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@@ -1,6 +1,111 @@
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+#coding:utf8
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from odps.udf import annotate
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-from odps.udf import BaseUDTF
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+from odps.udf import BaseUDTF,BaseUDAF
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+from odps.distcache import get_cache_archive
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+from odps.distcache import get_cache_file
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+import copy
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+import sys,os,re
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+
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+import threading
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+import logging
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+logging.basicConfig(level = logging.INFO,format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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+import time
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+from multiprocessing import Process,Queue
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+
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+def log(msg):
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+ logging.info(msg)
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+
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+
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+# 配置pandas依赖包
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+def include_package_path(res_name):
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+ import os, sys
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+ archive_files = get_cache_archive(res_name)
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+ dir_names = sorted([os.path.dirname(os.path.normpath(f.name)) for f in archive_files
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+ if '.dist_info' not in f.name], key=lambda v: len(v))
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+ _path = dir_names[0].split(".zip/files")[0]+".zip/files"
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+ log("add path:%s"%(_path))
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+ sys.path.append(_path)
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+ return _path
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+
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+# 可能出现类似RuntimeError: xxx has been blocked by sandbox
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+# 这是因为包含C的库，会被沙盘block，可设置set odps.isolation.session.enable = true
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+def include_file(file_name):
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+ import os, sys
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+ so_file = get_cache_file(file_name)
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+ sys.path.append(os.path.dirname(os.path.abspath(so_file.name)))
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+
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+def include_so(file_name):
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+ import os, sys
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+ so_file = get_cache_file(file_name)
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+
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+ with open(so_file.name, 'rb') as fp:
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+ content=fp.read()
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+ so = open(file_name, "wb")
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+ so.write(content)
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+ so.flush()
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+ so.close()
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+
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+#初始化业务数据包，由于上传限制,python版本以及archive解压包不统一等各种问题，需要手动导入
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+def init_env(list_files,package_name):
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+ import os,sys
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+
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+ if len(list_files)==1:
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+ so_file = get_cache_file(list_files[0])
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+ cmd_line = os.path.abspath(so_file.name)
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+ os.system("unzip -o %s -d %s"%(cmd_line,package_name))
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+ elif len(list_files)>1:
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+ cmd_line = "cat"
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+ for _file in list_files:
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+ so_file = get_cache_file(_file)
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+ cmd_line += " "+os.path.abspath(so_file.name)
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+ cmd_line += " > temp.zip"
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+ os.system(cmd_line)
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+ os.system("unzip -o temp.zip -d %s"%(package_name))
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+ # os.system("rm -rf %s/*.dist-info"%(package_name))
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+ # return os.listdir(os.path.abspath("local_package"))
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+ # os.system("echo export LD_LIBRARY_PATH=%s >> ~/.bashrc"%(os.path.abspath("local_package")))
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+ # os.system("source ~/.bashrc")
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+ sys.path.insert(0,os.path.abspath(package_name))
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+
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+ # sys.path.append(os.path.join(os.path.abspath("local_package"),"interface_real"))
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+def multiLoadEnv():
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+ def load_project():
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+ start_time = time.time()
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+ ## init_env(["BiddingKG.zip.env.baseline"],str(uuid.uuid4()))
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+ # init_env(["BiddingKG.zip.env.backup"],str(uuid.uuid4()))
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+ #改为zip引入
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+ log("=======")
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+ include_package_path("BiddingKG.baseline.zip")
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+ # include_package_path("BiddingKG.backup.zip")
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+ logging.info("init biddingkg.zip.env.line cost %d"%(time.time()-start_time))
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+
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+ def load_vector():
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+ start_time = time.time()
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+ # init_env(["wiki_128_word_embedding_new.vector.env"],".")
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+ include_package_path("wiki.zip")
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+ logging.info("init wiki_128_word_embedding_new cost %d"%(time.time()-start_time))
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+
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+ start_time = time.time()
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+ # init_env(["enterprise.zip.env"],".")
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+ # init_env(["LEGAL_ENTERPRISE.zip.env"],".")
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+ include_package_path("enterprise.zip")
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+ logging.info("init legal_enterprise.zip.env cost %d"%(time.time()-start_time))
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+
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+ start_time = time.time()
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+ init_env(["so.env"],".")
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+ logging.info("init so.env cost %d"%(time.time()-start_time))
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+
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+ def load_py():
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+ start_time = time.time()
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+ # self.out = init_env(["envs_py37.zip.env"],str(uuid.uuid4()))
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+ include_package_path("envs_py37.env.zip")
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+ # include_package_path("envs_py35.zip")
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+ logging.info("init envs_py cost %d"%(time.time()-start_time))
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+
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+ load_project()
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+ load_vector()
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+ load_py()
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@annotate('string -> string')
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class f_analysis_type(BaseUDTF):
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@@ -38,3 +143,834 @@ class f_analysis_type(BaseUDTF):
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if len(list_match)>0:
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self.forward(",".join(list_match))
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+
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+#数据清洗
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+def segment(soup,final=True):
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+ # print("==")
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+ # print(soup)
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+ # print("====")
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+ #segList = ["tr","div","h1", "h2", "h3", "h4", "h5", "h6", "header"]
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+ subspaceList = ["td",'a',"span","p"]
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+ if soup.name in subspaceList:
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+ #判断有值叶子节点数
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+ _count = 0
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+ for child in soup.find_all(recursive=True):
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+ if child.get_text().strip()!="" and len(child.find_all())==0:
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+ _count += 1
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+ if _count<=1:
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+ text = soup.get_text()
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+ # 2020/11/24 大网站规则添加
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+ if 'title' in soup.attrs:
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+ if '...' in soup.get_text() and soup.get_text().strip()[:-3] in soup.attrs['title']:
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+ text = soup.attrs['title']
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+
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+ _list = []
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+ for x in re.split("\s+",text):
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+ if x.strip()!="":
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+ _list.append(len(x))
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+ if len(_list)>0:
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+ _minLength = min(_list)
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+ if _minLength>2:
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+ _substr = "，"
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+ else:
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+ _substr = ""
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+ else:
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+ _substr = ""
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+
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+ text = text.replace("\r\n","，").replace("\n","，")
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+ text = re.sub("\s+",_substr,text)
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+ # text = re.sub("\s+","##space##",text)
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+ return text
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+ segList = ["title"]
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+ commaList = ["div","br","td","p","li"]
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+ #commaList = []
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+ spaceList = ["span"]
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+ tbodies = soup.find_all('tbody')
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+ if len(tbodies) == 0:
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+ tbodies = soup.find_all('table')
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+ # 递归遍历所有节点,插入符号
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+ for child in soup.find_all(recursive=True):
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+ # print(child.name,child.get_text())
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+ if child.name in segList:
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+ child.insert_after("。")
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+ if child.name in commaList:
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+ child.insert_after("，")
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+ # if child.name == 'div' and 'class' in child.attrs:
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+ # # 添加附件"attachment"标识
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+ # if "richTextFetch" in child['class']:
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+ # child.insert_before("##attachment##")
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+ # print(child.parent)
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+ # if child.name in subspaceList:
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+ # child.insert_before("#subs"+str(child.name)+"#")
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+ # child.insert_after("#sube"+str(child.name)+"#")
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+ # if child.name in spaceList:
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+ # child.insert_after(" ")
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+ text = str(soup.get_text())
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+ #替换英文冒号为中文冒号
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+ text = re.sub("(?<=[\u4e00-\u9fa5]):|:(?=[\u4e00-\u9fa5])","：",text)
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+ #替换为中文逗号
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+ text = re.sub("(?<=[\u4e00-\u9fa5]),|,(?=[\u4e00-\u9fa5])","，",text)
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+ #替换为中文分号
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+ text = re.sub("(?<=[\u4e00-\u9fa5]);|;(?=[\u4e00-\u9fa5])","；",text)
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+ # 感叹号替换为中文句号
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+ text = re.sub("(?<=[\u4e00-\u9fa5])[!！]|[!！](?=[\u4e00-\u9fa5])","。",text)
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+ #替换格式未识别的问号为" " ,update:2021/7/20
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+ text = re.sub("[？\?]{2,}|\n"," ",text)
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+
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+
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+ #替换"""为"“",否则导入deepdive出错
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+ # text = text.replace('"',"“").replace("\r","").replace("\n","，")
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+ text = text.replace('"',"“").replace("\r","").replace("\n","").replace("\\n","") #2022/1/4修复 非分段\n 替换为逗号造成 公司拆分 span \n南航\n上海\n分公司
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+ # print('==1',text)
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+ # text = re.sub("\s{4,}","，",text)
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+ # 解决公告中的" "空格替换问题
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+ if re.search("\s{4,}",text):
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+ _text = ""
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+ for _sent in re.split("。+",text):
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+ for _sent2 in re.split('，+',_sent):
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+ for _sent3 in re.split("：+",_sent2):
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+ for _t in re.split("\s{4,}",_sent3):
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+ if len(_t)<3:
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+ _text += _t
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+ else:
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+ _text += "，"+_t
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+ _text += "："
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+ _text = _text[:-1]
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+ _text += "，"
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+ _text = _text[:-1]
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+ _text += "。"
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+ _text = _text[:-1]
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+ text = _text
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+ # print('==2',text)
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+ #替换标点
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+
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+ #替换连续的标点
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+
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+ if final:
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+ text = re.sub("##space##"," ",text)
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+
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+ punc_pattern = "(?P<del>[。，；：:,\s]+)"
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+
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+ list_punc = re.findall(punc_pattern,text)
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+ list_punc.sort(key=lambda x:len(x),reverse=True)
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+ for punc_del in list_punc:
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+ if len(punc_del)>1:
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+ if len(punc_del.strip())>0:
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+ if "：" in punc_del.strip():
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+ if "。" in punc_del.strip():
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+ text = re.sub(punc_del, "：。", text)
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+ else:
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+ text = re.sub(punc_del,"：",text)
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+ else:
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+ text = re.sub(punc_del,punc_del.strip()[0],text) #2021/12/09 修正由于某些标签后插入符号把原来符号替换
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+ else:
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+ text = re.sub(punc_del,"",text)
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+
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+
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+ #将连续的中文句号替换为一个
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+ text_split = text.split("。")
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+ text_split = [x for x in text_split if len(x)>0]
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+ text = "。".join(text_split)
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+
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+ # #删除标签中的所有空格
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+ # for subs in subspaceList:
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+ # patten = "#subs"+str(subs)+"#(.*?)#sube"+str(subs)+"#"
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+ # while(True):
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+ # oneMatch = re.search(re.compile(patten),text)
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+ # if oneMatch is not None:
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+ # _match = oneMatch.group(1)
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+ # text = text.replace("#subs"+str(subs)+"#"+_match+"#sube"+str(subs)+"#",_match)
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+ # else:
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+ # break
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+
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+ # text过大报错
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+ LOOP_LEN = 10000
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+ LOOP_BEGIN = 0
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+ _text = ""
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+
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+
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+
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+ if len(text)<10000000:
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+ while(LOOP_BEGIN<len(text)):
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+ _text += re.sub("）",")",re.sub("（","(",re.sub("\s+","",text[LOOP_BEGIN:LOOP_BEGIN+LOOP_LEN])))
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+ LOOP_BEGIN += LOOP_LEN
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+ text = _text
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+ # 附件标识前修改为句号，避免正文和附件内容混合在一起
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+ text = re.sub("[^。](?=##attachment##)","。",text)
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+ text = re.sub("[^。](?=##attachment_begin##)","。",text)
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+ text = re.sub("[^。](?=##attachment_end##)","。",text)
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+ text = re.sub("##attachment_begin##。","##attachment_begin##",text)
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+ text = re.sub("##attachment_end##。","##attachment_end##",text)
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+
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+ return text
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+def fixSpan(tbody):
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+ # 处理colspan, rowspan信息补全问题
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+ #trs = tbody.findChildren('tr', recursive=False)
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+
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+ trs = getTrs(tbody)
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+ ths_len = 0
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+ ths = list()
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+ #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
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+ # 遍历每一个tr
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+
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+ for indtr, tr in enumerate(trs):
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+ ths_tmp = tr.findChildren('th', recursive=False)
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+ #不补全含有表格的tr
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+ if len(tr.findChildren('table'))>0:
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+ continue
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+ if len(ths_tmp) > 0:
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+ ths_len = ths_len + len(ths_tmp)
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+ for th in ths_tmp:
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+ ths.append(th)
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+ # 遍历每行中的element
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+ tds = tr.findChildren(recursive=False)
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+ for indtd, td in enumerate(tds):
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+ # 若有colspan 则补全同一行下一个位置
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+ if 'colspan' in td.attrs:
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+ if str(re.sub("[^0-9]","",str(td['colspan'])))!="":
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+ col = int(re.sub("[^0-9]","",str(td['colspan'])))
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+ if col<100 and len(td.get_text())<1000:
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+ td['colspan'] = 1
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+ for i in range(1, col, 1):
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+ td.insert_after(copy.copy(td))
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+
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+ for indtr, tr in enumerate(trs):
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+ ths_tmp = tr.findChildren('th', recursive=False)
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+ #不补全含有表格的tr
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+ if len(tr.findChildren('table'))>0:
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+ continue
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+ if len(ths_tmp) > 0:
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+ ths_len = ths_len + len(ths_tmp)
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+ for th in ths_tmp:
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+ ths.append(th)
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+ # 遍历每行中的element
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+ tds = tr.findChildren(recursive=False)
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+ for indtd, td in enumerate(tds):
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+ # 若有rowspan 则补全下一行同样位置
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+ if 'rowspan' in td.attrs:
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+ if str(re.sub("[^0-9]","",str(td['rowspan'])))!="":
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+ row = int(re.sub("[^0-9]","",str(td['rowspan'])))
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+ td['rowspan'] = 1
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+ for i in range(1, row, 1):
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+ # 获取下一行的所有td， 在对应的位置插入
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+ if indtr+i<len(trs):
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+ tds1 = trs[indtr + i].findChildren(['td','th'], recursive=False)
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+ if len(tds1) >= (indtd) and len(tds1)>0:
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+ if indtd > 0:
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+ tds1[indtd - 1].insert_after(copy.copy(td))
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+ else:
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+ tds1[0].insert_before(copy.copy(td))
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+ 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
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+ tds1[indtd-2].insert_after(copy.copy(td))
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+def getTable(tbody):
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+ #trs = tbody.findChildren('tr', recursive=False)
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+ trs = getTrs(tbody)
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+ inner_table = []
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+ for tr in trs:
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+ tr_line = []
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+ tds = tr.findChildren(['td','th'], recursive=False)
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|
+ if len(tds)==0:
|
|
|
+ tr_line.append([re.sub('\xa0','',segment(tr,final=False)),0]) # 2021/12/21 修复部分表格没有td 造成数据丢失
|
|
|
+ for td in tds:
|
|
|
+ tr_line.append([re.sub('\xa0','',segment(td,final=False)),0])
|
|
|
+ #tr_line.append([td.get_text(),0])
|
|
|
+ inner_table.append(tr_line)
|
|
|
+ return inner_table
|
|
|
+
|
|
|
+def getTrs(tbody):
|
|
|
+ #获取所有的tr
|
|
|
+ trs = []
|
|
|
+ objs = tbody.find_all(recursive=False)
|
|
|
+ for obj in objs:
|
|
|
+ if obj.name=="tr":
|
|
|
+ trs.append(obj)
|
|
|
+ if obj.name=="tbody":
|
|
|
+ for tr in obj.find_all("tr",recursive=False):
|
|
|
+ trs.append(tr)
|
|
|
+ return trs
|
|
|
+
|
|
|
+#处理表格不对齐的问题
|
|
|
+def fixTable(inner_table,fix_value=""):
|
|
|
+ maxWidth = 0
|
|
|
+ for item in inner_table:
|
|
|
+ if len(item)>maxWidth:
|
|
|
+ maxWidth = len(item)
|
|
|
+ if maxWidth > 100:
|
|
|
+ # log('表格列数大于100，表格异常不做处理。')
|
|
|
+ return []
|
|
|
+ for i in range(len(inner_table)):
|
|
|
+ if len(inner_table[i])<maxWidth:
|
|
|
+ for j in range(maxWidth-len(inner_table[i])):
|
|
|
+ inner_table[i].append([fix_value,0])
|
|
|
+ return inner_table
|
|
|
+
|
|
|
+def getTableText(inner_table):
|
|
|
+ height = len(inner_table)
|
|
|
+ table_text = []
|
|
|
+ if height>0:
|
|
|
+ width = len(inner_table[0])
|
|
|
+ for _h in range(height):
|
|
|
+ _line = []
|
|
|
+ for _w in range(width):
|
|
|
+ _line.append(inner_table[_h][_w][0])
|
|
|
+ table_text.append(_line)
|
|
|
+ return table_text
|
|
|
+
|
|
|
+@annotate('string -> string')
|
|
|
+class f_table_preprocess(BaseUDTF):
|
|
|
+ '''
|
|
|
+ 获取所有的表格并返回表格数组的json
|
|
|
+ '''
|
|
|
+ def __init__(self):
|
|
|
+ import logging
|
|
|
+ import json
|
|
|
+ import time,re
|
|
|
+
|
|
|
+ global json,logging,time,re
|
|
|
+ self.time_pattern = "\d{4}\-\d{2}\-\d{2}.*"
|
|
|
+ logging.basicConfig(level = logging.INFO,format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
|
|
|
+ include_package_path("envs_py37.env.zip")
|
|
|
+ from bs4 import BeautifulSoup
|
|
|
+ global BeautifulSoup
|
|
|
+
|
|
|
+
|
|
|
+ def process(self, dochtmlcon):
|
|
|
+ if dochtmlcon is not None:
|
|
|
+ _soup = BeautifulSoup(dochtmlcon,"lxml")
|
|
|
+ richText = _soup.find("div",attrs={"class":"richTextFetch"})
|
|
|
+ if richText is not None:
|
|
|
+ richText.decompose()
|
|
|
+ list_table = _soup.find_all("table")
|
|
|
+ list_table.reverse()
|
|
|
+ for tbody in list_table:
|
|
|
+ fixSpan(tbody)
|
|
|
+ inner_table = getTable(tbody)
|
|
|
+ inner_table = fixTable(inner_table)
|
|
|
+ list_text = getTableText(inner_table)
|
|
|
+ print(list_text)
|
|
|
+ table_text_json = json.dumps(list_text,ensure_ascii=False)
|
|
|
+ if len(table_text_json)<200000:
|
|
|
+ self.forward(table_text_json)
|
|
|
+ tbody.decompose()
|
|
|
+ list_table = _soup.find_all("tbody")
|
|
|
+ list_table.reverse()
|
|
|
+ for tbody in list_table:
|
|
|
+ fixSpan(tbody)
|
|
|
+ inner_table = getTable(tbody)
|
|
|
+ inner_table = fixTable(inner_table)
|
|
|
+ list_text = getTableText(inner_table)
|
|
|
+ table_text_json = json.dumps(list_text,ensure_ascii=False)
|
|
|
+ if len(table_text_json)<200000:
|
|
|
+ self.forward(table_text_json)
|
|
|
+
|
|
|
+
|
|
|
+def get_top_n_words(list_words,n,skip_punctuation=True):
|
|
|
+ top_n_words = []
|
|
|
+ for _word in list_words:
|
|
|
+ if skip_punctuation and _word in (',',"。","，","：","(","（",")","）",""):
|
|
|
+ continue
|
|
|
+ top_n_words.append(_word)
|
|
|
+ if len(top_n_words)>=n:
|
|
|
+ break
|
|
|
+ return top_n_words
|
|
|
+
|
|
|
+
|
|
|
+time_pattern = re.compile("^\d{4}[\-年/]\d{2}[\-月/]\d{2}日?(\s*\d{2}[:时]\d{2}[:分]\d{2})?$")
|
|
|
+time_pattern_cn = re.compile("\d{4}[年]\d{1,2}[月]\d{1,2}日?")
|
|
|
+phone_pattern = re.compile('^(1[3|4|5|7|8|9][0-9][-|——|—]?\d{4}[-|——|—]?\d{4}|\d{3,4}[-|——|—]\d{7,8}/\d{3,8}|\d{3,4}[-|——|—]\d{7,8}转\d{1,4}|\d{3,4}[-|——|—]\d{7,8}|[\（|\(]0\d{2,3}[\）|\)]\d{7,8})$') # 联系电话
|
|
|
+list_money_pattern = {"cn":"(()()(?P<money_cn>[零壹贰叁肆伍陆柒捌玖拾佰仟萬億圆十百千万亿元角分]{3,})())",
|
|
|
+ "key_word": "((?P<text_key_word>(?:[￥¥]+，?|[单报标限总]价|金额|成交报?价|价格|预算(金额)?|(监理|设计|勘察)(服务)?费|标的基本情况|CNY|成交结果|成交额|中标额)(?:[,，（\(]*\s*(人民币)?(?P<unit_key_word_before>[万亿]?(?:[美日欧]元|元)?(?P<filter_unit2>[台个只吨]*))\s*(/?费率)?(人民币)?[）\)]?)\s*[，,:：]*(\s*[^壹贰叁肆伍陆柒捌玖拾佰仟萬億分万元编号时间日期计采a-zA-Z]{,8}?))(第[123一二三]名[：:])?(\d+(\*\d+%)+=)?(?P<money_key_word>-*[0-9][\d,]*(?:\.\d+)?(?P<science_key_word>(E-?\d+))?(?:，?)[百千]{,1})(?:[（\(]?(?P<filter_>[%])*\s*(单位[:：])?(?P<unit_key_word_behind>[万亿]?(?:[美日欧]元|元)?(?P<filter_unit1>[台只吨斤棵株页亩方条天]*))\s*[）\)]?))",
|
|
|
+ "front_m":"((?P<text_front_m>(?:[（\(]?\s*(?P<unit_front_m_before>[万亿]?(?:[美日欧]元|元))\s*[）\)])\s*[,，:：]*(\s*[^壹贰叁肆伍陆柒捌玖拾佰仟萬億分万元编号时间日期计采a-zA-Z]{,7}?))(?P<money_front_m>-*[0-9][\d,]*(?:\.\d+)?(?P<science_front_m>(E-?\d+))?(?:，?)[百千]*)())",
|
|
|
+ "behind_m":"(()()(?P<money_behind_m>-*[0-9][\d,]*(?:\.\d+)?(?P<science_behind_m>(E-?\d+))?(?:，?)[百千]*)(人民币)?[\(（]?(?P<unit_behind_m>[万亿]?(?:[美日欧]元|元)(?P<filter_unit3>[台个只吨斤棵株页亩方条米]*))[\)）]?)"}
|
|
|
+list_m_p = []
|
|
|
+for k,v in list_money_pattern.items():
|
|
|
+ list_m_p.append(v)
|
|
|
+
|
|
|
+money_pattern = re.compile("^(%s)$"%"|".join(list_m_p))
|
|
|
+money_pattern_cn = re.compile(list_money_pattern["cn"])
|
|
|
+number_pattern = re.compile("^[0-9]+(\.\d+)?$")
|
|
|
+eng_pattern = re.compile("[0-9a-zA-Z\-\(\)（）:/\.￥¥_\[\]【】@]{1,}")
|
|
|
+filename_pattern = "\.(pdf|doc|docx|xls|xlsx|zip|rar|swf|txt|html)$"
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+def extract_external_types(text):
|
|
|
+ list_types = []
|
|
|
+ #extract eng sentences
|
|
|
+ import re
|
|
|
+ for _match in re.finditer(eng_pattern,text):
|
|
|
+ match_text = text[_match.start():_match.end()]
|
|
|
+ if re.search(filename_pattern,match_text) is not None:
|
|
|
+ list_types.append((_match.start(),_match.end(),"##filename##",match_text))
|
|
|
+ elif re.search(time_pattern,match_text) is not None:
|
|
|
+ list_types.append((_match.start(),_match.end(),"##time##",match_text))
|
|
|
+ elif re.search(phone_pattern,match_text) is not None:
|
|
|
+ list_types.append((_match.start(),_match.end(),"##phone##",match_text))
|
|
|
+ elif re.search(money_pattern,match_text) is not None:
|
|
|
+ list_types.append((_match.start(),_match.end(),"##money##",match_text))
|
|
|
+ elif re.search(number_pattern,match_text) is not None:
|
|
|
+ list_types.append((_match.start(),_match.end(),"##number##",match_text))
|
|
|
+ else:
|
|
|
+ _len = len(match_text)
|
|
|
+ if _len<5:
|
|
|
+ list_types.append((_match.start(),_match.end(),"##engsentence_<5##",match_text))
|
|
|
+ elif _len>=5:
|
|
|
+ list_types.append((_match.start(),_match.end(),"##engsentence_>=5##",match_text))
|
|
|
+
|
|
|
+ _search = re.search(time_pattern_cn,text)
|
|
|
+ if _search is not None:
|
|
|
+ match_text = text[_search.start():_search.end()]
|
|
|
+ list_types.append((_search.start(),_search.end(),"##time##",match_text))
|
|
|
+
|
|
|
+ _search = re.search(money_pattern_cn,text)
|
|
|
+ if _search is not None:
|
|
|
+ match_text = text[_search.start():_search.end()]
|
|
|
+ list_types.append((_search.start(),_search.end(),"##money##",match_text))
|
|
|
+
|
|
|
+ set_begin_end = set()
|
|
|
+ final_types = []
|
|
|
+ list_types.sort(key=lambda x:len(x[3]),reverse=True)
|
|
|
+ for _t in list_types:
|
|
|
+ _begin = _t[0]
|
|
|
+ _end = _t[1]
|
|
|
+ _exists = False
|
|
|
+ for _b,_e in set_begin_end:
|
|
|
+ if _begin>=_b and _begin<_e:
|
|
|
+ _exists = True
|
|
|
+ break
|
|
|
+ if _end>_b and _end<=_e:
|
|
|
+ _exists = True
|
|
|
+ break
|
|
|
+ if not _exists:
|
|
|
+ set_begin_end.add((_begin,_end))
|
|
|
+ final_types.append(_t)
|
|
|
+
|
|
|
+ return final_types
|
|
|
+
|
|
|
+def extract_text_types(text,list_entitys):
|
|
|
+ set_types = set()
|
|
|
+ #extract eng sentences
|
|
|
+
|
|
|
+ list_types = extract_external_types(text)
|
|
|
+
|
|
|
+ for _e in list_types:
|
|
|
+ if isinstance(_e,tuple):
|
|
|
+ _type = "%s"%(_e[2])
|
|
|
+ _text = _e[3]
|
|
|
+ set_types.add(_type)
|
|
|
+ elif isinstance(_e,str):
|
|
|
+ set_types.add(_e)
|
|
|
+
|
|
|
+ for _e in list_entitys:
|
|
|
+ if isinstance(_e,tuple):
|
|
|
+ _type = "##%s##"%(_e[2])
|
|
|
+ _text = _e[3]
|
|
|
+ set_types.add(_type)
|
|
|
+ elif isinstance(_e,str):
|
|
|
+ set_types.add(_e)
|
|
|
+
|
|
|
+ return list(set_types)
|
|
|
+
|
|
|
+
|
|
|
+@annotate("string->string")
|
|
|
+class f_table_cell_process():
|
|
|
+ '''
|
|
|
+ 将表格单元格数据处理成字典，单元格去重，清洗，类型识别
|
|
|
+ '''
|
|
|
+
|
|
|
+ def __init__(self):
|
|
|
+ import logging
|
|
|
+ import json
|
|
|
+ import time,re
|
|
|
+
|
|
|
+ global json,logging,time,re
|
|
|
+ # sys.path.insert(0,"F:\Workspace2016\BiddingKG")
|
|
|
+ # from BiddingKG.dl.foolnltk.selffool.selffool_ner import SelfNer
|
|
|
+ # include_package_path("jieba0.42.zip")
|
|
|
+
|
|
|
+ self.time_pattern = "\d{4}\-\d{2}\-\d{2}.*"
|
|
|
+ logging.basicConfig(level = logging.INFO,format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
|
|
|
+ multiLoadEnv()
|
|
|
+ from BiddingKG.dl.foolnltk.selffool.selffool_ner import SelfNer
|
|
|
+ from BiddingKG.dl.table_head.predict import predict
|
|
|
+ from bs4 import BeautifulSoup
|
|
|
+ import jieba
|
|
|
+ global BeautifulSoup,SelfNer,jieba,predict
|
|
|
+ self.selfner = SelfNer()
|
|
|
+
|
|
|
+ def set_head_table(self,inner_table):
|
|
|
+ if len(inner_table)>0:
|
|
|
+ copy_inner_table = copy.deepcopy(inner_table)
|
|
|
+
|
|
|
+ for i in range(len(copy_inner_table)):
|
|
|
+ for j in range(len(copy_inner_table[i])):
|
|
|
+ # 删掉单格前后符号，以免影响表头预测
|
|
|
+ col = copy_inner_table[i][j]
|
|
|
+ col = re.sub("^[^\u4e00-\u9fa5a-zA-Z0-9]+", "", col)
|
|
|
+ col = re.sub("[^\u4e00-\u9fa5a-zA-Z0-9]+$", "", col)
|
|
|
+ copy_inner_table[i][j] = col
|
|
|
+
|
|
|
+ # 模型预测表头
|
|
|
+ predict_list = predict(copy_inner_table)
|
|
|
+
|
|
|
+ # 组合结果
|
|
|
+ for i in range(len(copy_inner_table)):
|
|
|
+ for j in range(len(copy_inner_table[i])):
|
|
|
+ copy_inner_table[i][j] = [inner_table[i][j], int(predict_list[i][j])]
|
|
|
+
|
|
|
+ # print("table_head before repair", inner_table)
|
|
|
+
|
|
|
+ return copy_inner_table
|
|
|
+
|
|
|
+ def evaluate(self, list_text_json):
|
|
|
+ if list_text_json is None or list_text_json=="":
|
|
|
+ return
|
|
|
+ list_text = json.loads(list_text_json)
|
|
|
+
|
|
|
+ list_table_cell = []
|
|
|
+ height = len(list_text)
|
|
|
+ if height>0:
|
|
|
+ width = len(list_text[0])
|
|
|
+ if width>50 or height>50:
|
|
|
+ return
|
|
|
+ inner_table = self.set_head_table(list_text)
|
|
|
+
|
|
|
+ for _h in range(height):
|
|
|
+ _line = []
|
|
|
+ for _w in range(width):
|
|
|
+ text = list_text[_h][_w]
|
|
|
+ list_words = list(jieba.cut(text))
|
|
|
+ #取20个词
|
|
|
+ top_20_words = get_top_n_words(list_words,20,True)
|
|
|
+
|
|
|
+ ner_text = "".join(top_20_words)
|
|
|
+
|
|
|
+ if len(ner_text)>0:
|
|
|
+ list_entity = self.selfner.ner([ner_text])[0]
|
|
|
+ else:
|
|
|
+ list_entity = []
|
|
|
+ list_types = extract_text_types(ner_text,list_entity)
|
|
|
+ _cell = {"top_n_words":top_20_words,
|
|
|
+ "list_types":list_types}
|
|
|
+ top_words_2gram = []
|
|
|
+ for _i in range(len(top_20_words)-1):
|
|
|
+ top_words_2gram.append("".join(top_20_words[_i:_i+2]))
|
|
|
+ _cell["top_words_2gram"] = top_words_2gram
|
|
|
+ _cell["is_head"] = inner_table[_h][_w][1]
|
|
|
+ _line.append(_cell)
|
|
|
+ list_table_cell.append(_line)
|
|
|
+ return json.dumps(list_table_cell,ensure_ascii=False)
|
|
|
+
|
|
|
+
|
|
|
+@annotate('string -> string,string,string,string')
|
|
|
+class f_words_contact(BaseUDTF):
|
|
|
+ '''
|
|
|
+ 生成关联的词组信息，以供后续计算
|
|
|
+ '''
|
|
|
+ def __init__(self):
|
|
|
+ import logging
|
|
|
+ import json
|
|
|
+ import time,re
|
|
|
+ global json,logging,time,re
|
|
|
+ self.time_pattern = "\d{4}\-\d{2}\-\d{2}.*"
|
|
|
+ logging.basicConfig(level = logging.INFO,format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
|
|
|
+
|
|
|
+ def process(self, table_cell_json):
|
|
|
+ if table_cell_json is not None:
|
|
|
+ list_cell = json.loads(table_cell_json)
|
|
|
+ height = len(list_cell)
|
|
|
+ list_a = []
|
|
|
+ if height>0:
|
|
|
+ width = len(list_cell[0])
|
|
|
+ for _h in range(height):
|
|
|
+ for _w in range(width):
|
|
|
+ _cell = list_cell[_h][_w]
|
|
|
+ top_words = _cell["top_n_words"]
|
|
|
+ list_types = _cell["list_types"]
|
|
|
+ top_words_2gram = _cell["top_words_2gram"]
|
|
|
+ is_head = _cell["is_head"]
|
|
|
+ list_w = []
|
|
|
+ list_w.extend(top_words)
|
|
|
+ list_w.extend(list_types)
|
|
|
+ list_w.extend(top_words_2gram)
|
|
|
+ whole_w1 = "".join(top_words)
|
|
|
+ # _type = "single"
|
|
|
+ # for _w1 in list_w:
|
|
|
+ # self.forward(_type,_w1,"")
|
|
|
+ #FIND THE LEFT SIDE
|
|
|
+ if is_head==1:
|
|
|
+ continue
|
|
|
+
|
|
|
+ _find = False
|
|
|
+ for _w1 in range(_w):
|
|
|
+ _cell1 = list_cell[_h][_w1]
|
|
|
+ top_words1 = _cell1["top_n_words"]
|
|
|
+ list_types1 = _cell1["list_types"]
|
|
|
+ top_words_2gram1 = _cell1["top_words_2gram"]
|
|
|
+ is_head1 = _cell1["is_head"]
|
|
|
+ if is_head1==0:
|
|
|
+ if _find:
|
|
|
+ break
|
|
|
+ else:
|
|
|
+ continue
|
|
|
+ else:
|
|
|
+ _find = True
|
|
|
+ list_w1 = []
|
|
|
+ list_w1.extend(top_words1)
|
|
|
+ list_w1.extend(list_types1)
|
|
|
+ list_w1.extend(top_words_2gram1)
|
|
|
+ whole_w2 = "".join(top_words1)
|
|
|
+ _type = "pair"
|
|
|
+ # for _w1 in list_w:
|
|
|
+ # # for _w2 in list_w1:
|
|
|
+ # self.forward(_type,_w1,_w2)
|
|
|
+ self.forward(",".join(list_types),",".join(top_words),whole_w1,whole_w2)
|
|
|
+
|
|
|
+ #FIND THE RIGHT SIDE
|
|
|
+ _find = False
|
|
|
+ for _h1 in range(_h):
|
|
|
+ _cell1 = list_cell[_h1][_w]
|
|
|
+ top_words1 = _cell1["top_n_words"]
|
|
|
+ list_types1 = _cell1["list_types"]
|
|
|
+ top_words_2gram1 = _cell1["top_words_2gram"]
|
|
|
+ list_w1 = []
|
|
|
+ list_w1.extend(top_words1)
|
|
|
+ list_w1.extend(list_types1)
|
|
|
+ list_w1.extend(top_words_2gram1)
|
|
|
+ is_head1 = _cell1["is_head"]
|
|
|
+ if is_head1==0:
|
|
|
+ continue
|
|
|
+ if _find:
|
|
|
+ break
|
|
|
+ else:
|
|
|
+ continue
|
|
|
+ else:
|
|
|
+ _find = True
|
|
|
+ whole_w2 = "".join(top_words1)
|
|
|
+ _type = "pair"
|
|
|
+ # for _w1 in list_w:
|
|
|
+ # # for _w2 in list_w1:
|
|
|
+ # # self.forward(_type,_w1,_w2)
|
|
|
+ # self.forward(_type,_w1,whole_w2)
|
|
|
+ self.forward(",".join(list_types),",".join(top_words),whole_w1,whole_w2)
|
|
|
+
|
|
|
+def regenerate_tokens_types(list_tokens,list_types):
|
|
|
+ set_begin_end = set()
|
|
|
+ set_types = set()
|
|
|
+ for _t in list_types:
|
|
|
+ _begin = _t[0]
|
|
|
+ _end = _t[1]
|
|
|
+ _type = _t[2]
|
|
|
+ set_begin_end.add((_begin,_end))
|
|
|
+ set_types.add(_type)
|
|
|
+
|
|
|
+ _begin = 0
|
|
|
+ list_result = []
|
|
|
+ for _token in list_tokens:
|
|
|
+ _exists = False
|
|
|
+ _end = _begin+len(_token)
|
|
|
+ for _b,_e in set_begin_end:
|
|
|
+ if _begin>=_b and _begin<_e:
|
|
|
+ _exists = True
|
|
|
+ break
|
|
|
+ if _end>_b and _end<=_e:
|
|
|
+ _exists = True
|
|
|
+ break
|
|
|
+ if not _exists:
|
|
|
+ list_result.append(_token)
|
|
|
+ _begin = _end
|
|
|
+ list_result.extend(list(set_types))
|
|
|
+ return list_result
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+@annotate('string,string,string,bigint -> string,string,double')
|
|
|
+class f_process_words_contact(BaseUDTF):
|
|
|
+ '''
|
|
|
+ 生成关联的词组信息，以供后续计算
|
|
|
+ '''
|
|
|
+ def __init__(self):
|
|
|
+ import logging
|
|
|
+ import json
|
|
|
+ import time,re
|
|
|
+ global json,logging,time,re
|
|
|
+ self.time_pattern = "\d{4}\-\d{2}\-\d{2}.*"
|
|
|
+ logging.basicConfig(level = logging.INFO,format = '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
|
|
|
+
|
|
|
+ def process(self, type_center,tokens_center,word_left_top,pair_counts):
|
|
|
+ #所有tokens和type共享counts
|
|
|
+ #修改token和type互斥
|
|
|
+ list_types = type_center.split(",")
|
|
|
+
|
|
|
+ set_types = set()
|
|
|
+ for _t in list_types:
|
|
|
+ if "engsentence" in _t or "money" in _t or "float" in _t or "number" in _t or "phone" in _t or "filename" in _t:
|
|
|
+ continue
|
|
|
+ set_types.add(_t)
|
|
|
+
|
|
|
+
|
|
|
+ list_tokens = tokens_center.split(",")
|
|
|
+ text = "".join(list_tokens)
|
|
|
+ list_types = extract_external_types(text)
|
|
|
+ print("list_tokens:",str(list_tokens))
|
|
|
+ print("list_types:",str(list_types))
|
|
|
+ list_result = regenerate_tokens_types(list_tokens,list_types)
|
|
|
+ print("list_result:",str(list_result))
|
|
|
+ _len = len(list_tokens)+len(set_types)
|
|
|
+ avg_len = round(pair_counts/_len,2)
|
|
|
+ for _t in list_result:
|
|
|
+ self.forward(word_left_top,_t,avg_len)
|
|
|
+ for _t in set_types:
|
|
|
+ self.forward(word_left_top,_t,avg_len)
|
|
|
+
|
|
|
+
|
|
|
+
|
|
|
+if __name__ == '__main__':
|
|
|
+ # table_preprocess = f_table_preprocess()
|
|
|
+ a = '''
|
|
|
+ <div>
|
|
|
+ <input type="hidden" name="projectCode" value="5002287530902902303030047">
|
|
|
+ <table width="100%">
|
|
|
+ <tbody>
|
|
|
+ <tr>
|
|
|
+ <td> </td>
|
|
|
+ <td> 选取时间 <br> 2023-03-08 09:00:00 </td>
|
|
|
+ <td></td>
|
|
|
+ <td> 已有1家中介机构报名参加 </td>
|
|
|
+ </tr>
|
|
|
+ </tbody>
|
|
|
+ </table>
|
|
|
+ <div>
|
|
|
+ 关于为【2022年度财务报表审计服务】 公开选取【会计师事务所服务】机构的公告
|
|
|
+ </div>
|
|
|
+ <p> 该项目为直接选取项目，由张力从报名的中介服务机构中直接选定一家中介服务机构进行项目服务。 </p>
|
|
|
+ <table>
|
|
|
+ <tbody>
|
|
|
+ <tr>
|
|
|
+ <td> 项目名称jofujieojifw-fewoife </td>
|
|
|
+ <td> 2022年度财务报表审计服务 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 采购人 </td>
|
|
|
+ <td>
|
|
|
+ <div>
|
|
|
+ <a target="_blank" class="markBlue" href="/bdqyhx/266418872542117888.html" style="color: #3083EB !important;text-decoration: underline;">重庆百里竹海旅游开发建设有限公司</a>
|
|
|
+ </div>
|
|
|
+ <div>
|
|
|
+ <span> （5.0） </span>
|
|
|
+ </div> </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 投资审批项目 </td>
|
|
|
+ <td> 否 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 项目规模 </td>
|
|
|
+ <td> </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 资金来源 </td>
|
|
|
+ <td> 国企资金 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 项目实施地行政区划 </td>
|
|
|
+ <td> 重庆市梁平区 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 是否破产业务服务项目采购 </td>
|
|
|
+ <td> 否 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 是否为行政管理中介服务事项采购 </td>
|
|
|
+ <td> 否 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 所需服务类型 </td>
|
|
|
+ <td> 会计师事务所服务 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 服务内容 </td>
|
|
|
+ <td> 审计2022年度会计报表并出具审计报告 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 中介机构要求 </td>
|
|
|
+ <td> 以采购公告为准 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 资质（资格）要求 </td>
|
|
|
+ <td> 需中介机构具备其中一项服务类型/资质子项 <a target="_blank" class="markBlue" href="https://zjcs.cqggzy.com/cq-zjcs-pub/purchaseNotice/qualityMultiView/919b647d-e66c-4bc8-a47c-67a3ab1f3e29" rel="noreferrer"> 点击查看资质专业要求 </a> </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 其他要求说明 </td>
|
|
|
+ <td> 无 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 服务时限及说明 </td>
|
|
|
+ <td> 广东签订合同之日起30日内出具财务会计年度审计报告 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 合同签订时限及说明 </td>
|
|
|
+ <td> 发布采购公告起7日内公布中选单位，并于5日内签订合同。 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 服务金额 </td>
|
|
|
+ <td> 张丽</td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 金额说明 </td>
|
|
|
+ <td> 按照渝价发（2011）257号文《重庆市会计师事务所服务收费管理办法》的收费标准控制在4.5折以内计算。 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 选取方式 </td>
|
|
|
+ <td> 直接选取 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 需规避机构 </td>
|
|
|
+ <td> </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 规避原因 </td>
|
|
|
+ <td> </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 选取时间 </td>
|
|
|
+ <td> 2023-03-08 09:00:00 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 资质备案要求 </td>
|
|
|
+ <td> </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 采购人业务咨询电话 </td>
|
|
|
+ <td> <a target="_blank" class="markBlue" href="/bdqyhx/266418872542117888.html" style="color: #3083EB !important;text-decoration: underline;">重庆百里竹海旅游开发建设有限公司</a>（19123659525） </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 监督举报电话 </td>
|
|
|
+ <td> 53888139 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 备注 </td>
|
|
|
+ <td> 无 </td>
|
|
|
+ </tr>
|
|
|
+ <tr>
|
|
|
+ <td> 采购需求书下载 </td>
|
|
|
+ <td> <a target="_blank" class="markBlue" rel="noreferrer"> 百里竹海.pdf </a> <br> </td>
|
|
|
+ </tr>
|
|
|
+ </tbody>
|
|
|
+ </table>
|
|
|
+ <p> <font color="red"> 特别提醒：请各中介机构报名前认真审核公司资质、资格是否符合采购公告相关要求，超越资质范围承揽业务，资质和资格条件或者能力不符合采购公告要求而响应采购公告进行报名可能被认定不良行为。 </font> <br> </p>
|
|
|
+ <p> <br> 2023-03-03 </p>
|
|
|
+ </div>
|
|
|
+ '''
|
|
|
+
|
|
|
+ # table_text_json = table_preprocess.process(a)
|
|
|
+ #
|
|
|
+ # cell_process = f_table_cell_process()
|
|
|
+ # table_cell_json = cell_process.evaluate(table_text_json)
|
|
|
+ # print(table_cell_json)
|
|
|
+ a = "12-23-23"
|
|
|
+ a = ['GGJY', '-', 'JZ', '-', '2014002']
|
|
|
+ t = "".join(a)
|
|
|
+ print(extract_external_types(t))
|
|
|
+ print(regenerate_tokens_types(a,extract_external_types(t)))
|
luojiehua