BIDI_ML_INFO_EXTRACTION/BiddingKG/dl/money/fix.py

'''
Created on 2019年10月12日

@author: User
'''

import glob
from bs4 import BeautifulSoup
import re
import shutil
import codecs
from BiddingKG.dl.test.test4 import predict
from BiddingKG.dl.common.Utils import save, load

def tofix():
    '''
    @summary: 获取需要fix的数据
    '''
    #paths = ["C:\\Users\\User\\Desktop\\数据20191011\\*.html","C:\\Users\\User\\Desktop\\数据20191011_multi\\*.html"]
    paths = ["C:\\Users\\User\\Desktop\\数据20191014\\*.html"]
    number_pattern = re.compile("[0-9A-Za-z一二三四五六七八九十]{1,4}")
    target_dir = "C:\\Users\\User\\Desktop\\tofix1"
    list_articles = []
    _count1 = 0
    _count2 = 0
    MAX_COUNT = 500
    with codecs.open(target_dir+".txt","w",encoding="utf8") as f:
        for path in paths:
            files = glob.glob(path)
            for file in files:
                filename = file.split("/")[-1]
                _content = open(file,"r",encoding="utf8").read()
                _soup = BeautifulSoup(_content,"lxml")
                _text = _soup.get_text()
                _find = ""
                _set_pack = set()
                if _count1>=MAX_COUNT and _count2>=MAX_COUNT:
                    break
                for _iter in re.finditer("(([^承](包|标[段号的包]|分?包|包组)编?号?|项目)[:：]?[\(（]?[0-9A-Za-z一二三四五六七八九十]{1,4})[^至]|(第?[0-9A-Za-z一二三四五六七八九十]{1,4}(包号|标[段号的包]|分?包))",_text):
                    _find += "/"+_text[_iter.span()[0]-3:_iter.span()[1]+3]
                    temp_package_number = re.findall(number_pattern,_text[_iter.span()[0]:_iter.span()[1]])[0]
                    if temp_package_number!="":
                        _set_pack.add(temp_package_number)
                if len(_set_pack)>1:
                    print(file.split("\\")[-1],_find.replace("\n",""))
                    f.write(file.split("\\")[-1]+" "+_find.replace("\n","")+"\n")
                    shutil.copy(file,target_dir)
                    if re.search("_52_",file) is not None:
                        if _count1<MAX_COUNT:
                            _count1 += 1
                            _label = predict("12",_content)
                            list_articles.append({"content":_content,"label":_label,"predict":_label,"filename":filename})
                    if re.search("_101_",file) is not None:
                        if _count2<MAX_COUNT:
                            _count2 += 1
                            _label = predict("12",_content)
                            list_articles.append({"content":_content,"label":_label,"predict":_label,"filename":filename})
    save(list_articles, "traindata/article_label_1000_muti.pk")
                    
def getFile(filename):
    path = "C:\\Users\\User\\Desktop\\数据20191014\\"
    file = path+filename
    dest_dir = "C:\\Users\\User\\Desktop\\getfile"
    shutil.copy(file,dest_dir)
                
if __name__=="__main__":
    #tofix()
    #getFile("比地_101_79888947.html")
    data = load("traindata/article_label_1000_muti.pk")
    data1 = load("label_0_1000.pk")
    for i in range(84):
        print(data[i]["filename"])
        print(data[i]["content"][:10])
        print(data1[i]["content"][:10])
        data[i]["label"] = data1[i]["label"]
    save(data, "traindata/article_label_1000_muti.pk")