ium_s449288/lab6/Jenkinsfile_train

pipeline {
    agent {
        dockerfile {
            dir 'lab6'
        }
        }
    parameters {
        string(
			defaultValue: '100',
			description: 'Example training parameter',
			name: 'EPOCHS_NUM'
		)
    }
    stages {
        stage('Stage 1') {
            steps {
				    sh 'chmod u+x ./lab6/simple_regression.py'
					echo 'Copying datasets from create-dataset...'
					copyArtifacts filter: '*', projectName: 's449288-create-dataset'
					echo 'Datasets copied'
					echo 'Conducting simple regression model test'
					sh 'python3 lab6/simple_regression.py $EPOCHS_NUM'
					echo 'Model and predictions saved'
                    sh 'head lab6/lego_reg_results.csv'
					sh 'ls -lh lab6/lego_reg_model'
                    echo 'Archiving model...'
                    sh 'tar -czf lab6/lego_reg_model.tar.gz lab6/lego_reg_model/'
                    archiveArtifacts 'lab6/lego_reg_model.tar.gz'
                    echo 'Model archived'
					echo 'Launching the s449288-evaluation job...'
					build job: 's449288-evaluation/master/'
				}
            }
        }
    post {
        success {
            emailext body: 'SUCCESS', subject: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
        failure {
            emailext body: 'FAILURE', subject: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
        unstable {
            emailext body: 'UNSTABLE', subject: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
        changed {
            emailext body: 'CHANGED', subject: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }		
    }
}