As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Python Client for Cloud Scheduler API

GA pypi versions

Cloud Scheduler API: Creates and manages jobs run on a regular recurring schedule.

Quick Start

In order to use this library, you first need to go through the following steps:

  1. Select or create a Cloud Platform project.

  2. Enable billing for your project.

  3. Enable the Cloud Scheduler API.

  4. Setup Authentication.

Installation

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Supported Python Versions

Python >= 3.6

Deprecated Python Versions

Python == 2.7.

The last version of this library compatible with Python 2.7 is google-cloud-scheduler==1.3.0

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-scheduler

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-scheduler

Next Steps

Note

Because this client uses grpcio library, it is safe to share instances across threads. In multiprocessing scenarios, the best practice is to create client instances after the invocation of os.fork() by multiprocessing.Pool or multiprocessing.Process.

This package includes clients for multiple versions of the Cloud Scheduler API. By default, you will get v1, the latest stable version.

v1

Previous beta release v1beta1 is provided as well.

Migration Guide

See the guide below for instructions on migrating to the 2.x release of this library.

Changelog

For a list of all google-cloud-scheduler releases: