updated dockerfile

JenkinsfileDatasetStats

@@ -1,10 +1,6 @@
 pipeline {
-    agent{ 
-    dockerfile {
-                    filename: 'lab4.dockerfile',
-                    reuseNode: true,
-                }
-    }
+   agent any
+
    parameters{
       buildSelector(
          defaultSelector: lastSuccessful(),
@@ -17,30 +13,29 @@ pipeline{
          steps {
             checkout scmGit(
                branches: [[name: '*/master']],
-                userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s458023/ium_458023.git']]
+               userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s487183/ium_458023.git']]
             )
          }
       }
-        stage('Prepare image and stats') {
+      stage('Prepare stats') {
+         agent { 
+            // docker {
+            //    image 's458023/ium:1'
+            //    reuseNode true
+            // }
+            dockerfile {
+               filename 'lab4.dockerfile'
+               reuseNode true
+            }
+         }
          steps {
-                script {
-                    copyArtifacts filter: 'wines_test.csv,wines_dev.csv,wines_train.csv', fingerprintArtifacts: true, projectName: 'z-s458023-create-dataset', selector: workspace()
-                    // pobranie obrazu dockera
-                    docker.image('s458023/ium:1').pull()
-
-                    // testowanie kodu
-                    docker.withRegistry('https://registry.hub.docker.com', 'credentials-id') {
-                        // Zbuduj kontener Dockerowy
-                        docker.image('s458023/ium').inside {
-                            // Wykonaj kolejne polecenia w kontenerze
-                            sh 'ls -la'
-                            sh 'echo "done"'
-                            // itd.
-                        }
-                    }
-                }
-                sh './wines_train.py
-                sh 'predict.py'
+            copyArtifacts projectName: 'z-s458023-create-dataset'
+            sh 'bash /prepare_dataset.sh'
+            sh 'mkdir sacred-files'
+            sh 'python3 wines_train.py'
+            sh 'python3 predict.py'
             archiveArtifacts 'my_runs/**'
          }
       }
+   }
+}