"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 10:27:03.322859
"""

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


class RecoveryPlanner:
    """
    A class designed to plan and execute limited error recovery procedures.

    Attributes:
        recovery_strategies (Dict[str, Callable]): A dictionary mapping error types to their corresponding recovery functions.
    """

    def __init__(self):
        self.recovery_strategies: Dict[str, Callable] = {
            "SyntaxError": self.handle_syntax_error,
            "ValueError": self.handle_value_error,
            "TypeError": self.handle_type_error
        }

    def register_recovery_strategy(self, error_type: str, strategy: Callable) -> None:
        """
        Register a new recovery strategy for an error type.

        Args:
            error_type (str): The type of the error to handle.
            strategy (Callable): The function that handles the error.

        Returns:
            None
        """
        self.recovery_strategies[error_type] = strategy

    def plan_recovery(self, error_info: Dict[str, Any]) -> str:
        """
        Plan and execute recovery based on the provided error information.

        Args:
            error_info (Dict[str, Any]): A dictionary containing the type of the error and any necessary context.

        Returns:
            str: A message indicating the outcome of the recovery plan.
        """
        error_type = error_info.get("error_type")
        if not self.recovery_strategies.get(error_type):
            return f"No recovery strategy for {error_type}"

        try:
            result = self.recovery_strategies[error_type](**error_info)
            return f"Recovery successful: {result}"
        except Exception as e:
            return f"Failed to recover from {error_type}: {str(e)}"

    def handle_syntax_error(self, error_info: Dict[str, Any]) -> str:
        """
        Handle syntax errors by providing a code snippet fix.

        Args:
            error_info (Dict[str, Any]): A dictionary containing the line number and the incorrect code.

        Returns:
            str: The fixed code snippet.
        """
        line_number = error_info.get("line_number")
        original_code = error_info.get("original_code")

        # Example: Fixing a syntax error by adding missing colon
        if "for" in original_code[line_number - 1] and ":" not in original_code[line_number]:
            fixed_code = f"{original_code[:line_number]}:{original_code[line_number:]}"
            return f"Fixed code at line {line_number}: {fixed_code}"

    def handle_value_error(self, error_info: Dict[str, Any]) -> str:
        """
        Handle value errors by providing a corrected input example.

        Args:
            error_info (Dict[str, Any]): A dictionary containing the invalid input and its context.

        Returns:
            str: The corrected input or an explanation of the issue.
        """
        invalid_input = error_info.get("invalid_input")
        if not isinstance(invalid_input, int) or invalid_input < 0:
            return f"Correct input must be a non-negative integer. Got {invalid_input}"

    def handle_type_error(self, error_info: Dict[str, Any]) -> str:
        """
        Handle type errors by casting the given value to the required type.

        Args:
            error_info (Dict[str, Any]): A dictionary containing the expected and actual types and their context.

        Returns:
            str: The casted value or an explanation of the issue.
        """
        expected_type = error_info.get("expected_type")
        actual_value = error_info.get("actual_value")

        if not isinstance(actual_value, int) and expected_type == "int":
            return f"Casted {actual_value} to type {expected_type}: {int(actual_value)}"

    def __call__(self, error_info: Dict[str, Any]) -> str:
        """
        Allow direct calling of the plan_recovery method.

        Args:
            error_info (Dict[str, Any]): A dictionary containing the details of the error to recover from.

        Returns:
            str: The outcome message.
        """
        return self.plan_recovery(error_info)


# Example Usage
if __name__ == "__main__":
    planner = RecoveryPlanner()
    
    # Simulate a SyntaxError with missing colon in a for loop
    syntax_error_info = {
        "line_number": 4,
        "original_code": [
            "for i in range(5):",
            "    print(i)",
            "print('Loop finished')",
            "for j in range(3) # Missing colon"
        ]
    }
    
    result = planner(syntax_error_info)
    print(result)

    # Simulate a ValueError with invalid input
    value_error_info = {
        "invalid_input": -10,
        "context": "Function expected non-negative integer"
    }
    
    result = planner(value_error_info)
    print(result)

    # Simulate a TypeError with incorrect data type conversion
    type_error_info = {
        "expected_type": "int",
        "actual_value": "2.5"
    }
    
    result = planner(type_error_info)
    print(result)
```

This code snippet defines a `RecoveryPlanner` class that can register and execute recovery strategies for specific types of errors, providing examples of how to handle syntax, value, and type errors. The example usage demonstrates how to use the class with different error scenarios.