Application Blueprint

The Quantum Platform Application Blueprint defines the complete application architecture, design patterns, and implementation guidelines for building intent-driven orchestration systems.

Blueprint Overview

This blueprint serves as the definitive guide for:

• Application Architecture: System design and component relationships
• Design Patterns: Reusable patterns for common scenarios
• Implementation Guidelines: Best practices and standards
• Quality Gates: Non-functional requirements and validation criteria

Application Architecture

Core Application Stack

graph TB
    subgraph "Presentation Layer"
        WebUI[Web UI<br/>Next.js + React]
        MobileUI[Mobile UI<br/>React Native]
        CLI[CLI Interface<br/>Python/Go]
    end
    
    subgraph "API Layer"
        Gateway[API Gateway<br/>FastAPI]
        Auth[Auth Service<br/>JWT + OAuth2]
        RateLimit[Rate Limiting<br/>Redis-based]
    end
    
    subgraph "Business Logic Layer"
        IntentService[Intent Service<br/>CRUD + Validation]
        OrchestrationService[Orchestration Service<br/>Workflow Engine]
        ModuleService[Module Service<br/>Plugin Architecture]
    end
    
    subgraph "Data Access Layer"
        Repository[Repository Pattern<br/>Data Abstraction]
        Cache[Cache Layer<br/>Redis]
        Database[Database<br/>PostgreSQL]
    end
    
    subgraph "Infrastructure Layer"
        MessageQueue[Message Queue<br/>Azure Event Hubs]
        Storage[Blob Storage<br/>Azure Storage]
        Monitoring[Monitoring<br/>OpenTelemetry]
    end
    
    WebUI --> Gateway
    MobileUI --> Gateway
    CLI --> Gateway
    
    Gateway --> Auth
    Gateway --> RateLimit
    Gateway --> IntentService
    Gateway --> OrchestrationService
    
    IntentService --> Repository
    OrchestrationService --> ModuleService
    ModuleService --> MessageQueue
    
    Repository --> Cache
    Repository --> Database
    ModuleService --> Storage
    
    Gateway --> Monitoring
    IntentService --> Monitoring
    OrchestrationService --> Monitoring

Design Patterns

1. Intent-Driven Pattern

Purpose: Enable declarative system behavior through intent specifications

Implementation:

class Intent:
    def __init__(self, tenant_id: str, name: str, definition: dict):
        self.tenant_id = tenant_id
        self.name = name
        self.definition = definition
        self.status = IntentStatus.DRAFT
        self.version = 1
    
    def validate(self) -> ValidationResult:
        """Validate intent definition against schema"""
        pass
    
    def execute(self) -> ExecutionResult:
        """Execute intent through orchestrator"""
        pass

Benefits:

• Declarative configuration
• Self-documenting code
• Easy testing and validation
• Version control friendly

2. Repository Pattern

Purpose: Abstract data access and provide a clean interface for data operations

Implementation:

class IntentRepository:
    def __init__(self, db: AsyncSession):
        self.db = db
    
    async def create(self, intent: Intent) -> Intent:
        """Create new intent"""
        pass
    
    async def get_by_id(self, intent_id: str) -> Optional[Intent]:
        """Get intent by ID"""
        pass
    
    async def get_by_tenant(self, tenant_id: str) -> List[Intent]:
        """Get all intents for tenant"""
        pass
    
    async def update(self, intent: Intent) -> Intent:
        """Update existing intent"""
        pass
    
    async def delete(self, intent_id: str) -> bool:
        """Delete intent"""
        pass

Benefits:

• Data access abstraction
• Testability
• Database independence
• Consistent interface

3. Orchestrator Pattern

Purpose: Coordinate complex workflows and manage execution state

Implementation:

class WorkflowOrchestrator:
    def __init__(self, intent_registry: IntentRegistry, module_registry: ModuleRegistry):
        self.intent_registry = intent_registry
        self.module_registry = module_registry
    
    async def execute_intent(self, intent_id: str) -> ExecutionResult:
        """Execute intent through workflow orchestration"""
        intent = await self.intent_registry.get(intent_id)
        workflow = self.create_workflow(intent)
        return await self.execute_workflow(workflow)
    
    def create_workflow(self, intent: Intent) -> Workflow:
        """Create workflow from intent definition"""
        pass
    
    async def execute_workflow(self, workflow: Workflow) -> ExecutionResult:
        """Execute workflow with error handling and retry logic"""
        pass

Benefits:

• Workflow management
• Error handling and recovery
• Progress tracking
• Scalability

4. Module Plugin Pattern

Purpose: Enable extensible business logic through pluggable modules

Implementation:

class ModuleInterface(ABC):
    @abstractmethod
    async def execute(self, context: ExecutionContext) -> ModuleResult:
        """Execute module logic"""
        pass
    
    @abstractmethod
    def get_capabilities(self) -> List[Capability]:
        """Return module capabilities"""
        pass

class ModuleRegistry:
    def __init__(self):
        self.modules: Dict[str, ModuleInterface] = {}
    
    def register(self, name: str, module: ModuleInterface):
        """Register module"""
        self.modules[name] = module
    
    def get(self, name: str) -> Optional[ModuleInterface]:
        """Get module by name"""
        return self.modules.get(name)

Benefits:

• Extensibility
• Modularity
• Testability
• Reusability

Application Components

1. API Gateway Service

Purpose: Central entry point for all client requests

Key Responsibilities:

• Request routing and load balancing
• Authentication and authorization
• Rate limiting and throttling
• Request/response transformation
• API documentation generation

Configuration:

# FastAPI application setup
app = FastAPI(
    title="Quantum Platform API",
    version="1.0.0",
    openapi_url="/api/v1/openapi.json",
    docs_url="/api/v1/docs",
    redoc_url="/api/v1/redoc",
    middleware=[
        Middleware(CORSMiddleware, allow_origins=["*"]),
        Middleware(TrustedHostMiddleware, allowed_hosts=["*"]),
    ]
)

# Authentication middleware
@app.middleware("http")
async def auth_middleware(request: Request, call_next):
    # JWT token validation
    pass

# Rate limiting middleware
@app.middleware("http")
async def rate_limit_middleware(request: Request, call_next):
    # Redis-based rate limiting
    pass

2. Intent Registry Service

Purpose: Central storage and management of intent definitions

Key Responsibilities:

• Intent CRUD operations
• Version management and rollback
• Validation and schema enforcement
• Search and discovery
• Audit trail and change tracking

Data Model:

class Intent(BaseModel):
    id: UUID
    tenant_id: UUID
    name: str
    version: int
    definition: Dict[str, Any]
    status: IntentStatus
    created_at: datetime
    updated_at: datetime
    created_by: str
    updated_by: str

class IntentStatus(str, Enum):
    DRAFT = "draft"
    ACTIVE = "active"
    DEPRECATED = "deprecated"
    ARCHIVED = "archived"

3. Orchestration Service

Purpose: Workflow execution and orchestration engine

Key Responsibilities:

• Intent execution planning
• Workflow orchestration
• Error handling and retry logic
• Progress tracking and monitoring
• Event-driven processing

Workflow Definition:

class Workflow(BaseModel):
    id: UUID
    intent_id: UUID
    steps: List[WorkflowStep]
    status: WorkflowStatus
    started_at: Optional[datetime]
    completed_at: Optional[datetime]
    error: Optional[str]

class WorkflowStep(BaseModel):
    id: str
    module: str
    parameters: Dict[str, Any]
    dependencies: List[str]
    retry_policy: RetryPolicy
    timeout: int

4. Module Services

Purpose: Domain-specific business logic implementation

Key Responsibilities:

• Business logic execution
• External system integration
• Data transformation
• Event publishing
• Health monitoring

Module Interface:

class ModuleInterface(ABC):
    @abstractmethod
    async def execute(self, context: ExecutionContext) -> ModuleResult:
        """Execute module logic"""
        pass
    
    @abstractmethod
    def get_capabilities(self) -> List[Capability]:
        """Return module capabilities"""
        pass
    
    @abstractmethod
    def get_health_status(self) -> HealthStatus:
        """Return module health status"""
        pass

Data Architecture

Database Design

Primary Database: PostgreSQL 15+ with Row-Level Security

Key Tables:

-- Tenants table
CREATE TABLE tenants (
    id UUID PRIMARY KEY,
    name VARCHAR(255) NOT NULL,
    domain VARCHAR(255) UNIQUE NOT NULL,
    status VARCHAR(50) NOT NULL,
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW()
);

-- Intents table
CREATE TABLE intents (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL REFERENCES tenants(id),
    name VARCHAR(255) NOT NULL,
    version INTEGER NOT NULL,
    definition JSONB NOT NULL,
    status VARCHAR(50) NOT NULL,
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW(),
    UNIQUE(tenant_id, name, version)
);

-- Workflows table
CREATE TABLE workflows (
    id UUID PRIMARY KEY,
    intent_id UUID NOT NULL REFERENCES intents(id),
    status VARCHAR(50) NOT NULL,
    started_at TIMESTAMP,
    completed_at TIMESTAMP,
    error_message TEXT,
    created_at TIMESTAMP DEFAULT NOW()
);

-- Modules table
CREATE TABLE modules (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL REFERENCES tenants(id),
    name VARCHAR(255) NOT NULL,
    version VARCHAR(50) NOT NULL,
    capabilities JSONB NOT NULL,
    status VARCHAR(50) NOT NULL,
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW()
);

Row-Level Security Policies:

-- Enable RLS on all tables
ALTER TABLE intents ENABLE ROW LEVEL SECURITY;
ALTER TABLE workflows ENABLE ROW LEVEL SECURITY;
ALTER TABLE modules ENABLE ROW LEVEL SECURITY;

-- Tenant isolation policies
CREATE POLICY tenant_isolation_intents ON intents
    FOR ALL TO app_user
    USING (tenant_id = current_setting('app.current_tenant_id')::uuid);

CREATE POLICY tenant_isolation_workflows ON workflows
    FOR ALL TO app_user
    USING (intent_id IN (
        SELECT id FROM intents 
        WHERE tenant_id = current_setting('app.current_tenant_id')::uuid
    ));

Caching Strategy

Redis: Multi-layer caching for performance

Cache Layers:

1. Session Cache: User sessions and authentication tokens
2. Query Cache: Database query results
3. API Cache: API response caching
4. Rate Limit Cache: Rate limiting counters

Cache Configuration:

# Redis configuration
redis_config = {
    "host": "localhost",
    "port": 6379,
    "db": 0,
    "decode_responses": True,
    "socket_connect_timeout": 5,
    "socket_timeout": 5,
    "retry_on_timeout": True,
    "health_check_interval": 30
}

# Cache decorator
def cache_result(expiry: int = 300):
    def decorator(func):
        async def wrapper(*args, **kwargs):
            cache_key = f"{func.__name__}:{hash(str(args) + str(kwargs))}"
            cached = await redis.get(cache_key)
            if cached:
                return json.loads(cached)
            
            result = await func(*args, **kwargs)
            await redis.setex(cache_key, expiry, json.dumps(result))
            return result
        return wrapper
    return decorator

Security Architecture

Authentication

Azure Active Directory: Enterprise identity provider JWT Tokens: Stateless authentication Multi-Factor Authentication: Enhanced security

Authentication Flow:

class AuthService:
    def __init__(self, azure_ad_client: AzureADClient):
        self.azure_ad_client = azure_ad_client
    
    async def authenticate(self, token: str) -> AuthResult:
        """Authenticate user with JWT token"""
        try:
            payload = jwt.decode(token, options={"verify_signature": False})
            user_info = await self.azure_ad_client.get_user_info(payload["sub"])
            return AuthResult(success=True, user=user_info)
        except Exception as e:
            return AuthResult(success=False, error=str(e))
    
    async def authorize(self, user: User, resource: str, action: str) -> bool:
        """Authorize user action on resource"""
        permissions = await self.get_user_permissions(user.id)
        return f"{resource}:{action}" in permissions

Authorization

Role-Based Access Control (RBAC): User and service roles Attribute-Based Access Control (ABAC): Fine-grained permissions Resource-Level Permissions: Granular access control

Permission Model:

class Permission(BaseModel):
    resource: str
    action: str
    conditions: Dict[str, Any]

class Role(BaseModel):
    name: str
    permissions: List[Permission]
    inherits_from: Optional[str]

class User(BaseModel):
    id: str
    email: str
    roles: List[str]
    attributes: Dict[str, Any]

Quality Gates

Performance Requirements

• API Response Time: < 200ms (95th percentile)
• Throughput: 10,000 requests/second per service
• Database: < 50ms query response time
• Availability: 99.9% uptime SLA

Security Requirements

• Authentication: All requests authenticated
• Authorization: Fine-grained permission checking
• Encryption: Data protected in transit and at rest
• Audit Logging: Complete activity tracking

Reliability Requirements

• Fault Tolerance: Circuit breakers and retries
• Disaster Recovery: Multi-region deployment
• Backup Strategy: Daily automated backups
• Recovery Time: < 15 minutes MTTR

Implementation Guidelines

Code Standards

1. Type Safety: Use type hints throughout
2. Error Handling: Comprehensive error handling
3. Logging: Structured logging with correlation IDs
4. Testing: Unit, integration, and E2E tests
5. Documentation: Comprehensive API documentation

Development Workflow

1. Feature Branch: Create feature branch from main
2. Development: Implement feature with tests
3. Code Review: Peer review and approval
4. Testing: Automated testing pipeline
5. Deployment: Automated deployment to staging
6. Production: Blue-green deployment to production

Monitoring and Observability

1. Metrics: Application and business metrics
2. Logging: Structured logging with correlation IDs
3. Tracing: Distributed tracing across services
4. Alerting: Proactive alerting on issues
5. Dashboards: Real-time monitoring dashboards

Next Steps

1. Review Blueprint: Understand the application architecture
2. Setup Development Environment: Get started with local development
3. Implement Core Services: Build the foundational services
4. Add Module Plugins: Extend functionality with modules
5. Deploy to Production: Deploy to production environment

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This blueprint provides the foundation for building robust, scalable, and maintainable intent-driven applications.