"""Specialized reasoning strategies for specific domains and tasks.""" import logging from typing import Dict, Any, List, Optional, Set, Union, Type, Callable import json from dataclasses import dataclass, field from enum import Enum from datetime import datetime import asyncio from collections import defaultdict from .base import ReasoningStrategy class SpecializedReasoning(ReasoningStrategy): """ A composite reasoning strategy that combines multiple specialized strategies for different domains and tasks. """ def __init__(self, config: Optional[Dict[str, Any]] = None): """Initialize specialized reasoning with component strategies.""" super().__init__() self.config = config or {} # Standard reasoning parameters self.min_confidence = self.config.get('min_confidence', 0.7) self.parallel_threshold = self.config.get('parallel_threshold', 3) self.learning_rate = self.config.get('learning_rate', 0.1) self.strategy_weights = self.config.get('strategy_weights', { "LOCAL_LLM": 0.8, "CHAIN_OF_THOUGHT": 0.6, "TREE_OF_THOUGHTS": 0.5, "META_LEARNING": 0.4 }) # Initialize component strategies with shared config strategy_config = { 'min_confidence': self.min_confidence, 'parallel_threshold': self.parallel_threshold, 'learning_rate': self.learning_rate, 'strategy_weights': self.strategy_weights } self.strategies = { 'code_rewrite': CodeRewriteStrategy(strategy_config), 'security_audit': SecurityAuditStrategy(strategy_config), 'performance': PerformanceOptimizationStrategy(strategy_config), 'testing': TestGenerationStrategy(strategy_config), 'documentation': DocumentationStrategy(strategy_config), 'api_design': APIDesignStrategy(strategy_config), 'dependencies': DependencyManagementStrategy(strategy_config), 'code_review': CodeReviewStrategy(strategy_config) } async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """ Apply specialized reasoning by selecting and combining appropriate strategies based on the query and context. Args: query: The input query to reason about context: Additional context and parameters Returns: Dict containing reasoning results and confidence scores """ try: # Determine which strategies to use based on context selected_strategies = await self._select_strategies(query, context) # Get results from each selected strategy results = {} for strategy_name in selected_strategies: strategy = self.strategies[strategy_name] results[strategy_name] = await strategy.reason(query, context) # Combine results combined_result = await self._combine_results(results, context) return { 'answer': combined_result.get('answer', ''), 'confidence': combined_result.get('confidence', 0.0), 'reasoning_path': { 'selected_strategies': selected_strategies, 'individual_results': results, 'combination_method': combined_result.get('method', '') } } except Exception as e: logging.error(f"Specialized reasoning failed: {str(e)}") return { 'error': f"Specialized reasoning failed: {str(e)}", 'confidence': 0.0 } async def _select_strategies(self, query: str, context: Dict[str, Any]) -> List[str]: """Select appropriate strategies based on query and context.""" selected = [] # Simple keyword-based selection for now keywords = { 'code_rewrite': ['rewrite', 'refactor', 'improve'], 'security_audit': ['security', 'vulnerability', 'audit'], 'performance': ['performance', 'optimize', 'speed'], 'testing': ['test', 'coverage', 'verify'], 'documentation': ['document', 'explain', 'describe'], 'api_design': ['api', 'interface', 'endpoint'], 'dependencies': ['dependency', 'package', 'version'], 'code_review': ['review', 'quality', 'check'] } query_lower = query.lower() for strategy, terms in keywords.items(): if any(term in query_lower for term in terms): selected.append(strategy) # If no specific strategies selected, use code review as default if not selected: selected = ['code_review'] return selected async def _combine_results( self, results: Dict[str, Dict[str, Any]], context: Dict[str, Any] ) -> Dict[str, Any]: """Combine results from multiple strategies.""" if not results: return {'answer': '', 'confidence': 0.0, 'method': 'none'} # For now, use the highest confidence result best_result = max( results.items(), key=lambda x: x[1].get('confidence', 0) ) return { 'answer': best_result[1].get('answer', ''), 'confidence': best_result[1].get('confidence', 0.0), 'method': 'highest_confidence' } class CodeRewriteStrategy(ReasoningStrategy): """ Advanced code rewriting strategy that: 1. Analyzes code structure and patterns 2. Identifies refactoring opportunities 3. Maintains code semantics 4. Optimizes code quality 5. Ensures backward compatibility """ def __init__(self, config: Optional[Dict[str, Any]] = None): super().__init__() self.config = config or {} async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Rewrite code while preserving functionality.""" try: # Analyze code analysis = await self._analyze_code(query, context) # Generate rewrite plan plan = await self._generate_rewrite_plan(analysis, context) # Execute rewrites rewrites = await self._execute_rewrites(plan, context) # Validate changes validation = await self._validate_changes(rewrites, context) return { "success": validation["success"], "rewrites": rewrites, "validation": validation, "metrics": { "quality_improvement": validation.get("quality_score", 0.0), "semantic_preservation": validation.get("semantic_score", 0.0) } } except Exception as e: logging.error(f"Error in code rewrite: {str(e)}") return {"success": False, "error": str(e)} class SecurityAuditStrategy(ReasoningStrategy): """ Advanced security audit strategy that: 1. Identifies security vulnerabilities 2. Analyzes attack vectors 3. Recommends security fixes 4. Validates security measures 5. Monitors security state """ def __init__(self, config: Optional[Dict[str, Any]] = None): super().__init__() self.config = config or {} async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Perform security audit and generate recommendations.""" try: # Scan for vulnerabilities vulnerabilities = await self._scan_vulnerabilities(query, context) # Analyze risks risks = await self._analyze_risks(vulnerabilities, context) # Generate fixes fixes = await self._generate_fixes(risks, context) # Validate security validation = await self._validate_security(fixes, context) return { "success": True, "vulnerabilities": vulnerabilities, "risks": risks, "fixes": fixes, "validation": validation } except Exception as e: logging.error(f"Error in security audit: {str(e)}") return {"success": False, "error": str(e)} class PerformanceOptimizationStrategy(ReasoningStrategy): """ Advanced performance optimization strategy that: 1. Profiles code performance 2. Identifies bottlenecks 3. Generates optimizations 4. Measures improvements 5. Validates optimizations """ def __init__(self, config: Optional[Dict[str, Any]] = None): super().__init__() self.config = config or {} async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Optimize code performance.""" try: # Profile performance profile = await self._profile_performance(query, context) # Identify bottlenecks bottlenecks = await self._identify_bottlenecks(profile, context) # Generate optimizations optimizations = await self._generate_optimizations(bottlenecks, context) # Measure improvements measurements = await self._measure_improvements(optimizations, context) return { "success": measurements["success"], "profile": profile, "bottlenecks": bottlenecks, "optimizations": optimizations, "improvements": measurements } except Exception as e: logging.error(f"Error in performance optimization: {str(e)}") return {"success": False, "error": str(e)} class TestGenerationStrategy(ReasoningStrategy): """ Advanced test generation strategy that: 1. Analyzes code coverage 2. Generates test cases 3. Creates test fixtures 4. Validates test quality 5. Maintains test suite """ def __init__(self, config: Optional[Dict[str, Any]] = None): super().__init__() self.config = config or {} async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate comprehensive test suite.""" try: # Analyze coverage coverage = await self._analyze_coverage(query, context) # Generate test cases test_cases = await self._generate_test_cases(coverage, context) # Create fixtures fixtures = await self._create_fixtures(test_cases, context) # Validate tests validation = await self._validate_tests(test_cases, fixtures, context) return { "success": validation["success"], "test_cases": test_cases, "fixtures": fixtures, "validation": validation, "metrics": { "coverage": coverage.get("percentage", 0.0), "quality_score": validation.get("quality_score", 0.0) } } except Exception as e: logging.error(f"Error in test generation: {str(e)}") return {"success": False, "error": str(e)} class DocumentationStrategy(ReasoningStrategy): """ Advanced documentation strategy that: 1. Analyzes code structure 2. Generates documentation 3. Maintains consistency 4. Updates references 5. Validates completeness """ def __init__(self, config: Optional[Dict[str, Any]] = None): super().__init__() self.config = config or {} async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate and maintain documentation.""" try: # Analyze structure structure = await self._analyze_structure(query, context) # Generate documentation documentation = await self._generate_documentation(structure, context) # Update references references = await self._update_references(documentation, context) # Validate completeness validation = await self._validate_documentation(documentation, references, context) return { "success": validation["success"], "documentation": documentation, "references": references, "validation": validation, "metrics": { "completeness": validation.get("completeness_score", 0.0), "consistency": validation.get("consistency_score", 0.0) } } except Exception as e: logging.error(f"Error in documentation: {str(e)}") return {"success": False, "error": str(e)} class APIDesignStrategy(ReasoningStrategy): """ Advanced API design strategy that: 1. Analyzes requirements 2. Designs API structure 3. Generates specifications 4. Validates design 5. Maintains versioning """ def __init__(self, config: Optional[Dict[str, Any]] = None): super().__init__() self.config = config or {} async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Design and validate API.""" try: # Analyze requirements requirements = await self._analyze_requirements(query, context) # Design structure design = await self._design_structure(requirements, context) # Generate specs specs = await self._generate_specs(design, context) # Validate design validation = await self._validate_design(specs, context) return { "success": validation["success"], "requirements": requirements, "design": design, "specs": specs, "validation": validation } except Exception as e: logging.error(f"Error in API design: {str(e)}") return {"success": False, "error": str(e)} class DependencyManagementStrategy(ReasoningStrategy): """ Advanced dependency management strategy that: 1. Analyzes dependencies 2. Resolves conflicts 3. Optimizes versions 4. Ensures compatibility 5. Maintains security """ def __init__(self, config: Optional[Dict[str, Any]] = None): super().__init__() self.config = config or {} async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Manage and optimize dependencies.""" try: # Analyze dependencies analysis = await self._analyze_dependencies(query, context) # Resolve conflicts resolution = await self._resolve_conflicts(analysis, context) # Optimize versions optimization = await self._optimize_versions(resolution, context) # Validate compatibility validation = await self._validate_compatibility(optimization, context) return { "success": validation["success"], "analysis": analysis, "resolution": resolution, "optimization": optimization, "validation": validation } except Exception as e: logging.error(f"Error in dependency management: {str(e)}") return {"success": False, "error": str(e)} class CodeReviewStrategy(ReasoningStrategy): """ Advanced code review strategy that: 1. Analyzes code quality 2. Identifies issues 3. Suggests improvements 4. Tracks changes 5. Validates fixes """ def __init__(self, config: Optional[Dict[str, Any]] = None): super().__init__() self.config = config or {} async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Perform comprehensive code review.""" try: # Analyze quality quality = await self._analyze_quality(query, context) # Identify issues issues = await self._identify_issues(quality, context) # Generate suggestions suggestions = await self._generate_suggestions(issues, context) # Track changes tracking = await self._track_changes(suggestions, context) return { "success": True, "quality": quality, "issues": issues, "suggestions": suggestions, "tracking": tracking, "metrics": { "quality_score": quality.get("score", 0.0), "issues_found": len(issues), "suggestions_made": len(suggestions) } } except Exception as e: logging.error(f"Error in code review: {str(e)}") return {"success": False, "error": str(e)}