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 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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.
 */

import CommonJobProperties as commonJobProperties
import CommonTestProperties
import LoadTestsBuilder as loadTestsBuilder
import PhraseTriggeringPostCommitBuilder
import Flink
import Docker
import InfluxDBCredentialsHelper

String now = new Date().format("MMddHHmmss", TimeZone.getTimeZone('UTC'))

def scenarios = { datasetName ->
  [
    [
      title          : 'Combine Python Load test: 2GB 10 byte records',
      test           : 'apache_beam.testing.load_tests.combine_test',
      runner         : CommonTestProperties.Runner.PORTABLE,
      pipelineOptions: [
        job_name            : 'load-tests-python-flink-batch-combine-1-' + now,
        project             : 'apache-beam-testing',
        publish_to_big_query: true,
        metrics_dataset     : datasetName,
        metrics_table       : 'python_flink_batch_combine_1',
        influx_measurement  : 'python_batch_combine_1',
        input_options       : '\'{' +
        '"num_records": 200000000,' +
        '"key_size": 1,' +
        '"value_size": 9}\'',
        parallelism         : 5,
        job_endpoint        : 'localhost:8099',
        environment_type    : 'DOCKER',
        top_count           : 20,
      ]
    ],
    [
      title          : 'Combine Python Load test: 2GB Fanout 4',
      test           : 'apache_beam.testing.load_tests.combine_test',
      runner         : CommonTestProperties.Runner.PORTABLE,
      pipelineOptions: [
        job_name            : 'load-tests-python-flink-batch-combine-4-' + now,
        project             : 'apache-beam-testing',
        publish_to_big_query: true,
        metrics_dataset     : datasetName,
        metrics_table       : 'python_flink_batch_combine_4',
        influx_measurement  : 'python_batch_combine_4',
        input_options       : '\'{' +
        '"num_records": 5000000,' +
        '"key_size": 10,' +
        '"value_size": 90}\'',
        parallelism         : 16,
        job_endpoint        : 'localhost:8099',
        environment_type    : 'DOCKER',
        fanout              : 4,
        top_count           : 20,
      ]
    ],
    [
      title          : 'Combine Python Load test: 2GB Fanout 8',
      test           : 'apache_beam.testing.load_tests.combine_test',
      runner         : CommonTestProperties.Runner.PORTABLE,
      pipelineOptions: [
        job_name            : 'load-tests-python-flink-batch-combine-5-' + now,
        project             : 'apache-beam-testing',
        publish_to_big_query: true,
        metrics_dataset     : datasetName,
        metrics_table       : 'python_flink_batch_combine_5',
        influx_measurement  : 'python_batch_combine_5',
        input_options       : '\'{' +
        '"num_records": 2500000,' +
        '"key_size": 10,' +
        '"value_size": 90}\'',
        parallelism         : 16,
        job_endpoint        : 'localhost:8099',
        environment_type    : 'DOCKER',
        fanout              : 8,
        top_count           : 20,
      ]
    ]
  ].each { test -> test.pipelineOptions.putAll(additionalPipelineArgs) }
}

def batchLoadTestJob = { scope, triggeringContext ->
  scope.description('Runs Python Combine load tests on Flink runner in batch mode')
  commonJobProperties.setTopLevelMainJobProperties(scope, 'master', 240)

  Docker publisher = new Docker(scope, loadTestsBuilder.DOCKER_CONTAINER_REGISTRY)
  String pythonHarnessImageTag = publisher.getFullImageName('beam_python3.7_sdk')

  def datasetName = loadTestsBuilder.getBigQueryDataset('load_test', triggeringContext)
  def numberOfWorkers = 16
  additionalPipelineArgs << [environment_config: pythonHarnessImageTag]
  List<Map> testScenarios = scenarios(datasetName)

  publisher.publish(':sdks:python:container:py37:docker', 'beam_python3.7_sdk')
  publisher.publish(':runners:flink:1.10:job-server-container:docker', 'beam_flink1.10_job_server')
  def flink = new Flink(scope, 'beam_LoadTests_Python_Combine_Flink_Batch')
  flink.setUp([pythonHarnessImageTag], numberOfWorkers, publisher.getFullImageName('beam_flink1.10_job_server'))

  defineTestSteps(scope, testScenarios, [
    'Combine Python Load test: 2GB Fanout 4',
    'Combine Python Load test: 2GB Fanout 8'
  ])

  numberOfWorkers = 5
  flink.scaleCluster(numberOfWorkers)

  defineTestSteps(scope, testScenarios, [
    'Combine Python Load test: 2GB 10 byte records'
  ])
}

private List<Map> defineTestSteps(scope, List<Map> testScenarios, List<String> titles) {
  return testScenarios
      .findAll { it.title in titles }
      .forEach {
        loadTestsBuilder.loadTest(scope, it.title, it.runner, CommonTestProperties.SDK.PYTHON_37, it.pipelineOptions, it.test)
      }
}

PhraseTriggeringPostCommitBuilder.postCommitJob(
    'beam_LoadTests_Python_Combine_Flink_Batch',
    'Run Load Tests Python Combine Flink Batch',
    'Load Tests Python Combine Flink Batch suite',
    this
    ) {
      additionalPipelineArgs = [:]
      batchLoadTestJob(delegate, CommonTestProperties.TriggeringContext.PR)
    }

CronJobBuilder.cronJob('beam_LoadTests_Python_Combine_Flink_Batch', 'H 15 * * *', this) {
  additionalPipelineArgs = [
    influx_db_name: InfluxDBCredentialsHelper.InfluxDBDatabaseName,
    influx_hostname: InfluxDBCredentialsHelper.InfluxDBHostname,
  ]
  batchLoadTestJob(delegate, CommonTestProperties.TriggeringContext.POST_COMMIT)
}