#!/usr/bin/env python3
"""
Module: axiom_gen.py
Description: This module generates axioms from learned data within the Genesis system.
             It analyzes patterns and compresses them into reusable axioms for reasoning and inference.
"""

import logging
import json
from typing import List, Dict, Any, Union

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# Define custom exception
class AxiomGenerationError(Exception):
    """Custom exception for axiom generation errors."""
    pass


class AxiomGenerator:
    """
    AxiomGenerator class for creating axioms from learned data.
    """

    def __init__(self, knowledge_base_path: str) -> None:
        """
        Initializes the AxiomGenerator with the path to the knowledge base.

        Args:
            knowledge_base_path (str): Path to the knowledge base (e.g., JSON file).
        """
        self.knowledge_base_path = knowledge_base_path
        self.knowledge_base: Dict[str, Any] = self._load_knowledge_base()

    def _load_knowledge_base(self) -> Dict[str, Any]:
        """
        Loads the knowledge base from the specified path.

        Returns:
            Dict[str, Any]: The loaded knowledge base as a dictionary.

        Raises:
            AxiomGenerationError: If the knowledge base fails to load or is invalid.
        """
        try:
            with open(self.knowledge_base_path, 'r') as f:
                knowledge_base = json.load(f)
            if not isinstance(knowledge_base, dict):
                raise AxiomGenerationError("Knowledge base is not a dictionary.")
            logging.info(f"Knowledge base loaded from {self.knowledge_base_path}")
            return knowledge_base
        except FileNotFoundError:
            logging.error(f"Knowledge base file not found: {self.knowledge_base_path}")
            raise AxiomGenerationError(f"Knowledge base file not found: {self.knowledge_base_path}")
        except json.JSONDecodeError as e:
            logging.error(f"Error decoding JSON in knowledge base: {e}")
            raise AxiomGenerationError(f"Error decoding JSON in knowledge base: {e}")
        except AxiomGenerationError as e:
            raise e # Re-raise custom exception after logging.
        except Exception as e:
            logging.error(f"Unexpected error loading knowledge base: {e}")
            raise AxiomGenerationError(f"Unexpected error loading knowledge base: {e}")


    def generate_axioms(self, data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
        """
        Generates axioms from the given data by identifying patterns and relationships.

        Args:
            data (List[Dict[str, Any]]): A list of dictionaries representing the data to analyze.

        Returns:
            List[Dict[str, Any]]: A list of dictionaries representing the generated axioms.

        Raises:
            AxiomGenerationError: If an error occurs during axiom generation.
        """
        try:
            if not isinstance(data, list):
                raise AxiomGenerationError("Input data must be a list.")

            axioms: List[Dict[str, Any]] = []
            # Example logic (simple pattern matching and axiom generation)
            for item in data:
                if "attribute1" in item and "attribute2" in item and item["attribute1"] == "value1":
                    axiom = {
                        "type": "rule",
                        "condition": {"attribute1": "value1"},
                        "conclusion": {"attribute2": item["attribute2"]}
                    }
                    axioms.append(axiom)

            logging.info(f"Generated {len(axioms)} axioms.")
            return axioms

        except AxiomGenerationError as e:
            logging.error(f"Error during axiom generation: {e}")
            raise  # Re-raise to propagate the error
        except Exception as e:
            logging.error(f"Unexpected error during axiom generation: {e}")
            raise AxiomGenerationError(f"Unexpected error during axiom generation: {e}")

    def save_axioms(self, axioms: List[Dict[str, Any]], output_path: str) -> None:
        """
        Saves the generated axioms to the specified output path.

        Args:
            axioms (List[Dict[str, Any]]): A list of dictionaries representing the axioms to save.
            output_path (str): The path to save the axioms to (e.g., JSON file).

        Raises:
            AxiomGenerationError: If an error occurs while saving the axioms.
        """
        try:
            with open(output_path, 'w') as f:
                json.dump(axioms, f, indent=4)
            logging.info(f"Axioms saved to {output_path}")
        except TypeError as e:
             logging.error(f"Type error during saving axioms: {e}")
             raise AxiomGenerationError(f"Type error during saving axioms: {e}")
        except OSError as e:
            logging.error(f"OS error during saving axioms: {e}")
            raise AxiomGenerationError(f"OS error during saving axioms: {e}")
        except Exception as e:
            logging.error(f"Unexpected error saving axioms: {e}")
            raise AxiomGenerationError(f"Unexpected error saving axioms: {e}")

def main():
    """
    Main function to demonstrate the AxiomGenerator.
    """
    try:
        # Example usage
        knowledge_base_path = "/mnt/e/genesis-system/core/knowledge/knowledge_base.json"  # Replace with your actual path
        output_path = "/mnt/e/genesis-system/core/knowledge/axioms.json"  # Replace with your desired output path

        # Create a dummy knowledge base file for testing
        with open(knowledge_base_path, 'w') as f:
            json.dump({"data": []}, f)

        generator = AxiomGenerator(knowledge_base_path)

        # Example data for axiom generation
        data = [
            {"attribute1": "value1", "attribute2": "valueA"},
            {"attribute1": "value2", "attribute2": "valueB"},
            {"attribute1": "value1", "attribute2": "valueC"}
        ]

        axioms = generator.generate_axioms(data)
        generator.save_axioms(axioms, output_path)

        logging.info("Axiom generation process completed successfully.")

    except AxiomGenerationError as e:
        logging.error(f"Axiom generation failed: {e}")
    except Exception as e:
        logging.error(f"An unexpected error occurred: {e}")

if __name__ == "__main__":
    main()