pipeline {
    agent {
        dockerfile true
    }
    
    parameters {
        string (
            defaultValue: '100',
            description: 'Wielkość odcięcia zbioru danych',
            name: 'CUTOFF',
            trim: false
        )
        string (
            defaultValue: 'skorzewski',
            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/blob/main/docs/README.md#api-credentials',
            name: 'KAGGLE_KEY'
        )
    }
    
    stages {
        stage('Test') {
            steps {
                sh 'pip3 list'
            }
        }
        stage('Checkout') {
            steps {
                checkout scmGit(
                    branches: [[name: '*/main']],
                    extensions: [],
                    userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/pms/ium-s301654']])
            }
        }
        stage('Kaggle') {
            steps {
                sh 'pip list'
                sh 'pip3 list'
                sh 'pip3 --version'
                sh 'python3 --version'
                script {
                    withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
                        sh 'pip list'
                        sh 'pip3 list'
                        sh 'pip3 --version'
                        sh 'python3 --version'
                        sh 'echo KAGGLE_USERNAME: $KAGGLE_USERNAME'
                        sh 'ls -al ~/.kaggle'
                        sh 'kaggle datasets list'
                    }
                }
            }
        }
        stage('Download') {
            steps {
                sh "CUTOFF=${CUTOFF} ./create-dataset.sh"
            }
        }
        stage('Archive') {
            steps {
                archiveArtifacts artifacts: 'data.csv', followSymlinks: false
            }
        }
    }
}