PaperText_Segmentation/Utils/htmlwashutil.py

#!/usr/bin/env/python
# -*- coding:utf-8 -*-

# 本文件包含以下函数
# table_label_cleal：去掉表格中的换行符
# html_cleal ：html文件清洗
# wash_after: 处理最终结果多余的换行符
import datetime
import re
import shutil
# from operator import itemgetter
# from itertools import groupby
# from PIL import Image
import base64, os, random
import time
import hashlib
from pprint import pprint
# from bs4 import BeautifulSoup
import Utils.train_configs as train_configs
from Utils.field_eq2latex import get_latex
from Utils.html_again_parse import css_label_wash
# from structure.structure_main import WordParseStructure


def table_label_cleal(con):
    """
    去掉表格中的【换行符】
    """
    # print(con)
    # print('------------------------------------------')
    con = re.sub(r"\n(\s|\n|\t)+", "\n", con)
    count = 1
    while re.search(r"</?[a-z]+>\n(</?[a-z]+>|<td\s+\n*[a-z=\"\d]+>)", con, re.S) and count <= 10:
        con = re.sub("(</?t[dr]>|</?table>|</?tbody>|</?div>)\n(</?t[dr]>|</div>|</?table>|</?tbody>|<p>)",
                     r"\1\2", con, flags=re.S)
        con = re.sub(r'(</?t[rd]>)\n(<td\s.+?>)', r'\1\2', con, flags=re.S)
        count += 1
    # if re.search(r"<table>(.|\n)+?</table>", con, re.S|re.M):
    #     aa = re.search(r"(<table>(.|\n)+?</table>)", con, re.S|re.M)
    #     con = con.replace(aa.group(1),aa.group(1).replace("\n",""))

    # 将空表格的情况去掉
    con = re.sub(r'<table>[\s\n\t]*?<tbody>[\s\n\t]*?(<tr>[\s\n\t]*?<td[^<>]*?>[\s\n\t]*?<p>[\s\n\t]*?</p>'
                 r'[\s\n\t]*?</td>[\s\n\t]*?</tr>[\s\n\t]*?)+</tbody>[\s\n\t]*?</table>[\s\n\t]*?<p>', "", con,
                 flags=re.S)
    con = re.sub(r'(</table><p>)\s*([(（]\s*\d\s*[)）])', r'\1\n\2', con)
    return con


def base642img(html_data, wordid):
    """
    【基于mathjax渲染输出是css-html格式】
    将base64编码的图片保存到本地
    :return:
    """
    # 二进制图片进行转化， 按“word_id”建立文件夹
    # time_str = datetime.datetime.strftime(datetime.datetime.now(), '%Y_%m_%d')
    # file_path = configs.IMG_FOLDER + '/' + str(self.wordid)
    # if not os.path.exists(file_path):
    #     os.makedirs(file_path)
    # else:
    # 思路1：删除图片,重建文件夹，【所有的新图片都是以base64格式传过来的】
    # shutil.rmtree(file_path)
    # os.makedirs(file_path)
    # 思路2：每一次再解析都将base64图片保存到本地再以路径形式返回
    # st = len(os.listdir(file_path))  # 不要以序号索引的形式命名

    # 统计所有base64编码
    all_base64_image = re.findall(r'(<img ([a-z]+="[^"]*?" )?src="(data:image[^>"]+?)"(.*?)\s*/?>)', str(html_data), flags=re.S)
    if all_base64_image:
        file_path = train_configs.IMG_FOLDER + '/' + str(wordid)
        if not os.path.exists(file_path):
            os.makedirs(file_path)
        # 新图片命名
        name_list = random.sample(range(100000, 999999), len(all_base64_image))
        for n, img in enumerate(all_base64_image):
            img1 = img[2].split(",", maxsplit=1)
            img_type_info = re.search("data:image/(.+?);base64", img1[0])
            img_type = img_type_info.group(1) if img_type_info else ""
            # 可能还有alt和style的属性，暂时先不要
            w_info = re.search('( width="\d+")', img[3])
            h_info = re.search('( height="\d+")', img[3])
            img_data = base64.b64decode(str(img1[-1]))
            if img_type:
                # save_path = os.path.join(configs.new_img_ip, get_md5(n)+"."+img_tape)
                img_name = "new_image" + str(int(time.time())) + str(name_list[n]) + "." + img_type
                save_path = os.path.join(file_path, img_name)
                with open(save_path, 'wb') as f:
                    f.write(img_data)
                # self.localnewpic_list.append(save_path)
                # put_key = "/zyk/uploadfiles/wording/" + str(self.wordid) + "/{}".format(img_name)
                # self.put_key_list.append(save_path)
                flag_behind = '" />'
                if w_info and h_info:
                    flag_behind = '"' + w_info.group(1) + h_info.group(1) + ' />'
                temp_img = '<img src="' + train_configs.new_img_ip + '/' + str(wordid) + '/' + img_name + flag_behind
                # new_img = '<img src="http://' + configs.public_bucket_addr + put_key + '" />'
                html_data = html_data.replace(img[0], temp_img)
    return html_data


class HtmlWash():
    def __init__(self, html, wordid, is_reparse=0, img_url="", must_latex=0):
        """
        html文本清洗
        批量再解析中，新增图片信息替换的文本返回作为ocr保存文本，
        继续往下清洗的文本，则进入结构化解析逻辑中
        """
        # super().__init__(html, wordid, is_reparse, must_latex)
        self.html = html
        self.img_url = img_url
        self.wordid = wordid
        self.is_reparse = is_reparse
        self.must_latex = must_latex
        # self.put_key_list = []
        # self.localnewpic_list =[]
        self.sub_list = ["</?div>", "</?b>", "</?caption>", "</?center>", "</?cite>", "</?code>", "</?colgroup>",
                    "</?menu>", "</?dd>", "</?dir>", "</?li>", "</?em>", "</?article>", "</?header>", "</?ruby>",
                    "</?summary>", "</?details>", "</?strong>", "</?strike>", "</?small>", "</?select>",
                    "</?section>", "</?script>", "</?[su]>", "</?var>", "</?ul>", "</?tt>", "</?title>", "</?thead>",
                    "</?tfoot>", "<hr />", "<hr>", ""]
        self.sub_dd = {'&times;': '×',
                  '&divide;': '÷',
                  '&deg;': '°',
                  '&middot;': '·',
                  '&plusmn;': '±',
                  '&ordm;': 'º',
                  '&sup1;': '¹',
                  '&sup2;': '²',
                  '&sup3;': '³',
                  '&frac12;': '1/2',
                  '&frac14;': '¼',
                  '&frac34;': '¾',
                  '&yen;': '¥',
                  'm&sup3;': 'm³',
                  # '&lt;': '<',
                  '&pound;': '£',
                  # '∠&lt;': '&lt;',
                  '&gt;': '>',
                  "Ａ": "A",
                  "А": "A",
                  "Α": "A",
                  "Ｂ": "B",
                  "В": "B",
                  "в": "B",
                  "Β": "B",
                  "Ｃ": "C",
                  "С": "C",
                  "ｃ": "c",
                  "с": "c",
                  "Ｄ": "D",
                  "Ε": "E",
                  "Ｅ": "E",
                  "Ｆ": "F",
                  "Ｇ": "G",
                  "ｇ": "g",
                  "ｍ": "m",
                  "Ｎ": "N",
                  "ｓ": "s",
                  "ｔ": "t",
                  "／": "/",
                  "＝": "=",
                  "－": "-",
                  "２": "2", "３": "3", "４":"4", "５":"5", "６":"6",
                  "７": "7", "８": "8", "９":"9", "１":"1", "０":"0",
                  '&nbsp;&nbsp;': ' ',
                  '&nbsp;': ' ',
                  "〖": '【',
                  "〗": '】',
                  "題": '题',
                  "单项选择": '单选',
                  "多项选择": '多选',
                  # "不定项选择": '选择',
                  "双项选择": '多选',
                  "实验与探究题": '实验',
                  "原理综合题": '原理题',
                  }

    def new_pic_sub(self):
        """
        针对base64图片先保存到本地，入库时再换成腾讯云线上地址
        # 第一版：再解析中，将二进制图片进行转化,图片怎么保存比较好，先再“天数”建立文件夹
        第一版：再解析中，根据“word_id”建立文件夹
        :return:
        """
        if self.is_reparse:
            # css 标签清洗
            self.html = css_label_wash(self.html)
            # 保存base64编码的图片
            self.html = base642img(self.html, self.wordid)
        self.new_html = self.html


    def html_cleal(self):
        # =======清洗mathjax标签========
        if "MathJax" in self.html:  # 再解析中存在mathjax公式渲染的标签
            all_mathjax = re.findall('(<span class="MathJax_Preview".*?</script>(</span>)*)', self.html)
            for jax in all_mathjax:
                latex = re.findall('<script .+?">(((?!(</)).)*?)</script>(</span>)*', jax[0])
                if latex:
                    latex = "${}$".format(latex[0][0])
                    self.html = self.html.replace(jax[0], latex)
                else:
                    self.html = self.html.replace(jax[0], "")

        # ======再解析中的新图片处理=====
        self.new_pic_sub()

        # =====特殊符号处理=====
        html2txt = re.sub(r"|".join(self.sub_list), "", str(self.html))  # ("", " ")   #2020/4/7
        html2txt = re.sub("|".join(self.sub_dd.keys()), lambda x: self.sub_dd[x.group()], html2txt)  # 2020/4/1,4/7,4/20
        html2txt = re.sub("[不非]定[向项]选择", "不定选择", html2txt)
        html2txt = html2txt.replace(r"\\[{\\text{V}}V\]", "Ⓥ").replace(r"\\[{\\text{A}}A\]", "Ⓐ") \
            .replace(r"\\[{\\text{W}}W\]", "Ⓦ").replace(r"\\[{\\text{X}}X\]", "Ⓧ").replace(r"\\[{\\text{G}}G\]", "Ⓖ") \
            .replace("\uf067", "γ").replace('', "γ").replace('\uf020', "").replace("\u3000", " ")\
            .replace("\u2003", " ").replace("\x7f", " ").replace("\xa0", "")
        html2txt = re.sub(r"(<p>\s*)【例题(\d+)】", r"\1\2、", html2txt)
        html2txt = re.sub(r"\\\(|\\\)", "$", html2txt)

        # 域公式的转化处理；<sub>\<sup>可以在前端显示，不需要用latex渲染
        try:
            html2txt, newhml = get_latex(html2txt, self.is_reparse, self.wordid, self.must_latex)
            if newhml:  # 存在域公式转图片时，需要将原文本的域公式也转为图片信息
                self.new_html = newhml
            html2txt = html2txt.replace("【omml-latex】", "")
        except:
            html2txt = html2txt.replace("【omml-latex】", "")

        # 字符串公式的处理：如Fe<sub>2</sub>O<sub>3</sub>, 在结构化之后处理比较好
        # <br/>处理
        html2txt = re.sub(r"<br\s*/?>", "\n", html2txt)
        html2txt = re.sub(r"[（(]\s*(\d)\s*\$分\s*[)）]", r"$(\1分)", html2txt)

        # =====题型行的统一处理=====
        # ---->>>>>题型行可能放在表格中
        if len(re.findall("</table>", html2txt)) >= 8:  # 这个限制还不太严谨
            for tt in re.finditer('<tr>(((?!(</?tr>)).)*)</tr>', html2txt, re.S):
                tt_list = re.split(r'^\s*<td[^<>]*?>|</p></td>|</td>[\n\s]*?<td[^<>]*?>'
                                   r'|</td>\s*\n|</td>\s*$|\n\s*<td[^<>]*?>|<td[^<>]*?><p>',
                                   tt.group(1).strip())  # </td>\s*[$\n]这样无效
                tt_list = [col for col in tt_list if col.strip()]
                if " ".join(tt_list).replace(" ", "") in ['得分评卷人', '评卷人得分']:
                    html2txt = html2txt.replace(tt.group(0), "")
                else:
                    pass
                    # html2txt = html2txt.replace(tt.group(0), "<p>" + " ".join(tt_list) + "</p>")
                # html2txt = re.sub(r"</?tbody>|</?table>|</?div>", "", html2txt)
        # ---->>>>>end
        html2txt = re.sub(r"(</table>)\s*([一二三四五六七八九十]\s*[、.．､：:]?.{2,6}题)", r"\1</p>\2", html2txt)
        html2txt = re.sub(r'([一二三四五六七八九十])\s*[、.．､，,：:]\s*(论述|填空|探究)题?[与和､、，,\s]*?(计算题|实验题)', r"\1､\3", html2txt)
        html2txt = re.sub(r'<td[^<>]*?><p>(([一二三四五六七八九十])\s*[、.．､，,：:]\s*(.{2,4}题)\s*</p>)</td>[^p]*?<p>', r"\1",
                          str(html2txt), flags=re.S)
        html2txt = re.sub(r"<p>\s*([一二三四五六七八九十])\s*[、.．､,，：:]?\s*(计算|[解简]答|实验|作图)题?[与和、､，,\s]*?(计算|[解简]答|实验|作图)",
                          r"<p>\1､\2题", html2txt)
        html2txt = re.sub(r'<p>\s*[(（]\s*[一二三四五六]\s*[)）]\s*必考题\s*(.?|.+?分\s*[.。．]?)\s*</p>', "", html2txt)
        html2txt = re.sub(r'<p>\s*[(（]\s*[一二三四五六]\s*[)）]\s*选考题\s*.?\s*.{,4}(?<!\d)(\d+分)\s*[,，。].{,50}</p>',
                          r"<p>【选做题】:'\1'</p>", html2txt)
        html2txt = re.sub(r'<p>\s*[(（]\s*[一二三四五六]\s*[)）]\s*选考题\s*(.?|.+?分\s*[.。．]?)\s*</p>', "<p>【选做题】</p>", html2txt)
        html2txt = re.sub(r'<p>\s*([一二三四五六七八九十])\s*[、.．､，,：:]?\s*(单项?选择?|非?选择|多项?选择?|不定选择|填空|计算|[解简]答|实验|作图)题?\s*</p>',
                          r"<p>\1､\2题</p>", html2txt)
        html2txt = re.sub(r'([一二三四五六七八九十])\s*[、.．､，,：:]?\s*(单选|单项选择|选择|不定选择|多选|多项选择|填空|计算|[解简]答|实验|作图)\s*(?!题)'
                          r'([(（]\s*本题|.*?\d分)', r"\1" + "､" + r'\2' + "题" + r"\3", html2txt)
        html2txt = re.sub(r'([一二三四五六])\s*[、.．､，,:：]?\s*(单选|单项选择|非?选择|不定选择|多选|多项选择|填空|计算|[解简]答|实验|作图)题',
                          r"\1" + "､" + r'\2' + "题", html2txt)
        # html2txt = re.sub(r'([一二三四五六七八九十])\s*[、.．､，,：:]?\s*[(（]\s*本大题(.*?选项中)', r"\1" + "､" + "选择题", html2txt)  # + r"\2"
        # html2txt = re.sub(r'<p>\s*([一二三四五六七八九十])\s*[、.．､，,]?\s*[(（本大题]*?(.*?选项中)', r"\1" + "､" + "选择题", html2txt)
        html2txt = re.sub(r'([一二三四五六七八九十])\s*[、.．､，,：:]?\s*([(（]\s*(每小题|本大?题)((?!(选项)).)+?[）)]|综合题)',
                          r"\1" + "､" + "解答题", html2txt)
        html2txt = re.sub(r'(?<!<p>)\s*([一二三四五六七八九十]\s*[、.．､，,：:]?\s*(单项?选择?|选择|不定选择|多项?选择?|填空|计算|[解简]答|实验|作图)题)',
                          r'</p>\n<p>\1', html2txt)
        html2txt = re.sub(r'<p>\s*([一二三四五六七八九十])\s*[、.．､，,：:]?\s*[(（]?本?大?题((?!(选项)).)+?[)）]?\s*</p>', r"<p>\1､本大题</p>",
                          html2txt)
        # html2txt = re.sub(r'<p>\s*[^一二三四五六七八九十]{,3}\s*[、.．､]\s*(选择|不定选择|单选|多选|计算|[解简]答|实验|作图)题', r"<p>一､\1题", html2txt)

        # =====图片的处理=====
        # 1>>根据图片宽高的异常值判断删除隐藏图片
        def sub1(ss):
            if float(ss.group(1)) <= 3 and float(ss.group(2)) <= 3:
                return ""
            else:
                return ss.group(0)
        html2txt = re.sub(r'<img src=.*? width="([\d.]+)p[xt]" height="([\d.]+)p[xt]"\s*/?>', sub1, html2txt)

        # 2>>将图片中带有的汉字去掉
        html2txt = re.sub(r'(<img src=.*?) alt=".+?"', r"\1", html2txt)
        # html2txt = re.sub(r'(<img src=.+?(?<!\\)\")>', r"\1 />", html2txt)  # 将">换为" />
        html2txt = re.sub(r'(<img src=(?!\sstyle=)+?(?<!\\)\")>', r"\1 />", html2txt)  # 将">换为" />

        # =====答案解析关键字的统一处理=====
        html2txt = re.sub(r'【\s*(<img src=((?!/>).)+?/>\s*)*?([解答])\s*(<img src=((?!/>).)+?/>\s*)*?([析案])\s*'
                          r'(<img src=((?!/>).)+?/>\s*)*?】', r"【\3\6】", str(html2txt))  # 2022/4/28
        html2txt = re.sub(r'<p>\s*(解\s*[：:])', r"<p>【解答】", str(html2txt))
        html2txt = re.sub(r'【[^【】]*?(答案|[解分][析答]|详解|点[评睛])[^【】]*?】', r"【\1】", str(html2txt))
        html2txt = re.sub(r'(\n\s*|<p>\s*|\s{2,}|\n\s*\d{,2}\s*[、.．､]\s*)(答案|解析|解答|详解|点评|点睛|考点|专题)\s*[：:]', r"\1【\2】", str(html2txt))
        html2txt = re.sub(r'(\n|^|<p>)\s*(([1-9]|[1-9][0-9])\s*[.．、､])?\s*\[\s*(答案|解析|解答|详解|点评|点睛|考点|专题)\s*\]',
                          r"\1\2【\4】", str(html2txt))
        html2txt = re.sub(r'([A-D])\s*\[\s*(解析|解答|详解|点评|点睛|考点|专题)\s*\]', r"\1\n【\2】", str(html2txt))
        html2txt = re.sub(r'(\n|^|<p>)\s*(分析)\s*[：:]', r"【\2】", str(html2txt))
        if "【解析】" not in html2txt and "【解答】" in html2txt and "【分析】" not in html2txt:
            html2txt = re.sub(r'【解答】', "【解析】", str(html2txt))

        # =====其他关键字的处理=====
        html2txt = re.sub(r'<p>\s*(类型|知识点|考查角度|拔尖角度)[一二三四五六七八九十\d+][^p]*?</p>', "", str(html2txt))
        html2txt = re.sub(r'<p>\s*(选修[\d-]*?[：:].{2,15})\s*</p>', r"<p>【章节】\1</p>", html2txt)
        html2txt = re.sub(r'<p>\s*([一二三四五六]\s*[、.．､]?)?\s*(\[.{2}-*?选修[\d-]*?.*?\])\s*([(（]\d+分[)）])?\s*</p>',
                          r"<p>【章节】\2</p>", html2txt)
        html2txt = re.sub(r'<p>\s*(基础|中档|综合)题[^p题]*?</p>|<p>\s*【(考点|专题)】[^p]*?</p>', "", str(html2txt))
        html2txt = re.sub(r'<p>\s*(基础训练|提升训练|探究培优)</p>', "", str(html2txt))
        html2txt = re.sub(r'<p>注意事项[:：]\s*</p>(\n+\s*<p>\s*\d\s*[、.．､][^/]+?</p>){1,}', "", html2txt, flags=re.S)
        html2txt = re.sub(r'<p>注意事项[:：]\s*\d\s*[、.．､][^/]+?</p>(\n+\s*<p>\s*\d\s*[、.．､][^/]+?</p>){1,}', "", html2txt,
                          flags=re.S)
        html2txt = re.sub(r'[(（]\s*([A-Z\dⅠⅡⅢⅣⅤ]+|IV)\s*[)）]', r"(\1)".replace(" ", "").replace("(IV)", "Ⅳ"), html2txt)
        html2txt = re.sub(r'[(（](\s*\d\s*\d?\s*分?\s*)[)）]', "(" + r'\1'.replace(" ", "") + ")", html2txt)
        html2txt = re.sub(r'\[来源:.*?\]', "", html2txt)
        html2txt = re.sub('<p>欢迎访问.*?</p>', '', html2txt)
        html2txt = re.sub('w\s*w\s*w\..*?(\.\s*c\s*o\s*m|\.cn)+|(?<!["“=\'])http:.*?\.(com|cn|org)', "",
                          html2txt)  # ww w.gkstk.c om
        html2txt = re.sub(r'<(table|tr) [a-z]+="\d+">', r'<\1>', html2txt)  # <td rowspan="2">保留
        html2txt = re.sub(r'<(table)( [a-z]+=".*?")+>', r'<\1>', html2txt)
        html2txt = re.sub(r'<p>\s*第\s*[二三四ⅡⅢⅣ]\s*(卷|部分)\s*([(（].*?[)）]|非?选择题.{,8})?\s*</p>', "<p>【非选择题】</p>", html2txt)
        # == == =对可能的题型行的处理 == ==
        html2txt = re.sub("<p>【非选择题】</p>((\s|\n|<p>|</p>)*\d{1,2}\s*[.．、､].+?)", r"<p>二、解答题</p>\1", html2txt)\
                .replace("【非选择题】", "")

        # =====选项的处理=====
        html2txt = re.sub(r'(<p>\s*([1-9]|[1-9][0-9])\s*[.．、､].+?[(（]\s*[）)])\s*(A\s*[.．、､][^/]*?</p>)',
                          r"\1</p>\n<p>\3", str(html2txt))

        # =====题号的处理=====
        html2txt = re.sub(r'([ED]\s*[、.．､].*?(\s|</su[pb]>\s*))(([1-9]|[1-9][0-9])\s*[、.．､])',
                          r"\1</p>\n<p>\3", html2txt)
        html2txt = re.sub(r'((</?p>|\n)\s*(<img src=.*?"\s*/?>\s*)?([1-9]|[1-9][0-9]))\s*'
                          r'([（(]\s*(\d{1,2}[.\s\d]*?分|.{2,3}题?)\s*[)）]|解析?\s*[:：]|【解析】)', r"</p>\1､\5", html2txt)
        html2txt = re.sub(r"<p>\s*([1-9]|[1-9][0-9])\s*([(（]20\d{2}\s*[\u4e00-\u9fa5、､]{2,9}[)）])", r"<p>\1､\2",
                          html2txt)
        html2txt = re.sub(r"<p>\s*([1-9]|[1-9][0-9])\s*(【(解析?|答案?)】|(解析?|答案?)\s*[:：]|\[(答案|解析)\])", r"<p>\1､\2",
                          html2txt)
        html2txt = re.sub(r"<p>\s*([1-9]|[1-9][0-9])\s*([(（]\s*\d+\s*分?\s*[)）])?(【(解析?|答案?)】|(解析?|答案?)\s*[:：]"
                          r"|\[(答案|解析)\])", r"<p>\1､\2\3", html2txt)
        # 图片和题号相连情况
        html2txt = re.sub(r"<p>\s*(<img src=((?!/>).)+?/>)\s*([1-9]|[1-9][0-9])\s*"
                          r"([(（]20\d{2}\s*[\u4e00-\u9fa5、､]{2,9}[)）])", r"<p>\3､\1\4", html2txt)  # 2024.5.6
        html2txt = re.sub(r'<p>((\s*<su[bp]>\s*)?<img src=.*? height="[\d.]+p[tx]"\s*/?>(\s*</su[bp]>)?\s*)'
                          r'(([1-9]|[1-9][0-9])\s*[、.．､])', r"<p>\4\1", html2txt)  # 2024.5.6
        html2txt = re.sub(r"(</p>|\n)\s*(<img src=((?!/>).)+?/>)\s*([1-9]|[1-9][0-9])\s*"
                          r"([(（]20\d{2}\s*[\u4e00-\u9fa5、､]{2,9}[)）])", r"<p>\2</p>" + "\n" + r"<p>\4､\5", html2txt)  # 【susp_img】
        html2txt = re.sub(r'(</p>|\n)((\s*<su[bp]>\s*)?<img src=.*? height="[\d.]+p[tx]"\s*/?>(\s*</su[bp]>)?\s*)'
                          r'(([1-9]|[1-9][0-9])\s*[、.．､])', r"</p>\2</p>" + "\n" + r"\5", html2txt)
        html2txt = re.sub(r"(<p>((?!<p>).)+?(\s|[/\"]>))(([1-9]|[1-9][0-9])\s*[、.．､].{,20}本[大小]?题\d+分)",
                          r"\1</p>" + "\n<p>" + r"\4", html2txt)
        # 多张图片和题号相连情况
        html2txt = re.sub(r"</?p>((\s*<su[bp]>\s*)?<img src=.*?/>(\s*</su[bp]>)?"
                          r"((\s*<su[bp]>\s*)?<img src=((?!/>).)+?/>(\s*</su[bp]>)?)*?\s*)\s*(([1-9]|[1-9][0-9])\s*[、.．､])",
                          r"</p>\1</p>" + "\n<p>" + r"\8", html2txt, flags=re.S)
        html2txt = re.sub(r'(<p>\s*[一二三四五六七八九十].*?题\s*\(.+?分.*?\))\s*(([1-9]|[1-9][0-9])\s*[、.．､].*?)</p>',
                          r"\1</p>\n<p>\2</p>", html2txt)
        html2txt = re.sub(r'(<p>\s*[一二三四五六七八九十].*?题\s*\(.+?分.*?\))\s*(([1-9]|[1-9][0-9])\s*[、.．､].*?)</p>',
                          r"\1</p>\n<p>\2</p>", html2txt)
        html2txt = re.sub(r'(<p>.*?[.．]{6,}\s*\d+分)\s*(([1-9]|[1-9][0-9])\s*[、.．､].*?)</p>', r"\1</p>\n<p>\2</p>", html2txt)
        html2txt = re.sub(r'([1-9]|[1-9][0-9])\s*([（(]\s*\d{1,2}[.\s\d]*?分\s*[)）])\s*[、.．､]', r"\1" + "､" + r"\2", html2txt)

        
        # 3>>建立图片id字典,对原图片信息第一次替换
        html2txt = re.sub(r'( src=".*?files)\\image', r"\1/image", html2txt)
        # all_image = re.findall(r'<img src=".*?image[\da-z]+\..*?[/\"]>', html2txt)
        # src2subs = {}
        # subs2src = {}
        # for src in all_image:
        #     # 校本题库上传的图片名称是随机数,故设置映射
        #     # kk = re.search('(<img src=".*?image\d+\.(png|gif|jpg|jpeg))', src)
        #     # new_src = src.replace(kk.group(1), self.img_url[kk.group(1)]) if type(self.img_url) == dict and kk else src
        #     # 图片信息简化替换
        #     print(src)
        #     new_src = re.sub(r'( data-latex)="\s*\\\[(.*?)\\\]\s*"', r'\1="$\2$"', src)
        #     new_src = re.sub(r'( data-latex="\$[^"]+?\$")',
        #                      lambda x: x.group(1).replace("<", " \lt ").replace("  ", " "), new_src)
        #     latex_info = re.search(r'<img src=".*?/(new_)?image([\da-z]+)\..*?(data-latex=".*?")', src)
        #     mathpix = " " + latex_info.group(3).replace("\n", "").strip().replace("  ", " ") if latex_info else ""
        #     if mathpix and len(mathpix) > 20:
        #         mathpix = ""
        #     w_h_info = re.search(r'<img src=".*?/(new_)?image([\da-z]+)\..*?width="([\d.]+)[pxt]*?"\s*height="([\d.]+)[pxt]*?"', src)
        #     w_h = " w_h=" + w_h_info.group(3).split('.')[0] + "*" + w_h_info.group(4).split('.')[0] \
        #         if w_h_info and not mathpix else ""  # w_h 和 mathpix只存在一个
        #     # image_id = re.search(r'<img src=".*?/(new_)?image([\da-z]+)\.', src).group(2)
        #     image_info = re.search(r'<img src=".*?/([^/]+?)/(new_)?image([\da-z]+)\.', src)  # 2023.12.1

        #     print(image_info.groups())
        #     image_id = image_info.group(1) + image_info.group(3)
        #     if len(image_id) > 10:
        #         image_id = image_id[-10:]
        #     src2subs[src] = '<imgsrc' + image_id + w_h + mathpix + "/>"
        #     subs2src['<imgsrc' + image_id + w_h + mathpix + "/>"] = new_src
        # for k, v in src2subs.items():
        #     html2txt = html2txt.replace(k, v)
        # ------------------------------------------------------------------------

        # ========html 转 list=========
        html2txt = re.sub(r'(</?div>|</table>|</?body>)(\n\s*)*?<p>', r"\1</p>" + "\n<p>", html2txt, flags=re.S)
        # >>>>>> <table>先替换后再切割
        # 不能简单按 \n 切割，表格里面也可能有换行，应该先替换后再切割
        subs2table = {}
        all_table = re.findall(r'<table>.*?</table>', html2txt, flags=re.S)
        for k, v in enumerate(all_table):
            html2txt = html2txt.replace(v, "<t{}b>".format(k))
            # 将表格中的换行去掉
            v = re.sub(r'<p>\s*(</?t[drh]( .*?")?>|</?table>|</?tbody>)\s*</p>', r"\1", v)
            v = re.sub(r'</td></p>[\n\s]*<p><td>', "</td><td>", v)
            v = re.sub(r'<td>(<p>|\s|</p>|\n)*</td>', "<td> </td>", v)
            v = re.sub(r'</tbody></?p></table>', "</tbody></table>", v)
            v = re.sub(r'(</?t[drh]( .*?")?>|</?table>|</?tbody>)(\s*<p>\s*</p>)[\s\n]*?(<br\s*/?>|\n)+', r"\1", v, flags=re.S)
            v = re.sub(r'(</?t[drh]( .*?")?>|</?table>|</?tbody>)(<br\s*/?>|\n|</p>|\s)+', r"\1", v, flags=re.S)
            v = re.sub(r'(</t[drh]( .*?")?>|</table>|</tbody>)(<br\s*/?>|\n|<p>|\s)+', r"\1", v, flags=re.S)

            # 暂时还有table标签首尾的换行没去掉
            subs2table["<t{}b>".format(str(k))] = v
        # <造成的css标签冲突处理  2021-10-13
        def sub2(ss):
            if re.search(r'^(img|/?h[123456]|/?su[bp]>|t\d+b>|br\s*/?>'
                         r'|/?(p|span|font|article|ul|ol|div|table|t?body|html|head|t[drh])(\s*|\s+style=.*?")>'
                         r'|/?[a-z]+ style=.*?">)', ss.group(1)) is None:
                return "&lt;{}".format(ss.group(1))
            else:
                return "<{}".format(ss.group(1))
        html2txt = re.sub("<([^<]{1,30})", sub2, html2txt)
        if subs2table:
            html2txt = re.sub(r"|".join(subs2table.keys()), lambda x: subs2table[x.group()], html2txt)
        # print(html2txt)
        # >>>>>> html 切割
        # con_list = sum([re.split('<p>|<h[12345]>', i) if len(re.findall("<p>|<h[12345]>", i)) > 1 else [i] for i in
        #                 re.split(r"\n+|</p>(?!</td>)|</h[12345]>", html2txt)], [])  # html2txt)[:-1]
        # con_list = [re.sub(r"^\n*\s*(<p>|<h[12345]>)+", "", ii) for ii in con_list]
        # # >>>>>> <table> 替换回去
        # if subs2table:
        #     con_list = [re.sub(r"|".join(subs2table.keys()), lambda x: subs2table[x.group()], ii) for ii in con_list]
        # # 剩余个别标签处理
        # con_list = [re.sub(r"^<([a-z]+)>[\s\t\n]*</\1>$", "", i.strip()) for i in con_list]  # 2020/4/7,14
        # con_list = [re.sub(r"^(<table>|</td>|<td[^<>]*?>|</?tr>)+?(.|\n)+?([一二三四五六七八九十])\s*[、.．､]\s*(.{2,4}题)(.|\n)+?</table>",
        #                    r"\3､\4", i.strip())
        #             for i in con_list]
        # # 把最后可能还存在的</?p>或考号信息去掉
        # con_list = [re.sub("</?p>|[…O•.\s]*?密[…O•.\s]*?封[….O•\s]*?装?[…O•.\s]*?订?[….O•\s]*?线?[….O•\s]*?$"
        #                    "|((学校|班级|姓名|座位号|准考号|[学考]号)[\s：:_]*?){2,}$", "", i.strip()) for i in con_list]
        # # =====答案行格式处理====
        # temp_list = [re.split(r"^((\s*<imgsrcw_h=[^/\"]*?(data-latex=.*?)?\s*[/\"]>\s*)+)", v.strip(), maxsplit=1)[1::3]
        #              if re.match(r'(\s*<imgsrcw_h=[^/\"]*?(data-latex=.*?)?\s*[/\"]>\s*)+?(参考|考试|试[题卷]|物理|理综|数学|化学|生物)(答案|解析|答案[及与和]评分(标准|意见|细则))\s*$'
        #                          r'|(\s*<imgsrcw_h=[^/\"]*?(data-latex=.*?)?\s*[/\"]>\s*)+?评分标准'
        #                          r'|(\s*<imgsrcw_h=[^/\"]*?(data-latex=.*?)?\s*[/\"]>\s*)+?(参考|考试|试[题卷])(答案|解析|答案[及与和]评分(标准|意见|细则))\s*(物理|理综|数学|化学|生物)?\s*$',
        #                          re.sub(r"[上下]?学[年期]|[\d—【】.．、､：:(（）)年\s]|[中大]学|模拟|[中高]考|年级|[学期][末中]|[高初][一二三]", "",
        #                                 v.strip())) else [v] for v in con_list]
        # con_list = sum(temp_list, [])
        # # =====对可能的题号的处理====  如2、3、4、5、      加了【fei】  # 重新修改！！！！！！！！！！
        # con_list = [re.sub(r"^\s*([1-9][0-9]?\s*[.．、､])", r"【fei】\1", i.strip())
        #             if (len(re.findall(r"(^|\s*[.．、､])\s*[1-9][0-9]?\s*[.．、､]", i)) >= 3
        #                 and len(re.sub(r"[\d.．、､\s]", "", i)) < 2) else i for i in con_list]

        # # =====头尾清除没用的信息=====
        # if con_list and re.search(r"[\u4e00-\u9fa5]|<img ", con_list[0]) is None:
        #     con_list = con_list[1:]
        # while con_list and re.search(r"声明[：:].*?著作权属.*?所有|(邮箱|用户|日期|QQ)\s*[：:].+?", con_list[-1]):
        #     con_list = con_list[:-1]

        return html2txt, self.new_html  #subs2table



if __name__ == '__main__':
    # -------------生成requirements.txt---------------
    # pip freeze > requirements.txt
    # import os, sys
    #
    # project_root = os.path.dirname(os.path.realpath(__file__))  # 找到当前目录
    # print(project_root)
    #
    # # 找到解释器，虚拟环境目录
    # python_root = sys.exec_prefix
    # print(python_root)
    #
    # # 拼接生成requirements命令
    # command = python_root + '\Scripts\pip freeze > ' + project_root + '\\requirements.txt'
    # print(command)
    #
    # # 执行命令。
    # os.system(command)

    # ----------------一键安装 requirements.txt------------
    # pip install -r requirement.txt
    # python_root + '\Scripts\' + pip install -r requirements.txt

    # import os
    # rrr=os.path.basename(r"http:/pstatic.dev.xueping.com/data/word/2020/08/12/5f338d18e2cce.docx")
    # print(rrr)
    # item = "<a 我没发你的接口 $2366<a$   <a 我没发你的接口 $2366<a$  <img 我没发你的接口 $2366<a$ <a 我没发你的接口 $2366<a$   <a 我没发你的接口 $2366<a$"
    # item = r"2.下列选项中,使不等式\( x<\frac{1}{x}< x_{2} \)"
    # ww = css_conflict_deal(item)
    # print(ww)
    p1 = r"/home/cv/workspace/tujintao/document_segmentation/Data/samples/真实样例/6264fa25f84c0e279ac643ef.html"
    t1 = open(p1, 'r', encoding="utf8").read()
    row_list, new_html = HtmlWash(t1, '11111111',is_reparse=1,must_latex=1).html_cleal()
    row_list = list(filter(lambda x: x.strip() != "", row_list)) 
    pprint(row_list)
    print(len(row_list))
    # html, wordid, is_reparse=0, img_url="", must_latex=0)