37 lines
1.3 KiB
Groovy
37 lines
1.3 KiB
Groovy
pipeline {
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agent any
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parameters {
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string(name: 'CUTOFF', defaultValue: '10000', description: 'Liczba wierszy do obcięcia ze zbioru danych')
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string(name: 'KAGGLE_USERNAME', defaultValue: '', description: 'Kaggle username')
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password(name: 'KAGGLE_KEY', defaultValue: '', description: 'Kaggle API key')
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buildSelector(defaultSelector: lastSuccessful(), description: 'Which build to use for copying artifacts', name: 'BUILD_SELECTOR')
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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: 'training', url: "https://git.wmi.amu.edu.pl/s464979/ium_464979.git"
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}
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}
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stage('Copy Artifacts') {
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steps {
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copyArtifacts filter: 'beer_reviews.csv,beer_reviews_train.csv,beer_reviews_test.csv', projectName: 'z-s464979-create-datase', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage("Run") {
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agent {
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dockerfile {
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filename 'Dockerfile'
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reuseNode true
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}
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}
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steps {
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sh "chmod +x ./IUM_05-model.py"
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sh "python3 ./IUM_05-model.py"
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archiveArtifacts artifacts: 'beer_review_sentiment_model.h5', onlyIfSuccessful: true
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}
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}
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}
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}
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