node {
    stage('Preparation') { 
        properties([
            parameters([
                string(
                    defaultValue: 'filippatyk',
                    description: 'Kaggle username',
                    name: 'KAGGLE_USERNAME',
                    trim: false
                ),
                password(
                    defaultValue: '',
                    description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
                    name: 'KAGGLE_KEY'
                ),
                string(
                    defaultValue: '200',
                    description: 'CUTOFF',
                    name: 'CUTOFF',
                    trim: false
                ),
            ])
        ])
    }

    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}"

            def dockerImage = docker.build("dataset-create")

            dockerImage.inside("""-w=${WORKSPACE}  """){
                stage("Docker container running") {
                    withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                            "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {

                            sh "kaggle datasets download -p data --unzip clmentbisaillon/fake-and-real-news-dataset && python ./dataset.py --dataset"
                            sh "cp ./data/dataset/* ${WORKSPACE}"
                            sh "cp ./data/*.csv ${WORKSPACE}"

                            }
                }
            }       
    }

    stage('Saving artefacts') {
        echo 'Goodbye!'
        sh 'ls'
        archiveArtifacts artifacts: '*.csv'
    }
}
// post {
//   success {
//     build job: 's424714-training'
//   }
// }