node {
    stage('Preparation') { 
        properties([
            pipelineTriggers([
                // TODO change auto run after train
                upstream(
                    threshold: hudson.model.Result.SUCCESS,
                    upstreamProjects: 's424714-create-dataset'
                    )
            ]),
            copyArtifactPermission('*'),
            parameters([
                buildSelector(
                    defaultSelector: lastSuccessful(),
                    description: 'Which build to use for copying artifacts',
                    name: 'BUILD_SELECTOR'
                ),

            ])
        ])
    }

    stage('Git clone') {
        //cloning git repo
        checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[credentialsId: 's424714', url: 'https://git.wmi.amu.edu.pl/s424714/ium_424714']]])
    }

    stage('Dockerfile build') {


            sh "chmod +x -R ${env.WORKSPACE}"
                copyArtifacts fingerprintArtifacts: true, projectName: 's424714-create-dataset', selector: buildParameter('BUILD_SELECTOR')
                //TODO from train
                copyArtifacts filter: '*', projectName: 's424714-training/train'
                // copyArtifacts filter('*.csv') projectName: env.JOB_NAME,  selector: specific(env.BUILD_NUMBER)
                // copyArtifacts fingerprintArtifacts: true, projectName: 's424714-create-dataset', selector: buildParameter('BUILD_SELECTOR')

            def dockerImage = docker.build("s424714-model")

            dockerImage.inside {
            withEnv(["TRANSFORMERS_CACHE=./.cache"]) {
                stage("Docker: cloning artifacts"){
                    script {
                        if (currentBuild.previousBuild) {
                            try {
                                copyArtifacts(projectName: currentBuild.projectName,
                                            selector: specific("${currentBuild.previousBuild.number}"))

                                echo("The current build is ${currentBuild.number}")
                                sh 'mkdir -p ./results/'
                                sh 'mv acc.csv ./results/acc.csv'
                            } catch(err) {
                                echo("NOT FOUND previos artifacts")
                                // ignore error
                            }
                        }
                    }

        
                    sh 'mkdir -p ./data/dataset'
                    sh 'mv -t ./data/dataset train.csv test.csv val.csv'
                    sh 'mv -t ./data True.csv Fake.csv'
                    sh 'mkdir -p ./results/'
                    sh 'mv model.pt ./results/model.pt'
                }
                stage("Docker: Running training model")
                {
                    sh 'mkdir -p ./.cache'
                    // sh ""
                    sh 'python ./src/main.py --test --build_id=${currentBuild.number} '
                    sh 'python ./src/plot.py '
                    sh "cp ./results/*.csv ${WORKSPACE}" 
                    sh "cp ./results/*.png ${WORKSPACE}" 
                }

                }
            }

    }

    stage('Saving artefacts') {
        echo 'Goodbye!'
        sh 'ls'
        archiveArtifacts artifacts: '*.csv', '*.png' 
    }
}