pipeline {
   agent any
   //Definijuemy parametry, które będzie można podać podczas wywoływania zadania
   parameters {
     string (
         defaultValue: 'kaggletests',
         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: '0',
                 description: 'CUTOFF',
                 name: 'CUTOFF',
                 trim: false
             )    
             
   }
   stages {
 stage('clear_all') {
         steps {
            //Wypisz wartość parametru w konsoli (To nie jest polecenie bash, tylko groovy!)
            sh 'rm -rf *'
         }
      }
      stage('checkout') {
         steps {
            //Wypisz wartość parametru w konsoli (To nie jest polecenie bash, tylko groovy!)
            sh 'git clone https://git.wmi.amu.edu.pl/s487174/ium_z487174'
         }
      }
      

      stage('Build') {
         steps {
         // Run the maven build
         withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                  "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
                 print 'DEBUG: parameter isFoo = ' + params.KAGGLE_KEY
                 sh "export KAGGLE_USERNAME=${params.KAGGLE_USERNAME}"
                 sh "export KAGGLE_KEY=${params.KAGGLE_KEY}"
              // sh 'kaggle datasets download -d bartoszpieniak/poland-cars-for-sale-dataset'
              // sh 'unzip archive.zip -d ./ium_z487174'
            
         }
         }
      }
      stage('BuildDocker') {
         steps {
            //Wypisz wartość parametru w konsoli (To nie jest polecenie bash, tylko groovy!)
            sh 'mkdir ./results'
            sh 'echo $KAGGLE_KEY'
            sh 'docker build -t datasets:1.0 ./ium_z487174'
           // sh 'pip3 install -r ./ium_z487174/requirements.txt'
           // sh 'python3 ./ium_z487174/dataset.py'
         }
      }
            stage('RunDocker') {
         steps {
         sh "docker run -e KAGGLE_USERNAME=$KAGGLE_USERNAME -e KAGGLE_KEY=$KAGGLE_KEY -v /var/lib/jenkins/workspace/z-s487174-create-dataset/results:/app/results datasets:1.0"
          
         }
      }
      stage('Goodbye!') {
         steps {
            echo 'Goodbye!'
            //Zarchiwizuj wynik
            //archiveArtifacts 'output.txt'
            archiveArtifacts 'results/train_data.csv, results/dev_data.csv, results/test_data.csv'
         }
      }
   }
}