"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-07 15:51:11.405135
"""

```python
class FallbackExecutor:
    """
    A class that provides a mechanism for executing tasks with fallback options in case of errors.
    
    This class is particularly useful when dealing with unreliable external services or operations where you want to have a backup plan.

    :param primary_executor: Callable object representing the main task executor.
    :param fallback_executor: Callable object representing the fallback task executor.
    """

    def __init__(self, primary_executor: callable, fallback_executor: callable):
        self.primary_executor = primary_executor
        self.fallback_executor = fallback_executor

    def execute(self, *args, **kwargs) -> Any:
        """
        Execute the main task. If an error occurs during execution, try executing the fallback task.
        
        :param args: Positional arguments to pass to the executors.
        :param kwargs: Keyword arguments to pass to the executors.
        :return: The result of the primary or fallback executor, depending on success.
        """
        try:
            return self.primary_executor(*args, **kwargs)
        except Exception as e:
            print(f"Primary execution failed with error: {e}")
            try:
                return self.fallback_executor(*args, **kwargs)
            except Exception as fe:
                print(f"Fallback execution also failed with error: {fe}")
                raise

# Example usage
def main_task(data):
    """
    A simple example of a primary task that may fail.
    
    :param data: Input data for the main task.
    :return: Processed data or an error message.
    """
    import random
    if random.random() < 0.5:
        return f"Processed {data}"
    raise ValueError("Task failed!")

def fallback_task(data):
    """
    A simple example of a fallback task that always succeeds.
    
    :param data: Input data for the fallback task.
    :return: Always returns "Fallback executed!"
    """
    return "Fallback executed!"

# Create instances
main_exec = main_task
fallback_exec = fallback_task

# Use FallbackExecutor to handle errors gracefully
executor = FallbackExecutor(main_exec, fallback_exec)
result = executor.execute("sample data")
print(result)

# Alternatively, you can use the class directly without instantiation for a more concise approach
execute_with_fallback = FallbackExecutor(main_task, fallback_task)
execute_with_fallback("another sample")
```