ium_444452/Jenkins/Jenkinsfile.stats
AdamOsiowy123 18e26fed6b
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mlflow
2022-05-15 22:20:18 +02:00

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node {
docker.image('s444452/ium:1.4').inside {
stage('Preparation') {
properties([parameters([
buildSelector(
defaultSelector: lastSuccessful(),
description: 'Which build to use for copying artifacts',
name: 'BUILD_SELECTOR')
])])
}
stage('Clone repository') {
checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[credentialsId: '5e0a58a0-03ad-41dd-beff-7b8a07c7fe0c', url: 'https://git.wmi.amu.edu.pl/s444452/ium_444452.git']]])
}
stage('Copy artifacts') {
copyArtifacts filter: 'dataset.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset', selector: buildParameter('BUILD_SELECTOR')
copyArtifacts filter: 'train_data.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset', selector: buildParameter('BUILD_SELECTOR')
copyArtifacts filter: 'test_data.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset', selector: buildParameter('BUILD_SELECTOR')
copyArtifacts filter: 'dev_data.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset', selector: buildParameter('BUILD_SELECTOR')
}
stage('Run script') {
withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
"KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
sh "python3 Scripts/generate_dataset_stats.py '.'"
}
}
stage('Archive artifacts') {
archiveArtifacts "train_stats.txt, test_stats.txt, dev_stats.txt"
}
}
}