pipeline {
    agent {
        dockerfile {
            args '-v /mlruns:/mlruns'
        }
    }
    parameters {
        buildSelector(
			defaultSelector: lastSuccessful(),
			description: 'Which build to use for copying artifacts',
			name: 'BUILD_SELECTOR'
		)
    }
    stages {
        stage('Stage') {
            steps {
                copyArtifacts filter: 'mlruns.tar.gz', projectName: 's449288-training/master', selector: buildParameter('BUILD_SELECTOR')
                sh 'mkdir -p mlrunsArtifact && tar xzf mlruns.tar.gz -C mlrunsArtifact --strip-components 1'
                sh "python lab8/predictArtifact.py"
            }
        }
    }
}