Encoder queue change

Encode/src/main/kotlin/no/iktdev/streamit/content/encode/runner/RunnerCoordinator.kt

@@ -3,6 +3,7 @@ package no.iktdev.streamit.content.encode.runner
 import com.google.gson.Gson
 import kotlinx.coroutines.*
 import kotlinx.coroutines.channels.Channel
+import kotlinx.coroutines.flow.consumeAsFlow
 import kotlinx.coroutines.sync.Mutex
 import no.iktdev.streamit.content.encode.EncodeEnv
 import mu.KotlinLogging
@@ -19,6 +20,7 @@ import no.iktdev.streamit.library.kafka.producer.DefaultProducer
 import org.springframework.boot.autoconfigure.couchbase.CouchbaseProperties.Env
 import org.springframework.stereotype.Service
 import java.util.concurrent.*
+import java.util.concurrent.atomic.AtomicInteger
 
 private val logger = KotlinLogging.logger {}
 
@@ -28,36 +30,43 @@ data class ExecutionBlock(
 )
 
 @Service
-class RunnerCoordinator {
+class RunnerCoordinator(private var maxConcurrentJobs: Int = 1) {
     private val logger = KotlinLogging.logger {}
 
     val producer = DefaultProducer(CommonConfig.kafkaTopic)
     final val defaultScope = Coroutines.default()
-    val queue = Channel<ExecutionBlock>()
 
+    private val jobsInProgress = AtomicInteger(0)
+    val queue = Channel<ExecutionBlock>(Channel.UNLIMITED)
 
-    /*val executor: ExecutorService = ThreadPoolExecutor(
-        EncodeEnv.maxRunners,
-        EncodeEnv.maxRunners,
-        0L,
-        TimeUnit.MILLISECONDS,
-        LinkedBlockingQueue()
-    )
-    val dispatcher: CoroutineDispatcher = executor.asCoroutineDispatcher()
-    val scope = CoroutineScope(dispatcher)*/
 
     init {
-        defaultScope.launch {
+        maxConcurrentJobs = EncodeEnv.maxRunners
         repeat(EncodeEnv.maxRunners) {
-                launch {
-                    for (item in queue) {
-                        item.work()
+            launchWorker()
+        }
+    }
+
+    fun launchWorker() = defaultScope.launch {
+        while (true) {
+            val workItem = queue.receive() // Coroutine will wait here until a work item is available
+            if (jobsInProgress.incrementAndGet() <= maxConcurrentJobs) {
+                val job = processWorkItem(workItem)
+                job.invokeOnCompletion {
+                    jobsInProgress.decrementAndGet()
                 }
             }
         }
     }
+
+    private suspend fun processWorkItem(workItem: ExecutionBlock): Job {
+        workItem.work()
+        return Job()
     }
 
+
+
+
     fun addEncodeMessageToQueue(message: Message) {
         producer.sendMessage(KafkaEvents.EVENT_ENCODER_VIDEO_FILE_QUEUED.event, message.withNewStatus(Status(StatusType.PENDING)))
         try {