/*
 * Copyright 2017 Netflix, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License")
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.netflix.spinnaker.orca.q

import com.netflix.spinnaker.q.QueueExecutor
import org.springframework.beans.factory.annotation.Qualifier
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor
import org.springframework.stereotype.Component

@Component
class ThreadPoolQueueExecutor(
  @Qualifier("messageHandlerPool") executor: ThreadPoolTaskExecutor
) : QueueExecutor<ThreadPoolTaskExecutor>(executor) {
  override fun hasCapacity() =
    executor.threadPoolExecutor.run {
      activeCount < maximumPoolSize
    }

  override fun availableCapacity() =
    executor.threadPoolExecutor.run {
      maximumPoolSize - activeCount
    }
}
