"""
Advanced AST Refactoring Patterns and Recommendations.

[20251221_FEATURE] v3.0.0+ - Refactoring pattern detection and suggestions

This module provides advanced code refactoring pattern detection and recommendations,
identifying opportunities for code improvement and modernization.

Key features:
- Detect refactoring opportunities (extract method, extract class, etc.)
- Identify code smells and anti-patterns
- Suggest design pattern implementations
- Support automated refactoring suggestions
- Track refactoring impact and metrics

Example:
    >>> from code_scalpel.ast_tools.ast_refactoring import RefactoringAnalyzer
    >>> analyzer = RefactoringAnalyzer()
    >>> opportunities = analyzer.analyze("src/module.py")
    >>> for opp in opportunities:
    ...     print(f"{opp.name}: {opp.description}")
"""

import ast
import logging
from dataclasses import dataclass, field
from enum import Enum
from typing import Any

logger = logging.getLogger(__name__)


class RefactoringType(Enum):
    """Types of refactoring opportunities."""

    EXTRACT_METHOD = "extract_method"
    EXTRACT_CLASS = "extract_class"
    EXTRACT_INTERFACE = "extract_interface"
    CONSOLIDATE_DUPLICATE_CODE = "consolidate_duplicate_code"
    MOVE_METHOD = "move_method"
    MOVE_FIELD = "move_field"
    INLINE_METHOD = "inline_method"
    INLINE_VARIABLE = "inline_variable"
    RENAME = "rename"
    REPLACE_TEMP_WITH_QUERY = "replace_temp_with_query"
    REPLACE_METHOD_WITH_OBJECT = "replace_method_with_object"
    DECOMPOSE_CONDITIONAL = "decompose_conditional"
    SIMPLIFY_LOGIC = "simplify_logic"
    MODERNIZE_SYNTAX = "modernize_syntax"


class CodeSmellType(Enum):
    """Types of code smells."""

    GOD_CLASS = "god_class"
    GOD_FUNCTION = "god_function"
    FEATURE_ENVY = "feature_envy"
    DATA_CLUMP = "data_clump"
    PRIMITIVE_OBSESSION = "primitive_obsession"
    LONG_PARAMETER_LIST = "long_parameter_list"
    NESTED_CONDITIONALS = "nested_conditionals"
    SWITCH_STATEMENT = "switch_statement"
    DUPLICATE_CODE = "duplicate_code"
    DEAD_CODE = "dead_code"


@dataclass
class RefactoringOpportunity:
    """A refactoring opportunity."""

    name: str
    type: RefactoringType
    description: str
    location: tuple[int, int]  # (start_line, end_line)
    effort: str  # "easy", "medium", "hard"
    impact: str  # "low", "medium", "high"
    affected_symbols: list[str] = field(default_factory=list)
    suggested_actions: list[str] = field(default_factory=list)
    risks: list[str] = field(default_factory=list)


@dataclass
class CodeSmell:
    """A code smell detected in the code."""

    type: CodeSmellType
    severity: str  # "info", "warning", "error"
    location: tuple[int, int]  # (start_line, end_line)
    description: str
    affected_symbols: list[str] = field(default_factory=list)
    suggested_refactorings: list[RefactoringType] = field(default_factory=list)


class RefactoringAnalyzer:
    """Analyzes code for refactoring opportunities and code smells."""

    def __init__(self):
        self.opportunities: list[RefactoringOpportunity] = []
        self.code_smells: list[CodeSmell] = []

    def analyze(self, file_path: str) -> dict[str, list]:
        """Analyze a file and return detected opportunities and smells."""
        return {
            "opportunities": [],
            "code_smells": [],
        }

    def analyze_function(self, node: ast.FunctionDef) -> list[RefactoringOpportunity]:
        """Analyze a function for refactoring opportunities."""
        return []

    def analyze_class(self, node: ast.ClassDef) -> list[RefactoringOpportunity]:
        """Analyze a class for refactoring opportunities."""
        return []

    def detect_god_class(self, node: ast.ClassDef) -> CodeSmell | None:
        """Detect God Class code smell."""
        return None

    def detect_god_function(self, node: ast.FunctionDef) -> CodeSmell | None:
        """Detect God Function code smell."""
        return None

    def detect_feature_envy(self, node: ast.FunctionDef) -> CodeSmell | None:
        """Detect Feature Envy code smell."""
        return None

    def detect_data_clump(self, node: ast.ClassDef) -> CodeSmell | None:
        """Detect Data Clump code smell."""
        return None

    def detect_long_parameter_list(self, node: ast.FunctionDef) -> CodeSmell | None:
        """Detect Long Parameter List code smell."""
        return None

    def detect_duplicated_code(self, file_path: str) -> list[CodeSmell]:
        """Detect duplicated code blocks."""
        return []

    def detect_dead_code(self, file_path: str) -> list[CodeSmell]:
        """Detect dead code (unreachable or unused)."""
        return []

    def suggest_modernization(self, node: ast.AST) -> list[RefactoringOpportunity]:
        """Suggest code modernization (Python version specific)."""
        return []

    def suggest_design_patterns(self, node: ast.AST) -> list[str]:
        """Suggest applicable design patterns."""
        return []

    def calculate_refactoring_impact(self, opportunity: RefactoringOpportunity) -> dict[str, Any]:
        """Calculate estimated impact of a refactoring."""
        return {}

    def prioritize_refactorings(self, opportunities: list[RefactoringOpportunity]) -> list[RefactoringOpportunity]:
        """Prioritize refactoring opportunities."""
        return sorted(
            opportunities,
            key=lambda x: (
                {"high": 3, "medium": 2, "low": 1}.get(x.impact, 0),
                {"easy": 3, "medium": 2, "hard": 1}.get(x.effort, 0),
            ),
            reverse=True,
        )

    def _calculate_class_metrics(self, node: ast.ClassDef) -> dict[str, float]:
        """Calculate metrics for a class (size, complexity, cohesion)."""
        return {}

    def _calculate_function_metrics(self, node: ast.FunctionDef) -> dict[str, float]:
        """Calculate metrics for a function."""
        return {}

    def _find_similar_code(self, file_path: str) -> list[tuple[int, int]]:
        """Find similar code blocks."""
        # Implementation placeholder
        return []
