import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))

import urllib.request
import numpy as np
import cv2
from detector import PotholeDetector

def test_singleton():
    """Assert singleton prevents memory bloat by persisting strict memory addresses"""
    det1 = PotholeDetector.get_instance("yolov8n.pt")
    det2 = PotholeDetector.get_instance("yolov8n.pt")
    assert det1 is det2, "Singleton instantiation routing failed structurally."
    print("test_singleton passed.")

def test_inference_shape_and_bgr():
    """Assert dictionary structures natively mapping BGR and asserting BGR performs distinct from RGB natively."""
    det = PotholeDetector.get_instance("yolov8n.pt")
    
    url = "https://ultralytics.com/images/zidane.jpg"
    req = urllib.request.urlopen(url)
    arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
    img_bgr = cv2.imdecode(arr, -1)  # BGR natively read
    
    img_rgb = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB)
    
    # Process dynamically natively evaluating constraints natively
    results_bgr = det.predict(img_bgr, conf_thresh=0.25)
    results_rgb = det.predict(img_rgb, conf_thresh=0.25)
    
    assert isinstance(results_bgr, list), "Output casting payload failed structurally natively."
    if len(results_bgr) > 0:
        keys = list(results_bgr[0].keys())
        assert 'xyxy' in keys and 'confidence' in keys and 'class_id' in keys, "Dictionary boundary keys mismatch."
    
    conf_bgr = results_bgr[0]['confidence'] if results_bgr else 0.0
    conf_rgb = results_rgb[0]['confidence'] if results_rgb else 0.0
    
    # Assuming BGR provides exact precision vs RGB variant physically evaluating bounds natively
    assert conf_bgr != conf_rgb, "Color space translation did not structurally impact physical YOLO tensor bindings (BGR vs RGB)."
    print("test_inference_shape_and_bgr passed.")

if __name__ == "__main__":
    test_singleton()
    test_inference_shape_and_bgr()
    print("ALL DETECTOR TESTS PASSED")