# -*- coding: utf-8 -*-
import time
import random
from io import BytesIO
from PIL import Image
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC


class Slide(object):
 """滑動驗證碼破解"""

 def __init__(self, target):
 self.target = target # 要搜索的公司名稱
 self.driver = webdriver.Chrome()
 self.wait = WebDriverWait(self.driver, 10)

 def crop(self, left, top, right, bottom, pic_name):
 """截屏并裁剪"""
 ss = Image.open(BytesIO(self.driver.get_screenshot_as_png()))
 cp = ss.crop((left, top, right, bottom)) # 注意這里順序
 cp.save(pic_name)
 return cp

 def calc_move(self, pic1, pic2):
 """根據(jù)閾值計算移動距離"""
 pix1 = pic1.load()
 pix2 = pic2.load()
 threshold = 200
 move = 0
 # 因為滑塊都從左向右滑動，而碎片本身寬度為60所以從60開始遍歷
 for i in range(60, pic1.size[0]):
  flag = False
  for j in range(pic1.size[1]):
  r = abs(pix1[i, j][0] - pix2[i, j][0])
  g = abs(pix1[i, j][1] - pix2[i, j][1])
  b = abs(pix1[i, j][2] - pix2[i, j][2])
  # if r > threshold and g > threshold and b > threshold:
  # 方法1：分別判斷rgb大于閾值
  # flag = True
  # break
  if r + g + b > threshold:
   # 方法2：判斷rgb總和跟閾值比較，效果比1好 為什么呢？？
   flag = True
   break
  if flag:
  move = i
  break
 return move

 def path1(self, distance):
 """繪制移動路徑方法1，構造一個等比數(shù)列"""
 q = 0.4 # 測試后發(fā)現(xiàn)0.4效果最佳
 n = 10 # 最多移動幾次
 a1 = ((1 - q) * distance) / (1 - q**n)
 result = []
 for o in range(1, n + 1):
  an = a1 * q**(o - 1)
  if an < 0.1: # 小于移動閾值的就不要了
  break
  t = random.uniform(0, 0.5) # 測試后0.5秒的間隔成功率最高
  result.append([an, 0, t])
 return result

 def path2(self, distance):
 """繪制移動路徑方法2,模擬物理加速、減速運動，效果比1好"""
 result = []
 current = 0
 # 減速閾值
 mid = distance * 4 / 5
 # 計算間隔
 t = 0.2
 # 初速度
 v = 0
 while current < (distance - 10):
  if current < mid:
  # 加速度為正2
  a = 2
  else:
  # 加速度為負3
  a = -3
  # 初速度v0
  v0 = v
  # 當前速度v = v0 + at
  v = v0 + a * t
  # 移動距離x = v0t + 1/2 * a * t^2
  move = v0 * t + 0.5 * a * t * t
  # 當前位移
  current += move
  # 加入軌跡
  result.append([round(move), 0, random.uniform(0, 0.5)])
 return result

 def run(self):
 self.driver.get("http://www.gsxt.gov.cn/index")
 input_box = self.driver.find_element_by_id('keyword')
 input_box.send_keys(self.target)
 search_btn = self.driver.find_element_by_id('btn_query')
 time.sleep(3) # 注意這里等一下再點，否則會出現(xiàn)卡死現(xiàn)象
 search_btn.click()
 # 等待驗證碼彈出
 bg_pic = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME,
         "gt_cut_fullbg")))
 # html中坐標原點是左上角，右為x軸正方向，下為y軸正方向
 # 輸出的x為正就是此元素距離屏幕左側(cè)距離
 # 輸出的y為正就是此元素距離屏幕上側(cè)距離
 # 所以我們需要截圖的四個距離如下：
 top, bottom, left, right = (
  bg_pic.location['y'], bg_pic.location['y'] + bg_pic.size['height'],
  bg_pic.location['x'], bg_pic.location['x'] + bg_pic.size['width'])
 time.sleep(1)
 cp1 = self.crop(left, top, right, bottom, '1.png')

 # 獲取滑塊按鈕并點擊一下
 slide = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME,
        "gt_slider_knob")))
 slide.click()
 time.sleep(3) # 等3秒報錯信息消失 TODO 這里應該可以改進
 cp2 = self.crop(left, top, right, bottom, '2.png')
 move = self.calc_move(cp1, cp2)

 result = self.path1(move)
 # result = self.path2(move)

 # 拖動滑塊
 ActionChains(self.driver).click_and_hold(slide).perform()
 for x in result:
  ActionChains(self.driver).move_by_offset(xoffset=x[0],yoffset=x[1]).perform()
  # ActionChains(driver).move_to_element_with_offset(to_element=slide,xoffset=x[0],yoffset=x[1]).perform()
  time.sleep(x[-1]) # 如果使用方法1則需要sleep
 time.sleep(0.5)
 ActionChains(self.driver).release(slide).perform() # 釋放按鈕

 time.sleep(0.8)
 element = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, "gt_info_text")))
 ans = element.text
 if u"通過" in ans:
  # 這里也需要等一下才能獲取到具體的鏈接
  element = self.wait.until(EC.presence_of_all_elements_located((By.CLASS_NAME, "search_list_item")))
  for o in self.driver.find_elements_by_xpath(u"http://a[@target='_blank']"):
  print(o.get_attribute("href"))
  self.driver.quit()
 else:
  print("識別失敗")
  self.driver.quit()


if __name__ == '__main__':
 s = Slide('中國平安')
 s.run()

selenium.common.exceptions.WebDriverException: Message: 'chromedriver' executable needs to be in PATH. Please see https://sites.google.com/a/chromium.org/chromedriver/home