Schedule a cron job with schedule expression from onRequest cloud function parameter - firebase

Keeping a cron job pub/sub function (functions.pubsub.schedule), within a cloud function (functions.https.OnRequest) and exporting it, does not execute.
A complete example is as follows:
export const sayHelloWhen = functions.https.onRequest((request, response) => {
cors(request, response, () => {
const scheduleExpression = request.body.data.scheduleExpression;
functions.logger.log(`Called sayHelloWhen with ${scheduleExpression}`);
functions.pubsub.schedule(scheduleExpression).onRun((context) => {
functions.logger.log(`Executed sayHelloWhen with ${scheduleExpression}`)
});
response.send({
status: "success",
data: `scheduled at ${scheduleExpression}`
})
})
})
The problem is pub/sub does not trigger. Other codes are executed.
I would like to have HTTP request body scheduleExpression bring into pubsub.schedule's parameter. I don't want a static schedule expression in corn job.
In client, I would like to define a schedule expression in client side as follows:
function scheduleFunction() {
const functions = getFunctions();
const sayHello = httpsCallable(functions, "sayHelloWhen");
sayHello({ scheduleExpression: "every 1 minute" }).then((result) => {
// const data = result.data;
console.log("Result:", result);
});
}
The example below works only for a static schedule expression, meaning that a cloud function itself has a fixed schedule expression:
exports.scheduledFunction = functions.pubsub.schedule('every 5 minutes').onRun((context) => {
console.log('This will be run every 5 minutes!');
return null;
});
It can be exported as cron job trigger and it executes.
But keeping pub/sub cron job function, within onRequest cloud function, as in the first code example, does not execute.

I think it is very interesting what you are trying to do, but I would like to point out that you are missing some steps that could cause your app not to execute the way you need it to.
First, you need to Terminate your HTTP functions
Always end an HTTP function with send(), redirect(), or end(). Otherwise, your function might continue to run and be forcibly terminated by the system. See also Sync, Async and Promises.
When you do not terminate them, you might end up in a deeper level in which the following code will not execute unless the previous code has finished. I would also like to say I have not found any application with nested functions like you are doing.
In the Sync, async, and promises page you can find a very explicative video to understand the lifecycle of your functions, and in the How promises work with functions section we have:
When you return a JavaScript promise to a function, that function keeps running until the promise is resolved or rejected. To indicate that a function has completed its work successfully, the promise should be resolved. To indicate an error, the promise should be rejected. This means you only need to handle errors that you want to.
In addition to all this, I would suggest using a separate file to Organize multiple functions for a more organized code, but this is only a suggestion not really necessary.
Finally, I am concerned about the scheduledExpression parameter, I think if none of the above works, you might want to check and share what this value is.

Related

Function inside Task.Run doesn't get executed

I have some slow part of my code that does a http request then waits for the answer and calls an adf pipeline so it can update a database parameter at the end. Since this took 2 minutes and my client app seemed so slow for my clients, I wrapped this call inside Task.Run() and set my logic inside. This works good but the last part, update a database parameter, doesn't get executed at all.
Task.Run(async () =>
{
await client.ExecuteAsync(request, CancellationToken.None);
await RunADFPipeline(pipeline, _config);
await _projectRepository.UpdateValue(id, "status", "unlock");
});
I found this example online and I applied it in my code. The first two awaits seem to execute correctly but the third one doesn't execute at all. If I set it outside of Task.Run(), it executes. The third part literally just calls a stored procedure
return await _context.Database.ExecuteSqlRawAsync("EXEC core.UpdateValue #ProjectId, #Name, #Value", parameters);
I also tried by adding ContinueWith() at the end of the Task.Run() but still no luck.
Task.Run(async () =>
{
await client.ExecuteAsync(request, CancellationToken.None);
await _adfHelper.RunADFPipeline(pipeline, _config);
}).ContinueWith((result) => _projectRepository.UpdateValue(id, "status", "unlock"));
All this code is inside a controller. Any thoughts and ideas on how can I achieve my goal and update this parameter after Task.Run() finishes or the functions inside finish?

Wrap all saga actions in a common generator function

I am using redux-sage in my application and below is my code
export default function* () {
yield takeLatest(ActionTypes.VALIDATE_INPUT, checkForInputValidity);
yield takeLatest(ActionTypes.ON_REFRESH, onRefresh);
yield takeLatest(ActionTypes.ON_SUBMIT, onSubmit);
}
Is there a way to make sure I call a common generator function before any action is handled. For example,
whenever I dispatch some action, I want to update a variable in redux-state. this is common across all actions. What I am trying to avoid here is to duplicate some piece of common code in every action handler
You can use simple reducer function which skips action type check and track all the actions, and i.e. return the current timestamp:
export default () => + new Date()
You can call take with no arguments or with '*' in order to match all actions, per the docs.
The part that might get tricky (though still totally doable!) is getting the correct order of generator functions. Is it important the universal generator is run before the other generators, or is it ok if they are all run at once asynchronously? The docs on concurrency, fork vs spawn, and running tasks in parallel might illustrate the difference.
Untested, but I think this is what you want:
import {all, takeLatest, takeEvery } from "redux-saga/effects";
function* universal(action) {
// do something
// if dispatching anything here, make sure that the dispatched action doesn't get picked up again and create an infinite loop
}
export default function* () {
// univeral generator is called with a blocking yield
yield takeEvery( '*', universal);
// run individual generators in parallel to each other
yield all ([
takeLatest(ActionTypes.VALIDATE_INPUT, checkForInputValidity),
takeLatest(ActionTypes.ON_REFRESH, onRefresh),
takeLatest(ActionTypes.ON_SUBMIT, onSubmit),
]);
}
Alternatively, you could write some sort of custom middleware.

Flutter multiple async methods for parrallel execution

I'm still struggeling with the async/await pattern so I'm here to ask you some precisions.
I saw this page explaining the async/await pattern pretty well. I'm posting here the example that bother me :
import 'dart:async';
Future<String> firstAsync() async {
await Future<String>.delayed(const Duration(seconds: 2));
return "First!";
}
Future<String> secondAsync() async {
await Future<String>.delayed(const Duration(seconds: 2));
return "Second!";
}
Future<String> thirdAsync() async {
await Future<String>.delayed(const Duration(seconds: 2));
return "Third!";
}
void main() async {
var f = await firstAsync();
print(f);
var s = await secondAsync();
print(s);
var t = await thirdAsync();
print(t);
print('done');
}
In this example, each async method is called one after another, so the execution time for the main function is 6 seconds (3 x 2 seconds). However, I don't understand what's the point of asynchronous function if they are executed one after another.
Are async functions not supposed to execute in the background ? Is it not the point of multiple async functions to fastens the process with parrallel execution ?
I think I'm missing something about asynchronous functions and async/await pattern in flutter so if you could explain me that, it would be very appreciated.
Best
Waiting on multiple Futures to complete using Future.wait()
If the order of execution of the functions is not important, you can use Future.wait().
The functions get triggered in quick succession; when all of them complete with a value, Future.wait() returns a new Future. This Future completes with a list containing the values produced by each function.
Future
.wait([firstAsync(), secondAsync(), thirdAsyncC()])
.then((List responses) => chooseBestResponse(responses))
.catchError((e) => handleError(e));
or with async/await
try {
List responses = await Future.wait([firstAsync(), secondAsync(), thirdAsyncC()]);
} catch (e) {
handleError(e)
}
If any of the invoked functions completes with an error, the Future returned by Future.wait() also completes with an error. Use catchError() to handle the error.
Resource:https://v1-dartlang-org.firebaseapp.com/tutorials/language/futures#waiting-on-multiple-futures-to-complete-using-futurewait
The example is designed to show how you can wait for a long-running process without actually blocking the thread. In practice, if you have several of those that you want to run in parallel (for example: independent network calls), you could optimize things.
Calling await stops the execution of the method until the future completes, so the call to secondAsync will not happen until firstAsync finishes, and so on. If you do this instead:
void main() async {
var f = firstAsync();
var s = secondAsync();
var t = thirdAsync();
print(await f);
print(await s);
print(await t);
print('done');
}
then all three futures are started right away, and then you wait for them to finish in a specific order.
It is worth highlighting that now f, s, and t have type Future<String>. You can experiment with different durations for each future, or changing the order of the statements.
If anyone new in this problem use the async . Dart has a function called FutureGroup. You can use it to run futures in parallel.
Sample:
final futureGroup = FutureGroup();//instantiate it
void runAllFutures() {
/// add all the futures , this is not the best way u can create an extension method to add all at the same time
futureGroup.add(hello());
futureGroup.add(checkLocalAuth());
futureGroup.add(hello1());
futureGroup.add(hello2());
futureGroup.add(hello3());
// call the `.close` of the group to fire all the futures,
// once u call `.close` this group cant be used again
futureGroup.close();
// await for future group to finish (all futures inside it to finish)
await futureGroup.future;
}
This futureGroup has some useful methods which can help you ie. .future etc.. check the documentation to get more info.
Here's a sample usage Example One using await/async and Example Two using Future.then.
you can always use them in a single future
final results = await Future.wait([
firstAsync();
secondAsync();
thirdAsync();
]);
results will be an array of you return type. in this case array of strings.
cheers.
Try this resolve.
final List<Future<dynamic>> featureList = <Future<dynamic>>[];
for (final Partner partner in partnerList) {
featureList.add(repository.fetchAvatar(partner.uid));
}
await Future.wait<dynamic>(featureList);
If want parallel execution you should switch to multi thread concept called Isolates
mix this with async/await concepts . You can also check this website for more
https://buildflutter.com/flutter-threading-isolates-future-async-and-await/
Using async / await like that is useful when you need a resource before executing the next task.
In your example you don't do really useful things, but imagine you call firstAsync, that gives you a stored authorization token in your phone, then you call secondAsync giving this token get asynchronously and execute an HTTP request and then checking the result of this request.
In this case you don't block the UI thread (user can interact with your app) and other tasks (get token, HTTP request...) are done in background.
i think you miss understood how flutter works first flutter is not multi threaded.....!
second if it isn't multi threaded how can it executes parallel tasks, which doesnt happen....! here is some links that will help you understand more https://webdev.dartlang.org/articles/performance/event-loop
https://www.dartlang.org/tutorials/language/futures
flutter doesn't put futures on another thread but what happens that they are added to a queue the links that i added are for event loop and how future works. hope you get it , feel free to ask me :)

What is the canonical name for a function that ensures that an asynchronous task takes at least x time to resolve?

Say we have an asynchronous function that may resolve within any duration. However fast it may be, we want to ensure it never resolves before t time as passed. To achieve this in a reusable way, we create a function (here in JavaScript):
async function stall(task, minDuration) {
// Wait until both `task` and `delay(minDuration)` resolves
// and return the results from `task`
const results = await Promise.all([task, delay(minDuration)])
return results[0]
}
where delay() is a simple function that resolves after a given amount of time.
Is there a canonical name for the stall() function?

Firebase cloud functions stop observer from another function

First function observe any process. However, if first function will not send any response, i want to stop observer manually according to second function.When i call second function, observer does not stop in first function. How can i handle this situation ?
exports.startObserverFunc = functions.https.onRequest((req,res) => {
var userFirebaseID = req.query.firebaseID;
var ref = admin.database().ref("Quickplay");
let callback = ref.child(userFirebaseID).on("value",function(snapshot){
if (snapshot.exists()){
// Some Codes
ref.child(userFirebaseID).off("value", callback);
res.status(200).send({
resultName: "ok"
});
}
});
});
exports.stopObserverFunc = functions.https.onRequest((req,res) => {
var userFirebaseID = req.query.firebaseID;
var ref = admin.database().ref("Quickplay");
ref.child(userFirebaseID).off("value");
res.status(200).send({
resultName: "ok"
});
});
You should avoid using observers/listeners like this in Cloud Functions. It will likely not do what you want, given that your code could be running on any number of server instances, based on the load on your functions. Also, two function invocations are definitely not going to be running on the same server instances, so they have no knowledge of each other.
It's almost certainly the case that you just want to use once() to query for a single object just one time, and use that in your response. This is what all the official samples do.

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