"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-08 13:33:05.679352
"""

```python
class FallbackExecutor:
    """
    A class for executing tasks with fallback mechanisms in case of errors.
    
    This implementation allows for specifying a primary function to execute,
    along with one or more fallback functions that are attempted if the primary
    function fails.

    Attributes:
        primary_function (Callable): The main function to try and execute.
        fallback_functions (List[Callable]): A list of functions to attempt in case the primary_function fails.
    
    Methods:
        execute: Attempts to execute the primary function. If it raises an exception, tries each fallback successively.
    """

    def __init__(self, primary_function: Callable, *fallback_functions: Callable):
        """
        Initialize FallbackExecutor with a primary and zero or more fallback functions.

        Args:
            primary_function (Callable): The main function to try and execute.
            *fallback_functions (Callable): Additional functions to attempt in case the primary fails.
        """
        self.primary_function = primary_function
        self.fallback_functions = list(fallback_functions)

    def execute(self) -> Any:
        """
        Execute the primary function. If it fails, try each fallback successively.

        Returns:
            The result of the first successful execution or None if all fail.
        
        Raises:
            Exception: If no fallbacks are defined and the primary_function fails.
        """
        try:
            return self.primary_function()
        except Exception as e:
            for func in self.fallback_functions:
                try:
                    return func()
                except Exception:
                    continue
            raise Exception("All functions failed") from e

# Example Usage
def divide_and_log(a: int, b: int) -> float:
    """
    Divide two numbers and log the operation.
    
    Args:
        a (int): The numerator.
        b (int): The denominator.

    Returns:
        float: The result of division.
    """
    import logging

    logging.basicConfig(level=logging.INFO)
    logging.info(f"Dividing {a} by {b}")
    return a / b

def divide_and_log_fallback(a: int, b: int) -> float:
    """Fallback function if the primary fails."""
    logging.warning("Primary division failed using fallback")
    import random
    return a / (b + 1)

fallback_executor = FallbackExecutor(
    primary_function=divide_and_log,
    fallback_functions=[divide_and_log_fallback]
)

# Running the example
result = fallback_executor.execute()
print(result)
```

This Python script defines a `FallbackExecutor` class that can be used to handle error recovery by attempting different functions in case the primary function fails. The example usage demonstrates how to use this class with a division operation and a fallback mechanism for handling potential errors.