pipeline {
    agent {
	    docker {image 'zadanie'}
	}
	parameters {
		buildSelector(
			defaultSelector: lastSuccessful(),
			description: 'Which build to use for copying artifacts',
			name: 'BUILD_SELECTOR'
		)
		string(
            defaultValue: '10',
            description: 'some training parameter',
            name: 'TPARAM'
        )
	}
    stages {

		stage('Copy artifacts') {
			steps {
                copyArtifacts fingerprintArtifacts: true, projectName: 's444501-create-dataset', selector: buildParameter('BUILD_SELECTOR')
			}
		}
        stage('Train model') {
            steps {
				sh 'python biblioteki_ml.py'
			}
		}
		stage('Archive model') {
            steps {
				archiveArtifacts artifacts: 'model.pkl, neural_network_prediction_results.csv'
			}
		}
	}
	post {
        always {
            emailext body: "${currentBuild.currentResult}", subject: 's444501-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
    }
}