fix: improve error handling - #1099
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We are closing this pr as it has no linking issue to it. If your is actually related to a isssue assigned to u then create a new pr and link the issue in discription. |
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Caution Review failedThe pull request is closed. ℹ️ Recent review info⚙️ Run configurationConfiguration used: Path: .coderabbit.yaml Review profile: CHILL Plan: Pro Plus Run ID: 📒 Files selected for processing (2)
WalkthroughThe pull request adds an explicit base-10 radix to ChangesParsing Consistency
Estimated code review effort: 1 (Trivial) | ~2 minutes Possibly related PRs
Suggested labels: Suggested reviewers: ✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
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| const { id } = await params; | ||
| const doubtId = parseInt(id); | ||
| const doubtId = parseInt(id, 10); |
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Suggestion: The permissive parseInt conversion accepts malformed IDs such as 42abc or 42.9 as 42. Because this is a mutation endpoint, a crafted URL can cause an action intended for an invalid resource to be applied to an existing doubt; validate that the entire route value is a canonical integer before querying. [api mismatch]
Severity Level: Critical 🚨
- ⚠️ PATCH actions can target an unintended existing doubt.
- ⚠️ DELETE requests can delete an unintended existing doubt.
- ⚠️ Malformed identifiers receive misleading mutation results.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** src/app/api/doubts/action/[id]/route.ts
**Line:** 25:25
**Comment:**
*Api Mismatch: The permissive `parseInt` conversion accepts malformed IDs such as `42abc` or `42.9` as `42`. Because this is a mutation endpoint, a crafted URL can cause an action intended for an invalid resource to be applied to an existing doubt; validate that the entire route value is a canonical integer before querying.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix|
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| const { id } = await params; | ||
| const doubtId = parseInt(id); | ||
| const doubtId = parseInt(id, 10); |
There was a problem hiding this comment.
Suggestion: parseInt returns NaN for nonnumeric IDs, but this handler does not check it before passing the value to the Drizzle query. Requests such as /api/doubts/action/not-a-number therefore reach the database and can fail with a database conversion error, which the catch block turns into a 500 instead of the expected 400 invalid-ID response; add the same isNaN validation used by PATCH and the GET handler. [error handling]
Severity Level: Major ⚠️
- ⚠️ Invalid delete requests produce HTTP 500 errors.
- ⚠️ DELETE clients receive misleading internal-server failures.
- ⚠️ Database errors are logged for simple input validation.
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** src/app/api/doubts/action/[id]/route.ts
**Line:** 323:323
**Comment:**
*Error Handling: `parseInt` returns `NaN` for nonnumeric IDs, but this handler does not check it before passing the value to the Drizzle query. Requests such as `/api/doubts/action/not-a-number` therefore reach the database and can fail with a database conversion error, which the catch block turns into a 500 instead of the expected 400 invalid-ID response; add the same `isNaN` validation used by `PATCH` and the GET handler.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
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CodeAnt-AI Description
Use decimal parsing for doubt IDs and analytics date ranges
What Changed
Impact
✅ Fewer invalid doubt ID errors✅ Consistent doubt updates and deletions✅ Reliable analytics date ranges💡 Usage Guide
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