"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 18:31:30.390266
"""

```python
from typing import List, Dict, Any


class RecoveryPlanner:
    """
    A class to handle limited error recovery in a system.

    Attributes:
        log_history: A list of logs containing steps and their outcomes.
        max_retries: The maximum number of retries allowed for each step.

    Methods:
        add_log_step: Adds a new step with its initial outcome to the log history.
        retry_failed_steps: Attempts to recover by re-executing failed steps.
        _get_last_log_entry: Returns the last log entry in the log_history list.
    """

    def __init__(self, max_retries: int = 3):
        self.log_history: List[Dict[str, Any]] = []
        self.max_retries: int = max_retries

    def add_log_step(self, step_name: str) -> None:
        """
        Adds a new log entry for the given step name with an initial outcome of 'PENDING'.

        Args:
            step_name: The name of the step to be added.
        """
        self.log_history.append({"step": step_name, "outcome": "PENDING"})

    def retry_failed_steps(self) -> int:
        """
        Attempts to recover by re-executing failed steps up to max_retries.

        Returns:
            The number of retries that were performed.
        """
        current_retry = 0
        while any(log["outcome"] == "FAILED" for log in self.log_history):
            if current_retry >= self.max_retries:
                break

            failed_steps = [log for log in self.log_history if log["outcome"] == "FAILED"]
            if not failed_steps:
                break

            current_log_entry = self._get_last_log_entry()
            print(f"Retrying step: {current_log_entry['step']} (Retry #{current_retry + 1})")
            # Simulate retry logic
            current_log_entry["outcome"] = "RETRY"
            current_retry += 1

        return current_retry

    def _get_last_log_entry(self) -> Dict[str, Any]:
        """
        Returns the last log entry in the log_history list.

        Returns:
            The last log entry as a dictionary.
        """
        return self.log_history[-1] if self.log_history else {"step": "", "outcome": ""}


# Example Usage
if __name__ == "__main__":
    planner = RecoveryPlanner(max_retries=2)
    planner.add_log_step("Step 1")
    planner.add_log_step("Step 2")

    # Simulate errors for demonstration purposes
    planner.log_history[0]["outcome"] = "FAILED"
    planner.log_history[1]["outcome"] = "PENDING"

    print(f"Initial log history: {planner.log_history}")
    retries_performed = planner.retry_failed_steps()
    print(f"Retries performed: {retries_performed}")
    print(f"Updated log history: {planner.log_history}")
```

This example demonstrates a simple recovery planner that logs steps and their outcomes, retries failed steps up to a specified limit, and updates the status accordingly.