pipeline {
    agent { 
        dockerfile true 
    }

    stages {
        stage('Build') {
            steps {
                git 'https://git.wmi.amu.edu.pl/s434749/ium_434749.git'
                copyArtifacts fingerprintArtifacts: true, projectName: 's434749-training', selector: lastSuccessful()
                sh 'python3 train_model.py with "mode=eval"'
                script{
                    def results = readFile "${env.WORKSPACE}/results.txt"
                }
            }

            post {
                success {
                    emailext body: 'Evaluation of CNN for english phonetic embeddings has finished successfully!\n'+results, subject: 's434749 evaluation finished', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
                    archiveArtifacts 'results.txt, sacred_file_observer'
                }
            }
        }
    }
}