ium_s449288/lab8/Jenkinsfile_predict_artifact

pipeline {
    agent {
        docker {
            image 's449288/ium:lab8.1'
        }
    }
    parameters {
        string(
            defaultValue: '{\\"inputs\\": [0, 0, 2, 904.129525, 1, 1, 20.098413, 79.10786]}',
            description: 'Input example in json format',
            name: 'INPUT'
        )
        buildSelector(
			defaultSelector: lastSuccessful(),
			description: 'Which build to use for copying artifacts',
			name: 'BUILD_SELECTOR'
		)
    }
    stages {
        stage('Stage 1') {
            steps {
                echo 'Copying model from s444417-training...' 
                copyArtifacts filter: 'mlruns.tar.gz', projectName: 's444417-training/master', selector: buildParameter('BUILD_SELECTOR')
                sh 'mkdir mlruns_s444417 && tar xvzf mlruns.tar.gz -C mlruns_s444417 --strip-components 1'
                echo 'Model copied'
                echo 'Making a prediction...'
                sh "echo ${params.INPUT} > input_example.json"
                sh 'python3 predict_artifact.py'
                echo 'Prediction made'
            }
        }
    }
}