Python Automation - verify identification

First, prepare

1, environmental infrastructure: Python3 + pycharm + selenium + request + Pillow, drivers chrome browser.

　　1) python: here is Python3.7, installation slightly;

　　2) pycharm: Editor to create Python engineering, installation slightly;

　　3) selenium: Python3 environment should own pip.exe, simply enter pip install selenium cmd command window for installation;

　　4) request: identifying an interface, simply enter pip install request for installation cmd command window;

　　5) Pillow: Images for cutting, simply enter pip install pillow cmd command window for installation;

　　Driver 6) chrome browser: to: http://chromedriver.storage.googleapis.com/index.html?  Download the appropriate chromedriver.exe, backward compatible with 64-bit, you can download 32. On the Python installation directory, see https://www.cnblogs.com/yuntimer/p/11178530.html after decompression

2, easy to source website - Interface algorithms (fee), where the need to register the purchase verification algorithm code interfaces, users prepare the above mentioned id ( my_appId ) and password ( my_appSecret ), the site where users note.

Second, the realization

1, the source site Yi - authentication code recognition - Request example, download the Python-SDK, unzip the Python installation on libraries (eg: D: \ Python37 \ Lib);

2, the use of selenium start the chrome browser, enter verification code to fill in the page:

1  '' ' call the chrome browser, open maximized browser ' '' 
2 Driver = webdriver.Chrome () # open the browser 
3 driver.get ( " Code page URL " ) # to open the address 
4  driver.maximize_window ()
 . 5 the time.sleep (2)

View Code

3, the screenshot browser images, cut (Pillow library), written picture cutting function:

1  '' ' 2, screenshot browser images, cut (Pillow library), extracted from the CAPTCHA page ' '' 
2  DEF   jietu ():
 . 3      driver.save_screenshot ( " D: /yemian.png " )
 4      '' ' using a coordinate manner, the coordinates of the upper left corner to get the codes '' ' 
. 5      LEFT_TOP = driver.find_element_by_id ( " captchaImg " ) .location
 . 6      Print ( " left corner " , LEFT_TOP)
 . 7      X1 = LEFT_TOP [ ' X ' ] # verification box x coordinate of the upper left corner 
. 8      Y1 = LEFT_TOP [ 'and '] # Verification box y-axis coordinates of the upper left corner 
9      '' ' taken bottom right coordinates ' '' 
10      IMG = driver.find_element_by_id ( " captchaImg " ) # positioning image 
. 11      X2 = img.size [ ' width ' ] X1 +   # Get the width of the image + x1 ===== "right scale 
12 is      Y2 = img.size [ ' height ' ] + Y1 # coordinates acquired image height Y1 ================ +" 
13 is      Print ( " four points coordinates " , X1, Y1, X2, Y2)
 14      '' ' by using the four image coordinates cut ' ''
15      yan_img Image.open = (" D: /yemian.png " ) # Open Image 
16      yan_ma = yan_img.crop ((X1, Y1, X2, Y2))
 . 17      yan_ma.save ( " D: /yanzhengma.png " ) # saved on the hard disk

View Code

4, for the identification codes, (Yi source interface), the source site Yi - image verification method using a corresponding identification code:

Easy source site Example:

from ShowapiRequest import ShowapiRequest

r = ShowapiRequest("http://route.showapi.com/184-4","my_appId","my_appSecret" )
r.addFilePara("image", "替换为你的文件")
r.addBodyPara("typeId", "34")
r.addBodyPara("convert_to_jpg", "0")
r.addBodyPara("needMorePrecise", "0")
res = r.post()
print(res.text) # 返回信息

Self-write implementation:

'' 'For further verification code identification (easy to source interfaces)' '' 
DEF shibieyanzhengma (): 
    # environment using an interface to access interface address ===> you've got to pay attention to things 
    yun1 = ShowapiRequest ( "http: //route.showapi .com / 184-4 "," my_appId "," my_appSecret ") 
# increase the parameter request to an interface 
    yun1.addBodyPara (" typeId "," 36 ") #" 36 ": combinations of alphanumeric, 6 codes 
    yun1.addBodyPara ( "convert_to_jpg", "0" ) # "0": do not need to convert the picture 
    # tell interface identification verification code image file 
    yun1.addFilePara ( "Image", "D: /yanzhengma.png") 
    # access interface 
    result = yun1 .post (). JSON () 
    Print (Result) 
    # extract valid data from JSON 
    text Result = [ 'showapi_res_body'] [ 'the Result'] 
    Print ( "verification code is", text) 
    return text

 Third, script

NOTE: The above implementation is written alphanumeric identification codes _ file type codes.

1, the identification verification - alphanumeric composition 6:

 

 

 

 

pending upgrade