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Wait until Pinia is loaded

Immediately launched code getting data from backend and tries to save them in Pinia.
But got an error
getActivePinia was called with no active Pinia. Did you forget to install pinia?
Question: Can I create a function to check if Pinia already ready or not? Is that any flag I can check?
I expected to create a function like this, to check Pinia status in a given amount of time
function isPiniaReady() {
let time = 0;
const timeLimit = 300
const interval = 30;
return new Promise((resolve, reject) => {
const index = setInterval(() => {
// success
if (....<pinia is ready>....) { // <- how to write this condition?
clearInterval(index);
return resolve(true);
}
// fail
if (time >= timeLimit) {
clearInterval(index);
return reject(new Error('Pinia is never ready'));
}
time += interval;
}, interval)
})
}

You shouldn't be having that error if pinia is properly initiated with .use(pinia).
But in rare cases you might need to manual set active pinia with setActivePinia() method: https://pinia.vuejs.org/api/modules/pinia.html#setactivepinia
Not a great example, but an example: https://stackblitz.com/edit/vitejs-vite-52kkxc?file=src/components/DoubleCount.vue

How to call multiple dependent api calls with time intervals using RxJS

I am trying to write a code in angular 11 for a scenario like this -
I have list of files, and for every file I hit an api (say api1), i take an fileId from response and i pass it to another api (say api2),i want to keep on hitting the api2 every 3 seconds,unless i dont get the status="available" in the response. Once i get the available status, i no more need to hit the api2 for that fileId and we can start processing for the next file in loop.
This whole process for every file that I have.
I understand we can achieve this using rxjs operators like mergeMap or switchMap (as the sequence do not matter to me right now) . But i am very new to rxjs and not sure how to put it together.
This is what i am doing right now -
this.filesToUpload.forEach((fileItem) => {
if (!fileItem.uploaded) {
if (fileItem.file.size < this.maxSize) {
self.fileService.translateFile(fileItem.file).then( //hit api1
(response) => {
if (response && get(response, 'status') == 'processing') {
//do some processing here
this.getDocumentStatus(response.fileId);
}
},
(error) => {
//show error
}
);
}
}
});
getDocumentStatus(fileId:string){
this.docStatusSubscription = interval(3000) //hitting api2 for every 3 seconds
.pipe(takeWhile(() => !this.statusProcessing))
.subscribe(() => {
this.statusProcessing = false;
this.fileService.getDocumentStatus(fileId).then((response)=>{
if(response.results.status=="available"){
this.statusProcessing = true;
//action complete for this fileId
}
},(error)=>{
});
})
}

Here's how I might do this given the description of what you're after.
Create a list of observables of all the calls you want to make.
Concatenate the list together
Subscribe
The thing that makes this work is that we only subscribe once (not once per file), and we let the operators handle subscribing and unsubscribing for everything else.
Then nothing happens until we subscribe. That way concat can do the heavy lifting for us. There's no need for tracking anything ourselves with variables like this.statusProessing or anything like that. That's all handled for us! It's less error prone that way.
// Create callList. This is an array of observables that each hit the APIs and only
// complete when status == "available".
const callList = this.filesToUpload
.filter(fileItem => !fileItem.uploaded && fileItem.file.size < this.maxSize)
.map(fileItem => this.createCall(fileItem));
// concatenate the array of observables by running each one after the previous one
// completes.
concat(...callList).subscribe({
complete: () => console.log("All files have completed"),
error: err => console.log("Aborted call list due to error,", err)
});
createCall(fileItem: FileItemType): Observable<never>{
// Use defer to turn a promise into an observable
return defer(() => this.fileService.translateFile(fileItem.file)).pipe(
// If processing, then wait untill available, otherwise just complete
switchMap(translateFileResponse => {
if (translateFileResponse && get(translateFileResponse, 'status') == 'processing') {
//do some processing here
return this.delayByDocumentStatus(translateFileResponse.fileId);
} else {
return EMPTY;
}
}),
// Catch and then rethrow error. Right now this doesn't do anything, but If
// you handle this error here, you won't abort the entire call list below on
// an error. Depends on the behaviour you're after.
catchError(error => {
// show error
return throwError(() => error);
})
);
}
delayByDocumentStatus(fileId:string): Observable<never>{
// Hit getDocumentStatus every 3 seconds, unless it takes more
// than 3 seconds for api to return response, then wait 6 or 9 (etc)
// seconds.
return interval(3000).pipe(
exhaustMap(_ => this.fileService.getDocumentStatus(fileId)),
takeWhile(res => res.results.status != "available"),
ignoreElements(),
tap({
complete: () => console.log("action complete for this fileId: ", fileId)
})
);
}

How to call API every 2 seconds until desired result or timeout in async function

I need to call an api to get a status every 2 seconds if the response is running and first return when response is either complete or failed, or until 30 seconds have passed and the function times out.
This is what I have now which works, but I am sure it can be done much more efficient, but I simply can't figure it out at this point:
const getStatus = async (processId) => {
try {
const response = await fetch(`example.com/api/getStatus/${processId}`);
const status = await response.json();
return await status;
} catch(err) {
// handle error
}
}
Inside another async function using getStatus():
randomFunction = async () => {
let status = null;
let tries = 0;
let stop = false;
while (tries <= 15 && !stop) {
try {
status = await getStatus('some-process-id');
if (status === 'complete') {
stop = true;
// do something outside of loop
}
if (status === 'failed') {
stop = true;
throw Error(status);
}
if (tries === 15) {
stop = true;
throw Error('Request timed out');
}
} catch (err) {
// handle error
}
const delay = time => new Promise(resolve => setTimeout(() => resolve(), time));
if (tries < 15) {
await delay(2000);
}
tries++;
}
}
I would prefer to handle the looping inside getStatus() and in a more readable format, but is it possible?
EDIT:
I tried a solution that looks better and seems to work as I expect, see it here:
https://gist.github.com/AntonBramsen/6cec0faade032dfa3c175b7d291e07bd
Let me know if parts of the solution contains any solutions that are bad practice.

Your question is for javascript. Unfortunately I don't drink coffee, I can only give you the code in C#. But I guess you get the gist and can figure out how to translate this into java
Let's do this as a generic function:
You have a function that is called every TimeSpan, and you want to stop calling this function whenever the function returns true, you want to cancel, whenever some maximum time has passed.
For this maximum time I use a CancellationToken, this allows you to cancel processing for more reasons than timeout. For instance, because the operator wants to close the program.
TapiResult CallApi<TapiResult> <Func<TapiResult> apiCall,
Func<TapiResult, bool> stopCriterion,
CancellationToken cancellationToken)
{
TapiResult apiResult = apiCall;
while (!stopCriterion(apiResult))
{
cancellationToken.ThrowIfCancellationRequested();
Task.Delay(delayTime, cancellationToken).Wait;
apiResult = apiCall;
}
return apiResult;
}
ApiCall is the Api function to call. The return value is a TApiResult. In your case the status is your TApiResult
StopCriterion is a function with input ApiResult and output a boolean that is true when the function must stop. In your case this is when status equals complete or failed
CancellationToken is the Token you can get from a CancellationTokenSource. Whenever you want the procedure to stop processing, just tell the CancellationTokenSource, and the function will stop with a CancellationException
Suppose this is your Api:
Status MyApiCall(int x, string y) {...}
Then the usage is:
Timespan maxProcessTime = TimeSpan.FromSeconds(45);
var cancellationTokenSource = new CancellationTokenSource();
// tell the cancellationTokenSource to stop processing afer maxProcessTime:
cancellationTokenSource.CancelAfter(maxProcessTime);
// Start processing
Status resultAfterProcessing = CallApi<Status>(
() => MyApiCall (3, "Hello World!"), // The Api function to call repeatedly
// it returns a Status
(status) => status == complete // stop criterion: becomes true
|| status == failed, // when status complete or failed
cancellationTokenSource.Token); // get a token from the token source
TODO: add try / catch for CancellationException, and process what should be done if the task cancels
The function will stop as soon as the stopCriterion becomes true, or when the CancellationTokenSource cancels. This will automatically be done after maxTimeOut. However, if you want to stop earlier, for instance because you want to stop the program:
cancellationTokenSource.Cancel();

Toggling API call by a stream

Here:
import Rx from 'rxjs';
function fakeApi(name, delay, response) {
return new Rx.Observable(observer => {
console.log(`${name}: Request.`)
let running = true;
const id = setTimeout(() => {
console.log(`${name}: Response.`)
running = false;
observer.next(response);
observer.complete();
}, delay);
return () => {
if(running) console.log(`${name}: Cancel.`)
clearTimeout(id);
}
})
}
function apiSearch() { return fakeApi('Search', 4000, "This is a result of the search."); }
//============================================================
const messages$ = new Rx.Subject();
const toggle$ = messages$.filter(m => m === 'toggle');
const searchDone$ = toggle$.flatMap(() =>
apiSearch().takeUntil(toggle$)
);
searchDone$.subscribe(m => console.log('Subscriber:', m))
setTimeout(() => {
// This one starts the API call.
toggle$.next('toggle');
}, 2000)
setTimeout(() => {
// This one should only cancel the API call in progress, not to start a new one.
toggle$.next('toggle');
}, 3000)
setTimeout(() => {
// And this should start a new request again...
toggle$.next('toggle');
}, 9000)
my intent is to start the API call and stop it when it is in progress by the same toggle$ signal. Problem with the code is that toggle$ starts a new API call every time. I would like it not to start the new call when there is one already running, just to stop the one which is already in progress. Some way should I "unsubscribe" the outermost flatMap from toggle$ stream while apiSearch() is running. I guess that there is a need to restructure the code to achieve the behaviour... What is the RxJS way of doing that?
UPDATE: After some more investigations and user guide lookups, I came with this:
const searchDone$ = toggle$.take(1).flatMap(() =>
apiSearch().takeUntil(toggle$)
).repeat()
Works like it should. Still feels cryptic a little bit. Is this how you RxJS guys would solve it?

I think your solution will work only once since you're using take(1). You could do it like this:
const searchDone$ = toggle$
.let(observable => {
let pending;
return observable
.switchMap(() => {
let innerObs;
if (pending) {
innerObs = Observable.empty();
} else {
pending = innerObs = apiSearch();
}
return innerObs.finally(() => pending = null);
});
});
I'm using let() only to wrap pending without declaring it in parent scope. The switchMap() operator unsubscribes for you automatically without using take*().
The output with your test setTimeouts will be as follows:
Search: Request.
Search: Cancel.
Search: Request.
Search: Response.
Subscriber: This is a result of the search.

RxJS: show loading if request is slow

I thought of using RxJS to solve elegantly this problem, but after trying various approaches, I couldn't find out how to do it...
My need is quite common: I do a Rest call, ie. I have a Promise.
If the response comes quickly, I just want to use the result.
If it is slow to come, I want to display a spinner, until the request completes.
This is to avoid a flash of a the spinner, then the data.
Maybe it can be done by making two observables: one with the promise, the other with a timeout and showing the spinner as side effect.
I tried switch() without much success, perhaps because the other observable doesn't produce a value.
Has somebody implemented something like that?

Based on #PhiLho's answer, I wrote a pipeable operator, which does exactly that:
export function executeDelayed<T>(
fn : () => void,
delay : number,
thisArg? : any
) : OperatorFunction<T, T> {
return function executeDelayedOperation(source : Observable<T>) : Observable<T> {
let timerSub = timer(delay).subscribe(() => fn());
return source.pipe(
tap(
() => {
timerSub.unsubscribe();
timerSub = timer(delay).subscribe(() => fn());
},
undefined,
() => {
timerSub.unsubscribe();
}
)
);
}
}
Basically it returns a function, which gets the Observable source.
Then it starts a timer, using the given delay.
If this timer emits a next-event, the function is called.
However, if the source emits a next, the timer is cancelled and a new one is startet.
In the complete of the source, the timer is finally cancelled.
This operator can then be used like this:
this.loadResults().pipe(
executeDelayed(
() => this.startLoading(),
500
)
).subscribe(results => this.showResult())
I did not wirte many operators myself, so this operator-implementation might not be the best, but it works.
Any suggestions on how to optimize it are welcome :)
EDIT:
As #DauleDK mentioned, a error won't stop the timer in this case and the fn will be called after delay. If thats not what you want, you need to add an onError-callback in the tap, which calls timerSub.unsubscribe():
export function executeDelayed<T>(
fn : () => void,
delay : number,
thisArg? : any
) : OperatorFunction<T, T> {
return function executeDelayedOperation(source : Observable<T>) : Observable<T> {
let timerSub = timer(delay).subscribe(() => fn());
return source.pipe(
tap(
() => {
timerSub.unsubscribe();
timerSub = timer(delay).subscribe(() => fn());
},
() => timerSub.unsubscribe(), // unsubscribe on error
() => timerSub.unsubscribe()
)
);
}
}

Here is an example that I have used. We assume here that you get the data that you want to send to the server as an Observable as well, called query$. A query coming in will then trigger the loadResults function, which should return a promise and puts the result in the results$ observable.
Now the trick is to use observable$.map(() => new Date()) to get the timestamp of the last emitted value.
Then we can compare the timestamps of the last query and the last response that came in from the server.
Since you also wanted to not only show a loading animation, but wanted to wait for 750ms before showing the animation, we introduce the delayed timestamp. See the comments below for a bit more explanation.
At the end we have the isLoading$ Observable that contains true or false. Subscribe to it, to get notified when to show/hide the loading animation.
const query$ = ... // From user input.
const WAIT_BEFORE_SHOW_LOADING = 750;
const results$ = query$.flatMapLatest(loadResults);
const queryTimestamp$ = query$.map(() => new Date());
const resultsTimestamp$ = results$.map(() => new Date());
const queryDelayTimestamp$ = (
// For every query coming in, we wait 750ms, then create a timestamp.
query$
.delay(WAIT_BEFORE_SHOW_LOADING)
.map(() => new Date())
);
const isLoading$ = (
queryTimestamp$.combineLatest(
resultsTimestamp$,
queryDelayTimestamp$,
(queryTimestamp, resultsTimestamp, delayTimestamp) => {
return (
// If the latest query is more recent than the latest
// results we got we can assume that
// it's still loading.
queryTimestamp > resultsTimestamp &&
// But only show the isLoading animation when delay has passed
// as well.
delayTimestamp > resultsTimestamp
);
}
)
.startWith(false)
.distinctUntilChanged()
);

OK, thinking more about it in my commuting, I found a solution...
You can find my experiment ground at http://plnkr.co/edit/Z3nQ8q
In short, the solution is to actually subscribe to the observable handing the spinner (instead of trying to compose it in some way).
If the result of the Rest request comes before the observable fires, we just cancel the spinner's disposable (subscription), so it does nothing.
Otherwise, the observable fires and display its spinner. We can then just hide it after receiving the response.
Code:
function test(loadTime)
{
var prom = promiseInTime(loadTime, { id: 'First'}); // Return data after a while
var restO = Rx.Observable.fromPromise(prom);
var load = Rx.Observable.timer(750);
var loadD = load.subscribe(
undefined,
undefined,
function onComplete() { show('Showing a loading spinner'); });
restO.subscribe(
function onNext(v) { show('Next - ' + JSON.stringify(v)); },
function onError(e) { show('Error - ' + JSON.stringify(e)); loadD.dispose(); },
function onComplete() { show('Done'); loadD.dispose(); }
);
}
test(500);
test(1500);
Not sure if that's an idiomatic way of doing this with RxJS, but it seems to work...
Other solutions are welcome, of course.

Just before fetching the data, ie. creating the spinner, set timeout for a function, which creates the spinner. Lets say you are willing to wait half a second, until showing spinner... it would be something like:
spinnerTimeout = setTimeout(showSpinner, 500)
fetch(url).then(data => {
if (spinner) {
clearTimeout(spinnerTimeout) //this is critical
removeSpinnerElement()
}
doSomethingWith(data)
});
EDIT: if it's not obvious, clearTimer stops the showSpinner from executing, if the data arrived sooner than 500ms(ish).

Here is my solution :
public static addDelayedFunction<T>(delayedFunction: Function, delay_ms: number): (mainObs: Observable<T>) => Observable<T> {
const stopTimer$: Subject<void> = new Subject<void>();
const stopTimer = (): void => {
stopTimer$.next();
stopTimer$.complete();
};
const catchErrorAndStopTimer = (obs: Observable<T>): Observable<T> => {
return obs.pipe(catchError(err => {
stopTimer();
throw err;
}));
};
const timerObs: Observable<any> = of({})
.pipe(delay(delay_ms))
.pipe(takeUntil(stopTimer$))
.pipe(tap(() => delayedFunction()));
return (mainObs: Observable<T>) => catchErrorAndStopTimer(
of({})
.pipe(tap(() => timerObs.subscribe()))
.pipe(mergeMap(() => catchErrorAndStopTimer(mainObs.pipe(tap(stopTimer)))))
);
}