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:

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