Скачать или смотреть How to Impersonate Service Account in GCP with Python When API is Disabled

Discover how to successfully impersonate a service account in GCP using Python, even when the IAM Service Account Credentials API is disabled.
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This video is based on the question https://stackoverflow.com/q/75287464/ asked by the user 'M. Garrigues' ( https://stackoverflow.com/u/7463438/ ) and on the answer https://stackoverflow.com/a/75294647/ provided by the user 'guillaume blaquiere' ( https://stackoverflow.com/u/11372593/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Troubleshooting Service Account Impersonation in GCP with Python

When working with Google Cloud Platform (GCP), you may encounter situations where you need to impersonate a service account to perform specific actions. However, this process can get complicated, especially if you're faced with errors stemming from an inactive IAM Service Account Credentials API. In this guide, we'll delve into the root of the issue and guide you step-by-step through the solution so you can easily impersonate a service account from your local environment.

The Challenge

In your Python code, you might be using the following snippet to impersonate a service account:

[[See Video to Reveal this Text or Code Snippet]]

Despite your best efforts, you may run into the following error message:

[[See Video to Reveal this Text or Code Snippet]]

This error indicates that the IAM Service Account Credentials API is not activated for your project, which creates a roadblock for using service account impersonation.

Understanding the Solution

The key to resolving this issue lies in specifying a "quota project", which allows you to set the project used for API requests. This is particularly helpful in environments where the local default project may not have the right API services enabled.

Steps to Implement the Solution

Specify the Quota Project:
You can modify your existing Python code to describe which project should be used for performing requests. This is done by adding the quota_project_id parameter as shown below:

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Replace <YOUR QUOTA PROJECT> with the project ID where the IAM Service Account Credentials API is enabled.

Using x-goog-user-project Header:
If you’re operating directly with the API, you can specify the quota project using an HTTP header. Here’s how you can implement it using a curl command:

[[See Video to Reveal this Text or Code Snippet]]

Again, replace <YOUR QUOTA PROJECT> with the appropriate project ID.

Conclusion

By following the steps outlined above, you can successfully impersonate a service account in GCP using Python, even if you face an inactive IAM Service Account Credentials API. Specifying a quota project is essential in ensuring smooth operation across different environments without running into credential acquisition errors. This approach enhances your ability to manage GCP resources efficiently and effectively, paving the way for successful cloud operations.

Now that you have a better understanding of how to manage service account impersonation, you can proceed with your development tasks smoothly. Happy coding!