"""
Pattern Compatibility Matrix for Hephaestus

Builds compatibility matrix for different Anvil patterns to identify
conflicts, synergies, and migration paths.
"""

from typing import Dict, List, Any, Optional, Tuple
from dataclasses import dataclass
from enum import Enum

from ..analyzers.legacy_pattern_detector import LegacyPattern, PatternCompatibility


class CompatibilityLevel(Enum):
    """Compatibility levels between patterns."""

    EXCELLENT = 0.9
    GOOD = 0.7
    MODERATE = 0.5
    POOR = 0.3
    INCOMPATIBLE = 0.1


class MigrationComplexity(Enum):
    """Migration complexity levels."""

    TRIVIAL = "trivial"
    SIMPLE = "simple"
    MODERATE = "moderate"
    COMPLEX = "complex"
    EXPERT = "expert"


@dataclass
class PatternConflict:
    """Represents a conflict between patterns."""

    pattern1: str
    pattern2: str
    conflict_type: str  # "breaking", "performance", "maintainability", "security"
    description: str
    severity: str  # "low", "medium", "high", "critical"
    resolution: Optional[str] = None


@dataclass
class PatternSynergy:
    """Represents a synergy between patterns."""

    pattern1: str
    pattern2: str
    synergy_type: str  # "performance", "maintainability", "feature", "migration"
    description: str
    benefit: str
    implementation_notes: Optional[str] = None


@dataclass
class MigrationPath:
    """Represents a migration path between patterns."""

    from_pattern: str
    to_pattern: str
    complexity: MigrationComplexity
    estimated_effort: str  # "hours", "days", "weeks"
    breaking_changes: List[str]
    prerequisites: List[str]
    steps: List[str]
    rollback_plan: Optional[str] = None


class PatternCompatibilityMatrix:
    """Builds and manages compatibility matrix for Anvil patterns."""

    def __init__(self):
        self._compatibility_rules = self._initialize_compatibility_rules()
        self._conflict_rules = self._initialize_conflict_rules()
        self._synergy_rules = self._initialize_synergy_rules()
        self._migration_paths = self._initialize_migration_paths()

        # Pattern categories for compatibility analysis
        self._pattern_categories = {
            "routing": [
                "anvil_extras_routing",
                "legacy_form_navigation",
                "official_routing",
            ],
            "ui_components": [
                "classic_components_only",
                "material_3_components",
                "mixed_components",
            ],
            "data_layer": ["raw_table_access", "anvil_extras_orm", "model_classes"],
            "state_management": [
                "manual_state_management",
                "reactive_patterns",
                "mixed_state",
            ],
            "layout": ["panel_based_layouts", "modern_layouts", "hybrid_layouts"],
            "theming": [
                "custom_theme_integration",
                "material_3_theme",
                "classic_theme",
            ],
        }

    def build_compatibility_matrix(
        self, detected_patterns: List[LegacyPattern]
    ) -> Dict[str, Any]:
        """
        Build comprehensive compatibility matrix for detected patterns.

        Args:
            detected_patterns: List of detected legacy patterns

        Returns:
            Comprehensive compatibility analysis
        """
        pattern_names = [p.name for p in detected_patterns]

        # Build pairwise compatibility
        compatibility_matrix = self._build_pairwise_matrix(pattern_names)

        # Identify conflicts
        conflicts = self._identify_conflicts(detected_patterns)

        # Identify synergies
        synergies = self._identify_synergies(detected_patterns)

        # Generate migration paths
        migration_paths = self._generate_migration_paths(detected_patterns)

        # Calculate overall compatibility score
        overall_score = self._calculate_overall_compatibility(compatibility_matrix)

        # Generate recommendations
        recommendations = self._generate_recommendations(
            detected_patterns, conflicts, synergies, overall_score
        )

        return {
            "pattern_names": pattern_names,
            "compatibility_matrix": compatibility_matrix,
            "conflicts": conflicts,
            "synergies": synergies,
            "migration_paths": migration_paths,
            "overall_compatibility_score": overall_score,
            "recommendations": recommendations,
            "compatibility_summary": self._generate_compatibility_summary(
                compatibility_matrix, conflicts, synergies
            ),
        }

    def check_pattern_combination(
        self, pattern1: str, pattern2: str
    ) -> PatternCompatibility:
        """Check compatibility between two specific patterns."""
        # Get base compatibility score
        base_score = self._get_base_compatibility_score(pattern1, pattern2)

        # Check for conflicts
        conflicts = self._get_pattern_conflicts(pattern1, pattern2)

        # Check for synergies
        synergies = self._get_pattern_synergies(pattern1, pattern2)

        # Adjust score based on conflicts and synergies
        adjusted_score = self._adjust_compatibility_score(
            base_score, conflicts, synergies
        )

        # Determine migration path
        migration_path = self._get_migration_path(pattern1, pattern2)

        return PatternCompatibility(
            pattern1=pattern1,
            pattern2=pattern2,
            compatibility_score=adjusted_score,
            conflicts=[c.description for c in conflicts],
            synergies=[s.description for s in synergies],
            migration_path=migration_path,
        )

    def get_migration_plan(
        self, current_patterns: List[str], target_patterns: List[str]
    ) -> Dict[str, Any]:
        """Generate comprehensive migration plan."""
        migration_plan = {
            "current_state": current_patterns,
            "target_state": target_patterns,
            "migration_phases": [],
            "total_complexity": MigrationComplexity.TRIVIAL,
            "estimated_timeline": "",
            "risks": [],
            "prerequisites": [],
            "rollback_strategy": "",
        }

        # Determine migration phases
        phases = self._plan_migration_phases(current_patterns, target_patterns)
        migration_plan["migration_phases"] = phases

        # Calculate total complexity
        total_complexity_score = 0
        for phase in phases:
            for step in phase.get("steps", []):
                complexity = step.get("complexity", MigrationComplexity.MODERATE)
                complexity_scores = {
                    MigrationComplexity.TRIVIAL: 1,
                    MigrationComplexity.SIMPLE: 2,
                    MigrationComplexity.MODERATE: 3,
                    MigrationComplexity.COMPLEX: 4,
                    MigrationComplexity.EXPERT: 5,
                }
                total_complexity_score += complexity_scores.get(complexity, 3)

        # Determine overall complexity
        if total_complexity_score <= 5:
            migration_plan["total_complexity"] = MigrationComplexity.SIMPLE
        elif total_complexity_score <= 10:
            migration_plan["total_complexity"] = MigrationComplexity.MODERATE
        elif total_complexity_score <= 20:
            migration_plan["total_complexity"] = MigrationComplexity.COMPLEX
        else:
            migration_plan["total_complexity"] = MigrationComplexity.EXPERT

        # Estimate timeline
        effort_days = (
            total_complexity_score * 2
        )  # Rough estimate: 2 days per complexity point
        if effort_days <= 5:
            migration_plan["estimated_timeline"] = f"{effort_days} days"
        elif effort_days <= 20:
            migration_plan["estimated_timeline"] = f"{effort_days // 5} weeks"
        else:
            migration_plan["estimated_timeline"] = f"{effort_days // 20} months"

        # Identify risks and prerequisites
        migration_plan["risks"] = self._identify_migration_risks(
            current_patterns, target_patterns
        )
        migration_plan["prerequisites"] = self._identify_migration_prerequisites(
            target_patterns
        )
        migration_plan["rollback_strategy"] = self._generate_rollback_strategy(
            current_patterns
        )

        return migration_plan

    def _initialize_compatibility_rules(self) -> Dict[Tuple[str, str], float]:
        """Initialize base compatibility rules between patterns."""
        return {
            # Routing compatibility
            ("anvil_extras_routing", "legacy_form_navigation"): 0.3,
            ("anvil_extras_routing", "official_routing"): 0.2,
            ("legacy_form_navigation", "official_routing"): 0.4,
            # Component compatibility
            ("classic_components_only", "material_3_components"): 0.6,
            ("classic_components_only", "mixed_components"): 0.8,
            ("material_3_components", "mixed_components"): 0.9,
            # Data layer compatibility
            ("raw_table_access", "anvil_extras_orm"): 0.4,
            ("raw_table_access", "model_classes"): 0.2,
            ("anvil_extras_orm", "model_classes"): 0.7,
            # State management compatibility
            ("manual_state_management", "reactive_patterns"): 0.5,
            ("manual_state_management", "mixed_state"): 0.7,
            ("reactive_patterns", "mixed_state"): 0.8,
            # Layout compatibility
            ("panel_based_layouts", "modern_layouts"): 0.6,
            ("panel_based_layouts", "hybrid_layouts"): 0.8,
            ("modern_layouts", "hybrid_layouts"): 0.9,
            # Theme compatibility
            ("custom_theme_integration", "material_3_theme"): 0.5,
            ("custom_theme_integration", "classic_theme"): 0.7,
            ("material_3_theme", "classic_theme"): 0.4,
        }

    def _initialize_conflict_rules(self) -> Dict[Tuple[str, str], List[str]]:
        """Initialize conflict rules between patterns."""
        return {
            ("anvil_extras_routing", "official_routing"): [
                "route_conflicts",
                "inconsistent_behavior",
                "maintenance_overhead",
            ],
            ("raw_table_access", "model_classes"): [
                "data_integrity_risk",
                "schema_conflicts",
                "migration_complexity",
            ],
            ("manual_state_management", "reactive_patterns"): [
                "state_inconsistency",
                "performance_issues",
                "debugging_difficulty",
            ],
            ("panel_based_layouts", "modern_layouts"): [
                "layout_conflicts",
                "responsive_design_issues",
                "component_hierarchy_problems",
            ],
            ("custom_theme_integration", "material_3_theme"): [
                "style_conflicts",
                "css_specificity_issues",
                "theme_inconsistency",
            ],
        }

    def _initialize_synergy_rules(self) -> Dict[Tuple[str, str], List[str]]:
        """Initialize synergy rules between patterns."""
        return {
            ("anvil_extras_routing", "legacy_form_navigation"): [
                "gradual_migration_path",
                "familiar_development_pattern",
            ],
            ("classic_components_only", "material_3_components"): [
                "progressive_enhancement",
                "design_system_consistency",
            ],
            ("anvil_extras_orm", "model_classes"): [
                "structured_data_approach",
                "easier_migration_path",
                "type_safety_benefits",
            ],
            ("manual_state_management", "reactive_patterns"): [
                "hybrid_state_approach",
                "gradual_reactive_adoption",
            ],
            ("panel_based_layouts", "modern_layouts"): [
                "layout_evolution_path",
                "responsive_design_improvements",
            ],
        }

    def _initialize_migration_paths(self) -> Dict[str, Dict[str, MigrationPath]]:
        """Initialize predefined migration paths."""
        return {
            "anvil_extras_routing": {
                "official_routing": MigrationPath(
                    from_pattern="anvil_extras_routing",
                    to_pattern="official_routing",
                    complexity=MigrationComplexity.MODERATE,
                    estimated_effort="days",
                    breaking_changes=["route_decorator_changes", "url_hash_handling"],
                    prerequisites=["backup_current_routing", "test_route_coverage"],
                    steps=[
                        "Install official routing dependency",
                        "Create route mapping table",
                        "Migrate route decorators",
                        "Update navigation calls",
                        "Test routing functionality",
                        "Remove anvil_extras.routing",
                    ],
                    rollback_plan="Restore original routing files and revert imports",
                ),
            },
            "raw_table_access": {
                "model_classes": MigrationPath(
                    from_pattern="raw_table_access",
                    to_pattern="model_classes",
                    complexity=MigrationComplexity.COMPLEX,
                    estimated_effort="weeks",
                    breaking_changes=[
                        "data_access_patterns",
                        "query_syntax",
                        "error_handling",
                    ],
                    prerequisites=["schema_analysis", "backup_data", "test_coverage"],
                    steps=[
                        "Analyze current data access patterns",
                        "Design model class schema",
                        "Create model class definitions",
                        "Implement data access layer",
                        "Migrate data operations",
                        "Update error handling",
                        "Test data integrity",
                        "Remove raw table access",
                    ],
                    rollback_plan="Restore original data access code and revert model classes",
                ),
            },
            "classic_components_only": {
                "material_3_components": MigrationPath(
                    from_pattern="classic_components_only",
                    to_pattern="material_3_components",
                    complexity=MigrationComplexity.MODERATE,
                    estimated_effort="days",
                    breaking_changes=[
                        "component_properties",
                        "styling_approach",
                        "event_handling",
                    ],
                    prerequisites=[
                        "theme_setup",
                        "component_inventory",
                        "design_system",
                    ],
                    steps=[
                        "Setup Material 3 theme",
                        "Create component mapping",
                        "Update component properties",
                        "Migrate styling to theme-based",
                        "Update event handlers",
                        "Test component functionality",
                        "Remove classic component dependencies",
                    ],
                    rollback_plan="Restore original component definitions and styling",
                ),
            },
        }

    def _build_pairwise_matrix(
        self, pattern_names: List[str]
    ) -> Dict[str, Dict[str, float]]:
        """Build pairwise compatibility matrix."""
        matrix = {}

        for i, pattern1 in enumerate(pattern_names):
            matrix[pattern1] = {}
            for j, pattern2 in enumerate(pattern_names):
                if i == j:
                    matrix[pattern1][pattern2] = 1.0  # Perfect compatibility with self
                else:
                    compatibility = self.check_pattern_combination(pattern1, pattern2)
                    matrix[pattern1][pattern2] = compatibility.compatibility_score

        return matrix

    def _identify_conflicts(
        self, detected_patterns: List[LegacyPattern]
    ) -> List[PatternConflict]:
        """Identify conflicts between detected patterns."""
        conflicts = []

        for i, pattern1 in enumerate(detected_patterns):
            for pattern2 in detected_patterns[i + 1 :]:
                pattern_conflicts = self._get_pattern_conflicts(
                    pattern1.name, pattern2.name
                )

                for conflict_info in pattern_conflicts:
                    conflict = PatternConflict(
                        pattern1=pattern1.name,
                        pattern2=pattern2.name,
                        conflict_type=conflict_info["type"],
                        description=conflict_info["description"],
                        severity=conflict_info["severity"],
                        resolution=conflict_info.get("resolution"),
                    )
                    conflicts.append(conflict)

        return conflicts

    def _identify_synergies(
        self, detected_patterns: List[LegacyPattern]
    ) -> List[PatternSynergy]:
        """Identify synergies between detected patterns."""
        synergies = []

        for i, pattern1 in enumerate(detected_patterns):
            for pattern2 in detected_patterns[i + 1 :]:
                pattern_synergies = self._get_pattern_synergies(
                    pattern1.name, pattern2.name
                )

                for synergy_info in pattern_synergies:
                    synergy = PatternSynergy(
                        pattern1=pattern1.name,
                        pattern2=pattern2.name,
                        synergy_type=synergy_info["type"],
                        description=synergy_info["description"],
                        benefit=synergy_info["benefit"],
                        implementation_notes=synergy_info.get("implementation_notes"),
                    )
                    synergies.append(synergy)

        return synergies

    def _generate_migration_paths(
        self, detected_patterns: List[LegacyPattern]
    ) -> List[MigrationPath]:
        """Generate migration paths for detected patterns."""
        migration_paths = []

        for pattern in detected_patterns:
            # Get available migration paths for this pattern
            pattern_migrations = self._migration_paths.get(pattern.name, {})

            for target_pattern, migration_path in pattern_migrations.items():
                migration_paths.append(migration_path)

        return migration_paths

    def _calculate_overall_compatibility(
        self, compatibility_matrix: Dict[str, Dict[str, float]]
    ) -> float:
        """Calculate overall compatibility score."""
        if not compatibility_matrix:
            return 1.0

        total_score = 0.0
        count = 0

        for pattern1, row in compatibility_matrix.items():
            for pattern2, score in row.items():
                if pattern1 != pattern2:  # Skip self-compatibility
                    total_score += score
                    count += 1

        return total_score / count if count > 0 else 1.0

    def _generate_recommendations(
        self,
        detected_patterns: List[LegacyPattern],
        conflicts: List[PatternConflict],
        synergies: List[PatternSynergy],
        overall_score: float,
    ) -> List[str]:
        """Generate recommendations based on compatibility analysis."""
        recommendations = []

        # Overall compatibility recommendations
        if overall_score >= 0.8:
            recommendations.append(
                "Patterns are highly compatible - consider incremental modernization"
            )
        elif overall_score >= 0.6:
            recommendations.append(
                "Patterns have moderate compatibility - plan careful migration"
            )
        else:
            recommendations.append(
                "Significant compatibility issues - comprehensive refactoring recommended"
            )

        # Conflict-based recommendations
        high_severity_conflicts = [
            c for c in conflicts if c.severity in ["high", "critical"]
        ]
        if high_severity_conflicts:
            recommendations.append(
                f"Address {len(high_severity_conflicts)} high-severity conflicts first"
            )

        # Synergy-based recommendations
        if synergies:
            recommendations.append(
                f"Leverage {len(synergies)} identified synergies for efficient migration"
            )

        # Pattern-specific recommendations
        routing_patterns = [p for p in detected_patterns if "routing" in p.category]
        if len(routing_patterns) > 1:
            recommendations.append("Consolidate routing systems to avoid conflicts")

        data_patterns = [p for p in detected_patterns if "data_layer" in p.category]
        if len(data_patterns) > 1:
            recommendations.append("Standardize data layer approach for consistency")

        return recommendations

    def _generate_compatibility_summary(
        self,
        compatibility_matrix: Dict[str, Dict[str, float]],
        conflicts: List[PatternConflict],
        synergies: List[PatternSynergy],
    ) -> Dict[str, Any]:
        """Generate compatibility summary statistics."""
        if not compatibility_matrix:
            return {"total_patterns": 0, "average_compatibility": 0.0}

        # Calculate statistics
        total_patterns = len(compatibility_matrix)
        total_comparisons = total_patterns * (total_patterns - 1)

        # Count compatibility levels
        excellent_count = 0
        good_count = 0
        moderate_count = 0
        poor_count = 0

        for pattern1, row in compatibility_matrix.items():
            for pattern2, score in row.items():
                if pattern1 != pattern2:
                    if score >= 0.9:
                        excellent_count += 1
                    elif score >= 0.7:
                        good_count += 1
                    elif score >= 0.5:
                        moderate_count += 1
                    else:
                        poor_count += 1

        return {
            "total_patterns": total_patterns,
            "total_comparisons": total_comparisons,
            "excellent_compatibility": excellent_count,
            "good_compatibility": good_count,
            "moderate_compatibility": moderate_count,
            "poor_compatibility": poor_count,
            "total_conflicts": len(conflicts),
            "total_synergies": len(synergies),
        }

    def _get_base_compatibility_score(self, pattern1: str, pattern2: str) -> float:
        """Get base compatibility score between two patterns."""
        # Check direct rule
        direct_score = self._compatibility_rules.get((pattern1, pattern2))
        if direct_score is not None:
            return direct_score

        # Check reverse rule
        reverse_score = self._compatibility_rules.get((pattern2, pattern1))
        if reverse_score is not None:
            return reverse_score

        # Check category compatibility
        category1 = self._get_pattern_category(pattern1)
        category2 = self._get_pattern_category(pattern2)

        if category1 == category2:
            return 0.6  # Same category, moderate compatibility
        else:
            return 0.8  # Different categories, good compatibility

    def _get_pattern_conflicts(
        self, pattern1: str, pattern2: str
    ) -> List[Dict[str, Any]]:
        """Get conflicts between two patterns."""
        conflicts = []

        # Check direct conflicts
        direct_conflicts = self._conflict_rules.get((pattern1, pattern2), [])
        reverse_conflicts = self._conflict_rules.get((pattern2, pattern1), [])

        all_conflicts = direct_conflicts + reverse_conflicts

        for conflict_type in all_conflicts:
            conflict_info = {
                "type": conflict_type,
                "description": self._get_conflict_description(conflict_type),
                "severity": self._get_conflict_severity(conflict_type),
                "resolution": self._get_conflict_resolution(conflict_type),
            }
            conflicts.append(conflict_info)

        return conflicts

    def _get_pattern_synergies(
        self, pattern1: str, pattern2: str
    ) -> List[Dict[str, Any]]:
        """Get synergies between two patterns."""
        synergies = []

        # Check direct synergies
        direct_synergies = self._synergy_rules.get((pattern1, pattern2), [])
        reverse_synergies = self._synergy_rules.get((pattern2, pattern1), [])

        all_synergies = direct_synergies + reverse_synergies

        for synergy_type in all_synergies:
            synergy_info = {
                "type": synergy_type,
                "description": self._get_synergy_description(synergy_type),
                "benefit": self._get_synergy_benefit(synergy_type),
                "implementation_notes": self._get_synergy_implementation_notes(
                    synergy_type
                ),
            }
            synergies.append(synergy_info)

        return synergies

    def _adjust_compatibility_score(
        self,
        base_score: float,
        conflicts: List[Dict[str, Any]],
        synergies: List[Dict[str, Any]],
    ) -> float:
        """Adjust compatibility score based on conflicts and synergies."""
        adjusted_score = base_score

        # Subtract for conflicts
        for conflict in conflicts:
            severity_penalty = {
                "low": 0.05,
                "medium": 0.1,
                "high": 0.2,
                "critical": 0.3,
            }
            penalty = severity_penalty.get(conflict["severity"], 0.1)
            adjusted_score -= penalty

        # Add for synergies
        for synergy in synergies:
            synergy_bonus = {
                "performance": 0.1,
                "maintainability": 0.1,
                "feature": 0.05,
                "migration": 0.15,
            }
            bonus = synergy_bonus.get(synergy["type"], 0.05)
            adjusted_score += bonus

        return max(0.0, min(1.0, adjusted_score))

    def _get_migration_path(self, pattern1: str, pattern2: str) -> Optional[str]:
        """Get migration path between two patterns."""
        pattern_migrations = self._migration_paths.get(pattern1, {})
        return pattern_migrations.get(pattern2)

    def _get_pattern_category(self, pattern_name: str) -> Optional[str]:
        """Get category for a pattern."""
        for category, patterns in self._pattern_categories.items():
            if pattern_name in patterns:
                return category
        return None

    def _get_conflict_description(self, conflict_type: str) -> str:
        """Get description for a conflict type."""
        descriptions = {
            "route_conflicts": "Conflicting routing systems may cause navigation issues",
            "inconsistent_behavior": "Inconsistent behavior between routing approaches",
            "maintenance_overhead": "Increased maintenance complexity",
            "data_integrity_risk": "Risk of data corruption during migration",
            "schema_conflicts": "Conflicting data schema definitions",
            "migration_complexity": "Complex migration process with high risk",
            "state_inconsistency": "Inconsistent state management across components",
            "performance_issues": "Performance degradation due to mixed patterns",
            "debugging_difficulty": "Difficult to debug with mixed state approaches",
            "layout_conflicts": "Conflicting layout systems causing display issues",
            "responsive_design_issues": "Responsive design problems with mixed layouts",
            "component_hierarchy_problems": "Component hierarchy conflicts",
            "style_conflicts": "Conflicting styling approaches",
            "css_specificity_issues": "CSS specificity conflicts",
            "theme_inconsistency": "Inconsistent theming across components",
        }
        return descriptions.get(conflict_type, "Unknown conflict type")

    def _get_conflict_severity(self, conflict_type: str) -> str:
        """Get severity level for a conflict type."""
        severity_map = {
            "route_conflicts": "high",
            "inconsistent_behavior": "medium",
            "maintenance_overhead": "medium",
            "data_integrity_risk": "critical",
            "schema_conflicts": "high",
            "migration_complexity": "medium",
            "state_inconsistency": "high",
            "performance_issues": "medium",
            "debugging_difficulty": "medium",
            "layout_conflicts": "high",
            "responsive_design_issues": "medium",
            "component_hierarchy_problems": "medium",
            "style_conflicts": "medium",
            "css_specificity_issues": "low",
            "theme_inconsistency": "medium",
        }
        return severity_map.get(conflict_type, "medium")

    def _get_conflict_resolution(self, conflict_type: str) -> Optional[str]:
        """Get resolution strategy for a conflict type."""
        resolutions = {
            "route_conflicts": "Choose one routing system and migrate all routes",
            "inconsistent_behavior": "Standardize on single routing approach",
            "maintenance_overhead": "Consolidate to reduce complexity",
            "data_integrity_risk": "Create comprehensive migration plan with backups",
            "schema_conflicts": "Resolve schema differences before migration",
            "migration_complexity": "Break into smaller, manageable steps",
            "state_inconsistency": "Adopt consistent state management pattern",
            "performance_issues": "Profile and optimize critical paths",
            "debugging_difficulty": "Implement consistent debugging tools",
            "layout_conflicts": "Standardize on single layout system",
            "responsive_design_issues": "Test across all device sizes",
            "component_hierarchy_problems": "Redesign component hierarchy",
            "style_conflicts": "Establish consistent styling approach",
            "css_specificity_issues": "Use CSS modules or styled-components",
            "theme_inconsistency": "Implement comprehensive theme system",
        }
        return resolutions.get(conflict_type)

    def _get_synergy_description(self, synergy_type: str) -> str:
        """Get description for a synergy type."""
        descriptions = {
            "gradual_migration_path": "Enables gradual migration from legacy to modern",
            "familiar_development_pattern": "Maintains familiar development patterns",
            "progressive_enhancement": "Allows progressive enhancement of UI",
            "design_system_consistency": "Promotes design system consistency",
            "structured_data_approach": "Provides structured approach to data management",
            "easier_migration_path": "Simplifies migration to modern patterns",
            "type_safety_benefits": "Provides type safety and better IDE support",
            "hybrid_state_approach": "Allows hybrid approach to state management",
            "gradual_reactive_adoption": "Enables gradual adoption of reactive patterns",
            "layout_evolution_path": "Provides path for layout evolution",
            "responsive_design_improvements": "Improves responsive design capabilities",
        }
        return descriptions.get(synergy_type, "Unknown synergy type")

    def _get_synergy_benefit(self, synergy_type: str) -> str:
        """Get benefit description for a synergy type."""
        benefits = {
            "gradual_migration_path": "Reduced risk and smoother transition",
            "familiar_development_pattern": "Faster developer adoption",
            "progressive_enhancement": "Better user experience during transition",
            "design_system_consistency": "Improved UI consistency and maintainability",
            "structured_data_approach": "Better data integrity and maintainability",
            "easier_migration_path": "Lower migration cost and complexity",
            "type_safety_benefits": "Fewer runtime errors and better tooling",
            "hybrid_state_approach": "Flexibility in state management approach",
            "gradual_reactive_adoption": "Gradual performance improvements",
            "layout_evolution_path": "Improved responsive design and performance",
            "responsive_design_improvements": "Better mobile user experience",
        }
        return benefits.get(synergy_type, "Unknown benefit")

    def _get_synergy_implementation_notes(self, synergy_type: str) -> Optional[str]:
        """Get implementation notes for a synergy type."""
        notes = {
            "gradual_migration_path": "Implement feature flags for gradual rollout",
            "progressive_enhancement": "Start with basic functionality and enhance",
            "structured_data_approach": "Use data validation and type checking",
            "hybrid_state_approach": "Isolate state management by component",
            "gradual_reactive_adoption": "Begin with non-critical components",
            "layout_evolution_path": "Test on mobile devices first",
        }
        return notes.get(synergy_type)

    def _plan_migration_phases(
        self, current_patterns: List[str], target_patterns: List[str]
    ) -> List[Dict[str, Any]]:
        """Plan migration phases from current to target state."""
        phases = []

        # Phase 1: Preparation
        phases.append(
            {
                "name": "Preparation",
                "description": "Prepare for migration",
                "steps": [
                    {
                        "name": "Backup current code",
                        "complexity": MigrationComplexity.SIMPLE,
                        "description": "Create comprehensive backup of current codebase",
                    },
                    {
                        "name": "Setup testing environment",
                        "complexity": MigrationComplexity.SIMPLE,
                        "description": "Create isolated testing environment",
                    },
                    {
                        "name": "Inventory current patterns",
                        "complexity": MigrationComplexity.MODERATE,
                        "description": "Document all current patterns and dependencies",
                    },
                ],
            }
        )

        # Phase 2: Pattern Migration
        for pattern in current_patterns:
            if pattern not in target_patterns:
                # Find migration path
                migration_paths = self._migration_paths.get(pattern, {})
                for target_pattern, migration_path in migration_paths.items():
                    if target_pattern in target_patterns:
                        phases.append(
                            {
                                "name": f"Migrate {pattern} to {target_pattern}",
                                "description": f"Replace {pattern} with {target_pattern}",
                                "steps": [
                                    {
                                        "name": step,
                                        "complexity": migration_path.complexity,
                                        "description": f"Execute: {step}",
                                    }
                                    for step in migration_path.steps
                                ],
                            }
                        )

        # Phase 3: Testing and Validation
        phases.append(
            {
                "name": "Testing and Validation",
                "description": "Test migration results",
                "steps": [
                    {
                        "name": "Unit testing",
                        "complexity": MigrationComplexity.MODERATE,
                        "description": "Run comprehensive unit tests",
                    },
                    {
                        "name": "Integration testing",
                        "complexity": MigrationComplexity.MODERATE,
                        "description": "Test integration between components",
                    },
                    {
                        "name": "User acceptance testing",
                        "complexity": MigrationComplexity.SIMPLE,
                        "description": "Validate with actual users",
                    },
                ],
            }
        )

        # Phase 4: Cleanup
        phases.append(
            {
                "name": "Cleanup",
                "description": "Clean up after migration",
                "steps": [
                    {
                        "name": "Remove legacy code",
                        "complexity": MigrationComplexity.SIMPLE,
                        "description": "Remove unused legacy code and dependencies",
                    },
                    {
                        "name": "Update documentation",
                        "complexity": MigrationComplexity.SIMPLE,
                        "description": "Update all documentation",
                    },
                ],
            }
        )

        return phases

    def _identify_migration_risks(
        self, current_patterns: List[str], target_patterns: List[str]
    ) -> List[str]:
        """Identify risks associated with migration."""
        risks = []

        # Check for high-complexity migrations
        for pattern in current_patterns:
            if pattern not in target_patterns:
                migration_paths = self._migration_paths.get(pattern, {})
                for target_pattern, migration_path in migration_paths.items():
                    if target_pattern in target_patterns:
                        if migration_path.complexity in [
                            MigrationComplexity.COMPLEX,
                            MigrationComplexity.EXPERT,
                        ]:
                            risks.append(
                                f"High complexity migration from {pattern} to {target_pattern}"
                            )

        # Check for breaking changes
        breaking_change_patterns = [
            "raw_table_access",
            "anvil_extras_routing",
            "panel_based_layouts",
        ]
        for pattern in current_patterns:
            if pattern in breaking_change_patterns and pattern not in target_patterns:
                risks.append(f"Breaking changes required for {pattern}")

        # Check for data loss risks
        if (
            "raw_table_access" in current_patterns
            and "model_classes" in target_patterns
        ):
            risks.append("Potential data loss during data layer migration")

        return risks

    def _identify_migration_prerequisites(
        self, target_patterns: List[str]
    ) -> List[str]:
        """Identify prerequisites for target patterns."""
        prerequisites = []

        if "model_classes" in target_patterns:
            prerequisites.extend(
                [
                    "Comprehensive data schema analysis",
                    "Data backup strategy",
                    "Data validation framework",
                ]
            )

        if "official_routing" in target_patterns:
            prerequisites.extend(
                [
                    "Route inventory and mapping",
                    "URL structure planning",
                    "Navigation component updates",
                ]
            )

        if "material_3_components" in target_patterns:
            prerequisites.extend(
                [
                    "Material 3 theme setup",
                    "Component mapping documentation",
                    "Design system guidelines",
                ]
            )

        if "reactive_patterns" in target_patterns:
            prerequisites.extend(
                [
                    "Reactive library installation",
                    "State management architecture design",
                    "Component refactoring plan",
                ]
            )

        return list(set(prerequisites))  # Remove duplicates

    def _generate_rollback_strategy(self, current_patterns: List[str]) -> str:
        """Generate rollback strategy for migration."""
        return f"""
        Rollback Strategy for Current Patterns:
        
        1. Version Control: Ensure all changes are committed to version control
        2. Backup: Maintain complete backup of current codebase
        3. Database: Create database backup before any data layer changes
        4. Configuration: Preserve all current configuration files
        5. Dependencies: Document current dependency versions
        6. Testing: Verify rollback procedure in staging environment
        
        Current patterns to preserve: {", ".join(current_patterns)}
        
        Rollback triggers:
        - Critical functionality failures
        - Performance degradation > 20%
        - Data integrity issues
        - User experience problems
        """
