I already tried a bunch of different ways and none of them work.
(First of all im using this, and works with other methods, like create/delete user, create group etc etc)
public void startKeycoak(String username, String password) {
Keycloak kc = KeycloakBuilder.builder()
.serverUrl(uri)
.realm(realmName)
.username(username)
.password(password)
.clientId(client)
.resteasyClient(
new ResteasyClientBuilder()
.connectionPoolSize(10).build())
.build();
this.kc = kc;
}
Problem starts here:
public void deleteGroup(String groupName) {
GroupRepresentation groupRepresentation = kc.realm(realmName)
.groups()
.groups()
.stream()
.filter(group -> group.getName().equals(groupName)).collect(Collectors.toList()).get(0);
// kc.realm(realmName).groups().group(existingGroups.getName()).remove(); -> Not Working
// boolean a = kc.realm(realmName).groups().groups().remove(groupRepresentation); -> Not Workings - returns a false
}
public void updateGroup(String newName, String oldName) {
GroupRepresentation groupRepresentation = kc.realm(realmName)
.groups()
.groups()
.stream()
.filter(group -> group.getName().equals(oldName)).collect(Collectors.toList()).get(0);
//groupRepresentation.setName(newName); -> 1 - Not working
//kc.realm(realmName).groups().groups().stream().filter(g -> { -> 2 - Not Working
//g.setName(oldName);
//return false;
//});
}
Like I said before its working with a lot of methods except those two.
kc.realm(realmName).groups().group(groupRepresentation.getId()).remove();
try to delete it with the group representation id it works.
I have a list of REST URIs and there's a method that returns some value for the passed URI:
String searchForValueBy(RestURI uri);
For instance, we have the following list:
List<RestURI> restUriList = List.of(uri1, uri2, uri3, uri4, uri5);
And searchForValueBy returns the following values for each URI:
uri1 : "1"
uri2 : "2"
uri3 : "1"
uri4 : "1"
uri5 : "2"
What I want to achieve is to group URIs and values into the following map Map<String, List<RestURI>>.
I did the following implementation, but it uses two different approaches - traditional and reactive ones:
Map<String, List<RestURI>> valueToUriMap = new HashMap<>();
Observable.fromIterable(restUriList)
.flatMapCompletable(uri -> searchForValueBy(uri))
.flatMapCompletable(value -> {
valueToUriMap.computeIfAbsent(value, key -> new ArrayList<>()).add(uri);
return Completable.complete();
}))
.andThen(/*work with valueToUriMap*/)
Is it possible to achieve the same with some sort of grouping like groupBy?
Here is the working example to copy and play:
public static void main(String[] args) {
final List<RestUri> restUriList = List.of(
new RestUri("uri1", "1"),
new RestUri("uri2", "2"),
new RestUri("uri3", "1"),
new RestUri("uri4", "1"),
new RestUri("uri5", "2"));
Map<String, List<RestUri>> valueToUriMap = new HashMap<>();
Observable.fromIterable(restUriList)
.flatMapCompletable(uri -> searchForValueBy(uri)
.flatMapCompletable(value -> {
valueToUriMap.computeIfAbsent(value, key -> new ArrayList<>()).add(uri);
return Completable.complete();
})).subscribe();
// .andThen(/*work with valueToUriMap*/)
valueToUriMap.keySet().forEach(key -> System.out.println("Key: " + key + ", Value: " + valueToUriMap.get(key)));
}
public static Single<String> searchForValueBy(RestUri uri) {
return Single.just(uri.getValue());
}
static class RestUri {
String uri;
String value;
public RestUri(String uri, String value) {
this.uri = uri;
this.value = value;
}
public String getUri() {
return uri;
}
public String getValue() {
return value;
}
#Override
public String toString() {
return uri;
}
}
Updated after #akarnokd comment
It seems that toMultimap does the trick, but at the end it appears to be a List of single entry maps instead of Map with a bunch of key:value pairs:
Observable<Single<Map<String, Collection<RestUri>>>> result = Observable.fromIterable(restUriList)
.map(uri -> searchForValueBy(uri)
.toMultimap(key -> key, value -> uri));
Try this:
Observable.fromIterable(restUriList)
.flatMapSingle(uri ->
searchForValueBy(uri)
.map(v -> new RestUri(uri.getUri(), v))
)
.toMultimap(RestUri::getValue, RestUri::getUri))
I have this function inside a #Service in Spring Webflux and it is called with a list of friends to know if everyone has been joined to a group. If some friends have no group this method calls an API to get its user's information and then calls another API to tag these guys with joined tag false.
#Service
...
public Flux<Boolean> checkUserHaveGroup(final List<String> friends) {
MatchOperation match1 = Aggregation.match(Criteria.where("friends").in(friends).and("status").is("ACTIVE"));
UnwindOperation unwind1 = Aggregation.unwind("friends");
MatchOperation match2 = Aggregation.match(Criteria.where("friends").in(friends));
GroupOperation group1 = Aggregation.group("friends");
TypedAggregation<Group> a = Aggregation.newAggregation(
Group.class,
match1, unwind1, match2, group1);
return this.reactiveMongoTemplate.aggregate(a, FriendInGroup.class)
.map(friendInGroup -> friendInGroup.id)
.collectList()
.map(users -> haveNoGroupsList(users, friends))
.flatMapMany(noGroupUsers -> {
return Flux.fromIterable(noGroupUsers)
.flatMap(pn -> crmService.deleteAttribute(pn, "joinedAGroup"));
});
}
(this method get the user information)
...
public Mono<UserInfo> userInfoById(final String userId) {
return webClient.get()
.uri(uriBuilder -> uriBuilder.path(constants.getByIdPath() + "/{id}")
.build(userId))
.header("auth", tokenService.token())
.exchange()
.flatMap(response -> {
Mono<UserInfo> responseMono;
if (response.statusCode().equals(HttpStatus.UNAUTHORIZED)) {
responseMono = Mono.error(new UnauthorizedException());
} else if (response.statusCode().equals(HttpStatus.OK)) {
responseMono = response.bodyToMono(UserInfoResponse.class)
.flatMap(uir -> Mono.just(uir.getData()));
} else {
responseMono = Mono.error(new UnhandledException());
}
return responseMono;
});
}
...
private Mono<UserInfo> getUserInfo(String userId) {
return userInfoAdapter.userInfoById(userId);
}
...
public Mono<Boolean> deleteAttribute(final String userId, final String attribute) {
return getUserInfo(userId) <<<<< here we get the users info
.flatMap(ui -> crmDeleteAttribute(ui, attribute)); <<<< this call is never done.
}
...
public Mono<Boolean> crmDeleteAttribute(final UserInfo user, final String attribute) {
return webClient.delete()
.uri(uriBuilder -> uriBuilder
.path(contants.path())
.build(user.getId(), attribute))
.header("auth", tokenService.token())
.exchange().flatMap(response -> {
if (response.statusCode().equals(HttpStatus.OK)) {
return Mono.just(Boolean.TRUE);
}
if (response.statusCode().equals(HttpStatus.BAD_REQUEST)) {
return Mono.error(CrmServiceBadRequestException::new);
}
if (response.statusCode().equals(HttpStatus.UNAUTHORIZED)) {
return Mono.error(CrmServiceUnauthorizedException::new);
}
return Mono.error(CrmServiceUnhandledException::new);
});
}
After getting the users' info on the API, the API for assign a tag is never been called no matter what I do. I can see in the debugger terminal that the call to UserInfo API was done but after that, the application returns to the controller. Someone could point me to what I'm doing wrong?
Any help is welcome.
Thanks!
I have this code and I want to know if this is possible with RxJava:
Function queries for a User from a server (async)
The server returns a User JSON object with a list of ID's of associated UserProfile(s)
Then for each of this ID, it needs to fetch the UserProfile given the ID (async also)
For each asynchronously fetched UserProfile append it to the User object, below is my pseudo-code.
I cannot use any blocking code, all request should be async.
Here's the code:
#Override
public Single<User> retrieve(String entityId) {
BaasUser baasUser = new BaasUser();
baasUser.setEntityId(entityId);
baasUser.setIncludes(Arrays.asList("userProfile"));
return baasUser.retrieve().map(user -> {
String username = user.getUsername();
String dateCreated = user.getDateCreated();
String dateUpdated = user.getDateUpdated();
List<UserProfile> userProfiles = new LinkedList<>();
BaasLink userProfileLink = user.getFirstLink();
userProfileLink.getEntities().forEach(stubEntity -> {
Single<UserProfile> observable = stubEntity.retrieve().map(entity -> {
UserProfile userProfile = new UserProfile();
userProfile.setEntityId(entity.getStringProperty("entityId"));
userProfile.setName(entity.getStringProperty("name"));
return userProfile;
});
observable.subscribe(userProfile -> {
// until all UserProfile is fetched this 'retrieve' "callback" should not return
userProfiles.add(userProfile);
}, error -> {
// err
});
});
User user1 = new User();
user1.setDateCreated(dateCreated);
user1.setDateUpdated(dateUpdated);
user1.setUsername(username);
user1.setUserProfiles(userProfiles);
return user1;
});
}
Here you have en example how to do your jobe maybe there is any typeerror becouse i dont have your objects
Single.just("user")
.observeOn(Schedulers.io())
.flatMap(user -> Observable.zip(getCurrentUserData(user),getUserProfiles(user),(t1, t2) -> {
//first func will return user eith some data next function wll return List<UserProfile> userProfiles
return newuser;
}))
.subscribeOn(Schedulers.io())
}
private Single<List<UserProfile>> getUserProfiles(User user) {
Observable.fromIterable( user.getFirstLink().getEntities())
.flatMap(stubEntity ->stubEntity.retrieve())
.map(o -> {
//set user profile data
return userprofile
})
.toList();
}
private Single<User> getCurrentUserData(User user) {
Observable.just(user)
.map(s -> {
//set data
return user;
})
}
I am having a lot of trouble understanding the zip operator in RxJava for my android project.
Problem
I need to be able to send a network request to upload a video
Then i need to send a network request to upload a picture to go with it
finally i need to add a description and use the responses from the previous two requests to upload the location urls of the video and picture along with the description to my server.
I assumed that the zip operator would be perfect for this task as I understood we could take the response of two observables (video and picture requests) and use them for my final task.
But I cant seem to get this to occur how I envision it.
I am looking for someone to answer how this can be done conceptually with a bit of psuedo code.
Thank you
Zip operator strictly pairs emitted items from observables. It waits for both (or more) items to arrive then merges them. So yes this would be suitable for your needs.
I would use Func2 to chain the result from the first two observables.
Notice this approach would be simpler if you use Retrofit since its api interface may return an observable. Otherwise you would need to create your own observable.
// assuming each observable returns response in the form of String
Observable<String> movOb = Observable.create(...);
// if you use Retrofit
Observable<String> picOb = RetrofitApiManager.getService().uploadPic(...),
Observable.zip(movOb, picOb, new Func2<String, String, MyResult>() {
#Override
public MyResult call(String movieUploadResponse, String picUploadResponse) {
// analyze both responses, upload them to another server
// and return this method with a MyResult type
return myResult;
}
}
)
// continue chaining this observable with subscriber
// or use it for something else
A small example:
val observableOne = Observable.just("Hello", "World")
val observableTwo = Observable.just("Bye", "Friends")
val zipper = BiFunction<String, String, String> { first, second -> "$first - $second" }
Observable.zip(observableOne, observableTwo, zipper)
.subscribe { println(it) }
This will print:
Hello - Bye
World - Friends
In BiFunction<String, String, String> the first String the type of the first observable, the second String is the type of the second observable, the third String represents the type of the return of your zipper function.
I made a small example that calls two real endpoints using zip in this blog post
Here I have an example that I did using Zip in asynchronous way, just in case you´re curious
/**
* Since every observable into the zip is created to subscribeOn a diferent thread, it´s means all of them will run in parallel.
* By default Rx is not async, only if you explicitly use subscribeOn.
*/
#Test
public void testAsyncZip() {
scheduler = Schedulers.newThread();
scheduler1 = Schedulers.newThread();
scheduler2 = Schedulers.newThread();
long start = System.currentTimeMillis();
Observable.zip(obAsyncString(), obAsyncString1(), obAsyncString2(), (s, s2, s3) -> s.concat(s2)
.concat(s3))
.subscribe(result -> showResult("Async in:", start, result));
}
/**
* In this example the the three observables will be emitted sequentially and the three items will be passed to the pipeline
*/
#Test
public void testZip() {
long start = System.currentTimeMillis();
Observable.zip(obString(), obString1(), obString2(), (s, s2, s3) -> s.concat(s2)
.concat(s3))
.subscribe(result -> showResult("Sync in:", start, result));
}
public void showResult(String transactionType, long start, String result) {
System.out.println(result + " " +
transactionType + String.valueOf(System.currentTimeMillis() - start));
}
public Observable<String> obString() {
return Observable.just("")
.doOnNext(val -> {
System.out.println("Thread " + Thread.currentThread()
.getName());
})
.map(val -> "Hello");
}
public Observable<String> obString1() {
return Observable.just("")
.doOnNext(val -> {
System.out.println("Thread " + Thread.currentThread()
.getName());
})
.map(val -> " World");
}
public Observable<String> obString2() {
return Observable.just("")
.doOnNext(val -> {
System.out.println("Thread " + Thread.currentThread()
.getName());
})
.map(val -> "!");
}
public Observable<String> obAsyncString() {
return Observable.just("")
.observeOn(scheduler)
.doOnNext(val -> {
System.out.println("Thread " + Thread.currentThread()
.getName());
})
.map(val -> "Hello");
}
public Observable<String> obAsyncString1() {
return Observable.just("")
.observeOn(scheduler1)
.doOnNext(val -> {
System.out.println("Thread " + Thread.currentThread()
.getName());
})
.map(val -> " World");
}
public Observable<String> obAsyncString2() {
return Observable.just("")
.observeOn(scheduler2)
.doOnNext(val -> {
System.out.println("Thread " + Thread.currentThread()
.getName());
})
.map(val -> "!");
}
You can see more examples here https://github.com/politrons/reactive
zip operator allow you to compose a result from results of two different observable.
You 'll have to give am lambda that will create a result from datas emitted by each observable.
Observable<MovieResponse> movies = ...
Observable<PictureResponse> picture = ...
Observable<Response> response = movies.zipWith(picture, (movie, pic) -> {
return new Response("description", movie.getName(), pic.getUrl());
});
i have been searching for a simple answer on how to use the Zip operator, and what to do with the Observables i create to pass them to it, i was wondering if i should call subscribe() for every observable or not, non of these answers were simple to find, i had to figure it out by my self, so here is a simple example for using Zip operator on 2 Observables :
#Test
public void zipOperator() throws Exception {
List<Integer> indexes = Arrays.asList(0, 1, 2, 3, 4);
List<String> letters = Arrays.asList("a", "b", "c", "d", "e");
Observable<Integer> indexesObservable = Observable.fromIterable(indexes);
Observable<String> lettersObservable = Observable.fromIterable(letters);
Observable.zip(indexesObservable, lettersObservable, mergeEmittedItems())
.subscribe(printMergedItems());
}
#NonNull
private BiFunction<Integer, String, String> mergeEmittedItems() {
return new BiFunction<Integer, String, String>() {
#Override
public String apply(Integer index, String letter) throws Exception {
return "[" + index + "] " + letter;
}
};
}
#NonNull
private Consumer<String> printMergedItems() {
return new Consumer<String>() {
#Override
public void accept(String s) throws Exception {
System.out.println(s);
}
};
}
the printed result is :
[0] a
[1] b
[2] c
[3] d
[4] e
the final answers to the questions that where in my head were as follows
the Observables passed to the zip() method just need to be created only, they do not need to have any subscribers to them, only creating them is enough ... if you want any observable to run on a scheduler, you can specify this for that Observable ... i also tried the zip() operator on Observables where they should wait for there result, and the Consumable of the zip() was triggered only when both results where ready (which is the expected behavior)
This is my implementation using Single.zip and rxJava2
I tried to make it as easy to understand as possible
//
// API Client Interface
//
#GET(ServicesConstants.API_PREFIX + "questions/{id}/")
Single<Response<ResponseGeneric<List<ResponseQuestion>>>> getBaseQuestions(#Path("id") int personId);
#GET(ServicesConstants.API_PREFIX + "physician/{id}/")
Single<Response<ResponseGeneric<List<ResponsePhysician>>>> getPhysicianInfo(#Path("id") int personId);
//
// API middle layer - NOTE: I had feedback that the Single.create is not needed (but I haven't yet spent the time to improve it)
//
public Single<List<ResponsePhysician>> getPhysicianInfo(int personId) {
return Single.create(subscriber -> {
apiClient.getPhysicianInfo(appId)
.subscribeOn(Schedulers.io())
.observeOn(Schedulers.io())
.subscribe(response -> {
ResponseGeneric<List<ResponsePhysician>> responseBody = response.body();
if(responseBody != null && responseBody.statusCode == 1) {
if (!subscriber.isDisposed()) subscriber.onSuccess(responseBody.data);
} else if(response.body() != null && response.body().status != null ){
if (!subscriber.isDisposed()) subscriber.onError(new Throwable(response.body().status));
} else {
if (!subscriber.isDisposed()) subscriber.onError(new Throwable(response.message()));
}
}, throwable -> {
throwable.printStackTrace();
if(!subscriber.isDisposed()) subscriber.onError(throwable);
});
});
}
public Single<List<ResponseQuestion>> getHealthQuestions(int personId){
return Single.create(subscriber -> {
apiClient.getBaseQuestions(personId)
.subscribeOn(Schedulers.io())
.observeOn(Schedulers.io())
.subscribe(response -> {
ResponseGeneric<List<ResponseQuestion>> responseBody = response.body();
if(responseBody != null && responseBody.data != null) {
if (!subscriber.isDisposed()) subscriber.onSuccess(response.body().data);
} else if(response.body() != null && response.body().status != null ){
if (!subscriber.isDisposed()) subscriber.onError(new Throwable(response.body().status));
} else {
if (!subscriber.isDisposed()) subscriber.onError(new Throwable(response.message()));
}
}, throwable -> {
throwable.printStackTrace();
if(!subscriber.isDisposed()) subscriber.onError(throwable);
});
});
}
//please note that ResponseGeneric is just an outer wrapper of the returned data - common to all API's in this project
public class ResponseGeneric<T> {
#SerializedName("Status")
public String status;
#SerializedName("StatusCode")
public float statusCode;
#SerializedName("Data")
public T data;
}
//
// API end-use layer - this gets close to the UI so notice the oberver is set for main thread
//
private static class MergedResponse{// this is just a POJO to store all the responses in one object
public List<ResponseQuestion> listQuestions;
public List<ResponsePhysician> listPhysicians;
public MergedResponse(List<ResponseQuestion> listQuestions, List<ResponsePhysician> listPhysicians){
this.listQuestions = listQuestions;
this.listPhysicians = listPhysicians;
}
}
// example of Single.zip() - calls getHealthQuestions() and getPhysicianInfo() from API Middle Layer
private void downloadHealthQuestions(int personId) {
addRxSubscription(Single
.zip(getHealthQuestions(personId), getPhysicianInfo(personId), MergedResponse::new)
.subscribeOn(Schedulers.io())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(response -> {
if(response != null) {
Timber.i(" - total health questions downloaded %d", response.listQuestions.size());
Timber.i(" - physicians downloaded %d", response.listPhysicians.size());
if (response.listPhysicians != null && response.listPhysicians.size()>0) {
// do your stuff to process response data
}
if (response.listQuestions != null && response.listQuestions.size()>0) {
// do your stuff to process response data
}
} else {
// process error - show message
}
}, error -> {
// process error - show network error message
}));
}
You use the zip from rxjava with Java 8:
Observable<MovieResponse> movies = ...
Observable<PictureResponse> picture = ...
Observable<ZipResponse> response = Observable.zip(movies, picture, ZipResponse::new);
class ZipResponse {
private MovieResponse movieResponse;
private PictureResponse pictureResponse;
ZipResponse(MovieResponse movieResponse, PictureResponse pictureResponse) {
this.movieResponse = movieResponse;
this.pictureResponse = pictureResponse;
}
public MovieResponse getMovieResponse() {
return movieResponse;
}
public void setMovieResponse(MovieResponse movieResponse) {
this.movieResponse= movieResponse;
}
public PictureResponse getPictureResponse() {
return pictureResponse;
}
public void setPictureResponse(PictureResponse pictureResponse) {
this.pictureResponse= pictureResponse;
}
}
You can use .zipWith operator for Observable chains.
If uploadMovies() and uploadPictures() return Observable,
uploadMovies()
.zipWith(uploadPictures()) { m, p ->
"$m with $p were uploaded"
}
.subscribe { print(it) }