"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 13:24:44.339779
"""

```python
from typing import Any, Dict


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.

    This planner attempts to recover from errors by adjusting parameters within predefined bounds.
    It logs each adjustment attempt and returns the best solution found or an error message if no recovery is possible.
    """

    def __init__(self, max_attempts: int = 10):
        """
        Initialize the RecoveryPlanner with maximum number of recovery attempts.

        :param max_attempts: Maximum number of parameter adjustments before giving up
        """
        self.max_attempts = max_attempts
        self.best_solution = None
        self.recovery_log = []

    def plan_recovery(self, current_state: Dict[str, Any], bounds: Dict[str, tuple]) -> str:
        """
        Plan and attempt recovery from the given state.

        :param current_state: Current system state as a dictionary where keys are parameter names.
        :param bounds: Parameter bounds for adjustment as a dictionary with parameter names as keys and tuples of (min, max) values as values.
        :return: Message indicating success or failure
        """
        attempts = 0

        while attempts < self.max_attempts:
            # Generate random adjustments within the given bounds
            adjusted_state = {k: (bounds[k][0] + (bounds[k][1] - bounds[k][0]) * i / 9) for k in current_state}
            
            # Simulate a recovery process, here just logging the adjustment attempt
            self.recovery_log.append(adjusted_state)
            attempts += 1

        # Check if there was any successful recovery or not
        if len(self.recovery_log) > 0:
            self.best_solution = max(self.recovery_log, key=lambda x: sum(x.values()))
            return "Recovery plan implemented. Best solution found."
        else:
            return "No recovery possible. Original state remains unchanged."

# Example usage
recovery_plan = RecoveryPlanner()
current_state = {"temperature": 100, "pressure": 5}
bounds = {"temperature": (80, 120), "pressure": (4, 6)}
result = recovery_plan.plan_recovery(current_state, bounds)
print(result)

for log in recovery_plan.recovery_log:
    print(log)
```

This example demonstrates a simple limited error recovery planner that attempts to adjust parameters within specified bounds. The `plan_recovery` method logs each adjustment and returns the best solution found or indicates if no recovery is possible.