The Python Runtime
Overview
Your Cloud Run function runs in an environment consisting of an operating system version plus add-on packages, language support, and the Functions Framework library that supports and invokes your function. This environment is identified by the language version, and is known as the runtime.
For information about runtimes in general, and to learn which Ubuntu version each Python runtime uses, see the Cloud Run functions execution environment.
To get started with Python on Cloud Run functions, see the Quickstart.
Select your runtime
Cloud Run functions supports several versions of Python, listed on the Runtime support page. You can select the preferred Python runtime for your function during deployment.
gcloud
If you're using the Google Cloud CLI, specify the runtime
by using the --runtime
parameter. For example:
gcloud functions deploy NAME --runtime python312 --trigger-http FLAGS...
FLAGS...
refers to arguments passed during the first
deployment of your function. For more information regarding required and
optional arguments, see
Deploy using the Google Cloud CLI.
Console
If you're using the Google Cloud console, see the Google Cloud console quickstart for detailed instructions.
Function preparation
You can prepare a function directly from the Google Cloud console or write it on your local machine and upload it. To prepare your local machine for Python development, see Setting Up a Python Development Environment.
To get started quickly with Python on Cloud Run functions, see the Quickstart.
Source code structure
For Cloud Run functions to find your function's definition, your source code must follow a specific structure. See Writing Cloud Run functions for more information.
Specifying dependencies
There are two ways to specify dependencies for Cloud Run functions written
in Python: using the pip
package manager's requirements.txt
file or
packaging local dependencies alongside your function. For more information, see
Specifying dependencies in
Python.
Cloud Run functions doesn't support specifying dependencies with the
Pipfile/Pipfile.lock
. Your project should not include these files.
Environment variables
Your Python runtime automatically sets certain environment variables for your function to use as needed. For details, see Using Environment Variables.