Testing an Insight Python Model
You can use the xpressinsight
test mode to set up manual or automated tests of your Python code outside Xpress Insight.
Testing your Python code involves simulating user-interface (UI) interactions using functions in the xpressinsight
package along with the data_connector
property. You can run these tests manually or automate them using the pytest
framework.
To set up test mode during the development of a Python Insight app:
- Use the
xpressinsight.create_app
function to create a test environment within the__main__
function:if __name__ == "__main__": app = xi.create_app(InsightApp) sys.exit(app.call_exec_modes(["LOAD", "RUN"]))
This code automatically configures temporary working directories and returns a new
InsightApp
instance. (You can also configure the test environment manually using theAppInterface
classes and methods.) - Use the
data_connector
property to apply modified entity values between execution modes by calling itssave_input()
method. This example sets and applies an entity value before calling theRUN
execution mode:if __name__ == "__main__": app = xi.create_app(InsightApp) app.call_exec_modes("LOAD") # Simulate UI behaviour app.InputEntity = 0.2 app.data_connector.save_input() app.call_exec_mode('RUN')
This process simulates the behavior of a UI user, making it possible to run different scenarios of values assigned to entities outside Xpress Insight.
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