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Python tools for working with Google Cloud Platform

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gcp-tools

Python tools for working with Google Cloud Platform

Installation

Requires Docker. If not already installed, install here:

https://docs.docker.com/engine/installation/

Verify Docker is running and that you can connect:

docker ps

Requires Google Cloud SDK. If not already installed, install here:

https://cloud.google.com/sdk/

Make sure your gcloud client is up-to-date (precede with "sudo" if you are not logged in as root.):

gcloud components update

Authenticate using application-default credentials:

gcloud auth application-default login

If you are running gcloud on a different host than where your browser is running, do this instead:

gcloud auth application-default login --no-launch-browser

and follow the directions to authorize access to your account.

Clone this repo:

git clone http://github.com/lukwam/gcp-tools

Build a the docker image from the Dockerfile.

cd gcp-tools

./build.sh

When the container is done building, you can try running it with:

./run.sh create_projects.py my-project-name-01

replacing "my-project-name-01" with the name of the project you'd like to create.

Scripts

create_projects.py

Creates GCP projects.

report.py

Displays information about your GCP resources:

  • Number of organizations
  • Number of billing accounts
  • Number of projects

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