style: format code for improved readability and consistency
Build & Test (NowChessSystems) TeamCity build failed
Build & Test (NowChessSystems) TeamCity build failed
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+12
-8
@@ -45,8 +45,8 @@ class AutoScaler:
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if kubeClientInstance.isUnsatisfied then None
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else Some(kubeClientInstance.get())
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private val argoApiVersion = "argoproj.io/v1alpha1"
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private val argoKind = "Rollout"
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private val argoApiVersion = "argoproj.io/v1alpha1"
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private val argoKind = "Rollout"
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private val metricsApiVersion = "metrics.k8s.io/v1beta1"
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@PostConstruct
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@@ -75,10 +75,12 @@ class AutoScaler:
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private def isResourceConstrained(instanceId: String): Boolean =
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kubeClientOpt.fold(false) { kube =>
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try
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val pods = kube.pods().inNamespace(config.k8sNamespace).withLabel(config.k8sRolloutLabelSelector).list().getItems.asScala
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val pods =
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kube.pods().inNamespace(config.k8sNamespace).withLabel(config.k8sRolloutLabelSelector).list().getItems.asScala
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pods.find(_.getMetadata.getName.contains(instanceId)).exists { pod =>
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try
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val metricsRes = kube.genericKubernetesResources(metricsApiVersion, "PodMetrics")
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val metricsRes = kube
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.genericKubernetesResources(metricsApiVersion, "PodMetrics")
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.inNamespace(config.k8sNamespace)
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.withName(pod.getMetadata.getName)
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.get()
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@@ -92,11 +94,12 @@ class AutoScaler:
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.flatMap(u => Option(u.get("cpu")))
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.map(_.toString)
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.exists { cpuStr =>
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val cpuMillis = if cpuStr.endsWith("m") then cpuStr.dropRight(1).toLongOption.getOrElse(0L) else cpuStr.toLongOption.map(_ * 1000).getOrElse(0L)
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val cpuMillis =
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if cpuStr.endsWith("m") then cpuStr.dropRight(1).toLongOption.getOrElse(0L)
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else cpuStr.toLongOption.map(_ * 1000).getOrElse(0L)
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cpuMillis > 800
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}
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catch
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case _: Exception => false
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catch case _: Exception => false
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}
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catch
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case ex: Exception =>
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@@ -117,7 +120,8 @@ class AutoScaler:
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val hasHighCpuOrMemory = instances.exists(inst => isResourceConstrained(inst.instanceId))
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if avgLoad > config.scaleUpThreshold * config.maxGamesPerCore || hasHighCpuOrMemory then scaleUp()
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else if avgLoad < config.scaleDownThreshold * config.maxGamesPerCore && instances.size > config.scaleMinReplicas then scaleDown()
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else if avgLoad < config.scaleDownThreshold * config.maxGamesPerCore && instances.size > config.scaleMinReplicas
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then scaleDown()
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def scaleUp(): Unit =
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log.info("Scaling up Argo Rollout")
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