test(vercel): add unit tests for extract helpers - #4672
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Greptile code reviewThis repo uses Greptile for automated review. Before merge, aim for Confidence Score: 5/5 with zero unresolved review threads — see CONTRIBUTING.md. Run a review — add a PR comment with: Give it ~5-10 minutes (sometimes longer) for results, then fix feedback and re-trigger until you reach Confidence Score: 5/5. Optional: automate with the greploop skill. |
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Greptile SummaryAdds focused unit tests for Vercel event-text and runtime-log extraction helpers, covering field precedence, fallback behavior, empty values, missing fields, and non-dictionary payloads. Confidence Score: 5/5The PR appears safe to merge. No blocking failure remains.
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| Filename | Overview |
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| tests/integrations/vercel/test_extract_helpers.py | Adds discoverable unit tests whose assertions align with the current helper implementations and established test patterns. |
Reviews (2): Last reviewed commit: "test(vercel): add explicit empty value t..." | Re-trigger Greptile
cerencamkiran
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Could you also add explicit tests for empty values? The issue asks for both missing and empty cases.
Thanks for the review, I'll add explicit tests for empty values and update the PR shortly. |
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@greptile review |
Done! I've added explicit empty-value test cases and pushed the update. |
Fixes #4653
Describe the changes you have made in this PR
Added unit tests for the following helper functions in
integrations/vercel/client.py:_extract_event_text_extract_runtime_log_messageThe tests cover:
textextractionpayload.textextractionmessageextractionpayload.text,payload.message, andpayload.bodyNo production code was modified.
Demo/Screenshot for feature changes and bug fixes
Not applicable. This PR only adds unit tests.
Code Understanding and AI Usage
If you used AI assistance
Explain your implementation approach
I first reviewed the implementations of
_extract_event_textand_extract_runtime_log_messageto understand their behavior and fallback logic.Based on the implementation and the issue requirements, I identified the expected behaviors and wrote unit tests covering normal inputs, fallback paths, and missing/empty payload cases. I verified the tests locally using
pytestand ensured the test file passes formatting and linting checks with Ruff.Checklist before requesting a review