def get_Verification_code(self):
self.illegal_query()
# 裁剪页面上的验证码图片
imgScreen = Image.open("..\screenshots\car_page.png")
box = (726, 678, 960, 774) #设置要裁剪的区域，可在UI Automator元素列表bounds中查看
img = imgScreen.crop(box) # 裁剪得到一个新的图片
img.save('..\screenshots\indent.png') #保存新的图像
#------------识别新图像上的验证码---------------------------
im = Image.open('..\screenshots\indent.png')
imgry = im.convert('L') # 把彩色图像转化为灰度图像。RBG转化到HSI彩色空间
# imgry.load()
trshold = 170 #灰度阈值设置170，低于这个值的点全部填白色，这个值是关键
table = []
for j in range(256):
if j < trshold:
table.append(0)
else:
table.append(1)
bim = imgry.point(table, '1')
bim.save('..\screenshots\indent.png') #二值化处理后重新保存
# 使用ImageEnhance可以增强图片的识别率,对比度增强
sharpness = ImageEnhance.Contrast(imgry)
sharpness.enhance(1.0)
# 锐度增强
imgen = ImageEnhance.Sharpness(imgry)
imgen.enhance(4.0)
sleep(2)
# code = pytesseract.image_to_string(shar_img)
code = pytesser3.image_file_to_string(
'..\screenshots\indent.png').strip()
print(code)
def login_in(self, username, password):
driver = self.driver
driver.get('http://192.168.9.14:80/')
sleep(2)
driver.find_element_by_id('loginNo').send_keys(username)
driver.find_element_by_id('passWord').send_keys(password)
# 1、验证码图片每刷新一次都会变 此方法暂不采用
# image = self.driver.find_element_by_id('d').get_attribute('src')
# request = urllib.request.Request(image)
# response = urllib.request.urlopen(request)
# get_img = response.read()
# with open('F:\haha\Code.png', 'wb') as fp:
# fp.write(get_img)
# code = pytesser3.image_file_to_string('F:\haha\Code.png')
# print(code)
# 2、对验证码进行区域截图
driver.get_screenshot_as_file(acquire_file_dir() +
'\pic_log\login_code.png')
Image.open(acquire_file_dir() + '\pic_log\login_code.png').crop(
(615, 383, 683,
403)).save(acquire_file_dir() + '\pic_log\login_code.png')
code = pytesser3.image_file_to_string(acquire_file_dir() +
'\pic_log\login_code.png')
driver.find_element_by_id('code').send_keys(code)
driver.find_element_by_id('c').click()
strPath = acquire_file_dir() + '\pic_log\\' \
+ str(datetime.datetime.now().date()) + '-' \
+ str(datetime.datetime.now().time())[0:2] + '-' \
+ str(datetime.datetime.now().time())[3:5] + '-' \
+ str(datetime.datetime.now().time())[6:8] \
+ '.png'
self.driver.get_screenshot_as_file(strPath)
def login():
heads = {
'Accept':
'text / html, application / xhtml + xml, application / xml;q = 0.9, image / webp, * / *;q = 0.8',
'Accept - Encoding':
'gzip, deflate, br',
'Accept - Language':
'zh - CN, zh;q = 0.8',
'Cache - Control':
'max - age = 0',
'Connection':
'keep - alive',
'Content - Length':
'75',
'Content - Type':
'application / x - www - form - urlencoded',
'Referer':
'https://www.douban.com',
'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:58.0) Gecko/20100101 Firefox/58.0'
}
# 获取验验证信息
response = requests.get('https://www.douban.com/j/misc/captcha',
headers=heads)
result = response.json()
captchaUrl = result['url']
captchaToken = result['token']
print(captchaToken)
# 获取验证码图片
response = requests.get('https:' + captchaUrl, headers=heads)
codeimg = response.content
fn = open('code.png', 'wb')
fn.write(codeimg)
fn.close()
fn = open('code.png', 'rb')
text = pytesser3.image_file_to_string(fn, graceful_errors=True)
print(text)
fn.close()
data = {
'source': 'index_nav',
'redir': 'https: // www.douban.com /',
'form_email': '*****@*****.**',
'form_password': '******',
'captcha - id': captchaToken,
'captcha - solution': input("请输入验证码:")
}
#登录
url = 'https://www.douban.com/accounts/login'
response = requests.post(url, data=data, headers=heads)
if ('lovemefan' in response.text):
print('登录成功')
else:
print('登录失败')
def verify_code(image_address):
image = Image.open(image_address)
# 转为灰度图像 设定二值化阈值
image = image.convert('L')
# 对比度增强
sharpness = ImageEnhance.Contrast(image)
sharp_img = sharpness.enhance(2.0)
sharp_img.save(image_address)
result = pytesser3.image_file_to_string(image_address).replace(" ", "")
result.replace("/", "1")
result.replace("\\N", "W")
# result.replace("(", "C")
print(result)
return result
def getVcode(language):
loadVcode(PATH)
twrify(PATH, PATH2)
s = pytesser3.image_file_to_string(PATH2, language=language)
num = 4
result = ''
for c in s:
if num == 0:
break
elif c == " ":
pass
else:
result += c
num -= 1
return result
import pytesser3
from PIL import Image
import os
#print os.getcwd()
image = Image.open('C:\Users\pc\Desktop\qkyunwei\static\jpeg\code.jpeg')
print(pytesser3.image_file_to_string(image, cleanup='cleanup_scratch_flag'))
# coding:utf-8
from urllib import request
from pytesser3 import image_file_to_string
url = "http://60th.zafu.edu.cn/system/resource/survey/createsurveycheckimg.jsp?random="
for i in range(1, 100):
request.urlretrieve(url, r"D:\pycharm-project\exercise\pic\%s.jpg" % i)
f = open(r"D:\pycharm-project\exercise\pic\code.txt", "w+")
for i in range(1, 100):
try:
code = image_file_to_string(r"D:\pycharm-project\exercise\pic\%s.jpg" %
i)
f.write(code)
except UnicodeDecodeError:
f.write('\n')
f.close()
def test_Forgot_password(self):
self.driver.find_element_by_link_text("开始").click()
# 用name定位用户文本输入框
self.account_field = self.driver.find_element_by_id('sign-up-user-name')
# 用name定位密码文本输入框
self.captcha_field = self.driver.find_element_by_id('id_captcha_1')
self.account_field.clear()
self.captcha_field.clear()
self.driver.implicitly_wait(30)
# 输入用户名demo
self.account_field.send_keys('*****@*****.**')
# 输入密码123456
self.captcha_field.send_keys('Qq123456')
# 使用js去点击勾选我已阅读并同意相关
js = "$('#privacy').click();"
self.driver.execute_script(js)
self.driver.implicitly_wait(30)
yes = self.driver.find_element_by_id('login-next').is_enabled()
print(yes)
a = self.driver.find_element_by_id('login-next').click()
# 手机或邮箱格式不对
error_info = self.driver.find_element_by_id('sign-up-invalid-user-name').text
print(error_info)
while error_info == "请输入手机或邮箱":
self.account_field.clear()
self.account_field.send_keys(input("输入正确的手机或邮箱："))
self.driver.find_element_by_id('login-next').click()
error_info = self.driver.find_element_by_id('sign-up-invalid-user-name').text
# 验证码不对
error_info = self.driver.find_element_by_id('sign-up-invalid-captcha').text
if error_info=="请正确输入图中文字或点击图片换一张":
print("验证码不对")
# -------------------对验证码进行区域截图，好吧，这方法有点low------------------
self.driver.get_screenshot_as_file('D:\\image1.jpg') # 比较好理解
im = Image.open('D:\\image1.jpg')
box = (230, 650, 400, 720) # 设置要裁剪的区域
region = im.crop(box) # 此时，region是一个新的图像对象。
# region.show()#显示的话就会被占用，所以要注释掉
region.save("D:/image_code.jpg")
# --------------------图片增强+自动识别简单验证码-----------------------------
# def image_file_to_string(file):
# cwd = os.getcwd()
# try:
# os.chdir("D:\MyCode\Pycharm\Selenium_test\venv\Lib")
# return pytesser3.image_file_to_string(file)
# finally:
# os.chdir(cwd)
im = Image.open("D:\\image_code.jpg")
imgry = im.convert('L') # 图像加强，二值化
sharpness = ImageEnhance.Contrast(imgry) # 对比度增强
sharp_img = sharpness.enhance(2.0)
sharp_img.save("D:\\image_code.jpg")
#time.sleep(3) # 防止由于网速，可能图片还没保存好，就开始识别
img=Image.open("D:\\image_code.jpg")
code = pytesser3.image_file_to_string("D:\\image_code.jpg")
# code即为识别出的图片数字str类型
print(code)
# 打印code观察是否识别正确
self.driver.implicitly_wait(300)
sys.stdout.write(" 已完成:%.3f%%" % float(i / int(4700 / 20)) + '\r')
sys.stdout.flush()
df.to_excel('comment_fromdb.xlsx')
# =============================================================================
# 糗事百科
# =============================================================================
import requests
from bs4 import BeautifulSoup
import re
import pandas as pd
import numpy as np
import os
import sys
import time
import pytesser3
from PIL import ImageGrab
os.chdir(r'C:/Users/hongzk/Desktop')
print(pytesser3.image_file_to_string('ttt.png'))
target = 'https://www.qiushibaike.com/text/'
r = requests.get(target)
html = r.text
parseHtml = BeautifulSoup(html)
contents = parseHtml.find('div', attrs={
'id': 'content-left'
}).find_all("div",
attrs={"class": re.compile("article block untagged mb15.*")})
for content in contents:
message = content.find("a").find("div").find("span").text
while b:
driver.find_element_by_xpath(
"//img[@id='inputImage']/..").click() # 点击刷新验证码
time.sleep(1)
driver.save_screenshot('screenshot.png')
imgelement = driver.find_element_by_id('inputImage')
location = imgelement.location # 获取验证码x,y轴坐标
size = imgelement.size # 获取验证码的长宽
rangle = (int(location['x']), int(location['y']),
int(location['x'] + size['width']),
int(location['y'] + size['height'])) # 写成我们需要截取的位置坐标
i = Image.open("screenshot.png") # 打开截图
result = i.crop(rangle) # 使用Image的crop函数，从截图中再次截取我们需要的区域
result.save('result.png')
yanzhengma = pyt3.image_file_to_string('result.png',
'eng').replace(' ', '')[:4]
print(">%s<" % yanzhengma)
driver.find_element_by_xpath(my.xpath3).clear() #清空验证码输入栏
driver.find_element_by_xpath(my.xpath3).send_keys(yanzhengma) # 输入验证码
driver.find_element_by_xpath(my.xpath4).click() # 点击登陆
time.sleep(2)
# 登陆成功
try:
driver.find_element_by_xpath(
"//div[contains(text(),'验证码不正确,请重新输入验证码')]")
time.sleep(1)
driver.find_element_by_xpath(
"//button[@class = 'swal2-confirm swal2-styled']").click()
except:
b = False
mypage = re.findall('"data":(.*?])}', mydata)
print(mypage)
'''
from PIL import Image, ImageEnhance, ImageFilter, ImageGrab
import pytesser3
import sys
im = Image.open('C:/Users/Administrator/Desktop/text/captcha (1).png')
print(im)
print(im.format)
print(im.size)
print(im.mode)
#im.show()
print(pytesser3.image_file_to_string('C:/Users/Administrator/Desktop/1.png'))
# 二值化
threshold = 140
table = []
for i in range(256):
if i != threshold:
table.append(0)
else:
table.append(1)
rep = {
'O': '0',
