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main.py
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import time
import os
import random
from selenium import webdriver
from urllib.request import urlretrieve
from PIL import Image
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.chrome.options import Options
class Ffxivclass():
def __init__(self):
chrome_options = Options()
chrome_options.add_argument("--headless")
chrome_options.add_argument('--no-sandbox') #windows可以去掉
chrome_options.add_argument('--disable-gpu') #windows可以去掉
chrome_options.add_argument('window-size=1920x3000') #windows可以去掉
chrome_options.add_argument('--disable-dev-shm-usage') #windows可以去掉
chrome_options.add_argument(
'user-agent=Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36')
#self.driver = webdriver.Chrome(options=chrome_options)#指定驱动目录
#self.driver = webdriver.Chrome(executable_path='/files/python_code/ffxiv_sign/chromedriver',options=chrome_options)
self.driver = webdriver.Chrome(executable_path='/snap/bin/chromium.chromedriver',options=chrome_options)
def get_img(self,src):
src_bg = src.replace('index=1', 'index=0')
src_bg = src_bg.replace('img_index=1', 'img_index=0')
# print(src_bg)
# 将图片下载到本地
urlretrieve(src, 'img1.png')
urlretrieve(src_bg, 'img2.png')
# 读取本地图片
captcha1 = Image.open('img1.png')
captcha2 = Image.open('img2.png')
return captcha1, captcha2
def resize_img(self,img):
"""
下载的图片把网页中的图片进行了放大，所以将图片还原成原尺寸
:param img: 图片
:return: 返回还原后的图片
"""
# 通过本地图片与原网页图片的比较，计算出的缩放比例 原图（680x390）缩小图（280x161）
a = 2.428
(x, y) = img.size
x_resize = int(x // a)
y_resize = int(y // a)
"""
Image.NEAREST ：低质量
Image.BILINEAR：双线性
Image.BICUBIC ：三次样条插值
Image.ANTIALIAS：高质量
"""
img = img.resize((x_resize, y_resize), Image.ANTIALIAS)
return img
def is_pixel_equal(self,img1, img2, x, y):
"""
比较两张图片同一点上的像数值，差距大于设置标准返回False
:param img1: 阴影图
:param img2: 原图
:param x: 横坐标
:param y: 纵坐标
:return: 是否相等
"""
pixel1, pixel2 = img1.load()[x, y], img2.load()[x, y]
sub_index = 100
# 比较RGB各分量的值
if abs(pixel1[0] - pixel2[0]) < sub_index and abs(pixel1[1] - pixel2[1]) < sub_index and abs(
pixel1[2] - pixel2[2]) < sub_index:
return True
else:
return False
def get_gap_offset(self,img1, img2):
"""
获取缺口的偏移量
"""
distance = 70
for i in range(distance, img1.size[0]):
for j in range(img1.size[1]):
# 两张图片对比,(i,j)像素点的RGB差距，过大则该x为偏移值
if not self.is_pixel_equal(img1, img2, i, j):
distance = i
return distance
return distance
def get_track(self,distance):
"""
计算滑块的移动轨迹
"""
# 通过观察发现滑块并不是从0开始移动，有一个初始值
distance -= 30
a = distance / 4
track = [a, a, a, a]
return track
def shake_mouse(self):
"""
模拟人手释放鼠标抖动
"""
ActionChains(self.driver).move_by_offset(xoffset=-2, yoffset=0).perform()
ActionChains(self.driver).move_by_offset(xoffset=2, yoffset=0).perform()
def operate_slider(self,track):
"""
拖动滑块
当你调用ActionChains的方法时，不会立即执行，而是会将所有的操作按顺序存放在一个队列里，当你调用perform()方法时，队列中的时间会依次执行。
:param track: 运动轨迹
:return:
"""
# 定位到拖动按钮
slider_bt = self.driver.find_element_by_xpath('//div[@class="tc-drag-thumb"]')
# 点击拖动按钮不放
ActionChains(self.driver).click_and_hold(slider_bt).perform()
# 按正向轨迹移动
# move_by_offset函数是会延续上一步的结束的地方开始移动
for i in track:
ActionChains(self.driver).move_by_offset(xoffset=i, yoffset=0).perform()
print(i)
time.sleep(random.random() / 100) # 每移动一次随机停顿0-1/100秒之间骗过了极验，通过率很高
time.sleep(random.random())
# 按逆向轨迹移动
back_tracks = [-1, -0.5, -1]
for i in back_tracks:
time.sleep(random.random() / 100)
ActionChains(self.driver).move_by_offset(xoffset=i, yoffset=0).perform()
# 模拟人手抖动
self.shake_mouse()
time.sleep(random.random())
# 松开滑块按钮
ActionChains(self.driver).release().perform()
def ffxivsign(self,user,password,area):
self.driver.get("https://actff1.web.sdo.com/20180707jifen/#/home")
time.sleep(1)
self.driver.find_element_by_class_name("signBtn").click()
time.sleep(1)
self.driver.find_element_by_class_name("wegame_login_area").click()
time.sleep(1)
self.driver.switch_to.frame(0)
time.sleep(1)
self.driver.find_element_by_id("switcher_plogin").click()
time.sleep(1)
self.driver.find_element_by_id("u").send_keys(user)
time.sleep(1)
self.driver.find_element_by_id("p").send_keys(password)
time.sleep(1)
self.driver.find_element_by_id("login_button").click()
time.sleep(5)
self.driver.switch_to.default_content()
time.sleep(1)
select_type = self.driver.find_elements_by_class_name("el-input--suffix")
time.sleep(1)
print(len(select_type))
if len(select_type) == 0:
self.driver.switch_to.frame("ptlogin_iframe")
self.driver.switch_to.frame("tcaptcha_iframe")
time.sleep(3)
src = self.driver.find_element_by_id("slideBg").get_attribute("src")
img1, img2 = self.get_img(src)
a = self.resize_img(img1)
b = self.resize_img(img2)
distance = self.get_gap_offset(a, b)
track = self.get_track(distance)
self.operate_slider(track)
time.sleep(3)
self.driver.switch_to.default_content()
time.sleep(1)
select_type = self.driver.find_elements_by_class_name("el-input--suffix")
area_type = self.driver.find_elements_by_class_name("el-select-dropdown__item")
time.sleep(1)
select_type[0].click()
time.sleep(1)
area_type[area].click()
time.sleep(3)
select_type[1].click()
time.sleep(2)
area_type = self.driver.find_elements_by_class_name("el-select-dropdown__item")
time.sleep(1)
area_type[4].click() #4-第一个角色
time.sleep(1)
self.driver.find_element_by_class_name("el-button--primary").click()
time.sleep(1)
self.driver.find_element_by_class_name("eveBtn").click()
time.sleep(1)
print("签到成功")
self.driver.close()
if __name__ == '__main__':
user = "***" #账号
password = "***" #密码
area = 1 #0-陆行鸟 1-莫古力 2-猫小胖 3-豆豆柴
ffxiv = Ffxivclass()
ffxiv.ffxivsign(user,password,area)