
});
test("Handles first time publish with existing device", async () => {
let functionHandler = require("./index");
vehicleMetaStore.getVehicleMetaKeysFromDeviceId.mockImplementationOnce(() =>
// This never gets called
Promise.resolve({
device_id: "333936303238510e00210022",
})
);
await functionHandler.handler({});
});
});
Remove the call to jest.resetModules() in beforeEach. That's re-importing your modules before each test, and wiping out your mocks.
https://stackoverflow.com/a/59792748/3084820

Jest testing, call actual implementation on first call, mock the rest

We are moving a repo from sinon stubs to jest, and I'm having trouble with this mock. What I want to do is call the actual implementation on the first call, then mock the rest of the calls. This function is recursive, so we want the first call to call the actual implementation, then mock the recursive calls.
In sinon, it was done like this
const stub = sandbox.stub(instance, 'function');
stub
.onFirstCall()
.callsFake(stub.wrappedMethod)
.callsFake((args) => args);
I would like to do something like this, but cannot find the actual implementation on the jest spy or mock instance. Is this simply not possible?
const spy = jest.spyOn(instance, 'function');
spy
.mockImplementationOnce(spy.mock.actual) // ???
.mockImplementation((args) => args);
Why can't you do something similar to as follows?
const spy = jest.spyOn(instance, 'function');
spy
.mockImplementationOnce(() => originalInstanceFunction())
.mockImplementation((args) => args);
Here is an example implementation - Note had to store a reference to the original instance function
const original = {
func: (args) => { console.log(`original ${args}`)}
};
describe('test', () => {
it('should call original then mock', () => {
const originalFunction = original.func;
const spy = jest.spyOn(original, 'func');
spy.mockImplementationOnce((args) => originalFunction(args))
.mockImplementation((args) => console.log(`mock ${args}`));
original.func('test-args');
original.func('test-args');
expect(spy).toBeCalledTimes(2);
});
});
Outputs:
console.log
original test-args
at originalFunction (test.test.js:2:28)
console.log
mock test-args
at Object.spy.mockImplementationOnce.mockImplementation.args (test.test.js:12:42)
To do this with a mocked library, use jest.requireActual(). Copying an example from the guide:
jest.mock('node-fetch');
const fetch = jest.requireActual('node-fetch');
This allows you to mock the fetch library in your code being tested, but use the real fetch function in your test itself.

How can I test a class which contains imported async methods in it?

This is my first time working with tests and I get the trick to test UI components. Now I am attempting to test a class which has some static methods in it. It contains parameters too.
See the class:
import UserInfoModel from '../models/UserInfo.model';
import ApiClient from './apiClient';
import ApiNormalizer from './apiNormalizer';
import Article from '../models/Article.model';
import Notification from '../models/Notification.model';
import Content from '../models/Link.model';
export interface ResponseData {
[key: string]: any;
}
export default class ApiService {
static makeApiCall(
url: string,
normalizeCallback: (d: ResponseData) => ResponseData | null,
callback: (d: any) => any
) {
return ApiClient.get(url)
.then(res => {
callback(normalizeCallback(res.data));
})
.catch(error => {
console.error(error);
});
}
static getProfile(callback: (a: UserInfoModel) => void) {
return ApiService.makeApiCall(`profile`, ApiNormalizer.normalizeProfile, callback);
}
}
I already created a small test which is passing but I am not really sure about what I am doing.
// #ts-ignore
import moxios from 'moxios';
import axios from 'axios';
import { baseURL } from './apiClient';
import { dummyUserInfo } from './../models/UserInfo.model';
describe('apiService', () => {
let axiosInstance: any;
beforeEach(() => {
axiosInstance = axios.create();
moxios.install();
});
afterEach(() => {
moxios.uninstall();
});
it('should perform get profile call', done => {
moxios.stubRequest(`${baseURL.DEV}profile`, {
status: 200,
response: {
_user: dummyUserInfo
}
});
axiosInstance
.get(`${baseURL.DEV}profile`)
.then((res: any) => {
expect(res.status).toEqual(200);
expect(res.data._user).toEqual(dummyUserInfo);
})
.finally(done);
});
});
I am using moxios to test the axios stuff -> https://github.com/axios/moxios
So which could be the proper way to test this class with its methods?
Introduction
Unit tests are automated tests written and run by software developers to ensure that a section of an application meets its design and behaves as intended. As if we are talking about object-oriented programming, a unit is often an entire interface, such as a class, but could be an individual method.
The goal of unit testing is to isolate each part of the program and show that the individual parts are correct. So if we consider your ApiService.makeApiCall function:
static makeApiCall(
url: string,
normalizeCallback: (d: ResponseData) => ResponseData | null,
callback: (d: any) => any
) {
return ApiClient.get(url)
.then((res: any) => {
callback(normalizeCallback(res.data));
})
.catch(error => {
console.error(error);
});
}
we can see that it has one external resource calling ApiClient.get which should be mocked. It's not entirely correct to mock the HTTP requests in this case because ApiService doesn't utilize them directly and in this case your unit becomes a bit more broad than it expected to be.
Mocking
Jest framework provides great mechanism of mocking and example of Omair Nabiel is correct. However, I prefer to not only stub a function with a predefined data but additionally to check that stubbed function was called an expected number of times (so use a real nature of mocks). So the full mock example would look as follows:
/**
* Importing `ApiClient` directly in order to reference it later
*/
import ApiClient from './apiClient';
/**
* Mocking `ApiClient` with some fake data provider
*/
const mockData = {};
jest.mock('./apiClient', function () {
return {
get: jest.fn((url: string) => {
return Promise.resolve({data: mockData});
})
}
});
This allows to add additional assertions to your test example:
it('should call api client method', () => {
ApiService.makeApiCall('test url', (data) => data, (res) => res);
/**
* Checking `ApiClient.get` to be called desired number of times
* with correct arguments
*/
expect(ApiClient.get).toBeCalledTimes(1);
expect(ApiClient.get).toBeCalledWith('test url');
});
Positive testing
So, as long as we figured out what and how to mock data let's find out what we should test. Good tests should cover two situations: Positive Testing - testing the system by giving the valid data and Negative Testing - testing the system by giving the Invalid data. In my humble opinion the third branch should be added - Boundary Testing - Test which focus on the boundary or limit conditions of the software being tested. Please, refer to this Glossary if you are interested in other types of tests.
The positive test flow flow for makeApiCall method should call normalizeCallback and callback methods consequently and we can write this test as follows (however, there is more than one way to skin a cat):
it('should call callbacks consequently', (done) => {
const firstCallback = jest.fn((data: any) => {
return data;
});
const secondCallback = jest.fn((data: any) => {
return data;
});
ApiService.makeApiCall('test url', firstCallback, secondCallback)
.then(() => {
expect(firstCallback).toBeCalledTimes(1);
expect(firstCallback).toBeCalledWith(mockData);
expect(secondCallback).toBeCalledTimes(1);
expect(secondCallback).toBeCalledWith(firstCallback(mockData));
done();
});
});
Please, pay attention to several things in this test:
- I'm using done callback to let jest know the test was finished because of asynchronous nature of this test
- I'm using mockData variable which the data that ApiClient.get is mocked this so I check that callback got correct value
- mockData and similar variables should start from mock. Otherwise Jest will not allow to out it out of mock scope
Negative testing
The negative way for test looks pretty similar. ApiClient.get method should throw and error and ApiService should handle it and put into a console. Additionaly I'm checking that none of callbacks was called.
import ApiService from './api.service';
const mockError = {message: 'Smth Bad Happened'};
jest.mock('./apiClient', function () {
return {
get: jest.fn().mockImplementation((url: string) => {
console.log('error result');
return Promise.reject(mockError);
})
}
});
describe( 't1', () => {
it('should handle error', (done) => {
console.error = jest.fn();
const firstCallback = jest.fn((data: any) => {
return data;
});
const secondCallback = jest.fn((data: any) => {
return data;
});
ApiService.makeApiCall('test url', firstCallback, secondCallback)
.then(() => {
expect(firstCallback).toBeCalledTimes(0);
expect(secondCallback).toBeCalledTimes(0);
expect(console.error).toBeCalledTimes(1);
expect(console.error).toBeCalledWith(mockError);
done();
});
});
});
Boundary testing
Boundary testing could be arguing in your case but as long as (according to your types definition normalizeCallback: (d: ResponseData) => ResponseData | null) first callback can return null it could be a good practice to check if is the successfully transferred to a second callback without any errors or exceptions. We can just rewrite our second test a bit:
it('should call callbacks consequently', (done) => {
const firstCallback = jest.fn((data: any) => {
return null;
});
const secondCallback = jest.fn((data: any) => {
return data;
});
ApiService.makeApiCall('test url', firstCallback, secondCallback)
.then(() => {
expect(firstCallback).toBeCalledTimes(1);
expect(firstCallback).toBeCalledWith(mockData);
expect(secondCallback).toBeCalledTimes(1);
done();
});
});
Testing asynchronous code
Regarding testing asynchronous code you can read a comprehensive documentation here. The main idea is when you have code that runs asynchronously, Jest needs to know when the code it is testing has completed, before it can move on to another test. Jest provides three ways how you can do this:
By means of a callback
it('the data is peanut butter', done => {
function callback(data) {
expect(data).toBe('peanut butter');
done();
}
fetchData(callback);
});
Jest will wait until the done callback is called before finishing the test. If done() is never called, the test will fail, which is what you want to happen.
By means of promises
If your code uses promises, there is a simpler way to handle asynchronous tests. Just return a promise from your test, and Jest will wait for that promise to resolve. If the promise is rejected, the test will automatically fail.
async/await syntax
You can use async and await in your tests. To write an async test, just use the async keyword in front of the function passed to test.
it('the data is peanut butter', async () => {
const data = await fetchData();
expect(data).toBe('peanut butter');
});
Example
Here you can find a ready to use example of your code
https://github.com/SergeyMell/jest-experiments
Please, let me know if something left unclear for you.
UPDATE (29.08.2019)
Regarding your question
Hi, what can I do to mock ./apiClient for success and error in the same file?
According to the documentation Jest will automatically hoist jest.mock calls to the top of the module (before any imports). It seems that you can do setMock or doMock instead, however, there are issues with mocking this way that developers face from time to time. They can be overridden by using require instead of import and other hacks (see this article) however I don't like this way.
The correct way for me in this case is do split mock defining and implementation, so you state that this module will be mocked like this
jest.mock('./apiClient', function () {
return {
get: jest.fn()
}
});
But the implementation of the mocking function differs depending on scope of tests:
describe('api service success flow', () => {
beforeAll(() => {
//#ts-ignore
ApiClient.get.mockImplementation((url: string) => {
return Promise.resolve({data: mockData});
})
});
...
});
describe('api service error flow', () => {
beforeAll(() => {
//#ts-ignore
ApiClient.get.mockImplementation((url: string) => {
console.log('error result');
return Promise.reject(mockError);
})
});
...
});
This will allow you to store all the api service related flows in a single file which is what you expected as far as I understand.
I've updated my github example with api.spec.ts which implements all mentioned above. Please, take a look.
The unit test term is self-explanatory that you test a unit. A function in complete isolation. Any outside dependencies are mocked. Here if your'e testing makeApiCall function you'll have to stub it's parameters and then mock the ApiClient promise and expect the function to return whatever you're expecting it to return with respect to your mocked and stub parameters.
One thing that people normally forget and which is the most important is to test the negative cases of a function. What will happen if your function throws an error will it break the app. How your function behaves in case something fails. Tests are written to avoid breaking changes in the app.
here is a better guide how to test async functions in JEST which coding examples:
https://www.leighhalliday.com/mocking-axios-in-jest-testing-async-functions
Hope this helps
UPDATE
Mock your ApiClient
for pass case:
jest.mock('./apiClient', () => {
get: jest.fn(() => Promise.resolve(data)) // for pass case
})
for fail case:
jest.mock('./apiClient', () => {
get: jest.fn(() => Promise.reject(false)) // for fail case
})
now call your makeApiCall for both cases once for success and once for fail.
for fail case:
const makeCall = await makeApiCall( <your stub params here> )
expect(makeCall).toThrowError() // note here you can check whatever you have done to handle error. ToThrowError is not a built-in function but just for understanding
I've mostly done testing in Jasmine so this last piece of code is kind of a psuedo code.
I guess what you are asking is how to test ApiService. If this is the case, then mocking the very own thing you want to test would make the unit test pointless.
What I would expect is the following items
You just want to test logic in your own class, not in the library.
You don't want to make an actual network request, this spams the server and make the test slower to run.
If this is the case, then you should mock out some lib to control their behaviour and see how your class behave under those circumstances. And, mock out any operation that involves network IO, make your test faster and less reliant on external resources.
There are a few things you could check with some dependencies mocked out:
delegation, e.g. is axios called once, with the right param?
directly mock the behaviour of the lib, in your case using maxios.
import ApiService, { baseURL } from './apiClient';
describe('ApiService', () => {
let axiosInstance: any;
beforeEach(() => {
axiosInstance = axios.create();
moxios.install();
});
afterEach(() => {
moxios.uninstall();
});
// usually 1 test suite for each method
describe('#getProfile', (done) => {
// mocking behaviour
it('should perform get profile call', () => {
moxios.stubRequest(`${baseURL.DEV}profile`, {
status: 200,
response: {
_user: dummyUserInfo
}
});
ApiService.getProfile((profile) => {
expect(profile).toEqual(dummyUserInfo); // you get what i mean
done();
});
});
// directly mock axios
it('delegates to axios', (done) => {
// you should put this to the top to avoid confusion, it will be hoisted
jest.mock('axios', () => ({
create: jest.fn(() => ({
get: jest.fn(() => Promise.resolve()),
})),
}));
ApiService.getProfile((profile) => {
// do some assertion
expect(axiosInstance.get).toHaveBeenCalledTimes(1);
expect(axiosInstance.get).toHaveBeenCalledWith(url, someParam, youGetIt);
done();
});
});
// rmb to test some error case
it('should throw when param is not correct', (done) => { ... });
});
});

How would I test this promise based code with jest?

How would I test this code in jest? I'd like to make sure that the error and success of the passed promise is being called as needed. I'm sure it's something sorta simple, but it's driving me crazy. Thanks very much.
handleStatusChangeRequest (changeEntryStatus) {
return changeEntryStatus().then(() => {
this.handleStatusChangeSuccess()
}).catch(err => {
this.handleErrorDisplay(err)
})
}
If your code uses promises, there is a nice way to handle asynchronous tests. Just return a promise from your test, and Jest will wait for that promise to resolve.
If the promise is rejected, the test will automatically fail.
For example, let's say that changeData, instead of using a callback, returns a promise that is supposed to resolve to the string "status has been successfully modified".
Be sure to return the promise - if you omit this return statement, your test will complete before your changeData() -[async function] completes.
Here's a convenient and easy to follow pattern
test('if the data is changed', () => {
return changeData().then((data) => {
expect(data).toBe('status has been successfully modified');
});
})
Happy testing :)
This could be refactored, but for the sake of demonstration, I left the repeating bits in.
In example.spec.js, the callback, changeEntryStatus, is stubbed to return a promise. In order to check if other instance methods (this.method) were called, they are first mocked, then assertions are called on the mock after running the method being tested. Learn more in the Jest docs. (See my thoughts on mocking methods of the unit being tested at the bottom.)
Run the example on repl.it.
example.js:
class Example {
handleStatusChangeRequest(changeEntryStatus) {
return changeEntryStatus().then(() => {
this.handleStatusChangeSuccess()
}).catch(err => {
this.handleErrorDisplay(err)
})
}
handleStatusChangeSuccess() {
console.log('stubbed handleStatusChangeSuccess')
}
handleErrorDisplay(error) {
console.log('stubbed handleErrorDisplay:', error)
}
}
module.exports = Example;
example.spec.js:
const Example = require('./entryStatus')
describe('handleStatusChangeRequest', () => {
it('should run the changeEntryStatus callback', () => {
const {handleStatusChangeRequest} = new Example()
const stub = jest.fn().mockResolvedValue()
handleStatusChangeRequest(stub)
// must return because handleStatusChangeRequest is asynchronous
return expect(stub).toHaveBeenCalled()
});
it('should call example.handleStatusChangeSuccess', async () => {
const example = new Example()
const stub = jest.fn().mockResolvedValue()
example.handleStatusChangeSuccess = jest.fn()
await example.handleStatusChangeRequest(stub)
expect(example.handleStatusChangeSuccess).toHaveBeenCalled();
})
it('should call example.handleErrorDisplay', async () => {
const example = new Example()
const fakeError = { code: 'fake_error_code' }
const stub = jest.fn().mockRejectedValue(fakeError)
example.handleErrorDisplay = jest.fn()
await example.handleStatusChangeRequest(stub)
expect(example.handleErrorDisplay).toHaveBeenCalled()
expect(example.handleErrorDisplay).toHaveBeenCalledWith(fakeError)
});
});
Opinionated Disclaimer: Mocking methods of the unit under test is a smell. Consider checking for the expected effects of calling handleStatusChangeSuccess and handleErrorDisplay instead of checking to see if they were called. Then don't even expose those methods publicly unless consumers of the class need access.
Opinionated Disclaimer: Mocking methods of the unit under test is a
smell. Consider checking for the expected effects of calling
handleStatusChangeSuccess and handleErrorDisplay instead of checking
to see if they were called. Then don't even expose those methods
publicly unless consumers of the class need access.
I wholeheartedly agree with webprojohn's disclaimer. Mocks are a smell as tests should assert the behavior of the code, not its implementation. Testing the latter makes the code brittle to change.
Stepping off my soapbox... :) We're looking for a way to test an asynchronous method. I'm not sure what assertions your tests should make to verify the behavior inside handleStatusChangeSuccess() and handleErrorDisplay(err) so the example below leaves a comment where those assertions would go. The following uses Promise.resolve() and Promise.reject() to trigger the outcomes to test. I've used async/await, Jest has other async examples in their docs.
const Example = require('./example')
describe('handleStatusChangeRequest', () => {
it('should resolve successfully', async () => {
const {handleStatusChangeRequest} = new Example();
const resolvePromise = () => Promise.resolve();
await handleStatusChangeRequest(resolvePromise);
// resolution assertions here
});
it('should resolve errors', async () => {
const {handleStatusChangeRequest} = new Example();
const fakeError = new Error('eep');
const rejectPromise = () => Promise.reject(fakeError);
// if your method doesn't throw, we can remove this try/catch
// block and the fail() polyfill
try {
await example.handleStatusChangeRequest(rejectPromise);
// if we don't throw our test shouldn't get here, so we
// polyfill a fail() method since Jest doesn't give us one.
// See https://github.com/facebook/jest/issues/2129
expect(true).toBe(false);
}
catch (e) {
// rejection assertions here
}
});
});
The answer I have looks so:
**Success tests
const instance = el.find(EntryToolBar).instance()
const spy = jest.spyOn(instance, 'handleStatusChangeSuccess')
await instance.handleStatusChangeRequest(() => Promise.resolve('cool man'))
expect(spy).toHaveBeenCalledTimes(1)
**Error tests
const instance = el.find(EntryToolBar).instance()
const spy = jest.spyOn(instance, 'handleErrorDisplay')
await instance.handleStatusChangeRequest(() => Promise.reject(Error('shit')))
expect(spy).toHaveBeenCalledTimes(1)
As I stated above, the handleStatusChangeSuccess and handleError methods are test else where with some snapshots (they just set state and render out some different jsx). I feel pretty good about this. I'm using spys/mocks, but I'm testing the implementation functions elsewhere. Sufficient?

jest mocking promise method called wrong number of times

As part of my redux action, it makes several sequential api requests. The apiCall method returns a Promise with some value, and that value is used by a subsequent apiCall to make another request, and so on. I'm using Jest to test these api calls.
const myAPI = {
apiCall(param: any): Promise<any> {
return new Promise((resolve, reject) => {
resolve('result');
});
},
};
const serialAPIRequests = () => {
myAPI.apiCall('first_param')
.then((result) => {
console.log(result);
return myAPI.apiCall(result);
})
.then((result) => {
console.log(result);
return myAPI.apiCall(result);
})
.then((result) => {
console.log(result);
return Promise.resolve(result);
});
};
I am trying to write a test to ensure apiCall has been called the correct number of times and with the right parameters.
describe.only('my test', () => {
it('should test api stuff', () => {
myAPI.apiCall = jest.fn()
.mockReturnValueOnce(Promise.resolve('result1'))
.mockReturnValueOnce(Promise.resolve('result2'))
.mockReturnValueOnce(Promise.resolve('result3'));
serialAPIRequests();
expect(myAPI.apiCall).toHaveBeenCalledTimes(3);
});
});
What happens is that Jest report Expected mock function to have been called three times, but it was called one time.
Jest test result shows that
● Console
console.log
result1
console.log
result2
console.log
result3
● my test › should test api stuff
expect(jest.fn()).toHaveBeenCalledTimes(3)
Expected mock function to have been called three times, but it was called one time.
The fact that console.log showed different values means the mocked return was properly passed through the mock function and it was called 3 times.
What could be causing this and how do I properly test this function?
Use async/await to test async code. Read more here: https://facebook.github.io/jest/docs/en/tutorial-async.html
describe.only('my test', () => {
it('should test api stuff', async () => {
myAPI.apiCall = jest.fn()
.mockReturnValueOnce(Promise.resolve('result1'))
.mockReturnValueOnce(Promise.resolve('result2'))
.mockReturnValueOnce(Promise.resolve('result3'));
await serialAPIRequests();
expect(myAPI.apiCall).toHaveBeenCalledTimes(3);
});
});
Promises are async so by the time you do you check the mock was actually called once.
You could do this instead. Wait for all calls to be done and return a promise to indicate the test is async.
return serialAPIRequests().then(() => {
expect(myAPI.apiCall).toHaveBeenCalledTimes(3);
})

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