# Standard library imports
import logging
from typing import Dict, Optional

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Third-party imports
import cv2
import numpy as np

class BaseLineDetector:
    """Base class for line detection methods"""
    def detect(self, image: np.ndarray) -> Dict:
        raise NotImplementedError

class OpenCVLineDetector(BaseLineDetector):
    """Basic line detection using OpenCV"""
    def detect(self, image: np.ndarray) -> Dict:
        # Convert to grayscale if needed
        if len(image.shape) == 3:
            gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        else:
            gray = image
            
        # Basic line detection using HoughLinesP
        edges = cv2.Canny(gray, 50, 150, apertureSize=3)
        lines = cv2.HoughLinesP(edges, 1, np.pi/180, 100, minLineLength=100, maxLineGap=10)
        
        detections = []
        if lines is not None:
            for line in lines:
                x1, y1, x2, y2 = line[0]
                detections.append({
                    'start': [float(x1), float(y1)],
                    'end': [float(x2), float(y2)]
                })
                
        return {'detections': detections}

# Try to import DeepLSD in a separate try-except block
DEEPLSD_AVAILABLE = False
DeepLSDDetector = None

try:
    from deeplsd.models.deeplsd_inference import DeepLSD
    
    class DeepLSDDetector(BaseLineDetector):
        def __init__(self, model_path: Optional[str] = None):
            self.model = DeepLSD(model_path) if model_path else None
            
        def detect(self, image: np.ndarray) -> Dict:
            return {'detections': []}  # Placeholder implementation
            
    DEEPLSD_AVAILABLE = True
    
except ImportError as e:
    logger.warning(f"DeepLSD not available: {e}")