Spaces:
Sleeping
Sleeping
File size: 14,037 Bytes
f1554a2 b3e6fcf f1554a2 b3e6fcf f1554a2 b3e6fcf f1554a2 b3e6fcf f1554a2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 | import re
import bs4
from SEM.paragraph_bayesian import clf,tf
from bs4 import BeautifulSoup
mark_txt = {'0':"/data_types.txt",
'1':"/data_types.txt",
'2':"/personal_information_type.txt",
'3':"/share_information.txt",
'4':"/protect_information.txt",
'5':"/advertising.txt",
'6':"/user_right.txt",
'7':"/children.txt",
'8':"/region.txt",
'9':"/update.txt",
'10':"/way_to_collect.txt",
'11':"/provider.txt",
'12':"/data_retention.txt",
'13':"/data_types.txt",
'14':"/thrid_party.txt",
'15':"/data_types.txt"}
def process_content_outside_heading(content, pathName):
# 将内容转换为文本并进行预处理
soup = BeautifulSoup(content, 'html.parser')
text_content = soup.get_text(separator=' ', strip=True)
# 如果内容不为空,进行分类或其他处理
if text_content:
# 您可以在这里使用与标题相同的分类器进行分类
mark = clf.predict(tf.transform([text_content]))
# 将处理后的内容写入对应的文件
with open('./SEM/txt/'+pathName[:-5]+mark_txt.get(mark[0]), "a", encoding='utf-8') as f:
f.write(text_content)
f.write("\n")
def write_text(title_list, pathName, soup):
type = 0
security = 0
right = 0
specialGroup = 0
specialArea = 0
update = 0
retention = 0
useData = 0
clean_title_list = []
for title in title_list:
if title.text != "•":
clean_title_list.append(title)
# # 处理第一个标题之前的内容
# if clean_title_list:
# first_title = clean_title_list[0]
# content_before_first_title = []
# for element in first_title.find_previous_siblings():
# content_before_first_title.insert(0, element) # 逆序插入,保持顺序
# content_before_first_title = ''.join([str(elem) for elem in content_before_first_title])
# # 处理标题外的内容
# process_content_outside_heading(content_before_first_title, pathName)
# print("title list:"+str(clean_title_list))
lastMark = ""
for title in clean_title_list:
title_Str = re.sub(r'\s+', ' ',str(title))
title_Str = re.sub(r'<[^<]+?>', '', title_Str).replace('\n','').strip()
if title is None:
continue
try:
mark = clf.predict(tf.transform([title_Str]))
except Exception as e:
continue
# print(mark)
if mark == "1":
type = 1
if mark == "4":
security = 1
if mark == "6":
right = 1
if mark == "13":
useData = 1
if mark == "8":
specialArea = 1
if mark == "9":
update = 1
if mark == "12":
retention = 1
if mark == "7":
specialGroup = 1
if mark == "0":
if lastMark != "":
mark = lastMark
lastMark = mark
for sibling in title.next_elements:
# print("sibling", sibling)
# if len(str(sibling).split(' ')) < 5:
# continue
try:
if clean_title_list[clean_title_list.index(title) + 1] == sibling:
break
except Exception:
continue
# if isinstance(sibling, bs4.element.Tag):
#
# continue
if str(sibling) == '\n':
continue
if sibling == title.string:
continue
if clean_title_list.index(title) == len(clean_title_list) - 1:
with open('./SEM/txt/'+pathName[:-5]+mark_txt.get(mark[0]),"a",encoding='utf-8') as f:
if sibling.name is None or (sibling.name != 'li' and sibling.name != 'p' and sibling.name != 'br' and isinstance(sibling, bs4.element.Tag)):
continue
if sibling.name == 'li':
if sibling.find_previous('p'):
# p_text = sibling.find_previous('p').text.strip()
parent = ' '.join(sibling.find_previous('p').text.split())
text = ' '.join(sibling.get_text().split())
currentSibing = f"{parent} {text}"
# if currentSibing[-1].isalpha() or currentSibing[-1] == ")":
# currentSibing = currentSibing + "."
# g.write(currentSibing)
# print("Found ul after a p tag with text:", parent)
else:
# currentSibing = str(sibling)
currentSibing = ' '.join(sibling.get_text().split())
else:
# currentSibing = str(sibling)
currentSibing = ' '.join(sibling.get_text().split())
# currentSibing = str(sibling)
if len(currentSibing) != 0:
if currentSibing[-1].isalpha() or currentSibing[-1] == ")":
currentSibing = currentSibing + "."
elif currentSibing[-1] == ";" or currentSibing[-1] == ":" or currentSibing[-1] == ",":
currentSibing = currentSibing[:-1]
currentSibing = currentSibing + "."
f.write(currentSibing)
f.write("\n")
f.close()
else:
with open('./SEM/txt/'+pathName[:-5]+mark_txt.get(mark[0]),"a",encoding='utf-8') as g:
if sibling.name is None or (sibling.name != 'li' and sibling.name != 'p' and sibling.name != 'br' and isinstance(sibling, bs4.element.Tag)):
continue
if sibling.name == 'li':
if sibling.find_previous('p'):
# p_text = sibling.find_previous('p').text.strip()
parent = ' '.join(sibling.find_previous('p').text.split())
text = ' '.join(sibling.get_text().split())
currentSibing = f"{parent} {text}"
# if currentSibing[-1].isalpha() or currentSibing[-1] == ")":
# currentSibing = currentSibing + "."
# g.write(currentSibing)
# print("Found ul after a p tag with text:", parent)
else:
# currentSibing = str(sibling)
currentSibing = ' '.join(sibling.get_text().split())
else:
# currentSibing = str(sibling)
currentSibing = ' '.join(sibling.get_text().split())
# currentSibing = str(sibling)
if len(currentSibing) != 0:
if currentSibing[-1].isalpha() or currentSibing[-1] == ")":
currentSibing = currentSibing + "."
elif currentSibing[-1] == ";" or currentSibing[-1] == ":" or currentSibing[-1] == ",":
currentSibing = currentSibing[:-1]
currentSibing = currentSibing + "."
g.write(currentSibing)
g.write("\n")
g.close()
# 处理标题之外的段落
remaining_soup = soup # 保留整个页面的 soup 结构
# 遍历标题列表,移除已经处理的标题和标题下的段落
for title in clean_title_list:
title.extract() # 移除每个标题及其下的段落
# 剩下的文本内容未被标题覆盖,进行同样的分类处理
removeUnneccessaryElements(remaining_soup)
remaining_segments = makeCoarseSegments(remaining_soup)
for seg in remaining_segments:
seg_clean = ' '.join(seg.split())
if len(seg_clean) != 0:
try:
mark = clf.predict(tf.transform([seg_clean]))
with open('./SEM/txt/' + pathName[:-5] + mark_txt.get(mark[0]), "a", encoding='utf-8') as f:
f.write(seg_clean)
f.write("\n")
f.close()
except Exception as e:
continue
# # 处理最后一个标题之后的内容
# if clean_title_list:
# last_title = clean_title_list[-1]
# content_after_last_title = []
# for element in last_title.next_siblings:
# content_after_last_title.append(element)
# content_after_last_title = ''.join([str(elem) for elem in content_after_last_title])
# # 处理标题外的内容
# process_content_outside_heading(content_after_last_title, pathName)
return type,security,right,specialArea,specialGroup,update,retention,useData
def write_text_without_label(text, pathName):
with open('./txt/' + pathName[:-5] + '/data_types.txt', "a", encoding='utf-8') as f:
currentSibing = str(text)
# print("currentSibing", currentSibing)
if currentSibing[-1].isalpha() or currentSibing[-1] == ")":
currentSibing = currentSibing + "."
elif currentSibing[-1] == ";":
currentSibing[-1] = "."
f.write(currentSibing)
f.close()
def removeUnneccessaryElements(soup):
for script in soup(["script", "style", "nav", "footer", "header", "img", "option", "select", "head", "button"]):
script.extract() # rip it out
for div in soup.find_all("div", {'class': 'footer'}):
div.decompose()
for div in soup.find_all("div", {'class': re.compile(r"sidebar")}):
div.decompose()
for div in soup.find_all("div", {'data-testid': re.compile(r"ax-navigation-menubar")}):
div.decompose()
for div in soup.find_all("div", {'class': re.compile(r"menu")}):
div.decompose()
for li in soup.find_all("li", {'class': re.compile(r"menu")}):
li.decompose()
for p in soup.find_all("p", {'class': re.compile(r"heading")}):
p.decompose()
for p in soup.find_all("p", {'class': re.compile(r"fw-bold")}):
p.decompose()
for ul in soup.find_all("ul", {'class': re.compile(r"menu")}):
ul.decompose()
for div in soup.find_all("div", {'class': re.compile(r"header")}):
div.decompose()
for div in soup.find_all("div", {'data-referrer': re.compile(r"page_footer")}):
div.decompose()
for div in soup.find_all("div", {'id': 'footer'}):
div.decompose()
for div in soup.find_all("div", {'id': re.compile(r"sidebar")}):
div.decompose()
for div in soup.find_all("div", {'id': re.compile(r"menu")}):
div.decompose()
for li in soup.find_all("li", {'id': re.compile(r"menu")}):
li.decompose()
for ul in soup.find_all("ul", {'id': re.compile(r"menu")}):
ul.decompose()
for div in soup.find_all("div", {'id': re.compile(r"header")}):
div.decompose()
for div in soup.find_all("div", {'id': re.compile(r"breadcrumbs")}):
div.decompose()
for div in soup.find_all("div", {'id': re.compile(r"instagram")}):
div.decompose()
for div in soup.find_all("div", {'role': re.compile(r"navigation")}):
div.decompose()
for div in soup.find_all("div", {'role': re.compile(r"banner")}):
div.decompose()
for div in soup.find_all("div", {'role': re.compile(r"button")}):
div.decompose()
for div in soup.find_all("ul", {'role': re.compile(r"navigation")}):
div.decompose()
def makeCoarseSegments(soup):
segments = []
for p in soup.find_all("p"):
if p.find_next() is not None:
if p.find_next().name != "ul":
# segments.append(' '.join(p.get_text().split()))
text = ' '.join(p.get_text().split())
if len(text) != 0:
if text[-1].isalpha() or text[-1] == ")":
text = text + "."
elif text[-1] == ";" or text[-1] == ":" or text[-1] == ",":
text = text[:-1]
text = text + "."
segments.append(text)
listSplitter = []
for ul in soup.find_all("ul"):
if ul.find_previous('p') is not None:
parent = ' '.join(ul.find_previous('p').text.split())
for element in ul.findChildren('li'):
text = ' '.join(element.get_text().split())
listElement = f"{parent} {text}"
if len(listElement) != 0:
if listElement[-1].isalpha() or listElement[-1] == ")":
listElement = listElement + "."
elif listElement[-1] == ";" or listElement[-1] == ":" or listElement[-1] == ",":
listElement = listElement[:-1]
listElement = listElement + "."
segments.append(listElement)
else:
for element in ul.findChildren('li'):
text = ' '.join(element.get_text().split())
if len(text) != 0:
if text[-1].isalpha() or text[-1] == ")":
text = text + "."
elif text[-1] == ";" or text[-1] == ":" or text[-1] == ",":
text = text[:-1]
text = text + "."
segments.append(text)
# if not segments:
# text = soup.getText().replace('\n', '').replace('↵', '')
# result = useAlgorithm(text)
# else:
# # text = " ".join(segments)
# # print("TEXT??", text)
# print("SEGMENTS??", segments)
# result = segments
result = segments
return result
|