IUM_06

Jenkinsfile

@@ -35,7 +35,7 @@ pipeline {
       }
     }
 
-    stage('Copy Artifacts from training job') {
+    stage('Copy Artifacts from evaluation job') {
       steps {
         copyArtifacts filter: 'evaluation/*', projectName: 's464913-evaluation/evaluation', selector: buildParameter('BUILD_SELECTOR'), optional: true
       }
@@ -51,7 +51,14 @@ pipeline {
     stage('Run metrics script') {
       steps {
         sh 'chmod +x metrics.py'
-        sh 'python3 ./metrics.py'
+        sh "python3 ./metrics.py ${currentBuild.number}"
+      }
+    }
+
+    stage('Run plot script') {
+      steps {
+        sh 'chmod +x plot.py'
+        sh 'python3 ./plot.py'
       }
     }
 

metrics.py

@@ -1,10 +1,12 @@
 from sklearn.metrics import confusion_matrix
 import pandas as pd
+import sys
 
 
 def main():
     y_test = pd.read_csv("data/y_test.csv")
     y_pred = pd.read_csv("evaluation/y_pred.csv", header=None)
+    build_number = sys.argv[1]
 
     cm = confusion_matrix(y_test, y_pred)
     print(
@@ -14,8 +16,7 @@ def main():
     accuracy = cm[1, 1] / (cm[1, 0] + cm[1, 1])
 
     with open(r"evaluation/metrics.txt", "a") as f:
-        f.write(f"Accuracy: {accuracy}\n")
-        f.write(f"\n")
+        f.write(f"{accuracy},{build_number}\n")
 
 
 if __name__ == "__main__":

plot.py

@@ -0,0 +1,16 @@
+import numpy as np
+
+
+def main():
+    accuracy = []
+
+    with open("evaluation/metrics.txt") as f:
+        for line in f:
+            if "Accuracy" in line:
+                accuracy.append(float(line.split(":")[1].strip()))
+
+    build_numbers = np.arange(1, len(accuracy) + 1)
+
+
+if __name__ == "__main__":
+    main()