Skip to main content

Interact with an app using visual definitions of elements

Project description

velenium

Interact with an app using visual definitions of elements

sample usage

import unittest
from appium import webdriver
import velenium as ve


class VisualTestCase(unittest.TestCase):
    
    def setUpClass(self):
        # given a driver
        self.driver = webdriver.Remote('http://localhost:4723/wd/hub', desired_capabilities={...})
        # or for local desktop automation
        self.driver = ve.VisualDriver()

    def tearDown(self):
        self.driver.quit()

    def test_visual(self):
        # create a visual definition
        element = ve.VisualElement(self.driver, 'path/to/pattern.png')

        # create a visual definition using multiple images using glob path
        element = ve.VisualElement(self.driver, 'path/to/patterns/**/pattern_*.png')

        # assert element is visible
        self.assertTrue(element.is_visible())

        # wait until element is visible, raises TimeoutException from selenium if timeout
        element.wait_until_visible()

        # wait until element is not visible, raises TimeoutException from selenium if timeout
        element.wait_until_not_visible()

        # find only in de middle region
        ve.VisualElement(self.driver, 'path/to/pattern.png', region=ve.LEFT_SIDE).click()

        # custom region, upper right in the example
        ve.VisualElement(self.driver, 'path/to/pattern.png', region=((0.5, 0), (1, 0.5))).click()

        # click on element on de right border
        ve.VisualElement(self.driver, 'path/to/pattern.png', target=ve.RIGHT).click()

        # custom region, center right in the example
        ve.VisualElement(self.driver, 'path/to/pattern.png', target=(0.5, 0)).click()

        # refresh position of element and click
        element.reset_object().click()

        # click and wait no visibility of the element
        element.click().wait_until_not_visible()

        # find with different similarity threshold, by default is 80%
        ve.VisualElement(self.driver, 'path/to/pattern.png', similarity=0.7).click()

        # click the 2nd best match of element
        ve.VisualElement(self.driver, 'path/to/pattern.png', order=1).click()

        # click element at 2nd position in vertical order
        ve.VisualElement(self.driver, 'path/to/pattern.png', order=1, disposal=ve.VERTICAL).click()
        # or
        item = ve.VisualElement(self.driver, 'path/to/pattern.png', disposal=ve.VERTICAL)
        item.matches[1].click()

        # click element at 3er position in horizontal order
        ve.VisualElement(self.driver, 'path/to/pattern.png', order=2, disposal=ve.HORIZONTAL).click()
        # or
        item = ve.VisualElement(self.driver, 'path/to/pattern.png', disposal=ve.HORIZONTAL)
        item.matches[2].click()

        # use another cv2 method to get the match, by default uses CV_CCOEFF
        ve.VisualElement(self.driver, 'path/to/pattern.png', method=ve.CV_SQDIFF).wait_until_visible()

        # count matches
        print(len(element.matches))
        # or
        print(element.count)

        # iterate over matches
        for e in element.matches:
            e.click()

        # enable debug images in "temp/" folder
        element.debug()

        # disable debug images
        element.debug(False)


if __name__ == '__main__':
    unittest.main()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

velenium-0.5.3.tar.gz (6.4 kB view details)

Uploaded Source

File details

Details for the file velenium-0.5.3.tar.gz.

File metadata

  • Download URL: velenium-0.5.3.tar.gz
  • Upload date:
  • Size: 6.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.2

File hashes

Hashes for velenium-0.5.3.tar.gz
Algorithm Hash digest
SHA256 62a055da42f3ca5a12a2c5ca350dad4b38393cea399730fd1c8988458ed7dbcd
MD5 d628bcc65be42bd98bc87f4571f8d774
BLAKE2b-256 fc5cfb3bf7f8896ffc1bac6a6547bf8784f2d2fd2c71d9e6ce9404de3dfbe564

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page