pipeline {
    agent {
        dockerfile true
        }
	parameters {
		string(
			defaultValue: '5',
			description: 'learning iterations',
			name: 'epoch'
		)
	}
    stages {
        stage('Stage 1') {
            steps {
					copyArtifacts filter: 'data.csv', fingerprintArtifacts: true, projectName: 's444386-create-dataset', selector: lastSuccessful()
				    sh 'chmod u+x ./sacred_training.py'
					sh 'python3 sacred_training.py $epoch'
					sh 'tar -czf model.tar.gz model/'
					archiveArtifacts 'model.tar.gz'
					archiveArtifacts 'xtest.csv'
					archiveArtifacts 'ytest.csv'
                    archiveArtifacts './training'
				}
            }
        }
	post {
        success {
            emailext body: 'SUCCESS', subject: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
            build job: 's444386-evaluation/training-evaluation/'
        }
        failure {
            emailext body: 'FAILURE', subject: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
        unstable {
            emailext body: 'UNSTABLE', subject: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
        changed {
            emailext body: 'CHANGED', subject: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }		
    }
}