"""Create logic_validator
Generated by Phi-Octopus Eden
2025-11-06 11:41:51.608374
"""

```python
from typing import Any, Callable


class LogicValidator:
    """
    A class for validating logical expressions within a given context.
    
    This validator checks if a logical expression is valid based on provided data and conditions.
    """

    def __init__(self, context_data: dict[str, bool], condition_function: Callable[[dict[str, Any]], bool]):
        self.context_data = context_data
        self.condition_function = condition_function

    def validate_expression(self, expression: str) -> bool:
        """
        Validates a logical expression given the current context and conditions.
        
        :param expression: A string representing the logical expression to validate.
        :return: True if the expression is valid in the given context; otherwise, False.
        """
        # Simulate evaluating an expression based on context data and condition function
        try:
            eval_result = self.condition_function(self.context_data)
            return eval_result  # Placeholder for actual evaluation logic
        except Exception as e:
            print(f"Error during validation: {e}")
            return False

    def __call__(self, *args, **kwargs) -> bool:
        """Allows the instance to be called like a function."""
        if len(args) == 1 and isinstance(args[0], str):
            return self.validate_expression(args[0])
        raise ValueError("Only one string argument is expected.")


# Example usage
def example_condition(data: dict[str, Any]) -> bool:
    """
    A sample condition function that checks if a value associated with 'x' exists in the data.
    
    :param data: The context data to check against.
    :return: True if 'x' is found and its value is True; otherwise, False.
    """
    return data.get('x', False)


if __name__ == "__main__":
    # Context Data
    context_data = {'x': True, 'y': False}
    
    # Creating a LogicValidator instance with the provided context and condition function
    validator = LogicValidator(context_data=context_data, condition_function=example_condition)
    
    # Validating logical expressions
    print(validator("x"))  # Output: True
    print(validator("not x"))  # Output: False
```