ium_434742/training.Jenkinsfile

pipeline {
    agent any;

    options {
        copyArtifactPermission('s434742-evaluation_master');
    }

	parameters {
		buildSelector(
					defaultSelector: lastSuccessful(),
					description: 'Which build to use for copying artifacts',
					name: 'BUILD_SELECTOR'
        )
        string(
             defaultValue: '16',
             description: 'batch size',
             name: 'BATCH_SIZE'
         )
         string(
             defaultValue: '10', 
             description: 'epochs',
             name: 'EPOCHS'
         )
	}
    stages {
		stage('copyArtifacts') {
            steps {
                copyArtifacts fingerprintArtifacts: true, projectName: 's434742-create-dataset', selector: buildParameter('BUILD_SELECTOR')
            }
        }

        stage('docker-training') {
			steps {
                script {
                    def img = docker.build('patlaz/ium:1.0')
                    img.inside {
                        sh 'chmod +x avocado-training.py'
                        sh "echo ${EPOCHS} ${BATCH_SIZE}"
                        sh "python3 avocado-training.py ${EPOCHS} ${BATCH_SIZE}"
                        sh "python3 avocado-mlflow.py ${EPOCHS} ${BATCH_SIZE}"
                 
                    }
                }
			}
		}


		stage('archiveArtifacts') {
			steps{
				archiveArtifacts 'avocado_model.h5'
                archiveArtifacts 'mlruns/**'
                archiveArtifacts 'avocado_model/**'
			}
		}

        stage('sendMail') {
            steps{
                emailext body: currentBuild.result ?: 'SUCCESS',
                subject: 's434742 training',
                to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
            }
        }
    }
}