ium_464903/Jenkinsfile4

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: '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"
                                docker.cp('Biblioteka_DL_trenowanie.ipynb', '/notebooks/Biblioteka_DL_trenowanie.ipynb')
                            }
                        }

                        stage('Archive Artifacts - model') {
                            steps {
                                // Step: Archive artifacts
                                archiveArtifacts artifacts: 'mode.keras', fingerprint: true
                            }
                        }
                    }
                }
            }
        }
}

}