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hack.py
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hack.py
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import sys
import PIL.Image as image
import PIL.ImageChops as imagechops
import time,re,random
import io
import urllib.request
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
from getInfo import getInfo
from dbService import DBService
#获取浏览器驱动
def get_webdriver(name):
if name.lower() == "phantomjs":
dcap = dict(DesiredCapabilities.PHANTOMJS)
dcap["phantomjs.page.settings.userAgent"] = (
"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36")
return webdriver.PhantomJS(desired_capabilities=dcap)
elif name.lower() == "chrome":
return webdriver.Chrome(executable_path=r"C:/Program Files (x86)/Google/Chrome/Application/chromedriver.exe")
#输入查询词，点击按钮
def input_params(driver,name):
driver.get("http://www.gsxt.gov.cn/index")
element = WebDriverWait(driver,10).until(lambda the_driver:the_driver.find_element_by_id('keyword'))
element.send_keys(name)
time.sleep(0.5)
element = WebDriverWait(driver,10).until(lambda the_driver:the_driver.find_element_by_id('btn_query'))
element.click()
time.sleep(0.5)
def get_merge_image(filename,location_list):
im = image.open(filename)
new_im = image.new('RGB', (260,116))
im_list_upper=[]
im_list_down=[]
for location in location_list:
if location['y']==-58:
pass
im_list_upper.append(im.crop((abs(location['x']),58,abs(location['x'])+10,116)))
if location['y']==0:
pass
im_list_down.append(im.crop((abs(location['x']),0,abs(location['x'])+10,58)))
new_im = image.new('RGB', (260,116))
x_offset = 0
for im in im_list_upper:
new_im.paste(im, (x_offset,0))
x_offset += im.size[0]
x_offset = 0
for im in im_list_down:
new_im.paste(im, (x_offset,58))
x_offset += im.size[0]
return new_im
def get_image(driver,div):
#找到图片所在的div
background_images=driver.find_elements_by_xpath(div)
location_list=[]
imageurl=''
for background_image in background_images:
# print(re.findall('background-position: (.*)px (.*)px;',background_image.get_attribute('style')))
location={}
# 在html里面解析出小图片的url地址，还有长高的数值
location['x']=int(re.findall('background-position: (.*)px (.*)px;',background_image.get_attribute('style'))[0][0])
location['y']=int(re.findall('background-position: (.*)px (.*)px;',background_image.get_attribute('style'))[0][1])
location_list.append(location)
try:
imageurl=re.findall('url\(\"(.*)\"\)', background_image.get_attribute('style'))[0]
except:
imageurl=re.findall('url\((.*)\)', background_image.get_attribute('style'))[0]
# print(imageurl)
imageurl=imageurl.replace("webp","jpg")
# print(imageurl)
jpgfile=io.BytesIO(urllib.request.urlopen(imageurl).read())
#重新合并图片
image=get_merge_image(jpgfile,location_list )
return image
##比较两张图片的像素点RGB值，相差超过50，即认为是缺口位置
def is_similar(image1,image2,x,y):
pass
pixel1=image1.getpixel((x,y))
pixel2=image2.getpixel((x,y))
for i in range(0,3):
if abs(pixel1[i]-pixel2[i])>=50:
return False
return True
def get_diff_location(image1,image2):
i=0
for i in range(0,260):
for j in range(0,116):
if is_similar(image1,image2,i,j)==False:
return i
##生成鼠标轨迹，待优化
def get_track(length):
//the important alorithmn
def hackgeetest(driver):
#等待图片元素加载出来
WebDriverWait(driver, 10).until(lambda the_driver: the_driver.find_element_by_xpath("//div[@class='gt_slider_knob gt_show']").is_displayed())
WebDriverWait(driver, 10).until(lambda the_driver: the_driver.find_element_by_xpath("//div[@class='gt_cut_bg gt_show']").is_displayed())
WebDriverWait(driver, 10).until(lambda the_driver: the_driver.find_element_by_xpath("//div[@class='gt_cut_fullbg gt_show']").is_displayed())
#下载图片，并重新拼接
image1=get_image(driver,"//div[@class='gt_cut_fullbg_slice']")
# image1.show()
image2=get_image(driver,"//div[@class='gt_cut_bg_slice']")
# image2.show()
#计算缺口位置
loc=get_diff_location(image1,image2)
track_list=get_track(loc)
#找到滑动的圆球
element=driver.find_element_by_xpath("//div[@class='gt_slider_knob gt_show']")
location=element.location
y=location['y']
#鼠标点击元素并按住不放
print ("第一步,点击元素" )
ActionChains(driver).click_and_hold(on_element=element).perform()
time.sleep(0.15)
print("第二步,拖动元素")
for track in track_list:
y=y+random.randint(0,1)
ActionChains(driver).move_to_element_with_offset(to_element=element,xoffset=track[0]+22,yoffset=y).perform()
ActionChains(driver).click_and_hold().perform()
time.sleep(track[1])
print('第三步,释放鼠标')
ActionChains(driver).release(on_element=element).perform()
time.sleep(0.8)
element=WebDriverWait(driver,30).until(lambda the_driver:the_driver.find_element_by_class_name('gt_info_text'))
result = element.text
print(result)
return result
def get_search_list(driver):
#提取条目url,爬取工商信息
#等待搜索结果加载
WebDriverWait(driver, 10).until(lambda the_driver: the_driver.find_element_by_xpath("//div[@class='pagination']"))
# print(driver.page_source)
soup = BeautifulSoup(driver.page_source,'html.parser')
tag=soup.find('div',class_='pagination')
atag=tag.find_all('a')
# pages=int(re.findall('javascript:turnOverPage\((.*)\)',atag[-1].attrs['href'])[0])
# print(pages)
# 打印第一页
print('get_search_item....')
search_list=[]
for sp in soup.find_all('a',attrs={'class':'search_list_item'}):
# print(re.sub('\s+','\n',sp.get_text()))
search_item={}
domain='http://www.gsxt.gov.cn'
search_item['name']=sp.h1.get_text().strip()
li=sp.find_all('span',attrs={'class':'g3'})
search_item['regNo']=li[0].get_text().strip();
search_item['holder']=li[1].get_text().strip();
search_item['foundingTime']=li[2].get_text().strip();
search_item['url']=domain+sp.attrs['href']
search_list.append(search_item)
#访问并打印剩余的页面
# for page in range(pages-1):
# element=WebDriverWait(driver, 30).until(lambda the_driver: the_driver.find_element_by_xpath("//div[@class='pagination']/form/a[last()-1]"))
# element.click()
# soup = BeautifulSoup(driver.page_source,'html.parser')
# for sp in soup.find_all('a',attrs={'class':'search_list_item'}):
# # print(re.sub('\s+','\n',sp.get_text()))
# search_item={}
# search_item['name']=sp.h1.get_text().strip()
# li=sp.find_all('span',attrs={'class':'g3'})
# search_item['regNo']=li[0].get_text().strip();
# search_item['holder']=li[1].get_text().strip();
# search_item['foundingTime']=li[2].get_text().strip();
# search_item['url']=domain+sp.attrs['href']
# search_list.append(search_item)
return search_list
def spiderinfo(searchword,webdriver=1):
#这里的文件路径是webdriver的文件路径
if webdriver==1:
driver = get_webdriver("chrome")
else:
driver = get_webdriver("phantomjs")
input_params(driver,searchword)
#driver.get("localhost:8000/")
flag=True
while flag:
result=hackgeetest(driver)
if '通过' in result:
time.sleep(1)
print('success')
#获取工商企业数据，仅获取第一家
search_list=get_search_list(driver)
# g=getInfo(search_list[0]['url'])
# g.run()
db=DBService()
for item in search_list:
db.insert(1,(item['name'],item['regNo'],item['url'],int(time.time())))
driver.quit()
return search_list
elif '吃' in result:
print('fail')
time.sleep(3)
else:
print("reload")
input_params(driver,searchword)
if __name__=="__main__":
spiderinfo("阿里巴巴")