pipeline { agent any parameters { string( defaultValue: 'wojciechbatruszewicz', description: 'Kaggle username', name: 'KAGGLE_USERNAME', trim: false ) password( defaultValue: '', description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials', name: 'KAGGLE_KEY' ) string( defaultValue: '30', description: 'dataset cutoff', name: 'CUTOFF', trim: false ) } stages { stage('Download dataset') { steps { checkout scm dir ('./createDataset') { sh 'ls -l' withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) { sh 'kaggle datasets download -d elakiricoder/gender-classification-dataset' sh 'unzip -o gender_classification.zip' } } } } stage('Docker') { steps { script { def dockerImage = docker.build("docker-image", "./docker") dockerImage.inside { sh 'ls -l' dir ('./createDataset') { sh 'ls -l' sh 'python3 ./createDataset.py' archiveArtifacts 'gender_classification_train.csv' archiveArtifacts 'gender_classification_test.csv' archiveArtifacts 'gender_classification_val.csv' } sh 'ls -l' } } } } // stage('Archive file') { // steps { // dir ('./createDataset') { // archiveArtifacts artifacts: 'loan_sanction_shuffled.csv', fingerprint: true\ // } // } // } } // post { // success { // build job: 'z-s487179-training/main', wait: false // } // } }