Resource Manager Overview#
The Cloud Resource Manager API provides methods that you can use to programmatically manage your projects in the Google Cloud Platform. With this API, you can do the following:
- Get a list of all projects associated with an account
- Create new projects
- Update existing projects
- Delete projects
- Undelete, or recover, projects that you don’t want to delete
Don’t forget to look at the Authentication section below. It’s slightly different from the rest of this library.
Here’s a quick example of the full life-cycle:
>>> from google.cloud import resource_manager >>> client = resource_manager.Client() >>> # List all projects you have access to >>> for project in client.list_projects(): ... print(project) >>> # Create a new project >>> new_project = client.new_project('your-project-id-here', ... name='My new project') >>> new_project.create() >>> # Update an existing project >>> project = client.fetch_project('my-existing-project') >>> print(project) <Project: Existing Project (my-existing-project)> >>> project.name = 'Modified name' >>> project.update() >>> print(project) <Project: Modified name (my-existing-project)> >>> # Delete a project >>> project = client.new_project('my-existing-project') >>> project.delete() >>> # Undelete a project >>> project = client.new_project('my-existing-project') >>> project.undelete()
Unlike the other APIs, the Resource Manager API is focused on managing your various projects inside Google Cloud Platform. What this means (currently, as of August 2015) is that you can’t use a Service Account to work with some parts of this API (for example, creating projects).
The reason is actually pretty simple: if your API call is trying to do something like create a project, what project’s Service Account can you use? Currently none.
This means that for this API you should always use the credentials
provided by the Google Cloud SDK, which you can get by running
gcloud auth login.
Once you run that command,
google-cloud-python will automatically pick up the
credentials, and you can use the “automatic discovery” feature of the library.
Start by authenticating:
$ gcloud auth login
And then simply create a client:
>>> from google.cloud import resource_manager >>> client = resource_manager.Client()