pipeline {   
    agent {
		dockerfile {
			additionalBuildArgs '-t s444498-init-datasets'
			args '-e KAGGLE_USERNAME=${params.KAGGLE_USERNAME} -e KAGGLE_KEY=${params.KAGGLE_KEY}'
		}
	} 
    parameters {
        string (
            defaultValue: 'wirus006',
            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'
        )
    }
    options {
        copyArtifactPermission('s444498-training');
    }
    stages {
        stage('Init datasets') {
            steps {
                sh 'python3 init.py'
            }
        }
        stage('Archive datasets') {
            steps {
                archiveArtifacts artifacts: 'atp_test.csv, atp_dev.csv, atp_train.csv', onlyIfSuccessful: true
            }
        }
        stage('Run training job') {
            steps {
                build job: "s444498-training/master"
            }
        }
    }
}