Object Detection Microservice: Test and Documentation Update

This update includes the test and documentation files for the object detection microservice. Sample images for testing have been added, along with documented test procedures. Additionally, Docker files (Dockerfile, docker-compose.yaml, .dockerignore) have been updated, along with instructions for testing the microservice using different scenarios.

Author: enesagu

test_images/docker_image_test.py

@@ -0,0 +1,56 @@
+import requests
+
+# API endpoint URL
+api_endpoint = "http://localhost:8000/detect/"
+
+# Test images folder
+test_images_folder = "test_images/"
+
+# Dictionary to store test status
+test_status = {}
+
+# Function to send a POST request to the detection API and log the test status
+def test_object_detection(image_path, label=None, test_number=0):
+    # Prepare request payload
+    files = {"image": open(image_path, "rb")}
+    api_endpoint_with_label = f"{api_endpoint}?label={label}" if label else api_endpoint
+      
+    # Send POST request
+    response = requests.post(api_endpoint_with_label, files=files)
+    
+    # Check response status
+    if response.status_code == 200:
+        # Successful response
+        result = response.json()
+        print("Test Image:", image_path)
+        print("Detection Results:", result)
+        
+        # If no label specified
+        if label is None:
+            test_status[f"Test {test_number}"] = "Success"
+            print("Success!")
+        # If objects are detected with the specified label
+        elif result["count"] > 0 and result["objects"][0]["label"] == label:
+            test_status[f"Test {test_number}"] = "Success"
+            print("Success!")
+        else:
+            # If the test fails
+            test_status[f"Test {test_number}"] = "Failure"
+            print("Failure!!!")
+    else:
+        # If the API request fails
+        print("API request failed:", response.text)
+
+# Test scenario 1: Detect objects without specifying a label
+test_object_detection(test_images_folder + "test_image1_bus_people.jpg", label=None, test_number=1)
+    
+# Test scenario 2: Detect only "bird" objects
+test_object_detection(test_images_folder + "test_image2_bird.jpg", label="bird", test_number=2)
+
+# Test scenario 3: Detect only "dog" objects
+test_object_detection(test_images_folder + "test_image3_dog.jpg", label="dog", test_number=3)
+
+# Print test status
+print("Test Status:", test_status)
+
+