pipeline {
    agent {docker { image 'snowycocoon/ium_434788:4'}}
	parameters{
        buildSelector(
            defaultSelector: lastSuccessful(),
            description: 'Which build to use for copying artifacts',
            name: 'WHICH_BUILD'
        )
    }

    stages {
		stage('copy artifacts')
            {
                steps
                {
                    sh 'rm -r my_model'
                    sh 'rm -r model'
                    copyArtifacts(fingerprintArtifacts: true, projectName: 's434695-training/train', selector: buildParameter('WHICH_BUILD'))
                }
            }
            stage('predict')
            {
                steps
                {
                    catchError {
                        sh 'python3.8 Zadanie_09_MLflow_Predict.py ${BATCH_SIZE} ${EPOCHS}'
                    }
                }
            }
	}

    post {
        success {
            mail body: 'SUCCESS',
                subject: 's434788 mlflow predict',
                to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
        }
        unstable {
            mail body: 'UNSTABLE', subject: 's434788 mlflow predict', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
        }
        failure {
            mail body: 'FAILURE', subject: 's434788 mlflow predict', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
        }
        changed {
            mail body: 'CHANGED', subject: 's434788 mlflow predict', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
        }
    }
}