Michael Hu
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"""DTO Validation Utilities
Provides validation functions and utilities for DTOs,
including custom validation decorators and error handling.
"""
from typing import Any, Callable, TypeVar, Union
from functools import wraps
import logging
logger = logging.getLogger(__name__)
T = TypeVar('T')
class ValidationError(Exception):
"""Custom exception for DTO validation errors"""
def __init__(self, message: str, field: str = None, value: Any = None):
self.message = message
self.field = field
self.value = value
super().__init__(self.message)
def __str__(self):
if self.field:
return f"Validation error for field '{self.field}': {self.message}"
return f"Validation error: {self.message}"
def validate_dto(dto_instance: Any) -> bool:
"""Validate a DTO instance
Args:
dto_instance: The DTO instance to validate
Returns:
bool: True if validation passes
Raises:
ValidationError: If validation fails
"""
try:
# Call the DTO's validation method if it exists
if hasattr(dto_instance, '_validate'):
dto_instance._validate()
# Additional validation can be added here
logger.info(f"Successfully validated {type(dto_instance).__name__}")
return True
except ValueError as e:
logger.error(f"Validation failed for {type(dto_instance).__name__}: {e}")
raise ValidationError(str(e)) from e
except Exception as e:
logger.error(f"Unexpected error during validation of {type(dto_instance).__name__}: {e}")
raise ValidationError(f"Validation failed: {e}") from e
def validation_required(func: Callable[..., T]) -> Callable[..., T]:
"""Decorator to ensure DTO validation before method execution
Args:
func: The method to decorate
Returns:
Decorated function that validates 'self' before execution
"""
@wraps(func)
def wrapper(self, *args, **kwargs):
try:
validate_dto(self)
return func(self, *args, **kwargs)
except ValidationError:
raise
except Exception as e:
raise ValidationError(f"Error in {func.__name__}: {e}") from e
return wrapper
def validate_field(value: Any, field_name: str, validator: Callable[[Any], bool],
error_message: str = None) -> Any:
"""Validate a single field value
Args:
value: The value to validate
field_name: Name of the field being validated
validator: Function that returns True if value is valid
error_message: Custom error message
Returns:
The validated value
Raises:
ValidationError: If validation fails
"""
try:
if not validator(value):
message = error_message or f"Invalid value for field '{field_name}'"
raise ValidationError(message, field_name, value)
return value
except ValidationError:
raise
except Exception as e:
raise ValidationError(f"Validation error for field '{field_name}': {e}", field_name, value) from e
def validate_required(value: Any, field_name: str) -> Any:
"""Validate that a field is not None or empty
Args:
value: The value to validate
field_name: Name of the field being validated
Returns:
The validated value
Raises:
ValidationError: If field is None or empty
"""
if value is None:
raise ValidationError(f"Field '{field_name}' is required", field_name, value)
if isinstance(value, (str, list, dict)) and len(value) == 0:
raise ValidationError(f"Field '{field_name}' cannot be empty", field_name, value)
return value
def validate_type(value: Any, field_name: str, expected_type: Union[type, tuple]) -> Any:
"""Validate that a field is of the expected type
Args:
value: The value to validate
field_name: Name of the field being validated
expected_type: Expected type or tuple of types
Returns:
The validated value
Raises:
ValidationError: If type doesn't match
"""
if not isinstance(value, expected_type):
if isinstance(expected_type, tuple):
type_names = [t.__name__ for t in expected_type]
expected_str = " or ".join(type_names)
else:
expected_str = expected_type.__name__
actual_type = type(value).__name__
raise ValidationError(
f"Field '{field_name}' must be of type {expected_str}, got {actual_type}",
field_name, value
)
return value
def validate_range(value: Union[int, float], field_name: str,
min_value: Union[int, float] = None,
max_value: Union[int, float] = None) -> Union[int, float]:
"""Validate that a numeric value is within a specified range
Args:
value: The numeric value to validate
field_name: Name of the field being validated
min_value: Minimum allowed value (inclusive)
max_value: Maximum allowed value (inclusive)
Returns:
The validated value
Raises:
ValidationError: If value is outside the range
"""
if min_value is not None and value < min_value:
raise ValidationError(
f"Field '{field_name}' must be >= {min_value}, got {value}",
field_name, value
)
if max_value is not None and value > max_value:
raise ValidationError(
f"Field '{field_name}' must be <= {max_value}, got {value}",
field_name, value
)
return value
def validate_choices(value: Any, field_name: str, choices: list) -> Any:
"""Validate that a value is one of the allowed choices
Args:
value: The value to validate
field_name: Name of the field being validated
choices: List of allowed values
Returns:
The validated value
Raises:
ValidationError: If value is not in choices
"""
if value not in choices:
raise ValidationError(
f"Field '{field_name}' must be one of {choices}, got '{value}'",
field_name, value
)
return value