pipeline {
  agent any
  
  parameters {
    string (
      defaultValue: 'vskyper',
      description: 'Kaggle username',
      name: 'KAGGLE_USERNAME',
      trim: false
    )
    password (
      defaultValue: '',
      description: 'Kaggle API key',
      name: 'KAGGLE_KEY',
    )
  }

  stages {
    stage('Clone Repository') {
      steps {
        git branch: 'main', url: 'https://git.wmi.amu.edu.pl/s464913/ium_464913.git'
      }
    }

    stage('Download dataset') {
      steps {
        withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
          sh 'pip install kaggle'
          sh 'kaggle datasets download -d mlg-ulb/creditcardfraud'
          sh 'unzip -o creditcardfraud.zip'
          sh 'rm creditcardfraud.zip'
        }
      }
    }

    stage('Run create-dataset script') {
      agent {
        dockerfile {
          reuseNode true
        }
      } 

      steps {
        sh 'chmod +x create-dataset.py'
        sh 'python3 ./create-dataset.py'
      }
    }

    stage('Archive Artifacts from create-dataset') {
      steps {
        archiveArtifacts artifacts: 'data/*', onlyIfSuccessful: true
      }
    }

    stage('Experiments') {
      agent {
        dockerfile {
          reuseNode true
        }
      } 
  
      steps {
        sh 'chmod +x sacred/sacred_train_evaluation.py'
        sh 'python3 sacred/sacred_train_evaluation.py'
      }
    }

    stage('Archive Artifacts from Experiments') {
      steps {
        archiveArtifacts artifacts: 'experiments/**/*.*', onlyIfSuccessful: true
      }
    }
  }
}