1概念：
a层级
1 1
1 1 1
1 1
1 1
b深度和广度层级
11111111111 先处理第一层然后在爬下一层的就是广度优先，从第一排第一个到m这样就是深度优先
11111111111
m111111111
实现的方法：
队列：入 [1,2,3,4,5,6]出 1 会先出 广度优先
栈： 入、出[10,9,8,7,6,5,4,3,2,1]10会先出 深度优先
selenium模块：
控制浏览器进行点点点的模块
示例代码：
from selenium import webdriver from selenium.webdriver import ActionChains from selenium.webdriver.common.by import By from selenium.webdriver.common.keys import Keys from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.support.wait import WebDriverWait import os import shutil from PIL import Image import time def get_snap(driver): driver.save_screenshot('full_snap.png') page_snap_obj = Image.open('full_snap.png') return page_snap_obj def get_image(driver): img = driver.find_element_by_class_name('geetest_canvas_img') time.sleep(2) location = img.location size = img.size left = location['x'] top = location['y'] right = left + size['width'] bottom = top + size['height'] page_snap_obj = get_snap(driver) image_obj = page_snap_obj.crop((left * 2, top * 2, right * 2, bottom * 2)) # image_obj.show() with open('code.png', 'wb') as f: image_obj.save(f, format='png') return image_obj def get_distance(image1, image2): # start = 0 # threhold = 70 # for i in range(start, image1.size[0]): # for j in range(0, image1.size[1]): # rgb1 = image1.load()[i, j] # rgb2 = image2.load()[i, j] # res1 = abs(rgb1[0] - rgb2[0]) # res2 = abs(rgb1[1] - rgb2[1]) # res3 = abs(rgb1[2] - rgb2[2]) # # print(res1,res2,res3) # if not (res1 < threhold and res2 < threhold and res3 < threhold): # print(111111, i, j) # return i - 13 # print(2222, i, j) # return i - 13 start = 0 threhold = 70 v = [] for i in range(start, image1.size[0]): for j in range(0, image1.size[1]): rgb1 = image1.load()[i, j] rgb2 = image2.load()[i, j] res1 = abs(rgb1[0] - rgb2[0]) res2 = abs(rgb1[1] - rgb2[1]) res3 = abs(rgb1[2] - rgb2[2]) if not (res1 < threhold and res2 < threhold and res3 < threhold): print(i) if i not in v: v.append(i) stop = 0 for i in range(0, len(v)): val = i + v[0] if v[i] != val: stop = v[i] break width = stop - v[0] print(stop, v[0], width) return width def get_tracks(distance): import random exceed_distance = random.randint(0, 5) distance += exceed_distance # 先滑过一点，最后再反着滑动回来 v = 0 t = 0.2 forward_tracks = [] current = 0 mid = distance * 3 / 5 while current < distance: if current < mid: a = random.randint(1, 3) else: a = random.randint(1, 3) a = -a s = v * t + 0.5 * a * (t ** 2) v = v + a * t current += s forward_tracks.append(round(s)) # 反着滑动到准确位置 v = 0 t = 0.2 back_tracks = [] current = 0 mid = distance * 4 / 5 while abs(current) < exceed_distance: if current < mid: a = random.randint(1, 3) else: a = random.randint(-3, -5) a = -a s = -v * t - 0.5 * a * (t ** 2) v = v + a * t current += s back_tracks.append(round(s)) return {'forward_tracks': forward_tracks, 'back_tracks': list(reversed(back_tracks))} def crack(driver): # 破解滑动认证 # 1、点击按钮，得到没有缺口的图片 button = driver.find_element_by_xpath('//*[@id="embed-captcha"]/div/div[2]/div[1]/div[3]') button.click() # 2、获取没有缺口的图片 image1 = get_image(driver) # 3、点击滑动按钮，得到有缺口的图片 button = driver.find_element_by_class_name('geetest_slider_button') button.click() # 4、获取有缺口的图片 image2 = get_image(driver) # 5、对比两种图片的像素点，找出位移 distance = get_distance(image1, image2) print(distance) # # 6、模拟人的行为习惯，根据总位移得到行为轨迹 tracks = get_tracks(int(distance / 2)) # 7、按照行动轨迹先正向滑动，后反滑动 button = driver.find_element_by_class_name('geetest_slider_button') ActionChains(driver).click_and_hold(button).perform() # 正常人类总是自信满满地开始正向滑动，自信地表现是疯狂加速 for track in tracks['forward_tracks']: ActionChains(driver).move_by_offset(xoffset=track, yoffset=0).perform() # 结果傻逼了，正常的人类停顿了一下，回过神来发现，卧槽，滑过了,然后开始反向滑动 time.sleep(0.5) for back_track in tracks['back_tracks']: ActionChains(driver).move_by_offset(xoffset=back_track, yoffset=0).perform() # # # 小范围震荡一下，进一步迷惑极验后台，这一步可以极大地提高成功率 ActionChains(driver).move_by_offset(xoffset=3, yoffset=0).perform() ActionChains(driver).move_by_offset(xoffset=-3, yoffset=0).perform() # # 成功后，骚包人类总喜欢默默地欣赏一下自己拼图的成果，然后恋恋不舍地松开那只脏手 time.sleep(0.5) ActionChains(driver).release().perform() def login_luffy(username, password): driver = webdriver.Chrome('/Users/wupeiqi/drivers/chromedriver') driver.set_window_size(960, 800) try: # 1、输入账号密码回车 driver.implicitly_wait(3) driver.get('https://www.luffycity.com/login') input_username = driver.find_element_by_xpath('//*[@id="router-view"]/div/div/div[2]/div[2]/input[1]') input_pwd = driver.find_element_by_xpath('//*[@id="router-view"]/div/div/div[2]/div[2]/input[2]') input_username.send_keys(username) input_pwd.send_keys(password) # 2、破解滑动认证 crack(driver) time.sleep(10) # 睡时间长一点，确定登录成功 finally: pass # driver.close() if __name__ == '__main__': login_luffy(username='wupeiqi', password='123123123')