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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)} | |