Increasing Your Cloud Function Development Velocity Using Dynamically Loading Python Classes

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There is a small Python class which leverages the standard Python classloader to load source code from a text file, currently stored in a Google Cloud Storage bucket or a Secret Manager secret. If the loader discovers that the class you’re adding has already been loaded then it performs a reload, ensuring that the latest version from the storage area is used.

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One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on.

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