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: 'z-s464903-create-dataset', threshold: hudson.model.Result.SUCCESS)
    }

    stages {
        stage('Build image') {
            steps {
                script {
                    checkout scm
                    def testImage = docker.build("image", "./dockerfiles/")
                }
            }
        }

        stage('Run in container - Checkout') {
            steps {
                script {
                    docker.image('image').inside {
                        // Step: Clone the git repository
                        checkout scm
                    }
                }
            }
        }

        stage('Run in container - Build') {
            steps {
                script {
                    docker.image('image').inside {
                        // Step: Build
                        withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                                "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
                            sh 'echo KAGGLE_USERNAME: $KAGGLE_USERNAME'
                        }
                    }
                }
            }
        }

        stage('Run in container - Run ipynb script') {
            steps {
                script {
                    docker.image('image').inside {
                        docker.cp('Biblioteka_DL_trenowanie.ipynb', '/Biblioteka_DL_trenowanie.ipynb')
                    }
                }
            }
        }

        stage('Run in container - Archive Artifacts') {
            steps {
                script {
                    docker.image('image').inside {
                        // Step: Archive Artifacts
                        archiveArtifacts artifacts: 'model.keras', fingerprint: true

                    }
                }
            }
        }
    }
}