Fix[AI_field_Description]: error handling when credit limit reached #42
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WalkthroughThis pull request introduces enhanced error handling mechanisms across multiple files in the backend and frontend components of the application. Specifically, it adds a new Changes
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Actionable comments posted: 5
🧹 Outside diff range and nitpick comments (3)
frontend/src/services/extract.tsx (1)
42-47: Consider sanitizing error messages from the backend.Direct exposure of backend error messages to the frontend could potentially leak implementation details.
[security]Consider creating a mapping of known error codes to user-friendly messages:
const ERROR_MESSAGES = { CREDIT_LIMIT_EXCEEDED: "You have reached your credit limit. Please upgrade your plan.", DEFAULT: "Failed to generate AI field descriptions. Please try again." }; // Usage in error handling if (axios.isAxiosError(error) && error.response?.data?.error) { const errorCode = error.response.data.code; // Assuming backend sends error codes throw new Error(ERROR_MESSAGES[errorCode] || ERROR_MESSAGES.DEFAULT); }backend/app/api/v1/extract.py (1)
Line range hint
89-92: Remove unused settings reference and improve retry logicThe
settings.max_retriesline appears to be a stray reference. Additionally, the retry mechanism could be enhanced.
- Remove the unused line
- Consider implementing exponential backoff for retries:
- settings.max_retries - retries = 0 - success = False - while retries < settings.max_retries and not success: + for retry_count in range(settings.max_retries): + wait_time = (2 ** retry_count) * 0.1 # exponential backoff starting at 100ms try: data = extract_field_descriptions( api_token=api_key.key, fields=fields.fields ) - success = True return { "status": "success", "message": "Field descriptions generated successfully.", "data": data, } except Exception as e: - logger.error(e) + logger.error(f"Attempt {retry_count + 1}/{settings.max_retries} failed: {str(e)}") logger.log("Retrying AI field description generation.") - retries += 1 + if retry_count < settings.max_retries - 1: + await asyncio.sleep(wait_time)Note: This implementation requires adding:
import asynciobackend/app/requests/__init__.py (1)
Line range hint
1-224: Consider architectural improvements for HTTP client handling.The codebase could benefit from the following architectural improvements:
- Create a common HTTP client wrapper to handle shared error patterns and reduce code duplication
- Move timeout configuration to settings
- Add proper type hints as indicated in the file change summary
Consider creating a base HTTP client class:
from typing import Any, Optional, Dict from urllib.parse import urljoin class APIClient: def __init__(self, base_url: str, timeout: int = 360): self.base_url = base_url self.timeout = timeout def _handle_response(self, response: requests.Response) -> Any: if response.status_code not in [200, 201]: logger.error( f"API request failed. Status code {response.status_code}: {response.text}" ) if response.status_code == 402: raise CreditLimitExceededException( response.json().get("detail", "Credit limit exceeded!") ) raise HTTPException( response.json().get("detail", f"API request failed: {response.text}") ) return response.json() def post(self, endpoint: str, *, headers: Dict, **kwargs) -> Any: url = urljoin(self.base_url, endpoint) response = requests.post( url, headers=headers, timeout=self.timeout, **kwargs ) return self._handle_response(response)This would simplify the individual API functions and ensure consistent error handling.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
- backend/app/api/v1/extract.py (2 hunks)
- backend/app/requests/init.py (3 hunks)
- frontend/src/services/extract.tsx (1 hunks)
🔇 Additional comments (2)
backend/app/api/v1/extract.py (2)
2-2: LGTM: Clean import additionThe new exception import is properly placed and aligns with the error handling enhancement objective.
103-106: Verify integration with extract_field_descriptionsLet's ensure the extract_field_descriptions function properly raises CreditLimitExceededException.
✅ Verification successful
Integration with extract_field_descriptions is properly implemented
The verification shows that:
extract_field_descriptionsfunction inbackend/app/requests/__init__.pycorrectly raisesCreditLimitExceededException- The exception is properly caught and handled in
backend/app/api/v1/extract.py- The error handling is consistent with other parts of the codebase that handle credit limit errors
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for CreditLimitExceededException usage in extract_field_descriptions rg -A 5 "def extract_field_descriptions" app/requests/ rg "CreditLimitExceededException" app/requests/Length of output: 212
Script:
#!/bin/bash # Let's first find where CreditLimitExceededException is defined and used rg "CreditLimitExceededException" # Then find the extract_field_descriptions function rg -A 5 "def extract_field_descriptions" # Also search for any credit limit related code rg -i "credit.?limit"Length of output: 3532
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## release/v0.3.2 #42 +/- ##
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Coverage ? 60.11%
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Files ? 37
Lines ? 1720
Branches ? 0
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Hits ? 1034
Misses ? 686
Partials ? 0 ☔ View full report in Codecov by Sentry. |
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Actionable comments posted: 2
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
- backend/app/api/v1/extract.py (2 hunks)
- backend/app/requests/init.py (3 hunks)
- frontend/src/services/extract.tsx (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- backend/app/api/v1/extract.py
- frontend/src/services/extract.tsx
🔇 Additional comments (1)
backend/app/requests/__init__.py (1)
4-4: LGTM! Appropriate import for enhanced error handling.The addition of
HTTPExceptionfrom FastAPI aligns well with the improved error handling strategy.
…42) * fix[Field_description]: handle error in ai fields when credit limit reached * refactor[code]: improve error handling message and exception handling
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