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| import re
import time
import random
import requests
from PIL import Image
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from io import BytesIO
from selenium.webdriver.common.action_chains import ActionChains
def get_merge_img(img_content,location_list,num):
'''
拼接图片
:param img_content:
:param location_list:
:param num:
:return:
'''
im = Image.open(img_content)
im_list_upper = []
im_list_done = []
for location in location_list:
if int(location['y']) == -58:
im_list_upper.append(im.crop((abs(int(location['x'])),58,abs(int(location['x']))+10,116)))
if int(location['y']) == 0:
im_list_done.append(im.crop((abs(int(location['x'])),0,abs(int(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 +=10
x_offset = 0
for im in im_list_done:
new_im.paste(im, (x_offset, 58))
x_offset += 10
return new_im
def get_img(driver,div_class,num):
'''
获取图片
:param driver:
:param div_class:
:param num:
:return:
'''
background_imgs = driver.find_elements_by_class_name(div_class)
location_list = []
imge_url = ''
for img in background_imgs:
location = {}
imge_url = re.findall(r'background-image: url\(\"(.*?)\"\); background-position: (.*?)px (.*?)px;',img.get_attribute('style'))[0][0]
location['x'] = re.findall(r'background-image: url\(\"(.*?)\"\); background-position: (.*?)px (.*?)px;',img.get_attribute('style'))[0][1]
location['y'] = re.findall(r'background-image: url\(\"(.*?)\"\); background-position: (.*?)px (.*?)px;',img.get_attribute('style'))[0][2]
location_list.append(location)
response = requests.get(imge_url).content
img_content = BytesIO(response)
image = get_merge_img(img_content,location_list,num)
image.save('{}.jpg'.format(num))
return image
def get_diff_location(image1,image2):
'''
通过像素对比 找到缺口位置
:param image1:
:param image2:
:return:
'''
for x in range(1,259):
for y in range(1, 115):
if is_similar(image1,image2,x,y) == False:
return x
def is_similar(image1,image2,x,y):
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_track(x):
'''
滑块移动轨迹
初速度 v =0
单位时间 t = 0.2
位移轨迹 tracks = []
当前位移 ccurrent = 0
:param x:
:return:
'''
v = 0
t = 0.2
tracks = []
current = 0
while current < x:
a = 2
v0 = v
s =v0*t+0.5*a*(t**2)
current = current+s
tracks.append(round(s))
v = v0+a*t
for i in range(3):
tracks.append(-1)
for i in range(3):
tracks.append(-2)
return tracks
def main(driver,element):
image1 = get_img(driver,'gt_cut_fullbg_slice',1)
image2 = get_img(driver,'gt_cut_bg_slice',2)
x = get_diff_location(image1,image2)
tracks = get_track(x)
ActionChains(driver).click_and_hold(element).perform()
for x in tracks:
ActionChains(driver).move_by_offset(xoffset=x,yoffset=0).perform()
ActionChains(driver).release(element).perform()
time.sleep(3)
if __name__ == '__main__':
driver = webdriver.Firefox()
driver.maximize_window()
driver.get('http://www.cnbaowen.net/api/geetest/')
try:
count = 5
wait = WebDriverWait(driver, 10)
element = wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'gt_slider_knob')))
while count >0:
main(driver,element)
try:
succes = wait.until(EC.presence_of_all_elements_located((By.XPATH,'//div[@class="gt_ajax_tip gt_success"]')))
if succes:
print('恭喜你！识别成功...')
break
except Exception as e:
print('识别错误，继续')
count -=1
finally:
driver.quit()
|