"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-05 21:10:20.171737
"""

```python
from typing import Callable, Any, Optional


class FallbackExecutor:
    """
    A class for handling tasks that may fail by providing a fallback execution.

    Attributes:
        primary_func: The main function to execute.
        fallback_func: The function to use as fallback in case the primary_func fails.
        exception_types: Tuple of Exception types for which the fallback should be executed.

    Methods:
        execute: Executes the primary function or its fallback based on exceptions raised.
    """

    def __init__(self, primary_func: Callable[[], Any], fallback_func: Callable[[], Any],
                 exception_types: tuple[type[Exception], ...]):
        self.primary_func = primary_func
        self.fallback_func = fallback_func
        self.exception_types = exception_types

    def execute(self) -> Any:
        """
        Attempts to execute the primary function, and if it raises an exception of types in exception_types,
        executes the fallback function instead.

        :return: The result of the executed function.
        """
        try:
            return self.primary_func()
        except self.exception_types as e:
            print(f"Primary function failed with {type(e).__name__}. Executing fallback.")
            return self.fallback_func()


# Example usage
def fetch_data() -> Optional[str]:
    """Simulates fetching data that may fail."""
    if not data := get_real_data():
        raise ValueError("Failed to fetch real data")
    return data


def backup_data() -> Optional[str]:
    """Fetches data from a backup source, which is less reliable but still usable."""
    # Simulate network issue
    if not data := try_backup_source():
        raise ConnectionError("Backup source connection error")
    return data


# Hypothetical functions for the example
def get_real_data() -> Optional[str]:
    """Placeholder function to simulate real data fetching."""
    import random
    if random.random() < 0.5:
        return "Real Data"
    return None

def try_backup_source() -> Optional[str]:
    """Simulates a backup source that may also fail."""
    import random
    if random.random() < 0.2:
        return "Backup Data"
    return None


# Create the fallback executor with our example functions
executor = FallbackExecutor(fetch_data, backup_data, (ValueError, ConnectionError))

# Execute and print result
result = executor.execute()
print(f"Final data: {result}")
```

This code creates a `FallbackExecutor` class that handles tasks where you might want to provide an alternative execution path if the primary function fails. It includes example usage with simulated functions for fetching data from a reliable source (`fetch_data`) and a backup source (`backup_data`).