# -*- coding: utf-8 -*-
import re
from pprint import pprint
from pyquery import PyQuery as pq
#
# pattern = re.compile(r"\[来源.*?\]|www\..*?com")
#
# filter_words = ["学科网", "高考资源网", "Ziyuanku.com", "WWW.ziyuanku.com",
# "高☆考♂资♀源€网", "w.w.w.k.s.5.u.c.o.m", "本资料由《七彩教育网》www.7caiedu.cn 提供!",
# "本资料来源于《七彩教育网》http://www.7caiedu.cn", "本资料由《七彩教育网》www.7caiedu.cn 提",
# "高考试题来源:"]
#
#
# def filter_word(txt_list):
# new_txt_list = []
# for word in txt_list:
# if not word.strip():
# continue
# new_word = re.sub(pattern, "", word)
# for keys in filter_words:
# if keys in new_word:
# new_word = new_word.replace(keys, "")
# new_txt_list.append(new_word)
# return new_txt_list
def filter_data(x):
if not str(x).replace(" ", "").strip():
pass
else:
return str(x)
def replace_k(con):
# con = str(con).replace(" ", "+")
# con = str(con).replace(" ", "+")
con = re.sub(r'\s(?!(src="http|_src="http|class="tiankong"|data-num=))', "#+#", str(con))
return pq(con, parser="html")
def css_label_wash(content):
# todo add 9-4
"""
清洗文本中带有的css标签
:param content:
:return:
"""
# temp_con = re.sub('?p(\s*|\s+style=.*?")?>', "", str(content))
if re.search('?(span|font|article|ul|ol|div)(\s*|\s+style=.*?")>|text\s*-\s*decoration: underline|border\s*-\s*bottom:', str(content)) is None:
# content = re.sub('
', "\n", content).strip().replace("\n\n", "\n").replace("\n", "
")
content = re.sub('', "
", content)
content = re.sub('
', "
\n", content)
return content
else:
content = re.sub(r'', "", str(content))
content = re.sub(r'', "", str(content))
content = re.sub(r'', "", str(content))
content = re.sub(r'', "", str(content))
content = content.replace("", "").replace("", "")
content = content.replace("", "").replace("", "")
content = content.replace('
', "\n").replace('
', "\n")
content = content.replace("", "\n")
# content = re.sub('', "", content)
# content = re.sub('
', "\n", content)
# parm = False
# if "" not in str(content):
# parm = True
subs2img = {}
if re.search('" in content:
all_imgs = re.findall('|.*?',
content, flags=re.S)
for k, img in enumerate(all_imgs):
content = content.replace(img, "&{}&".format(k))
subs2img["&{}&".format(k)] = img
content = re.sub(r"<(su[bp])>(.*?)(su[bp])>", r"【\1】\2【/\3】", content)
html = pq(content, parser="html")
a = []
if html.children():
for line in html.children().items(): # .*?
里面的内容可能会被过滤掉
test = line.text()
if str(line).startswith("", "\n").replace("
", "\n").replace("
", "\n") + "\n")
a.append(line.html())
else:
line = replace_k(line)
if "
" in str(line) or "
" in str(line) or "
" in str(line):
line = str(line).replace("
", "###").replace("
", "###").replace("
", "###")
line = pq(line)
new_line = list(map(lambda x: str(x).replace("#+#", " "), line.text().split("###")))
a.extend(new_line)
else:
if line.text().strip():
a.append(line.text().replace("#+#", " "))
elif "" in str(line) and "" in str(line):
line = re.sub(r'', "", str(line.html()))
b = line.replace('
', ""). \
replace("
", "\n"). \
replace("
", "\n"). \
replace("
", "\n"). \
replace('
', "\n"). \
replace('
', "\n")
b_list = b.split("\n")
# b_list = list(filter(lambda x: str(x), b_list))
b_list = list(filter(filter_data, b_list))
b_list = list(map(lambda x: str(x), b_list))
a.extend(b_list)
elif str(line).startswith(" ;&变为&;
a.append(content.strip())
new_a = "\n".join(list(filter(lambda x: x.strip(), a)))
if subs2img:
new_a = re.sub("|".join(subs2img.keys()), lambda x: subs2img[x.group()], new_a)
new_a = "" + new_a.replace("\n\n", "\n").replace("\n", "
\n") + "
"
# for sb, img in subs2img.items(): # 2021
# new_a = new_a.replace(sb, img)
# if parm:
# new_a[0] = "\xa0" * 4 + new_a[0]
new_a = re.sub(r"【(/?su[bp])】", r"<\1>", new_a)
return new_a
if __name__ == '__main__':
cons = r'''
Nancycarrots are good for eyes.Eat some,please.
- 【答案】
- 【解析】
'''
# cons = '''Unbelievable!Oh..., _____ you don't mind, I'll stop and take a deep breath.
# 【答案】
1.if。考查if引导的条件状语从句。根据句意可知。
# 【解析】
'''
# pprint(cons)
# print(again_parse(cons))
# print(again_parse(cons))
# print(list(map(lambda x: str(x).replace(" ", " "), again_parse(cons))))
# con1 = r'解:A.研究跨栏动作时,刘翔的大小和形状不能忽略,不能看作质点,故A错误;
B.选取不同的参考系,物体的运动状态是不相同的,故B错误;
C.出租车收费是按路程收费的,故C错误;
D.第是指的时间,是指从末到末这一段时间,故D正确;
故选:D.
'
cons = css_label_wash(cons)
print(cons)