class UnsupportedTypeError
A custom exception class that is raised when an unsupported or unexpected type is encountered during type validation or type checking operations.
/tf/active/vicechatdev/rmcl/exceptions.py
16 - 19
simple
Purpose
This exception class extends Python's built-in Exception class to provide a specific error type for situations where a value or object does not match the expected type. It allows developers to catch and handle type-related errors separately from other exceptions, making error handling more precise and code more maintainable. This is particularly useful in type validation scenarios, data processing pipelines, or when enforcing strict type contracts in APIs.
Source Code
class UnsupportedTypeError(Exception):
"""Not the expected type"""
def __init__(self, msg):
super(UnsupportedTypeError, self).__init__(msg)
Parameters
| Name | Type | Default | Kind |
|---|---|---|---|
bases |
Exception | - |
Parameter Details
msg: A string message that describes the type error. This message should explain what type was expected versus what type was actually received, providing context to help developers debug the issue. The message is passed to the parent Exception class and will be displayed when the exception is raised or printed.
Return Value
Instantiation returns an UnsupportedTypeError exception object that can be raised using the 'raise' keyword. When raised, it will propagate up the call stack until caught by an appropriate exception handler. The exception object contains the error message provided during instantiation, accessible via str(exception) or exception.args[0].
Class Interface
Methods
__init__(self, msg: str) -> None
Purpose: Initializes the UnsupportedTypeError exception with a custom error message
Parameters:
msg: A string describing the type error, typically explaining what type was expected versus what was received
Returns: None - this is a constructor that initializes the exception instance
Attributes
| Name | Type | Description | Scope |
|---|---|---|---|
args |
tuple | Inherited from Exception base class. Contains the error message as a tuple, accessible as args[0]. This is automatically set by the parent Exception class. | instance |
Usage Example
# Example 1: Raising the exception
def process_data(value):
if not isinstance(value, (int, float)):
raise UnsupportedTypeError(f"Expected int or float, got {type(value).__name__}")
return value * 2
# Example 2: Catching the exception
try:
result = process_data("string")
except UnsupportedTypeError as e:
print(f"Type error occurred: {e}")
# Example 3: Using in type validation
class DataValidator:
def validate(self, data, expected_type):
if not isinstance(data, expected_type):
raise UnsupportedTypeError(
f"Data validation failed: expected {expected_type.__name__}, "
f"but received {type(data).__name__}"
)
return True
validator = DataValidator()
try:
validator.validate([1, 2, 3], dict)
except UnsupportedTypeError as e:
print(f"Validation error: {e}")
Best Practices
- Always provide a descriptive error message when raising this exception, including both the expected type and the actual type received
- Use this exception specifically for type-related errors rather than general validation errors to maintain clear error semantics
- Catch this exception specifically when you need to handle type errors differently from other exceptions
- Consider including the variable name or context in the error message to make debugging easier
- This exception should be raised as early as possible when a type mismatch is detected to fail fast
- Document in your function/method docstrings when this exception might be raised
- The exception inherits from Exception, so it will be caught by generic 'except Exception' handlers - be mindful of exception handling hierarchy
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