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Introduction
Headless JS is a technique to employ tasks in JavaScript while the user's app is in the background. It can be used, for example, to sync new data, handle push notifications, or play music.
Then, add the user’s service to the AndroidManifest.xml file.
Retries
By default, the headless JS task does not perform any retries. To do so, users need to create a HeadlessJsRetryPolicy and subject to a specific Error.
LinearCountingRetryPolicy is a way of implementing the HeadlessJsRetryPolicy that allows users to predict a maximum number of retries corresponding to a fixed delay between each attempt. If that does not suit users' needs, they can implement their HeadlessJsRetryPolicy. These policies can be passed as an extra argument to the HeadlessJsTaskConfig constructor with the code described below.
HeadlessJsRetryPolicy retryPolicy = new LinearCountingRetryPolicy(
3, // Max number of retry attempts
1000 // Delay between each retry attempt
);
return new HeadlessJsTaskConfig(
'SomeTaskName',
Arguments.fromBundle(extras),
5000,
false,
retryPolicy
);
You can also try this code with Online Javascript Compiler
The function passed to setTimeout does not always behave as expected. Instead, the process is called only when the application is relaunched. If you only need to wait, use the retry functionality.
By default, your app will crash if you try to run a task while the app is in the foreground. This prevents developers from shooting themselves in the foot by doing a lot of work on a job and slowing the UI. You can pass a fourth boolean argument to control this behaviour.
If you start your service from a BroadcastReceiver, call HeadlessJsTaskService.acquireWakeLockNow() before returning from onReceive().
Headless JS is a technique to employ tasks in JavaScript while the user's app is in the background.
Write down the purpose of JS API.
A task is an async function that users register on AppRegistry, similar to writing React applications.
Define JAVA API.
Users need to enhance HeadlessJsTaskService and override the getTaskConfig.
Explain the purpose of LinearCountingRetryPolicy.
LinearCountingRetryPolicy is a way of implementing the HeadlessJsRetryPolicy that allows users to predict a maximum number of retries corresponding to a fixed delay between each attempt.
How to perform the retries in Headless JS?
Users need to create a HeadlessJsRetryPolicy and subject to a specific Error.
Key Takeaways
Congratulations on finishing the blog!! After reading this blog, you will grasp the concept of the Headless JS - React Native.
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