pipeline {
    agent {
        docker {
            image 's444409-create-dataset'
        }
    }
    
    stages {
        stage('Train model') {
            steps {
                sh "python train_model.py"
            }
        }
    }

    environment {
        NOTIFICATION_ADDRESS = 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
    }

    post {
        always {
            archiveArtifacts artifacts: 'model_out', 
            onlyIfSuccessful: true
        }

        success {
            emailext body: 'SUCCESS', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
        }

        failure {
            emailext body: 'FAILURE', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
        }

        unstable {
            emailext body: 'UNSTABLE', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
        }

        changed {
            emailext body: 'CHANGED', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
        }	
    }
}