39 lines
1.4 KiB
Groovy
39 lines
1.4 KiB
Groovy
pipeline {
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agent any
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parameters {
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string(name: 'KAGGLE_USERNAME', defaultValue: 'alicjaszulecka', description: 'Kaggle username')
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password(name: 'KAGGLE_KEY', defaultValue:'', description: 'Kaggle Key')
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string(name: 'CUTOFF', defaultValue: '100', description: 'cut off number')
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}
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stages {
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stage('Git Checkout') {
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steps {
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checkout scm
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}
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}
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stage('Download dataset') {
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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 'pip install kaggle'
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sh 'kaggle datasets download -d nasa/meteorite-landings'
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sh 'unzip -o meteorite-landings.zip'
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sh 'rm meteorite-landings.zip'
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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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script {
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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def customImage = docker.build("custom-image")
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customImage.inside {
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sh 'python3 ./IUM_2.py'
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archiveArtifacts artifacts: 'meteorite-landings.csv, meteorite_train.csv, meteorite_test.csv, meteorite_val.csv', onlyIfSuccessful: true
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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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} |