Run Python Scripts

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:

  1. Decide which image flavour of the Python engine to run.

  2. For your partition, request a new Calculation Engine of the type Python via PlatformManager. (The engine is then executed through a Job Trigger Calculation.)

  3. 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.

Found an issue in documentation? Write to us.

Â