50 lines
1.4 KiB
Groovy
50 lines
1.4 KiB
Groovy
pipeline {
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agent {
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dockerfile true
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}
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parameters {
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string(
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defaultValue: '',
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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: '50',
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description: 'number of truncated examples',
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name: 'CUTOFF'
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)
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}
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stages {
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stage('Git') {
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steps {
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git(
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url: "https://git.wmi.amu.edu.pl/s495719/ium_495719.git",
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branch: "main"
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)
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}
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}
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stage('build') {
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steps {
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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sh "kaggle datasets download muhammadbinimran/housing-price-prediction-data --unzip"
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sh 'chmod 777 ./data_processing.py'
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sh "python3 ./data_processing.py ${params.CUTOFF}"
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}
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}
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}
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stage('Artifacts') {
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steps {
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archiveArtifacts artifacts: 'hp_train.csv,hp_dev.csv,hp_test.csv'
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}
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}
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}
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} |