55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
pipeline {
|
|
agent any
|
|
parameters{
|
|
gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'BRANCH', type: 'PT_BRANCH'
|
|
}
|
|
stages {
|
|
stage('Clear') {
|
|
steps {
|
|
sh 'rm -rf *'
|
|
}
|
|
}
|
|
stage('Clone Git') {
|
|
steps {
|
|
sh 'git clone https://git.wmi.amu.edu.pl/s487174/ium_z487174'
|
|
}
|
|
}
|
|
stage('Copy Artifacts') {
|
|
steps {
|
|
copyArtifacts(projectName: 'z-s487174-training/master', fingerprintArtifacts: true)
|
|
}
|
|
}
|
|
stage('Copy Artifacts From Evaluation') {
|
|
steps {
|
|
copyArtifacts(projectName: 'z-s487174-evaluation/master', fingerprintArtifacts: true, optional: true)
|
|
}
|
|
}
|
|
stage('copy_artifacts_test_data') {
|
|
steps {
|
|
copyArtifacts(projectName: 'z-s487174-create-dataset', filter: 'data_test.csv,data_test2.csv', fingerprintArtifacts: true)
|
|
}
|
|
}
|
|
stage('Docker') {
|
|
agent {
|
|
dockerfile {
|
|
filename 'Dockerfile'
|
|
dir 'ium_z487174',
|
|
reuseNode true
|
|
}
|
|
}
|
|
steps {
|
|
sh 'ls -a'
|
|
sh 'python ./ium_z487174/predict.py'
|
|
sh 'python ./ium_z487174/generate_plot.py'
|
|
archiveArtifacts 'data_prediction.csv'
|
|
archiveArtifacts 'data_metrics.csv'
|
|
archiveArtifacts 'image_metrics.png'
|
|
}
|
|
}
|
|
stage('Clear') {
|
|
steps {
|
|
sh 'rm -rf *'
|
|
}
|
|
}
|
|
}
|
|
} |