2022-03-21 10:26:02 +01:00
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pipeline {
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agent any
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parameters {
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string(
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defaultValue: 'marcinkostrzewski',
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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 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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2022-03-21 10:26:02 +01:00
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stages {
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2022-03-21 10:46:50 +01:00
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stage('Install dependencies') {
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steps {
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sh "pip install --user -r requirements.txt"
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}
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}
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stage('Fetch and split dataset') {
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steps {
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2022-03-27 23:19:42 +02:00
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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sh "chmod u+x ./download_dataset.sh"
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sh "./download_dataset.sh"
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2022-03-21 10:46:50 +01:00
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}
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2022-03-21 10:26:02 +01:00
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}
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}
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2022-05-05 21:29:59 +02:00
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stage('Archive dataset and run training') {
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steps {
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archiveArtifacts artifacts: 'data/*', onlyIfSuccessful: true
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build job: 's444409-training/main/'
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}
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2022-03-27 23:25:26 +02:00
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}
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}
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2022-03-21 10:46:50 +01:00
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}
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