63 lines
2.0 KiB
Groovy
63 lines
2.0 KiB
Groovy
pipeline {
|
|
agent {
|
|
dockerfile true
|
|
}
|
|
|
|
triggers {
|
|
upstream(upstreamProjects: 's464937-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/s464937/ium_464937"
|
|
}
|
|
}
|
|
stage('Copy Dataset Artifacts') {
|
|
steps {
|
|
copyArtifacts filter: 'data/dev.csv,data/test.csv,data/train.csv', projectName: 'z-s464937-create-dataset', selector: buildParameter('BUILD_SELECTOR')
|
|
}
|
|
}
|
|
stage('Copy Training Artifacts') {
|
|
steps {
|
|
copyArtifacts filter: 'powerlifting_model.h5', projectName: 's464937-training/' + params.BRANCH, selector: buildParameter('BUILD_SELECTOR')
|
|
}
|
|
}
|
|
stage('Copy Evaluation Artifacts') {
|
|
steps {
|
|
copyArtifacts filter: 'metrics.txt', projectName: '_s464937-evaluation/evaluation', selector: buildParameter('BUILD_SELECTOR'), optional: true
|
|
}
|
|
}
|
|
stage("Run predictions") {
|
|
steps {
|
|
sh "chmod +x ./predict.py"
|
|
sh "python3 ./predict.py"
|
|
archiveArtifacts artifacts: 'powerlifting_test_predictions.csv', onlyIfSuccessful: true
|
|
}
|
|
}
|
|
stage('Run metrics') {
|
|
steps {
|
|
sh 'chmod +x ./metrics.py'
|
|
sh "python3 ./metrics.py ${currentBuild.number}"
|
|
}
|
|
}
|
|
|
|
stage('Run plot') {
|
|
steps {
|
|
sh 'chmod +x ./plot.py'
|
|
sh 'python3 ./plot.py'
|
|
}
|
|
}
|
|
stage('Archive Artifacts') {
|
|
steps {
|
|
archiveArtifacts artifacts: '*', onlyIfSuccessful: true
|
|
}
|
|
}
|
|
}
|
|
}
|