Add benchmarks for user-extract

[jxnl]

Summary by CodeRabbit

• Tests
  • Enhanced the testing suite with benchmarking capabilities for performance analysis.

[coderabbitai]

Walkthrough

The update introduces a benchmarking feature to a test function, allowing for performance measurement of a specific code block. This is achieved by adding a new parameter to the function and wrapping the targeted code within an inner function that is then benchmarked. The primary functionality of the test, which involves making a call to a chat completion method and asserting the response, remains intact.

Changes

File Path	Change Summary
.../test_extract_users.py	Added a benchmark parameter to test_extract and implemented benchmarking for the client.chat.completions.create call.

🐇✨
To measure the time it takes,
A rabbit hops with careful stakes.
In tests, we now can see,
How fast our code can truly be. 🚀
🐇✨

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Review Status

Actionable comments generated: 0

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Commits

Files that changed from the base of the PR and between ef70801 and 2659871.

Files ignored due to filter (2)

• poetry.lock
• pyproject.toml

Files selected for processing (1)

• tests/openai/evals/test_extract_users.py (2 hunks)

Additional comments: 1

tests/openai/evals/test_extract_users.py (1)

• 32-49: > Note: This review was outside the patches, so it was mapped to the patch with the greatest overlap. Original lines [21-47]

The changes to introduce benchmarking with the benchmark parameter and the run function encapsulation are correctly implemented. Ensure that the benchmark parameter is provided by the test framework and that any necessary setup or imports for benchmarking are present elsewhere in the codebase.