"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 00:31:56.405150
"""

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


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    This planner helps in identifying potential errors based on input data and 
    provides recovery strategies to mitigate them.
    """

    def __init__(self, max_errors: int = 3):
        """
        Initialize the recovery planner with a maximum number of errors to handle.

        :param max_errors: The maximum number of errors this planner can recover from.
        """
        self.max_errors = max_errors
        self.error_history: List[Dict[str, Any]] = []

    def log_error(self, error_message: str) -> None:
        """
        Log an error message and add it to the error history.

        :param error_message: A string describing the error.
        """
        if len(self.error_history) < self.max_errors:
            self.error_history.append({"message": error_message})
        else:
            print("Error log full. Cannot add new errors.")

    def suggest_recoveries(self, data: List[Dict[str, Any]]) -> Dict[str, Any]:
        """
        Suggest recovery strategies for the input data based on previous logged errors.

        :param data: A list of dictionaries containing error information.
        :return: A dictionary with suggested recoveries.
        """
        recovery_strategies = {}
        for entry in self.error_history:
            if entry["message"] in [d.get("error_message") for d in data]:
                # Suggest recovery based on common errors
                if "missing_value" in entry["message"]:
                    recovery_strategies[entry["message"]] = {"strategy": "Impute missing values"}
                elif "invalid_format" in entry["message"]:
                    recovery_strategies[entry["message"]] = {"strategy": "Convert to correct format"}

        return recovery_strategies

    def __str__(self) -> str:
        """
        Return a string representation of the error history.
        """
        return "\n".join([f"{i['message']}" for i in self.error_history])


# Example usage
if __name__ == "__main__":
    planner = RecoveryPlanner(max_errors=2)
    
    # Simulate errors and log them
    planner.log_error("ValueError: missing value found")
    planner.log_error("TypeError: invalid data format")

    # Simulate some input data that might cause errors
    data = [
        {"error_message": "ValueError: missing value found"},
        {"error_message": "KeyError: unknown key in dictionary"},
        {"error_message": "invalid format detected"}
    ]

    # Suggest recoveries based on the error history and current data
    suggested_recoveries = planner.suggest_recoveries(data)
    
    print("Suggested Recoveries:")
    for msg, strategy in suggested_recoveries.items():
        print(f"Error: {msg} -> Strategy: {strategy['strategy']}")
```

This code defines a `RecoveryPlanner` class that can log errors and suggest recovery strategies based on previously logged error messages. It includes a simple example of how to use the planner with some simulated input data.