Hi @diego.prosoft ,
I did some tests here, with the website and image you mentioned. And in my case the result was the opposite of yours, in firefox it finds the image, and in chrome it does not. Let’s investigate what could be causing this, but for now I suggest three alternatives:
1 - Lower the value of the
matching parameter to a maximum of
0.90, by default it comes with
0.97, but it can be reduced to a maximum of 0.90. Try to do it this way and see if the image is still not being found.
if not self.find( "cpf", matching=0.90, waiting_time=10000):
2 - Redo the cpf/cnpj clipping in BotCity Studio, but define it as text instead of image, as shown in the image below:
3 - Use the BotCity Web framework and define the firefox browser for use, with it it is also possible to interact with images via computer vision in the same way you use in desktop automations, generating automatic codes through BotCity Studio. In addition, you can also instantiate the DesktopBot Class, and use it to perform desktop operations, as shown in the code below.
from botcity.core import DesktopBot
from botcity.web import WebBot, By, Browser
def action(self, execution=None):
# Define whether it will run in headless mode or not, default is False
self.headless = False
# Define which browser you will use, in this case Chrome
self.browser = Browser.CHROME
# the downloaded webdriver path
self.driver_path = "<caminho do seu webdriver chrome>"
# Open Ecac website in Chrome browser
# Find label cnpj
if not self.find( "CNPJ", matching=0.93, waiting_time=10000):
# Part of the process that needs to perform desktop actions
desktop_bot = DesktopBot()
.... continuation code
If none of the alternatives solve your problem, you could use the DOM to access these elements of the ecac website, here the link in our documentation to use this approach.
Thank you for pointing out the issue, we will continue to investigate to fix it.