Introducing wrapture

Graham Dumpleton, known for his work on the wrapt library, the mod_wsgi module, and New Relic’s Python agent, has released Wrapture, a tool that expands wrapt’s monkey‑patching concepts to make unit testing and code tracing easier. The library lets you wrap any function or method so you can observe its execution or alter its return value without changing the program’s original behavior. In this way, Wrapture positions itself as an alternative to unittest.mock while also serving as an observability mechanism for existing projects.

A key feature is native support for OpenTelemetry, allowing traces to be configured via TOML files. The example configuration shows how to capture call summaries on a Calculator object, specify observations, and direct output to a JSONL file. Although the project is only a few weeks old, its creator describes it as promising.

Wrapture is also notable for its development process: every line of code and documentation was generated by an AI assistant under Dumpleton’s direct supervision, who clarifies that the AI was a production tool, not a design source. Subsequent posts demonstrate test patterns that include result substitution and return‑value transformation, showcasing the library’s flexibility.

This news is relevant because it introduces a solution that simplifies instrumentation and testing in Python environments, reducing manual effort and improving observability for critical applications. It also illustrates how AI can aid in developing tools without compromising design quality.

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