boc/iom/PLATFORM_ARCHITECTURE.md

# Platform Architecture Manifest

## Global Architecture Directive — Platform-Wide Propagation

> **The platform IS the product.**
> Apps, websites, APIs, and AI models are just interfaces to the same shared knowledge model and domain logic.

---

## Core Principles

### 1. Platform-First Principle

Nothing is allowed to exist as a local solution.

Every capability must become part of the shared platform architecture.

- If a new index is created, it must automatically become available everywhere that indexes are used
- If a new Reality Signal is introduced, every AI model, API, graph, sync process, database, analytics engine and UI must immediately understand that signal
- If GOID evolves, every consumer of GOID must evolve simultaneously
- If Decision Engine gains a capability, every client application must be able to consume it

**No duplicated logic. No parallel implementations. No isolated feature branches that redefine business logic.**

There shall only exist one canonical implementation of every concept.

### 2. Single Source of Truth

Every domain concept must have exactly one authoritative definition.

| Concept | Authority | Location |
|---|---|---|
| GOID | GOID Generator | `core/goid_generator.py` |
| Object Types | Taxonomy | `core/iom_taxonomy.json` |
| Reality Signals | Signal Engine | `reality_signals/reality_signals_engine.py` |
| Defect Codes | Defect Registry | `defect/defect_codes.py` |
| Index Definitions | Dynamic Index Builder | `reality_signals/semantic_graph.py` |
| Semantic Relationships | Semantic Graph | `reality_signals/semantic_graph.py` |
| Decision Models | Decision Engine | `decision_support/decision_engine.py` |
| Outcome Models | Outcome Engine | `decision_support/outcome_engine.py` |
| Confidence Models | Evidence Engine | `decision_support/outcome_engine.py` |
| Ownership Models | Ownership Graph | `decision_support/decision_graph.py` |

Every service consumes these shared definitions. No application owns its own copy.

### 3. Automatic Propagation

Every structural modification shall trigger automatic propagation across the ecosystem.

**Propagation includes:**
- APIs
- Documentation
- Database schemas
- Graph schemas
- AI prompts
- AI reasoning
- Search indexes
- Synchronization
- SDK generation
- Mobile models
- Web models
- Internal libraries
- Validation rules
- Event definitions
- Message contracts
- Monitoring
- Analytics
- Dashboards

**A feature is not considered complete until every dependent subsystem has been updated.**

### 4. Dependency Discovery

Before implementing any change, perform dependency analysis.

**Automatically identify:**
- Direct dependencies
- Indirect dependencies
- Downstream consumers
- Upstream producers
- AI dependencies
- Graph dependencies
- API dependencies
- Database dependencies
- Mobile dependencies
- Website dependencies
- Reporting dependencies

**Generate an impact map before implementation.**

### 5. Platform Consistency Validation

No deployment may proceed unless validation confirms:

- [ ] No stale schemas
- [ ] No duplicated logic
- [ ] No incompatible APIs
- [ ] No outdated prompts
- [ ] No orphaned indexes
- [ ] No missing synchronization
- [ ] No inconsistent semantic definitions
- [ ] No broken graph relationships
- [ ] No unsupported mobile features
- [ ] No documentation drift

### 6. Evolution Principle

The platform must evolve as a living system.

- Every improvement strengthens the entire ecosystem
- Every new capability becomes reusable everywhere
- Every observation improves every model
- Every deployment improves every application
- Every API exposes the same intelligence
- Every client consumes the same knowledge

---

## Platform Components

### Unified Intelligence Ecosystem

```
┌─────────────────────────────────────────────────────────────┐
│                    LANDVEX INTELLIGENCE PLATFORM             │
├─────────────────────────────────────────────────────────────┤
│                                                              │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐         │
│  │  quixzoom   │  │  landvex    │  │   admin     │         │
│  │   mobile    │  │   mobile    │  │   panel     │         │
│  └──────┬──────┘  └──────┬──────┘  └──────┬──────┘         │
│         │                │                │                 │
│  ┌──────┴────────────────┴────────────────┴──────┐         │
│  │              UNIFIED API LAYER                  │         │
│  │         (Single source of truth)                │         │
│  └──────────────────┬──────────────────────────────┘         │
│                     │                                        │
│  ┌──────────────────┴──────────────────────────────┐         │
│  │           PLATFORM CORE SERVICES                 │         │
│  │                                                  │         │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐           │         │
│  │  │   IOM   │ │  GOID   │ │ Taxonomy│           │         │
│  │  └─────────┘ └─────────┘ └─────────┘           │         │
│  │                                                  │         │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐           │         │
│  │  │Reality  │ │Semantic │ │Decision │           │         │
│  │  │Signals  │ │ Graph   │ │ Engine  │           │         │
│  │  └─────────┘ └─────────┘ └─────────┘           │         │
│  │                                                  │         │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐           │         │
│  │  │Outcome  │ │Evidence │ │Learning │           │         │
│  │  │ Engine  │ │ Engine  │ │ Graph   │           │         │
│  │  └─────────┘ └─────────┘ └─────────┘           │         │
│  │                                                  │         │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐           │         │
│  │  │Prediction│ │ Causal  │ │Simulation│          │         │
│  │  │ Engine  │ │ Engine  │ │ Engine  │           │         │
│  │  └─────────┘ └─────────┘ └─────────┘           │         │
│  │                                                  │         │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐           │         │
│  │  │ Reality │ │ Global  │ │ Transfer│           │         │
│  │  │  DNA    │ │ Reality │ │ Learning│           │         │
│  │  │         │ │  Model  │ │         │           │         │
│  │  └─────────┘ └─────────┘ └─────────┘           │         │
│  │                                                  │         │
│  └──────────────────────────────────────────────────┘         │
│                     │                                        │
│  ┌──────────────────┴──────────────────────────────┐         │
│  │              SHARED INFRASTRUCTURE               │         │
│  │                                                  │         │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐           │         │
│  │  │PostgreSQL│ │PostGIS  │ │  Redis  │           │         │
│  │  └─────────┘ └─────────┘ └─────────┘           │         │
│  │                                                  │         │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐           │         │
│  │  │Event Bus│ │Message  │ │  Sync   │           │         │
│  │  │         │ │ Queue   │ │ Engine  │           │         │
│  │  └─────────┘ └─────────┘ └─────────┘           │         │
│  │                                                  │         │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐           │         │
│  │  │  AI/ML  │ │ Image   │ │  NLP    │           │         │
│  │  │ Pipeline│ │ Analysis│ │ Engine  │           │         │
│  │  └─────────┘ └─────────┘ └─────────┘           │         │
│  │                                                  │         │
│  └──────────────────────────────────────────────────┘         │
│                                                               │
└───────────────────────────────────────────────────────────────┘
```

### Propagation Flow

```
Change in Core Concept
        │
        ▼
┌───────────────┐
│ Impact Analysis│
│  (auto-gen)    │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  Schema Update │
│  (PostgreSQL)  │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  API Update    │
│  (FastAPI)     │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  Graph Update  │
│  (Semantic)    │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  AI Update     │
│  (Prompts)     │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  Sync Update   │
│  (4 targets)   │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  Mobile Update │
│  (iOS/Android) │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  Web Update    │
│  (Dashboard)   │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  Doc Update    │
│  (Auto-gen)    │
└───────┬───────┘
        │
        ▼
┌───────────────┐
│  Validation    │
│  (Consistency) │
└───────┬───────┘
        │
        ▼
    DEPLOY
```

---

## Implementation

### Platform Propagation Engine

```python
# platform_propagation.py

class PlatformPropagationEngine:
    """
    Ensures every change propagates across the entire platform.
    No isolated implementations allowed.
    """
    
    def __init__(self):
        self.dependency_graph = DependencyGraph()
        self.schema_registry = SchemaRegistry()
        self.api_registry = APIRegistry()
        self.sync_registry = SyncRegistry()
        self.validation_engine = ValidationEngine()
    
    def propagate_change(self, change: PlatformChange) -> PropagationResult:
        """
        Propagate a change across the entire platform.
        """
        # 1. Impact Analysis
        impact = self.dependency_graph.analyze_impact(change)
        
        # 2. Schema Updates
        schema_updates = self.schema_registry.update(change, impact)
        
        # 3. API Updates
        api_updates = self.api_registry.update(change, impact)
        
        # 4. Graph Updates
        graph_updates = self.update_semantic_graph(change, impact)
        
        # 5. AI Updates
        ai_updates = self.update_ai_models(change, impact)
        
        # 6. Sync Updates
        sync_updates = self.sync_registry.update(change, impact)
        
        # 7. Validation
        validation = self.validation_engine.validate_all()
        
        return PropagationResult(
            change=change,
            impact=impact,
            updates=[schema_updates, api_updates, graph_updates, ai_updates, sync_updates],
            validation=validation,
            status="propagated" if validation.passed else "blocked"
        )
```

### Validation Rules

```python
# validation_rules.py

PLATFORM_VALIDATION_RULES = [
    # Schema Consistency
    "no_stale_schemas",
    "no_orphaned_indexes",
    "no_broken_relationships",
    
    # API Consistency
    "no_incompatible_apis",
    "no_missing_endpoints",
    "no_undocumented_changes",
    
    # AI Consistency
    "no_outdated_prompts",
    "no_unsupported_signals",
    "no_broken_reasoning",
    
    # Sync Consistency
    "no_missing_sync",
    "no_stale_targets",
    "no_broken_contracts",
    
    # Mobile Consistency
    "no_unsupported_features",
    "no_stale_models",
    "no_broken_serialization",
    
    # Documentation Consistency
    "no_documentation_drift",
    "no_missing_examples",
    "no_stale_diagrams"
]
```

---

## Deployment Policy

### Pre-Deployment Checklist

```
□ Impact analysis generated
□ Schema updates applied
□ API updates applied
□ Graph updates applied
□ AI model updates applied
□ Sync targets updated
□ Mobile models updated
□ Documentation updated
□ Validation passed
□ Rollback plan prepared
```

### Deployment Gates

```
1. Code Review (automated + human)
2. Impact Analysis (automated)
3. Schema Migration (automated)
4. API Compatibility (automated)
5. AI Model Validation (automated)
6. Sync Contract Validation (automated)
7. Integration Tests (automated)
8. Performance Tests (automated)
9. Security Scan (automated)
10. Final Approval (human)
```

---

## Long-Term Objective

**The objective is not to build individual applications.**

The objective is to build one continuously evolving global intelligence platform where every component shares the same ontology, the same semantic understanding, the same AI reasoning, the same data structures and the same architectural foundations.

**Every new customer strengthens the platform for all existing customers.**

**Every new observation improves the models for all locations.**

**Every new outcome improves the recommendations for all stakeholders.**

This is the path to **Autonomous Urban Intelligence**.