import PyPDF2
import unicodedata
import re
import logging

from datamodel.data_model import PDFRawData
from .gpt_processor import Translator

class PDFProcessor:
    def __init__(self, file_path: str) -> None:
        self.file_path = file_path
        self.file_info = {
            'file_name': self.file_path.split('/')[-1],
            'file_format': 'PDF',
            'total_pages': 0,
            'file_content': {},
            'file_full_content': '',
        }
        self.__build_info()

    def __build_info(self) -> None:
        try:
            with open(self.file_path, 'rb') as pdf_file:
                pdf_reader = PyPDF2.PdfReader(pdf_file)
                pages = len(pdf_reader.pages)
                self.file_info['total_pages'] = pages
                for i, page in enumerate(pdf_reader.pages):
                    text = page.extract_text()
                    text = unicodedata.normalize("NFKD", text)
                    text = text.replace('\n', ' ').replace('\r', '')
                    text = re.sub(' +', ' ', text)
                    self.file_info['is_chinese'] = self.__is_chinese(text)

                    temp = {}
                    logging.info(f"Processing page {i + 1}...")
                    temp['page_num'] = i + 1
                    tranlator = Translator()
                    temp['page_content'] = tranlator.translate_to_chinese(text) if not self.file_info['is_chinese'] else text
                    self.file_info['file_content'][i + 1] = temp
                    self.file_info['file_full_content'] = self.file_info['file_full_content'] + temp['page_content']

        except FileNotFoundError:
            print(f"File not found: {self.file_path}")
        except Exception as e:
            print(f"An error occurred: {str(e)}")
        
    def __is_chinese(self, text: str) -> bool:
        for char in text:
            if char >= '\u4e00' and char <= '\u9fff':
                return True
        return False