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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)}
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