htmlparser.py 60 KB

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  1. #coding:utf8
  2. import re
  3. # from BaseDataMaintenance.maintenance.product.productUtils import is_similar
  4. # from BiddingKG.dl.common.Utils import log
  5. import logging
  6. logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
  7. logger = logging.getLogger(__name__)
  8. logger.setLevel(logging.INFO)
  9. def log(msg):
  10. '''
  11. @summary:打印信息
  12. '''
  13. logger.info(msg)
  14. from bs4 import BeautifulSoup
  15. import copy
  16. import Levenshtein
  17. def jaccard_score(source,target):
  18. source_set = set([s for s in source])
  19. target_set = set([s for s in target])
  20. if len(source_set)==0 or len(target_set)==0:
  21. return 0
  22. return max(len(source_set&target_set)/len(source_set),len(source_set&target_set)/len(target_set))
  23. def judge_pur_chinese(keyword):
  24. """
  25. 中文字符的编码范围为: u'\u4e00' -- u'\u9fff:只要在此范围内就可以判断为中文字符串
  26. @param keyword:
  27. @return:
  28. """
  29. # 定义一个需要删除的标点符号字符串列表
  30. remove_chars = '[·’!"\#$%&\'()#!()*+,-./:;<=>?\@,:?¥★、….>【】[]《》?“”‘’\[\\]^_`{|}~]+'
  31. # 利用re.sub来删除中文字符串中的标点符号
  32. strings = re.sub(remove_chars, "", keyword) # 将keyword中文字符串中remove_chars中包含的标点符号替换为空字符串
  33. for ch in strings:
  34. if u'\u4e00' <= ch <= u'\u9fff':
  35. pass
  36. else:
  37. return False
  38. return True
  39. def is_similar(source,target,_radio=None):
  40. source = str(source).lower()
  41. target = str(target).lower()
  42. max_len = max(len(source),len(target))
  43. min_len = min(len(source),len(target))
  44. min_ratio = 90
  45. if min_len>=3:
  46. min_ratio = 87
  47. if min_len>=5:
  48. min_ratio = 85
  49. if _radio is not None:
  50. min_ratio = _radio
  51. # dis_len = abs(len(source)-len(target))
  52. # min_dis = min(max_len*0.2,4)
  53. if min_len==0 and max_len>0:
  54. return False
  55. if max_len<=2:
  56. if source==target:
  57. return True
  58. if min_len<2:
  59. return False
  60. #判断相似度
  61. similar = Levenshtein.ratio(source,target)*100
  62. if similar>=min_ratio:
  63. log("%s and %s similar_jaro %d"%(source,target,similar))
  64. return True
  65. similar_jaro = Levenshtein.jaro(source,target)
  66. if similar_jaro*100>=min_ratio:
  67. log("%s and %s similar_jaro %d"%(source,target,similar_jaro*100))
  68. return True
  69. similar_jarow = Levenshtein.jaro_winkler(source,target)
  70. if similar_jarow*100>=min_ratio:
  71. log("%s and %s similar_jaro %d"%(source,target,similar_jarow*100))
  72. return True
  73. if min_len>=5:
  74. if len(source)==max_len and str(source).find(target)>=0:
  75. return True
  76. elif len(target)==max_len and target.find(source)>=0:
  77. return True
  78. elif jaccard_score(source, target)==1 and judge_pur_chinese(source) and judge_pur_chinese(target):
  79. return True
  80. return False
  81. end_pattern = "商务要求|评分标准|商务条件|商务条件"
  82. _param_pattern = "(产品|技术|清单|配置|参数|具体|明细|项目|招标|货物|服务|规格|工作|具体)[及和与]?(指标|配置|条件|要求|参数|需求|规格|条款|名称及要求)|配置清单|(质量|技术).{,10}要求|验收标准|^(参数|功能)$"
  83. meter_pattern = "[><≤≥±]\d+|\d+(?:[μucmkK微毫千]?[米升LlgGmMΩ]|摄氏度|英寸|度|天|VA|dB|bpm|rpm|kPa|mol|cmH20|%|°|Mpa|Hz|K?HZ|℃|W|min|[*×xX])|[*×xX]\d+|/min|\ds[^a-zA-Z]|GB.{,20}标准|PVC|PP|角度|容积|色彩|自动|流量|外径|轴位|折射率|帧率|柱镜|振幅|磁场|镜片|防漏|强度|允差|心率|倍数|瞳距|底座|色泽|噪音|间距|材质|材料|表面|频率|阻抗|浓度|兼容|防尘|防水|内径|实时|一次性|误差|性能|距离|精确|温度|超温|范围|跟踪|对比度|亮度|[横纵]向|均压|负压|正压|可调|设定值|功能|检测|高度|厚度|宽度|深度|[单双多]通道|效果|指数|模式|尺寸|重量|峰值|谷值|容量|寿命|稳定性|高温|信号|电源|电流|转换率|效率|释放量|转速|离心力|向心力|弯曲|电压|功率|气量|国标|标准协议|灵敏度|最大值|最小值|耐磨|波形|高压|性强|工艺|光源|低压|压力|压强|速度|湿度|重量|毛重|[MLX大中小]+码|净重|颜色|[红橙黄绿青蓝紫]色|不锈钢|输入|输出|噪声|认证|配置"
  84. not_meter_pattern = "投标报价|中标金额|商务部分|公章|分值构成|业绩|详见|联系人|联系电话|合同价|金额|采购预算|资金来源|费用|质疑|评审因素|评审标准|商务资信|商务评分|专家论证意见|评标方法|代理服务费|售后服务|评分类型|评分项目|预算金额|得\d+分|项目金额|详见招标文件|乙方"
  85. def getTrs(tbody):
  86. #获取所有的tr
  87. trs = []
  88. if tbody.name=="table":
  89. body = tbody.find("tbody",recursive=False)
  90. if body is not None:
  91. tbody = body
  92. objs = tbody.find_all(recursive=False)
  93. for obj in objs:
  94. if obj.name=="tr":
  95. trs.append(obj)
  96. if obj.name=="tbody" or obj.name=="table":
  97. for tr in obj.find_all("tr",recursive=False):
  98. trs.append(tr)
  99. return trs
  100. def fixSpan(tbody):
  101. # 处理colspan, rowspan信息补全问题
  102. #trs = tbody.findChildren('tr', recursive=False)
  103. trs = getTrs(tbody)
  104. ths_len = 0
  105. ths = list()
  106. trs_set = set()
  107. #修改为先进行列补全再进行行补全,否则可能会出现表格解析混乱
  108. # 遍历每一个tr
  109. for indtr, tr in enumerate(trs):
  110. ths_tmp = tr.findChildren('th', recursive=False)
  111. #不补全含有表格的tr
  112. if len(tr.findChildren('table'))>0:
  113. continue
  114. if len(ths_tmp) > 0:
  115. ths_len = ths_len + len(ths_tmp)
  116. for th in ths_tmp:
  117. ths.append(th)
  118. trs_set.add(tr)
  119. # 遍历每行中的element
  120. tds = tr.findChildren(recursive=False)
  121. for indtd, td in enumerate(tds):
  122. # 若有colspan 则补全同一行下一个位置
  123. if 'colspan' in td.attrs:
  124. if str(re.sub("[^0-9]","",str(td['colspan'])))!="":
  125. col = int(re.sub("[^0-9]","",str(td['colspan'])))
  126. if col<100 and len(td.get_text())<1000:
  127. td['colspan'] = 1
  128. for i in range(1, col, 1):
  129. td.insert_after(copy.copy(td))
  130. for indtr, tr in enumerate(trs):
  131. ths_tmp = tr.findChildren('th', recursive=False)
  132. #不补全含有表格的tr
  133. if len(tr.findChildren('table'))>0:
  134. continue
  135. if len(ths_tmp) > 0:
  136. ths_len = ths_len + len(ths_tmp)
  137. for th in ths_tmp:
  138. ths.append(th)
  139. trs_set.add(tr)
  140. # 遍历每行中的element
  141. tds = tr.findChildren(recursive=False)
  142. for indtd, td in enumerate(tds):
  143. # 若有rowspan 则补全下一行同样位置
  144. if 'rowspan' in td.attrs:
  145. if str(re.sub("[^0-9]","",str(td['rowspan'])))!="":
  146. row = int(re.sub("[^0-9]","",str(td['rowspan'])))
  147. td['rowspan'] = 1
  148. for i in range(1, row, 1):
  149. # 获取下一行的所有td, 在对应的位置插入
  150. if indtr+i<len(trs):
  151. tds1 = trs[indtr + i].findChildren(['td','th'], recursive=False)
  152. if len(tds1) >= (indtd) and len(tds1)>0:
  153. if indtd > 0:
  154. tds1[indtd - 1].insert_after(copy.copy(td))
  155. else:
  156. tds1[0].insert_before(copy.copy(td))
  157. elif indtd-2>0 and len(tds1) > 0 and len(tds1) == indtd - 1: # 修正某些表格最后一列没补全
  158. tds1[indtd-2].insert_after(copy.copy(td))
  159. def getTable(tbody):
  160. #trs = tbody.findChildren('tr', recursive=False)
  161. fixSpan(tbody)
  162. trs = getTrs(tbody)
  163. inner_table = []
  164. for tr in trs:
  165. tr_line = []
  166. tds = tr.findChildren(['td','th'], recursive=False)
  167. if len(tds)==0:
  168. tr_line.append([re.sub('\xa0','',tr.get_text()),0]) # 2021/12/21 修复部分表格没有td 造成数据丢失
  169. for td in tds:
  170. tr_line.append([re.sub('\xa0','',td.get_text()),0])
  171. #tr_line.append([td.get_text(),0])
  172. inner_table.append(tr_line)
  173. return inner_table
  174. class Sentence2():
  175. def __init__(self,text,sentence_index,wordOffset_begin,wordOffset_end):
  176. self.name = 'sentence2'
  177. self.text = text
  178. self.sentence_index = sentence_index
  179. self.wordOffset_begin = wordOffset_begin
  180. self.wordOffset_end = wordOffset_end
  181. def get_text(self):
  182. return self.text
  183. class ParseDocument():
  184. def __init__(self,_html,auto_merge_table=True,list_obj = []):
  185. if _html is None:
  186. _html = ""
  187. self.html = _html
  188. self.auto_merge_table = auto_merge_table
  189. if list_obj:
  190. self.list_obj = list_obj
  191. else:
  192. self.soup = BeautifulSoup(self.html, "lxml")
  193. _body = self.soup.find("body")
  194. if _body is not None:
  195. self.soup = _body
  196. self.list_obj = self.get_soup_objs(self.soup)
  197. self.list_obj = [re.sub('\s+', ' ', it.get_text().strip()) for it in self.list_obj]
  198. self.list_obj = [Sentence2(text, 1,1,5) for text in self.list_obj]
  199. # for obj in self.list_obj:
  200. # print("obj",obj.get_text()[:20])
  201. self.tree = self.buildParsetree(self.list_obj,[],auto_merge_table)
  202. # #识别目录树
  203. # if self.parseTree:
  204. # self.parseTree.printParseTree()
  205. # self.print_tree(self.tree,"-|")
  206. def get_soup_objs(self,soup,list_obj=None):
  207. if list_obj is None:
  208. list_obj = []
  209. childs = soup.find_all(recursive=False)
  210. for _obj in childs:
  211. childs1 = _obj.find_all(recursive=False)
  212. if len(childs1)==0 or len(_obj.get_text())<40 or _obj.name=="table":
  213. list_obj.append(_obj)
  214. elif _obj.name=="p":
  215. list_obj.append(_obj)
  216. else:
  217. self.get_soup_objs(_obj,list_obj)
  218. return list_obj
  219. def fix_tree(self,_product):
  220. products = extract_products(self.tree,_product)
  221. if len(products)>0:
  222. self.tree = self.buildParsetree(self.list_obj,products,self.auto_merge_table)
  223. def print_tree(self,tree,append=""):
  224. self.set_tree_id = set()
  225. if append=="":
  226. for t in tree:
  227. logger.debug("%s text:%s title:%s title_text:%s before:%s after%s product:%s"%("==>",t["text"][:50],t["sentence_title"],t["sentence_title_text"],t["title_before"],t["title_after"],t["has_product"]))
  228. for t in tree:
  229. _id = id(t)
  230. if _id in self.set_tree_id:
  231. continue
  232. self.set_tree_id.add(_id)
  233. logger.info("%s text:%s title:%s title_text:%s before:%s after%s product:%s"%(append,t["text"][:50],t["sentence_title"],t["sentence_title_text"],t["title_before"],t["title_after"],t["has_product"]))
  234. childs = t["child_title"]
  235. self.print_tree(childs,append=append+"-|")
  236. def is_title_first(self,title):
  237. if title in ("一","1","Ⅰ","a","A"):
  238. return True
  239. return False
  240. def find_title_by_pattern(self,_text,_pattern="(^|★|▲|:|:|\s+)(?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>[、章册包标部.::、、]+))|" \
  241. "([\s★▲\*]*)(?P<title_3>(?P<title_3_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?)(?P<title_3_index_0_1>[ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]+)(?P<title_3_index_0_2>[、章册包标部.::、、]+))|" \
  242. "([\s★▲\*]*)(?P<title_4>(?P<title_4_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?第?)(?P<title_4_index_1_1>[一二三四五六七八九十]+)(?P<title_4_index_2_0>[节章册部\.::、、]+))|" \
  243. "([\s★▲\*]*)(?P<title_5>(?P<title_5_index_0_0>^)(?P<title_5_index_1_1>[一二三四五六七八九十]+)(?P<title_5_index_2_0>)[^一二三四五六七八九十节章册部\.::、、])|" \
  244. "([\s★▲\*]*)(?P<title_12>(?P<title_12_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-])(?P<title_12_index_1_1>\d{1,2})(?P<title_12_index_2_0>[\..、\s\-]?))|"\
  245. "([\s★▲\*]*)(?P<title_11>(?P<title_11_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?\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\-]?))|" \
  246. "([\s★▲\*]*)(?P<title_10>(?P<title_10_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-])(?P<title_10_index_1_1>\d{1,2})(?P<title_10_index_2_0>[\..、\s\-]?))|" \
  247. "([\s★▲\*]*)(?P<title_7>(?P<title_7_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?\d{1,2}[\..\s\-])(?P<title_7_index_1_1>\d{1,2})(?P<title_7_index_2_0>[\..包标::、\s\-]*))|" \
  248. "(^[\s★▲\*]*)(?P<title_6>(?P<title_6_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?包?)(?P<title_6_index_0_1>\d{1,2})(?P<title_6_index_2_0>[\..、\s\-包标]*))|" \
  249. "([\s★▲\*]*)(?P<title_15>(?P<title_15_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?[((]?)(?P<title_15_index_1_1>\d{1,2})(?P<title_15_index_2_0>[))包标\..::、]+))|" \
  250. "([\s★▲\*]+)(?P<title_17>(?P<title_17_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?[((]?)(?P<title_17_index_1_1>[a-zA-Z]+)(?P<title_17_index_2_0>[))包标\..::、]+))|" \
  251. "([\s★▲\*]*)(?P<title_19>(?P<title_19_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?[((]?)(?P<title_19_index_1_1>[一二三四五六七八九十ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]+)(?P<title_19_index_2_0>[))]))"
  252. ):
  253. _se = re.search(_pattern,_text)
  254. groups = []
  255. if _se is not None:
  256. e = _se.end()
  257. if re.search('(时间|日期|编号|账号|号码|手机|价格|\w价|人民币|金额|得分|分值|总分|满分|最高得|扣|减|数量|评委)[::]?\d', _se.group(0)) or (re.search('\d[.::]?$', _se.group(0)) and re.search('^[\d年月日万元天个分秒台条A-Za-z]|^(小时)', _text[e:])):
  258. return None
  259. elif re.match('[二三四五六七八九十]\w{1,2}[市区县]|五金|四川|八疆|九龙|[一二三四五六七八九十][层天标包]', _text) and re.match('[一二三四五六七八九十]', _se.group(0)): # 289765335 排除三明市等开头作为大纲
  260. return None
  261. elif re.search('^[\u4e00-\u9fa5]+[::]', _text[:e]):
  262. return None
  263. _gd = _se.groupdict()
  264. for k,v in _gd.items():
  265. if v is not None:
  266. groups.append((k,v))
  267. if len(groups):
  268. # groups.sort(key=lambda x:x[0])
  269. return groups
  270. return None
  271. def make_increase(self,_sort,_title,_add=1):
  272. if len(_title)==0 and _add==0:
  273. return ""
  274. if len(_title)==0 and _add==1:
  275. return _sort[0]
  276. _index = _sort.index(_title[-1])
  277. next_index = (_index+_add)%len(_sort)
  278. next_chr = _sort[next_index]
  279. if _index==len(_sort)-1:
  280. _add = 1
  281. else:
  282. _add = 0
  283. return next_chr+self.make_increase(_sort,_title[:-1],_add)
  284. def get_next_title(self,_title):
  285. if re.search("^\d+$",_title) is not None:
  286. return str(int(_title)+1)
  287. if re.search("^[一二三四五六七八九十百]+$",_title) is not None:
  288. if _title[-1]=="十":
  289. return _title+"一"
  290. if _title[-1]=="百":
  291. return _title+"零一"
  292. if _title[-1]=="九":
  293. if len(_title)==1:
  294. return "十"
  295. if len(_title)==2:
  296. if _title[0]=="十":
  297. return "二十"
  298. if len(_title)==3:
  299. if _title[0]=="九":
  300. return "一百"
  301. else:
  302. _next_title = self.make_increase(['一','二','三','四','五','六','七','八','九','十'],re.sub("[十百]",'',_title[0]))
  303. return _next_title+"十"
  304. _next_title = self.make_increase(['一','二','三','四','五','六','七','八','九','十'],re.sub("[十百]",'',_title))
  305. _next_title = list(_next_title)
  306. _next_title.reverse()
  307. if _next_title[-1]!="十":
  308. if len(_next_title)>=2:
  309. _next_title.insert(-1,'十')
  310. if len(_next_title)>=4:
  311. _next_title.insert(-3,'百')
  312. if _title[0]=="十":
  313. if _next_title=="十":
  314. _next_title = ["二","十"]
  315. _next_title.insert(0,"十")
  316. _next_title = "".join(_next_title)
  317. return _next_title
  318. if re.search("^[a-z]+$",_title) is not None:
  319. _next_title = self.make_increase([chr(i+ord('a')) for i in range(26)],_title)
  320. _next_title = list(_next_title)
  321. _next_title.reverse()
  322. return "".join(_next_title)
  323. if re.search("^[A-Z]+$",_title) is not None:
  324. _next_title = self.make_increase([chr(i+ord('A')) for i in range(26)],_title)
  325. _next_title = list(_next_title)
  326. _next_title.reverse()
  327. return "".join(_next_title)
  328. if re.search("^[ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]$",_title) is not None:
  329. _sort = ["Ⅰ","Ⅱ","Ⅲ","Ⅳ","Ⅴ","Ⅵ","Ⅶ","Ⅷ","Ⅸ","Ⅹ","Ⅺ","Ⅻ"]
  330. _index = _sort.index(_title)
  331. if _index<len(_sort)-1:
  332. return _sort[_index+1]
  333. return None
  334. def count_title_before(self,list_obj):
  335. dict_before = {}
  336. dict_sentence_count = {}
  337. illegal_sentence = set()
  338. for obj_i in range(len(list_obj)):
  339. obj = list_obj[obj_i]
  340. _type = "sentence"
  341. _text = obj.text.strip()
  342. if obj.name=="table":
  343. _type = "table"
  344. _text = str(obj)
  345. _append = False
  346. if _type=="sentence":
  347. if len(_text)>10 and len(_text)<100:
  348. if _text not in dict_sentence_count:
  349. dict_sentence_count[_text] = 0
  350. dict_sentence_count[_text] += 1
  351. if re.search("\d+页",_text) is not None:
  352. illegal_sentence.add(_text)
  353. elif len(_text)<10:
  354. if re.search("第\d+页",_text) is not None:
  355. illegal_sentence.add(_text)
  356. sentence_groups = self.find_title_by_pattern(_text[:10])
  357. if sentence_groups:
  358. # c062f53cf83401e671822003d63c1828print("sentence_groups",sentence_groups)
  359. sentence_title = sentence_groups[0][0]
  360. sentence_title_text = sentence_groups[0][1]
  361. title_index = sentence_groups[-2][1]
  362. title_before = sentence_groups[1][1].replace("(","(").replace(":",":").replace(":",";").replace(",",".").replace(",",".").replace("、",".")
  363. title_after = sentence_groups[-1][1].replace(")",")").replace(":",":").replace(":",";").replace(",",".").replace(",",".").replace("、",".")
  364. next_index = self.get_next_title(title_index)
  365. if title_before not in dict_before:
  366. dict_before[title_before] = 0
  367. dict_before[title_before] += 1
  368. for k,v in dict_sentence_count.items():
  369. if v>10:
  370. illegal_sentence.add(k)
  371. return dict_before,illegal_sentence
  372. def is_page_no(self,sentence):
  373. if len(sentence)<10:
  374. if re.search("\d+页|^\-\d+\-$",sentence) is not None:
  375. return True
  376. def block_tree(self,childs):
  377. for child in childs:
  378. if not child["block"]:
  379. child["block"] = True
  380. childs2 = child["child_title"]
  381. self.block_tree(childs2)
  382. def buildParsetree(self,list_obj,products=[],auto_merge_table=True):
  383. self.parseTree = None
  384. trees = []
  385. list_length = []
  386. for obj in list_obj[:200]:
  387. if obj.name!="table":
  388. list_length.append(len(obj.get_text()))
  389. if len(list_length)>0:
  390. max_length = max(list_length)
  391. else:
  392. max_length = 40
  393. max_length = min(max_length,40)
  394. logger.debug("%s:%d"%("max_length",max_length))
  395. list_data = []
  396. last_table_index = None
  397. last_table_columns = None
  398. last_table = None
  399. dict_before,illegal_sentence = self.count_title_before(list_obj)
  400. for obj_i in range(len(list_obj)):
  401. obj = list_obj[obj_i]
  402. # logger.debug("==obj %s"%obj.text[:20])
  403. _type = "sentence"
  404. _text = standard_product(obj.text)
  405. if obj.name=="table":
  406. _type = "table"
  407. _text = standard_product(str(obj))
  408. _append = False
  409. sentence_title = None
  410. sentence_title_text = None
  411. sentence_groups = None
  412. title_index = None
  413. next_index = None
  414. parent_title = None
  415. title_before = None
  416. title_after = None
  417. title_next = None
  418. childs = []
  419. # new
  420. sentence_index = obj.sentence_index
  421. wordOffset_begin = obj.wordOffset_begin
  422. wordOffset_end = obj.wordOffset_end
  423. list_table = None
  424. block = False
  425. has_product = False
  426. if _type=="sentence":
  427. if _text in illegal_sentence:
  428. continue
  429. sentence_groups = self.find_title_by_pattern(_text[:10])
  430. if sentence_groups:
  431. title_before = standard_title_context(sentence_groups[1][1])
  432. title_after = sentence_groups[-1][1]
  433. sentence_title_text = sentence_groups[0][1]
  434. other_text = _text.replace(sentence_title_text,"")
  435. if (title_before in dict_before and dict_before[title_before]>1) or title_after!="":
  436. sentence_title = sentence_groups[0][0]
  437. title_index = sentence_groups[-2][1]
  438. next_index = self.get_next_title(title_index)
  439. other_text = _text.replace(sentence_title_text,"")
  440. for p in products:
  441. if other_text.strip()==p.strip():
  442. has_product = True
  443. else:
  444. _fix = False
  445. for p in products:
  446. if other_text.strip()==p.strip():
  447. title_before = "=产品"
  448. sentence_title = "title_0"
  449. sentence_title_text = p
  450. title_index = "0"
  451. title_after = "产品="
  452. next_index = "0"
  453. _fix = True
  454. has_product = True
  455. break
  456. if not _fix:
  457. title_before = None
  458. title_after = None
  459. sentence_title_text = None
  460. else:
  461. if len(_text)<40 and re.search(_param_pattern,_text) is not None:
  462. for p in products:
  463. if _text.find(p)>=0:
  464. title_before = "=产品"
  465. sentence_title = "title_0"
  466. sentence_title_text = p
  467. title_index = "0"
  468. title_after = "产品="
  469. next_index = "0"
  470. _fix = True
  471. has_product = True
  472. break
  473. if _type=="sentence":
  474. if sentence_title is None and len(list_data)>0 and list_data[-1]["sentence_title"] is not None and list_data[-1]["line_width"]>=max_length*0.6:
  475. list_data[-1]["text"] += _text
  476. list_data[-1]["line_width"] = len(_text)
  477. _append = True
  478. elif sentence_title is None and len(list_data)>0 and _type==list_data[-1]["type"]:
  479. if list_data[-1]["line_width"]>=max_length*0.7:
  480. list_data[-1]["text"] += _text
  481. list_data[-1]["line_width"] = len(_text)
  482. _append = True
  483. if _type=="table":
  484. _soup = BeautifulSoup(_text,"lxml")
  485. _table = _soup.find("table")
  486. if _table is not None:
  487. list_table = getTable(_table)
  488. if len(list_table)==0:
  489. continue
  490. table_columns = len(list_table[0])
  491. if auto_merge_table:
  492. if last_table_index is not None and abs(obj_i-last_table_index)<=2 and last_table_columns is not None and last_table_columns==table_columns:
  493. if last_table is not None:
  494. trs = getTrs(_table)
  495. last_tbody = BeautifulSoup(last_table["text"],"lxml")
  496. _table = last_tbody.find("table")
  497. last_trs = getTrs(_table)
  498. _append = True
  499. for _line in list_table:
  500. last_table["list_table"].append(_line)
  501. if len(last_trs)>0:
  502. for _tr in trs:
  503. last_trs[-1].insert_after(copy.copy(_tr))
  504. last_table["text"] = re.sub("</?html>|</?body>","",str(last_tbody))
  505. last_table_index = obj_i
  506. last_table_columns = len(list_table[-1])
  507. if not _append:
  508. _data = {"type":_type, "text":_text,"list_table":list_table,"line_width":len(_text),"sentence_title":sentence_title,"title_index":title_index,
  509. "sentence_title_text":sentence_title_text,"sentence_groups":sentence_groups,"parent_title":parent_title,
  510. "child_title":childs,"title_before":title_before,"title_after":title_after,"title_next":title_next,"next_index":next_index,
  511. "block":block,"has_product":has_product,
  512. "sentence_index":sentence_index,"wordOffset_begin":wordOffset_begin,"wordOffset_end":wordOffset_end
  513. }
  514. if _type=="table":
  515. last_table = _data
  516. last_table_index = obj_i
  517. if list_table:
  518. last_table_columns = last_table_columns = len(list_table[-1])
  519. if sentence_title is not None:
  520. if len(list_data)>0:
  521. if self.is_title_first(title_index):
  522. for i in range(1,len(list_data)+1):
  523. _d = list_data[-i]
  524. if _d["sentence_title"] is not None:
  525. _data["parent_title"] = _d
  526. _d["child_title"].append(_data)
  527. break
  528. else:
  529. _find = False
  530. for i in range(1,len(list_data)+1):
  531. if _find:
  532. break
  533. _d = list_data[-i]
  534. if _d.get("sentence_title")==sentence_title and title_before==_d["title_before"] and title_after==_d["title_after"]:
  535. if _d["next_index"]==title_index and _d["title_next"] is None and not _d["block"]:
  536. _data["parent_title"] = _d["parent_title"]
  537. _d["title_next"] = _data
  538. if len(_d["child_title"])>0:
  539. _d["child_title"][-1]["title_next"] = ""
  540. self.block_tree(_d["child_title"])
  541. if _d["parent_title"] is not None:
  542. _d["parent_title"]["child_title"].append(_data)
  543. _find = True
  544. break
  545. for i in range(1,len(list_data)+1):
  546. if _find:
  547. break
  548. _d = list_data[-i]
  549. if i==1 and not _d["block"] and _d.get("sentence_title")==sentence_title and title_before==_d["title_before"] and title_after==_d["title_after"]:
  550. _data["parent_title"] = _d["parent_title"]
  551. _d["title_next"] = _data
  552. if len(_d["child_title"])>0:
  553. _d["child_title"][-1]["title_next"] = ""
  554. self.block_tree(_d["child_title"])
  555. if _d["parent_title"] is not None:
  556. _d["parent_title"]["child_title"].append(_data)
  557. _find = True
  558. break
  559. title_before = standard_title_context(title_before)
  560. title_after = standard_title_context(title_after)
  561. for i in range(1,len(list_data)+1):
  562. if _find:
  563. break
  564. _d = list_data[-i]
  565. if _d.get("sentence_title")==sentence_title and title_before==standard_title_context(_d["title_before"]) and title_after==standard_title_context(_d["title_after"]):
  566. if _d["next_index"]==title_index and _d["title_next"] is None and not _d["block"]:
  567. _data["parent_title"] = _d["parent_title"]
  568. _d["title_next"] = _data
  569. if len(_d["child_title"])>0:
  570. _d["child_title"][-1]["title_next"] = ""
  571. self.block_tree(_d["child_title"])
  572. if _d["parent_title"] is not None:
  573. _d["parent_title"]["child_title"].append(_data)
  574. _find = True
  575. break
  576. for i in range(1,len(list_data)+1):
  577. if _find:
  578. break
  579. _d = list_data[-i]
  580. if not _d["block"] and _d.get("sentence_title")==sentence_title and title_before==standard_title_context(_d["title_before"]) and title_after==standard_title_context(_d["title_after"]):
  581. _data["parent_title"] = _d["parent_title"]
  582. _d["title_next"] = _data
  583. if len(_d["child_title"])>0:
  584. _d["child_title"][-1]["title_next"] = ""
  585. # self.block_tree(_d["child_title"])
  586. if _d["parent_title"] is not None:
  587. _d["parent_title"]["child_title"].append(_data)
  588. _find = True
  589. break
  590. for i in range(1,min(len(list_data)+1,20)):
  591. if _find:
  592. break
  593. _d = list_data[-i]
  594. if not _d["block"] and _d.get("sentence_title")==sentence_title and title_before==standard_title_context(_d["title_before"]):
  595. _data["parent_title"] = _d["parent_title"]
  596. _d["title_next"] = _data
  597. if len(_d["child_title"])>0:
  598. _d["child_title"][-1]["title_next"] = ""
  599. # self.block_tree(_d["child_title"])
  600. if _d["parent_title"] is not None:
  601. _d["parent_title"]["child_title"].append(_data)
  602. _find = True
  603. break
  604. if not _find:
  605. if len(list_data)>0:
  606. for i in range(1,len(list_data)+1):
  607. _d = list_data[-i]
  608. if _d.get("sentence_title") is not None:
  609. _data["parent_title"] = _d
  610. _d["child_title"].append(_data)
  611. break
  612. else:
  613. if len(list_data)>0:
  614. for i in range(1,len(list_data)+1):
  615. _d = list_data[-i]
  616. if _d.get("sentence_title") is not None:
  617. _data["parent_title"] = _d
  618. _d["child_title"].append(_data)
  619. break
  620. list_data.append(_data)
  621. for _data in list_data:
  622. childs = _data["child_title"]
  623. for c_i in range(len(childs)):
  624. cdata = childs[c_i]
  625. if cdata["has_product"]:
  626. continue
  627. else:
  628. if c_i>0:
  629. last_cdata = childs[c_i-1]
  630. if cdata["sentence_title"] is not None and last_cdata["sentence_title"] is not None and last_cdata["title_before"]==cdata["title_before"] and last_cdata["title_after"]==cdata["title_after"] and last_cdata["has_product"]:
  631. cdata["has_product"] = True
  632. if c_i<len(childs)-1:
  633. last_cdata = childs[c_i+1]
  634. if cdata["sentence_title"] is not None and last_cdata["sentence_title"] is not None and last_cdata["title_before"]==cdata["title_before"] and last_cdata["title_after"]==cdata["title_after"] and last_cdata["has_product"]:
  635. cdata["has_product"] = True
  636. for c_i in range(len(childs)):
  637. cdata = childs[len(childs)-1-c_i]
  638. if cdata["has_product"]:
  639. continue
  640. else:
  641. if c_i>0:
  642. last_cdata = childs[c_i-1]
  643. if cdata["sentence_title"] is not None and last_cdata["sentence_title"] is not None and last_cdata["title_before"]==cdata["title_before"] and last_cdata["title_after"]==cdata["title_after"] and last_cdata["has_product"]:
  644. cdata["has_product"] = True
  645. if c_i<len(childs)-1:
  646. last_cdata = childs[c_i+1]
  647. if cdata["sentence_title"] is not None and last_cdata["sentence_title"] is not None and last_cdata["title_before"]==cdata["title_before"] and last_cdata["title_after"]==cdata["title_after"] and last_cdata["has_product"]:
  648. cdata["has_product"] = True
  649. return list_data
  650. def standard_title_context(_title_context):
  651. return _title_context.replace("(","(").replace(")",")").replace(":",":").replace(":",";").replace(",",".").replace(",",".").replace("、",".").replace(".",".")
  652. def standard_product(sentence):
  653. return sentence.replace("(","(").replace(")",")")
  654. def extract_products(list_data,_product,_param_pattern = "产品名称|设备材料|采购内存|标的名称|采购内容|(标的|维修|系统|报价构成|商品|产品|物料|物资|货物|设备|采购品|采购条目|物品|材料|印刷品?|采购|物装|配件|资产|耗材|清单|器材|仪器|器械|备件|拍卖物|标的物|物件|药品|药材|药械|货品|食品|食材|品目|^品名|气体|标项|分项|项目|计划|包组|标段|[分子]?包|子目|服务|招标|中标|成交|工程|招标内容)[\))的]?([、\w]{,4}名称|内容|描述)|标的|标项|项目$|商品|产品|物料|物资|货物|设备|采购品|采购条目|物品|材料|印刷品|物装|配件|资产|招标内容|耗材|清单|器材|仪器|器械|备件|拍卖物|标的物|物件|药品|药材|药械|货品|食品|食材|菜名|^品目$|^品名$|^名称|^内容$"):
  655. _product = standard_product(_product)
  656. list_result = []
  657. list_table_products = []
  658. for _data_i in range(len(list_data)):
  659. _data = list_data[_data_i]
  660. _type = _data["type"]
  661. _text = _data["text"]
  662. if _type=="table":
  663. list_table = _data["list_table"]
  664. if list_table is None:
  665. continue
  666. _check = True
  667. max_length = max([len(a) for a in list_table])
  668. min_length = min([len(a) for a in list_table])
  669. if min_length<max_length/2:
  670. continue
  671. list_head_index = []
  672. _begin_index = 0
  673. head_cell_text = ""
  674. for line_i in range(len(list_table[:2])):
  675. line = list_table[line_i]
  676. line_text = ",".join([cell[0] for cell in line])
  677. for cell_i in range(len(line)):
  678. cell = line[cell_i]
  679. cell_text = cell[0]
  680. if len(cell_text)<10 and re.search(_param_pattern,cell_text) is not None and re.search("单价|数量|预算|限价|总价|品牌|规格|型号|用途|要求|采购量",line_text) is not None:
  681. _begin_index = line_i+1
  682. list_head_index.append(cell_i)
  683. for line_i in range(len(list_table)):
  684. line = list_table[line_i]
  685. for cell_i in list_head_index:
  686. if cell_i>=len(line):
  687. continue
  688. cell = line[cell_i]
  689. cell_text = cell[0]
  690. head_cell_text += cell_text
  691. # print("===head_cell_text",head_cell_text)
  692. if re.search("招标人|采购人|项目编号|项目名称|金额|^\d+$",head_cell_text) is not None:
  693. list_head_index = []
  694. for line in list_table:
  695. line_text = ",".join([cell[0] for cell in line])
  696. for cell_i in range(len(line)):
  697. cell = line[cell_i]
  698. cell_text = cell[0]
  699. if cell_text is not None and _product is not None and len(cell_text)<len(_product)*10 and cell_text.find(_product)>=0 and re.search("单价|数量|总价|规格|品牌|型号|用途|要求|采购量",line_text) is not None:
  700. list_head_index.append(cell_i)
  701. list_head_index = list(set(list_head_index))
  702. if len(list_head_index)>0:
  703. has_number = False
  704. for cell_i in list_head_index:
  705. table_products = []
  706. for line_i in range(_begin_index,len(list_table)):
  707. line = list_table[line_i]
  708. for _i in range(len(line)):
  709. cell = line[_i]
  710. cell_text = cell[0]
  711. if re.search("^\d+$",cell_text) is not None:
  712. has_number = True
  713. if cell_i>=len(line):
  714. continue
  715. cell = line[cell_i]
  716. cell_text = cell[0]
  717. if re.search(_param_pattern,cell_text) is None or has_number:
  718. if re.search("^[\da-zA-Z]+$",cell_text) is None:
  719. table_products.append(cell_text)
  720. if len(table_products)>0:
  721. logger.debug("table products %s"%(str(table_products)))
  722. if min([len(x) for x in table_products])>0 and max([len(x) for x in table_products])<=30:
  723. if re.search("招标人|代理人|预算|数量|交货期|品牌|产地","".join(table_products)) is None:
  724. list_table_products.append(table_products)
  725. _find = False
  726. for table_products in list_table_products:
  727. for _p in table_products:
  728. if is_similar(_product,_p,90):
  729. _find = True
  730. logger.debug("similar table_products %s"%(str(table_products)))
  731. list_result = list(set([a for a in table_products if len(a)>1 and len(a)<20 and re.search("费用|预算|合计|金额|万元|运费|^其他$",a) is None]))
  732. break
  733. if not _find:
  734. for table_products in list_table_products:
  735. list_result.extend(table_products)
  736. list_result = list(set([a for a in list_result if len(a)>1 and len(a)<30 and re.search("费用|预算|合计|金额|万元|运费",a) is None]))
  737. return list_result
  738. def get_childs(childs, max_depth=None):
  739. list_data = []
  740. for _child in childs:
  741. list_data.append(_child)
  742. childs2 = _child.get("child_title",[])
  743. if len(childs2)>0 and (max_depth==None or max_depth>0):
  744. for _child2 in childs2:
  745. if max_depth != None:
  746. list_data.extend(get_childs([_child2], max_depth-1))
  747. else:
  748. list_data.extend(get_childs([_child2], None))
  749. return list_data
  750. def get_range_data_by_childs(list_data,childs):
  751. range_data = []
  752. list_child = get_childs(childs)
  753. list_index = []
  754. set_child = set([id(x) for x in list_child])
  755. for _data_i in range(len(list_data)):
  756. _data = list_data[_data_i]
  757. _id = id(_data)
  758. if _id in set_child:
  759. list_index.append(_data_i)
  760. if len(list_index)>0:
  761. range_data = list_data[min(list_index):max(list_index)+1]
  762. return range_data
  763. def get_correct_product(product,products):
  764. list_data = []
  765. for p in products:
  766. is_sim = is_similar(product,p)
  767. _d = {"product":p,"distance":abs(len(product)-len(p)),"is_sim":is_sim}
  768. list_data.append(_d)
  769. list_data.sort(key=lambda x:x["distance"])
  770. for _d in list_data:
  771. is_sim = _d["is_sim"]
  772. if is_sim:
  773. if len(_d["product"])>len(product) and _d["product"].find(product)>=0:
  774. return product
  775. return _d["product"]
  776. return product
  777. def get_childs_text(childs,_product,products,is_begin=False,is_end=False):
  778. _text = ""
  779. end_next = False
  780. for _child in childs:
  781. child_text = _child.get("text")
  782. if child_text.find(_product)>=0:
  783. if not is_begin:
  784. is_begin = True
  785. if not end_next:
  786. if _child["sentence_title"] is not None and isinstance(_child["title_next"],dict) and _child["title_next"]["sentence_title"] is not None:
  787. end_next = True
  788. end_title = _child["title_next"]
  789. logger.debug("end_title %s "%end_title["text"])
  790. logger.debug("%s-%s-%s"%("get_childs_text",child_text[:10],str(is_begin)))
  791. for p in products:
  792. if child_text.find(p)>=0 and is_similar(_product,p,90):
  793. is_begin = True
  794. if child_text.find(_product)<0 and not is_similar(_product,p,80) and (child_text.find(p)>=0 or _child["has_product"]):
  795. if is_begin:
  796. is_end = True
  797. logger.debug("%s-%s-%s"%("get_childs_text end",child_text[:10],p))
  798. break
  799. if re.search(end_pattern,child_text) is not None:
  800. if is_begin:
  801. is_end = True
  802. logger.debug("%s-%s-%s"%("get_childs_text end",child_text[:10],str(is_end)))
  803. if is_begin and is_end:
  804. break
  805. if is_begin:
  806. _text += _child.get("text")+"\r\n"
  807. childs2 = _child.get("child_title",[])
  808. if len(childs2)>0:
  809. for _child2 in childs2:
  810. child_text,is_begin,is_end = get_childs_text([_child2],_product,products,is_begin)
  811. if is_begin:
  812. _text += child_text
  813. if is_end:
  814. break
  815. if end_next:
  816. is_end = True
  817. # logger.debug("%s-%s-%s"%("get_childs_text1",_text,str(is_begin)))
  818. # logger.debug("%s-%s-%s"%("get_childs_text2",_text,str(is_begin)))
  819. return _text,is_begin,is_end
  820. def extract_parameters_by_tree(_product,products,list_data,_data_i,parent_title,list_result,):
  821. _data = list_data[_data_i]
  822. childs = _data.get("child_title",[])
  823. if len(childs)>0:
  824. child_text,_,_ = get_childs_text([_data],_product,products)
  825. if len(child_text)>0:
  826. logger.info("extract_type by_tree child_text:%s"%child_text)
  827. list_result.append(child_text)
  828. if parent_title is not None:
  829. child_text,_,_ = get_childs_text([parent_title],_product,products)
  830. if len(child_text)>0:
  831. logger.info("extract_type by_tree child_text:%s"%child_text)
  832. list_result.append(child_text)
  833. childs = parent_title.get("child_title",[])
  834. if len(childs)>0:
  835. range_data = get_range_data_by_childs(list_data[_data_i:],childs)
  836. p_text = ""
  837. _find = False
  838. end_id = id(_data["title_next"]) if isinstance(_data["sentence_title"],dict) and _data["title_next"] is not None and _data["title_next"]["sentence_title"] is not None else None
  839. for pdata in range_data:
  840. ptext = pdata["text"]
  841. for p in products:
  842. if ptext.find(_product)<0 and (ptext.find(p)>=0 or pdata["has_product"]):
  843. _find = True
  844. break
  845. if re.search(end_pattern,ptext) is not None:
  846. _find = True
  847. if _find:
  848. break
  849. if id(pdata)==end_id:
  850. break
  851. p_text += ptext+"\r\n"
  852. if len(p_text)>0:
  853. logger.debug("extract_type by parent range_text:%s"%p_text)
  854. list_result.append(p_text)
  855. return True
  856. return False
  857. def get_table_pieces(_text,_product,products,list_result,_find):
  858. _soup = BeautifulSoup(_text,"lxml")
  859. _table = _soup.find("table")
  860. if _table is not None:
  861. trs = getTrs(_table)
  862. list_trs = []
  863. for tr in trs:
  864. tr_text = tr.get_text()
  865. if tr_text.find(_product)>=0:
  866. _find = True
  867. logger.debug("%s-%s"%("table_html_tr",tr_text))
  868. for p in products:
  869. if _find and p!=_product and tr_text.find(p)>=0:
  870. _find = False
  871. break
  872. if re.search(end_pattern,tr_text) is not None:
  873. _find = False
  874. break
  875. if _find:
  876. list_trs.append(tr)
  877. if len(list_trs)>0:
  878. table_html = "<table>%s</table>"%("\r\n".join([str(a) for a in list_trs]))
  879. logger.debug("extract_type table slices %s"%(table_html))
  880. list_result.append(table_html)
  881. def extract_parameters_by_table(_product,products,_param_pattern,list_data,_data_i,list_result):
  882. _data = list_data[_data_i]
  883. _text = _data["text"]
  884. list_table = _data["list_table"]
  885. parent_title = _data["parent_title"]
  886. if list_table is not None:
  887. _check = True
  888. max_length = max([len(a) for a in list_table])
  889. min_length = min([len(a) for a in list_table])
  890. text_line_first = ",".join(a[0] for a in list_table[0])
  891. if max_length>10:
  892. if min_length<max_length/2:
  893. return
  894. last_data = list_data[_data_i-1]
  895. _flag = False
  896. if last_data["type"]=="sentence" and last_data["text"].find(_product)>=0:
  897. logger.debug("last sentence find product %s-%s"%(_product,last_data["text"]))
  898. _flag = True
  899. # print(text_line_first,"text_line_first",re.search(_param_pattern,text_line_first) is not None and text_line_first.find(_product)>=0)
  900. if re.search(_param_pattern,text_line_first) is not None and text_line_first.find(_product)>=0:
  901. _flag = True
  902. if _flag:
  903. if len(products)==0:
  904. logger.debug("extract_type whole table by param and product %s"%(_text))
  905. list_result.append(_text)
  906. else:
  907. for p in products:
  908. if p!=_product and _text.find(p)>=0:
  909. logger.debug("extract_type add all table failed %s-%s"%(_product,p))
  910. _flag = False
  911. break
  912. if _flag:
  913. logger.debug("extract_type add all table succeed")
  914. get_table_pieces(_text,_product,products,list_result,True)
  915. else:
  916. list_head_index = []
  917. for line in list_table[:2]:
  918. for cell_i in range(len(line)):
  919. cell = line[cell_i]
  920. cell_text = cell[0]
  921. if len(cell_text)<20 and re.search(_param_pattern,cell_text) is not None:
  922. list_head_index.append(cell_i)
  923. list_head_index = list(set(list_head_index))
  924. for line in list_table:
  925. for cell in line:
  926. cell_text = cell[0]
  927. if len(cell_text)>50 and len(re.findall(meter_pattern,cell_text))>5 and cell_text.find(_product)>=0:
  928. _f = True
  929. for cell in line:
  930. if not _f:
  931. break
  932. cell_text = cell[0]
  933. for p in products:
  934. if cell_text.find(p)>=0 and p!=_product:
  935. _f = False
  936. break
  937. if _f:
  938. logger.debug("extract_type param column %s"%(cell_text))
  939. list_result.append(cell_text)
  940. if len(cell_text)<len(_product)*10 and str(cell_text).find(_product)>=0:
  941. for _index in list_head_index:
  942. if _index>=len(line):
  943. continue
  944. _cell = line[_index]
  945. if len(cell[0])>0:
  946. logger.info("%s-%s"%("extract_type add on table text:",_cell[0]))
  947. list_result.append(_cell[0])
  948. if not _flag and (re.search(_param_pattern,_text) is not None or (parent_title is not None and re.search(_param_pattern,parent_title["text"]) is not None)) and _text.find(_product)>=0:
  949. get_table_pieces(_text,_product,products,list_result,False)
  950. def extract_parameters_by_sentence(list_data,_data,_data_i,_product,products,list_result,is_project):
  951. _text = _data["text"]
  952. if _text.find(_product)>=0:
  953. parent_title = _data.get("parent_title")
  954. parent_text = ""
  955. parent_parent_title = None
  956. parent_parent_text = ""
  957. parent_title_index = None
  958. parent_parent_title_index = None
  959. childs = get_childs([_data])
  960. child_find = False
  961. for c in childs:
  962. if re.search(_param_pattern,c["text"]) is not None and len(c["text"])<30:
  963. logger.debug("child text %s"%(c["text"]))
  964. child_find = True
  965. break
  966. extract_text,_,_ = get_childs_text([_data],_product,products)
  967. logger.debug("childs found extract_text %s %s"%(str(child_find),extract_text))
  968. if child_find:
  969. if len(extract_text)>0:
  970. list_result.append(extract_text)
  971. else:
  972. limit_nums = len(_product)*2+5
  973. if len(_product)<=3:
  974. limit_nums += 6
  975. if _text.find("数量")>=0:
  976. limit_nums += 6
  977. if len(_text)<=limit_nums and _data["sentence_title"] is not None:
  978. if re.search(meter_pattern,extract_text) is not None:
  979. list_result.append(extract_text)
  980. elif len(re.findall(meter_pattern,extract_text))>2:
  981. list_result.append(extract_text)
  982. if parent_title is not None:
  983. parent_text = parent_title.get("text","")
  984. parent_parent_title = parent_title.get("parent_title")
  985. parent_title_index = parent_title["title_index"]
  986. if parent_parent_title is not None:
  987. parent_parent_text = parent_parent_title.get("text","")
  988. parent_parent_title_index = parent_parent_title["title_index"]
  989. _suit = False
  990. if re.search(_param_pattern,_text) is not None and len(_text)<50:
  991. _suit = True
  992. if re.search(_param_pattern,parent_text) is not None and len(parent_text)<50:
  993. _suit = True
  994. if re.search(_param_pattern,parent_parent_text) is not None and len(parent_parent_text)<50:
  995. _suit = True
  996. if _suit:
  997. logger.debug("extract_type sentence %s"%("extract_parameters_by_tree"))
  998. if not extract_parameters_by_tree(_product,products,list_data,_data_i,parent_title,list_result):
  999. logger.debug("extract_type sentence %s"%("extract_parameters_by_tree"))
  1000. extract_parameters_by_tree(_product,products,list_data,_data_i,parent_parent_title,list_result)
  1001. if re.search(_param_pattern,_text) is not None and len(_text)<50:
  1002. childs = _data["child_title"]
  1003. if len(childs)>0:
  1004. extract_text,_,_ = get_childs_text([_data],_product,products)
  1005. if len(extract_text)>0:
  1006. logger.debug("extract_type param-product %s"%(extract_text))
  1007. list_result.append(extract_text)
  1008. elif is_project:
  1009. extract_text,_,_ = get_childs_text([_data],_product,products,is_begin=True)
  1010. if len(extract_text)>0 and re.search(meter_pattern,extract_text) is not None:
  1011. logger.debug("extract_type sentence is_project param-product is product %s"%(extract_text))
  1012. list_result.append(extract_text)
  1013. def getBestProductText(list_result,_product,products):
  1014. list_result.sort(key=lambda x:len(re.findall(meter_pattern+"|"+'[::;;]|\d+[%A-Za-z]+',BeautifulSoup(x,"lxml").get_text())), reverse=True)
  1015. logger.debug("+++++++++++++++++++++")
  1016. for i in range(len(list_result)):
  1017. logger.debug("result%d %s"%(i,list_result[i]))
  1018. logger.debug("+++++++++++++++++++++")
  1019. for i in range(len(list_result)):
  1020. _result = list_result[i]
  1021. _check = True
  1022. _result_text = BeautifulSoup(_result,"lxml").get_text()
  1023. _search = re.search("项目编号[::]|项目名称[::]|联合体投标|开户银行",_result)
  1024. if _search is not None:
  1025. logger.debug("result%d error illegal text %s"%(i,str(_search)))
  1026. _check = False
  1027. if not (len(_result_text)<1000 and _result[:6]!="<table"):
  1028. for p in products:
  1029. if _result_text.find(p)>0 and not (is_similar(_product,p,80) or p.find(_product)>=0 or _product.find(p)>=0):
  1030. logger.debug("result%d error product scoss %s"%(i,p))
  1031. _check = False
  1032. if len(_result_text)<100:
  1033. if re.search(meter_pattern,_result_text) is None:
  1034. logger.debug("result%d error text min count"%(i))
  1035. _check = False
  1036. if len(_result_text)>5000:
  1037. if len(_result_text)>10000:
  1038. logger.debug("result%d error text max count"%(i))
  1039. _check = False
  1040. elif len(re.findall(meter_pattern,_result_text))<10:
  1041. logger.debug("result%d error text max count less meter"%(i))
  1042. _check = False
  1043. list_find = list(set(re.findall(meter_pattern,_result_text)))
  1044. not_list_find = list(set(re.findall(not_meter_pattern,_result_text)))
  1045. _count = len(list_find)-len(not_list_find)
  1046. has_num = False
  1047. for _find in list_find:
  1048. if re.search('[0-9a-zA-Z]',_find) is not None:
  1049. has_num = True
  1050. break
  1051. if not(_count>=2 and has_num or _count>=5):
  1052. logger.debug("result%d error match not enough"%(i))
  1053. _check = False
  1054. if _check:
  1055. return _result
  1056. def format_text(_result):
  1057. list_result = re.split("\r|\n",_result)
  1058. _result = ""
  1059. for _r in list_result:
  1060. if len(_r)>0:
  1061. _result+="%s\n"%(_r)
  1062. _result = '<div style="white-space:pre">%s</div>'%(_result)
  1063. return _result
  1064. def extract_product_parameters(list_data,_product):
  1065. list_result = []
  1066. _product = standard_product(_product.strip())
  1067. products = extract_products(list_data,_product)
  1068. _product = get_correct_product(_product,products)
  1069. logger.debug("all products %s-%s"%(_product,str(products)))
  1070. is_project = False
  1071. if re.search("项目名称|采购项目",_product) is not None:
  1072. is_project = True
  1073. if len(products)==1 and is_similar(products[0],_product,90):
  1074. is_project = True
  1075. _find_count = 0
  1076. for _data_i in range(len(list_data)):
  1077. _data = list_data[_data_i]
  1078. _type = _data["type"]
  1079. _text = _data["text"]
  1080. if _type=="sentence":
  1081. if _text.find(_product)>=0:
  1082. _find_count += 1
  1083. if re.search("项目名称|采购项目",_text) is not None and re.search("等",_text) is not None:
  1084. is_project = True
  1085. extract_parameters_by_sentence(list_data,_data,_data_i,_product,products,list_result,is_project)
  1086. elif _type=="table":
  1087. if _text.find(_product)>=0:
  1088. _find_count += 1
  1089. extract_parameters_by_table(_product,products,_param_pattern,list_data,_data_i,list_result)
  1090. _text = getBestProductText(list_result,_product,products)
  1091. return _text,_find_count
  1092. if __name__ == '__main__':
  1093. filepath = "download/4597dcc128bfabc7584d10590ae50656.html"
  1094. _product = "彩色多普勒超声诊断仪"
  1095. _html = open(filepath, "r", encoding="utf8").read()
  1096. pd = ParseDocument(_html,False)
  1097. pd.fix_tree(_product)
  1098. list_data = pd.tree
  1099. pd.print_tree(list_data)
  1100. _text,_count = extract_product_parameters(list_data,_product)
  1101. logger.info("find count:%d"%(_count))
  1102. logger.info("extract_parameter_text::%s"%(_text))