82 lines
2.9 KiB
Plaintext
82 lines
2.9 KiB
Plaintext
pipeline {
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agent any
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parameters {
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string(
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defaultValue: 'jakubbg',
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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: 'e42b293c818e4ecd7b9365ee037af428',
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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: '100',
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description: 'CUTOFF parameter',
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name: 'CUTOFF',
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trim: false
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)
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}
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stages {
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stage('Build image'){
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steps {
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script {
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checkout scm
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// First argument is the tag assigned to the built image
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// If you want to use a Dockerfile from a different path than ./Dockerfile, you can specify it as the second argument
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def testImage = docker.build("test-image", ".")
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}
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}
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}
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stage('Run in container'){
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steps {
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script {
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docker.image('test-image').inside {
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stage('Checkout') {
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steps {
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// Step: Clone the git repository
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checkout scm
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}
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}
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stage('Build') {
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steps {
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// Run the maven build
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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: $KAGGLE_USERNAME'
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sh 'kaggle datasets list'
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}
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}
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}
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stage('Execute Shell Script') {
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steps {
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withEnv(["CUTOFF=${params.CUTOFF}" ]) {
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// Step: Invoke the shell script
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script {
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sh 'chmod +x data_processing_script.sh' // Grant permissions to execute the script
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sh './data_processing_script.sh $CUTOFF' // Execute the script
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}
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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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// Step: Archive artifacts
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archiveArtifacts artifacts: 'processed_data.csv', fingerprint: 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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}
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}
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