"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-05 22:11:47.068750
"""

```python
from typing import Any, Callable, Dict


class FallbackExecutor:
    """
    A class for executing a task and falling back to a default implementation if the primary one fails.

    :param primary_func: The main function to execute.
    :param fallback_func: The function to use as a fallback in case of errors or exceptions from the primary function.
    :param error_types: Optional, a list of exception types for which the fallback should be triggered.
    """

    def __init__(self, primary_func: Callable[..., Any], fallback_func: Callable[..., Any], *, error_types: list[type[BaseException]] = None):
        self.primary_func = primary_func
        self.fallback_func = fallback_func
        self.error_types = error_types or [Exception]

    def execute(self, *args: Any, **kwargs: Any) -> Any:
        """
        Execute the primary function. If an error occurs, revert to the fallback function.

        :param args: Positional arguments for the functions.
        :param kwargs: Keyword arguments for the functions.
        :return: The result of the successfully executed function or None if both failed.
        """
        try:
            return self.primary_func(*args, **kwargs)
        except self.error_types as e:
            # Log error and use fallback
            print(f"Error occurred in primary function: {e}")
            return self.fallback_func(*args, **kwargs)

    def __call__(self, *args: Any, **kwargs: Any) -> Any:
        """
        Call the FallbackExecutor instance as a function.
        :param args: Positional arguments for the functions.
        :param kwargs: Keyword arguments for the functions.
        :return: The result of the successfully executed function or None if both failed.
        """
        return self.execute(*args, **kwargs)


def main_function(data: Dict[str, Any]) -> str:
    """Main task to execute. This is a placeholder implementation."""
    try:
        # Simulate some processing
        processed = data['input'].upper()
    except KeyError as e:
        raise Exception("Input not provided") from e
    return f"Processed Data: {processed}"


def fallback_function(data: Dict[str, Any]) -> str:
    """Fallback task in case of error. This is a placeholder implementation."""
    return "Falling back to default processing."


# Example usage
if __name__ == "__main__":
    data = {'input': 'example'}
    
    # Create FallbackExecutor instance
    fallback_executor = FallbackExecutor(main_function, fallback_function)

    # Execute the task
    result = fallback_executor(data)
    print(result)  # Should be "Processed Data: EXAMPLE"

    # Introduce an error to trigger fallback
    data['input'] = None

    result = fallback_executor(data)
    print(result)  # Should be "Falling back to default processing."
```

This code creates a `FallbackExecutor` class that wraps two functions, one primary and one fallback. It handles exceptions in the primary function by executing the fallback if any of the specified error types are raised. The example usage demonstrates how to create an instance of this class and use it for error recovery.