IUM_06

IUM_06-metrics.py

@@ -0,0 +1,19 @@
+from sklearn.metrics import confusion_matrix
+import pandas as pd
+import sys
+
+
+def main():
+    y_test = pd.read_csv("beer_reviews_test.csv")
+    y_pred = pd.read_csv("beer_review_sentiment_predictions.csv", header=None)
+    build_number = sys.argv[1]
+
+    cm = confusion_matrix(y_test, y_pred)
+    accuracy = cm[1, 1] / (cm[1, 0] + cm[1, 1])
+
+    with open(r"beer_metrics.txt", "a") as f:
+        f.write(f"{accuracy},{build_number}\n")
+
+
+if __name__ == "__main__":
+    main()

IUM_06-plot.py

@@ -0,0 +1,24 @@
+import matplotlib.pyplot as plt
+
+
+def main():
+    accuracy = []
+    build_numbers = []
+
+    with open("beer_metrics.txt") as f:
+        for line in f:
+            accuracy.append(float(line.split(",")[0]))
+            build_numbers.append(int(line.split(",")[1]))
+
+    plt.plot(build_numbers, accuracy)
+    plt.xlabel("Build Number")
+    plt.ylabel("Accuracy")
+    plt.title("Accuracy of the model over time")
+    plt.xticks(range(min(build_numbers), max(build_numbers) + 1))
+    plt.show()
+
+    plt.savefig("acc.png")
+
+
+if __name__ == "__main__":
+    main()

Jenkinsfile

@@ -1,52 +1,62 @@
 pipeline {
-    agent any
-
-    parameters {
-        string(name: 'CUTOFF', defaultValue: '10000', description: 'Liczba wierszy do obcięcia ze zbioru danych')
-	    string(name: 'KAGGLE_USERNAME', defaultValue: '', description: 'Kaggle username')
-        password(name: 'KAGGLE_KEY', defaultValue: '', description: 'Kaggle API key')
+   agent {
+    dockerfile true
     }
 
+   triggers {
+     upstream(upstreamProjects: 's464979-training/training', threshold: hudson.model.Result.SUCCESS)
+   }
+
+   parameters {
+     buildSelector(defaultSelector: lastSuccessful(), description: 'Which build to use for copying artifacts', name: 'BUILD_SELECTOR')
+     gitParameter branchFilter: 'origin/(.*)', defaultValue: 'training', name: 'BRANCH', type: 'PT_BRANCH'
+   }
+
     stages {
         stage('Clone Repository') {
             steps {
-                git url: "https://git.wmi.amu.edu.pl/s464979/ium_464979"
+                git branch: 'evaluation', url: "https://git.wmi.amu.edu.pl/s464979/ium_464979"
             }
         }
-        stage('Download dataset') {
+        stage('Copy Dataset Artifacts') {
             steps {
-                 withEnv(["KAGGLE_USERNAME=${env.KAGGLE_USERNAME}", "KAGGLE_KEY=${env.KAGGLE_KEY}"]) {
-                    sh "kaggle datasets download -d thedevastator/1-5-million-beer-reviews-from-beer-advocate --unzip"
-                }
+                 copyArtifacts filter: 'beer_reviews.csv,beer_reviews_train.csv,beer_reviews_test.csv', projectName: 'z-s464979-create-dataset', selector: buildParameter('BUILD_SELECTOR')
             }
         }
-        stage('Process and Split Dataset') {
-            agent {
-                dockerfile {
-                    filename 'Dockerfile'
-                    reuseNode true
-                }
-            }
-            steps {
-                sh "chmod +x ./IUM_05-split.py"
-                sh "python3 ./IUM_05-split.py"
-                archiveArtifacts artifacts: 'beer_reviews.csv,beer_reviews_train.csv,beer_reviews_test.csv', onlyIfSuccessful: true
-            }
+        stage('Copy Training Artifacts') {
+          steps {
+            copyArtifacts filter: 'beer_review_sentiment_model.h5', projectName: 's464979-training/' + params.BRANCH, selector: buildParameter('BUILD_SELECTOR')
+          }
         }
-        stage("Run") {
-            agent {
-                dockerfile {
-                    filename 'Dockerfile'
-                    reuseNode true
-                }
-            }
+        stage('Copy Evaluation Artifacts') {
+          steps {
+            copyArtifacts filter: 'evaluation/*', projectName: 's464979-evaluation/evaluation', selector: buildParameter('BUILD_SELECTOR'), optional: true
+          }
+        }
+        stage("Run predictions") {
             steps {
-                sh "chmod +x ./IUM_05-model.py"
                 sh "chmod +x ./IUM_05-predict.py"
-                sh "python3 ./IUM_05-model.py"
                 sh "python3 ./IUM_05-predict.py"
-                archiveArtifacts artifacts: 'beer_review_sentiment_model.h5,beer_review_sentiment_predictions.csv', onlyIfSuccessful: true
+                archiveArtifacts artifacts: 'beer_review_sentiment_predictions.csv', onlyIfSuccessful: true
             }
         }
+        stage('Run metrics') {
+          steps {
+            sh 'chmod +x ./IUM_06-metrics.py'
+            sh "python3 ./IUM_06-metrics.py ${currentBuild.number}"
+          }
+        }
+
+        stage('Run plot') {
+          steps {
+            sh 'chmod +x ./IUM_06-plot.py'
+            sh 'python3 ./IUM_06-plot.py'
+          }
+        }
+         stage('Archive Artifacts') {
+          steps {
+            archiveArtifacts artifacts: '*', onlyIfSuccessful: true
+          }
+        }
     }
 }