"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-06 05:01:33.169286
"""

```python
from typing import Callable


class FallbackExecutor:
    """
    A class that provides a mechanism for executing functions with fallback strategies.
    
    Attributes:
        primary_func (Callable): The primary function to be executed.
        fallback_funcs (list[Callable]): List of fallback functions to try in case the primary function fails.

    Methods:
        execute: Tries to execute the primary function and, if it raises an exception, executes one of the fallbacks.
    """
    
    def __init__(self, primary_func: Callable, fallback_funcs: list[Callable]):
        self.primary_func = primary_func
        self.fallback_funcs = fallback_funcs
    
    def execute(self) -> None:
        """Executes the primary function or a fallback if an exception occurs."""
        try:
            result = self.primary_func()
            print(f"Primary function executed successfully. Result: {result}")
        except Exception as e:
            print(f"Error in primary function: {e}. Attempting fallbacks...")
            for fallback_func in self.fallback_funcs:
                try:
                    result = fallback_func()
                    print(f"Fallback function executed successfully. Result: {result}")
                    break
                except Exception as fe:
                    print(f"Error in fallback function: {fe}")


# Example usage

def divide_and_log(a: int, b: int) -> float:
    """Divides two numbers and logs the result."""
    return a / b


def safe_divide(a: int, b: int) -> float:
    """A safer version of division that catches division by zero."""
    if b == 0:
        print("Safe fallback function triggered due to division by zero.")
        return 0.0
    else:
        return a / b


# Main execution block

if __name__ == "__main__":
    # Define primary and fallback functions
    primary = divide_and_log
    fallbacks = [safe_divide]
    
    # Create an instance of FallbackExecutor and use it to execute the function with possible fallbacks
    executor = FallbackExecutor(primary, fallback_funcs=fallbacks)
    executor.execute()
```

This example demonstrates a simple error recovery mechanism. The `divide_and_log` function is intended to divide two numbers and log the result. However, if division by zero occurs (an intentional scenario for this demonstration), it raises an exception. The `safe_divide` function acts as a fallback that handles the error gracefully by logging a message and returning zero instead of raising an exception.