Article Outline
Python pil example 'auto recommend jieba helper'
Functions in program:
def jieba_parse(question,md=config.jieba_md):
Modules used in program:
import sys
import thread
import requests
import random
import jieba.analyse
import jieba
import operator
import win32gui, win32ui, win32con
import threading
import config
import url_helper
import selenium_helper
import screen_shot_helper
import recommend_helper
import question_helper
import ocr_helper
import jieba_helper
import urllib,urllib2
import re
import time
import pytesseract
import os,base64,json
import colorsys
python auto recommend jieba helper
Python pil example: auto recommend jieba helper
#encoding=utf-8
from PIL import Image
import colorsys
import os,base64,json
import pytesseract
import time
import re
import urllib,urllib2
import jieba_helper
import ocr_helper
import question_helper
import recommend_helper
import screen_shot_helper
import selenium_helper
import url_helper
import config
import threading
import win32gui, win32ui, win32con
# import win32api
from selenium import webdriver
# import traceback
from selenium.webdriver.support.wait import WebDriverWait
# import urllib, urllib2
# import StringIO
from aip import AipOcr
import operator
import jieba
import jieba.analyse
import random
import requests
import thread
from lxml import html
import sys
reload(sys)
sys.setdefaultencoding('utf8')
def jieba_parse(question,md=config.jieba_md):
result = ''
pattern1 = re.compile(r'(《[\w\W]*》)')
fixed_word_ls = re.findall(pattern1, question)
if len(fixed_word_ls)>0:
for i in fixed_word_ls:
question = " ".join(question.split(i))
result = result+i+" "
if md == 0:
seg_list = jieba.cut_for_search(question) # 搜索引擎模式
if md == 1:
seg_list = jieba.cut(question, cut_all=True)
if md == 2:
seg_list = jieba.cut(question, cut_all=False)
if md == 3:
seg_list = jieba.analyse.extract_tags(question, topK=config.search_keyword_num)
for i in seg_list:
if i in config.jieba_filter_ls:
continue
result = result + i +' '
return result
Python links
- Learn Python: https://pythonbasics.org/
- Python Tutorial: https://pythonprogramminglanguage.com