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 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'