node {
    checkout scm
    def dockerimage = docker.build("dockerfile_titanic")
    dockerimage.inside {
 stage('Preparation') {
     properties([
         parameters([
             string(
                 defaultValue: 'wiktorbombola',
                 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: '900',
                 description: 'Number of head lines to be taken from test file',
                 name: 'CUTOFF',
                 trim: false)
         ])
     ])
 }
 stage('Build') {
     withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
              "KAGGLE_KEY=${params.KAGGLE_KEY}",
              "CUTOFF=${params.CUTOFF}"]) {
            sh "./script.sh ${CUTOFF}"
     }
 }


 stage('artifacts') {
         echo 'saving artifacts'
         archiveArtifacts 'output.csv'
}
stage('Trigger Learning pipeline') {
                build job: './s470618-training', wait:false
        }
}
}