Google Cloud Run functions Python Samples

This directory contains samples for Google Cloud Run functions.

Cloud Run functions is a lightweight, event-based, asynchronous compute solution that allows you to create small, single-purpose functions that respond to Cloud events without the need to manage a server or a runtime environment.

There are two versions of Cloud Run functions:

Cloud Run functions, formerly known as Cloud Functions (2nd gen), which deploys your function as services on Cloud Run, allowing you to trigger them using Eventarc and Pub/Sub. Cloud Run functions are created using gcloud functions or gcloud run. Samples for Cloud Run functions can be found in the functions/v2 folder.
Cloud Run functions (1st gen), formerly known as Cloud Functions (1st gen), the original version of functions with limited event triggers and configurability. Cloud Run functions (1st gen) are created using gcloud functions --no-gen2. Samples for Cloud Run functions (1st generation) can be found in the current functions/ folder.

Setup

Authentication

This sample requires you to have authentication setup. Refer to the Authentication Getting Started Guide for instructions on setting up credentials for applications.

Install Dependencies

Install pip and virtualenv if you do not already have them. You may want to refer to the Python Development Environment Setup Guide for Google Cloud Platform for instructions.
Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.

virtualenv env
source env/bin/activate

Install the dependencies needed to run the samples.

pip install -r requirements.txt

Samples

The client library

This sample uses the Google Cloud Client Library for Python. You can read the documentation for more details on API usage and use GitHub to browse the source and report issues.