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('checkout') {
            steps {
               copyArtifacts fingerprintArtifacts: true, projectName: 's434695-create-dataset', selector: buildParameter('WHICH_BUILD')
            }
        }
        stage('docker-training') {
			steps {
                script {
                    def img = docker.build('shroomy/ium:5')
                    img.inside {
                        sh "python3 train.py"
                        sh "python3 sacred1.py"
                        sh "python3 sacred2.py"
                 
                    }
                }
			}
		}
      stage('archiveArtifacts') {
			steps{
                archiveArtifacts 'ium_s434695/**'
				archiveArtifacts 'model1'
			}
		}
    }
    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'
        }

   }
}