pipeline { agent {dockerfile true} parameters { buildSelector( defaultSelector: lastSuccessful(), description: 'Which build to use for copying artifacts', name: 'BUILD_SELECTOR' ) } stages { stage('copyArtifacts') { steps { copyArtifacts fingerprintArtifacts: true, projectName: 's434804-create-dataset', selector: buildParameter('BUILD_SELECTOR') } } stage('training') { steps { sh 'chmod +x tensor.py' sh 'python3 tensor.py' sh 'rm -rf country_vaccination' sh 'chmod +x mlflow_model.py' sh 'python3 mlflow_model.py' sh "export MLFLOW_TRACKING_URI=http://172.17.0.1:5000" sh 'python3 mlflow_model.py' } } stage('archiveArtifacts') { steps{ archiveArtifacts 'vaccines_model/saved_model.pb' archiveArtifacts 'country_vaccination/**' } } stage('sendMail') { steps{ emailext body: currentBuild.result ?: 'TRAINING SUCCESS', subject: 's434804', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms' } } } }