More async eval tests

[Anmol6]

Summary by CodeRabbit

• New Features

  • Introduced an asynchronous version of the AI query function for improved performance.

• Tests

  • Added new async test cases for user detail extraction to ensure reliability and efficiency.

[coderabbitai]

Walkthrough

The recent updates introduce asynchronous capabilities to the testing suite. A new ask_ai_async function has been added for asynchronous AI querying, and an async test function test_extract_async has been implemented to handle asynchronous user detail extraction. These changes suggest a shift towards non-blocking operations, likely to improve test execution efficiency.

Changes

Files	Changes
.../test_entities.py	Added ask_ai_async function for asynchronous execution.
.../test_extract_users.py	Added test_extract_async async test function with parameters for asynchronous user detail extraction.

Poem

🐇 "In the realm of code, where tests run deep,
Async patterns now take the leap.
Queries and tests, with non-blocking cheer,
A rabbit's work, now swift and clear!" 🚀

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Review Status

Actionable comments generated: 0

Configuration used: CodeRabbit UI

Commits

Files that changed from the base of the PR and between 694414e and 876589e.

Files selected for processing (2)

• tests/openai/evals/test_entities.py (2 hunks)
• tests/openai/evals/test_extract_users.py (1 hunks)

Additional comments: 3

tests/openai/evals/test_entities.py (2)

• 60-75: The addition of ask_ai_async aligns with the PR's objective to introduce asynchronous testing capabilities. The function is correctly defined with the async keyword and uses await for asynchronous API calls.

• 120-132: The addition of test_extract_async aligns with the PR's objective to enhance the testing suite with asynchronous tests. The function is correctly decorated with pytest.mark.asyncio for async test cases and pytest.mark.parametrize for parameterized testing.

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

• 54-82: The addition of the test_extract_async function aligns with the PR's objective to enhance the testing suite with asynchronous capabilities. The use of pytest.mark.parametrize with product(models, test_data, modes) ensures that the test will run for all combinations of models, data, and modes, which is good for thoroughness. The async function is correctly defined with the async keyword, and await is used before the asynchronous call to aclient.chat.completions.create, which is consistent with the async/await pattern in Python. The assertions for name and age are also correctly implemented.