work on lab6

evaluate.py

@@ -0,0 +1,36 @@
+import tensorflow as tf
+from keras.models import load_model
+from matplotlib import pyplot as plt
+from matplotlib.ticker import MaxNLocator
+
+# Załadowanie modelu z pliku
+model = keras.models.load_model('lego_reg_model')
+
+# Załadowanie zbioru testowego
+test_piece_counts = np.array(data_test['piece_count'])
+test_prices = np.array(data_test['list_price'])
+
+# Prosta ewaluacja (mean absolute error)
+test_results = model.evaluate(
+    test_piece_counts,
+    test_prices, verbose=0)
+
+# Zapis wartości liczbowej metryki do pliku
+with open('eval_results.txt', 'a+') as f:
+    f.write(test_results)
+
+# Wygenerowanie i zapisanie do pliku wykresu
+with open('eval_results.txt') as f:
+    scores = []
+    for line in f:
+        scores.append(float(line))
+    builds = list(range(1, len(scores) + 1))
+
+    plot = plt.plot(builds, scores)
+    plt.xlabel('Build number')
+    plt.xticks(range(1, len(scores) + 1))
+    plt.ylabel('Mean absolute error')
+    plt.title('Model error by build')
+    plt.savefig('error_plot.jpg')
+    plt.show()
+    

lab6/Jenkinsfile_eval

@@ -2,44 +2,43 @@ pipeline {
     agent {
         dockerfile true
         }
-    parameters {
-        string(
-			defaultValue: '100',
-			description: 'Example training parameter',
-			name: 'EPOCHS_NUM'
-		)
-    }
     stages {
         stage('Stage 1') {
             steps {
-				    sh 'chmod u+x ./simple_regression.py'
-					echo 'Copying datasets from create-dataset...'
-					copyArtifacts filter: '*', projectName: 's449288-create-dataset'
-					echo 'Datasets copied'
-					echo 'Conducting simple regression model test'
-					sh 'python3 simple_regression.py $EPOCHS_NUM'
-					echo 'Model and predictions saved'
-                    sh 'head lego_reg_results.csv'
-					sh 'ls -lh lego_reg_model'
-                    echo 'Archiving model...'
-                    sh 'tar -czf lego_reg_model.tar.gz lego_reg_model/'
-                    archiveArtifacts 'lego_reg_model.tar.gz'
-                    echo 'Model archived'
+				    sh 'chmod u+x ./evaluate.py'
+					echo 'Copying datasets from the create-dataset job...'
+					copyArtifacts filter: 'lego_sets_clean_test.csv', projectName: 's449288-create-dataset'
+					echo 'Datasets copied'					
+					echo 'Copying model from the training job...'
+					copyArtifacts filter: 'lego_reg_model.tar.gz', projectName: 's449288-training'					
+					echo 'Model copied'
+					sh 'tar xvzf lego_reg_model.tar.gz'				
+					echo 'Optional copying of the metrics file from previous build...'
+					copyArtifacts filter: 'eval_results.txt', projectName: 's449288-evaluation', optional: 'True'
+					echo 'Metrics file copied if it didn't exist'
+					echo 'Evaluating model...'
+					sh 'python3 evaluate.py'
+					echo 'Model evaluated. Metrics saved. Plot saved.'
+                    sh 'head eval_results.txt'	
+					sh 'file error_plot.jpg'
+                    echo 'Archiving metrics file...'
+                    archiveArtifacts 'eval_results.txt'
+                    echo 'File archived'
 				}
             }
         }
-    post {
+	post {
         success {
-            emailext body: 'SUCCESS', subject: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
+            emailext body: 'SUCCESS', subject: 's449288-evaluation build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
         }
         failure {
-            emailext body: 'FAILURE', subject: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
+            emailext body: 'FAILURE', subject: 's449288-evaluation build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
         }
         unstable {
-            emailext body: 'UNSTABLE', subject: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
+            emailext body: 'UNSTABLE', subject: 's449288-evaluation build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
         }
         changed {
-            emailext body: 'CHANGED', subject: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
+            emailext body: 'CHANGED', subject: 's449288-evaluation build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
         }		
     }
 }

lab6/Jenkinsfile_train

@@ -25,6 +25,8 @@ pipeline {
                     sh 'tar -czf lego_reg_model.tar.gz lego_reg_model/'
                     archiveArtifacts 'lego_reg_model.tar.gz'
                     echo 'Model archived'
+					echo 'Launching the s449288-evaluation job...'
+					build job: 's449288-evaluation/master/'
 				}
             }
         }