Thanks to the Python engine, you can execute Python code interacting with the partition from inside a Model Class logic.
To achieve this goal, follow these steps:
Define which version of the Python engine to run: Python Engine
Ask the support for enabling this version on your partition: Job Trigger Calculations
Write your logic, script and test it.
Script Sample
Here is a small example of running a script in the Python engine from a Groovy logic
// These parameters will be available to the python job using `pyfx.get_context().parameters()` def params = [ foo: 1234, bar: "baz", ] // The python script you want to run def script = """ import pyfx foo = pyfx.get_context().parameters()["foo"] print(f'Hello {foo}') """) model.startJobTriggerCalculation( "cregistry.pricefx.eu/engineering/pricefx-python-engine/datascience", "latest", // NOTE for production you *should* change this to a specific version to avoid unexpected breakage api.jsonEncode([script: script, parameters: params]), "py" )
Example Logic
You can find a complete sample logic using the Python engine at https://gitlab.pricefx.eu/logic/python-engine-samples-logic.
This logic can be used as a starting point for your own projects.