"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-07 10:48:02.275343
"""

```python
class FallbackExecutor:
    """
    A class to handle execution tasks with a fallback mechanism in case of errors.
    
    This implementation aims to provide robust error recovery by attempting alternative methods 
    when an initial method fails, ensuring the program can continue running without interruption.
    
    Parameters:
        - primary_method (callable): The main function to execute. Must accept keyword arguments.
        - fallback_methods (list[Callable]): List of functions that serve as fallbacks in case of failure.
        
    Methods:
        - execute(task_args: dict) -> Any: Execute the primary method with given task_args or fall back if necessary.
    """
    
    def __init__(self, primary_method: callable, fallback_methods: list):
        self.primary_method = primary_method
        self.fallback_methods = fallback_methods
    
    def execute(self, task_args: dict) -> Any:
        """
        Execute the primary method with given task_args or fall back if necessary.
        
        Parameters:
            - task_args (dict): Keyword arguments to pass to the methods for execution.
            
        Returns:
            - The result of the successful method execution. If all fallbacks fail, returns None.
        """
        try:
            return self.primary_method(**task_args)
        except Exception as e:
            print(f"Primary method failed: {e}")
        
        for fallback in self.fallback_methods:
            try:
                return fallback(**task_args)
            except Exception as fe:
                print(f"Fallback method '{fallback.__name__}' failed: {fe}")
        
        print("All methods failed.")
        return None

# Example usage
def main_method(a, b):
    """A simple addition function."""
    return a + b

def fallback_method1(a, b):
    """Falling back to subtraction as an example of a simpler method."""
    return a - b

def fallback_method2(a, b):
    """Another possible fallback: multiplication."""
    return a * b

# Creating the FallbackExecutor instance
executor = FallbackExecutor(primary_method=main_method,
                            fallback_methods=[fallback_method1, fallback_method2])

# Test execution
result = executor.execute(task_args={"a": 5, "b": 3})
print(f"Result: {result}")
```

This code snippet provides a `FallbackExecutor` class that handles the execution of methods with an error recovery mechanism. It includes docstrings and type hints for clarity and ease of use. The example usage demonstrates how to set up such an executor with both a primary method and fallbacks, along with a simple test case.