pipeline {
    agent { dockerfile true }

    parameters {
        string(name: 'CUTOFF', defaultValue: '10000', description: 'Liczba wierszy do obcięcia ze zbioru danych')
	    string(name: 'KAGGLE_USERNAME', defaultValue: '', description: 'Kaggle username')
        password(name: 'KAGGLE_KEY', defaultValue: '', description: 'Kaggle API key')
    }

    stages {
        stage('Clone Repository') {
            steps {
                git url: "https://git.wmi.amu.edu.pl/s464979/ium_464979"
            }
        }

        stage('Download, Process, and Split Dataset') {
            steps {
                withEnv([
                    "KAGGLE_USERNAME=${env.KAGGLE_USERNAME}",
                    "KAGGLE_KEY=${env.KAGGLE_KEY}"
                ]) {
                    sh 'mkdir -p ~/.kaggle'  // Create .kaggle directory if needed
                    sh 'echo \'{"username": "${KAGGLE_USERNAME}", "key": "${KAGGLE_KEY}"}\' > ~/.kaggle/kaggle.json'
                    sh "python3 IUM_02.py"
                }
            }
        }
        stage('Archive Results') {
            steps {
                archiveArtifacts artifacts: 'data/*', onlyIfSuccessful: true
            }
        }
    }
//     post {
//         always {
//              deleteDir()
//         }
//     }
}