ium_434804/Jenkisfile_train

pipeline {
    agent {dockerfile true}
	parameters {
		buildSelector(
            defaultSelector: lastSuccessful(),
            description: 'Which build to use for copying artifacts',
            name: 'BUILD_SELECTOR'
        )
	}
    stages {
		stage('copyArtifacts') {
            steps {
                copyArtifacts fingerprintArtifacts: true, projectName: 's434804-create-dataset', selector: buildParameter('BUILD_SELECTOR')
            }
        }
        stage('training') {
			steps {
                sh 'chmod +x tensor.py'
                sh 'python3 tensor.py'
                sh 'rm -rf country_vaccination'
                sh 'chmod +x mlflow_model.py'
                sh 'python3 mlflow_model.py'
                sh "export MLFLOW_TRACKING_URI=http://172.17.0.1:5000"
                sh 'python3 mlflow_model.py'
			}
		}
		stage('archiveArtifacts') {
			steps{
				archiveArtifacts 'vaccines_model/saved_model.pb'
                archiveArtifacts 'country_vaccination/**'
			}
		}
        stage('sendMail') {
            steps{
                emailext body: currentBuild.result ?: 'TRAINING SUCCESS',
                subject: 's434804',
                to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
            }
        }
    }
}