Spaces:
Configuration error
Configuration error
File size: 2,675 Bytes
151ec26 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | from typing import Any, Optional, Dict
from fastapi import HTTPException, status
class SanjeevaniException(HTTPException):
def __init__(
self,
status_code: int,
code: str,
message: str,
details: Optional[Any] = None,
headers: Optional[Dict[str, str]] = None,
):
super().__init__(
status_code=status_code,
detail={"code": code, "message": message, "details": details},
headers=headers,
)
self.code = code
self.message = message
self.details = details
class AuthenticationError(SanjeevaniException):
def __init__(self, message: str = "Invalid credentials", details: Optional[Any] = None):
super().__init__(
status_code=status.HTTP_401_UNAUTHORIZED,
code="AUTHENTICATION_FAILED",
message=message,
details=details,
headers={"WWW-Authenticate": "Bearer"},
)
class PermissionDeniedError(SanjeevaniException):
def __init__(self, message: str = "Access forbidden", details: Optional[Any] = None):
super().__init__(
status_code=status.HTTP_403_FORBIDDEN,
code="PERMISSION_DENIED",
message=message,
details=details,
)
class ResourceNotFoundError(SanjeevaniException):
def __init__(self, resource: str, resource_id: Any = None):
msg = f"{resource} not found" if not resource_id else f"{resource} with ID '{resource_id}' not found"
super().__init__(
status_code=status.HTTP_404_NOT_FOUND,
code="RESOURCE_NOT_FOUND",
message=msg,
)
class ValidationError(SanjeevaniException):
def __init__(self, message: str = "Validation failed", details: Optional[Any] = None):
super().__init__(
status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
code="VALIDATION_ERROR",
message=message,
details=details,
)
class MLModelError(SanjeevaniException):
def __init__(self, message: str = "ML inference failed", details: Optional[Any] = None):
super().__init__(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
code="ML_MODEL_ERROR",
message=message,
details=details,
)
class DocumentProcessingError(SanjeevaniException):
def __init__(self, message: str = "Failed to process document", details: Optional[Any] = None):
super().__init__(
status_code=status.HTTP_400_BAD_REQUEST,
code="DOCUMENT_PROCESSING_FAILED",
message=message,
details=details,
)
|