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Enterprise Architecture Platform

Enterprise-Scale Architecture Management and Governance for Enhanced BMAD System

The Enterprise Architecture Platform provides sophisticated enterprise-grade architectural capabilities that enable organizations to design, implement, and govern complex software architectures at scale with intelligent patterns, automated compliance, and strategic alignment.

Enterprise Architecture Architecture

Comprehensive Enterprise Architecture Framework

enterprise_architecture_platform:
  architectural_design_capabilities:
    enterprise_pattern_library:
      - microservices_patterns: "Comprehensive microservices architecture patterns"
      - distributed_system_patterns: "Distributed system design patterns and best practices"
      - cloud_native_patterns: "Cloud-native architecture patterns and implementations"
      - event_driven_patterns: "Event-driven architecture patterns and message flows"
      - data_architecture_patterns: "Data architecture patterns and storage strategies"
      
    architectural_modeling:
      - system_modeling: "Model complex enterprise systems and their interactions"
      - domain_modeling: "Domain-driven design modeling and bounded contexts"
      - component_modeling: "Component architecture modeling and relationships"
      - integration_modeling: "Integration architecture modeling and protocols"
      - deployment_modeling: "Deployment architecture modeling and environments"
      
    architecture_validation:
      - pattern_compliance_validation: "Validate adherence to architectural patterns"
      - quality_attribute_validation: "Validate quality attributes and non-functional requirements"
      - constraint_validation: "Validate architectural constraints and limitations"
      - integration_compatibility_validation: "Validate integration compatibility and protocols"
      - scalability_validation: "Validate scalability and performance characteristics"
      
  governance_capabilities:
    architectural_governance:
      - architecture_review_boards: "Automated architecture review and approval processes"
      - compliance_monitoring: "Monitor compliance with architectural standards"
      - exception_management: "Manage and track architectural exceptions"
      - change_impact_analysis: "Analyze impact of architectural changes"
      - governance_reporting: "Generate architectural governance reports"
      
    standards_enforcement:
      - coding_standards_enforcement: "Enforce enterprise coding standards"
      - design_standards_enforcement: "Enforce architectural design standards"
      - security_standards_enforcement: "Enforce enterprise security standards"
      - integration_standards_enforcement: "Enforce integration and API standards"
      - deployment_standards_enforcement: "Enforce deployment and operational standards"
      
    policy_management:
      - architectural_policy_definition: "Define enterprise architectural policies"
      - policy_enforcement_automation: "Automate policy enforcement across projects"
      - policy_compliance_monitoring: "Monitor policy compliance continuously"
      - policy_exception_workflows: "Manage policy exception approval workflows"
      - policy_impact_assessment: "Assess impact of policy changes"
      
  enterprise_integration:
    system_integration_architecture:
      - api_gateway_architecture: "Design and implement API gateway patterns"
      - service_mesh_architecture: "Implement service mesh for microservices"
      - message_broker_architecture: "Design message broker and event streaming"
      - data_integration_architecture: "Design data integration and ETL pipelines"
      - legacy_system_integration: "Integrate with legacy enterprise systems"
      
    enterprise_service_bus:
      - esb_design_patterns: "Enterprise service bus design patterns"
      - message_routing_patterns: "Intelligent message routing and transformation"
      - protocol_bridging: "Bridge different communication protocols"
      - transaction_management: "Distributed transaction management patterns"
      - error_handling_patterns: "Enterprise error handling and recovery patterns"
      
    cloud_integration:
      - multi_cloud_architecture: "Multi-cloud integration and migration strategies"
      - hybrid_cloud_patterns: "Hybrid cloud architecture patterns"
      - cloud_native_integration: "Cloud-native service integration patterns"
      - serverless_integration: "Serverless architecture integration patterns"
      - edge_computing_integration: "Edge computing architecture integration"
      
  scalability_and_performance:
    horizontal_scaling_patterns:
      - load_balancing_patterns: "Load balancing and traffic distribution patterns"
      - auto_scaling_patterns: "Automated horizontal scaling patterns"
      - data_partitioning_patterns: "Data partitioning and sharding strategies"
      - caching_layer_patterns: "Multi-level caching architecture patterns"
      - cdn_integration_patterns: "Content delivery network integration patterns"
      
    vertical_scaling_optimization:
      - resource_optimization_patterns: "Resource optimization and allocation patterns"
      - performance_tuning_patterns: "Performance tuning and optimization patterns"
      - memory_management_patterns: "Enterprise memory management patterns"
      - cpu_optimization_patterns: "CPU utilization optimization patterns"
      - storage_optimization_patterns: "Storage performance optimization patterns"
      
    resilience_patterns:
      - fault_tolerance_patterns: "Fault tolerance and resilience patterns"
      - circuit_breaker_patterns: "Circuit breaker and failure isolation patterns"
      - retry_and_timeout_patterns: "Retry logic and timeout management patterns"
      - bulkhead_patterns: "Bulkhead isolation and resource protection patterns"
      - chaos_engineering_patterns: "Chaos engineering and resilience testing patterns"
      
  security_architecture:
    enterprise_security_patterns:
      - zero_trust_architecture: "Zero trust security architecture patterns"
      - identity_and_access_management: "Enterprise IAM architecture patterns"
      - api_security_patterns: "API security and authentication patterns"
      - data_encryption_patterns: "Data encryption and protection patterns"
      - network_security_patterns: "Network security and segmentation patterns"
      
    compliance_architecture:
      - regulatory_compliance_patterns: "Regulatory compliance architecture patterns"
      - audit_and_logging_patterns: "Enterprise audit and logging patterns"
      - data_privacy_patterns: "Data privacy and GDPR compliance patterns"
      - security_monitoring_patterns: "Security monitoring and threat detection patterns"
      - incident_response_patterns: "Security incident response patterns"

Enterprise Architecture Platform Implementation

import asyncio
import json
import yaml
import networkx as nx
import pandas as pd
from typing import Dict, List, Any, Optional, Tuple, Union
from dataclasses import dataclass, field
from enum import Enum
from datetime import datetime, timedelta
from pathlib import Path
import uuid
from collections import defaultdict, deque
import logging
from abc import ABC, abstractmethod

class ArchitectureType(Enum):
    MICROSERVICES = "microservices"
    MONOLITHIC = "monolithic"
    SERVICE_ORIENTED = "service_oriented"
    EVENT_DRIVEN = "event_driven"
    SERVERLESS = "serverless"
    HYBRID = "hybrid"

class GovernanceLevel(Enum):
    STRICT = "strict"
    MODERATE = "moderate"
    FLEXIBLE = "flexible"
    EXPERIMENTAL = "experimental"

class ComplianceStatus(Enum):
    COMPLIANT = "compliant"
    NON_COMPLIANT = "non_compliant"
    PARTIALLY_COMPLIANT = "partially_compliant"
    PENDING_REVIEW = "pending_review"
    EXCEPTION_GRANTED = "exception_granted"

@dataclass
class ArchitecturalPattern:
    """
    Represents an architectural pattern with its characteristics and constraints
    """
    pattern_id: str
    name: str
    type: ArchitectureType
    description: str
    quality_attributes: List[str]
    constraints: List[Dict[str, Any]] = field(default_factory=list)
    components: List[Dict[str, Any]] = field(default_factory=list)
    relationships: List[Dict[str, Any]] = field(default_factory=list)
    implementation_guidelines: List[str] = field(default_factory=list)
    best_practices: List[str] = field(default_factory=list)
    anti_patterns: List[str] = field(default_factory=list)

@dataclass
class ArchitecturalDecision:
    """
    Architectural Decision Record (ADR) with context and rationale
    """
    decision_id: str
    title: str
    status: str  # proposed, accepted, superseded, deprecated
    context: str
    decision: str
    rationale: str
    consequences: List[str] = field(default_factory=list)
    alternatives_considered: List[str] = field(default_factory=list)
    related_decisions: List[str] = field(default_factory=list)
    created_date: datetime = field(default_factory=datetime.utcnow)
    last_modified: datetime = field(default_factory=datetime.utcnow)

@dataclass
class ComplianceRule:
    """
    Compliance rule for architectural governance
    """
    rule_id: str
    name: str
    category: str
    description: str
    severity: str  # critical, high, medium, low
    validation_criteria: Dict[str, Any]
    automated_check: bool = True
    remediation_guidance: str = ""
    exceptions_allowed: bool = False

@dataclass
class ArchitectureAssessment:
    """
    Results of architectural assessment and validation
    """
    assessment_id: str
    timestamp: datetime
    architecture_context: Dict[str, Any]
    pattern_compliance: Dict[str, ComplianceStatus]
    rule_violations: List[Dict[str, Any]] = field(default_factory=list)
    quality_metrics: Dict[str, float] = field(default_factory=dict)
    recommendations: List[Dict[str, Any]] = field(default_factory=list)
    risk_assessment: Dict[str, Any] = field(default_factory=dict)

class EnterpriseArchitecturePlatform:
    """
    Enterprise-scale architecture management and governance platform
    """
    
    def __init__(self, claude_code_interface, config=None):
        self.claude_code = claude_code_interface
        self.config = config or {
            'governance_level': GovernanceLevel.MODERATE,
            'automated_compliance_checking': True,
            'pattern_library_path': 'enterprise-patterns/',
            'governance_rules_path': 'governance-rules/',
            'decision_records_path': 'architecture-decisions/',
            'assessment_frequency_days': 7,
            'compliance_threshold': 0.8
        }
        
        # Core architecture components
        self.pattern_manager = ArchitecturalPatternManager(self.claude_code, self.config)
        self.governance_engine = ArchitecturalGovernanceEngine(self.config)
        self.compliance_validator = ComplianceValidator(self.config)
        self.decision_manager = ArchitecturalDecisionManager(self.claude_code, self.config)
        
        # Specialized architecture services
        self.microservices_architect = MicroservicesArchitect(self.claude_code, self.config)
        self.integration_architect = IntegrationArchitect(self.claude_code, self.config)
        self.security_architect = SecurityArchitect(self.claude_code, self.config)
        self.data_architect = DataArchitect(self.claude_code, self.config)
        
        # Assessment and analytics
        self.architecture_analyzer = ArchitectureAnalyzer(self.config)
        self.quality_assessor = ArchitecturalQualityAssessor(self.config)
        self.risk_analyzer = ArchitecturalRiskAnalyzer(self.config)
        
        # State management
        self.architecture_repository = ArchitectureRepository()
        self.assessment_history = []
        self.active_assessments = {}
        
        # Enterprise governance
        self.governance_board = ArchitectureGovernanceBoard(self.config)
        self.policy_engine = ArchitecturalPolicyEngine(self.config)
        self.exception_manager = GovernanceExceptionManager(self.config)
        
    async def design_enterprise_architecture(self, requirements, context):
        """
        Design a comprehensive enterprise architecture based on requirements
        """
        design_session = {
            'session_id': generate_uuid(),
            'start_time': datetime.utcnow(),
            'requirements': requirements,
            'context': context,
            'architecture_design': {},
            'pattern_recommendations': [],
            'governance_considerations': {},
            'implementation_roadmap': {}
        }
        
        try:
            # Analyze requirements and context
            requirements_analysis = await self.analyze_architecture_requirements(
                requirements,
                context
            )
            design_session['requirements_analysis'] = requirements_analysis
            
            # Recommend architectural patterns
            pattern_recommendations = await self.pattern_manager.recommend_patterns(
                requirements_analysis
            )
            design_session['pattern_recommendations'] = pattern_recommendations
            
            # Design system architecture
            architecture_design = await self.design_system_architecture(
                requirements_analysis,
                pattern_recommendations
            )
            design_session['architecture_design'] = architecture_design
            
            # Apply governance considerations
            governance_analysis = await self.governance_engine.analyze_governance_requirements(
                architecture_design,
                context
            )
            design_session['governance_considerations'] = governance_analysis
            
            # Validate against enterprise standards
            compliance_validation = await self.compliance_validator.validate_architecture(
                architecture_design,
                governance_analysis
            )
            design_session['compliance_validation'] = compliance_validation
            
            # Generate implementation roadmap
            implementation_roadmap = await self.generate_implementation_roadmap(
                architecture_design,
                requirements_analysis,
                compliance_validation
            )
            design_session['implementation_roadmap'] = implementation_roadmap
            
            # Create architectural decision records
            decision_records = await self.decision_manager.create_design_decisions(
                design_session
            )
            design_session['decision_records'] = decision_records
            
        except Exception as e:
            design_session['error'] = str(e)
        
        finally:
            design_session['end_time'] = datetime.utcnow()
            design_session['design_duration'] = (
                design_session['end_time'] - design_session['start_time']
            ).total_seconds()
        
        return design_session
    
    async def analyze_architecture_requirements(self, requirements, context):
        """
        Analyze and categorize architecture requirements
        """
        requirements_analysis = {
            'functional_requirements': [],
            'non_functional_requirements': {},
            'quality_attributes': [],
            'constraints': [],
            'stakeholder_concerns': {},
            'technology_preferences': {},
            'scalability_requirements': {},
            'security_requirements': {},
            'integration_requirements': {}
        }
        
        # Categorize functional requirements
        functional_reqs = requirements.get('functional', [])
        requirements_analysis['functional_requirements'] = await self.categorize_functional_requirements(
            functional_reqs
        )
        
        # Analyze non-functional requirements
        non_functional_reqs = requirements.get('non_functional', {})
        requirements_analysis['non_functional_requirements'] = await self.analyze_non_functional_requirements(
            non_functional_reqs
        )
        
        # Extract quality attributes
        quality_attributes = await self.extract_quality_attributes(
            requirements,
            context
        )
        requirements_analysis['quality_attributes'] = quality_attributes
        
        # Identify constraints
        constraints = await self.identify_architecture_constraints(
            requirements,
            context
        )
        requirements_analysis['constraints'] = constraints
        
        # Analyze stakeholder concerns
        stakeholder_concerns = await self.analyze_stakeholder_concerns(
            context.get('stakeholders', [])
        )
        requirements_analysis['stakeholder_concerns'] = stakeholder_concerns
        
        return requirements_analysis
    
    async def design_system_architecture(self, requirements_analysis, pattern_recommendations):
        """
        Design the overall system architecture
        """
        architecture_design = {
            'architecture_overview': {},
            'system_components': [],
            'component_relationships': [],
            'data_architecture': {},
            'integration_architecture': {},
            'security_architecture': {},
            'deployment_architecture': {},
            'technology_stack': {}
        }
        
        # Design overall architecture based on primary pattern
        primary_pattern = pattern_recommendations[0] if pattern_recommendations else None
        
        if primary_pattern:
            if primary_pattern['pattern_type'] == ArchitectureType.MICROSERVICES:
                microservices_design = await self.microservices_architect.design_microservices_architecture(
                    requirements_analysis
                )
                architecture_design.update(microservices_design)
            elif primary_pattern['pattern_type'] == ArchitectureType.EVENT_DRIVEN:
                event_driven_design = await self.design_event_driven_architecture(
                    requirements_analysis
                )
                architecture_design.update(event_driven_design)
            else:
                # Design generic architecture
                generic_design = await self.design_generic_architecture(
                    requirements_analysis,
                    primary_pattern
                )
                architecture_design.update(generic_design)
        
        # Design integration architecture
        integration_design = await self.integration_architect.design_integration_architecture(
            requirements_analysis,
            architecture_design
        )
        architecture_design['integration_architecture'] = integration_design
        
        # Design security architecture
        security_design = await self.security_architect.design_security_architecture(
            requirements_analysis,
            architecture_design
        )
        architecture_design['security_architecture'] = security_design
        
        # Design data architecture
        data_design = await self.data_architect.design_data_architecture(
            requirements_analysis,
            architecture_design
        )
        architecture_design['data_architecture'] = data_design
        
        return architecture_design
    
    async def perform_architecture_assessment(self, project_path, assessment_scope=None):
        """
        Perform comprehensive architecture assessment
        """
        assessment = ArchitectureAssessment(
            assessment_id=generate_uuid(),
            timestamp=datetime.utcnow(),
            architecture_context={
                'project_path': project_path,
                'assessment_scope': assessment_scope or 'full'
            },
            pattern_compliance={},
            quality_metrics={}
        )
        
        # Store active assessment
        self.active_assessments[assessment.assessment_id] = assessment
        
        try:
            # Discover and analyze existing architecture
            architecture_discovery = await self.discover_existing_architecture(project_path)
            assessment.architecture_context.update(architecture_discovery)
            
            # Validate pattern compliance
            pattern_compliance = await self.validate_pattern_compliance(
                architecture_discovery
            )
            assessment.pattern_compliance = pattern_compliance
            
            # Check governance compliance
            governance_compliance = await self.governance_engine.validate_governance_compliance(
                architecture_discovery
            )
            assessment.rule_violations.extend(governance_compliance.get('violations', []))
            
            # Assess architectural quality
            quality_assessment = await self.quality_assessor.assess_architecture_quality(
                architecture_discovery
            )
            assessment.quality_metrics = quality_assessment
            
            # Perform risk analysis
            risk_analysis = await self.risk_analyzer.analyze_architecture_risks(
                architecture_discovery,
                quality_assessment
            )
            assessment.risk_assessment = risk_analysis
            
            # Generate recommendations
            recommendations = await self.generate_architecture_recommendations(
                assessment
            )
            assessment.recommendations = recommendations
            
        except Exception as e:
            assessment.architecture_context['error'] = str(e)
        
        finally:
            # Remove from active assessments
            if assessment.assessment_id in self.active_assessments:
                del self.active_assessments[assessment.assessment_id]
            
            # Store in history
            self.assessment_history.append(assessment)
        
        return assessment
    
    async def discover_existing_architecture(self, project_path):
        """
        Discover and analyze existing architecture from codebase
        """
        architecture_discovery = {
            'components': [],
            'services': [],
            'databases': [],
            'apis': [],
            'dependencies': {},
            'configuration_files': [],
            'deployment_descriptors': [],
            'technology_stack': {},
            'architecture_patterns': []
        }
        
        # Discover components and services
        components = await self.discover_system_components(project_path)
        architecture_discovery['components'] = components
        
        # Discover APIs and interfaces
        apis = await self.discover_apis_and_interfaces(project_path)
        architecture_discovery['apis'] = apis
        
        # Discover databases and data stores
        databases = await self.discover_data_stores(project_path)
        architecture_discovery['databases'] = databases
        
        # Analyze dependencies
        dependencies = await self.analyze_system_dependencies(project_path)
        architecture_discovery['dependencies'] = dependencies
        
        # Discover configuration files
        config_files = await self.discover_configuration_files(project_path)
        architecture_discovery['configuration_files'] = config_files
        
        # Analyze technology stack
        tech_stack = await self.analyze_technology_stack(project_path)
        architecture_discovery['technology_stack'] = tech_stack
        
        # Identify architecture patterns
        patterns = await self.identify_existing_patterns(architecture_discovery)
        architecture_discovery['architecture_patterns'] = patterns
        
        return architecture_discovery
    
    async def discover_system_components(self, project_path):
        """
        Discover system components from codebase
        """
        components = []
        
        # Look for common component indicators
        component_patterns = [
            '**/*Service.py', '**/*Controller.py', '**/*Repository.py',
            '**/*Component.java', '**/*Service.java', '**/*Controller.java',
            '**/*service.js', '**/*controller.js', '**/*component.js'
        ]
        
        for pattern in component_patterns:
            try:
                files = await self.claude_code.glob(pattern, path=project_path)
                
                for file_path in files:
                    component_info = await self.analyze_component_file(file_path)
                    if component_info:
                        components.append(component_info)
                        
            except Exception:
                continue
        
        return components
    
    async def analyze_component_file(self, file_path):
        """
        Analyze a component file to extract architectural information
        """
        try:
            content = await self.claude_code.read(file_path)
            
            component_info = {
                'name': Path(file_path).stem,
                'file_path': file_path,
                'type': self.infer_component_type(file_path, content),
                'dependencies': [],
                'interfaces': [],
                'responsibilities': []
            }
            
            # Extract dependencies
            dependencies = await self.extract_component_dependencies(content, file_path)
            component_info['dependencies'] = dependencies
            
            # Extract interfaces
            interfaces = await self.extract_component_interfaces(content, file_path)
            component_info['interfaces'] = interfaces
            
            # Infer responsibilities
            responsibilities = await self.infer_component_responsibilities(content, file_path)
            component_info['responsibilities'] = responsibilities
            
            return component_info
            
        except Exception:
            return None
    
    def infer_component_type(self, file_path, content):
        """
        Infer component type from file path and content
        """
        file_name = Path(file_path).name.lower()
        
        if 'controller' in file_name:
            return 'controller'
        elif 'service' in file_name:
            return 'service'
        elif 'repository' in file_name or 'dao' in file_name:
            return 'data_access'
        elif 'model' in file_name or 'entity' in file_name:
            return 'model'
        elif 'component' in file_name:
            return 'component'
        elif 'util' in file_name or 'helper' in file_name:
            return 'utility'
        else:
            return 'unknown'
    
    async def validate_pattern_compliance(self, architecture_discovery):
        """
        Validate compliance with architectural patterns
        """
        pattern_compliance = {}
        
        # Get expected patterns from repository
        expected_patterns = await self.pattern_manager.get_expected_patterns(
            architecture_discovery
        )
        
        for pattern in expected_patterns:
            compliance_status = await self.pattern_manager.validate_pattern_compliance(
                pattern,
                architecture_discovery
            )
            pattern_compliance[pattern['pattern_id']] = compliance_status
        
        return pattern_compliance
    
    async def generate_architecture_recommendations(self, assessment: ArchitectureAssessment):
        """
        Generate intelligent architecture improvement recommendations
        """
        recommendations = []
        
        # Analyze pattern compliance for recommendations
        for pattern_id, compliance_status in assessment.pattern_compliance.items():
            if compliance_status == ComplianceStatus.NON_COMPLIANT:
                pattern_recommendations = await self.generate_pattern_compliance_recommendations(
                    pattern_id,
                    assessment
                )
                recommendations.extend(pattern_recommendations)
        
        # Analyze quality metrics for recommendations
        quality_recommendations = await self.generate_quality_improvement_recommendations(
            assessment.quality_metrics
        )
        recommendations.extend(quality_recommendations)
        
        # Analyze rule violations for recommendations
        violation_recommendations = await self.generate_violation_remediation_recommendations(
            assessment.rule_violations
        )
        recommendations.extend(violation_recommendations)
        
        # Analyze risks for recommendations
        risk_recommendations = await self.generate_risk_mitigation_recommendations(
            assessment.risk_assessment
        )
        recommendations.extend(risk_recommendations)
        
        return recommendations
    
    async def generate_implementation_roadmap(self, architecture_design, requirements_analysis, compliance_validation):
        """
        Generate implementation roadmap for the architecture
        """
        roadmap = {
            'phases': [],
            'milestones': [],
            'dependencies': [],
            'risk_mitigation': [],
            'resource_requirements': {},
            'timeline_estimate': {}
        }
        
        # Phase 1: Foundation and Core Services
        foundation_phase = {
            'phase_number': 1,
            'name': 'Foundation and Core Services',
            'description': 'Establish foundational architecture and core services',
            'duration_weeks': 8,
            'deliverables': [
                'Core service infrastructure',
                'Data layer implementation',
                'Security framework setup',
                'Development and deployment pipelines'
            ],
            'success_criteria': [
                'Core services operational',
                'Security baseline established',
                'CI/CD pipeline functional'
            ]
        }
        roadmap['phases'].append(foundation_phase)
        
        # Phase 2: Business Services Implementation
        business_phase = {
            'phase_number': 2,
            'name': 'Business Services Implementation',
            'description': 'Implement core business functionality and services',
            'duration_weeks': 12,
            'deliverables': [
                'Business service implementations',
                'API gateway setup',
                'Integration layer',
                'Monitoring and observability'
            ],
            'success_criteria': [
                'Business services functional',
                'APIs accessible and documented',
                'System monitoring operational'
            ]
        }
        roadmap['phases'].append(business_phase)
        
        # Phase 3: Integration and Optimization
        integration_phase = {
            'phase_number': 3,
            'name': 'Integration and Optimization',
            'description': 'Complete system integration and performance optimization',
            'duration_weeks': 6,
            'deliverables': [
                'External system integrations',
                'Performance optimization',
                'Security hardening',
                'User acceptance testing'
            ],
            'success_criteria': [
                'All integrations working',
                'Performance targets met',
                'Security audit passed'
            ]
        }
        roadmap['phases'].append(integration_phase)
        
        # Generate milestones
        roadmap['milestones'] = await self.generate_implementation_milestones(roadmap['phases'])
        
        # Identify dependencies
        roadmap['dependencies'] = await self.identify_implementation_dependencies(
            architecture_design,
            roadmap['phases']
        )
        
        # Estimate timeline
        total_weeks = sum(phase['duration_weeks'] for phase in roadmap['phases'])
        roadmap['timeline_estimate'] = {
            'total_duration_weeks': total_weeks,
            'estimated_completion': datetime.utcnow() + timedelta(weeks=total_weeks),
            'critical_path': await self.calculate_critical_path(roadmap)
        }
        
        return roadmap

class ArchitecturalPatternManager:
    """
    Manages architectural patterns and their application
    """
    
    def __init__(self, claude_code, config):
        self.claude_code = claude_code
        self.config = config
        self.pattern_library = {}
        
    async def recommend_patterns(self, requirements_analysis):
        """
        Recommend architectural patterns based on requirements
        """
        pattern_recommendations = []
        
        # Load pattern library
        await self.load_pattern_library()
        
        # Analyze requirements for pattern matching
        quality_attributes = requirements_analysis.get('quality_attributes', [])
        constraints = requirements_analysis.get('constraints', [])
        scale_requirements = requirements_analysis.get('scalability_requirements', {})
        
        # Score patterns based on fit
        for pattern_id, pattern in self.pattern_library.items():
            pattern_score = await self.calculate_pattern_fit_score(
                pattern,
                requirements_analysis
            )
            
            if pattern_score > 0.6:  # Threshold for recommendation
                pattern_recommendations.append({
                    'pattern_id': pattern_id,
                    'pattern': pattern,
                    'fit_score': pattern_score,
                    'pattern_type': pattern.type,
                    'rationale': await self.generate_pattern_rationale(
                        pattern,
                        requirements_analysis
                    )
                })
        
        # Sort by fit score
        pattern_recommendations.sort(key=lambda x: x['fit_score'], reverse=True)
        
        return pattern_recommendations
    
    async def load_pattern_library(self):
        """
        Load architectural pattern library
        """
        if not self.pattern_library:
            # Load built-in patterns
            self.pattern_library = await self.load_builtin_patterns()
            
            # Load custom patterns if available
            custom_patterns = await self.load_custom_patterns()
            self.pattern_library.update(custom_patterns)
    
    async def load_builtin_patterns(self):
        """
        Load built-in architectural patterns
        """
        builtin_patterns = {}
        
        # Microservices pattern
        microservices_pattern = ArchitecturalPattern(
            pattern_id="microservices-001",
            name="Microservices Architecture",
            type=ArchitectureType.MICROSERVICES,
            description="Decompose application into small, independent services",
            quality_attributes=[
                "scalability", "maintainability", "deployability", "testability"
            ],
            constraints=[
                {"type": "complexity", "value": "high", "description": "Increased operational complexity"},
                {"type": "consistency", "value": "eventual", "description": "Eventual consistency model"}
            ],
            implementation_guidelines=[
                "Design services around business capabilities",
                "Implement independent data stores per service",
                "Use API gateways for client communication",
                "Implement distributed monitoring and logging"
            ]
        )
        builtin_patterns[microservices_pattern.pattern_id] = microservices_pattern
        
        # Event-driven architecture pattern
        event_driven_pattern = ArchitecturalPattern(
            pattern_id="event-driven-001",
            name="Event-Driven Architecture",
            type=ArchitectureType.EVENT_DRIVEN,
            description="Use events to trigger and communicate between services",
            quality_attributes=[
                "scalability", "loose_coupling", "responsiveness", "resilience"
            ],
            constraints=[
                {"type": "complexity", "value": "medium", "description": "Event ordering and consistency challenges"},
                {"type": "debugging", "value": "difficult", "description": "Distributed debugging complexity"}
            ],
            implementation_guidelines=[
                "Design events as immutable facts",
                "Implement event sourcing for audit trails",
                "Use message brokers for event distribution",
                "Implement saga patterns for distributed transactions"
            ]
        )
        builtin_patterns[event_driven_pattern.pattern_id] = event_driven_pattern
        
        return builtin_patterns
    
    async def calculate_pattern_fit_score(self, pattern: ArchitecturalPattern, requirements_analysis):
        """
        Calculate how well a pattern fits the requirements
        """
        fit_score = 0.0
        
        # Quality attributes alignment
        required_attributes = set(requirements_analysis.get('quality_attributes', []))
        pattern_attributes = set(pattern.quality_attributes)
        
        if required_attributes:
            attribute_match = len(required_attributes.intersection(pattern_attributes)) / len(required_attributes)
            fit_score += attribute_match * 0.4
        
        # Scalability requirements alignment
        scalability_reqs = requirements_analysis.get('scalability_requirements', {})
        if scalability_reqs.get('horizontal_scaling', False) and pattern.type == ArchitectureType.MICROSERVICES:
            fit_score += 0.3
        
        # Constraint compatibility
        constraints = requirements_analysis.get('constraints', [])
        constraint_compatibility = await self.assess_constraint_compatibility(
            pattern,
            constraints
        )
        fit_score += constraint_compatibility * 0.3
        
        return min(1.0, fit_score)

class MicroservicesArchitect:
    """
    Specialized architect for microservices architectures
    """
    
    def __init__(self, claude_code, config):
        self.claude_code = claude_code
        self.config = config
        
    async def design_microservices_architecture(self, requirements_analysis):
        """
        Design a comprehensive microservices architecture
        """
        microservices_design = {
            'services': [],
            'api_gateway': {},
            'service_mesh': {},
            'data_strategy': {},
            'communication_patterns': {},
            'deployment_strategy': {}
        }
        
        # Identify service boundaries
        services = await self.identify_service_boundaries(requirements_analysis)
        microservices_design['services'] = services
        
        # Design API gateway
        api_gateway = await self.design_api_gateway(services, requirements_analysis)
        microservices_design['api_gateway'] = api_gateway
        
        # Design service mesh
        service_mesh = await self.design_service_mesh(services)
        microservices_design['service_mesh'] = service_mesh
        
        # Design data strategy
        data_strategy = await self.design_microservices_data_strategy(services)
        microservices_design['data_strategy'] = data_strategy
        
        # Design communication patterns
        communication_patterns = await self.design_communication_patterns(services)
        microservices_design['communication_patterns'] = communication_patterns
        
        return microservices_design
    
    async def identify_service_boundaries(self, requirements_analysis):
        """
        Identify microservice boundaries using domain-driven design
        """
        services = []
        
        # Extract business capabilities from functional requirements
        functional_reqs = requirements_analysis.get('functional_requirements', [])
        
        # Group related functionality into bounded contexts
        bounded_contexts = await self.identify_bounded_contexts(functional_reqs)
        
        for context in bounded_contexts:
            service = {
                'name': context['name'],
                'bounded_context': context,
                'responsibilities': context['responsibilities'],
                'data_entities': context['entities'],
                'api_endpoints': await self.design_service_api(context),
                'dependencies': [],
                'database_schema': await self.design_service_database(context)
            }
            services.append(service)
        
        # Analyze inter-service dependencies
        for service in services:
            dependencies = await self.analyze_service_dependencies(service, services)
            service['dependencies'] = dependencies
        
        return services
    
    async def identify_bounded_contexts(self, functional_requirements):
        """
        Identify bounded contexts from functional requirements
        """
        bounded_contexts = []
        
        # Sample bounded contexts based on common e-commerce patterns
        # In practice, this would analyze actual requirements
        
        user_management_context = {
            'name': 'User Management',
            'description': 'Manages user accounts, authentication, and profiles',
            'responsibilities': [
                'User registration and authentication',
                'Profile management',
                'Role and permission management'
            ],
            'entities': ['User', 'Role', 'Permission', 'Profile'],
            'ubiquitous_language': {
                'User': 'A person who uses the system',
                'Role': 'A set of permissions assigned to users',
                'Profile': 'User-specific information and preferences'
            }
        }
        bounded_contexts.append(user_management_context)
        
        product_catalog_context = {
            'name': 'Product Catalog',
            'description': 'Manages product information and catalog',
            'responsibilities': [
                'Product information management',
                'Category and taxonomy management',
                'Product search and discovery'
            ],
            'entities': ['Product', 'Category', 'Brand', 'Specification'],
            'ubiquitous_language': {
                'Product': 'An item available for purchase',
                'Category': 'A grouping of related products',
                'Specification': 'Technical details of a product'
            }
        }
        bounded_contexts.append(product_catalog_context)
        
        return bounded_contexts

def generate_uuid():
    """Generate a UUID string"""
    return str(uuid.uuid4())

# Additional specialized classes would be implemented here:
# - IntegrationArchitect
# - SecurityArchitect  
# - DataArchitect
# - ArchitectureAnalyzer
# - ArchitecturalQualityAssessor
# - ArchitecturalRiskAnalyzer
# - ArchitectureRepository
# - ArchitectureGovernanceBoard
# - ArchitecturalPolicyEngine
# - GovernanceExceptionManager

Enterprise Architecture Commands

# Architecture design and modeling
bmad architecture design --requirements "requirements.yaml" --enterprise-patterns
bmad architecture model --system "microservices" --domain-driven --visual
bmad architecture validate --pattern-compliance --governance-rules

# Enterprise governance and compliance
bmad architecture govern --strict-mode --automated-compliance
bmad architecture review --architecture-board --decision-records
bmad architecture policy --enforce --exceptions-workflow

# Pattern management and recommendations
bmad architecture patterns --recommend --requirements-based --best-practices
bmad architecture library --enterprise-patterns --custom-patterns
bmad architecture standards --enforce --coding-design-security

# Assessment and quality assurance
bmad architecture assess --comprehensive --quality-metrics --risk-analysis
bmad architecture compliance --validate-all --generate-report
bmad architecture quality --attributes-validation --improvement-recommendations

# Integration and scalability
bmad architecture integrate --api-gateway --service-mesh --event-driven
bmad architecture scale --horizontal-patterns --load-balancing --auto-scaling
bmad architecture cloud --multi-cloud --hybrid --serverless-integration

# Security and data architecture
bmad architecture security --zero-trust --encryption --compliance-patterns
bmad architecture data --strategy-design --integration-patterns --governance
bmad architecture legacy --integration-patterns --modernization-roadmap

# Implementation and roadmap
bmad architecture roadmap --implementation-phases --milestones --dependencies
bmad architecture deploy --patterns-implementation --governance-automation
bmad architecture monitor --compliance-continuous --architecture-evolution

This Enterprise Architecture Platform provides sophisticated enterprise-grade architectural capabilities that enable organizations to design, implement, and govern complex software architectures at scale with intelligent patterns, automated compliance, and strategic alignment throughout the entire enterprise development lifecycle.

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