Open Event Frontend – Settings Service

This blog illustrates how the settings of a particular user are obtained in the Open Event Frontend web app. To access the settings of the user a service has been created which fetches the settings from the endpoint provided by Open Event Server.

Let’s see why a special service was created for this.


In the first step of the event creation wizard, the user has the option to link Paypal or Stripe to accept payments. The option to accept payment through Paypal or Stripe was shown to the user without checking if it was enabled by the admin in his settings. To solve this problem, we needed to access the settings of the admin and check for the required conditions. But since queryRecord() returned a promise we had to re-render the page for the effect to show which resulted in this code:

canAcceptPayPal: computed('data.event.paymentCurrency', function() {     this.get('store').queryRecord('setting', {}) .then(setting => { this.set('canAcceptPayPal', (setting.paypalSandboxUsername || setting.paypalLiveUsername) && find(paymentCurrencies, ['code', this.get('data.event.paymentCurrency')]).paypal); this.rerender(); });

This code was setting a computed property inside it and then re-rendering which is bad programming and can result in weird bugs.


The above problem was solved by creating a service for settings. This made sense as settings would be required at other places as well. The file was called settings.js and was placed in the services folder. Let me walk you through its code.

  • Extend the default Service provided by Ember.js and initialize store, session, authManager and _lastPromise.
import Service, { inject as service } from '@ember/service';
import { observer } from '@ember/object';

export default Service.extend({

 store       : service(),
 session     : service(),
 authManager : service(),

_lastPromise: Promise.resolve(),
  • The main method which fetches results from the server is called _loadSettings(). It is an async method. It queries setting from the server and then iterates through every attribute of the setting model and stores the corresponding value from the fetched result.
* Load the settings from the API and set the attributes as properties on the service
* @return {Promise<void>}
* @private
async _loadSettings() {
 const settingsModel = await this.get('store').queryRecord('setting', {});
 this.get('store').modelFor('setting').eachAttribute(attributeName => {
   this.set(attributeName, settingsModel.get(attributeName));
  • The initialization of the settings service is handled by initialize(). This method returns a promise.
* Initialize the settings service
* @return {*|Promise<void>}
initialize() {
 const promise = this._loadSettings();
 this.set('_lastPromise', promise);
 return promise;
  • _authenticationObserver observes for changes in authentication changes and reloads the settings as required.
* Reload settings when the authentication state changes.
_authenticationObserver: observer('session.isAuthenticated', function() {
   .then(() => this.set('_lastPromise', this._loadSettings()))
   .catch(() => this.set('_lastPromise', this._loadSettings()));

The service we created can be directly used in the app to fetch the settings for the user. To solve the Paypal and Stripe payment problem described above, we use it as follows:

canAcceptPayPal: computed('data.event.paymentCurrency', 'settings.paypalSandboxUsername', 'settings.paypalLiveUsername', function() {
 return (this.get('settings.paypalSandboxUsername') || this.get('settings.paypalLiveUsername')) && find(paymentCurrencies, ['code', this.get('data.event.paymentCurrency')]).paypal;

canAcceptStripe: computed('data.event.paymentCurrency', 'settings.stripeClientId', function() {
 return this.get('settings.stripeClientId') && find(paymentCurrencies, ['code', this.get('data.event.paymentCurrency')]).stripe;

Thus, there is no need to re-render the page and dangerously set the property inside its computed method.


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Adding Push endpoint to send data from Loklak Search to Loklak Server

To provide enriched and sufficient amount of data to Loklak, Loklak Server should have multiple sources of data. The api/push.json endpoint of loklak server is used in Loklak to post the search result object to server. It will increase the amount and quality of data on server once the Twitter api is supported by Loklak (Work is in progress to add support for twitter api in loklak).

Creating Push Service

The idea is to create a separate service for making a Post request to server. First step would be to create a new ‘PushService’ under ‘services/’ using:

ng g service services/push

Creating model for Push Api Response

Before starting to write code for push service, create a new model for the type of response data obtained from Post request to ‘api/push.json’. For this, create a new file push.ts under ‘models/’ with the code given below and export the respective push interface method in index file.

export interface PushApiResponse {
   status: string;
   records: number;
   mps: number;
   message: string;

Writing Post request in Push Service

Next step would be to create a Post request to api/push.json using HttpClient module. Import necessary dependencies and create an object of HttpClient module in constructor and write a PostData() method which would take the data to be send, makes a Post request and returns the Observable of PushApiResponse created above.

import { Injectable } from ‘@angular/core’;
import {
} from ‘@angular/common/http’;
import { Observable } from ‘rxjs’;
import {
} from ‘../models’;

   providedIn: ‘root’
export class PushService {

   constructor( private http: HttpClient ) { }
   public postData(data: ApiResponse):
   		Observable<PushApiResponse> {

	const httpUrl = ‘
	const headers = new HttpHeaders({
		‘Content-Type’: ‘application/
		‘Accept’: ‘application/json’,
		‘cache-control’: ‘no-cache’
	const {search_metadata, statuses} = data;
	// Converting the object to JSON string.
	const dataToSend = JSON.stringify({
		search_metadata: search_metadata,
	// Setting the data to send in
	// HttpParams() with key as ‘data’
	const body = new HttpParams()
		.set(‘data’, dataToSend);
	// Making a Post request to api/push.json
	// endpoint. Response Object is converted
	// to PushApiResponse type.
		httpUrl, body, {headers:


Note: Data (dataToSend) send to backend should be exactly in same format as obtained from server.

Pushing data into service dynamically

Now the main part is to provide the data to be send into the service. To make it dynamic, import the Push Service in ‘api-search.effects.ts’ file under effects and create the object of Push Service in its constructor.

import { PushService } from ‘../services’;
   private pushService: PushService
) { }


Now, call the pushService object inside ‘relocateAfterSearchSuccess$’ effect method and pass the search response data (payload value of search success action) inside Push Service’s postData() method.

relocateAfterSearchSuccess$: Observable<Action>
   = this.actions$
           map(([action, state]) => {

Testing Successful Push to Backend

To test the success of Post request, subscribe to the response data and print the response data on console. You should see something like:

Where each of these is a response of one successful Post request.


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Adding Unit Tests for Services in loklak search

In Loklak search, it can be tricky to write tests for services as these services are customizable and not fixed. Therefore, we need to test every query parameter of the URL. Moreover, we need to test if service is parsing data in a correct manner and returns only data of type ApiResponse.

In this blog here, we are going to see how to build different components for unit testing services. We will be going to test Search service in loklak search which makes Jsonp request to get the response from the loklak search.json API which are displayed as feeds on loklak search. We need to test if the service handles the response in a correct way and if the request parameters are exactly according to customization.

Service to test

Search service in loklak search is one of the most important component in the loklak search. SearchService is a class with a method fetchQuery() which takes parameter and sets up URL parameters for the search.json API of loklak. Now, it makes a JSONP request and maps the API response. The Method fetchQuery() can be called from other components with parameters query and lastRecord to get the response from the server based on a certain search query and the last record to implement pagination feature in loklak search. Now as the data is retrieved, a callback function is called to access the response returned by the API. Now, the response received from the server is parsed to JSON format data to extract data from the response easily.

export class SearchService {
private static readonly apiUrl: URL = new URL(‘’);
private static maximum_records_fetch = 20;
private static minified_results = true;
private static source = ‘all’;
private static fields = ‘created_at,screen_name,mentions,hashtags’;
private static limit = 10;
private static timezoneOffset: string = new Date().getTimezoneOffset().toString();constructor(
private jsonp: Jsonp
) { }// TODO: make the searchParams as configureable model rather than this approach.
public fetchQuery(query: string, lastRecord = 0): Observable<ApiResponse> {
const searchParams = new URLSearchParams();
searchParams.set(‘q’, query);
searchParams.set(‘callback’, ‘JSONP_CALLBACK’);
searchParams.set(‘minified’, SearchService.minified_results.toString());
searchParams.set(‘source’, SearchService.source);
searchParams.set(‘maximumRecords’, SearchService.maximum_records_fetch.toString());
searchParams.set(‘timezoneOffset’, SearchService.timezoneOffset);
searchParams.set(‘startRecord’, (lastRecord + 1).toString());
searchParams.set(‘fields’, SearchService.fields);
searchParams.set(‘limit’, SearchService.limit.toString());
return this.jsonp.get(SearchService.apiUrl.toString(), { search: searchParams })
.map(this.extractData)}private extractData(res: Response): ApiResponse {
try {
return <ApiResponse>res.json();
} catch (error) {

Testing the service

  • Create a mock backend to assure that we are not making any Jsonp request. We need to use Mock Jsonp provider for this. This provider sets up MockBackend and wires up all the dependencies to override the Request Options used by the JSONP request.

const mockJsonpProvider = {
provide: Jsonp,
deps: [MockBackend, BaseRequestOptions],
useFactory: (backend: MockBackend, defaultOptions: BaseRequestOptions) => {
return new Jsonp(backend, defaultOptions);


  • Now, we need to configure the testing module to isolate service from other dependencies. With this, we can instantiate services manually. We have to use TestBed for unit testing and provide all necessary imports/providers for creating and testing services in the unit test.

describe(‘Service: Search’, () => {
let service: SearchService = null;
let backend: MockBackend = null;
beforeEach(() => {
providers: [


  • Now, we will inject Service (to be tested) and MockBackend into the Testing module. As all the dependencies are injected, we can now initiate the connections and start testing the service.

beforeEach(inject([SearchService, MockBackend], (searchService: SearchService, mockBackend: MockBackend) => {
service = searchService;
backend = mockBackend;


  • We will be using it() block to mention about what property/feature we are going to test in the block. All the tests will be included in this block. One of the most important part is to induce callback function done which will close the connection as soon the testing is over.

it(‘should call the search api and return the search results’, (done)=>{
// test goes here


  • Now, we will create a connection to the MockBackend and subscribe to this connection. We need to configure ResponseOptions so that mock response is JSONified and returned when the request is made.  Now, the MockBackend is set up and we can proceed to make assertions and test the service.

const result = MockResponse;
backend.connections.subscribe((connection: MockConnection) => {
const options = new ResponseOptions({
body: JSON.stringify(result)
connection.mockRespond(new Response(options));


  • We can now add test by using expect() block to check if the assertion is true or false. We will now test:
    • Request method: We will be testing if the request method used by the connection created is GET.

    • Request Url: We will be testing if all the URL Search Parameters are correct and according to what we provide as a parameter to the method fetchQuery().

`` +
`?q=${query}` +
`&callback=JSONP_CALLBACK` +
`&minified=true&source=all` +
`&maximumRecords=20&timezoneOffset=${timezoneOffset}` +
`&startRecord=${lastRecord + 1}` +


  • Response:  Now, we need to call the service to make a request to the backend and subscribe to the response returned. Next, we will make an assertion to check if the response returned and parsed by the service is equal the Mock Response that should be returned. At the end, we need to call the callback function done() to close the connection.

.fetchQuery(query, lastRecord)
.subscribe((res) => {


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