node { checkout scm stage('Init') { properties([ pipelineTriggers([ upstream(threshold: hudson.model.Result.SUCCESS, upstreamProjects: 's452639-create-dataset' ) ]), parameters([ buildSelector( defaultSelector: lastSuccessful(), description: "Source of dataset", name: 'BUILD_SELECTOR' ), string( defaultValue: "2", description: "Epochs count", name: "EPOCHS", trim: true ), ]) ]) } def local_image = docker.build("s452639-image") local_image.inside { stage('Build') { checkout([$class: 'GitSCM', branches: [[name: BRANCH_NAME]], extensions: [], userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s452639/ium_452639']]]) copyArtifacts fingerprintArtifacts: true, projectName: 's452639-create-dataset', selector: lastSuccessful(), flatten: true, target: 'src/' sh 'cd src; python tf_train.py $EPOCHS' archiveArtifacts artifacts: 'src/model.keras,mlruns/**/*', followSymlinks: false } } stage('Trigger') { build wait: false, job: 's452639-evaluation.eg' } }