"""Tests for YOLOv8 unified detector."""

import numpy as np
import pytest

from vigilar.detection.person import Detection
from vigilar.detection.yolo import YOLODetector, ANIMAL_CLASSES, WILDLIFE_CLASSES


class TestYOLOConstants:
    def test_animal_classes(self):
        assert "cat" in ANIMAL_CLASSES
        assert "dog" in ANIMAL_CLASSES

    def test_wildlife_classes(self):
        assert "bear" in WILDLIFE_CLASSES
        assert "bird" in WILDLIFE_CLASSES

    def test_no_overlap_animal_wildlife(self):
        assert not ANIMAL_CLASSES.intersection(WILDLIFE_CLASSES)


class TestYOLODetector:
    def test_initializes_without_model(self):
        detector = YOLODetector(model_path="nonexistent.pt", confidence_threshold=0.5)
        assert not detector.is_loaded

    def test_detect_returns_empty_when_not_loaded(self):
        detector = YOLODetector(model_path="nonexistent.pt")
        frame = np.zeros((480, 640, 3), dtype=np.uint8)
        detections = detector.detect(frame)
        assert detections == []

    def test_classify_detection_person(self):
        d = Detection(class_name="person", class_id=0, confidence=0.9, bbox=(10, 20, 100, 200))
        assert YOLODetector.classify(d) == "person"

    def test_classify_detection_vehicle(self):
        d = Detection(class_name="car", class_id=2, confidence=0.85, bbox=(10, 20, 100, 200))
        assert YOLODetector.classify(d) == "vehicle"

    def test_classify_detection_domestic_animal(self):
        d = Detection(class_name="cat", class_id=15, confidence=0.9, bbox=(10, 20, 100, 200))
        assert YOLODetector.classify(d) == "domestic_animal"

    def test_classify_detection_wildlife(self):
        d = Detection(class_name="bear", class_id=21, confidence=0.8, bbox=(10, 20, 100, 200))
        assert YOLODetector.classify(d) == "wildlife"

    def test_classify_detection_other(self):
        d = Detection(class_name="chair", class_id=56, confidence=0.7, bbox=(10, 20, 100, 200))
        assert YOLODetector.classify(d) == "other"