Fix WebSocket threads CPU usage bug

[afondard]

What does this PR do ?

This PR optimizes the WebSocket reconnection logic in the Kuzzle SDK to address high CPU usage during frequent reconnect attempts.

How should this be manually tested?

• Step 1: Start the Kuzzle backend.
• Step 2: Write a test Java application using the updated SDK. You can build the jar and then add the dependency in your configuration file like described below.

Maven: Add the updated SDK jar to your project’s root, then add the following dependency to your pom.xml:

        <!-- Kuzzle JVM SDK -->
        <dependency>
            <groupId>io.kuzzle</groupId>
            <artifactId>sdk-jvm</artifactId>
            <version>1.3.3</version>
            <scope>system</scope>
            <systemPath>${project.basedir}/sdk-jvm-1.3.3.jar</systemPath>
        </dependency>

Gradle: Add the updated SDK jar to your project’s lib/ folder and update your build.gradle as follows:

        // Define repository for local jars
        repositories {
            flatDir {
                dirs 'libs'
            }
        }
        
        dependencies {
            implementation name: 'sdk-jvm-1.3.3'
        }

Here's an example of a test Java main:

package kuzzle.kuzzleio;

import io.kuzzle.sdk.Kuzzle;
import io.kuzzle.sdk.coreClasses.responses.Response;
import io.kuzzle.sdk.protocol.WebSocket;

import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ExecutionException;
import java.util.Scanner;

public class Main {
    public static void main(String[] args) throws InterruptedException, ExecutionException {
        System.out.println("Hello world!");
        WebSocket ws = new WebSocket("localhost", 7512, false, true, 1000L);
        var kuzzle = new Kuzzle(ws);
        kuzzle.connect();
        System.out.println("Connected to Kuzzle server successfully!");

        Map<String, Object> query = new HashMap<>();
        query.put("controller", "document");
        query.put("action", "get");
        query.put("index", "tenant-asset_tracking-toto");
        query.put("collection", "devices");
        query.put("_id", "Tool-Tool1");
        Response res = kuzzle.query(query).get();
        System.out.println(res);

        Scanner scanner = new Scanner(System.in);
        System.out.println("Please enter your first name:");
        // Arrêter le back ici pour tester la queue
        String firstName = scanner.nextLine();
        System.out.println("Hello " + firstName);

        Response res2 = kuzzle.query(query).get();
        System.out.println(res2);
        // Relancer le back pour se reco et faire la requête
        System.out.println("Please enter your last name:");
        String lastName = scanner.nextLine();
        System.out.println("Last name: " + lastName);
        scanner.close();

        Response res3 = kuzzle.query(query).get();
        System.out.println(res3);
    }
}

• Step 3 : Run the test Java application and simulate network interruptions while monitoring the CPU usage (top command for Linux).