"""
Field Registry Manager for AI SBOM Generator
Combines registry loading, configuration generation, and field detection functionality
"""

import json
import os
import re
from typing import Dict, Any, Optional, List, Tuple
from functools import lru_cache

class FieldRegistryManager:
    """
    Field registry manager that handles:
    1. Registry loading and validation
    2. Configuration generation for utils.py compatibility
    3. Field detection and JSONPath parsing
    4. AIBOM completeness analysis
    5. Scoring calculations
    """
    
    def __init__(self, registry_path: Optional[str] = None):
        """
        Initialize the field registry manager
        
        Args:
            registry_path: Path to the field registry JSON file. If None, auto-detects.
        """
        if registry_path is None:
            # Auto-detect registry path relative to this file
            current_dir = os.path.dirname(os.path.abspath(__file__))
            registry_path = os.path.join(current_dir, "field_registry.json")
        
        self.registry_path = registry_path
        self.registry = self._load_registry()
        
        # Cache for performance
        self._field_classification = None
        self._completeness_profiles = None
        self._validation_messages = None
        self._scoring_weights = None
        
    def _load_registry(self) -> Dict[str, Any]:
        """Load the complete field registry from JSON file"""
        try:
            with open(self.registry_path, 'r', encoding='utf-8') as f:
                registry = json.load(f)
            
            # Validate basic structure
            required_sections = ["fields"]
            missing_sections = [section for section in required_sections if section not in registry]
            
            if missing_sections:
                raise ValueError(f"Registry missing required sections: {missing_sections}")
            
            # Validate fields structure
            fields = registry.get('fields', {})
            if not fields:
                raise ValueError("Registry 'fields' section is empty")
            
            print(f"✅ Field registry loaded: {len(fields)} fields from {self.registry_path}")
            return registry
            
        except FileNotFoundError:
            raise FileNotFoundError(f"Field registry not found at: {self.registry_path}")
        except json.JSONDecodeError as e:
            raise ValueError(f"Invalid JSON in field registry: {e}")
        except Exception as e:
            raise Exception(f"Failed to load field registry: {e}")
    
    # =============================================================================
    # CONFIGURATION GENERATION
    # =============================================================================
    
    @lru_cache(maxsize=1)
    def get_scoring_config(self) -> Dict[str, Any]:
        """Get scoring configuration from registry"""
        return self.registry.get('scoring_config', {})
    
    @lru_cache(maxsize=1)
    def get_aibom_config(self) -> Dict[str, Any]:
        """Get AIBOM generation configuration from registry"""
        return self.registry.get('aibom_config', {})
    
    @lru_cache(maxsize=1)
    def get_field_definitions(self) -> Dict[str, Any]:
        """Get all field definitions from registry"""
        return self.registry.get('fields', {})
    
    def generate_field_classification(self) -> Dict[str, Any]:
        """
        Generate FIELD_CLASSIFICATION dictionary from registry
        """
        if self._field_classification is not None:
            return self._field_classification
            
        fields = self.get_field_definitions()
        classification = {}
        
        for field_name, field_config in fields.items():
            classification[field_name] = {
                "tier": field_config.get("tier", "supplementary"),
                "weight": field_config.get("weight", 1),
                "category": field_config.get("category", "unknown")
            }
        
        self._field_classification = classification
        return classification
    
    def generate_completeness_profiles(self) -> Dict[str, Any]:
        """
        Generate COMPLETENESS_PROFILES dictionary from registry
        """
        if self._completeness_profiles is not None:
            return self._completeness_profiles
            
        scoring_config = self.get_scoring_config()
        profiles = scoring_config.get("scoring_profiles", {})
        
        # Convert to utils.py format
        completeness_profiles = {}
        for profile_name, profile_config in profiles.items():
            completeness_profiles[profile_name] = {
                "description": profile_config.get("description", f"{profile_name.title()} completeness profile"),
                "required_fields": profile_config.get("required_fields", []),
                "minimum_score": profile_config.get("minimum_score", 50)
            }
        
        # Fallback profiles if none defined in registry
        if not completeness_profiles:
            completeness_profiles = {
                "basic": {
                    "description": "Minimal fields required for identification",
                    "required_fields": ["bomFormat", "specVersion", "serialNumber", "version", "name"],
                    "minimum_score": 40
                },
                "standard": {
                    "description": "Comprehensive fields for proper documentation",
                    "required_fields": ["bomFormat", "specVersion", "serialNumber", "version", "name", 
                                       "downloadLocation", "primaryPurpose", "suppliedBy"],
                    "minimum_score": 70
                },
                "advanced": {
                    "description": "Extensive documentation for maximum transparency",
                    "required_fields": ["bomFormat", "specVersion", "serialNumber", "version", "name", 
                                       "downloadLocation", "primaryPurpose", "suppliedBy",
                                       "type", "purl", "description", "licenses", "hyperparameter", "limitation", 
                                       "energyConsumption", "safetyRiskAssessment", "typeOfModel"],
                    "minimum_score": 85
                }
            }
        
        self._completeness_profiles = completeness_profiles
        return completeness_profiles
    
    def generate_validation_messages(self) -> Dict[str, Any]:
        """
        Generate VALIDATION_MESSAGES dictionary from registry
        """
        if self._validation_messages is not None:
            return self._validation_messages
            
        fields = self.get_field_definitions()
        validation_messages = {}
        
        for field_name, field_config in fields.items():
            validation_msg = field_config.get("validation_message", {})
            if validation_msg:
                validation_messages[field_name] = {
                    "missing": validation_msg.get("missing", f"Missing field: {field_name}"),
                    "recommendation": validation_msg.get("recommendation", f"Consider adding {field_name} field")
                }
        
        self._validation_messages = validation_messages
        return validation_messages
    
    def get_configurable_scoring_weights(self) -> Dict[str, Any]:
        """Get configurable scoring weights from registry"""
        if self._scoring_weights is not None:
            return self._scoring_weights
            
        scoring_config = self.get_scoring_config()
        
        weights = {
            "tier_weights": scoring_config.get("tier_weights", {
                "critical": 3,
                "important": 2,
                "supplementary": 1
            }),
            "category_weights": scoring_config.get("category_weights", {
                "required_fields": 20,
                "metadata": 20,
                "component_basic": 20,
                "component_model_card": 30,
                "external_references": 10
            }),
            "algorithm_config": scoring_config.get("algorithm_config", {
                "type": "weighted_sum",
                "max_score": 100,
                "normalization": "category_based"
            })
        }
        
        self._scoring_weights = weights
        return weights
    
    # =============================================================================
    # FIELD DETECTION
    # =============================================================================
    
    def _get_nested_value(self, data: dict, path: str) -> Tuple[bool, Any]:
        """
        Get value from nested dictionary using dot notation and array filters
        Supports paths like: $.components[0].name, $.metadata.properties[?(@.name=='primaryPurpose')].value
        """
        try:
            # Remove leading $. if present
            if path.startswith('$.'):
                path = path[2:]
            
            # Handle special JSONPath-like syntax for property arrays
            if '[?(@.name==' in path:
                return self._handle_property_array_path(data, path)
            
            # Split path and traverse
            parts = self._split_path(path)
            current = data
            
            for part in parts:
                if '[' in part and ']' in part:
                    # Handle array access like components[0]
                    key, index_str = part.split('[')
                    index = int(index_str.rstrip(']'))
                    
                    if key and key in current:
                        current = current[key]
                    
                    if isinstance(current, list) and 0 <= index < len(current):
                        current = current[index]
                    else:
                        return False, None
                else:
                    # Regular key access
                    if isinstance(current, dict) and part in current:
                        current = current[part]
                    else:
                        return False, None
            
            # Check if value is meaningful
            if current is not None and current != "" and current != []:
                return True, current
            
            return False, None
            
        except Exception as e:
            print(f"Error getting value at path {path}: {e}")
            return False, None
    
    def _handle_property_array_path(self, data: dict, path: str) -> Tuple[bool, Any]:
        """
        Handle JSONPath-like syntax for property arrays
        Example: metadata.properties[?(@.name=='primaryPurpose')].value
        """
        try:
            # Extract the base path, property name, and final key
            match = re.match(r'(.+)\.properties\[\?\(@\.name==\'(.+)\'\)\]\.(.+)', path)
            if not match:
                return False, None
            
            base_path, prop_name, final_key = match.groups()
            
            # Get to the properties array
            base_found, base_value = self._get_nested_value(data, base_path + '.properties')
            if not base_found or not isinstance(base_value, list):
                return False, None
            
            # Find the property with matching name
            for prop in base_value:
                if isinstance(prop, dict) and prop.get('name') == prop_name:
                    if final_key in prop:
                        value = prop[final_key]
                        if value is not None and value != "" and value != []:
                            return True, value
            
            return False, None
            
        except Exception as e:
            print(f"Error handling property array path {path}: {e}")
            return False, None
    
    def _split_path(self, path: str) -> List[str]:
        """Split path into parts, handling array notation"""
        parts = []
        current_part = ""
        in_brackets = False
        
        for char in path:
            if char == '[':
                in_brackets = True
                current_part += char
            elif char == ']':
                in_brackets = False
                current_part += char
            elif char == '.' and not in_brackets:
                if current_part:
                    parts.append(current_part)
                current_part = ""
            else:
                current_part += char
        
        if current_part:
            parts.append(current_part)
        
        return parts
    
    def detect_field_presence(self, aibom: dict, field_path: str) -> Tuple[bool, Any]:
        """
        Detect if a field exists at the given path in the AIBOM
        Returns: (field_exists, field_value)
        """
        return self._get_nested_value(aibom, field_path)
    
    def analyze_aibom_completeness(self, aibom: dict) -> Dict[str, Any]:
        """
        Analyze AIBOM completeness against the enhanced field registry
        Compatible with enhanced registry structure: registry['fields'][field_name]
        """
        results = {
            'category_scores': {},
            'total_score': 0,
            'field_details': {},
            'summary': {}
        }
        
        # Get fields from enhanced registry structure
        fields = self.get_field_definitions()
        if not fields:
            print("❌ No fields found in registry")
            return results
        
        # Get scoring configuration
        scoring_weights = self.get_configurable_scoring_weights()
        category_weights = scoring_weights.get('category_weights', {})
        
        # Group fields by category
        categories = {}
        for field_name, field_config in fields.items():
            category = field_config.get('category', 'unknown')
            if category not in categories:
                categories[category] = []
            categories[category].append((field_name, field_config))
        
        print(f"🔍 Analyzing {len(fields)} fields across {len(categories)} categories")
        
        total_weighted_score = 0
        
        for category_name, category_fields in categories.items():
            category_weight = category_weights.get(category_name, 20)
            
            present_fields = 0
            total_fields = len(category_fields)
            field_details = {}
            
            print(f"\n📂 Category: {category_name} (weight: {category_weight})")
            
            for field_name, field_config in category_fields:
                field_path = field_config.get('jsonpath', '')
                tier = field_config.get('tier', 'supplementary')
                weight = field_config.get('weight', 1)
                
                if not field_path:
                    print(f"⚠️  Field {field_name} has no jsonpath defined")
                    field_details[field_name] = {
                        'present': False,
                        'value': None,
                        'path': field_path,
                        'tier': tier,
                        'weight': weight,
                        'error': 'No jsonpath defined'
                    }
                    continue
                
                is_present, value = self.detect_field_presence(aibom, field_path)
                
                field_details[field_name] = {
                    'present': is_present,
                    'value': value,
                    'path': field_path,
                    'tier': tier,
                    'weight': weight
                }
                
                if is_present:
                    present_fields += 1
                    print(f"✅ FOUND: {field_name} = {value} (tier: {tier}, weight: {weight})")
                else:
                    print(f"❌ MISSING: {field_name} at {field_path} (tier: {tier})")
            
            # Calculate category score
            category_percentage = (present_fields / total_fields) * 100 if total_fields > 0 else 0
            category_score = (category_percentage / 100) * category_weight
            
            results['category_scores'][category_name] = category_score
            results['field_details'][category_name] = field_details
            results['summary'][category_name] = {
                'present': present_fields,
                'total': total_fields,
                'percentage': category_percentage,
                'weight': category_weight
            }
            
            total_weighted_score += category_score
            
            print(f"📊 {category_name}: {present_fields}/{total_fields} ({category_percentage:.1f}%) × {category_weight} = {category_score:.1f} pts")
        
        results['total_score'] = total_weighted_score
        
        print(f"\n🎯 TOTAL SCORE: {total_weighted_score:.1f}")
        
        return results
    
    # =============================================================================
    # UTILITY METHODS
    # =============================================================================
    
    def get_field_info(self, field_name: str) -> Optional[Dict[str, Any]]:
        """Get complete information for a specific field"""
        fields = self.get_field_definitions()
        return fields.get(field_name)
    
    def get_field_jsonpath(self, field_name: str) -> Optional[str]:
        """Get JSONPath expression for a specific field"""
        field_info = self.get_field_info(field_name)
        return field_info.get("jsonpath") if field_info else None
    
    def get_fields_by_category(self, category: str) -> List[str]:
        """Get all field names in a specific category"""
        fields = self.get_field_definitions()
        return [
            field_name for field_name, field_config in fields.items()
            if field_config.get("category") == category
        ]
    
    def get_fields_by_tier(self, tier: str) -> List[str]:
        """Get all field names in a specific tier"""
        fields = self.get_field_definitions()
        return [
            field_name for field_name, field_config in fields.items()
            if field_config.get("tier") == tier
        ]
    
    def validate_registry_integrity(self) -> Dict[str, Any]:
        """Validate the integrity of the loaded registry"""
        validation_results = {
            "valid": True,
            "errors": [],
            "warnings": [],
            "field_count": 0,
            "category_distribution": {},
            "tier_distribution": {}
        }
        
        try:
            fields = self.get_field_definitions()
            validation_results["field_count"] = len(fields)
            
            # Check category and tier distribution
            categories = {}
            tiers = {}
            
            for field_name, field_config in fields.items():
                # Check required field properties
                required_props = ["tier", "weight", "category", "jsonpath"]
                missing_props = [prop for prop in required_props if prop not in field_config]
                
                if missing_props:
                    validation_results["errors"].append(
                        f"Field '{field_name}' missing properties: {missing_props}"
                    )
                    validation_results["valid"] = False
                
                # Count categories and tiers
                category = field_config.get("category", "unknown")
                tier = field_config.get("tier", "unknown")
                
                categories[category] = categories.get(category, 0) + 1
                tiers[tier] = tiers.get(tier, 0) + 1
            
            validation_results["category_distribution"] = categories
            validation_results["tier_distribution"] = tiers
            
            # Check scoring configuration
            scoring_config = self.get_scoring_config()
            if not scoring_config.get("tier_weights"):
                validation_results["warnings"].append("Missing tier_weights in scoring_config")
            
            if not scoring_config.get("category_weights"):
                validation_results["warnings"].append("Missing category_weights in scoring_config")
            
        except Exception as e:
            validation_results["valid"] = False
            validation_results["errors"].append(f"Registry validation error: {e}")
        
        return validation_results


# =============================================================================
# GLOBAL INSTANCE AND CONVENIENCE FUNCTIONS
# =============================================================================

# Global registry manager instance (initialized on first import)
_registry_manager = None

def get_field_registry_manager() -> FieldRegistryManager:
    """Get the global field registry manager instance (singleton pattern)"""
    global _registry_manager
    if _registry_manager is None:
        _registry_manager = FieldRegistryManager()
    return _registry_manager

# Convenience functions for backward compatibility with existing code

def load_field_registry() -> Dict[str, Any]:
    """Load the complete field registry (convenience function)"""
    manager = get_field_registry_manager()
    return manager.registry

def generate_field_classification() -> Dict[str, Any]:
    """Generate FIELD_CLASSIFICATION from registry (convenience function)"""
    manager = get_field_registry_manager()
    return manager.generate_field_classification()

def generate_completeness_profiles() -> Dict[str, Any]:
    """Generate COMPLETENESS_PROFILES from registry (convenience function)"""
    manager = get_field_registry_manager()
    return manager.generate_completeness_profiles()

def generate_validation_messages() -> Dict[str, Any]:
    """Generate VALIDATION_MESSAGES from registry (convenience function)"""
    manager = get_field_registry_manager()
    return manager.generate_validation_messages()

def get_configurable_scoring_weights() -> Dict[str, Any]:
    """Get configurable scoring weights from registry"""
    manager = get_field_registry_manager()
    return manager.get_configurable_scoring_weights()

# For compatibility with old DynamicFieldDetector usage
class DynamicFieldDetector:
    """Compatibility wrapper for old DynamicFieldDetector usage"""
    
    def __init__(self, registry_path: str):
        """Initialize with field registry manager"""
        self.manager = FieldRegistryManager(registry_path)
        self.registry = self.manager.registry
    
    def detect_field_presence(self, aibom: dict, field_path: str) -> Tuple[bool, Any]:
        """Detect field presence using the manager"""
        return self.manager.detect_field_presence(aibom, field_path)
    
    def analyze_aibom_completeness(self, aibom: dict) -> Dict[str, Any]:
        """Analyze AIBOM completeness using the manager"""
        return self.manager.analyze_aibom_completeness(aibom)

# Validation function for testing
def validate_registry_setup() -> bool:
    """Validate that the registry is properly set up and accessible"""
    try:
        manager = get_field_registry_manager()
        validation_results = manager.validate_registry_integrity()
        
        if validation_results["valid"]:
            print(f"✅ Registry validation successful")
            print(f"   Fields loaded: {validation_results['field_count']}")
            print(f"   Categories: {list(validation_results['category_distribution'].keys())}")
            print(f"   Tiers: {list(validation_results['tier_distribution'].keys())}")
            return True
        else:
            print(f"❌ Registry validation failed")
            for error in validation_results["errors"]:
                print(f"   Error: {error}")
            return False
            
    except Exception as e:
        print(f"❌ Registry setup validation failed: {e}")
        return False

def test_field_registry_manager():
    """
    This function is temporary (or optional later on).
    It serves the purpose of validating the field registry manager after refactoring 
    such as replacing old files or methods within for field detection and score calculations
    and comes handy as a debugging tool.
    """
    try:
        print("🧪 Testing Consolidated Field Registry Manager...")
        
        # Test manager initialization
        manager = get_field_registry_manager()
        print(f"✅ Manager initialized with registry: {manager.registry_path}")
        
        # Test configuration generation
        field_classification = manager.generate_field_classification()
        print(f"✅ Generated FIELD_CLASSIFICATION with {len(field_classification)} fields")
        
        completeness_profiles = manager.generate_completeness_profiles()
        print(f"✅ Generated COMPLETENESS_PROFILES with {len(completeness_profiles)} profiles")
        
        validation_messages = manager.generate_validation_messages()
        print(f"✅ Generated VALIDATION_MESSAGES with {len(validation_messages)} messages")
        
        scoring_weights = manager.get_configurable_scoring_weights()
        print(f"✅ Generated SCORING_WEIGHTS with {len(scoring_weights)} sections")
        
        # Test field detection capabilities
        test_fields = ['bomFormat', 'primaryPurpose', 'energyConsumption']
        for field_name in test_fields:
            field_info = manager.get_field_info(field_name)
            if field_info:
                jsonpath = field_info.get('jsonpath', 'N/A')
                category = field_info.get('category', 'N/A')
                tier = field_info.get('tier', 'N/A')
                print(f"✅ Field '{field_name}': {jsonpath} (category: {category}, tier: {tier})")
            else:
                print(f"❌ Field '{field_name}' not found in registry")
        
        # Test registry validation
        validation_results = manager.validate_registry_integrity()
        if validation_results["valid"]:
            print("✅ Registry integrity validation passed")
        else:
            print("⚠️  Registry integrity validation issues found")
            for error in validation_results["errors"]:
                print(f"   Error: {error}")
        
        print("🎉 Consolidated field registry manager test completed successfully!")
        return True
        
    except Exception as e:
        print(f"❌ Field registry manager test failed: {e}")
        import traceback
        traceback.print_exc()
        return False

if __name__ == "__main__":
    # Test the consolidated manager when run directly
    test_field_registry_manager()