From 61f09125b4aff6cb6e1d842d3492de2cc8c8c995 Mon Sep 17 00:00:00 2001
From: "maxence.antoine.etu" <maxence.antoine.etu@univ-lille.fr>
Date: Thu, 24 Oct 2024 20:41:25 +0200
Subject: [PATCH] ajout des tests pour ClassificationModel
---
.../model/ClassificationModelTest.java | 66 +++++++++++++++++--
1 file changed, 61 insertions(+), 5 deletions(-)
diff --git a/src/test/java/fr/univlille/sae/classification/model/ClassificationModelTest.java b/src/test/java/fr/univlille/sae/classification/model/ClassificationModelTest.java
index e8ed459..2b82654 100644
--- a/src/test/java/fr/univlille/sae/classification/model/ClassificationModelTest.java
+++ b/src/test/java/fr/univlille/sae/classification/model/ClassificationModelTest.java
@@ -1,24 +1,80 @@
package fr.univlille.sae.classification.model;
+import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
+import java.io.File;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.List;
+
import static org.junit.jupiter.api.Assertions.*;
class ClassificationModelTest {
+ private ClassificationModel model;
+
+ @BeforeEach
+ void setUp() {
+ model = ClassificationModel.getClassificationModel();
+ }
+
+ @Test
+ void testSingletonInstance() {
+ ClassificationModel anotherModel = ClassificationModel.getClassificationModel();
+ assertSame(model, anotherModel);
+ }
+
@Test
- void getClassificationModel() {
+ void testAjouterDonnee() {
+ double[] coords = {5.1, 3.5, 1.4, 0.2};
+ model.ajouterDonnee(coords);
+
+ List<LoadableData> dataToClass = model.getDataToClass();
+ assertEquals(1, dataToClass.size());
+ assertNotNull(dataToClass.get(0).getClassification());
}
@Test
- void getDatas() {
+ void testAjouterDonneeInsuffisante() {
+ Exception exception = assertThrows(IllegalArgumentException.class, () -> {
+ model.ajouterDonnee(5.1);
+ });
+ assertEquals(null, exception.getMessage());
}
@Test
- void getDataToClass() {
+ void testLoadData() throws IOException {
+ File csvTemp = File.createTempFile("test", ".csv");
+ String csvTest = "sepal_length,sepal_width,petal_length,petal_width,class\n" +
+ "5.1,3.5,1.4,0.2,Iris-setosa\n" +
+ "4.9,3.0,1.4,0.2,Iris-setosa\n";
+ Files.write(Paths.get(csvTemp.getAbsolutePath()), csvTest.getBytes());
+
+ model.loadData(csvTemp);
+
+ List<LoadableData> datas = model.getDatas();
+ assertEquals(2, datas.size());
+
+ csvTemp.delete();
+ }
+
+ @Test
+ void testClassifierDonnees() {
+ double[] coords1 = {5.1, 3.5, 1.4, 0.2};
+ double[] coords2 = {4.9, 3.0, 1.4, 0.2};
+ model.ajouterDonnee(coords1);
+ model.ajouterDonnee(coords2);
+
+ model.classifierDonnees();
+
+ assertEquals(0, model.getDataToClass().size());
}
@Test
- void getType() {
+ void testSetType() {
+ model.setType(DataType.IRIS);
+ assertEquals(DataType.IRIS, model.getType());
}
-}
\ No newline at end of file
+}
--
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