"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-08 17:16:56.497112
"""

```python
from typing import Callable, Any


class FallbackExecutor:
    """
    A class for executing a function with fallbacks in case of errors.

    Args:
        primary_function: The main function to be executed.
        fallback_functions: A list of functions that will be tried sequentially if the primary function fails.
    """

    def __init__(self, primary_function: Callable, fallback_functions: list[Callable]):
        self.primary_function = primary_function
        self.fallback_functions = fallback_functions

    def execute(self) -> Any:
        """
        Execute the primary function and fall back to others in case of error.

        Returns:
            The result of the successfully executed function or None if all fail.
        """
        try:
            return self.primary_function()
        except Exception as e:
            for fallback in self.fallback_functions:
                try:
                    return fallback()
                except Exception:
                    continue
        return None


# Example usage
def main_task() -> str:
    """A function that simulates a task with potential errors."""
    if not check_environment():
        raise ValueError("Environment setup failed")
    return "Task completed successfully"


def fallback_task_1() -> str:
    """A simple backup task to handle some issues."""
    print("Executing fallback 1")
    return "Fallback 1 executed"


def fallback_task_2() -> str:
    """Another backup task with different handling logic."""
    print("Executing fallback 2")
    return "Fallback 2 executed"


# Create instances
primary = main_task
fallbacks = [fallback_task_1, fallback_task_2]

# Instantiate FallbackExecutor and execute
executor = FallbackExecutor(primary_function=primary, fallback_functions=fallbacks)
result = executor.execute()
print(result)


def check_environment() -> bool:
    """Simulate an environment check that might fail."""
    import random

    return not random.choice([True, False])
```