/*
 * 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.
 */

plugins { id 'org.apache.beam.module' }
archivesBaseName = 'beam-sdks-java-load-tests'
applyJavaNature(exportJavadoc: false)

description = "Apache Beam :: SDKs :: Java :: Load Tests"


def mainClassProperty = "loadTest.mainClass"
def mainClass = project.findProperty(mainClassProperty)

// When running via Gradle, this property can be used to pass commandline arguments
// to the nexmark launch
def loadTestArgsProperty = "loadTest.args"

// When running via Gradle, this property sets the runner dependency
def runnerProperty = "runner"
def runnerDependency = (project.hasProperty(runnerProperty)
        ? project.getProperty(runnerProperty)
        : ":runners:direct-java")

def shouldProvideSpark = ":runners:spark".equals(runnerDependency)
def isDataflowRunner = ":runners:google-cloud-dataflow-java".equals(runnerDependency)

if (isDataflowRunner) {
  /*
   * We need to rely on manually specifying these evaluationDependsOn to ensure that
   * the following projects are evaluated before we evaluate this project. This is because
   * we are attempting to reference a property from the project directly.
   */
  evaluationDependsOn(":runners:google-cloud-dataflow-java:worker:legacy-worker")
}

configurations {
  // A configuration for running the Load testlauncher directly from Gradle, which
  // uses Gradle to put the appropriate dependencies on the Classpath rather than
  // bundling them into a fat jar
  gradleRun
}

dependencies {
  shadow library.java.kafka_clients

  shadow project(path: ":sdks:java:core", configuration: "shadow")
  shadow project(path: ":runners:direct-java", configuration: "shadow")
  shadow project(path: ":sdks:java:io:synthetic", configuration: "shadow")
  shadow project(path: ":sdks:java:testing:test-utils", configuration: "shadow")
  shadow project(path: ":sdks:java:io:google-cloud-platform", configuration: "shadow")
  shadow project(path: ":sdks:java:io:kafka", configuration: "shadow")
  shadow project(path: ":sdks:java:io:kinesis", configuration: "shadow")

  gradleRun project(path: project.path, configuration: "shadow")
  gradleRun project(path: runnerDependency, configuration: "shadow")

  // The Spark runner requires the user to provide a Spark dependency. For self-contained
  // runs with the Spark runner, we can provide such a dependency. This is deliberately phrased
  // to not hardcode any runner other than :runners:direct-java
  if (shouldProvideSpark) {
    gradleRun library.java.spark_streaming
    gradleRun library.java.spark_core, {
      exclude group:"org.slf4j", module:"jul-to-slf4j"
    }
  }
}

if (shouldProvideSpark) {
  configurations.gradleRun {
    // Using Spark runner causes a StackOverflowError if slf4j-jdk14 is on the classpath
    exclude group: "org.slf4j", module: "slf4j-jdk14"
  }
}

task run(type: JavaExec) {
  def loadTestArgs = project.findProperty(loadTestArgsProperty) ?: ""

  if (isDataflowRunner) {
    dependsOn ":runners:google-cloud-dataflow-java:worker:legacy-worker:shadowJar"

    def dataflowWorkerJar = project.findProperty('dataflowWorkerJar') ?: project(":runners:google-cloud-dataflow-java:worker:legacy-worker").shadowJar.archivePath
    // Provide job with a customizable worker jar.
    // With legacy worker jar, containerImage is set to empty (i.e. to use the internal build).
    // More context and discussions can be found in PR#6694.
    loadTestArgs = loadTestArgs +
            " --dataflowWorkerJar=${dataflowWorkerJar} " +
            " --workerHarnessContainerImage="
  }

  main = mainClass
  classpath = configurations.gradleRun
  args loadTestArgs.split()
}