ngFor not update template and code in combineLatest run many times - javascript

I have a template
<div *ngFor="let item of list">
{{item.name}}
</div>
Then in ts code.
ngOnInit() {
const s0 = this.service.getList(this.id);
const s2 = this.service.getOthers(this.id);
combineLatest([s0, s1]).subscribe(([r0, r1]) => {
this.list = r0;
console.log('service is called');
}
}
In another place, I have a button click event to add a new item to the list.
addItemToList(item: any) {
this.service.addItem(item).subscribe(
value => {
console.log(value);
// then reload page by calling get list again
this.service.getList(this.id).subscribe(
res => this.list = res; // I want to refresh the view by this new list
console.log(res);
);
}
);
}
I am sure I added the new item successfully. But the view is not updating and the line console.log('service is called') in combineLatest was called many times. So the list is still the value when first time loading.(this.list = r0)
I can only update the view by click F5. I have tried ngZone or ChangeDetectorRef. Just not working....

It looks like you're trying to output two responses from your subscribe in
combineLatest([s0, s1]).subscribe(([r0, r1]) => {
this.list = r0;
console.log('service is called');
}
I think you need to have one response from your subscribe. Then split it after like:
combineLatest([s0, s1]).subscribe(res => {
this.list = res;
***split data***
console.log('service is called');
}
However if you want to differentiate the two observables you may have to nest their data in an object as when they are combined they will be returned as one response. Or you may not want to use combineLatest as it combines them.

I figured it out by myself. Just add take(1)
Before:
combineLatest([s0, s1]).subscribe(([r0, r1])
After:
combineLatest([s0, s1]).pipe(take(1)).subscribe(([r0, r1])

Related

Add streams dynamically to combined stream (eg forkJoin)

My function (lets call it myFunction) is getting an array of streams (myFunction(streams: Observable<number>[])). Each of those streams produces values from 1 to 100, which acts as a progress indicator. When it hits 100 it is done and completed. Now, when all of those observables are done I want to emit a value. I could do it this way:
public myFunction(streams: Observable<number>[]) {
forkJoin(streams).subscribe(_values => this.done$.emit());
}
This works fine, but imagine following case:
myFunction gets called with 2 streams
one of those streams is done, second one is still progressing
myFunction gets called (again) with 3 more streams (2nd one from previous call is still progressing)
I'd like to somehow add those new streams from 3rd bullet to the "queue", which would result in having 5 streams in forkJoin (1 completed, 4 progressing).
I've tried multiple approaches but can't get it working anyhow... My latest approach was this:
private currentProgressObs: Observable<any> | null = null;
private currentProgressSub: Subscription | null = null;
public myFunction(progressStreams: Observable<number>[]) {
const isUploading = this.cumulativeUploadProgressSub && !this.cumulativeUploadProgressSub.closed;
const currentConcatObs = this.currentProgressObs?.pipe(concatAll());
const currentStream = isUploading && this.currentProgressObs ? this.currentProgressObs : of([100]);
if (this.currentProgressSub) {
this.currentProgressSub.unsubscribe();
this.currentProgressSub = null;
}
this.currentProgressObs = forkJoin([currentStream, ...progressStreams]);
this.currentProgressSub = this.currentProgressObs.subscribe(
_lastProgresses => {
this._isUploading$.next(false); // <----- this is the event I want to emit when all progress is completed
this.currentProgressSub?.unsubscribe();
this.currentProgressSub = null;
this.currentProgressObs = null;
},
);
}
Above code only works for the first time. Second call to the myFunction will never emit the event.
I also tried other ways. I've tried recursion with one global stream array, in which I can add streams while the subscription is still avctive but... I failed. How can I achieve this? Which operator and in what oreder should I use? Why it will or won't work?
Here is my suggestion for your issue.
We will have two subjects, one to count the number of request being processed (requestsInProgress) and one more to mange the requests that are being processed (requestMerger)
So the thing that will do is whenever we want to add new request we will pass it to the requestMerger Subject.
Whenever we receive new request for processing in the requestMerger stream we will first increment the requestInProgress counter and after that we will merge the request itself in the source observable. While merging the new request/observable to the source we will also add the finalize operator in order to track when the request has been completed (reached 100), and when we hit the completion criteria we will decrement the request counter with the decrementCounter function.
In order to emit result e.g. to notify someone else in the app for the state of the pending requests we can subscribe to the requestsInProgress Subject.
You can test it out either here or in this stackBlitz
let {
interval,
Subject,
BehaviorSubject
} = rxjs
let {
mergeMap,
map,
takeWhile,
finalize,
first,
distinctUntilChanged
} = rxjs.operators
// Imagine next lines as a service
// Subject responsible for managing strems
let requestMerger = new Subject();
// Subject responsible for tracking streams in progress
let requestsInProgress = new BehaviorSubject(0);
function incrementCounter() {
requestsInProgress.pipe(first()).subscribe(x => {
requestsInProgress.next(x + 1);
});
}
function decrementCounter() {
requestsInProgress.pipe(first()).subscribe(x => {
requestsInProgress.next(x - 1);
});
}
// Adds request to the request being processed
function addRequest(req) {
// The take while is used to complete the request when we have `value === 100` , if you are dealing with http-request `takeWhile` might be redudant, because http request complete by themseves (e.g. the finalize method of the stream will be called even without the `takeWhile` which will decrement the requestInProgress counter)
requestMerger.next(req.pipe(takeWhile(x => x < 100)));
}
// By subscribing to this stream you can determine if all request are processed or if there are any still pending
requestsInProgress
.pipe(
map(x => (x === 0 ? "Loaded" : "Loading")),
distinctUntilChanged()
)
.subscribe(x => {
console.log(x);
document.getElementById("loadingState").innerHTML = x;
});
// This Subject is taking care to store or request that are in progress
requestMerger
.pipe(
mergeMap(x => {
// when new request is added (recieved from the requestMerger Subject) increment the requrest being processed counter
incrementCounter();
return x.pipe(
finalize(() => {
// when new request has been completed decrement the requrest being processed counter
decrementCounter();
})
);
})
)
.subscribe(x => {
console.log(x);
});
// End of fictional service
// Button that adds request to be processed
document.getElementById("add-stream").addEventListener("click", () => {
addRequest(interval(1000).pipe(map(x => x * 25)));
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/rxjs/6.6.6/rxjs.umd.min.js"></script>
<div style="display:flex">
<button id="add-stream">Add stream</button>
<h5>Loading State: <span id="loadingState">false</span> </h5>
</div>
Your problem is that each time your call your function, you are creating a new observable. Your life would be much easier if all calls of your function pushed all upload jobs through the same stream.
You can achieve this using a Subject.
I would suggest you push single "Upload Jobs" though a simple subject and design an observable that emits the state of all upload jobs whenever anything changes: A simple class that offers a createJob() method to submit jobs, and a jobs$ observable to reference the state:
class UploadService {
private jobs = new Subject<UploadJob>();
public jobs$ = this.jobs.pipe(
mergeMap(job => this.processJob(job)),
scan((collection, job) => collection.set(job.id, job), new Map<string, UploadJob>()),
map(jobsMap => Array.from(jobsMap.values()))
);
constructor() {
this.jobs$.subscribe();
}
public createJob(id: string) {
this.jobs.next({ id, progress: 0 });
}
private processJob(job: UploadJob) {
// do work and return observable that
// emits updated status of UploadJob
}
}
Let's break it down:
jobs is a simple subject, that we can push "jobs" through
createJob simply calls jobs.next() to push the new job through the stream
jobs$ is where all the magic happens. It receives each UploadJob and uses:
mergeMap to execute whatever function actually does the work (I called it processJob() for this example) and emits its values into the stream
scan is used to accumulate these UploadJob emissions into a Map (for ease of inserting or updating)
map is used to convert the map into an array (Map<string, UploadJob> => UploadJob[])
this.jobs$.subscribe() is called in the constructor of the class so that jobs will be processed
Now, we can easily derive your isUploading and cumulativeProgress from this jobs$ observable like so:
public isUploading$ = this.jobs$.pipe(
map(jobs => jobs.some(j => j.progress !== 100)),
distinctUntilChanged()
);
public progress$ = this.jobs$.pipe(
map(jobs => {
const current = jobs.reduce((sum, j) => sum + j.progress, 0) / 100;
const total = jobs.length ?? current;
return current / total;
})
);
Here's a working StackBlitz demo.

RxJS: forkJoin seems not working

I'm currently using combineLatest() method to get all my friends and make it as a list. However, it produces an ordering issue when I try to remove an item from the beginning. (View does not render correctly) Therefore, I'd like to switch from combineLatest() to forkJoin() to get all the friends at once.
import { Observable } from 'rxjs/Observable';
import 'rxjs/add/observable/forkJoin';
friends$: Observable<User[]>;
getMyFriendList() {
this.friends$ = this.userService.getMyFriendsId().switchMap(friendKeys => {
return Observable.forkJoin(friendKeys.map(user => this.userService.getFriends(user.key)));
});
}
But nothing happens when I call forkJoin(). What am I doing wrong here?
getMyFriendsId() {
let friendRef = this.getFriendRef(this.currentUserId);
this.friends$ = friendRef.snapshotChanges().map(actions => {
return actions.map(a => ({ key: a.payload.doc.id, ...a.payload.doc.data()}));
});
return this.friends$;
}
getFriends(uid: string) {
return this.getUsersRef(uid).valueChanges();
}
EDIT
getMyFriendsId() updates a new data when a logged in user remove another user in the friend list.
<ion-list>
<ion-list-header>Friends <span class="total-friends"></span></ion-list-header>
<ion-item-sliding *ngFor="let user of friends$ | async">
<ion-item *ngIf="user" (click)="viewUserProfile(user)">
<ion-avatar (click)="showOriginalAvatarImage()" item-start>
<img-loader [src]="user.thumbnailURL" [spinner]="true"></img-loader>
</ion-avatar>
<h2>{{user.displayName}}</h2>
<p>{{user.statusMessage}}</p>
</ion-item>
...
<ion-list>
Lifecycle event
ionViewWillEnter() {
// Runs when the page is about to enter and become the active page.;
this.getMyFriendList();
}
.forkJoin() combines all the observables, and will only emit the values if all observables are COMPLETED. The reason your code doesn't work is because a you are using valueChanges(), and it is a type of event that will never complete -- they are forever listening to the changes of the value!
If you really want to use .forkJoin (or to prove the point), add a take(1) into your valueChanges:
getFriends(uid: string) {
return this.getUsersRef(uid).valueChanges().take(1);
}
The above code will work because it forcefully completes the observable with take(), but obviously will defeat the purpose because your code will only work once. Conclusion is if you want to keep on observing for a change of a particular value, and combine it with another observable, yes, use combineLatest()

Angular 2 Observables - Empty response on action still shows data in array

I have this function that aggregates some user data from Firebase in order to build a "friend request" view. On page load, the correct number of requests show up. When I click an "Accept" button, the correct connection request gets updated which then signals to run this function again, since the user is subscribed to it. The only problem is that once all of the friend requests are accepted, the last remaining user stays in the list and won't go away, even though they have already been accepted.
Here is the function I'm using to get the requests:
getConnectionRequests(userId) {
return this._af.database
.object(`/social/user_connection_requests/${userId}`)
// Switch to the joined observable
.switchMap((connections) => {
// Delete the properties that will throw errors when requesting
// the convo keys
delete connections['$key'];
delete connections['$exists'];
// Get an array of keys from the object returned from Firebase
let connectionKeys = Object.keys(connections);
// Iterate through the connection keys and remove
// any that have already been accepted
connectionKeys = connectionKeys.filter(connectionKey => {
if(!connections[connectionKey].accepted) {
return connectionKey;
}
})
return Observable.combineLatest(
connectionKeys.map((connectionKey => {
return this._af.database.object(`/social/users/${connectionKey}`)
}))
);
});
}
And here is the relevant code in my Angular 2 view (using Ionic 2):
ionViewDidLoad() {
// Get current user (via local storage) and get their pending requests
this.storage.get('user').then(user => {
this._connections.getConnectionRequests(user.id).subscribe(requests => {
this.requests = requests;
})
})
}
I feel I'm doing something wrong with my observable and that's why this issue is happening. Can anyone shed some light on this perhaps? Thanks in advance!
I think you nailed it in your comment. If connectionKeys is an empty array calling Observable.combineLatest is not appropriate:
import 'rxjs/add/observable/of';
if (connectionKeys.length === 0) {
return Observable.of([]);
}
return connectionKeyObservable.combineLatest(
connectionKeys.map(connectionKey =>
this._af.database.object(`/social/users/${connectionKey}`)
)
);

RxJS and React multiple clicked elements to form single data array

So I just started trying to learn rxjs and decided that I would implement it on a UI that I'm currently working on with React (I have time to do so, so I went for it). However, I'm still having a hard time wrapping my head around how it actually works... Not only "basic" stuff like when to actually use a Subject and when to use an Observable, or when to just use React's local state instead, but also how to chain methods and so on. That's all too broad though, so here's the specific problem I have.
Say I have a UI where there's a list of filters (buttons) that are all clickeable. Any time I click on one of them I want to, first of all, make sure that the actions that follow will debounce (as to avoid making network requests too soon and too often), then I want to make sure that if it's clicked (active), it will get pushed into an array and if it gets clicked again, it will leave the array. Now, this array should ultimately include all of the buttons (filters) that are currently clicked or selected.
Then, when the debounce time is done, I want to be able to use that array and send it via Ajax to my server and do some stuff with it.
import React, { Component } from 'react';
import * as Rx from 'rx';
export default class CategoryFilter extends Component {
constructor(props) {
super(props);
this.state = {
arr: []
}
this.click = new Rx.Subject();
this.click
.debounce(1000)
// .do(x => this.setState({
// arr: this.state.arr.push(x)
// }))
.subscribe(
click => this.search(click),
e => console.log(`error ---> ${e}`),
() => console.log('completed')
);
}
search(id) {
console.log('search --> ', id);
// this.props.onSearch({ search });
}
clickHandler(e) {
this.click.onNext(e.target.dataset.id);
}
render() {
return (
<section>
<ul>
{this.props.categoriesChildren.map(category => {
return (
<li
key={category._id}
data-id={category._id}
onClick={this.clickHandler.bind(this)}
>
{category.nombre}
</li>
);
})}
</ul>
</section>
);
}
}
I could easily go about this without RxJS and just check the array myself and use a small debounce and what not, but I chose to go this way because I actually want to try to understand it and then be able to use it on bigger scenarios. However, I must admit I'm way lost about the best approach. There are so many methods and different things involved with this (both the pattern and the library) and I'm just kind of stuck here.
Anyways, any and all help (as well as general comments about how to improve this code) are welcome. Thanks in advance!
---------------------------------UPDATE---------------------------------
I have implemented a part of Mark's suggestion into my code, but this still presents two problems:
1- I'm still not sure as to how to filter the results so that the array will only hold IDs for the buttons that are clicked (and active). So, in other words, these would be the actions:
Click a button once -> have its ID go into array
Click same button again (it could be immediately after the first
click or at any other time) -> remove its ID from array.
This has to work in order to actually send the array with the correct filters via ajax. Now, I'm not even sure that this is a possible operation with RxJS, but one can dream... (Also, I'm willing to bet that it is).
2- Perhaps this is an even bigger issue: how can I actually maintain this array while I'm on this view. I'm guessing I could use React's local state for this, just don't know how to do it with RxJS. Because as it currently is, the buffer returns only the button/s that has/have been clicked before the debounce time is over, which means that it "creates" a new array each time. This is clearly not the right behavior. It should always point to an existing array and filter and work with it.
Here's the current code:
import React, { Component } from 'react';
import * as Rx from 'rx';
export default class CategoryFilter extends Component {
constructor(props) {
super(props);
this.state = {
arr: []
}
this.click = new Rx.Subject();
this.click
.buffer(this.click.debounce(2000))
.subscribe(
click => console.log('click', click),
e => console.log(`error ---> ${e}`),
() => console.log('completed')
);
}
search(id) {
console.log('search --> ', id);
// this.props.onSearch({ search });
}
clickHandler(e) {
this.click.onNext(e.target.dataset.id);
}
render() {
return (
<section>
<ul>
{this.props.categoriesChildren.map(category => {
return (
<li
key={category._id}
data-id={category._id}
onClick={this.clickHandler.bind(this)}
>
{category.nombre}
</li>
);
})}
</ul>
</section>
);
}
}
Thanks, all, again!
Make your filter items an Observable streams of click events using Rx.Observable.fromevent (see https://github.com/Reactive-Extensions/RxJS/blob/master/doc/gettingstarted/events.md#converting-a-dom-event-to-a-rxjs-observable-sequence) - it understands a multi-element selector for the click handling.
You want to keep receiving click events until a debounce has been hit (user has enabled/disabled all filters she wants to use). You can use the Buffer operator for this with a closingSelector which needs to emit a value when to close the buffer and emit the buffered values.
But leaves the issue how to know the current actual state.
UPDATE
It seems to be far easier to use the .scan operator to create your filterState array and debounce these.
const sources = document.querySelectorAll('input[type=checkbox]');
const clicksStream = Rx.Observable.fromEvent(sources, 'click')
.map(evt => ({
name: evt.target.name,
enabled: evt.target.checked
}));
const filterStatesStream = clicksStream.scan((acc, curr) => {
acc[curr.name] = curr.enabled;
return acc
}, {})
.debounce(5 * 1000)
filterStatesStream.subscribe(currentFilterState => console.log('time to do something with the current filter state: ', currentFilterState);
(https://jsfiddle.net/crunchie84/n1x06016/6/)
Actually, your problem is about RxJS, not React itself. So it is easy. Suppose you have two function:
const removeTag = tagName =>
tags => {
const index = tags.indexOf(index)
if (index !== -1)
return tags
else
return tags.splice(index, 1, 0)
}
const addTag = tagName =>
tags => {
const index = tags.indexOf(index)
if (index !== -1)
return tags.push(tagName)
else
return tags
}
Then you can either using scan:
const modifyTags$ = new Subject()
modifyTags$.pipe(
scan((tags, action) => action(tags), [])
).subscribe(tags => sendRequest(tags))
modifyTags$.next(addTag('a'))
modifyTags$.next(addTag('b'))
modifyTags$.next(removeTag('a'))
Or having a separate object for tags:
const tags$ = new BehaviorSubject([])
const modifyTags$ = new Subject()
tags$.pipe(
switchMap(
tags => modifyTags$.pipe(
map(action => action(tags))
)
)
).subscribe(tags$)
tags$.subscribe(tags => sendRequest(tags))

Filter Observable by Observable

I want to make sure that Observable.subscribe() doesn't get executed if a different Observable yields true.
An example use case would be making sure that user can trigger a download only if the previous one has finished (or failed) and there's only one download request executed at a time.
In order to control the execution flow, I had to rely on a state variable which seems a bit odd to me - is this a good pattern? In a v. likely case that it isn't - what would be a better approach?
I ended up with two subscriptions: Actions.sync (using a Subject, public API, initialises a sync request) and isActive (resolves to true or `false, the name should be pretty self-explanatory.
let canDownload = true; // this one feels really, really naughty
const startedSyncRequests = new Rx.Subject();
const isActiveSync = startedSyncRequests.map(true)
.merge(completeSyncRequests.map(false))
.merge(failedSyncRequests.map(false))
.startWith(false)
.subscribe(isActive => canDownload = !isActive)
syncResources = ()=>{
startedSyncRequests.onNext();
// Mocked async job
setTimeout(()=> {
completeSyncRequests.onNext();
}, 1000);
};
Actions.sync
.filter( ()=> canDownload ) // so does this
.subscribe( syncResources );
You want exclusive().
Actions.sync
.map(() => {
//Return a promise or observable
return Rx.Observable.defer(() => makeAsyncRequest());
})
.exclusive()
.subscribe(processResults);
The above will generate an observable every time the user makes a request. However, exclusive will drop any observables that come in before the previous one has completed, and then flattens the resulting messages into a single observable.
Working example (using interval and delay):
var interval = Rx.Observable.interval(1000).take(20);
interval
.map(function(i) {
return Rx.Observable.return(i).delay(1500);
})
.exclusive()
//Only prints every other item because of the overlap
.subscribe(function(i) {
var item = $('<li>' + i + '</li>');
$('#thelist').append(item);
});
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/rxjs/2.5.3/rx.all.js"></script>
<div>
<ul id="thelist">
</ul>
</div>
Reference: here

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