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 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"){
                    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 '
                    sh "cp ./results/*.csv ${WORKSPACE}" 
                }

                }
            }

    }

    stage('Saving artefacts') {
        echo 'Goodbye!'
        sh 'ls'
        archiveArtifacts artifacts: '*.csv' 
    }
    stage('Drawing plot') {
        plot csvFileName: 'plot-accuracy.csv', 
        csvSeries: [[
                            file: 'acc.csv',
                            exclusionValues: '',
                            displayTableFlag: false,
                            inclusionFlag: 'OFF',
                            url: '']],
        group: 'Plot Group',
        title: 'Accuracy',
        style: 'line',
        exclZero: false,
        keepRecords: false,
        logarithmic: false,
        numBuilds: '',
        useDescr: false,
        yaxis: '',
        yaxisMaximum: '',
        yaxisMinimum: ''
    }
}