from typing import Tuple, List, Dict, Union, Callable
import numpy as np
import cv2
from collections import OrderedDict

from utils.textblock import TextBlock
from utils.registry import Registry
OCR = Registry('OCR')
register_OCR = OCR.register_module

from ..base import BaseModule, DEFAULT_DEVICE, DEVICE_SELECTOR, LOGGER

class OCRBase(BaseModule):

    _postprocess_hooks = OrderedDict()
    _preprocess_hooks = OrderedDict()
    _line_only: bool = False

    def __init__(self, **params) -> None:
        super().__init__(**params)
        self.name = ''
        for key in OCR.module_dict:
            if OCR.module_dict[key] == self.__class__:
                self.name = key
                break

    def run_ocr(self, img: np.ndarray, blk_list: List[TextBlock] = None, *args, **kwargs) -> Union[List[TextBlock], str]:

        if not self.all_model_loaded():
            self.load_model()

        if img.ndim == 3 and img.shape[-1] == 4:
            img = cv2.cvtColor(img, cv2.COLOR_RGBA2RGB)

        if blk_list is None:
            text = self.ocr_img(img)
            return text
        elif isinstance(blk_list, TextBlock):
            blk_list = [blk_list]

        for blk in blk_list:
            if self.name != 'none_ocr':
                blk.text = []
                
        self._ocr_blk_list(img, blk_list, *args, **kwargs)
        for callback_name, callback in self._postprocess_hooks.items():
            callback(textblocks=blk_list, img=img, ocr_module=self)

        return blk_list

    def _ocr_blk_list(self, img: np.ndarray, blk_list: List[TextBlock], *args, **kwargs) -> None:
        raise NotImplementedError

    def ocr_img(self, img: np.ndarray) -> str:
        raise NotImplementedError