robotframework-imagehorizonlibrary 1.0

Cross-platform Robot Framework library for GUI automation based on image recognition

This Robot Framework library provides the facilities to automate GUIs based on image recognition similar to Sikuli. This library wraps pyautogui to achieve this.

For non pixel perfect matches, there is a feature called confidence level that comes with a dependency OpenCV (python package: opencv-python). This functionality is optional - you are not required to install opencv-python package if you do not use confidence level.

Keyword documentation

Keyword Documentation

Travis CI

Travis CI

Prerequisites

• Python 3.x

• pip for easy installation

• pyautogui and it’s prerequisites

• Robot Framework

On Ubuntu, you need to take special measures to make the screenshot functionality to work correctly. The keyboard functions might not work on Ubuntu when run in VirtualBox on Windows.

Development

• mock

Installation

If you have pip, installation is straightforward:

$ pip install robotframework-imagehorizonlibrary

This will automatically install dependencies as well as their dependencies.

Windows

ImageHorizonLibrary should work on Windows “out-of-the-box”. Just run the commands above to install it.

OSX

NOTICE ImageHorizonLibrary does not currently work with XCode v.8. Please use a previous version.

You additionally need to install these for pyautogui:

$ pip install pyobjc-core pyobjc

For these, you need to install XCode

Linux

You additionally need to install these for pyautogui:

$ sudo apt-get install python-dev python-xlib

You might also need, depending on your Python distribution, to install:

$ sudo apt-get install python-tk

If you are using virtualenv, you must install python-xlib manually to the virtual environment for pyautogui:

• Fetch the source distribution

• Install with:

$ pip install python-xlib-<latest version>.tar.gz

Running unit tests

$ python tests/utest/run_tests.py [verbosity=2]

Running acceptance tests

Additionally to unit test dependencies, you also need OpenCV, Eel, scrot and Chrome/Chromium browser. OpenCV is used because this tests are testing also confidence level. Browser is used by Eel for cross-platform GUI demo application. scrot is used for capturing screenshots.

::

$ pip install opencv-python eel

To run tests, run this command:

$ python tests/atest/run_tests.py

Updating Docs

To regenerate documentation (doc/ImageHorizonLibrary.html), use this command:

$ python -m robot.libdoc -P ./src ImageHorizonLibrary doc/ImageHorizonLibrary.html