"""
Ontology Validation Module

This module provides validation capabilities for generated ontologies using
symbolic reasoners (HermiT, Pellet) and structural checks.

Key Features:
    - Consistency checking
    - Satisfiability checking
    - Constraint validation
    - Structural integrity validation
"""

from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass, field

from ..utils.logging import get_logger

@dataclass
class ValidationResult:
    """Result of an ontology validation operation."""
    valid: bool = True
    consistent: bool = True
    satisfiable: bool = True
    errors: List[str] = field(default_factory=list)
    warnings: List[str] = field(default_factory=list)

class OntologyValidator:
    """
    Validator for checking ontology consistency and validity.
    
    Supports symbolic reasoning and structural validation.
    """
    
    def __init__(self, 
                 reasoner: str = "hermit", 
                 check_consistency: bool = True, 
                 check_satisfiability: bool = True,
                 **kwargs):
        """
        Initialize the validator.
        
        Args:
            reasoner: Reasoner to use ('hermit', 'pellet', 'auto')
            check_consistency: Whether to check logical consistency
            check_satisfiability: Whether to check class satisfiability
            **kwargs: Additional configuration
        """
        self.logger = get_logger("ontology_validator")
        self.reasoner = reasoner
        self.check_consistency = check_consistency
        self.check_satisfiability = check_satisfiability
        self.config = kwargs

    def validate(self, ontology: Union[Dict[str, Any], str]) -> ValidationResult:
        """
        Validate an ontology structure or file.
        
        Args:
            ontology: Ontology dictionary or path to ontology file
            
        Returns:
            ValidationResult object
        """
        self.logger.info(f"Validating ontology using {self.reasoner} reasoner")
        
        result = ValidationResult()
        
        # Placeholder implementation for now
        # In a real implementation, this would load owlready2 or similar
        
        try:
            if isinstance(ontology, dict):
                self._validate_structure(ontology, result)
            
            # Simulate reasoning checks
            if self.check_consistency:
                # Logic to check consistency would go here
                pass
                
            if self.check_satisfiability:
                # Logic to check satisfiability would go here
                pass
                
        except Exception as e:
            self.logger.error(f"Validation failed: {str(e)}")
            result.valid = False
            result.errors.append(str(e))
            
        return result

    def _validate_structure(self, ontology: Dict[str, Any], result: ValidationResult):
        """Basic structural validation."""
        if "classes" not in ontology:
            result.warnings.append("Ontology has no classes defined")
            
        if "properties" not in ontology:
            result.warnings.append("Ontology has no properties defined")

    def check_constraint(self, constraint: str) -> bool:
        """
        Check if a specific constraint holds.
        
        Args:
            constraint: Constraint description or SPARQL query
            
        Returns:
            True if constraint is met, False otherwise
        """
        # Placeholder implementation
        return True

def validate_ontology(ontology: Union[Dict[str, Any], str], method: str = "default") -> Dict[str, Any]:
    """
    Convenience wrapper for ontology validation.
    
    Args:
        ontology: Ontology to validate
        method: Validation method
        
    Returns:
        Dictionary representation of validation result
    """
    validator = OntologyValidator()
    result = validator.validate(ontology)
    
    return {
        "valid": result.valid,
        "consistent": result.consistent,
        "satisfiable": result.satisfiable,
        "errors": result.errors,
        "warnings": result.warnings
    }
