pipeline {
    agent any
    stages {
        stage('Preparation') { 
            steps {
                script {
                    properties([
                        parameters([
                            string(
                                defaultValue: 'nbrt10',
                                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: '',
                              description: 'Set cutoff',
                              name: 'CUTOFF',
                              trim: false
                           )
                        ])
                    ])
                }
            }
        }
        stage('Kaggle') {
            steps {
                script {
                    withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                              "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
                        sh 'echo KAGGLE_USERNAME: $KAGGLE_USERNAME'
                    }
                }
            }
        }
        stage('Checkout') {
            steps {
                git branch: 'master', url: 'https://git.wmi.amu.edu.pl/s487175/ium_z487175.git'
            }
        }
        stage('Download from kaggle') {
            steps {
               sh 'kaggle datasets download -d shivam2503/diamonds > output.txt'
               sh 'unzip -o diamonds.zip >> output.txt'
               // przypisanie uprawnień
               sh 'chmod +x s487175-create-dataset-script.py'
            }
        }
        stage('Build image') {
            steps {
                //Tworzenie obrazu
                sh 'docker build --no-cache -t ium -f dockerfile .'
            }
        }
        stage('Run command in container') {
            steps {
                script {
                    // Uruchamia instancje obrazu ium
                    sh 'docker run -it ium'
                    // Uruchomienie skryptu w kontenerze
                    sh 'docker exec ium python3 /app/s487175-create-dataset-script.py >> output.txt'
                }
            }
        }
        stage('Archive file') {
                steps {
                    archiveArtifacts artifacts: 'output.txt, diamonds.csv', fingerprint: true
            }
        }              
    }
}