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To achieve this goal, follow these steps:
Define Decide which version image flavour 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.
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| Code Block | ||
|---|---|---|
| ||
// 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.
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