pipeline {
   agent  any
         parameters{
             string(
                 defaultValue: 'kalkam',
                 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: '500',
                 description: 'CUTOFF',
                 name: 'CUTOFF',
                 trim: false
             )
         }
    stages {
      stage('Clear directory before executing') {
         steps {
            sh 'rm -rf *'
         }
      }

      stage('Clone Git') {
         steps {
            sh 'git clone https://git.wmi.amu.edu.pl/s486867/ium_z486867'
         }
      }

      stage('Download dataset') {
         steps {
         withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                  "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
               sh 'kaggle datasets download -d dansbecker/powerlifting-database'
               sh 'unzip powerlifting-database.zip -d ./ium_z486867'
            }
         }
      }
      stage('Docker') {
         agent {
            dockerfile {
               filename 'Dockerfile'
               dir      'ium_z486867'
               reuseNode true
            }
         }
         steps {
                  sh 'python ./ium_z486867/create-dataset.py'
                  archiveArtifacts 'X_test.csv'
                  archiveArtifacts 'X_dev.csv'
                  archiveArtifacts 'X_train.csv'
         }
      }
      stage('clear_after') {
         steps {
            sh 'rm -rf *'
         }
      }
   }
}