How To Build A Best In Class Python SDK
Blog post from Speakeasy
The tutorial provides a comprehensive guide on creating a Python SDK to wrap an HTTP API, using a fictional e-commerce startup's API as an example. It begins by explaining the importance of building an SDK for enabling automated and programmatic interactions with APIs. The tutorial outlines the setup process, including managing Python versions with pyenv, setting up a virtual environment, and selecting a modern build backend using Hatchling. It details the creation of the SDK's structure, coding basic functions for interacting with the API, and implementing tests using the responses library to mock API responses. The guide also emphasizes the importance of exception handling, type safety with Enums, and output type safety using Pydantic models. Additionally, it highlights considerations such as documentation, linting, licensing, and handling more complex features like authentication, pagination, and retries. Finally, it covers building and uploading the package to a distribution archive, with a note on the potential for automating SDK creation with managed services like Speakeasy.