FORMAT_CONVERSION_MAXCOMPUTE/format_convert/convert_pdf.py

import copy
import inspect
import io
import logging
import os
import re
import sys

from bs4 import BeautifulSoup

sys.path.append(os.path.dirname(__file__) + "/../")
from pdfplumber import PDF
from pdfplumber.table import TableFinder
from pdfplumber.page import Page as pdfPage
from format_convert.convert_tree import _Document, _Page, _Image, _Sentence, _Table
import time
import pdfminer
import math
from scipy.stats import linregress
from matplotlib import pyplot as plt
from shapely.geometry import LineString, Point
from format_convert import timeout_decorator
from PIL import Image
from format_convert.convert_image import image_process
from format_convert.convert_need_interface import from_ocr_interface, from_office_interface
import traceback
import cv2
import PyPDF2
from PyPDF2 import PdfFileReader, PdfFileWriter
from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfpage import PDFPage
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import LTTextBoxHorizontal, LAParams, LTFigure, LTImage, LTCurve, LTText, LTChar, LTRect, \
    LTTextBoxVertical, LTLine, LTTextContainer
from format_convert.utils import judge_error_code, add_div, get_platform, get_html_p, string_similarity, LineTable, \
    get_logger, log, memory_decorator, draw_lines_plt, get_garble_code, line_is_cross, get_md5_from_bytes, bytes2np
import fitz
from format_convert.wrapt_timeout_decorator import timeout


@memory_decorator
def pdf2Image(path, save_dir):
    log("into pdf2Image")
    try:
        try:
            doc = fitz.open(path)
        except Exception as e:
            log("pdf format error!")
            # print("pdf format error!", e)
            return [-3]

        # output_image_list = []
        output_image_dict = {}
        page_count = doc.page_count
        for page_no in range(page_count):
            # 限制pdf页数，只取前10页后10页
            if page_count > 20:
                if 10 <= page_no < page_count - 10:
                    # log("pdf2Image: pdf pages count " + str(doc.page_count)
                    #              + ", only get 70 pages")
                    continue

            try:
                page = doc.loadPage(page_no)
                output = save_dir + "_page" + str(page_no) + ".png"
                rotate = int(0)
                # 每个尺寸的缩放系数为1.3，这将为我们生成分辨率提高2.6的图像。
                # 此处若是不做设置，默认图片大小为：792X612, dpi=96
                # (1.33333333 --> 1056x816)   (2 --> 1584x1224)
                # (1.183, 2.28 --> 1920x1080)
                zoom_x = 3.
                zoom_y = 3.
                # mat = fitz.Matrix(zoom_x, zoom_y).preRotate(rotate)
                mat = fitz.Matrix(zoom_x, zoom_y).preRotate(rotate)
                pix = page.getPixmap(matrix=mat, alpha=False)
                pix.writePNG(output)
                pdf_image = cv2.imread(output)
                print("pdf_image", page_no, pdf_image.shape)
                # output_image_list.append([page_no, output])
                output_image_dict[int(page_no)] = output
            except ValueError as e:
                traceback.print_exc()
                if str(e) == "page not in document":
                    log("pdf2Image page not in document! continue..." + str(page_no))
                    continue
                elif "encrypted" in str(e):
                    log("pdf2Image document need password " + str(page_no))
                    return [-7]
            except RuntimeError as e:
                if "cannot find page" in str(e):
                    log("pdf2Image page {} not in document! continue... ".format(str(page_no)) + str(e))
                    continue
                else:
                    traceback.print_exc()
                    return [-3]
        return [output_image_dict]

    except Exception as e:
        log("pdf2Image error!")
        print("pdf2Image", traceback.print_exc())
        return [-1]


@timeout(10, timeout_exception=TimeoutError)
def pdf_analyze(interpreter, page, device, page_no):
    log("into pdf_analyze")
    pdf_time = time.time()
    # print("pdf_analyze interpreter process...")
    interpreter.process_page(page)
    # print("pdf_analyze device get_result...")
    layout = device.get_result()
    log("pdf2text page " + str(page_no) + " read time " + str(time.time() - pdf_time))
    return layout


@memory_decorator
def pdf2text(path, unique_type_dir):
    log("into pdf2text")
    try:
        # pymupdf pdf to image
        save_dir = path.split(".")[-2] + "_" + path.split(".")[-1]
        output_image_dict = pdf2Image(path, save_dir)
        if judge_error_code(output_image_dict):
            return output_image_dict
        output_image_dict = output_image_dict[0]
        output_image_no_list = list(output_image_dict.keys())
        output_image_no_list.sort(key=lambda x: x)

        # 获取每页pdf提取的文字、表格的列数、轮廓点、是否含表格、页码
        # page_info_list = []
        page_info_dict = {}
        has_table_dict = {}
        no_table_dict = {}
        for page_no in output_image_no_list:
            img_path = output_image_dict.get(page_no)
            print("pdf page", page_no, "in total", output_image_no_list[-1])
            # 读不出来的跳过
            try:
                img = cv2.imread(img_path)
                img_size = img.shape
            except:
                log("pdf2text read image in page fail! continue...")
                continue

            # 每张图片处理
            text, column_list, outline_points, is_table = image_process(img, img_path, use_ocr=False)
            if judge_error_code(text):
                return text

            # page_info_list.append([text, column_list, outline_points, is_table,
            #                        page_no, img_size])
            page_info = [text, column_list, outline_points, is_table, img_size]
            page_info_dict[int(page_no)] = page_info
            # 包含table的和不包含table的
            if is_table:
                has_table_dict[int(page_no)] = page_info
            else:
                no_table_dict[int(page_no)] = page_info

        has_table_no_list = list(has_table_dict.keys())
        has_table_no_list.sort(key=lambda x: x)
        page_no_list = list(page_info_dict.keys())
        page_no_list.sort(key=lambda x: x)

        # 页码表格连接
        table_connect_list, connect_text_list = page_table_connect(has_table_dict)
        if judge_error_code(table_connect_list):
            return table_connect_list

        # 连接的页码
        table_connect_page_no_list = []
        for area in connect_text_list:
            table_connect_page_no_list.append(area[1])
        print("pdf2text table_connect_list", table_connect_list)
        print("connect_text_list", connect_text_list)

        # pdfminer 方式
        try:
            fp = open(path, 'rb')
            # 用文件对象创建一个PDF文档分析器
            parser = PDFParser(fp)
            # 创建一个PDF文档
            doc = PDFDocument(parser)
            # 连接分析器，与文档对象
            rsrcmgr = PDFResourceManager()
            device = PDFPageAggregator(rsrcmgr, laparams=LAParams())
            interpreter = PDFPageInterpreter(rsrcmgr, device)

            # 判断是否能读pdf
            for page in PDFPage.create_pages(doc):
                break
        except pdfminer.psparser.PSEOF as e:
            # pdfminer 读不了空白页的对象，直接使用pymupdf转换出的图片进行ocr识别
            log("pdf2text " + str(e) + " use ocr read pdf!")
            text_list = []
            for page_no in page_no_list:
                log("pdf2text ocr page_no " + str(page_no))
                page_info = page_info_dict.get(page_no)
                # 表格
                if page_info[3]:
                    # 判断表格是否跨页连接
                    area_no = 0
                    jump_page = 0
                    for area in table_connect_list:
                        if page_no in area:
                            # 只记录一次text
                            if page_no == area[0]:
                                image_text = connect_text_list[area_no][0]
                                text_list.append([image_text, page_no, 0])
                            jump_page = 1
                        area_no += 1

                    # 是连接页的跳过后面步骤
                    if jump_page:
                        continue

                    # 直接取text
                    image_text = page_info_dict.get(page_no)[0]
                    text_list.append([image_text, page_no, 0])
                # 非表格
                else:
                    with open(output_image_dict.get(page_no), "rb") as ff:
                        image_stream = ff.read()
                    image_text = from_ocr_interface(image_stream)
                    text_list.append([image_text, page_no, 0])

            text_list.sort(key=lambda z: z[1])
            text = ""
            for t in text_list:
                text += t[0]
            return [text]
        except Exception as e:
            log("pdf format error!")
            traceback.print_exc()
            return [-3]

        text_list = []
        page_no = 0
        pages = PDFPage.create_pages(doc)
        pages = list(pages)
        page_count = len(pages)
        for page in pages:
            log("pdf2text pymupdf page_no " + str(page_no))
            # 限制pdf页数，只取前100页
            # if page_no >= 70:
            #     log("pdf2text: pdf pages only get 70 pages")
            #     break
            if page_count > 20:
                if 10 <= page_no < page_count - 10:
                    page_no += 1
                    continue

            # 判断页码在含表格页码中，直接拿已生成的text
            if page_no in has_table_no_list:
                # 判断表格是否跨页连接
                area_no = 0
                jump_page = 0
                for area in table_connect_list:
                    if page_no in area:
                        # 只记录一次text
                        if page_no == area[0]:
                            image_text = connect_text_list[area_no][0]
                            text_list.append([image_text, page_no, 0])
                        jump_page = 1
                    area_no += 1

                # 是连接页的跳过后面步骤
                if jump_page:
                    page_no += 1
                    continue

                # 直接取text
                image_text = has_table_dict.get(page_no)[0]
                text_list.append([image_text, page_no, 0])
                page_no += 1
                continue

            # 不含表格的解析pdf
            else:
                if get_platform() == "Windows":
                    try:
                        interpreter.process_page(page)
                        layout = device.get_result()
                    except Exception:
                        log("pdf2text pdfminer read pdf page error! continue...")
                        continue

                else:
                    # 设置超时时间
                    try:
                        # 解析pdf中的不含表格的页
                        if get_platform() == "Windows":
                            origin_pdf_analyze = pdf_analyze.__wrapped__
                            layout = origin_pdf_analyze(interpreter, page, device)
                        else:
                            layout = pdf_analyze(interpreter, page, device, page_no)
                    except TimeoutError as e:
                        log("pdf2text pdfminer read pdf page time out!")
                        return [-4]
                    except Exception:
                        log("pdf2text pdfminer read pdf page error! continue...")
                        continue

                # 判断该页有没有文字对象，没有则有可能是有水印
                only_image = 1
                image_count = 0
                for x in layout:
                    if isinstance(x, LTTextBoxHorizontal):
                        only_image = 0
                    if isinstance(x, LTFigure):
                        image_count += 1

                # 如果该页图片数量过多，直接ocr整页识别
                log("pdf2text image_count " + str(image_count))
                if image_count >= 3:
                    image_text = page_info_dict.get(page_no)[0]
                    if image_text is None:
                        with open(output_image_dict.get(page_no), "rb") as ff:
                            image_stream = ff.read()
                        image_text = from_ocr_interface(image_stream)
                        if judge_error_code(image_text):
                            return image_text
                        page_info_dict[page_no][0] = image_text

                    text_list.append([image_text, page_no, 0])
                    page_no += 1
                    continue

                order_list = []
                for x in layout:
                    # 该对象是否是ocr识别
                    ocr_flag = 0

                    if get_platform() == "Windows":
                        # print("x", page_no, x)
                        print()

                    if isinstance(x, LTTextBoxHorizontal):
                        image_text = x.get_text()

                        # 无法识别编码，用ocr
                        if re.search('[(]cid:[0-9]+[)]', image_text):
                            print(re.search('[(]cid:[0-9]+[)]', image_text))
                            image_text = page_info_dict.get(page_no)[0]
                            if image_text is None:
                                with open(output_image_dict.get(page_no), "rb") as ff:
                                    image_stream = ff.read()
                                image_text = from_ocr_interface(image_stream)
                                if judge_error_code(image_text):
                                    return image_text
                                page_info_dict[page_no][0] = image_text
                            image_text = add_div(image_text)
                            # order_list.append([image_text, page_no, x.bbox[1]])
                            order_list = [[image_text, page_no, x.bbox[1]]]
                            break
                        else:
                            image_text = add_div(image_text)
                            order_list.append([image_text, page_no, x.bbox[1]])
                            continue

                    if isinstance(x, LTFigure):
                        for image in x:
                            if isinstance(image, LTImage):
                                try:
                                    print("pdf2text LTImage size", page_no, image.width, image.height)
                                    image_stream = image.stream.get_data()

                                    # 小的图忽略
                                    if image.width <= 300 and image.height <= 300:
                                        continue

                                    # 有些水印导致pdf分割、读取报错
                                    # if image.width <= 200 and image.height<=200:
                                    #     continue

                                    # img_test = Image.open(io.BytesIO(image_stream))
                                    # img_test.save('temp/LTImage.jpg')

                                    # 查看提取的图片高宽，太大则抛错用pdf输出图进行ocr识别
                                    img_test = Image.open(io.BytesIO(image_stream))
                                    if img_test.size[1] > 2000 or img_test.size[0] > 1500:
                                        print("pdf2text LTImage stream output size", img_test.size)
                                        raise Exception
                                    # 比较小的图则直接保存用ocr识别
                                    else:
                                        img_test.save('temp/LTImage.jpg')
                                        with open('temp/LTImage.jpg', "rb") as ff:
                                            image_stream = ff.read()
                                        image_text = from_ocr_interface(image_stream)
                                        if judge_error_code(image_text):
                                            return image_text
                                # except pdfminer.pdftypes.PDFNotImplementedError:
                                #     with open(output_image_list[page_no], "rb") as ff:
                                #         image_stream = ff.read()
                                except Exception:
                                    log("pdf2text pdfminer read image in page " + str(page_no) +
                                        "  fail! use pymupdf read image...")
                                    # print(traceback.print_exc())
                                    image_text = page_info_dict.get(page_no)[0]
                                    if image_text is None:
                                        with open(output_image_dict.get(page_no), "rb") as ff:
                                            image_stream = ff.read()
                                        image_text = from_ocr_interface(image_stream)
                                        if judge_error_code(image_text):
                                            return image_text
                                        page_info_dict[page_no][0] = image_text
                                        ocr_flag = 1

                                # 判断只拿到了水印图: 无文字输出且只有图片对象
                                if image_text == "" and only_image:
                                    # 拆出该页pdf
                                    try:
                                        log("pdf2text guess pdf has watermark")
                                        split_path = get_single_pdf(path, page_no)
                                    except:
                                        # 如果拆分抛异常，则大概率不是水印图，用ocr识别图片
                                        log("pdf2text guess pdf has no watermark")
                                        image_text = page_info_dict.get(page_no)[0]
                                        if image_text is None:
                                            with open(output_image_dict.get(page_no), "rb") as ff:
                                                image_stream = ff.read()
                                                image_text = from_ocr_interface(image_stream)
                                            order_list.append([image_text, page_no, -1])
                                            page_info_dict[page_no][0] = image_text
                                            ocr_flag = 1
                                        continue
                                    if judge_error_code(split_path):
                                        return split_path

                                    # 调用office格式转换
                                    file_path = from_office_interface(split_path, unique_type_dir, 'html', 3)
                                    # if file_path == [-3]:
                                    #     return [-3]
                                    if judge_error_code(file_path):
                                        return file_path

                                    # 获取html文本
                                    image_text = get_html_p(file_path)
                                    if judge_error_code(image_text):
                                        return image_text

                                if get_platform() == "Windows":
                                    print("image_text", page_no, x.bbox[1], image_text)
                                    with open("temp" + str(x.bbox[0]) + ".jpg", "wb") as ff:
                                        ff.write(image_stream)
                                image_text = add_div(image_text)
                                if ocr_flag:
                                    order_list.append([image_text, page_no, -1])
                                else:
                                    order_list.append([image_text, page_no, x.bbox[1]])

                order_list.sort(key=lambda z: z[2], reverse=True)

                # 有ocr参与识别
                if order_list[-1][2] == -1:
                    ocr_order_list = [order_list[-1]]
                    not_ocr_order_list = []
                    not_ocr_text = ""
                    # 去重，因读取失败而重复获取
                    for order in order_list:
                        if order[2] != -1:
                            not_ocr_order_list.append(order)
                            not_ocr_text += order[0]
                    if string_similarity(ocr_order_list[0][0], not_ocr_text) >= 0.85:
                        order_list = not_ocr_order_list
                    else:
                        order_list = ocr_order_list

                for order in order_list:
                    text_list.append(order)
                page_no += 1

        text = ""
        for t in text_list:
            # text += add_div(t[0])
            if t[0] is not None:
                text += t[0]
        return [text]
    except UnicodeDecodeError as e:
        log("pdf2text pdfminer create pages failed! " + str(e))
        return [-3]
    except Exception as e:
        log("pdf2text error!")
        traceback.print_exc()
        return [-1]


def get_single_pdf(path, page_no):
    log("into get_single_pdf")
    try:
        # print("path, ", path)
        pdf_origin = PdfFileReader(path, strict=False)

        pdf_new = PdfFileWriter()
        pdf_new.addPage(pdf_origin.getPage(page_no))

        path_new = path.split(".")[0] + "_split.pdf"
        with open(path_new, "wb") as ff:
            pdf_new.write(ff)
        return path_new
    except PyPDF2.utils.PdfReadError as e:
        raise e
    except Exception as e:
        log("get_single_pdf error! page " + str(page_no))
        traceback.print_exc()
        raise e


def page_table_connect(has_table_dict):
    log("into page_table_connect")
    if not has_table_dict:
        return [], []

    try:
        # 判断是否有页码的表格相连
        table_connect_list = []
        temp_list = []
        # 离图片顶部或底部距离，页面高度的1/7
        threshold = 7
        page_no_list = list(has_table_dict.keys())
        page_no_list.sort(key=lambda x: x)
        for i in range(1, len(page_no_list)):
            page_info = has_table_dict.get(page_no_list[i])
            last_page_info = has_table_dict.get(page_no_list[i - 1])
            # 页码需相连
            if page_no_list[i] - page_no_list[i - 1] == 1:
                # 上一页最后一个区域的列数和下一页第一个区域列数都为0，且相等
                if not last_page_info[1][-1] and not page_info[1][0] and \
                        last_page_info[1][-1] == page_info[1][0]:

                    # 上一页的轮廓点要离底部一定距离内，下一页的轮廓点要离顶部一定距离内
                    if last_page_info[4][0] - last_page_info[2][-1][1][1] \
                            <= int(last_page_info[4][0] / threshold) \
                            and page_info[2][0][0][1] - 0 \
                            <= int(page_info[4][0] / threshold):
                        temp_list.append(page_no_list[i - 1])
                        temp_list.append(page_no_list[i])
                        continue

            # 条件不符合的，存储之前保存的连接页码
            if len(temp_list) > 1:
                temp_list = list(set(temp_list))
                temp_list.sort(key=lambda x: x)
                table_connect_list.append(temp_list)
                temp_list = []
        if len(temp_list) > 1:
            temp_list = list(set(temp_list))
            temp_list.sort(key=lambda x: x)
            table_connect_list.append(temp_list)
            temp_list = []

        # 连接两页内容
        connect_text_list = []
        for area in table_connect_list:
            first_page_no = area[0]
            area_page_text = str(has_table_dict.get(first_page_no)[0])
            for i in range(1, len(area)):
                current_page_no = area[i]
                current_page_text = str(has_table_dict.get(current_page_no)[0])

                # 连接两个table
                table_prefix = re.finditer('<table border="1">', current_page_text)
                index_list = []
                for t in table_prefix:
                    index_list.append(t.span())

                delete_index = index_list[0]
                current_page_text = current_page_text[:delete_index[0]] \
                                    + current_page_text[delete_index[1]:]

                table_suffix = re.finditer('</table>', area_page_text)
                index_list = []
                for t in table_suffix:
                    index_list.append(t.span())

                delete_index = index_list[-1]
                area_page_text = area_page_text[:delete_index[0]] \
                                 + area_page_text[delete_index[1]:]
                area_page_text = area_page_text + current_page_text
            connect_text_list.append([area_page_text, area])

        return table_connect_list, connect_text_list
    except Exception as e:
        # print("page_table_connect", e)
        log("page_table_connect error!")
        traceback.print_exc()
        return [-1], [-1]


@timeout(30, timeout_exception=TimeoutError)
def read_pdf(path, package_name, packages):
    log(package_name)
    laparams = LAParams(line_overlap=0.01,
                        char_margin=0.3,
                        line_margin=0.01,
                        word_margin=0.01,
                        boxes_flow=0.1, )

    if package_name == packages[0]:
        fp = open(path, 'rb')
        parser = PDFParser(fp)
        doc_pdfminer = PDFDocument(parser)
        rsrcmgr = PDFResourceManager()
        device = PDFPageAggregator(rsrcmgr, laparams=laparams)
        interpreter = PDFPageInterpreter(rsrcmgr, device)
        return doc_pdfminer, device, interpreter

    elif package_name == packages[1]:
        doc_pymupdf = fitz.open(path)
        return doc_pymupdf

    elif package_name == packages[2]:
        doc_pypdf2 = PdfFileReader(path, strict=False)
        doc_pypdf2_new = PdfFileWriter()
        return doc_pypdf2, doc_pypdf2_new

    elif package_name == packages[3]:
        fp = open(path, 'rb')
        lt = LineTable()
        doc_top = 0
        doc_pdfplumber = read_pdfplumber(fp, laparams)
        return lt, doc_top, doc_pdfplumber


@timeout(25, timeout_exception=TimeoutError)
def read_pdfminer(path, laparams):
    fp = open(path, 'rb')
    parser = PDFParser(fp)
    doc_pdfminer = PDFDocument(parser)
    rsrcmgr = PDFResourceManager()
    device = PDFPageAggregator(rsrcmgr, laparams=laparams)
    interpreter = PDFPageInterpreter(rsrcmgr, device)
    return doc_pdfminer, device, interpreter


@timeout(15, timeout_exception=TimeoutError)
def read_pymupdf(path):
    return fitz.open(path)


@timeout(15, timeout_exception=TimeoutError)
def read_pypdf2(path):
    doc_pypdf2 = PdfFileReader(path, strict=False)
    doc_pypdf2_new = PdfFileWriter()
    return doc_pypdf2, doc_pypdf2_new


@timeout(25, timeout_exception=TimeoutError, use_signals=False)
def read_pdfplumber(path, laparams):
    fp = open(path, 'rb')
    lt = LineTable()
    doc_top = 0
    doc_pdfplumber = PDF(fp, laparams=laparams.__dict__)
    return lt, doc_top, doc_pdfplumber


class PDFConvert:
    def __init__(self, path, unique_type_dir, need_page_no):
        self._doc = _Document(path)
        self.path = path
        self.unique_type_dir = unique_type_dir
        if not os.path.exists(self.unique_type_dir):
            os.mkdir(self.unique_type_dir)

        # 指定提取的页码范围
        self.need_page_no = need_page_no
        self.start_page_no = None
        self.end_page_no = None
        # 默认使用limit_page_cnt控制，前10页后10页
        if self.need_page_no is None:
            self.limit_page_cnt = 20
        else:
            # 使用start_page_no,end_page_no范围控制，例如2,5
            ss = self.need_page_no.split(',')
            if len(ss) != 2:
                self._doc.error_code = [-14]
            else:
                self.start_page_no = int(ss[0])
                self.end_page_no = int(ss[-1])
                if self.end_page_no == -1:
                    self.end_page_no = 1000000
                self.start_page_no -= 1
                self.end_page_no -= 1
                if self.end_page_no <= self.start_page_no or self.start_page_no < 0 or self.end_page_no < -1:
                    self._doc.error_code = [-14]

        self.packages = ["pdfminer", "PyMuPDF", "PyPDF2", "pdfplumber"]
        self.has_init_pdf = [0] * len(self.packages)

        # 记录图片对象的md5，用于去除大量重复图片
        self.md5_image_obj_list = []

    @memory_decorator
    def init_package(self, package_name):
        # 各个包初始化
        try:
            laparams = LAParams(line_overlap=0.01,
                                char_margin=0.3,
                                line_margin=0.01,
                                word_margin=0.01,
                                boxes_flow=0.1, )
            if package_name == self.packages[0]:
                # fp = open(self.path, 'rb')
                # parser = PDFParser(fp)
                # self.doc_pdfminer = PDFDocument(parser)
                # rsrcmgr = PDFResourceManager()
                # self.laparams = LAParams(line_overlap=0.01,
                #                          char_margin=0.3,
                #                          line_margin=0.01,
                #                          word_margin=0.01,
                #                          boxes_flow=0.1,)
                # self.device = PDFPageAggregator(rsrcmgr, laparams=self.laparams)
                # self.interpreter = PDFPageInterpreter(rsrcmgr, self.device)
                self.doc_pdfminer, self.device, self.interpreter = read_pdfminer(self.path, laparams)
                self.has_init_pdf[0] = 1

            elif package_name == self.packages[1]:
                self.doc_pymupdf = read_pymupdf(self.path)
                self.has_init_pdf[1] = 1

            elif package_name == self.packages[2]:
                # self.doc_pypdf2 = PdfFileReader(self.path, strict=False)
                # self.doc_pypdf2_new = PdfFileWriter()
                self.doc_pypdf2, self.doc_pypdf2_new = read_pypdf2(self.path)
                self.has_init_pdf[2] = 1

            elif package_name == self.packages[3]:
                # self.fp = open(self.path, 'rb')
                # self.lt = LineTable()
                # self.doc_top = 0
                # self.doc_pdfplumber = PDF(self.fp, laparams=self.laparams.__dict__)
                self.lt, self.doc_top, self.doc_pdfplumber = read_pdfplumber(self.path, laparams)
                self.has_init_pdf[3] = 0
            else:
                log("Only Support Packages " + str(self.packages))
                raise Exception
        except Exception as e:
            log(package_name + " cannot open pdf!")
            traceback.print_exc()
            self._doc.error_code = [-3]

    def convert(self, limit_page_cnt=20):
        if self.has_init_pdf[0] == 0:
            self.init_package("pdfminer")
        if self._doc.error_code is not None:
            self._doc.error_code = None
            # pdfminer读不了直接转成图片识别
            self.get_all_page_image()
            return

        # 判断是否能读pdf
        try:
            pages = PDFPage.create_pages(self.doc_pdfminer)
            for page in pages:
                break
            pages = list(pages)
        # except pdfminer.psparser.PSEOF as e:
        except:
            # pdfminer 读不了空白页的对象，直接使用pymupdf转换出的图片进行ocr识别
            log("pdf2text pdfminer read failed! read by pymupdf!")
            traceback.print_exc()
            try:
                self.get_all_page_image()
                return
            except:
                traceback.print_exc()
                log("pdf2text use pymupdf read failed!")
                self._doc.error_code = [-3]
                return

        # 每一页进行处理
        pages = PDFPage.create_pages(self.doc_pdfminer)
        pages = list(pages)
        page_count = len(pages)
        page_no = 0
        for page in pages:
            # 指定pdf页码
            if self.start_page_no is not None and self.end_page_no is not None:
                if page_count < self.end_page_no:
                    self.end_page_no = page_count
                if page_no < self.start_page_no or page_no >= self.end_page_no:
                    page_no += 1
                    continue
            # 限制pdf页数，只取前后各10页
            else:
                if page_count > limit_page_cnt and int(limit_page_cnt/2) <= page_no < page_count - int(limit_page_cnt/2):
                    page_no += 1
                    continue

            # 解析单页
            self._page = _Page(page, page_no)
            self.convert_page(page, page_no)

            if self._doc.error_code is None and self._page.error_code is not None:
                if self._page.error_code[0] in [-4, -3, 0]:
                    page_no += 1
                    continue
                else:
                    self._doc.error_code = self._page.error_code
                    break
            self._doc.add_child(self._page)
            page_no += 1

        self.delete_same_image()

    def delete_same_image(self, show=0):
        # 剔除大量重复图片
        md5_dict = {}
        for _md5, image_obj in self.md5_image_obj_list:
            if _md5 in md5_dict.keys():
                md5_dict[_md5] += [image_obj]
            else:
                md5_dict[_md5] = [image_obj]
        cnt_threshold = 10
        delete_obj_list = []
        for _md5 in md5_dict.keys():
            img_list = md5_dict.get(_md5)
            print('len(md5_dict.get(_md5))', _md5, len(img_list))
            if len(img_list) >= cnt_threshold:
                if show:
                    img_np = bytes2np(img_list[0].content)
                    cv2.namedWindow('delete same img_np', cv2.WINDOW_NORMAL)
                    cv2.imshow('delete same img_np', img_np)
                    cv2.waitKey(0)
                delete_obj_list += img_list
        for page in self._doc.children:
            for obj in delete_obj_list:
                if obj in page.children:
                    page.children.remove(obj)

        if show:
            for page in self._doc.children:
                for obj in page.children:
                    if isinstance(obj, _Image):
                        img_np = bytes2np(obj.content)
                        cv2.imshow('page img_np', img_np)
                        cv2.waitKey(0)

    def clean_text(self, _text):
        return re.sub("\s", "", _text)

    def get_text_lines(self, page, page_no):
        lt_line_list = []
        page_plumber = pdfPage(self.doc_pdfplumber, page, page_number=page_no, initial_doctop=self.doc_top)
        self.doc_top += page_plumber.height

        table_finder = TableFinder(page_plumber)
        all_width_zero = True
        for _edge in table_finder.get_edges():
            if _edge.get('linewidth') and _edge.get('linewidth') > 0:
                all_width_zero = False
                break
        for _edge in table_finder.get_edges():
            # print(_edge)
            if _edge.get('linewidth', 0.1) > 0 or all_width_zero:
                lt_line_list.append(LTLine(1, (float(_edge["x0"]), float(_edge["y0"])),
                                           (float(_edge["x1"]), float(_edge["y1"]))))
        log("pdf page %s has %s lines" % (str(page_no), str(len(lt_line_list))))
        return lt_line_list

    def get_page_lines(self, layout, page_no, show=0):
        def _plot(_line_list, mode=1):
            for _line in _line_list:
                if mode == 1:
                    x0, y0, x1, y1 = _line.__dict__.get("bbox")
                elif mode == 2:
                    x0, y0, x1, y1 = _line
                plt.plot([x0, x1], [y0, y1])
            plt.show()
            return

        def is_cross(A, B, C, D):
            if A[0] == B[0] == C[0] == D[0]:
                if A[1] <= C[1] <= B[1] or A[1] <= D[1] <= B[1] \
                        or C[1] <= A[1] <= D[1] or C[1] <= B[1] <= D[1]:
                    return True
            if A[1] == B[1] == C[1] == D[1]:
                if A[0] <= C[0] <= B[0] or A[0] <= D[0] <= B[0] \
                        or C[0] <= A[0] <= D[0] or C[0] <= B[0] <= D[0]:
                    return True

            line1 = LineString([A, B])
            line2 = LineString([C, D])

            int_pt = line1.intersection(line2)
            try:
                point_of_intersection = int_pt.x, int_pt.y
                return True
            except:
                return False

        def calculate_k(bbox):
            x = [bbox[0], bbox[2]]
            y = [bbox[1], bbox[3]]
            slope, intercept, r_value, p_value, std_err = linregress(x, y)
            # print('k', slope)
            if math.isnan(slope):
                slope = 0
            return slope

        def line_iou(line1, line2, axis=0):
            inter = min(line1[1][axis], line2[1][axis]) - max(line1[0][axis], line2[0][axis])
            # union = max(line1[1][axis], line2[1][axis]) - min(line1[0][axis], line2[0][axis])
            union = min(abs(line1[0][axis] - line1[1][axis]), abs(line2[0][axis] - line2[1][axis]))
            if union in [0, 0.]:
                iou = 0.
            else:
                iou = inter / union
            return iou

        def get_cross_line(_line_list, threshold=1, cross_times=0):
            # 根据是否有交点判断表格线
            _cross_line_list = []
            for line1 in _line_list:
                if line1 in _cross_line_list:
                    continue
                if abs(line1[2] - line1[0]) > abs(line1[3] - line1[1]):
                    p1 = [max(0, line1[0] - threshold), line1[1]]
                    p2 = [min(line1[2] + threshold, page_w), line1[3]]
                else:
                    p1 = [line1[0], max(0, line1[1] - threshold)]
                    p2 = [line1[2], min(line1[3] + threshold, page_h)]
                line1 = [p1[0], p1[1], p2[0], p2[1]]
                _times = 0
                for line2 in _line_list:
                    if abs(line2[2] - line2[0]) > abs(line2[3] - line2[1]):
                        p3 = [max(0, line2[0] - threshold), line2[1]]
                        p4 = [min(line2[2] + threshold, page_w), line2[3]]
                    else:
                        p3 = [line2[0], max(0, line2[1] - threshold)]
                        p4 = [line2[2], min(line2[3] + threshold, page_h)]
                    line2 = [p3[0], p3[1], p4[0], p4[1]]
                    if line1 == line2:
                        continue
                    if is_cross(p1, p2, p3, p4):
                        _times += 1
                        if _times >= cross_times:
                            _cross_line_list += [line1]
                            break
            return _cross_line_list

        def repair_bias_line(_line_list):
            temp_list = []
            for line in _line_list:
                x0, y0, x1, y1 = line
                _y = min(y0, y1)
                _x = min(x0, x1)
                if abs(x0 - x1) > abs(y0 - y1):
                    temp_list.append([x0, _y, x1, _y])
                else:
                    temp_list.append([_x, y0, _x, y1])
            _line_list = temp_list
            return _line_list

        def repair_col_line(_straight_list, _bias_list, threshold=2, min_width=7):
            if not _straight_list or not _bias_list:
                print('add_col_bias_line empty', len(_straight_list), len(_bias_list))
                return []

            # 分列
            _straight_list.sort(key=lambda x: (x[0], x[1]))
            cols = []
            col = []
            current_w = _straight_list[0][0]
            for line in _straight_list:
                if abs(line[0] - line[2]) > abs(line[1] - line[3]):
                    continue
                if min(line[0], line[2]) - threshold <= current_w <= max(line[0], line[2]) + threshold:
                    col.append(line)
                else:
                    if col:
                        cols.append(col)
                    col = [line]
                    current_w = line[0]
            if col:
                cols.append(col)

            # 补充col
            new_list = []
            for line in bias_line_list:
                if abs(line[0] - line[2]) > abs(line[1] - line[3]):
                    continue
                for col in cols:
                    w = col[0][0]
                    if w - threshold <= line[0] <= w + threshold or w - threshold <= line[2] <= w + threshold:
                        new_list.append([w, line[1] - 3, w, line[3] + 3])
            new_list += _straight_list

            # 去重
            new_list = [str(x) for x in new_list]
            new_list = list(set(new_list))
            new_list = [eval(x) for x in new_list]

            # 分列
            new_list.sort(key=lambda x: (x[0], x[1]))
            cols = []
            col = []
            current_w = new_list[0][0]
            for line in new_list:
                if abs(line[0] - line[2]) > abs(line[1] - line[3]):
                    continue
                if min(line[0], line[2]) - threshold <= current_w <= max(line[0], line[2]) + threshold:
                    col.append(line)
                else:
                    if col:
                        cols.append(col)
                    col = [line]
                    current_w = line[0]
            if col:
                cols.append(col)

            # 删除col
            for col1 in cols:
                for col2 in cols:
                    if col1 == col2 or abs(col1[0][0] - col2[0][0]) > min_width:
                        continue

                    col1_len, col2_len = 0, 0
                    for c in col1:
                        col1_len += abs(c[1] - c[3])
                    for c in col2:
                        col2_len += abs(c[1] - c[3])
                    if col1_len > col2_len * 3:
                        for c in col2:
                            if c in new_list:
                                new_list.remove(c)
                    if col2_len > col1_len * 3:
                        for c in col1:
                            if c in new_list:
                                new_list.remove(c)
            return new_list

        def merge_line(_line_list, threshold=2):
            new_line_list = []
            # 分列
            _line_list.sort(key=lambda x: (x[0], x[1]))
            cols = []
            col = [_line_list[0]]
            current_w = _line_list[0][0]
            for line in _line_list:
                if abs(line[0] - line[2]) > abs(line[1] - line[3]):
                    continue
                if min(line[0], line[2]) - threshold <= current_w <= max(line[0], line[2]) + threshold \
                        and is_cross(line[0:2], line[2:4], col[-1][0:2], col[-1][2:4]):
                    col.append(line)
                else:
                    if col:
                        cols.append(col)
                    col = [line]
                    current_w = line[0]
            if col:
                cols.append(col)

            for col in cols:
                temp_c = col[0]
                col_w = col[0][0]
                for i in range(len(col) - 1):
                    c = col[i]
                    next_c = col[i + 1]
                    if is_cross(c[0:2], c[2:4], next_c[0:2], next_c[2:4]):
                        temp_c = [col_w, min(temp_c[1], c[1], c[3], next_c[1], next_c[3]), col_w,
                                  max(temp_c[3], c[1], c[3], next_c[1], next_c[3])]
                    else:
                        new_line_list.append(temp_c)
                        temp_c = next_c
                if not new_line_list or (new_line_list and new_line_list[-1] != temp_c):
                    new_line_list.append(temp_c)

            # 分行
            _line_list.sort(key=lambda x: (x[1], x[0]))
            rows = []
            row = []
            current_h = _line_list[0][1]
            for line in _line_list:
                if abs(line[0] - line[2]) < abs(line[1] - line[3]):
                    continue
                if min(line[1], line[3]) - threshold <= current_h <= max(line[1], line[3]) + threshold:
                    row.append(line)
                else:
                    if row:
                        rows.append(row)
                    row = [line]
                    current_h = line[1]
            if row:
                rows.append(row)

            for row in rows:
                temp_r = row[0]
                row_h = row[0][1]
                for i in range(len(row) - 1):
                    r = row[i]
                    next_r = row[i + 1]
                    # if is_cross(r[0:2], r[2:4], next_r[0:2], next_r[2:4]):
                    if line_iou([r[0:2], r[2:4]], [next_r[0:2], next_r[2:4]], axis=0):
                        temp_r = [min(temp_r[0], r[0], r[2], next_r[0], next_r[2]), row_h,
                                  max(temp_r[2], r[0], r[2], next_r[0], next_r[2]), row_h]
                    else:
                        new_line_list.append(temp_r)
                        temp_r = next_r
                if not new_line_list or (new_line_list and new_line_list[-1] != temp_r):
                    new_line_list.append(temp_r)
            return new_line_list

        def remove_outline_no_cross(_line_list):
            row_list = []
            col_list = []
            for line in _line_list:
                # 存所有行
                if abs(line[0] - line[2]) > abs(line[1] - line[3]):
                    row_list.append(line)
                # 存所有列
                if abs(line[0] - line[2]) < abs(line[1] - line[3]):
                    col_list.append(line)

            if not col_list:
                return _line_list

            # 左右两条边框
            col_list.sort(key=lambda x: (x[0], x[1]))
            left_col = col_list[0]
            right_col = col_list[-1]

            # 判断有交点但中间区域无交点
            compare_list = []
            for col in [left_col, right_col]:
                add_h = abs(col[1]-col[3]) / 8
                center_area = [col[1]+add_h, col[3]-add_h]
                cross_cnt = 0
                center_cross_cnt = 0
                center_row_cnt = 0
                for row in row_list:
                    if is_cross(row[0:2], row[2:4], col[0:2], col[2:4]):
                        if center_area[0] <= row[1] <= center_area[1]:
                            center_cross_cnt += 1
                        else:
                            cross_cnt += 1
                    else:
                        if center_area[0] <= row[1] <= center_area[1]:
                            center_row_cnt += 1
                compare_list.append([cross_cnt, center_cross_cnt, center_row_cnt])

            _flag = True
            for c in compare_list:
                if c[0] >= 2 and c[1] == 0 and c[2] >= 2:
                    continue
                _flag = False
            print('compare_list', compare_list)
            if _flag and compare_list[0][1] == compare_list[1][1] \
                    and compare_list[0][2] == compare_list[1][2]:
                for col in [left_col, right_col]:
                    if col in _line_list:
                        _line_list.remove(col)
            return _line_list

        def cross_line_process(_cross_line_list, _bias_line_list):
            # 斜线校正
            if _cross_line_list:
                _cross_line_list = repair_bias_line(_cross_line_list)

            # 修复竖线
            if _bias_line_list:
                _cross_line_list = repair_col_line(_cross_line_list, _bias_line_list)

            # 根据是否有交点判断表格线
            _cross_line_list = get_cross_line(_cross_line_list, threshold=1, cross_times=1)

            # 合并线条
            if not _cross_line_list:
                return []
            _cross_line_list = merge_line(_cross_line_list)

            # 删除最外层嵌套边框
            _cross_line_list = remove_outline_no_cross(_cross_line_list)

            # 复用otr的部分后处理，补线
            from otr.table_line_new import table_line_pdf
            _cross_line_list = table_line_pdf(_cross_line_list, page_w, page_h)

            return _cross_line_list

        log('into get_page_lines')

        page_h = layout.height
        page_w = layout.width

        element_list = []
        line_list = []
        bias_line_list = []
        text_bbox_list = []
        for element in layout:
            if isinstance(element, LTTextContainer):
                text_bbox_list.append(element.bbox)

            # 只取这三种类型的bbox
            if isinstance(element, (LTRect, LTCurve, LTLine)):
                element_list.append(element)
                if element.height > 0.5 and element.width > 0.5:
                    # print('element.height, element.width', element.height, element.width)
                    k = calculate_k(element.bbox)
                    if 1.73 / 3 < abs(k) < 1.73:
                        continue
                    else:
                        bias_line_list.append(element.bbox)
                    continue
                line_list.append(element.bbox)

        if show:
            print('get_page_lines line_list', line_list)
            print('get_page_lines bias_line_list', bias_line_list)
            _plot(line_list+bias_line_list, mode=2)
        if not line_list and not bias_line_list:
            return []

        # 是否使用斜线来生成表格
        line_list_copy = copy.deepcopy(line_list)
        if len(line_list) < 6 and len(bias_line_list) > len(line_list) * 2:
            if show:
                print('use bias line')
            # bias_line_list += add_col_bias_line(line_list, bias_line_list)
            line_list = bias_line_list

        # 去重
        line_list = [str(x) for x in line_list]
        line_list = list(set(line_list))
        line_list = [eval(x) for x in line_list]

        if show:
            _plot(line_list, mode=2)

        # 根据是否有交点判断表格线
        cross_line_list = get_cross_line(line_list_copy+bias_line_list, threshold=2, cross_times=1)

        if show:
            print('get_page_lines cross_line_list', cross_line_list)
        if not cross_line_list:
            # 将线全部合并再获取一次
            cross_line_list = get_cross_line(line_list_copy+bias_line_list, threshold=2, cross_times=1)
            if not cross_line_list:
                return []

        cross_line_list = cross_line_process(cross_line_list, bias_line_list)
        if not cross_line_list:
            cross_line_list = get_cross_line(line_list_copy+bias_line_list, threshold=2, cross_times=1)
            cross_line_list = cross_line_process(cross_line_list, bias_line_list)
            if show:
                print('get_page_lines cross_line_list2', cross_line_list)

        # show
        if show:
            print('len(cross_line_list)', len(cross_line_list))
            # _plot(line_list, mode=2)
            _plot(cross_line_list, mode=2)

        lt_line_list = []
        for line in cross_line_list:
            lt_line_list.append(LTLine(1, (float(line[0]), float(line[1])),
                                       (float(line[2]), float(line[3]))))
        log("pdf page %s has %s lines" % (str(page_no), str(len(lt_line_list))))
        return lt_line_list

    def recognize_text(self, layout, page_no, lt_text_list, lt_line_list):
        list_tables, filter_objs, _, connect_textbox_list = self.lt.recognize_table(lt_text_list, lt_line_list, from_pdf=True)
        self._page.in_table_objs = filter_objs

        # print("=======text_len:%d:filter_len:%d"%(len(lt_text_list),len(filter_objs)))

        for table in list_tables:
            _table = _Table(table["table"], table["bbox"])
            # self._page.children.append(_table)
            self._page.add_child(_table)

        list_sentences = ParseUtils.recognize_sentences(lt_text_list, filter_objs,
                                                        layout.bbox, page_no)

        for sentence in list_sentences:
            _sen = _Sentence(sentence.text, sentence.bbox)
            self._page.add_child(_sen)
        # pdf对象需反向排序
        self._page.is_reverse = True

        return list_tables

    def is_text_legal(self, lt_text_list, page_no):
        # 无法识别pdf字符编码，整页用ocr
        text_temp = ""
        for _t in lt_text_list:
            text_temp += _t.get_text()

        if re.search('[(]cid:[0-9]+[)]', text_temp):
            log("text has cid! try pymupdf...")
            page_image = self.get_page_image(page_no)
            if judge_error_code(page_image):
                self._page.error_code = page_image
            else:
                _image = _Image(page_image[1], page_image[0])
                self._page.add_child(_image)
            return False

        match1 = re.findall(get_garble_code(), text_temp)
        # match2 = re.search('[\u4e00-\u9fa5]', text_temp)
        if len(match1) > 3 and len(text_temp) > 10:
            log("pdf garbled code! try pymupdf... " + text_temp[:20])
            page_image = self.get_page_image(page_no)
            if judge_error_code(page_image):
                self._page.error_code = page_image
            else:
                _image = _Image(page_image[1], page_image[0])
                self._page.add_child(_image)
            return False

        return True

    def judge_b_table(self, lt_text_list, table_list):
        table_h_list = []
        for table in table_list:
            table_h_list.append([table.get('bbox')[1], table.get('bbox')[3]])

        # 先分行
        lt_text_list.sort(key=lambda x: (x.bbox[1], x.bbox[0]))
        lt_text_row_list = []
        current_h = lt_text_list[0].bbox[1]
        row = []
        threshold = 2
        for lt_text in lt_text_list:
            bbox = lt_text.bbox
            if current_h - threshold <= bbox[1] <= current_h + threshold:
                row.append(lt_text)
            else:
                if row:
                    lt_text_row_list.append(row)
                row = [lt_text]
                current_h = lt_text.bbox[1]
        if row:
            lt_text_row_list.append(row)

        # print('lt_text_row_list')
        # for r in lt_text_row_list:
        #     print('r', [x.get_text() for x in r])
        # 判断文本中间是否是空格，或一行文本中间有多个
        is_b_table_flag = False
        is_b_table_cnt = 3
        tolerate_cnt = 2
        t_cnt = 0
        row_cnt = 0
        b_table_row_list = []
        for row in lt_text_row_list:
            # 水印行跳过
            if len(row) == 1 and len(row[0].get_text()[:-1]) == 1:
                continue
            # 目录行跳过
            continue_flag = False
            for r in row:
                if re.search('[.·]{7,}', r.get_text()):
                    continue_flag = True
                    break
            if continue_flag:
                continue

            if len(row) == 1:
                text = row[0].get_text()
                bbox = row[0].bbox
                match = re.search('[ ]{3,}', text)
                if match and re.search('[\u4e00-\u9fff]{2,}', text[:match.span()[0]]) \
                        and re.search('[\u4e00-\u9fff]{2,}', text[match.span()[1]:]):
                    row_cnt += 1
                    t_cnt = 0
                    b_table_row_list += row
                else:
                    # 容忍
                    if t_cnt < tolerate_cnt:
                        t_cnt += 1
                        continue
                    row_cnt = 0
                    b_table_row_list = []
            else:
                row_cnt += 1
                t_cnt = 0
                b_table_row_list += row

            if row_cnt >= is_b_table_cnt:
                # 判断在不在有边框表格的范围
                in_flag = False
                for table_h in table_h_list:
                    for b in b_table_row_list:
                        # print('b.bbox', b.bbox)
                        # print(table_h)
                        if table_h[1] <= b.bbox[1] <= table_h[0] or table_h[1] <= b.bbox[3] <= table_h[0]:
                            in_flag = True
                            break
                    if in_flag:
                        break
                if in_flag:
                    is_b_table_flag = False
                    t_cnt = 0
                    row_cnt = 0
                else:
                    print('True b_table_row_list', b_table_row_list)
                    print('table_h_list', table_h_list)
                    is_b_table_flag = True
                    break
        log('pdf is_b_table_flag ' + str(is_b_table_flag))
        return is_b_table_flag

    def convert_page(self, page, page_no):
        layout = self.get_layout(page, page_no)
        if self._doc.error_code is not None:
            return
        if judge_error_code(layout):
            self._page.error_code = layout
            return

        # 判断该页的对象类型，并存储
        lt_text_list = []
        lt_image_list = []
        for x in layout:
            if isinstance(x, (LTTextBoxHorizontal, LTTextBoxVertical)):
                lt_text_list.append(x)
            if isinstance(x, LTFigure):
                for y in x:
                    if isinstance(y, LTImage):
                        # 小的图忽略
                        if y.width <= 300 and y.height <= 300:
                            continue
                        # 图的width超过layout width，很大可能是水印
                        if y.width > layout.width + 20:
                            continue
                        lt_image_list.append(y)
        lt_text_list = self.delete_water_mark(lt_text_list, layout.bbox, 15)
        log("convert_pdf page " + str(page_no))
        log("len(lt_image_list), len(lt_text_list) " + str(len(lt_image_list)) + " " + str(len(lt_text_list)))
        log('layout.width, layout.height ' + str(layout.width) + str(layout.height))

        # 若只有文本且图片数为0，直接提取文字及表格
        # if only_image == 0 and image_count == 0:
        # if len(lt_image_list) == 0 and len(lt_text_list) > 0:
        #     # PDFPlumber
        #     if self.has_init_pdf[3] == 0:
        #         self.init_package("pdfplumber")
        #     if self._doc.error_code is not None:
        #         self._doc.error_code = None
        #         log("init pdfplumber failed! try pymupdf...")
        #         # 调用pdfplumber获取pdf图片报错，则使用pypdf2将pdf转html
        #         page_image = self.get_page_image(page_no)
        #         if judge_error_code(page_image):
        #             self._page.error_code = page_image
        #         else:
        #             _image = _Image(page_image[1], page_image[0])
        #             self._page.add_child(_image)
        #         return
        #
        #     if not self.is_text_legal(lt_text_list, page_no):
        #         return
        #
        #     # 根据text规律，判断该页是否可能有无边框表格
        #     start_time = time.time()
        #     if self.judge_b_table(lt_text_list):
        #         page_image = self.get_page_image(page_no)
        #         if judge_error_code(page_image):
        #             self._page.error_code = page_image
        #         else:
        #             _image = _Image(page_image[1], page_image[0])
        #             _image.is_from_pdf = True
        #             _image.b_table_from_text = True
        #             _image.b_table_text_obj_list = lt_text_list
        #             _image.b_table_layout_size = (layout.width, layout.height)
        #             self._page.add_child(_image)
        #         log('convert_pdf judge_b_table set image cost: ' + str(time.time()-start_time))
        #
        #     try:
        #         lt_line_list = self.get_page_lines(layout, page_no)
        #     except:
        #         traceback.print_exc()
        #         lt_line_list = []
        #         self._page.error_code = [-13]
        #     try:
        #         # lt_line_list = self.get_text_lines(page,page_no)
        #         self.recognize_text(layout, page_no, lt_text_list, lt_line_list)
        #     except:
        #         traceback.print_exc()
        #         self._page.error_code = [-8]

        # 若该页图片数量过多，或无文本，则直接ocr整页识别
        # elif image_count > 3 or only_image == 1:
        if len(lt_image_list) > 4 or len(lt_text_list) == 0:
            page_image = self.get_page_image(page_no)
            if judge_error_code(page_image):
                self._page.error_code = page_image
            else:
                _image = _Image(page_image[1], page_image[0])
                _image.is_from_pdf = True
                self._page.add_child(_image)

        # 正常读取该页对象
        else:
            # 图表对象
            for image in lt_image_list:
                try:
                    print("pdf2text LTImage size", page_no, image.width, image.height)
                    image_stream = image.stream.get_data()
                    # 小的图忽略
                    if image.width <= 300 and image.height <= 300:
                        continue
                    # 查看提取的图片高宽，太大则用pdf输出图进行ocr识别
                    img_test = Image.open(io.BytesIO(image_stream))
                    if image.height >= 1000 and image.width >= 1000:
                        page_image = self.get_page_image(page_no)
                        if judge_error_code(page_image):
                            self._page.error_code = page_image
                        else:
                            _image = _Image(page_image[1], page_image[0])
                            _image.is_from_pdf = True
                            self._page.add_child(_image)
                            image_md5 = get_md5_from_bytes(page_image[1])
                            self.md5_image_obj_list.append([image_md5, _image])
                        return
                    # 比较小的图则直接保存用ocr识别
                    else:
                        temp_path = self.unique_type_dir + 'page' + str(page_no) \
                                    + '_lt' + str(lt_image_list.index(image)) + '.jpg'
                        img_test.save(temp_path)
                        with open(temp_path, "rb") as ff:
                            image_stream = ff.read()
                        _image = _Image(image_stream, temp_path, image.bbox)
                        self._page.add_child(_image)
                        image_md5 = get_md5_from_bytes(image_stream)
                        self.md5_image_obj_list.append([image_md5, _image])
                except Exception:
                    log("pdf2text pdfminer read image in page " + str(page_no) +
                        "  fail! use pymupdf read image...")
                    traceback.print_exc()
            # pdf对象需反向排序
            self._page.is_reverse = True
            self.init_package("pdfplumber")

            if not self.is_text_legal(lt_text_list, page_no):
                return

            try:
                lt_line_list = self.get_page_lines(layout, page_no)
            except:
                traceback.print_exc()
                lt_line_list = []
                self._page.error_code = [-13]
            table_list = self.recognize_text(layout, page_no, lt_text_list, lt_line_list)

            # 根据text规律，判断该页是否可能有无边框表格
            if self.judge_b_table(lt_text_list, table_list):
                page_image = self.get_page_image(page_no)
                if judge_error_code(page_image):
                    self._page.error_code = page_image
                else:
                    _image = _Image(page_image[1], page_image[0])
                    _image.is_from_pdf = True
                    _image.b_table_from_text = True
                    _image.b_table_text_obj_list = lt_text_list
                    _image.b_table_layout_size = (layout.width, layout.height)
                    self._page.add_child(_image)

    def get_layout(self, page, page_no):
        log("get_layout")
        if self.has_init_pdf[0] == 0:
            self.init_package("pdfminer")
        if self._doc.error_code is not None:
            return

        # 获取该页layout
        start_time = time.time()
        try:
            if get_platform() == "Windows":
                # origin_pdf_analyze = pdf_analyze.__wrapped__
                # layout = origin_pdf_analyze(self.interpreter, page, self.device)
                layout = pdf_analyze(self.interpreter, page, self.device, page_no)
            else:
                layout = pdf_analyze(self.interpreter, page, self.device, page_no)
        except TimeoutError as e:
            log("pdf2text pdfminer read pdf page " + str(page_no) + " time out! " + str(time.time() - start_time))
            layout = [-4]
        except Exception:
            traceback.print_exc()
            log("pdf2text pdfminer read pdf page " + str(page_no) + " error! continue...")
            layout = [-3]
        return layout

    def get_page_image(self, page_no):
        log("")
        try:
            if self.has_init_pdf[1] == 0:
                self.init_package("PyMuPDF")
            if self._doc.error_code is not None:
                return

            # save_dir = self.path.split(".")[-2] + "_" + self.path.split(".")[-1]
            output = self.unique_type_dir + "page" + str(page_no) + ".png"
            page = self.doc_pymupdf.loadPage(page_no)
            rotate = int(0)
            zoom_x = 2.
            zoom_y = 2.
            mat = fitz.Matrix(zoom_x, zoom_y).preRotate(rotate)
            pix = page.getPixmap(matrix=mat, alpha=False)
            pix.writePNG(output)
            # 输出图片resize
            self.resize_image(output)
            with open(output, "rb") as f:
                pdf_image = f.read()
            return [output, pdf_image]
        except ValueError as e:
            traceback.print_exc()
            if str(e) == "page not in document":
                log("pdf2Image page not in document! continue... page " + str(page_no))
                return [0]
            elif "encrypted" in str(e):
                log("pdf2Image document need password " + str(page_no))
                return [-7]
        except RuntimeError as e:
            if "cannot find page" in str(e):
                log("pdf2Image page {} not in document! continue... ".format(str(page_no)) + str(e))
                return [0]
            else:
                traceback.print_exc()
                return [-3]

    def get_all_page_image(self):
        log("")
        if self.has_init_pdf[1] == 0:
            self.init_package("PyMuPDF")
        if self._doc.error_code is not None:
            return

        page_count = self.doc_pymupdf.page_count
        for page_no in range(page_count):
            # 限制pdf页数，只取前10页后10页
            if page_count > 20:
                if 10 <= page_no < page_count - 10:
                    continue

            self._page = _Page(None, page_no)
            page_image = self.get_page_image(page_no)
            if judge_error_code(page_image):
                self._page.error_code = page_image
            else:
                _image = _Image(page_image[1], page_image[0])
                self._page.add_child(_image)
            # 报错继续读后面页面
            if self._doc.error_code is None and self._page.error_code is not None:
                continue
            self._doc.add_child(self._page)

    def connect_table(self, html_list):
        if not html_list:
            return html_list

        # 判断初始条件1
        # 0: 前一页最后一个表格为A，后一页第一个表格为B
        # 1.1: A后无文本(除了页码)，且B前无文本(除了页码)
        # 1.2: B前有文字(可能是页眉，小于60字)，且B的第一行前几个单元格为空，且第一行不为空的单元格有文字较多的格子
        # 1.3: B前有文字(可能是页眉，小于60字)，且B的第一行第一个单元格为空，且有文字的格子数量占所有格子的一半
        connect_flag_list = []
        soup_list = []
        for i, h in enumerate(html_list):
            soup = BeautifulSoup(h, 'lxml')
            soup_list.append(soup)
            # 找最后一个表格
            last_table_start, last_table_end = None, None
            # print('h', h)
            match = re.finditer('<table', h)
            for m in match:
                last_table_start = m.span()[0]
            if last_table_start is not None:
                match = re.finditer('</table>', h[last_table_start:])
                for m in match:
                    last_table_end = m.span()[1] + last_table_start
            # 最后一个表格后有无除了页码外的内容
            connect_flag1 = False
            if last_table_end is not None:
                match = re.search('[^-/第页0-9，,]*', re.sub('<div>|</div>', '', h[last_table_end:]))
                # print('match1', match.group())
                if not match or match.group() == '':
                    connect_flag1 = True

            # 找第一个表格
            first_table_start, first_table_end = None, None
            match = re.finditer('<table', h)
            for m in match:
                first_table_start = m.span()[0]
                break
            # 第一个表格后有无内容
            connect_flag2 = False
            if first_table_start is not None and first_table_start == 0:
                connect_flag2 = True
            # 有内容但是是页眉
            if not connect_flag2:
                tables = soup.findAll('table')
                if tables:
                    first_table = tables[0]
                    rows = first_table.findAll('tr')
                    if rows:
                        first_row = rows[0]
                        col_text_list = [len(x.text) for x in first_row]
                        # 文字大于60且第一个为空
                        if len(h[:first_table_start]) <= 60 and col_text_list[0] == 0 and max(col_text_list) >= 30:
                            connect_flag2 = True
                        # 有文字格子数占一半一下且第一个格子为空
                        elif col_text_list.count(0) >= len(col_text_list) / 2 and col_text_list[0] == 0:
                            connect_flag2 = True

            connect_flag_list.append([i, connect_flag2, connect_flag1])

        print('connect_flag_list', connect_flag_list)

        # 根据条件1合并需连接页码，形成组
        connect_pages_list = []
        temp_list = []
        for i, c in enumerate(connect_flag_list):
            if temp_list and c[1]:
                temp_list.append(c)
            elif not temp_list and c[2]:
                temp_list.append(c)
            else:
                if temp_list:
                    connect_pages_list.append(temp_list)
                    temp_list = []
                connect_pages_list.append([c])
        if temp_list:
            connect_pages_list.append(temp_list)

        print('connect_pages_list', connect_pages_list)

        # 判断后续条件：判断组内列数是否相同
        connect_pages_list2 = []
        for c_list in connect_pages_list:
            if len(c_list) == 1:
                connect_pages_list2.append(c_list)
            else:
                col_cnt_list = []
                # 单元格可能被复制了，相同的合并当做一列
                merge_col_cnt_list = []
                for c in c_list:
                    soup = soup_list[c[0]]
                    table1 = soup.findAll('table')[-1]
                    table2 = soup.findAll('table')[0]
                    tr1 = table1.findAll('tr')
                    tr2 = table2.findAll('tr')
                    td1 = tr1[-1].findAll('td')
                    td2 = tr2[0].findAll('td')
                    col_cnt_list.append([len(td2), len(td1)])

                    # # 计算合并重复文本格子后的列数
                    # last_text = td1[0].text
                    # merge_td1 = [last_text]
                    # for td in td1:
                    #     if td.text == last_text:
                    #         continue
                    #     else:
                    #         merge_td1.append(td.text)
                    #         last_text = td.text
                    # last_text = td2[0].text
                    # merge_td2 = [last_text]
                    # for td in td2:
                    #     if td.text == last_text:
                    #         continue
                    #     else:
                    #         merge_td2.append(td.text)
                    #         last_text = td.text
                    # merge_col_cnt_list.append([len(merge_td2), len(merge_td1)])

                # 判断
                new_c_list = [c_list[0]]
                # print('col_cnt_list', col_cnt_list)
                for i in range(len(col_cnt_list) - 1):
                    if col_cnt_list[i][1] != col_cnt_list[i + 1][0]:
                            # and merge_col_cnt_list[i][1] != merge_col_cnt_list[i + 1][0]:
                        connect_pages_list2.append(new_c_list)
                        new_c_list = [c_list[i + 1]]
                    else:
                        new_c_list.append(c_list[i + 1])
                if new_c_list:
                    connect_pages_list2.append(new_c_list)

        print('connect_pages_list2', connect_pages_list2)

        # 符合连接条件的拼接表格
        new_html_list = []
        for c_list in connect_pages_list2:
            if len(c_list) == 1:
                new_html_list.append(html_list[c_list[0][0]])
                continue
            new_html = ''
            for c in c_list:
                # 加#@#@#防止替换错表格
                new_html += html_list[c[0]] + '#@#@#'
            new_html = new_html[:-5]
            # ([-/第页0-9]|<div>|</div>)*
            new_html = re.sub('</table>((<div>[-/第页0-9,，]*</div>#@#@#)|(#@#@#<div>[^<]*</div>)|#@#@#)<table border="1">',
                              '<tr><td>#@#@#</td></tr>',
                              new_html)
            # print('new_html', new_html)

            soup = BeautifulSoup(new_html, 'lxml')
            trs = soup.findAll('tr')
            for i in range(len(trs)):
                if trs[i].get_text() == '#@#@#':
                    td1 = trs[i - 1].findAll('td')
                    td2 = trs[i + 1].findAll('td')
                    if td2[0].get_text() == '':
                        for j in range(len(td1)):
                            td1[j].string = td1[j].get_text() + td2[j].get_text()
                        trs[i + 1].decompose()
                    trs[i].decompose()
            new_html = str(soup)
            new_html_list.append(new_html)

        html_str = ''
        for h in new_html_list:
            html_str += h
        return [html_str]

    def get_html(self):
        if self._doc.error_code is not None:
            return self._doc.error_code

        self.convert()

        if self._doc.error_code is not None:
            return self._doc.error_code
        html = self._doc.get_html(return_list=True)
        # 表格连接
        try:
            html = self.connect_table(html)
        except:
            traceback.print_exc()
            return [-12]
        return html

    def delete_water_mark(self, lt_text_list, page_bbox, times=5):
        # 删除过多重复字句，为水印
        duplicate_dict = {}
        for _obj in lt_text_list:
            t = _obj.get_text()
            if t in duplicate_dict.keys():
                duplicate_dict[t][0] += 1
                duplicate_dict[t][1].append(_obj)
            else:
                duplicate_dict[t] = [1, [_obj]]
        delete_text = []
        for t in duplicate_dict.keys():
            if duplicate_dict[t][0] >= times:
                obj_list = duplicate_dict[t][1]
                obj_list.sort(key=lambda x: x.bbox[3])
                obj_distance_h = abs(obj_list[-1].bbox[3] - obj_list[0].bbox[1])
                obj_list.sort(key=lambda x: x.bbox[2])
                obj_distance_w = abs(obj_list[-1].bbox[2] - obj_list[0].bbox[0])
                if obj_distance_h >= abs(page_bbox[1] - page_bbox[3]) * 0.7 \
                        and obj_distance_w >= abs(page_bbox[0] - page_bbox[2]) * 0.7:
                    delete_text.append(t)
        temp_text_list = []
        for _obj in lt_text_list:
            t = _obj.get_text()
            if t not in delete_text:
                temp_text_list.append(_obj)
        return temp_text_list

    def resize_image(self, img_path, max_size=2000):
        _img = cv2.imread(img_path)
        if _img.shape[0] <= max_size or _img.shape[1] <= max_size:
            return
        else:
            resize_axis = 0 if _img.shape[0] >= _img.shape[1] else 1
            ratio = max_size / _img.shape[resize_axis]
            new_shape = [0, 0]
            new_shape[resize_axis] = max_size
            new_shape[1 - resize_axis] = int(_img.shape[1 - resize_axis] * ratio)
            _img = cv2.resize(_img, (new_shape[1], new_shape[0]))
            cv2.imwrite(img_path, _img)

    def get_single_pdf(self, path, page_no):
        log("into get_single_pdf")
        try:
            pdf_origin = copy.deepcopy(self.doc_pypdf2)
            pdf_new = copy.deepcopy(self.doc_pypdf2_new)
            pdf_new.addPage(pdf_origin.getPage(page_no))

            path_new = path.split(".")[0] + "_split.pdf"
            with open(path_new, "wb") as ff:
                pdf_new.write(ff)
            return path_new
        except PyPDF2.utils.PdfReadError as e:
            return [-3]
        except Exception as e:
            log("get_single_pdf error! page " + str(page_no))
            return [-3]


def get_text_font():
    def flags_decomposer(flags):
        """Make font flags human readable."""
        l = []
        if flags & 2 ** 0:
            l.append("superscript")
        if flags & 2 ** 1:
            l.append("italic")
        if flags & 2 ** 2:
            l.append("serifed")
        else:
            l.append("sans")
        if flags & 2 ** 3:
            l.append("monospaced")
        else:
            l.append("proportional")
        if flags & 2 ** 4:
            l.append("bold")
        return ", ".join(l)

    def get_underlined_textLines(page):
        """
        获取某页pdf上的所有下划线文本信息
        :param page: fitz中的一页
        :return: list of tuples,每个tuple都是一个完整的下划线覆盖的整体：[(下划线句, 所在blk_no, 所在line_no), ...]
        """
        paths = page.get_drawings()  # get drawings on the current page

        # 获取该页内所有的height很小的bbox。因为下划线其实大多是这种矩形
        # subselect things we may regard as lines
        lines = []
        for p in paths:
            for item in p["items"]:
                if item[0] == "l":  # an actual line
                    p1, p2 = item[1:]
                    if p1.y == p2.y:
                        lines.append((p1, p2))
                elif item[0] == "re":  # a rectangle: check if height is small
                    r = item[1]
                    if r.width > r.height and r.height <= 2:
                        lines.append((r.tl, r.tr))  # take top left / right points

        # 获取该页的`max_lineheight`，用于下面比较距离使用
        blocks = page.get_text("dict", flags=11)["blocks"]
        max_lineheight = 0
        for b in blocks:
            for l in b["lines"]:
                bbox = fitz.Rect(l["bbox"])
                if bbox.height > max_lineheight:
                    max_lineheight = bbox.height

        underlined_res = []
        # 开始对下划线内容进行查询
        # make a list of words
        words = page.get_text("words")
        # if underlined, the bottom left / right of a word
        # should not be too far away from left / right end of some line:
        for wdx, w in enumerate(words):  # w[4] is the actual word string
            r = fitz.Rect(w[:4])  # first 4 items are the word bbox
            for p1, p2 in lines:  # check distances for start / end points
                if abs(r.bl - p1) <= max_lineheight:  # 当前word的左下满足下划线左下
                    if abs(r.br - p2) <= max_lineheight:  # 当前word的右下满足下划线右下（单个词，无空格）
                        print(f"Word '{w[4]}' is underlined! Its block-line number is {w[-3], w[-2]}")
                        underlined_res.append((w[4], w[-3], w[-2]))  # 分别是(下划线词，所在blk_no，所在line_no)
                        break  # don't check more lines
                    else:  # 继续寻找同line右侧的有缘人，因为有些下划线覆盖的词包含多个词，多个词之间有空格
                        curr_line_num = w[-2]  # line nunmber
                        for right_wdx in range(wdx + 1, len(words), 1):
                            _next_w = words[right_wdx]
                            if _next_w[-2] != curr_line_num:  # 当前遍历到的右侧word已经不是当前行的了（跨行是不行的）
                                break
                            _r_right = fitz.Rect(_next_w[:4])  # 获取当前同行右侧某word的方框4点
                            if abs(_r_right.br - p2) <= max_lineheight:  # 用此word右下点和p2(目标下划线右上点)算距离，距离要小于max_lineheight
                                print(
                                    f"Word '{' '.join([_one_word[4] for _one_word in words[wdx:right_wdx + 1]])}' is underlined! " +
                                    f"Its block-line number is {w[-3], w[-2]}")
                                underlined_res.append(
                                    (' '.join([_one_word[4] for _one_word in words[wdx:right_wdx + 1]]),
                                     w[-3], w[-2])
                                )  # 分别是(下划线词，所在blk_no，所在line_no)
                                break  # don't check more lines
        return underlined_res

    _p = r'C:\Users\Administrator\Desktop\test_pdf\error2-2.pdf'
    doc_pymupdf = read_pymupdf(_p)
    page = doc_pymupdf[0]
    blocks = page.get_text("dict", flags=11)["blocks"]
    for b in blocks:  # iterate through the text blocks
        for l in b["lines"]:  # iterate through the text lines
            for s in l["spans"]:  # iterate through the text spans
                print("")
                font_properties = "Font: '%s' (%s), size %g, color #%06x" % (
                    s["font"],  # font name
                    flags_decomposer(s["flags"]),  # readable font flags
                    s["size"],  # font size
                    s["color"],  # font color
                )
                print(s)
                print("Text: '%s'" % s["text"])  # simple print of text
                print(font_properties)

    get_underlined_textLines(page)


# 以下为现成pdf单页解析接口
class ParseSentence:

    def __init__(self, bbox, fontname, fontsize, _text, _title, title_text, _pattern, title_degree, is_outline,
                 outline_location, page_no):
        (x0, y0, x1, y1) = bbox
        self.x0 = x0
        self.y0 = y0
        self.x1 = x1
        self.y1 = y1
        self.bbox = bbox
        self.fontname = fontname
        self.fontsize = fontsize
        self.text = _text
        self.title = _title
        self.title_text = title_text
        self.groups = _pattern
        self.title_degree = title_degree
        self.is_outline = is_outline
        self.outline_location = outline_location
        self.page_no = page_no

    def __repr__(self):
        return "%s,%s,%s,%d,%s" % (self.text, self.title, self.is_outline, self.outline_location, str(self.bbox))


class ParseUtils:

    @staticmethod
    def getFontinfo(_page):
        for _obj in _page._objs:
            if isinstance(_obj, (LTTextBoxHorizontal, LTTextBoxVertical)):
                for textline in _obj._objs:
                    done = False
                    for lchar in textline._objs:
                        if isinstance(lchar, (LTChar)):
                            _obj.fontname = lchar.fontname
                            _obj.fontsize = lchar.size
                        done = True
                        break
                    if done:
                        break

    @staticmethod
    def recognize_sentences(list_textbox, filter_objs, page_bbox, page_no,
                            remove_space=True, sourceP_LB=True):

        list_textbox.sort(key=lambda x: x.bbox[0])
        list_textbox.sort(key=lambda x: x.bbox[3], reverse=sourceP_LB)

        cluster_textbox = []
        for _textbox in list_textbox:
            if _textbox in filter_objs:
                continue

            _find = False
            for _ct in cluster_textbox:
                if abs(_ct["y"] - _textbox.bbox[1]) < 5:
                    _find = True
                    _ct["textbox"].append(_textbox)
            if not _find:
                cluster_textbox.append({"y": _textbox.bbox[1], "textbox": [_textbox]})

        cluster_textbox.sort(key=lambda x: x["y"], reverse=sourceP_LB)
        list_sentences = []
        for _line in cluster_textbox:
            _textboxs = _line["textbox"]
            _textboxs.sort(key=lambda x: x.bbox[0])

            _linetext = _textboxs[0].get_text()
            for _i in range(1, len(_textboxs)):
                if abs(_textboxs[_i].bbox[0] - _textboxs[_i - 1].bbox[2]) > 60:
                    if _linetext[-1] not in (",", "，", "。", ".", "、", "；"):
                        _linetext += "=，="
                _linetext += _textboxs[_i].get_text()

            _linetext = re.sub("[\s\r\n]", "", _linetext)
            _bbox = (_textboxs[0].bbox[0], _textboxs[0].bbox[1],
                     _textboxs[-1].bbox[2], _textboxs[-1].bbox[3])

            _title = None
            _pattern_groups = None
            title_text = ""
            if not _title:
                _groups = ParseUtils.find_title_by_pattern(_textboxs[0].get_text())
                if _groups:
                    _title = _groups[0][0]
                    title_text = _groups[0][1]
                    _pattern_groups = _groups
            if not _title:
                _groups = ParseUtils.find_title_by_pattern(_linetext)
                if _groups:
                    _title = _groups[0][0]
                    title_text = _groups[0][1]
                    _pattern_groups = _groups
            if not _title:
                _title = ParseUtils.rec_incenter(_bbox, page_bbox)

            title_degree = 2
            if not _title:
                _linetext = _linetext.replace("=，=", "，")
            else:
                _linetext = _linetext.replace("=，=", "")
                title_degree = int(_title.split("_")[1])

            # 页码
            if ParseUtils.rec_incenter(_bbox, page_bbox) and re.search("^\d+$", _linetext) is not None:
                continue

            if _linetext == "" or re.search("^，+$", _linetext) is not None:
                continue

            is_outline = False
            outline_location = -1
            _search = re.search("(?P<text>.+?)\.{5,}(?P<nums>\d+)$", _linetext)
            if _search is not None:
                is_outline = True
                _linetext = _search.group("text")
                outline_location = int(_search.group("nums"))

            list_sentences.append(
                ParseSentence(_bbox, _textboxs[-1].__dict__.get("fontname"), _textboxs[-1].__dict__.get("fontsize"),
                              _linetext, _title, title_text, _pattern_groups, title_degree, is_outline,
                              outline_location, page_no))

        # for _sen in list_sentences:
        #     print(_sen.__dict__)

        return list_sentences

    @staticmethod
    def find_title_by_pattern(_text,
                              _pattern="(?P<title_1>(?P<title_1_index_0_0>^第?)(?P<title_1_index_1_1>[一二三四五六七八九十ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]+)(?P<title_1_index_2_0>[、章]))|" \
                                       "(?P<title_3>^(?P<title_3_index_0_1>[ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]+))|" \
                                       "(?P<title_4>^(?P<title_4_index_0_0>第?)(?P<title_4_index_1_1>[一二三四五六七八九十]+)(?P<title_4_index_2_0>[节]))|" \
                                       "(?P<title_11>^(?P<title_11_index_0_0>\d{1,2}[\.．、\s\-]\d{1,2}[\.．、\s\-]\d{1,2}[\.．、\s\-])(?P<title_11_index_1_1>\d{1,2})(?P<title_11_index_2_0>[\.．、\s\-]))|" \
                                       "(?P<title_10>^(?P<title_10_index_0_0>\d{1,2}[\.．、\s\-]\d{1,2}[\.．、\s\-])(?P<title_10_index_1_1>\d{1,2})(?P<title_10_index_2_0>[\.．、\s\-]))|" \
                                       "(?P<title_7>^(?P<title_7_index_0_0>\d{1,2}[\.．、\s\-])(?P<title_7_index_1_1>\d{1,2})(?P<title_7_index_2_0>[\.．、\s\-]))|" \
                                       "(?P<title_6>^(?P<title_6_index_0_1>\d{1,2})(?P<title_6_index_1_0>[\.．、\s\-]))|" \
                                       "(?P<title_15>^(?P<title_15_index_0_0>（?)(?P<title_15_index_1_1>\d{1,2})(?P<title_15_index_2_0>）))|" \
                                       "(?P<title_17>^(?P<title_17_index_0_0>（?)(?P<title_17_index_1_1>[a-zA-Z]+)(?P<title_17_index_2_0>）))|"
                                       "(?P<title_19>^(?P<title_19_index_0_0>（?)(?P<title_19_index_1_1>[一二三四五六七八九十ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]+)(?P<title_19_index_2_0>）))|" \
                              ):
        _se = re.search(_pattern, _text)
        groups = []
        if _se is not None:
            _gd = _se.groupdict()
            for k, v in _gd.items():
                if v is not None:
                    groups.append((k, v))
        if len(groups):
            groups.sort(key=lambda x: x[0])
            return groups
        return None

    @staticmethod
    def rec_incenter(o_bbox, p_bbox):
        p_width = p_bbox[2] - p_bbox[0]
        l_space = (o_bbox[0] - p_bbox[0]) / p_width
        r_space = (p_bbox[2] - o_bbox[2]) / p_width

        if abs((l_space - r_space)) < 0.1 and l_space > 0.2:
            return "title_2"

    @staticmethod
    def is_first_title(_title):
        if _title is None:
            return False
        if re.search("^\d+$", _title) is not None:
            if int(_title) == 1:
                return True
            return False
        if re.search("^[一二三四五六七八九十百]+$", _title) is not None:
            if _title == "一":
                return True
            return False
        if re.search("^[a-z]+$", _title) is not None:
            if _title == "a":
                return True
            return False
        if re.search("^[A-Z]+$", _title) is not None:
            if _title == "A":
                return True
            return False
        if re.search("^[ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]$", _title) is not None:
            if _title == "Ⅰ":
                return True
            return False
        return False

    @staticmethod
    def get_next_title(_title):
        if re.search("^\d+$", _title) is not None:
            return str(int(_title) + 1)
        if re.search("^[一二三四五六七八九十百]+$", _title) is not None:
            _next_title = ParseUtils.make_increase(['一', '二', '三', '四', '五', '六', '七', '八', '九', '十'],
                                                   re.sub("[十百]", '', _title))
            _next_title = list(_next_title)
            _next_title.reverse()
            if _next_title[-1] != "十":
                if len(_next_title) >= 2:
                    _next_title.insert(-1, '十')
            if len(_next_title) >= 4:
                _next_title.insert(-3, '百')
            if _title[0] == "十":
                if _next_title == "十":
                    _next_title = ["二", "十"]
                _next_title.insert(0, "十")
            _next_title = "".join(_next_title)
            return _next_title
        if re.search("^[a-z]+$", _title) is not None:
            _next_title = ParseUtils.make_increase([chr(i + ord('a')) for i in range(26)], _title)
            _next_title = list(_next_title)
            _next_title.reverse()
            return "".join(_next_title)
        if re.search("^[A-Z]+$", _title) is not None:
            _next_title = ParseUtils.make_increase([chr(i + ord('A')) for i in range(26)], _title)
            _next_title = list(_next_title)
            _next_title.reverse()
            return "".join(_next_title)
        if re.search("^[ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]$", _title) is not None:
            _sort = ["Ⅰ", "Ⅱ", "Ⅲ", "Ⅳ", "Ⅴ", "Ⅵ", "Ⅶ", "Ⅷ", "Ⅸ", "Ⅹ", "Ⅺ", "Ⅻ"]
            _index = _sort.index(_title)
            if _index < len(_sort) - 1:
                return _sort[_index + 1]
            return None

    @staticmethod
    def make_increase(_sort, _title, _add=1):
        if len(_title) == 0 and _add == 0:
            return ""
        if len(_title) == 0 and _add == 1:
            return _sort[0]
        _index = _sort.index(_title[-1])
        next_index = (_index + _add) % len(_sort)
        next_chr = _sort[next_index]
        if _index == len(_sort) - 1:
            _add = 1
        else:
            _add = 0
        return next_chr + ParseUtils.make_increase(_sort, _title[:-1], _add)

    @staticmethod
    def rec_serial(_text, o_bbox, p_bbox, fontname, _pattern="(?P<title_1>^[一二三四五六七八九十]+[、])|" \
                                                             "(?P<title_2>^\d+[\.、\s])|" \
                                                             "(?P<title_3>^\d+\.\d+[\.、\s])|" \
                                                             "(?P<title_4>^\d+\.\d+\.\d+[\.、\s])|" \
                                                             "(?P<title_5>^\d+\.\d+\.\d+\.\d+[\.、\s])"):
        # todo :recog the serial of the sentence

        _se = re.search(_pattern, _text)
        if _se is not None:
            _gd = _se.groupdict()
            for k, v in _gd.items():
                if v is not None:
                    return k
        return None


if __name__ == '__main__':
    # get_text_font()
    PDFConvert(r"C:/Users/Administrator/Downloads/1651896704621.pdf", "C:/Users/Administrator/Downloads/1").get_html()

    # print(b'\x10')