pipeline { agent none options { copyArtifactPermission('s470607-evaluation/master') } parameters { buildSelector( defaultSelector: lastSuccessful(), description: 'Which build to use for copying artifacts', name: 'BUILD_SELECTOR') string(name: 'LEARNING_RATE', defaultValue: '0.0003', description: 'learning rate') } stages { stage('copy files') { agent any steps { sh ''' cp ./lab5/train/Dockerfile . cp ./lab5/train/script.sh . cp ./lab5/train/train.py . cp ./lab5/train/requirements.txt . ''' } } stage('docker') { agent { docker { image 'kubakonieczny/ium:train-sacred-mlflow3' } } stages { stage('copyArtifacts') { steps { copyArtifacts fingerprintArtifacts: true, projectName: 's470607-create-dataset', selector: buildParameter('BUILD_SELECTOR') } } stage('ls') { steps { sh 'chmod +x script.sh' withEnv(["LEARNING_RATE=${params.LEARNING_RATE}"]) { sh './script.sh $LEARNING_RATE' } sh 'ls -lah' } } stage('archive artifact') { steps { archiveArtifacts 'grid-stability-dense.h5' archiveArtifacts 'my_runs/**' archiveArtifacts 'grid-stability-dense/**' } } } } } post { success { build job: 's470607-evaluation/master' mail body: 'SUCCESS', subject: 's470607-training', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms' } failure { mail body: 'FAILURE', subject: 's470607-training', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms' } } }