pipeline {
    agent {
	    dockerfile {
	        filename 'lab4.dockerfile'
	        reuseNode true
	    }
    }


    parameters{
            string(
                 defaultValue: 'mattkrawl',
                 description: 'Kaggle username',
                 name: 'KAGGLE_USERNAME',
                 trim: false
             )
             password(
                 defaultValue: 'c21878a7463faa44361330ffbcea68a6',
                 description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
                 name: 'KAGGLE_KEY'
             )
             string(
                 defaultValue: '1000',
                 description: 'CUTOFF',
                 name: 'CUTOFF',
                 trim: false
             )
        }
    stages {
        stage('Checkout') {
            steps {
                checkout scmGit(
                    branches: [[name: '*/master']],
                    extensions: [cleanBeforeChceckout()],
                    userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s458023/ium_458023.git']]
                )
            }
        }

        stage('Prepare data'){
            steps{
                //running Build
                withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
                         "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
                            // downloading and unzipping kaggle dataset
                            sh 'echo "{\"username\":\"$KAGGLE_USERNAME\",\"key\":\"$KAGGLE_KEY\"}" > /.kaggle/kaggle.json'
                            sh './get-data.sh'
                            sh 'python3 prepare_dataset.py'

                         }
            }
        }
        stage('Archive artifacts'){
            steps{
                withEnv(["CUTOFF=${params.CUTOFF}"]){
                    archiveArtifacts 'wines_test.csv'
                    archiveArtifacts 'wines_dev.csv'
                    archiveArtifacts 'wines_train.csv'
		        }
            }
        }
    }
}