"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-06 02:50:29.314264
"""

```python
from typing import Callable, Any


class FallbackExecutor:
    """
    A class for executing functions with fallback strategies in case of errors.
    
    This implementation supports a primary execution function along with one or more fallback functions
    that will be attempted if the primary function raises an error. The fallbacks are tried sequentially,
    and once a successful execution is achieved, the result is returned.
    
    Example usage:
        def backup_function():  # A simple fallback function to return default values
            return {'result': 'default', 'status': 'backup'}
        
        def primary_function() -> dict[str, Any]:
            try:
                # Code that might raise an error
                data = complex_operation()
                if not data:
                    raise ValueError('No valid data returned')
                return data
            except Exception as e:
                print(f"Primary function failed: {str(e)}")
                fallback_executor(primary_function, backup_function)  # Attempt fallbacks

    :param primary_fn: The main function to execute.
    :param fallback_fns: A list of functions that can be used as fallbacks in case the primary function fails.
    """

    def __init__(self, primary_fn: Callable[[], Any], *fallback_fns: Callable[[], Any]):
        self.primary_fn = primary_fn
        self.fallback_fns = fallback_fns

    def execute(self) -> Any:
        for fn in [self.primary_fn] + list(self.fallback_fns):
            try:
                result = fn()
                if result is not None and 'status' in result and result['status'] == 'backup':
                    continue
                return result
            except Exception as e:
                print(f"Function {fn} failed: {str(e)}")
        raise RuntimeError("All functions failed")


def complex_operation() -> dict[str, Any]:
    # Simulated operation that may fail
    import random
    if random.random() < 0.5:
        return {'result': 'complex_data', 'status': 'primary'}
    else:
        raise ValueError('Complex operation failed')


# Example usage in a function
def primary_function() -> dict[str, Any]:
    try:
        data = complex_operation()
        if not data:
            raise ValueError('No valid data returned')
        return data
    except Exception as e:
        print(f"Primary function failed: {str(e)}")
        fallback_executor(primary_function, backup_function)


def backup_function() -> dict[str, Any]:
    return {'result': 'default', 'status': 'backup'}


# Execution
fallback_executor(primary_function)
```