Google Cloud Tasks Samples

Sample command-line programs for interacting with the Cloud Tasks API .

App Engine queues push tasks to an App Engine HTTP target. This directory contains both the App Engine app to deploy, as well as the snippets to run locally to push tasks to it, which could also be called on App Engine.

create_http_task.py is a simple command-line program to create tasks to be pushed to an URL endpoint.

create_http_task_with_token.py is a simple command-line program to create tasks to be pushed to an URL endpoint with authorization header.

main.py is the main App Engine app. This app serves as an endpoint to receive App Engine task attempts.

app.yaml configures the App Engine app.

Prerequisites to run locally:

Please refer to Setting Up a Python Development Environment.

Authentication

To set up authentication, please refer to our authentication getting started guide.

Creating a queue

To create a queue using the Cloud SDK, use the following gcloud command:

gcloud beta tasks queues create-app-engine-queue my-appengine-queue

Note: A newly created queue will route to the default App Engine service and version unless configured to do otherwise.

Run the Sample Using the Command Line

Set environment variables:

First, your project ID:

export PROJECT_ID=my-project-id

Then the queue ID, as specified at queue creation time. Queue IDs already created can be listed with gcloud beta tasks queues list.

export QUEUE_ID=my-appengine-queue

And finally the location ID, which can be discovered with gcloud beta tasks queues describe $QUEUE_ID, with the location embedded in the "name" value (for instance, if the name is "projects/my-project/locations/us-central1/queues/my-appengine-queue", then the location is "us-central1").

export LOCATION_ID=us-central1

Using HTTP Push Queues

Set an environment variable for the endpoint to your task handler. This is an example url to send requests to the App Engine task handler:

export URL=https://<project_id>.appspot.com/example_task_handler

Running the sample will create a task and send the task to the specific URL endpoint, with a payload specified:

python create_http_task.py --project=$PROJECT_ID --queue=$QUEUE_ID --location=$LOCATION_ID --url=$URL --payload=hello