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endless.runtime.pekko.deploy.PekkoCluster.scala Maven / Gradle / Ivy

package endless.runtime.pekko.deploy

import org.apache.pekko.Done
import org.apache.pekko.actor.CoordinatedShutdown
import org.apache.pekko.actor.typed.ActorSystem
import org.apache.pekko.cluster.{Cluster, MemberStatus}
import org.apache.pekko.cluster.sharding.typed.scaladsl.ClusterSharding
import cats.effect.kernel.implicits.*
import cats.effect.kernel.{Async, Deferred, Resource, Sync}
import cats.effect.std.Dispatcher
import cats.implicits.catsSyntaxApplicativeError
import cats.syntax.flatMap.*
import cats.syntax.functor.*
import org.typelevel.log4cats.Logger

import scala.concurrent.TimeoutException
import scala.concurrent.duration.{Duration, DurationInt}

/** Actor system and cluster sharding extension as well as dispatcher tied to its resource scope.
  * @param system
  *   actor system
  * @param cluster
  *   cluster extension
  * @param sharding
  *   cluster sharding extension
  * @param dispatcher
  *   effects dispatcher tied to the cluster resource scope
  */
final case class PekkoCluster[F[_]: Async](
    system: ActorSystem[?],
    dispatcher: Dispatcher[F],
    cluster: Cluster,
    sharding: ClusterSharding
) {

  /** Returns true if the cluster member is up. Can be used for readiness checks.
    */
  def isMemberUp: F[Boolean] = Sync[F].delay(cluster.selfMember.status match {
    case MemberStatus.Up => true
    case _               => false
  })
}

object PekkoCluster {

  /** Create a resource that manages the lifetime of an Pekko actor system with cluster sharding
    * extension. The actor system is created when the resource is acquired and shutdown when the
    * resource is released.
    *
    * @param createActorSystem
    *   Actor system creator. It is recommended to use the IO execution context
    *   (`IO.executionContext`) for the actor system, as it supports Pekko operation and it's
    *   simpler to have a single application execution context
    * @param catsEffectReleaseTimeout
    *   Maximum amount of time Pekko coordinated shutdown is allowed to wait for cats-effect to
    *   finish, typically when Pekko initiates shutdown following a SBR decision. This value should
    *   not be higher than the actual timeout for `before-service-unbind` phase of Pekko coordinated
    *   shutdown. See Pekko
    *   coordinated shutdown documentation to learn how to configure the timeouts of individual
    *   phases. Default (5 seconds) is the same as the default-phase-timeout of Pekko coordinated
    *   shutdown.
    * @param pekkoReleaseTimeout
    *   Maximum amount of time to wait for the actor system to terminate during resource release (5
    *   seconds by default).
    */
  def managedResource[F[_]: Async: Logger](
      createActorSystem: => ActorSystem[?],
      catsEffectReleaseTimeout: Duration = 5.seconds,
      pekkoReleaseTimeout: Duration = 5.seconds
  ): Resource[F, PekkoCluster[F]] =
    Dispatcher
      .parallel(await = true)
      .flatMap(dispatcher =>
        Resource[F, PekkoCluster[F]](for {
          cluster <- createCluster(createActorSystem, dispatcher)
          awaitCatsTermination <- Deferred[F, Unit]
          _ <- Sync[F].delay {
            CoordinatedShutdown(cluster.system)
              .addTask(CoordinatedShutdown.PhaseBeforeServiceUnbind, "ce-resources-release") { () =>
                dispatcher.unsafeToFuture(
                  awaitCatsTermination.get
                    .timeout(catsEffectReleaseTimeout)
                    .recoverWith { case ex: TimeoutException =>
                      Logger[F].error(ex)(
                        "Timed out during cluster shutdown while waiting for cats-effect resources release"
                      )
                    }
                    .as(Done)
                )
              }
          }
        } yield {
          val release = for {
            _ <- awaitCatsTermination.complete(())
            _ <- Logger[F].info("Leaving Pekko actor cluster")
            _ <- Async[F]
              .fromFuture(
                Async[F].blocking(
                  CoordinatedShutdown(cluster.system)
                    .run(CoordinatedShutdown.ActorSystemTerminateReason)
                )
              )
              .void
              .timeoutAndForget(pekkoReleaseTimeout)
              .handleErrorWith(
                Logger[F].error(_)(
                  "Timed out during cluster shutdown while waiting for actor system to terminate"
                )
              )
            _ <- Logger[F].info("Pekko cluster exited and actor system shutdown complete")
          } yield ()
          (cluster, release)
        })
      )

  private def createCluster[F[_]: Async: Logger](
      createActorSystem: => ActorSystem[?],
      dispatcher: Dispatcher[F]
  ) = for {
    system <- Sync[F].delay(createActorSystem)
    _ <- Logger[F].info(s"Created actor system ${system.name}")
    cluster <- Sync[F].delay(Cluster(system))
    _ <- Logger[F].info(s"Created cluster extension for actor system ${system.name}")
    sharding <- Sync[F].delay(ClusterSharding(system))
    _ <- Logger[F].info(s"Created cluster sharding extension for actor system ${system.name}")
  } yield PekkoCluster(system, dispatcher, cluster, sharding)
}




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