pipeline { agent any parameters { string( defaultValue: 'jakubbg', description: 'Kaggle username', name: 'KAGGLE_USERNAME', trim: false ) password( defaultValue: 'e42b293c818e4ecd7b9365ee037af428', description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials', name: 'KAGGLE_KEY' ) } triggers { upstream(upstreamProjects: 'z-s464903-create-dataset', threshold: hudson.model.Result.SUCCESS) } stages { stage('Build image') { steps { script { checkout scm def testImage = docker.build("test-image", "-f Dockerfile2 .") } } } stage('Run in container') { steps { script { docker.image('test-image').inside { stage('Checkout') { steps { // Step: Clone the git repository checkout scm } } stage('Build') { steps { withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) { sh 'echo KAGGLE_USERNAME: $KAGGLE_USERNAME' sh 'kaggle datasets list' } } } stage('Run ipynb script') { steps { sh "mkdir /notebooks" sh "cp Biblioteka_DL_trenowanie.ipynb /notebooks/Biblioteka_DL_trenowanie.ipynb" archiveArtifacts 'model.keras' } } } } } } } }