pipeline {
   agent {
      dockerfile {
         filename 'Lab4.dockerfile'
         reuseNode true
      }
   }
   parameters {
      string(
         defaultValue: '1000',
         description: 'Amount of values to be used from dataset',
         name: 'CUTOFF',
         trim: false
      )
      string(
         defaultValue: 'wleczny',
         description: 'Kaggle username',
         name: 'KAGGLE_USERNAME',
         trim: false
      )
      password(
         defaultValue: '2e89e20ceb0a48d9df01a01bad744776',
         description: 'Kaggle token',
         name: 'KAGGLE_KEY'
      )
   }
   stages {
      stage('Checkout') {
         steps {
            checkout scmGit(
               branches: [[name: '*/master']],
               extensions: [cleanBeforeCheckout()],
               userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s487183/ium_z487183.git']]
            )
         }
      }
      stage('Prepare data') {
         steps {
            withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
               sh 'echo "{\"username\":\"$KAGGLE_USERNAME\",\"key\":\"$KAGGLE_KEY\"}" > /.kaggle/kaggle.json'
               sh './get-data.sh'
               sh 'python3 prepare_dataset.py'
            }
         }
      }
      stage('Archive artifacts') {
         steps {
            withEnv(["CUTOFF=${params.CUTOFF}"]) {
               archiveArtifacts 'X_test.csv'
               archiveArtifacts 'X_val.csv'
               archiveArtifacts 'X_train.csv'
               archiveArtifacts 'Y_test.csv'
               archiveArtifacts 'Y_val.csv'
               archiveArtifacts 'Y_train.csv'
            }
         }
      }
   }
}