pipeline {
  	agent {
		docker {
            		image 'maciejczajka'
			args '-v /mlruns:/mlruns'
        	}
	}
	parameters {
        string(
            defaultValue: '100',
            description: 'Number of epochs',
            name: 'EPOCHS',
            trim: false
        )
    }
   stages {
	stage('Script'){
		steps {
                        copyArtifacts filter: '*', projectName: 's444356-create-dataset'
			sh 'rm -rf my_model'
			sh "python Biblioteka_DL/dllib-mlflow.py $EPOCHS"
			archiveArtifacts artifacts: 'games_model.pkl'
			archiveArtifacts artifacts: 'mlruns/**'
			archiveArtifacts artifacts: 'my_model/**'
			sh 'rm -r mlruns'
			sh 'rm -r my_model'
			build job: 's444356-evaluation/master/'
		}
	}
    }
    post {
        success {
            emailext body: 'SUCCESS', subject: 's444356-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
        failure {
            emailext body: 'FAILURE', subject: 's444356-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
        unstable {
            emailext body: 'UNSTABLE', subject: 's444356-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
        changed {
            emailext body: 'CHANGED', subject: 's444356-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }		
    }
}