ium_464914/Jenkinsfile
2024-04-30 19:25:40 +02:00

59 lines
2.1 KiB
Groovy

pipeline {
agent any
parameters {
buildSelector (
defaultSelector: lastSuccessful(),
description: 'Build for copying artifacts',
name: 'BUILD_SELECTOR'
)
gitParameter branchFilter: 'origin/(.*)', defaultValue: 'model', name: 'BRANCH', type: 'PT_BRANCH'
}
stages {
stage('Git Checkout') {
steps {
checkout scm
}
}
stage('Copy Artifacts') {
steps {
copyArtifacts fingerprintArtifacts: true, projectName: 'z-s464914-create-dataset', selector: buildParameter('BUILD_SELECTOR')
copyArtifacts filter: '*', projectName: 's464914-training/model/', selector: buildParameter('BUILD_SELECTOR')
copyArtifacts filter: '*', projectName: 's464914-evaluation/evaluation/', selector: buildParameter('BUILD_SELECTOR'), optional: true
}
}
stage('Prediction') {
steps {
script {
def customImage = docker.build("custom-image")
customImage.inside {
sh 'python3 ./prediction.py'
archiveArtifacts artifacts: 'predictions.txt', onlyIfSuccessful: true
}
}
}
}
stage('Metrics') {
steps {
script {
def customImage = docker.build("custom-image")
customImage.inside {
sh 'python3 ./metrics.py'
archiveArtifacts artifacts: 'metrics.txt', onlyIfSuccessful: true
}
}
}
}
stage('Plot Accuracy') {
steps {
script {
def customImage = docker.build("custom-image")
customImage.inside {
sh 'python3 ./plot.py'
archiveArtifacts artifacts: 'accuracy.png', onlyIfSuccessful: true
}
}
}
}
}
}