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Enhanced Error Handling with User-Friendly Messages
This module provides structured error tracking and user-friendly error messages
for API responses.
"""
from enum import Enum
from typing import Any
from fastapi import HTTPException
from pydantic import BaseModel
from core.logging import log_error, logger
class ErrorCategory(str, Enum):
"""Error categories for better error handling"""
CLIENT_ERROR = "client_error" # User input issues (400-level)
SERVER_ERROR = "server_error" # Internal server issues (500-level)
VALIDATION_ERROR = "validation_error" # Data validation failures
AUTHENTICATION_ERROR = "authentication_error" # Auth failures
AUTHORIZATION_ERROR = "authorization_error" # Permission issues
NOT_FOUND_ERROR = "not_found_error" # Resource not found
CONFLICT_ERROR = "conflict_error" # Resource conflicts
RATE_LIMIT_ERROR = "rate_limit_error" # Too many requests
class AppError(BaseModel):
"""Structured error model"""
category: ErrorCategory
code: str
message: str # User-friendly message
technical_message: str | None = None # Technical details (dev only)
context: dict[str, Any] | None = None
suggestion: str | None = None # What user should do
# User-friendly error message mappings
ERROR_MESSAGES = {
# Database errors
"db_connection_failed": AppError(
category=ErrorCategory.SERVER_ERROR,
code="db_connection_failed",
message="Unable to connect to the database. Please try again later.",
suggestion="If the problem persists, please contact support.",
),
"db_query_timeout": AppError(
category=ErrorCategory.SERVER_ERROR,
code="db_query_timeout",
message="The request took too long to process. Please try again.",
suggestion="Try narrowing your search criteria.",
),
# Validation errors
"invalid_case_id": AppError(
category=ErrorCategory.VALIDATION_ERROR,
code="invalid_case_id",
message="The case ID provided is not valid.",
suggestion="Please check the case ID and try again.",
),
"invalid_date_range": AppError(
category=ErrorCategory.VALIDATION_ERROR,
code="invalid_date_range",
message="The date range is invalid.",
suggestion="Please ensure the start date is before the end date.",
),
"file_too_large": AppError(
category=ErrorCategory.VALIDATION_ERROR,
code="file_too_large",
message="The file you're trying to upload is too large.",
suggestion="Please upload a file smaller than 50MB.",
),
# Authentication errors
"invalid_credentials": AppError(
category=ErrorCategory.AUTHENTICATION_ERROR,
code="invalid_credentials",
message="The username or password you entered is incorrect.",
suggestion="Please check your credentials and try again.",
),
"session_expired": AppError(
category=ErrorCategory.AUTHENTICATION_ERROR,
code="session_expired",
message="Your session has expired.",
suggestion="Please log in again to continue.",
),
# Authorization errors
"insufficient_permissions": AppError(
category=ErrorCategory.AUTHORIZATION_ERROR,
code="insufficient_permissions",
message="You don't have permission to perform this action.",
suggestion="Contact your administrator if you need access.",
),
# Not found errors
"case_not_found": AppError(
category=ErrorCategory.NOT_FOUND_ERROR,
code="case_not_found",
message="The case you're looking for could not be found.",
suggestion="Please verify the case ID and try again.",
),
"evidence_not_found": AppError(
category=ErrorCategory.NOT_FOUND_ERROR,
code="evidence_not_found",
message="The evidence file could not be found.",
suggestion="The file may have been deleted or moved.",
),
# Conflict errors
"case_already_exists": AppError(
category=ErrorCategory.CONFLICT_ERROR,
code="case_already_exists",
message="A case with this ID already exists.",
suggestion="Please use a different case ID or update the existing case.",
),
# Rate limit errors
"rate_limit_exceeded": AppError(
category=ErrorCategory.RATE_LIMIT_ERROR,
code="rate_limit_exceeded",
message="You've made too many requests. Please slow down.",
suggestion="Wait a few minutes before trying again.",
),
# Fraud detection errors
"fraud_analysis_failed": AppError(
category=ErrorCategory.SERVER_ERROR,
code="fraud_analysis_failed",
message="We couldn't complete the fraud analysis.",
suggestion="Please try again or upload different evidence.",
),
# File processing errors
"file_processing_failed": AppError(
category=ErrorCategory.SERVER_ERROR,
code="file_processing_failed",
message="We couldn't process your file.",
suggestion="Please ensure the file is not corrupted and try again.",
),
"unsupported_file_type": AppError(
category=ErrorCategory.VALIDATION_ERROR,
code="unsupported_file_type",
message="This file type is not supported.",
suggestion="Please upload a PDF, image, or video file.",
),
}
def get_error_message(
error_code: str,
context: dict[str, Any] | None = None,
technical_message: str | None = None,
) -> AppError:
"""
Get user-friendly error message for a given error code.
Args:
error_code: Error code identifier
context: Additional context about the error
technical_message: Technical details (only shown in dev mode)
Returns:
AppError: Structured error with user-friendly message
"""
error = ERROR_MESSAGES.get(error_code)
if not error:
# Default error for unknown codes
error = AppError(
category=ErrorCategory.SERVER_ERROR,
code=error_code,
message="An unexpected error occurred.",
suggestion="Please try again later or contact support.",
)
# Add context and technical details
if context:
error.context = context
if technical_message:
error.technical_message = technical_message
return error
def raise_app_error(
error_code: str,
status_code: int = 400,
context: dict[str, Any] | None = None,
technical_message: str | None = None,
log_level: str = "warning",
):
"""
Raise an HTTPException with structured error details.
Args:
error_code: Error code identifier
status_code: HTTP status code
context: Additional error context
technical_message: Technical details for logging
log_level: Logging level (debug, info, warning, error)
"""
error = get_error_message(error_code, context, technical_message)
# Log the error
log_data = {
"error_code": error_code,
"category": error.category,
"status_code": status_code,
"context": context or {},
}
if technical_message:
log_data["technical_message"] = technical_message
if log_level == "error":
log_error(error_code, error.message, log_data)
elif log_level == "warning":
logger.warning(error.message, extra=log_data)
else:
logger.info(error.message, extra=log_data)
# Raise HTTP exception
raise HTTPException(
status_code=status_code,
detail={
"error": {
"code": error.code,
"category": error.category,
"message": error.message,
"suggestion": error.suggestion,
"context": error.context,
}
},
)
def handle_exception(exc: Exception, request_id: str | None = None) -> dict[str, Any]:
"""
Convert any exception to a structured error response.
Args:
exc: Exception to handle
request_id: Optional request ID for tracking
Returns:
dict: Structured error response
"""
error_code = "unknown_error"
# Map common exceptions to error codes
if isinstance(exc, ValueError):
error_code = "invalid_input"
elif isinstance(exc, PermissionError):
error_code = "insufficient_permissions"
elif isinstance(exc, FileNotFoundError):
error_code = "not_found"
elif isinstance(exc, TimeoutError):
error_code = "request_timeout"
error = get_error_message(
error_code,
context={"request_id": request_id} if request_id else None,
technical_message=str(exc),
)
# Log the exception
log_error(
error_code,
str(exc),
{"exception_type": type(exc).__name__, "request_id": request_id},
)
return {
"error": {
"code": error.code,
"category": error.category,
"message": error.message,
"suggestion": error.suggestion,
"request_id": request_id,
}
}
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