"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-08 15:08:27.294638
"""

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

class FallbackExecutor:
    """
    A class designed to provide a fallback mechanism for executing functions.
    If an exception occurs during execution of the primary function, it attempts to execute
    a secondary function or re-execute with modified parameters.

    :param primary_func: The main function to be executed.
    :param fallback_func: An optional function that acts as a fallback if the primary function fails.
    :param recovery_params: Additional parameters for the fallback function, if provided.
    """

    def __init__(self, primary_func: Callable[..., Any], fallback_func: Union[Callable[..., Any], None] = None,
                 recovery_params: dict = {}):
        self.primary_func = primary_func
        self.fallback_func = fallback_func
        self.recovery_params = recovery_params

    def execute(self) -> Any:
        """
        Executes the primary function and handles exceptions by trying to use the fallback function.
        :return: The result of the successfully executed function or None if both fail.
        """
        try:
            return self.primary_func()
        except Exception as e:
            print(f"Error occurred in primary function: {e}")
            if self.fallback_func is not None:
                try:
                    # Adjust parameters for fallback
                    adjusted_params = self._adjust_params(self.recovery_params)
                    return self.fallback_func(**adjusted_params)
                except Exception as fe:
                    print(f"Fallback function also failed with error: {fe}")
                    return None
            else:
                print("No fallback function available.")
                return None

    def _adjust_params(self, params: dict) -> dict:
        """
        Adjusts parameters for the fallback function if necessary.
        :param params: The original parameters.
        :return: Adjusted or unchanged parameters.
        """
        # Example adjustment logic
        adjusted = {**params}
        # Modify 'adjusted' as required based on your scenario
        return adjusted

# Example usage:
def main_function():
    result = 1 / 0  # Simulate error
    return result

def fallback_function(param):
    return param + " (fallback)"

executor = FallbackExecutor(main_function, fallback_func=fallback_function, recovery_params={"param": "example"})
print(executor.execute())
```