ium_464903/Jenkinsfile

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pipeline {
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agent any
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parameters {
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string(
defaultValue: 'jakubbg',
description: 'Kaggle username',
name: 'KAGGLE_USERNAME',
trim: false
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)
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password(
defaultValue: 'e42b293c818e4ecd7b9365ee037af428',
description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
name: 'KAGGLE_KEY'
)
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string(
defaultValue: '100',
description: 'CUTOFF parameter',
name: 'CUTOFF',
trim: false
)
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}
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stages {
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stage('Build') {
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steps {
// Run the maven build
withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
sh 'echo KAGGLE_USERNAME: $KAGGLE_USERNAME'
sh 'kaggle datasets list'
}
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}
}
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stage('Checkout') {
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steps {
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// Krok: Sklonowanie repozytorium git
checkout scm
}
}
stage('Execute Shell Script') {
steps {
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withEnv(["CUTOFF=${params.CUTOFF}" ]) {
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// Krok: Wywołanie skryptu shella
script {
sh 'chmod +x data_processing_script.sh' // Nadaj uprawnienia do wykonania skryptu
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sh './data_processing_script.sh $CUTOFF' // Wykonaj skrypt
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}
}
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}
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}
stage('Archive Artifacts') {
steps {
// Krok: Zarchiwizowanie artefaktów
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archiveArtifacts artifacts: 'processed_data.csv', fingerprint: true
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}
}
}
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post {
always {
build job: 's464903-training', wait: false
}
}
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}