ajout des tests pour ClassificationModel

src/test/java/fr/univlille/sae/classification/model/ClassificationModelTest.java

 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 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 getClassificationModel() {
+    void testAjouterDonneeInsuffisante() {
+        Exception exception = assertThrows(IllegalArgumentException.class, () -> {
+            model.ajouterDonnee(5.1);
+        });
+        assertEquals(null, exception.getMessage());
     }
 
     @Test
-    void getDatas() {
+    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 getDataToClass() {
+    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());
     }
 }