Suppose I'm developing a chat app. I have observable threads$ that emits array of threads every n seconds, observable offline$ that notifies when a thread became offline, observable online$ that notifies when a thread became online:
enum ConnectionStatus { Offline = 0, Online }
interface Thread {
id: string;
status: ConnectionStatus
}
const threads$ = Observable
.interval(n)
.switchMap(() => Observable.create((observer: Observer<Array<Thread>>) =>
getThreads((threads: Array<Thread>) => observer.next(threads))));
const online$ = Observable.create((observer: Observer<Thread>) =>
onOnline((threadId: string) => observer.next({
id: threadId,
status: ConnectionStatus.Online
})));
const offline$ = Observable.create((observer: Observer<Thread>) =>
onOffline((threadId: string) => observer.next({
id: threadId,
status: ConnectionStatus.Offline
})));
I want to combine these streams following this rule: threads$ should emit array every n seconds, but whenever online$ or offline$ emits, I want to grab latest value(Array<Threads>) of threads$ and map it by changing status of one thread and emit mapped collection immediately.
I've lost track with Rx's combineLatest, mergeMap, zip and similar, so I would appreciate if someone could help me to implement combining in this case(in more of a Rx-way)
I think you could make it like this using multicast():
const stop$ = Observable.merge(online$, offline$);
threads$
.multicast(new Subject(), obs => Observable.merge(obs, obs.takeUntil(stop$).takeLast(1).map(...)))
.subscribe(...);
I obviously didn't test it but maybe it'll push you the right direction.
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