README.md

Geist

Computer vision based UI automation library.

Please file bug reports.

Repository

Folder to serve as a location for saved images. These images take the form of an npy file, a numpy array. These can be used to search for the image within the display.

Example:

from geist import DirectoryRepo

repo = DirectoryRepo('root_folder/folder/geist_repo')

Backends

A backend is how geist interacts with the screen. This is different depending on which operating system geist is being run from. This is called with the argument of a screen number. For example, Xvfb based backends on linux can be passed the number 2 to start the Xvfb backend on screen number 2.

Example:

from geist.backends import get_platform_backend

backend = get_platform_backend(screen_number)

GUI

The gui is the user interface that geist will begin watching on. This contains a number of properties/methods used to interact with the screen. It is initialised with a backend.

Example:

from geist import GUI

gui = GUI(backend)

Viewer

A viewer is used to display an image of what geist is looking at at any one time, as well as some functionality to interactively extract and save image data. It is initialised with a gui and a repository. This is done for you in the prereq.py file.

Example:

from geist.pyplot import Viewer

viewer = Viewer(gui, repository)

The first useful method a viewer provides is the ability to view what is happening on the gui with show_capture. You can zoom in to a particular part of the image using the magnifying glass button and return the the original view with the home button.

Example:

viewer.show_capture()

You can also save the image that is displayed in the viewer to the repository, which can then be used later to build finders. To call the save method, pass in the name you want to save the image as. If an image with that name exists already you'll need to pass the set force to True.

Example:

viewer.save('image_name')
viewer.save('image_name', force =True)

You can view the results of a particular finder with the show_found function. This will highlight any part of the gui which the finder matches, whether it is one result or many. It is called with the finder as an argument.

Example:

viewer.show_found(finder)

You can view any images that you have previously saved by calling the show_repo method and passing in the name of the captured image as a string.

You can get the colour of the image in the viewer by using the get_colour method. This will return a hsv object which can be used to create finders, as well as printing out the values. If there is just one colour in this image, it will match only this colour. If there are multiple colours, it will match a range where h is between the minimum h value and maximum h value with the same being true for s and v.

Example:

colour = viewer.get_colour()

Some additional information on Geist can be found [here] (https://github.com/thetestpeople/Geist).

Creating Geist Finders

Geist locates things based on finders. A finder will either return a Location object, or a collection of location objects. A location object is an area of the screen. It has an image attribute as well as an x and y position on the screen in pixels. It also has h and w attribute which are it's size in pixels.

There are also filters available to filter down a list of found Locations as well as a way to slice into the collection to get a subset, usually done by ordering the collection by some property.

There are common examples below.

Finding Saved Images

Saved images are found using either exact finders or finders based on a threshold. Finders based on a threshold will find things with a degree of similarity. There is a predefined threshold finder with a reasonable threshold set. They are created as follows, taking a repo to pull images from:

approx_finder = TemplateFinderFromRepo(repo, ApproxTemplateFinder)
exact_finder = TemplateFinderFromRepo(repo, ExactTemplateFinder)
threshold_finder = TemplateFinderFromRepo(
    repo,
    lambda template: ThresholdTemplateFinder(template, threshold=threshold_integer)
    ) # Replace threshold_integer with some integer value

A saved image can be retrieved and used as a finder with the following syntax:

# This example uses a viewer,show_found to show the finder in a window. During an actual
# script you are more like to use one of the methods on a gui object such as gui.find_all
# or gui.wait_find_one
viewer.show_found(approx_finder.saved_image_name)

Finding By Colour

You can search for regions of a certain colour by defining a colour or range of colours. There are predefined colours in geist.colour or you can define your own using the hsv function from geist.colour. We then locate a region with that colour using a BinaryRegionFinder. Example below:

from geist import BinaryRegionFinder
from geist.colour import hsv

# Colours are defined based on their hue, saturation and value. There are conditions for
# upper and lower bounds for each of the h,s and v arguments in this example but you could
# just as easily swap out '(h >= 160) & (h <= 165)' for '(h == 162)' for a specific value.
PALE_BLUE = hsv(lambda h, s, v: (
    (h >= 160) &
    (h <= 165) &
    (s >= 82) &
    (s <= 87) &
    (v > 250)&
    (v <= 255)))

viewer.show_found(BinaryRegionFinder(PALE_BLUE))

Finding Based on Position

Sometimes we want to find things based on their position on the screen. Geist has a number of built in functions such as bottom_most, column_aligned, intersects etc. These can be imported from geist. Some of them which require two finders such as column_aligned or intersects need to be wrapped in a LocationOperatorFinder which also comes from geist.

from geist import (
    LocationOperatorFinder,
    right_most,
    row_aligned,
)

viewer.show_found(right_most(BinaryRegionFinder(PALE_BLUE)))

# Find the saved image that has the same vertical alignment as a blue thing.
viewer.show_found(LocationOperatorFinder(
    approx_finder.saved_image_name,
    row_aligned,
    BinaryRegionFinder(PALE_BLUE)
    ))

Filtering, Sorting and Slicing

Sometimes you want to filter down the amount of results that you've got. For example, we can imagine that our pale blue finder might find a lot of things. We can filter them by the attributes of the Location objects using the LocationFinderFilter. Example below:

from geist import LocationfinderFilter

# Find only the pale blue things with a height between 15 and 25 pixels
viewer.show_found(LocationFinderFilter(
    lambda loc: 15 < loc.h < 25,
    BinaryRegionFinder(PALE_BLUE)))

Sometimes we want to take a slice of something, such as only the first one or the 2nd to the 5th. We do this using a SliceFinderFilter. Usually when taking a slice, we would want to order them using the SortingFinder first. for example we may want to order them based on width and find only the largest result. Example below.

from geist import (
    SliceFinderFilter,
    SortingFinder,
)

# Sorted based on smallest to largest height.
sorted_blue_things_small = SortingFinder(BinaryRegionFinder(PALE_BLUE), lambda loc: loc.h)

# Sorted based on largest to smallest width, reverse=True flips the sort order
sorted_blue_things_large = SortingFinder(
    BinaryRegionFinder(PALE_BLUE),
    lambda loc: loc.w,
    reverse=True
)

# Blue thing with the smallest height
viewer.show_found(SliceFinderFilter(sorted_blue_things_small)[0])

# Blue things with width that are 2nd-5th largest of the overall result set.
viewer.show_found(SliceFinderFilter(sorted_blue_things_large)[1:4])

Finding things inside other things

To try to find objects inside a Location that you've already found. Use the FinderInFinder.

from geist import FinderInFinder

viewer.show_found(FinderInFinder(approx_finder.find_this, approx_finder.inside_this))

Combining Finders

To combine the results of finders, use the MultipleFinderFinder. This can take as many finders as you would like to combine.

from geist import MultipleFinderFinder

viewer.show_found(MultipleFinderFinder(approx_finder.saved_image_1, approx_finder.saved_image2))