pipeline {
    agent any;

   parameters{
      buildSelector(
            defaultSelector: lastSuccessful(),
            description: 'Which build to use for copying artifacts',
            name: 'WHICH_BUILD'
        )
        string(
            defaultValue: '16',
            description: 'batch size',
            name: 'BATCH_SIZE'
        )
        string(
            defaultValue: '15', 
            description: 'epochs',
            name: 'EPOCHS'
            
        )
   }
   stages {
		stage('copy artifacts')
            {
                steps
                {
                    copyArtifacts(fingerprintArtifacts: true, projectName: 's434695-create-dataset', selector: buildParameter('WHICH_BUILD'))
                }
            }
        stage('docker-training') {
			steps {
                script {
                    def img = docker.build('shroomy/ium2:2')
                    img.inside {
                        sh "python3 train.py ${EPOCHS} ${BATCH_SIZE}"
                 
                    }
                }
			}
		}

		stage('Archive artifacts') {
			steps{
				archiveArtifacts 'vgsales_model.h5'
                		archiveArtifacts 'my_runs/**'
			}
		}
	}
    post {
        success {
            build job: 's434695-evaluation/master'
            mail body: 'SUCCESS TRAINING', subject: 's434695', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
        }

        failure {
            mail body: 'FAILURE TRAINING', subject: 's434695', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
        }

   }
}