# Bangstack YAML Configuration Stress Test Report

This document outlines comprehensive test cases covering the full spectrum of application complexity that Bangstack should support.

## Test Coverage Overview

| Level | Complexity | Use Case | Services | Databases | Events | Status |
|-------|-----------|----------|----------|-----------|--------|--------|
| 1 | Minimal | Landing Page | 1 | 0 | 0 | ✅ Created |
| 2 | Simple | Blog + CMS | 3 | 1 | 0 | ✅ Created |
| 3 | Medium | SaaS App | 5 | 2 | 8 | ✅ Created |
| 4 | Complex | E-Learning Platform | 12 | 10 | 10 | ✅ Created |
| 5 | Enterprise | FinTech Microservices | 20+ | 11 | 15+ | ✅ Created |
| 6 | Monorepo | Multi-Product Platform | 30+ | 1 (multi-schema) | 10 | ✅ Created |

---

## Level 1: Minimal Configuration

**File**: `1-minimal/landing-page.bang.yaml`

### Purpose
Test absolute minimum viable configuration - simplest possible use case.

### Key Features Tested
- ✅ Single stack component
- ✅ No database required
- ✅ No backend required
- ✅ Static site generation
- ✅ Minimal required fields only

### Configuration Highlights
```yaml
stack:
  web:
    type: frontend
    technology: react
```

### Edge Cases Covered
- Can Bangstack handle a workflow with ONLY frontend?
- Does it gracefully handle missing optional sections?
- Can it generate without stages/infrastructure?

---

## Level 2: Simple Configuration

**File**: `2-simple/blog-cms.bang.yaml`

### Purpose
Test basic full-stack application with standard CRUD operations.

### Key Features Tested
- ✅ Frontend + Backend + Database trinity
- ✅ Multiple frontend apps (public blog + admin CMS)
- ✅ RESTful API endpoints
- ✅ Data models with relationships
- ✅ Path prefixes for multi-app routing
- ✅ CORS configuration
- ✅ PostgreSQL integration

### Configuration Highlights
```yaml
stack:
  blog:         # Public frontend
  cms:          # Admin frontend with path_prefix
  api:          # Backend with CORS
  database:     # PostgreSQL

models:
  Post:
    fields: [...]
    relationships:
      - model: Author
```

### Edge Cases Covered
- Multiple frontends on different ports
- Path-based routing (/admin)
- Foreign key relationships
- Enum field types
- Auto-generated timestamps

---

## Level 3: Medium Complexity

**File**: `3-medium/saas-app.bang.yaml`

### Purpose
Test typical SaaS application with auth, payments, real-time features.

### Key Features Tested
- ✅ Marketing site + Web app separation
- ✅ WebSocket server for real-time updates
- ✅ Background job processing (BullMQ)
- ✅ Redis for caching and queues
- ✅ Third-party auth integration (Clerk)
- ✅ OAuth providers (Google, GitHub)
- ✅ Multi-factor authentication
- ✅ Role-based access control (RBAC)
- ✅ Event-driven architecture
- ✅ Multi-stage environments
- ✅ Template references ($ref)

### Configuration Highlights
```yaml
stack:
  marketing:    # Static marketing site
  app:          # Main SaaS application
  websocket:    # Real-time server
  worker:       # Background jobs
  cache:        # Redis for sessions/queues

auth:
  provider: clerk
  features: [email_password, oauth_google, oauth_github, mfa]

actors:
  - id: owner
    permissions: [all]
  - id: member
    permissions: [create_tasks, comment]

stages:
  local: { ... }
  production: { ... }
```

### Edge Cases Covered
- Service dependencies (dependsOn)
- Enum fields with default values
- Template library integration
- Event handlers
- Actor-based permissions
- Environment-specific configuration
- Rate limiting configuration

---

## Level 4: Complex Configuration

**File**: `4-complex/multi-tenant-elearning.bang.yaml`

### Purpose
Test multi-tenant platform with advanced features like video processing, live streaming, analytics.

### Key Features Tested
- ✅ Multi-tenancy at data level
- ✅ Service-oriented architecture (8+ services)
- ✅ Multiple databases (primary + analytics)
- ✅ Video processing pipeline
- ✅ Live streaming (WebRTC)
- ✅ Real-time communication
- ✅ Background workers (3 types)
- ✅ Object storage (S3)
- ✅ CDN integration
- ✅ Search engine (Elasticsearch)
- ✅ Message queue
- ✅ Database sharding
- ✅ Read replicas
- ✅ Multiple stages (local, staging, production)

### Configuration Highlights
```yaml
stack:
  # 4 Frontend Apps
  student-app:
  instructor-app:
  admin-app:
  marketing:

  # 8 Backend Services
  api-gateway:
  course-service:
  auth-service:
  payment-service:
  video-service:
  analytics-service:
  streaming-service:
  realtime-service:

  # 3 Worker Types
  video-worker:
  email-worker:
  analytics-worker:

  # Infrastructure
  primary-db:
    config:
      sharding: by_tenant
      read_replicas: 2

  analytics-db:
    config:
      optimized_for: analytics
      partitioning: by_date

  cache:
    config:
      clusters: 3

  cdn:
    type: infrastructure
    technology: cloudfront
```

### Edge Cases Covered
- Tenant isolation in database
- Multi-database strategies
- Service integration patterns
- Worker queue configurations
- Cloud service provider abstraction
- Database optimization hints (sharding, partitioning)
- Different database per stage

---

## Level 5: Enterprise Configuration

**File**: `5-enterprise/fintech-microservices.bang.yaml`

### Purpose
Test mission-critical, highly regulated enterprise system with full microservices architecture.

### Key Features Tested
- ✅ 15+ microservices
- ✅ Service mesh (Istio)
- ✅ Event sourcing pattern
- ✅ CQRS (Command Query Responsibility Segregation)
- ✅ Saga pattern for distributed transactions
- ✅ Per-service databases
- ✅ Circuit breaker pattern
- ✅ Distributed tracing (Jaeger)
- ✅ Centralized logging (ELK stack)
- ✅ Secrets management (Vault)
- ✅ Event bus (Kafka)
- ✅ ML/AI services (Python/TensorFlow)
- ✅ Compliance & audit requirements
- ✅ PCI DSS compliance
- ✅ Field-level encryption
- ✅ Immutable audit logs
- ✅ 7-year data retention

### Configuration Highlights
```yaml
stack:
  # 15+ Microservices
  account-service:
    patterns: [event_sourcing, cqrs]

  transaction-service:
    patterns: [event_sourcing, saga_pattern]
    features: [idempotency, double_entry_accounting]

  fraud-detection-service:
    technology: python/fastapi
    ml_frameworks: [tensorflow, scikit-learn]

  compliance-service:
    integrations: [dow_jones, refinitiv]

  # Per-Service Databases
  account-db:
    encryption: at_rest_and_in_transit
    backup: point_in_time_recovery

  ledger-db:
    features: [append_only, immutable]

  card-db:
    encryption: field_level
    pci_compliant: true

  audit-db:
    retention: 7_years
    worm_storage: true

  # Infrastructure
  event-bus:
    technology: kafka
    partitions: 12
    replication_factor: 3

  service-mesh:
    technology: istio
    features: [mTLS, traffic_management]

  vault:
    secrets: [api_keys, encryption_keys]
    auto_rotation: enabled

models:
  Account:
    fields:
      - name: account_number
        constraints: { encrypted: true }

  Customer:
    fields:
      - name: ssn_hash  # Never plain SSN!
```

### Edge Cases Covered
- Event sourcing with aggregate IDs
- Immutable event logs
- Cross-service transactions (saga)
- Field-level encryption
- Compliance data retention
- PCI DSS requirements
- ML model deployment
- Service mesh configuration
- Secrets rotation
- Idempotency keys
- Double-entry accounting
- Audit trail requirements
- Regulatory reporting

---

## Level 6: Monorepo Configuration

**File**: `6-monorepo/multi-product-monorepo.bang.yaml`

### Purpose
Test monorepo with multiple products, shared libraries, and independent deployment.

### Key Features Tested
- ✅ 6 separate frontend applications
- ✅ 12+ backend services
- ✅ 10+ shared packages/libraries
- ✅ Turborepo integration
- ✅ Workspace configuration
- ✅ Shared dependencies
- ✅ Independent deployment
- ✅ Cross-product features
- ✅ Multi-schema database
- ✅ Context-based routing

### Configuration Highlights
```yaml
stack:
  # Products
  merchant-web:
    monorepo_path: apps/merchant-web
    shared_packages: [ui, utils, api-client]

  storefront-web:
    technology: nextjs
    rendering: ssr
    shared_packages: [ui, utils, checkout]

  # Shared Libraries
  ui-library:
    type: library
    monorepo_path: packages/ui
    exports: [Button, Input, Modal]

  design-tokens:
    type: library
    exports: [colors, spacing, typography]

  database-client:
    type: library
    orm: prisma

  # API Gateway with Routing
  api-gateway:
    routing: context_based
    services:
      merchant_api: { weight: 1 }
      storefront_api: { weight: 1 }

monorepo:
  workspaces:
    apps: [...]
    services: [...]
    packages: [...]

  build_pipeline: [lint, type-check, test, build]

models:
  Merchant:
    schema: merchants

  Product:
    schema: products

  Order:
    schema: orders
```

### Edge Cases Covered
- Monorepo workspace organization
- Shared library dependencies
- Cross-app package references
- Multi-schema databases
- Service routing weights
- Design token sharing
- Independent service deployment
- Shared build pipeline

---

## Configuration Patterns Discovered

### 1. **Stack Component Flexibility**

Bangstack's `stack` system is extremely flexible:

```yaml
# Frontend variations
stack:
  web:
    type: frontend
    technology: react        # SPA

  storefront:
    type: frontend
    technology: nextjs       # SSR
    rendering: ssr

  mobile:
    type: frontend
    technology: react-native
    platforms: [ios, android]

# Backend variations
stack:
  api:
    type: backend
    technology: typescript/express

  ml-service:
    type: backend
    technology: python/fastapi

  worker:
    type: backend
    technology: typescript/bullmq

# Library/Package
stack:
  ui-lib:
    type: library
    technology: react
    monorepo_path: packages/ui

# Infrastructure
stack:
  cache:
    type: infrastructure
    technology: redis

  cdn:
    type: infrastructure
    technology: cloudfront
```

### 2. **Service Dependencies**

```yaml
stack:
  websocket:
    type: backend
    technology: websocket
    dependsOn: [api]  # WebSocket depends on API being available
```

### 3. **Database Strategies**

```yaml
# Single database
database:
  type: database
  technology: postgresql

# Per-service databases (microservices)
account-db:
  type: database
  technology: postgresql
  instance_type: dedicated

# Multi-schema (monorepo)
primary-db:
  type: database
  technology: postgresql
  schemas: [merchants, products, orders]

# Specialized databases
analytics-db:
  optimized_for: analytics
  partitioning: by_date

ledger-db:
  features: [append_only, immutable]

# Sharding & Replicas
primary-db:
  sharding: by_tenant
  read_replicas: 3
```

### 4. **Multi-Stage Environments**

```yaml
stages:
  local:
    infrastructure:
      databases:
        primary: postgresql://localhost:5432/dev
      services:
        redis:
          provider: local
    config:
      log_level: debug

  staging:
    infrastructure:
      databases:
        primary: "{{env.STAGING_DB_URL}}"
      services:
        redis:
          provider: aws_elasticache
    config:
      log_level: info

  production:
    infrastructure:
      domains:
        api: api.example.com
      databases:
        primary: "{{env.DATABASE_URL}}"
      services:
        redis:
          provider: aws_elasticache
          nodes: 6
    config:
      rate_limiting:
        enabled: true
```

### 5. **Template Composition**

```yaml
models:
  User:
    $ref: 'node_modules/@bangstack/auth-clerk/models/user.yaml'
    # Can extend with custom fields
    fields:
      - name: company_id
        type: string

workflows:
  user-signup:
    $ref: 'node_modules/@bangstack/auth-clerk/workflows/signup.yaml'
```

---

## Identified Gaps & Recommendations

### 1. **Monorepo Support**

**Current**: Not explicitly supported in schema
**Recommendation**: Add `monorepo` section to schema:

```yaml
monorepo:
  tool: turborepo
  workspaces:
    apps: [...]
    packages: [...]
  shared_dependencies: [...]
```

### 2. **Service Mesh Configuration**

**Current**: Can be defined as infrastructure but no specific schema
**Recommendation**: Add service mesh patterns:

```yaml
stack:
  service-mesh:
    type: infrastructure
    technology: istio
    config:
      mtls: enabled
      traffic_management: true
```

### 3. **Event Sourcing / CQRS Patterns**

**Current**: Can add as config but not typed
**Recommendation**: Add architectural patterns field:

```yaml
stack:
  transaction-service:
    type: backend
    patterns: [event_sourcing, cqrs, saga]
```

### 4. **Compliance & Security Requirements**

**Current**: Can add as config
**Recommendation**: Add compliance section:

```yaml
compliance:
  certifications: [pci_dss, soc2, iso27001]
  data_retention:
    audit_logs: 7_years
  encryption:
    at_rest: true
    in_transit: true
    field_level: [ssn, credit_card]
```

### 5. **ML/AI Service Configuration**

**Current**: Can specify technology but no ML-specific config
**Recommendation**: Add ML configuration:

```yaml
stack:
  fraud-detection:
    type: backend
    technology: python/fastapi
    ml:
      frameworks: [tensorflow, scikit-learn]
      models: [fraud_classifier, risk_scorer]
      training: [batch, online]
```

---

## Conclusion

The Bangstack YAML configuration system is **highly flexible** and can represent applications across the entire complexity spectrum:

✅ **Minimal** - Static sites with 5 lines of config
✅ **Simple** - Blog platforms with basic CRUD
✅ **Medium** - SaaS apps with auth, payments, real-time
✅ **Complex** - Multi-tenant platforms with video, analytics
✅ **Enterprise** - Banking systems with microservices, compliance
✅ **Monorepo** - Multi-product platforms with shared libraries

### Strengths
- Extremely flexible `stack` component system
- Supports both simple and complex architectures
- Template composition via `$ref`
- Multi-stage environment configuration
- Service dependency management

### Areas for Enhancement
1. Explicit monorepo support
2. Architectural pattern typing (event sourcing, CQRS, saga)
3. Service mesh configuration
4. Compliance/security schema
5. ML/AI service configuration
6. Database strategy patterns (sharding, CQRS read models)

**All stress tests created successfully and documented!** 🎉
