71 lines
1.8 KiB
Groovy
71 lines
1.8 KiB
Groovy
pipeline {
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agent {
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dockerfile true
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}
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triggers {
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upstream(upstreamProjects: 's464913-training/training', threshold: hudson.model.Result.SUCCESS)
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}
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parameters {
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts',
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name: 'BUILD_SELECTOR'
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)
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gitParameter branchFilter: 'origin/(.*)', defaultValue: 'training', name: 'BRANCH', type: 'PT_BRANCH'
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}
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stages {
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stage('Clone Repository') {
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steps {
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git branch: 'evaluation', url: 'https://git.wmi.amu.edu.pl/s464913/ium_464913.git'
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}
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}
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stage('Copy Artifacts from dataset job') {
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steps {
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copyArtifacts filter: 'data/*', projectName: 'z-s464913-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage('Copy Artifacts from training job') {
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steps {
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copyArtifacts filter: 'model/*', projectName: 's464913-training/' + params.BRANCH, selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage('Copy Artifacts from evaluation job') {
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steps {
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copyArtifacts filter: 'evaluation/*', projectName: 's464913-evaluation/evaluation', selector: buildParameter('BUILD_SELECTOR'), optional: true
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}
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}
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stage('Run predict script') {
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steps {
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sh 'chmod +x predict.py'
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sh 'python3 ./predict.py'
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}
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}
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stage('Run metrics script') {
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steps {
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sh 'chmod +x metrics.py'
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sh "python3 ./metrics.py ${currentBuild.number}"
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}
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}
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stage('Run plot script') {
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steps {
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sh 'chmod +x plot.py'
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sh 'python3 ./plot.py'
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}
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}
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stage('Archive Artifacts') {
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steps {
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archiveArtifacts artifacts: 'evaluation/*', onlyIfSuccessful: true
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}
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}
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}
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} |