/*
 * 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 groovy.json.JsonOutput

plugins { id 'org.apache.beam.module'
    id 'org.jetbrains.kotlin.jvm' version '1.3.21'
}

applyJavaNature(exportJavadoc: false)
provideIntegrationTestingDependencies()
enableJavaPerformanceTesting()

description = "Apache Beam :: Examples :: Kotlin"
ext.summary = """Apache Beam SDK provides a simple, Kotlin-based
interface for processing virtually any size data. This
artifact includes all Apache Beam Kotlin SDK examples."""

/** Define the list of runners which execute a precommit test.
 * Some runners are run from separate projects, see the preCommit task below
 * for details.
 */
// TODO: Add apexRunner - https://issues.apache.org/jira/browse/BEAM-3583
def preCommitRunners = ["directRunner", "flinkRunner", "sparkRunner"]
for (String runner : preCommitRunners) {
  configurations.create(runner + "PreCommit")
}
configurations.sparkRunnerPreCommit {
  // Ban certain dependencies to prevent a StackOverflow within Spark
  // because JUL -> SLF4J -> JUL, and similarly JDK14 -> SLF4J -> JDK14
  exclude group: "org.slf4j", module: "jul-to-slf4j"
  exclude group: "org.slf4j", module: "slf4j-jdk14"
}

dependencies {
  shadow library.java.vendored_guava_20_0
  shadow project(path: ":sdks:java:core", configuration: "shadow")
  shadow project(path: ":sdks:java:extensions:google-cloud-platform-core", configuration: "shadow")
  shadow project(path: ":sdks:java:io:google-cloud-platform", configuration: "shadow")
  shadow library.java.google_api_client
  shadow library.java.google_api_services_bigquery
  shadow library.java.google_http_client
  shadow library.java.bigdataoss_util
  shadow library.java.google_auth_library_oauth2_http
  shadow library.java.google_auth_library_credentials
  shadow library.java.avro
  shadow library.java.google_api_services_pubsub
  shadow library.java.datastore_v1_proto_client
  shadow library.java.datastore_v1_protos
  shadow library.java.joda_time
  shadow library.java.slf4j_api
  shadow library.java.slf4j_jdk14
  runtime project(path: ":runners:direct-java", configuration: "shadow")
  shadowTest project(path: ":sdks:java:io:google-cloud-platform", configuration: "shadow")
  shadowTest library.java.hamcrest_core
  shadowTest library.java.hamcrest_library
  shadowTest library.java.junit
  shadowTest library.java.mockito_core

  // Add dependencies for the PreCommit configurations
  // For each runner a project level dependency on the examples project.
  for (String runner : preCommitRunners) {
    delegate.add(runner + "PreCommit", project(path: ":examples:kotlin", configuration: "shadow"))
    delegate.add(runner + "PreCommit", project(path: ":examples:kotlin", configuration: "shadowTest"))
  }
  // https://issues.apache.org/jira/browse/BEAM-3583
  // apexRunnerPreCommit project(path: ":beam-runners-apex", configuration: "shadow")
  directRunnerPreCommit project(path: ":runners:direct-java", configuration: "shadow")
  flinkRunnerPreCommit project(path: ":runners:flink:1.5", configuration: "shadow")
  // TODO: Make the netty version used configurable, we add netty-all 4.1.17.Final so it appears on the classpath
  // before 4.1.8.Final defined by Apache Beam
  sparkRunnerPreCommit "io.netty:netty-all:4.1.17.Final"
  sparkRunnerPreCommit project(path: ":runners:spark", configuration: "shadow")
  sparkRunnerPreCommit project(path: ":sdks:java:io:hadoop-file-system", configuration: "shadow")
  sparkRunnerPreCommit library.java.spark_streaming
  sparkRunnerPreCommit library.java.spark_core
  implementation "org.jetbrains.kotlin:kotlin-stdlib-jdk8"
}

/*
 * Create a ${runner}PreCommit task for each runner which runs a set
 * of integration tests for WordCount and WindowedWordCount.
 */
def preCommitRunnerClass = [
  apexRunner: "org.apache.beam.runners.apex.TestApexRunner",
  directRunner: "org.apache.beam.runners.direct.DirectRunner",
  flinkRunner: "org.apache.beam.runners.flink.TestFlinkRunner",
  sparkRunner: "org.apache.beam.runners.spark.TestSparkRunner",
]
def gcpProject = project.findProperty('gcpProject') ?: 'apache-beam-testing'
def gcsTempRoot = project.findProperty('gcsTempRoot') ?: 'gs://temp-storage-for-end-to-end-tests/'

for (String runner : preCommitRunners) {
  tasks.create(name: runner + "PreCommit", type: Test) {
    def preCommitBeamTestPipelineOptions = [
       "--project=${gcpProject}",
       "--tempRoot=${gcsTempRoot}",
       "--runner=" + preCommitRunnerClass[runner],
    ]
    classpath = configurations."${runner}PreCommit"
    include "**/WordCountIT.class"
    if (!"sparkRunner".equals(runner)) {
      include "**/WindowedWordCountIT.class"
    }
    forkEvery 1
    maxParallelForks 4
    systemProperty "beamTestPipelineOptions", JsonOutput.toJson(preCommitBeamTestPipelineOptions)
  }
}

/* Define a common precommit task which depends on all the individual precommits. */
task preCommit() {
  for (String runner : preCommitRunners) {
    dependsOn runner + "PreCommit"
  }
}

compileKotlin {
    kotlinOptions {
        jvmTarget = "1.8"
    }
}
compileTestKotlin {
    kotlinOptions {
        jvmTarget = "1.8"
    }
}
repositories {
  mavenCentral()
}