88 lines
3.1 KiB
Groovy
88 lines
3.1 KiB
Groovy
pipeline {
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agent any
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stages {
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stage('Preparation') {
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steps {
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script {
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properties([
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parameters([
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string(
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defaultValue: 'nbrt10',
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description: 'Kaggle username',
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name: 'KAGGLE_USERNAME',
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trim: false
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),
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password(
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defaultValue: '',
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description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
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name: 'KAGGLE_KEY'
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),
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string(
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defaultValue: '',
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description: 'Set cutoff',
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name: 'CUTOFF',
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trim: false
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)
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])
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])
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}
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}
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}
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stage('Kaggle') {
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steps {
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script {
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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sh 'echo KAGGLE_USERNAME: $KAGGLE_USERNAME'
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}
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}
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}
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}
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stage('Checkout') {
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steps {
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git branch: 'master', url: 'https://git.wmi.amu.edu.pl/s487175/ium_z487175.git'
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}
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}
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stage('Upgrade library') {
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steps {
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sh 'pip install --upgrade urllib3 chardet'
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sh 'pip install --upgrade pyopenssl'
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}
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}
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stage('Download from kaggle') {
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steps {
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sh 'kaggle datasets download -d shivam2503/diamonds > output.txt'
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sh 'unzip -o diamonds.zip >> output.txt'
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// przypisanie uprawnień
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sh 'chmod +x s487175-create-dataset-script.py'
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}
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}
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stage('Build image') {
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steps {
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//Tworzenie obrazu
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sh 'docker build --no-cache -t ium -f dockerfile .'
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}
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}
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stage('Run scripts in container') {
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steps {
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script {
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// Uruchamia instancje obrazu ium i uruchomienie skryptu w kontenerze
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sh "docker run -e CUTOFF=${params.CUTOFF} ium python3 /app/s487175-create-dataset-script.py >> output.txt"
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}
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}
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}
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stage('Archive file') {
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steps {
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// Zapisanie zbioru danych i podziału danych na podzbiory jako artfefakty
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sh "docker cp \$(docker ps -l -q):/app/dane ${env.WORKSPACE}"
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archiveArtifacts artifacts: 'output.txt, dane/diamonds.csv', fingerprint: true
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}
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}
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}
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post {
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success {
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build job: 'z-s487175-training', wait: false
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}
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}
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} |