pipeline { agent { dockerfile true } parameters { buildSelector( defaultSelector: lastSuccessful(), description: 'Which build to use for copying data artifacts', name: 'BUILD_SELECTOR_DATASET' ) buildSelector( defaultSelector: lastSuccessful(), description: 'Which build to use for copying training artifacts', name: 'BUILD_SELECTOR_TRAINING' ) buildSelector( defaultSelector: lastSuccessful(), description: 'Which build to use for copying evaluation artifacts', name: 'BUILD_SELECTOR_EVALUATION' ) gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'BRANCH', type: 'PT_BRANCH' } stages { stage('copy artifacts') { steps { copyArtifacts(fingerprintArtifacts: true, projectName: 's434742-create-dataset', selector: buildParameter('BUILD_SELECTOR_DATASET')) copyArtifacts(fingerprintArtifacts: true, projectName: 's434742-training/${BRANCH}', selector: buildParameter('BUILD_SELECTOR_TRAINING')) copyArtifacts(fingerprintArtifacts: true, optional:true, projectName: 's434742-evaluation/${BRANCH}', selector: buildParameter('BUILD_SELECTOR_EVALUATION')) } } stage('evaluation') { steps { script { sh "echo 'halko'" sh 'chmod +x avocado-evaluation.py' sh "echo ${env.BUILD_ID}" sh "python3 avocado-evaluation.py ${env.BUILD_ID}" sh 'python3 sacred-training.py' } } } stage('archiveArtifacts') { steps{ archiveArtifacts 'eval_results.txt' archiveArtifacts 'eval_plot.png' } } stage('sendMail') { steps{ emailext body: currentBuild.result ?: 'SUCCESS', subject: 's434742 evaluation', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms' } } } }