ium_444507/Jenkinsfile_predict

pipeline {
    agent {
        docker { image 's444507_create_dataset_image' }
    }
    parameters {
        buildSelector(
          defaultSelector: lastSuccessful(),
          description: 'Which build to use for copying artifacts for predict',
          name: 'BUILD_SELECTOR')
          string(
            defaultValue: '{\\"inputs\\": [[0.51, 0.86], [0.79, 0.79], [0.74, 0.77], [0.66, 0.73]]}',
            description: 'Input file',
            name: 'INPUT',
            trim: true
          )
    }
    stages {
        stage('Copy arifacts') {
            steps {
                copyArtifacts projectName: 's444356-training/master', selector: buildParameter('BUILD_SELECTOR')
                sh "echo ${params.INPUT} > input_example.json"
            }
        }
        stage('Run prediction on model') {
            steps {
                sh "python3 lab08_predict.py"
            }
        }
    }
    post {
        success {
            archiveArtifacts artifacts: 'CarPrices_pytorch_model.pkl, mlruns/**, my_model/**', followSymlinks: false
        }
        always {
            emailext body: "${currentBuild.currentResult}", subject: 's444507-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
        }
    }
}