Getting Started with Compute Engine and the Google Python Client Library

Google Compute Engine features a RESTful API that allows developers to run virtual machines in the cloud. This sample python command-line application demonstrates how to access the Compute Engine API using the Google Python API Client Library. For more information about the library, read the Getting Started: Google Python Client Library documentation.

To run the demo:

Update the variables in the settings.json file.
- <your-project-id>: your Compute Engine project ID.
- <image-url>: the string URL of an image (for example, http://lh6.ggpht.com/-TqOY_FXI6cE/SbGZ0Nb0UtI/AAAAAAAADG4/m_Kr5y-IPpM/s640/android-wallpaper5_2560x1600.jpg)
- <image-text>: some text to display over the image.
- <your-cloud-storage-bucket>: your bucket on Google Cloud Storage.
Update the client_secrets.json file with your client id and secret found in the Google APIs Console.
Run the sample using the command:

python main.py

Demo steps:

Create an instance with a start up script and metadata.
Print out the URL where the modified image will be written.
The start up script executes these steps on the instance:
- Installs Image Magick on the machine.
- Downloads the image from the URL provided in the metadata.
- Adds the text provided in the metadata to the image.
- Copies the edited image to Cloud Storage.
After recieving input from the user, shut down the instance.

Products

Language

Python

Dependencies

Google APIs Client Library for Python

License

PatentedAnimal/compute-getting-started-python

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