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_appfunction 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
InsightAppinstance. (You can also configure the test environment manually using theAppInterfaceclasses and methods.) - Use the
data_connectorproperty to apply modified entity values between execution modes by calling itssave_input()method. This example sets and applies an entity value before calling theRUNexecution 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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