69 lines
2.1 KiB
Plaintext
69 lines
2.1 KiB
Plaintext
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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: 'wojciechbatruszewicz',
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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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string(
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defaultValue: '30',
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description: 'dataset cutoff',
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name: 'CUTOFF',
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trim: false
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)
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}
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stages {
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stage('Download dataset') {
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steps {
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checkout scm
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dir ('./createDataset') {
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sh 'ls -l'
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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sh 'kaggle datasets download -d elakiricoder/gender-classification-dataset'
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sh 'unzip -o gender_classification.zip'
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}
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}
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}
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}
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stage('Docker') {
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steps {
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script {
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def dockerImage = docker.build("docker-image", "./docker")
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dockerImage.inside {
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sh 'ls -l'
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dir ('./createDataset') {
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sh 'ls -l'
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sh 'python3 ./createDataset.py'
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archiveArtifacts 'gender_classification_train.csv'
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archiveArtifacts 'gender_classification_test.csv'
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archiveArtifacts 'gender_classification_val.csv'
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}
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sh 'ls -l'
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}
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}
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}
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}
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// stage('Archive file') {
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// steps {
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// dir ('./createDataset') {
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// archiveArtifacts artifacts: 'loan_sanction_shuffled.csv', fingerprint: true\
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// }
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// }
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// }
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}
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// post {
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// success {
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// build job: 'z-s487179-training/main', wait: false
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// }
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// }
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}
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