IUM_06
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Jenkinsfile
vendored
43
Jenkinsfile
vendored
@ -1,54 +1,39 @@
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pipeline {
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agent any
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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: 'vskyper',
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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 API key',
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name: 'KAGGLE_KEY',
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts',
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name: 'BUILD_SELECTOR'
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)
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}
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stages {
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stage('Clone Repository') {
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steps {
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git branch: 'main', url: 'https://git.wmi.amu.edu.pl/s464913/ium_464913.git'
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git branch: 'training', url: 'https://git.wmi.amu.edu.pl/s464913/ium_464913.git'
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}
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}
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stage('Download dataset') {
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stage('Copy Artifacts') {
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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 mlg-ulb/creditcardfraud'
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sh 'unzip -o creditcardfraud.zip'
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sh 'rm creditcardfraud.zip'
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}
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copyArtifacts filter: 'data/*', projectName: 'z-s464913-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage('Run create-dataset script') {
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agent {
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dockerfile {
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reuseNode true
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}
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}
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stage('Run train_model script') {
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steps {
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sh 'chmod +x create-dataset.py'
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sh 'python3 ./create-dataset.py'
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sh 'chmod +x train_model.py'
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sh 'python3 ./train_model.py'
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}
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}
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stage('Archive Artifacts') {
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steps {
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archiveArtifacts artifacts: 'data/*', onlyIfSuccessful: true
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archiveArtifacts artifacts: 'model/*', onlyIfSuccessful: true
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}
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}
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}
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