47 lines
1.3 KiB
Plaintext
47 lines
1.3 KiB
Plaintext
pipeline {
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agent {
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docker {
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image 'karolcyganik/ium:latest'
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}
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}
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parameters {
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string(
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defaultValue: 'karol9',
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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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string(
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defaultValue: '100',
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description: 'Dataset cutoff size',
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name: 'CUTOFF'
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)
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password(
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defaultValue: '',
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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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}
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stages {
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stage('Checkout') {
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steps {
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git branch: 'main', url: 'https://git.wmi.amu.edu.pl/s495715/iumKC.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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script {
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copyArtifacts fingerprintArtifacts: true, projectName: 'z-s495715-create-dataset', selector: specific('16')
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sh 'unzip football-semantic-segmentation.zip -d football_dataset'
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}
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}
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}
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stage('Execute Script') {
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steps {
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sh 'python3 main.py'
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}
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}
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}
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} |