# memory_skillizer.py

import logging
from typing import List, Dict, Any, Optional

from aeiva.cognition.memory.memory_unit import MemoryUnit
from aeiva.cognition.memory.memory_link import MemoryLink


class MemorySkillizerError(Exception):
    """Exception raised when an error occurs in the MemorySkillizer."""
    pass


class MemorySkillizer:
    """
    A class to skillize memory units based on various skillizing algorithms.

    Supported skill types:
        - 'skill_type_example': Placeholder for future skillizing algorithms.
    """

    def __init__(self):
        """
        Initializes the MemorySkillizer.

        Currently, no initialization parameters are required.
        """
        self.logger = logging.getLogger(self.__class__.__name__)
        self.logger.debug("Initialized MemorySkillizer without default parameters.")

    def skillize(
        self,
        memory_units: List[MemoryUnit],
        skill_type: str,
        **kwargs
    ) -> List[MemoryUnit]:
        """
        Skillizes the provided memory units based on the specified skill type.

        Args:
            memory_units (List[MemoryUnit]): The list of memory units to be skillized.
            skill_type (str): The type of skillizing algorithm to use ('skill_type_example').
            **kwargs: Additional parameters required for specific skillizers.

        Returns:
            List[MemoryUnit]: The list of memory units after skillizing.

        Raises:
            MemorySkillizerError: If an unknown skill_type is provided or if skillizing fails.
        """
        self.logger.debug(f"Skillizing memory units using skill_type='{skill_type}' with kwargs={kwargs}")
        try:
            if skill_type == 'skill_type_example':
                # Placeholder for actual skillizing logic
                return self.skillize_example(memory_units, **kwargs)
            else:
                self.logger.error(f"Unknown skill_type: {skill_type}")
                raise MemorySkillizerError(f"Unknown skill_type: {skill_type}")
        except MemorySkillizerError:
            # Re-raise custom errors without modification
            raise
        except Exception as e:
            self.logger.error(f"Failed to skillize memory units: {e}")
            raise MemorySkillizerError(f"Failed to skillize memory units: {e}")

    def skillize_example(
        self,
        memory_units: List[MemoryUnit],
        **kwargs
    ) -> List[MemoryUnit]:
        """
        Example skillizing method. Currently a placeholder that returns memory units unchanged.

        Args:
            memory_units (List[MemoryUnit]): The list of memory units to be skillized.
            **kwargs: Additional parameters (currently unused).

        Returns:
            List[MemoryUnit]: The original list of memory units, unchanged.
        """
        self.logger.debug("Executing skillize_example: No changes applied to memory units.")
        # Placeholder: No operation performed
        return memory_units

    # TODO: Implement additional skillizing methods as needed in the future