pipeline { agent { dockerfile true } triggers { upstream(upstreamProjects: 's464979-training/training', threshold: hudson.model.Result.SUCCESS) } parameters { buildSelector(defaultSelector: lastSuccessful(), description: 'Which build to use for copying artifacts', name: 'BUILD_SELECTOR') gitParameter branchFilter: 'origin/(.*)', defaultValue: 'training', name: 'BRANCH', type: 'PT_BRANCH' } stages { stage('Clone Repository') { steps { git branch: 'evaluation', url: "https://git.wmi.amu.edu.pl/s464979/ium_464979" } } stage('Copy Dataset Artifacts') { steps { copyArtifacts filter: 'beer_reviews.csv,beer_reviews_train.csv,beer_reviews_test.csv', projectName: 'z-s464979-create-dataset', selector: buildParameter('BUILD_SELECTOR') } } stage('Copy Training Artifacts') { steps { copyArtifacts filter: 'beer_review_sentiment_model.h5', projectName: 's464979-training/' + params.BRANCH, selector: buildParameter('BUILD_SELECTOR') } } stage('Copy Evaluation Artifacts') { steps { copyArtifacts filter: 'beer_metrics.txt', projectName: '_s464979-evaluation/evaluation', selector: buildParameter('BUILD_SELECTOR'), optional: true } } stage("Run predictions") { steps { sh "chmod +x ./IUM_05-predict.py" sh "python3 ./IUM_05-predict.py" archiveArtifacts artifacts: 'beer_review_sentiment_predictions.csv', onlyIfSuccessful: true } } stage('Run metrics') { steps { sh 'chmod +x ./IUM_06-metrics.py' sh "python3 ./IUM_06-metrics.py ${currentBuild.number}" } } stage('Run plot') { steps { sh 'chmod +x ./IUM_06-plot.py' sh 'python3 ./IUM_06-plot.py' } } stage('Archive Artifacts') { steps { archiveArtifacts artifacts: '*', onlyIfSuccessful: true } } } }