ium_464903/Jenkinsfile

pipeline {
    agent any 
    
    parameters {
            string(
                defaultValue: 'jakubbg',
                description: 'Kaggle username',
                name: 'KAGGLE_USERNAME',
                trim: false
            )
            password(
                defaultValue: 'e42b293c818e4ecd7b9365ee037af428',
                description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
                name: 'KAGGLE_KEY'
            )
            string(
                defaultValue: '100',
                description: 'CUTOFF parameter',
                name: 'CUTOFF',
                trim: false
            )
   } 

    stages {
        stage('Build') {
            steps {
                // Run the maven build
                withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                        "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
                    sh 'echo KAGGLE_USERNAME: $KAGGLE_USERNAME'
                    sh 'kaggle datasets list'
                }
            }
        }
        stage('Checkout') {
            steps {
                // Krok: Sklonowanie repozytorium git
                checkout scm
            }
        }
        stage('Execute Shell Script') {
            steps {
                withEnv(["CUTOFF=${params.CUTOFF}" ]) {
                // Krok: Wywołanie skryptu shella
                script {
                    sh 'chmod +x data_processing_script.sh' // Nadaj uprawnienia do wykonania skryptu
                    sh './data_processing_script.sh $CUTOFF' // Wykonaj skrypt
                }
            }
            }
        }
        stage('Archive Artifacts') {
            steps {
                // Krok: Zarchiwizowanie artefaktów
                archiveArtifacts artifacts: 'processed_data.csv', fingerprint: true
            }
        }
    }

    post {
        always {
            build job: 's464903-training', wait: false
        }
    }

}