test_api.py

import requests
import base64
import json

def test_gradio_api():
    """Test the Gradio /api/predict endpoint"""
    # You would replace this with actual base64 encoded image data
    sample_image_path = "test_image.jpg"  # Replace with your test image
    
    try:
        with open(sample_image_path, "rb") as image_file:
            image_base64 = base64.b64encode(image_file.read()).decode('utf-8')
    except FileNotFoundError:
        print("Please add a test_image.jpg file to test the API")
        return
    
    url = "http://localhost:7860/api/predict"
    
    payload = {
        "data": [
            image_base64,
            "mobilenet",
            0.5,
            0.4
        ]
    }
    
    response = requests.post(url, json=payload)
    
    if response.status_code == 200:
        result = response.json()
        print("Success!")
        print(f"API Response: {json.dumps(result, indent=2)}")
        
        # Extract the actual detection data
        if "data" in result and len(result["data"]) > 0:
            detection_data = result["data"][0]
            if "faces" in detection_data:
                print(f"Detected {len(detection_data['faces'])} faces")
                print(f"Processing time: {detection_data.get('processing_time', 'N/A'):.3f} seconds")
                print(f"Model used: {detection_data.get('model_used', 'N/A')}")
                
                for i, face in enumerate(detection_data['faces']):
                    print(f"Face {i+1}:")
                    print(f"  Confidence: {face['confidence']:.3f}")
                    print(f"  Bounding box: {face['bbox']}")
                    print(f"  Landmarks: {face['landmarks']}")
            else:
                print("No face detection data in response")
        else:
            print("Unexpected response format")
    else:
        print(f"Error: {response.status_code}")
        print(response.text)

def test_health_check():
    """Test the Gradio app health"""
    url = "http://localhost:7860/"
    
    response = requests.get(url)
    
    if response.status_code == 200:
        print("Gradio app is running!")
        print("You can access the web interface at: http://localhost:7860")
    else:
        print(f"Health check failed: {response.status_code}")

def test_direct_api_call():
    """Test direct API call format that Thunkable would use"""
    sample_image_path = "test_image.jpg"  # Replace with your test image
    
    try:
        with open(sample_image_path, "rb") as image_file:
            image_base64 = base64.b64encode(image_file.read()).decode('utf-8')
    except FileNotFoundError:
        print("Please add a test_image.jpg file to test the API")
        return
    
    url = "http://localhost:7860/api/predict"
    
    # This is the format Thunkable will use
    payload = {
        "data": [image_base64, "mobilenet", 0.5, 0.4]
    }
    
    headers = {
        "Content-Type": "application/json"
    }
    
    print("Testing Thunkable-compatible API call...")
    response = requests.post(url, json=payload, headers=headers)
    
    if response.status_code == 200:
        result = response.json()
        print("✅ Thunkable API call successful!")
        
        # Parse the response as Thunkable would
        if "data" in result and result["data"]:
            detection_result = result["data"][0]
            print(f"Faces detected: {detection_result.get('total_faces', 0)}")
            print(f"Model used: {detection_result.get('model_used', 'unknown')}")
            print(f"Processing time: {detection_result.get('processing_time', 0):.3f}s")
        else:
            print("❌ Unexpected response format")
    else:
        print(f"❌ API call failed: {response.status_code}")
        print(response.text)

if __name__ == "__main__":
    print("Testing RetinaFace Gradio API...")
    print("=" * 50)
    
    print("\n1. Health Check:")
    test_health_check()
    
    print("\n2. Gradio API Test:")
    test_gradio_api()
    
    print("\n3. Thunkable-Compatible API Test:")
    test_direct_api_call()
    
    print("\n" + "=" * 50)
    print("Testing complete!")
    print("\nFor Thunkable integration:")
    print("- Use URL: http://localhost:7860/api/predict")
    print("- Method: POST")
    print("- Body format: {\"data\": [\"base64_image\", \"mobilenet\", 0.5, 0.4]}")
    print("- Response will be in: response.data[0]")