pipeline{
    agent any

    stages{
         stage('Copy model artifacts with test dataset') {
            steps {
                copyArtifacts(
                    projectName: 'z-s487175-training',
                    fingerprintArtifacts: true,
                    selector: buildParameter('BUILD_SELECTOR')
                )
            }
        }

        stage('Train model'){
            steps{
                sh "docker run -v ${env.WORKSPACE}/dane:/app ium python3 /app/DL-prediction.py"
            }
        }

        stage('Archive prediction results'){
            steps{
                sh "docker cp \$(docker ps -l -q):/app/results_prediction.csv ${env.WORKSPACE}"
                archiveArtifacts artifacts: 'results_prediction.csv', fingerprint: true
            }
        }
    }
}