# coding=utf-8
import os
import time
import logging

logger = logging.getLogger(__name__)

def clean_station_name(name):
    """
    清理场站名称，去除特殊字符和距离信息
    """
    if not name:
        return ""
    # 驿来特可能特有的清理逻辑
    import re
    # 移除常见的括号备注
    name = re.sub(r'\(.*?\)', '', name)
    name = re.sub(r'（.*?）', '', name)
    return name.strip()

def take_screenshot(d, filename, save_dir=None):
    """
    获取屏幕截图并保存
    """
    if not save_dir:
        from Config.Config import TEMP_IMAGE_DIR
        save_dir = TEMP_IMAGE_DIR
        
    if not os.path.exists(save_dir):
        os.makedirs(save_dir)
        
    # 确保文件名有后缀
    if not filename.endswith(".jpg") and not filename.endswith(".png"):
        filename = f"{filename}.jpg"
        
    full_path = os.path.join(save_dir, filename)
    d.screenshot(full_path)
    return full_path

import hashlib
import numpy as np
import cv2

def get_file_md5(file_path):
    """计算文件的 MD5 值"""
    if not os.path.exists(file_path):
        return None
    hash_md5 = hashlib.md5()
    with open(file_path, "rb") as f:
        for chunk in iter(lambda: f.read(4096), b""):
            hash_md5.update(chunk)
    return hash_md5.hexdigest()

def get_image_content_md5(file_path, top_ratio=0.1, bottom_ratio=0.1):
    """
    计算图片核心内容的 MD5 值（排除状态栏和导航栏）
    """
    img = read_image(file_path)
    if img is None:
        return None

    h, w = img.shape[:2]
    top = int(h * top_ratio)
    bottom = int(h * (1 - bottom_ratio))

    # 裁剪中间部分
    content = img[top:bottom, :]

    # 将图片数据转换为字节流计算 MD5
    success, encoded_img = cv2.imencode(".jpg", content)
    if success:
        return hashlib.md5(encoded_img.tobytes()).hexdigest()
    return hashlib.md5(content.tobytes()).hexdigest()

def read_image(path):
    """读取图片，支持中文路径"""
    if not path or not os.path.exists(path):
        return None
    try:
        data = np.fromfile(path, dtype=np.uint8)
        if data.size == 0:
            return None
        img = cv2.imdecode(data, -1)
        return img
    except Exception as e:
        logger.error(f"Error reading image {path}: {e}")
        return None

def save_image(path, img):
    """保存图片，支持中文路径"""
    try:
        ext = os.path.splitext(path)[1]
        if not ext:
            ext = ".jpg"
        cv2.imencode(ext, img)[1].tofile(path)
        return True
    except Exception as e:
        logger.error(f"Error saving image {path}: {e}")
        return False

def clear_temp_dir(save_dir=None):
    """清空临时目录中的所有文件"""
    if save_dir is None:
        from Config.Config import TEMP_IMAGE_DIR
        save_dir = TEMP_IMAGE_DIR
        
    if not os.path.exists(save_dir):
        return
        
    for f in os.listdir(save_dir):
        file_path = os.path.join(save_dir, f)
        try:
            if os.path.isfile(file_path):
                os.remove(file_path)
        except Exception as e:
            logger.error(f"Error deleting file {file_path}: {e}")

def get_image_md5(image_path):
    """
    计算图片的 MD5 值
    """
    import hashlib
    if not os.path.exists(image_path):
        return ""
    with open(image_path, 'rb') as f:
        data = f.read()
        return hashlib.md5(data).hexdigest()

def draw_rectangles(image_path, points, output_path=None):
    """
    使用 OpenCV 在图片上绘制矩形框 (计算机图形学绘制)
    :param image_path: 原始图片路径
    :param points: 坐标点列表，格式如 [[x1, y1, x2, y2], ...] 或 [(x, y), ...]
    :param output_path: 输出图片路径，如果不指定则覆盖原图
    """
    try:
        import cv2
        import numpy as np
        from Apps.YeLiTe.Config.Setting import DRAW_DEBUG_BOXES, DEBUG_BOX_COLOR, DEBUG_BOX_THICKNESS
        
        if not DRAW_DEBUG_BOXES:
            return image_path
            
        img = cv2.imread(image_path)
        if img is None:
            return image_path
            
        for p in points:
            if len(p) == 4: # 矩形 [x1, y1, x2, y2]
                cv2.rectangle(img, (int(p[0]), int(p[1])), (int(p[2]), int(p[3])), DEBUG_BOX_COLOR, DEBUG_BOX_THICKNESS)
            elif len(p) == 2: # 点 (x, y)，画一个小圆圈或正方形表示点击位
                center = (int(p[0]), int(p[1]))
                cv2.circle(img, center, 10, DEBUG_BOX_COLOR, -1)
                
        save_path = output_path if output_path else image_path
        cv2.imwrite(save_path, img)
        return save_path
    except Exception as e:
        logger.error(f"绘制矩形框失败: {e}")
        return image_path