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| """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)} | |