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Python runtime

The python runtime allows you to run generic python function. The runtime introduces a function of kind python and three task of kind job, serve and build. With job action you can run a python function as a job. With serve action you can run a python function as a service. With build action you build a docker image with all the dependencies and reuse that container to run the function avoiding the overhead of dependencies installation during the runtime.

Prerequisites

Python version and libraries:

  • python >= 3.9, <3.13
  • digitalhub-runtime-python

The package is available on PyPI:

python -m pip install digitalhub-runtime-python

Overwiew

With the python runtime you can use the function's run() method to execute a python function you have defined. The python runtime execution workflow follows roughly these steps:

  1. Define somewhere a python function.
  2. Create a Function object in the platform and execute the function's run() method.
  3. The runtime collects the inputs specified in the function as SDK objects (Dataitem, Artifact, Model).
  4. It fetches the function source code and import the function handler.
  5. It composes the parameters for the handler function.
  6. It executes the function and map the outputs as SDK objects or as simple results.

User HOWTO

As delined in the description of the runtime workflow, to execute a python function the user should proceed with the following three steps:

  1. Write the function to execute.
  2. Create a Function object.
  3. Execute the function's run() method.

You can jump now on function definition.