Sample command-line programs for retrieving Google Monitoring API V3 data.

list_resources.py is a simple command-line program to demonstrate connecting to the Google Monitoring API to retrieve API data and print out some of the resources.

custom_metric.py demonstrates how to create a custom metric and write a TimeSeries value to it.

• pip

Go to the Google Cloud Console.

To install, run the following commands. If you want to use virtualenv (recommended), run the commands within a virtualenv.

* pip install -r requirements.txt

Create local credentials by running the following command and following the oauth2 flow:

gcloud beta auth application-default login

To run:

python list_resources.py --project_id=<YOUR-PROJECT-ID>
python custom_metric.py --project_id=<YOUR-PROJECT-ID

On Google App Engine, the credentials should be found automatically.

On Google Compute Engine, the credentials should be found automatically, but require that you create the instance with the correct scopes.

gcloud compute instances create --scopes="https://www.googleapis.com/auth/cloud-platform,https://www.googleapis.com/auth/compute,https://www.googleapis.com/auth/compute.readonly" test-instance

If you did not create the instance with the right scopes, you can still upload a JSON service account and set GOOGLE_APPLICATION_CREDENTIALS as described below.

In non-Google Cloud environments, GCE instances created without the correct scopes, or local workstations if the gcloud beta auth application-default login command fails, use a Service Account by doing the following:

• Go to API Manager -> Credentials

• Click 'New Credentials', and create a Service Account or [click here](https://console.cloud.google .com/project/_/apiui/credential/serviceaccount) Download the JSON for this service account, and set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point to the file containing the JSON credentials.

  export GOOGLE_APPLICATION_CREDENTIALS=~/Downloads/-0123456789abcdef.json

• See CONTRIBUTING.md

• See LICENSE