51 lines
1.6 KiB
Groovy
51 lines
1.6 KiB
Groovy
pipeline {
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agent any
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//Definijuemy parametry, które będzie można podać podczas wywoływania zadania
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parameters {
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string (
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defaultValue: 'Hello World!',
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description: 'Tekst, którym chcesz przywitać świat',
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name: 'INPUT_TEXT',
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trim: false
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)
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string(
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defaultValue: 'wleczny',
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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: '2e89e20ceb0a48d9df01a01bad744776',
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description: 'Kaggle token',
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name: 'KAGGLE_KEY'
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)
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}
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stages {
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stage('Checkout') {
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steps {
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sh 'git clone https://git.wmi.amu.edu.pl/s487183/ium_z487183.git'
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}
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}
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stage('Prepare data') {
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steps {
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
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sh 'kaggle datasets download amalab182/property-salesmelbourne-city'
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sh 'mkdir -p ium_z487183/data'
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sh 'unzip -o property-salesmelbourne-city.zip -d ium_z487183/data'
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sh 'rm property-salesmelbourne-city.zip'
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}
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}
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}
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stage('Archive artifacts') {
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steps {
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sh 'python3 ium_z487183/prepare-dataset.py'
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archiveArtifacts 'X_test.csv'
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archiveArtifacts 'X_val.csv'
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archiveArtifacts 'X_train.csv'
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archiveArtifacts 'Y_test.csv'
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archiveArtifacts 'Y_val.csv'
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archiveArtifacts 'Y_train.csv'
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}
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}
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}
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} |