System Specifications (Kiro-Style)
Comprehensive specifications for AltSportsLeagues.ai platform components, following the Kiro specification methodology with EARS notation for clear, testable requirements.
Specification Methodology
We use Kiro-style specifications to define system behavior:
EARS Notation (Easy Approach to Requirements Syntax):
WHEN- Trigger conditionTHE [Component]- System componentSHALL- Mandatory requirementSHOULD- Recommended behaviorMAY- Optional capability
Core Specifications
Data Layer and Schema Registry
Purpose: Centralized, type-safe schema system with 150+ Pydantic v2 models across 7 domains.
Key Requirements
| ID | Requirement | Priority |
|---|---|---|
| DL-1 | WHEN the system starts, THE Schema_Registry SHALL load all 150+ Pydantic models | P0 |
| DL-2 | WHEN schemas are accessed, THE Registry SHALL provide type-safe imports with IDE autocomplete | P0 |
| DL-3 | WHEN TypeScript generation runs, THE Generator SHALL create .ts interfaces with exact type mapping | P1 |
| DL-4 | WHEN schemas change, THE Versioning system SHALL detect breaking vs non-breaking changes | P1 |
| DL-5 | WHEN fixtures are requested, THE Test_Fixtures SHALL provide factory methods for all schemas | P1 |
Success Metrics
- Type Safety: 100% mypy/pyright coverage
- Validation Speed: Under 1ms per model (Pydantic v2)
- Test Coverage: 95%+ for all schema modules
- Documentation: 100% schemas with docstrings
Integration Framework
Purpose: Unified integration layer connecting 15+ external services with resilience patterns.
Key Requirements
| ID | Requirement | Priority |
|---|---|---|
| IF-1 | WHEN sports data is requested, THE Integration_Hub SHALL route to appropriate provider | P0 |
| IF-2 | WHEN rate limits are approached (80%), THE Rate_Limiter SHALL alert and throttle | P0 |
| IF-3 | WHEN API errors exceed threshold, THE Circuit_Breaker SHALL open and return cached data | P0 |
| IF-4 | WHEN webhooks arrive, THE Webhook_Manager SHALL verify signatures and validate payloads | P0 |
| IF-5 | WHEN data is received, THE Schema_Transformer SHALL normalize to internal Pydantic models | P1 |
Success Metrics
- Reliability: 99.9% uptime with circuit breakers
- Performance: Under 500ms p95 latency
- Rate Compliance: Zero quota violations
- Coverage: 15+ external APIs integrated
League Onboarding Pipeline
Purpose: 4-stage pipeline for league partner acquisition and integration.
| Stage | Components |
|---|---|
| Discovery | Email/Form Intake, PDF Processing, Data Extraction |
| Classification | AI Analysis, Tier Scoring, Risk Assessment |
| Contract | Term Generation, Pricing Calculation, Document Assembly |
| Integration | API Setup, Data Pipeline, Monitoring |
Specification Locations
| Domain | Location | Status |
|---|---|---|
| Frontend Platform | clients/frontend/.kiro/specs/intelligent-frontend-platform/ | Complete |
| Integration Framework | clients/frontend/.kiro/specs/integration-framework/ | Complete |
| Data Layer Registry | clients/frontend/.kiro/specs/data-layer-registry/ | Complete |
Contributing Specifications
When adding new features:
- Create spec directory: .kiro/specs/feature-name/
- Write requirements.md with EARS notation
- Create design.md with architecture diagrams
- Define tasks.md for implementation steps
- Update this documentation page
Related Documentation
- System Architecture Overview - Visual architecture diagrams
- Schema Registry - Data model documentation
- API Reference - Endpoint specifications