import os
import cv2
from rapidocr import RapidOCR
from logger_config import logger


class OCRViolationDetector:
    """
    封装RapidOCR引擎，用于检测图像帧中的违禁词。
    """

    def __init__(self, forbidden_words_path: str, ocr_confidence_threshold: float = 0.5):  # 降低阈值提高检出率
        """
        初始化OCR引擎和违禁词列表。

        Args:
            forbidden_words_path (str): 违禁词列表 .txt 文件的路径。
            ocr_confidence_threshold (float): OCR识别结果的置信度阈值。
        """
        self.forbidden_words = self._load_forbidden_words(forbidden_words_path)
        self.ocr_engine = self._initialize_ocr()
        self.OCR_CONFIDENCE_THRESHOLD = ocr_confidence_threshold

    def _load_forbidden_words(self, path):
        """从txt文件加载违禁词列表（与rapidocr_test.py保持一致）"""
        words = set()
        if not os.path.exists(path):
            logger.warning(f"警告：未找到违禁词文件 {path}，将跳过违禁词检测")
            return words

        try:
            with open(path, 'r', encoding='utf-8') as f:
                # 去除每行首尾空格和换行符，过滤空行（不排除注释行，与测试代码统一）
                words = {line.strip() for line in f if line.strip()}
            logger.info(f"成功加载 {len(words)} 个违禁词。")
        except Exception as e:
            logger.error(f"加载违禁词文件失败：{str(e)}，将跳过违禁词检测")
        return words

    def _initialize_ocr(self):
        """初始化RapidOCR引擎"""
        logger.info("正在初始化RapidOCR引擎...")

        config_path = r".\config\1.yaml"
        try:
            engine = RapidOCR(
                config_path=config_path
            )
            logger.info("RapidOCR引擎初始化成功。")
            return engine
        except Exception as e:
            logger.error(f"RapidOCR引擎初始化失败: {e}")
            return None

    def detect(self, frame):
        """
        对单帧图像进行OCR，检测所有出现的违禁词并返回列表
        返回格式：(是否有违禁词, 违禁词列表, 对应的置信度列表)
        """
        if not self.ocr_engine or not self.forbidden_words:
            return False, [], []

        all_prohibited = []  # 存储所有检测到的违禁词
        all_confidences = []  # 存储对应违禁词的置信度

        try:
            # 执行OCR识别（修正调用方式，与测试代码一致）
            result = self.ocr_engine(frame)
            logger.debug(f"RapidOCR 原始返回结果: {result}")

            if result is None:
                return False, [], []

            # 提取文本和置信度（适配RapidOCR的结果格式）
            texts = result.txts if hasattr(result, 'txts') else []
            confidences = result.scores if hasattr(result, 'scores') else []

            # 遍历所有识别结果，收集所有违禁词
            for text, conf in zip(texts, confidences):
                if conf < self.OCR_CONFIDENCE_THRESHOLD:
                    logger.debug(f"文本 '{text}' 置信度 {conf:.4f} 低于阈值，跳过")
                    continue

                # 检查当前文本中是否包含多个违禁词
                for word in self.forbidden_words:
                    if word in text:
                        logger.warning(f"OCR检测到违禁词: '{word}' (来自文本: '{text}') 置信度: {conf:.4f}")
                        all_prohibited.append(word)
                        all_confidences.append(conf)

        except Exception as e:
            logger.error(f"OCR检测过程中发生错误: {e}", exc_info=True)


        # 返回检测结果（是否有违禁词、所有违禁词列表、对应置信度列表）
        return len(all_prohibited) > 0, all_prohibited, all_confidences




# def test_single_image():
#     """测试单张图片的OCR违规检测（显示所有违禁词）"""
#     TEST_IMAGE_PATH = r"ocr/images/img_7.png"  # 修正路径格式
#     FORBIDDEN_WORDS_PATH = r"ocr/forbidden_words.txt"
#     CONFIDENCE_THRESHOLD = 0.5
#
#     detector = OCRViolationDetector(
#         forbidden_words_path=FORBIDDEN_WORDS_PATH,
#         ocr_confidence_threshold=CONFIDENCE_THRESHOLD
#     )
#
#     if not os.path.exists(TEST_IMAGE_PATH):
#         print(f"错误：图片文件不存在 - {TEST_IMAGE_PATH}")
#         return
#
#     frame = cv2.imread(TEST_IMAGE_PATH)
#     if frame is None:
#         print(f"错误：无法读取图片 - {TEST_IMAGE_PATH}")
#         return
#
#     # 执行检测
#     has_violation, words, confidences = detector.detect(frame)
#
#     # 输出所有检测到的违禁词
#     if has_violation:
#         print(f"测试结果：图片中共检测到 {len(words)} 个违禁词：")
#         for word, conf in zip(words, confidences):
#             print(f"- {word}（置信度：{conf:.4f}）")
#     else:
#         print("测试结果：图片中未检测到违禁词")
#
#
# if __name__ == "__main__":
#     print("开始单张图片OCR违规检测测试...")
#     test_single_image()
#     print("测试完成")