prepare jenkinsfile

Dockerfile

@@ -14,4 +14,4 @@ RUN pip3 install --no-cache-dir Pillow==10.2.0
 
 EXPOSE 80
 
-CMD ["python", "your_script_name.py"]
+CMD ["python", "main.py"]

JenkinsDatastats

@@ -0,0 +1,56 @@
+pipeline {
+    agent any
+
+    parameters {
+        string(
+            defaultValue: 'karol9',
+            description: 'Kaggle username',
+            name: 'KAGGLE_USERNAME',
+            trim: false
+        )
+        string(
+            defaultValue: '100',
+            description: 'Dataset cutoff size',
+            name: 'CUTOFF'
+        )
+        password(
+            defaultValue: '',
+            description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
+            name: 'KAGGLE_KEY'
+        )
+    }
+
+    stages {
+        stage('Download Dataset') {
+            steps {
+                script {
+                    def datasetDir = 'football-semantic-segmentation'
+                    if (!fileExists(datasetDir)) {
+                        sh "mkdir ${datasetDir}"
+                    }
+                    
+                    withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
+                             "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
+                        sh "kaggle datasets download sadhliroomyprime/football-semantic-segmentation -p ${datasetDir}"
+                    }
+                }
+            }
+            post {
+                success {
+                    archiveArtifacts artifacts: 'football-semantic-segmentation/**', onlyIfSuccessful: true
+                }
+            }
+        }
+        stage('Checkout') {
+            steps {
+                git branch: 'main', url: 'https://git.wmi.amu.edu.pl/s495715/iumKC.git'
+            }
+        }
+        stage('Stats in docker') {
+            steps {
+                git branch: 'main', url: 'https://git.wmi.amu.edu.pl/s495715/iumKC.git'
+            }
+        }
+    }
+}
+