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Enhance error handling in AIEngine and update ResourceDebugOverlay

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- Added error type handling in AIEngine for better error categorization during model configuration and execution.
- Updated _handle_error method to accept and log error types.
- Improved ResourceDebugOverlay to silently ignore 404 responses from the metrics endpoint, preventing unnecessary logging and retries.
- Refactored authStore to utilize fetchAPI for automatic token handling and improved error logging without throwing exceptions.
This commit is contained in:
IGNY8 VPS (Salman)
2025-11-16 11:44:51 +00:00
parent a492eb3560
commit 8908c11c86
3 changed files with 33 additions and 25 deletions
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26
backend/igny8_core/ai/engine.py
View File

@@ -215,13 +215,15 @@ class AIEngine:
except ValueError as e:
# IntegrationSettings not configured or model missing
error_msg = str(e)
error_type = 'ConfigurationError'
logger.error(f"[AIEngine] {error_msg}")
return self._handle_error(error_msg, fn)
return self._handle_error(error_msg, fn, error_type=error_type)
except Exception as e:
# Other unexpected errors
error_msg = f"Failed to get model configuration: {str(e)}"
error_type = type(e).__name__
logger.error(f"[AIEngine] {error_msg}", exc_info=True)
return self._handle_error(error_msg, fn)
return self._handle_error(error_msg, fn, error_type=error_type)
# Debug logging: Show model configuration (console only, not in step tracker)
logger.info(f"[AIEngine] Model Configuration for {function_name}:")
@@ -373,18 +375,28 @@ class AIEngine:
}
except Exception as e:
logger.error(f"Error in AIEngine.execute for {function_name}: {str(e)}", exc_info=True)
return self._handle_error(str(e), fn, exc_info=True)
error_msg = str(e)
error_type = type(e).__name__
logger.error(f"Error in AIEngine.execute for {function_name}: {error_msg}", exc_info=True)
return self._handle_error(error_msg, fn, exc_info=True, error_type=error_type)
def _handle_error(self, error: str, fn: BaseAIFunction = None, exc_info=False):
def _handle_error(self, error: str, fn: BaseAIFunction = None, exc_info=False, error_type: str = None):
"""Centralized error handling"""
function_name = fn.get_name() if fn else 'unknown'
# Determine error type
if error_type:
final_error_type = error_type
elif isinstance(error, Exception):
final_error_type = type(error).__name__
else:
final_error_type = 'Error'
self.step_tracker.add_request_step("Error", "error", error, error=error)
error_meta = {
'error': error,
'error_type': type(error).__name__ if isinstance(error, Exception) else 'Error',
'error_type': final_error_type,
**self.step_tracker.get_meta()
}
self.tracker.error(error, meta=error_meta)
@@ -399,7 +411,7 @@ class AIEngine:
return {
'success': False,
'error': error,
'error_type': type(error).__name__ if isinstance(error, Exception) else 'Error',
'error_type': final_error_type,
'request_steps': self.step_tracker.request_steps,
'response_steps': self.step_tracker.response_steps
}

7
frontend/src/components/debug/ResourceDebugOverlay.tsx
View File

@@ -128,7 +128,7 @@ export default function ResourceDebugOverlay({ enabled }: ResourceDebugOverlayPr
headers['Authorization'] = `Bearer ${token}`;
}
// Silently handle 404s and other errors - metrics might not exist for all requests
// Silently handle 404s and other errors - metrics might not exist for all requests
try {
const response = await nativeFetch.call(window, `${API_BASE_URL}/v1/system/request-metrics/${requestId}/`, {
method: 'GET',
@@ -136,6 +136,11 @@ export default function ResourceDebugOverlay({ enabled }: ResourceDebugOverlayPr
credentials: 'include', // Include session cookies for authentication
});
// Silently ignore 404s - metrics endpoint might not exist for all requests
if (response.status === 404) {
return; // Don't log or retry 404s
}
if (response.ok) {
const responseData = await response.json();
// Extract data from unified API response format: {success: true, data: {...}}

25
frontend/src/store/authStore.ts
View File

@@ -192,32 +192,23 @@ export const useAuthStore = create<AuthState>()(
}
try {
const API_BASE_URL = import.meta.env.VITE_BACKEND_URL || 'https://api.igny8.com/api';
const token = state.token || getAuthToken();
// Use fetchAPI which handles token automatically and extracts data from unified format
const { fetchAPI } = await import('../services/api');
const response = await fetchAPI('/v1/auth/me/');
const response = await fetch(`${API_BASE_URL}/v1/auth/me/`, {
method: 'GET',
headers: {
'Content-Type': 'application/json',
...(token ? { 'Authorization': `Bearer ${token}` } : {}),
},
credentials: 'include',
});
const data = await response.json();
if (!response.ok || !data.success) {
throw new Error(data.message || 'Failed to refresh user data');
// fetchAPI extracts data field, so response is {user: {...}}
if (!response || !response.user) {
throw new Error('Failed to refresh user data');
}
// Update user data with latest from server
// This ensures account/plan changes are reflected immediately
set({ user: data.user });
set({ user: response.user });
} catch (error: any) {
// If refresh fails, don't logout - just log the error
// User might still be authenticated, just couldn't refresh data
console.warn('Failed to refresh user data:', error);
throw new Error(error.message || 'Failed to refresh user data');
// Don't throw - just log the warning to prevent error accumulation
}
},
}),