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jd_slider.py
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jd_slider.py
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# coding = utf-8
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions
import ddddocr
from icecream import ic
import base64
from PIL import Image
from io import BytesIO
import time
import pyautogui
def get_slide_path(bg, slide):
det = ddddocr.DdddOcr(ocr=False, det=False)
# 转换成 Iamge
background_img = Image.open(BytesIO(base64.b64decode(bg.split(';base64,')[1])))
target_img = Image.open(BytesIO(base64.b64decode(slide.split(';base64,')[1])))
# 重新设定宽高
background_img_resize = background_img.resize((290, 179))
target_img_resize = target_img.resize((59, 179))
# 转换成 byte
bg_byte = BytesIO()
tg_byte = BytesIO()
background_img_resize.save(bg_byte, format='JPEG')
target_img_resize.save(tg_byte, format='PNG')
res = det.slide_match(tg_byte.getvalue(), bg_byte.getvalue())
ic(res)
x = res['target'][0]
ic(x)
return(x)
def get_track(distance):
'''
根据偏移量获取移动轨迹
:param distance: 偏移量
:return: 移动轨迹
'''
# 移动轨迹
track = []
# 当前位移
current = 0
# 减速阈值
mid = distance * 4 / 5
# 计算间隔
t = 0.5
# 初速度
v = 10
while current < distance:
if current < mid:
# 加速度为正2
a = 10
else:
# 加速度为负3
a = -3
# 初速度v0
v0 = v
# 当前速度v = v0 + at
v = v0 + a * t
# 移动距离x = v0t + 1/2 * a * t^2
move = v0 * t + 1 / 2 * a * t * t
# 当前位移
current += move
# 加入轨迹
track.append(round(move))
return track
def auto_slide(browser):
if browser.find_element(By.CLASS_NAME, 'verifyBtn'):
browser.find_element(By.CLASS_NAME, 'verifyBtn').click()
WebDriverWait(browser,4).until(expected_conditions.visibility_of_element_located((By.ID, 'cpc_img')))
slider_bg = browser.find_element(By.ID, 'cpc_img').get_attribute('src')
slider_tar = browser.find_element(By.ID, 'small_img').get_attribute('src')
slider_path = get_slide_path(slider_bg, slider_tar)
slider_but = browser.find_element(By.CSS_SELECTOR, '#captcha_modal > div > div.captcha_footer > div > img')
# 点中滑块按钮
ActionChains(browser).click_and_hold(slider_but).perform()
# 引入轨迹算法
track_list = get_track(slider_path)
ic(track_list)
track_path = 0
for i in track_list:
ActionChains(browser).move_by_offset(xoffset=i, yoffset=0).perform()
track_path += i
time.sleep(1)
ActionChains(browser,duration=100).move_by_offset(xoffset=(slider_path - track_path), yoffset=2.7).perform()
time.sleep(0.5)
# 释放
ActionChains(browser, duration=500).release().perform()
ic(browser.find_element(By.CLASS_NAME, 'img_tips_wraper').text)
# ic(WebDriverWait(browser, 3).until(expected_conditions.text_to_be_present_in_element((By.CLASS_NAME, 'img_tips_wraper'), '验证成功')))
if WebDriverWait(browser, 3).until(expected_conditions.text_to_be_present_in_element((By.CLASS_NAME, 'img_tips_wraper'), '验证成功')):
print('验证成功')
# ic(browser.find_element(By.CLASS_NAME, 'img_tips_wraper').text)
time.sleep(5)
# cfe.m.jd.com 如果提示 安全验证 点击安全验证按钮清求滑块，如果提示 前往登录 则跳过
if 'h5.m.jd.com' in browser.current_url:
WebDriverWait(browser,4).until(expected_conditions.visibility_of_element_located((By.ID, 'cpc_img')))
slider_bg = browser.find_element(By.ID, 'cpc_img').get_attribute('src')
slider_tar = browser.find_element(By.ID, 'small_img').get_attribute('src')
slider_path = get_slide_path(slider_bg, slider_tar)
slider_but = browser.find_element(By.CSS_SELECTOR, '#captcha_modal > div > div.captcha_footer > div > img')
# 点中滑块按钮
ActionChains(browser).click_and_hold(slider_but).perform()
# 引入轨迹算法
track_list = get_track(slider_path)
ic(track_list)
track_path = 0
for i in track_list:
ActionChains(browser).move_by_offset(xoffset=i, yoffset=0).perform()
track_path += i
time.sleep(1)
ActionChains(browser,duration=100).move_by_offset(xoffset=(slider_path - track_path), yoffset=2.7).perform()
time.sleep(0.5)
# 释放
ActionChains(browser, duration=500).release().perform()
ic(browser.find_element(By.CLASS_NAME, 'img_tips_wraper').text)
# WebDriverWait(browser,4).until()
ic(browser.find_element(By.CLASS_NAME, 'img_tips_wraper').text)
try:
cpc_ele = browser.find_element(By.ID, 'cpc_img')
ic(cpc_ele.get_attribute('src'))
ic(cpc_ele.text)
except:
pass
if 'cfe.m.jd.com' in browser.current_url:
# browser.find_element(By.CLASS_NAME, 'verifyBtn').click()
WebDriverWait(browser,4).until(expected_conditions.visibility_of_element_located((By.ID, 'cpc_img')))
slider_bg = browser.find_element(By.ID, 'cpc_img').get_attribute('src')
slider_tar = browser.find_element(By.ID, 'small_img').get_attribute('src')
slider_path = get_slide_path(slider_bg, slider_tar)
slider_but = browser.find_element(By.CSS_SELECTOR, '#captcha_modal > div > div.captcha_footer > div > img')
# 点中滑块按钮
ActionChains(browser).click_and_hold(slider_but).perform()
# 引入轨迹算法
track_list = get_track(slider_path)
ic(track_list)
track_path = 0
for i in track_list:
ActionChains(browser).move_by_offset(xoffset=i, yoffset=0).perform()
track_path += i
time.sleep(1)
ActionChains(browser,duration=100).move_by_offset(xoffset=(slider_path - track_path), yoffset=2.7).perform()
time.sleep(0.5)
# 释放
ActionChains(browser, duration=500).release().perform()
ic(browser.find_element(By.CLASS_NAME, 'img_tips_wraper').text)
# WebDriverWait(browser,4).until()
ic(browser.find_element(By.CLASS_NAME, 'img_tips_wraper').text)
try:
cpc_ele = browser.find_element(By.ID, 'cpc_img')
ic(cpc_ele.get_attribute('src'))
ic(cpc_ele.text)
except:
pass
if __name__ == '__main__':
browser = webdriver.Chrome(executable_path="C:\\Users\\ningm\\Documents\python\\browser-drivers\\chromedriver-win-112.exe")
# browser.get('https://h5.m.jd.com/pb/014137480/2hxUVs4cC2oSZQrFqD1PHxzE7Yee/index.html?scval=pc_detail&ReturnUrl=http%3A%2F%2Fitem.jd.com%2F100027728882.html')
browser.get('https://cfe.m.jd.com/privatedomain/risk_handler/03101900/?returnurl=https%3A%2F%2Fitem.jd.com%2F10060881246372.html&evtype=2&rpid=rp-186856865-10054-1682573319064')
browser.maximize_window()
# time.sleep(5)
# time.sleep(10)
do_slide = True
while True:
auto_slide(browser)
if WebDriverWait(browser, 3).until(expected_conditions.text_to_be_present_in_element((By.CLASS_NAME, 'img_tips_wraper'), '验证成功')):
# do_slide = False
break
# ic(do_slide)
# do_slide = True