# FraiseQL v1 - Production Rebuild Vision

**Goal**: Production-ready Python GraphQL framework for adoption at scale
**Strategy**: Clean rebuild from scratch with enterprise features
**Timeline**: 12-15 weeks to v1.0 production release
**Status**: Planning complete, ready for implementation

---

## 🎯 Vision: Production-Ready from Day 1

### **Why Rebuild (Not Evolve)?**

**v0 Reality**:
- 50,000+ LOC with accumulated complexity
- Feature bloat (2 caching systems, multiple monitoring approaches)
- Hard to maintain and extend
- Difficult for new contributors

**v1 Approach**:
- Start fresh with lessons learned
- ~8,000-10,000 LOC (80% reduction)
- Clean architecture from day 1
- Production features built-in, not bolted-on
- Enterprise-ready out of the box

**Target Users**: Production teams needing high-performance GraphQL APIs

---

## 🏗️ Core Architecture (Production-Grade)

### **Pattern 1: Trinity Identifiers** (DEFAULT)

Fast performance + secure APIs + human-friendly URLs:

```sql
-- Command Side
CREATE TABLE tb_user (
    pk_user SERIAL PRIMARY KEY,           -- Fast INT joins (10x faster)
    fk_organisation INT NOT NULL,         -- Fast foreign keys
    id UUID DEFAULT gen_random_uuid() UNIQUE NOT NULL,  -- Public API
    identifier TEXT UNIQUE NOT NULL,      -- Human-readable (username)
    name TEXT NOT NULL,
    email TEXT UNIQUE NOT NULL,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

-- Query Side
CREATE TABLE tv_user (
    id UUID PRIMARY KEY,
    identifier TEXT UNIQUE NOT NULL,
    data JSONB NOT NULL,
    updated_at TIMESTAMPTZ DEFAULT NOW()
);
```

**Benefits**:
- 10x faster database joins (SERIAL vs UUID)
- Secure public API (UUID doesn't leak count)
- SEO-friendly URLs (slugs/usernames)
- Clean GraphQL schema (just "id")

---

### **Pattern 2: Mutations as PostgreSQL Functions** (DEFAULT)

All business logic in database for reusability and atomicity:

```sql
CREATE FUNCTION fn_create_user(
    p_organisation_identifier TEXT,
    p_identifier TEXT,
    p_name TEXT,
    p_email TEXT
) RETURNS UUID AS $$
DECLARE
    v_fk_organisation INT;
    v_id UUID;
BEGIN
    -- Validation, transaction, sync - all in one place
    SELECT pk_organisation INTO v_fk_organisation
    FROM tb_organisation WHERE identifier = p_organisation_identifier;

    IF NOT FOUND THEN
        RAISE EXCEPTION 'Organisation not found';
    END IF;

    -- Email validation
    IF p_email !~ '^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}$' THEN
        RAISE EXCEPTION 'Invalid email format';
    END IF;

    -- Insert
    INSERT INTO tb_user (fk_organisation, identifier, name, email)
    VALUES (v_fk_organisation, p_identifier, p_name, p_email)
    RETURNING id INTO v_id;

    -- Explicit sync
    PERFORM fn_sync_tv_user(v_id);

    RETURN v_id;
END;
$$ LANGUAGE plpgsql;
```

Python becomes a thin wrapper:
```python
@mutation
async def create_user(info, organisation: str, identifier: str, name: str, email: str) -> User:
    db = info.context["db"]
    id = await db.fetchval("SELECT fn_create_user($1, $2, $3, $4)", organisation, identifier, name, email)
    return await QueryRepository(db).find_one("tv_user", id=id)
```

**Benefits**:
- Reusable (psql, cron, other services)
- Testable in SQL (pgTAP)
- Automatic transactions (ACID guarantees)
- Single round-trip (fast)
- Versioned with migrations

---

### **Pattern 3: CQRS with Rust Acceleration**

**Command Side** (`tb_*`): Normalized, fast writes
**Query Side** (`tv_*`): Denormalized JSONB, fast reads (40x speedup with Rust)

```python
# Transparent Rust transformation
result = await query_repo.find_one("tv_user", id=user_id)
# ↑ Rust handles: snake_case → camelCase, field selection, type coercion
# 0.1ms vs Python 4ms (40x faster!)
```

---

## 📦 V1 Scope: Core + Enterprise Features

### **Phase 1: Core Framework** (Weeks 1-6)

**Essential Components** (~4,000 LOC):

1. **Type System** (800 LOC)
   - `@type`, `@input`, `@field` decorators
   - Custom scalars (UUID, DateTime, CIDR, LTree, etc.)
   - GraphQL schema generation

2. **CQRS Repositories** (900 LOC)
   - CommandRepository (write operations)
   - QueryRepository (read operations with Trinity support)
   - Sync functions (explicit, no triggers)
   - WHERE clause builder (JSONB-aware)

3. **Decorators & Schema** (700 LOC)
   - `@query`, `@mutation`, `@subscription`
   - Auto-registration
   - Schema builder (Python → GraphQL types)

4. **Rust Transformer** (500 LOC Python + Rust)
   - JSON transformation (40x speedup)
   - Field selection
   - Type coercion
   - Graceful fallback

5. **FastAPI Integration** (600 LOC)
   - GraphQL endpoint
   - Context management
   - Error handling
   - CORS support

6. **Error Tracking** (500 LOC)
   - Structured error logging
   - PostgreSQL error table
   - Error categorization (user/system/unexpected)
   - Query error context

**Total Core**: ~4,000 LOC

---

### **Phase 2: Enterprise Features** (Weeks 7-10)

**Production Essentials** (~2,500 LOC):

1. **Confiture Integration** (600 LOC)
   - Database migration system
   - GraphQL schema → DDL generation
   - Build from scratch (< 1s)
   - Schema diff and auto-migrations

2. **Row-Level Security Helpers** (500 LOC)
   - RLS policy generators
   - `@require_rls` decorator
   - Multi-tenant patterns
   - Tenant isolation helpers

3. **OpenTelemetry Full Integration** (600 LOC)
   - Auto-instrumentation
   - Context propagation
   - Span enrichment
   - Trace correlation

4. **Grafana Dashboards** (400 LOC + 5 JSON files)
   - Pre-built production dashboards
   - Import automation
   - Query performance monitoring
   - Error rate tracking
   - Cache hit rates

5. **Cache Invalidation** (400 LOC)
   - Event-driven clearing
   - Trigger-based invalidation (optional)
   - Cache key management
   - TTL strategies

**Total Enterprise**: ~2,500 LOC

---

### **Phase 3: Developer Experience** (Weeks 11-13)

**Productivity Tools** (~2,000 LOC):

1. **CLI Scaffolding** (800 LOC)
   - `fraiseql generate model` - CRUD scaffolding
   - `fraiseql generate resolver` - Query/mutation templates
   - `fraiseql generate migration` - Wraps Confiture
   - `fraiseql init` - Project setup

2. **TypeScript Generation** (700 LOC)
   - Complete type generation from GraphQL schema
   - React hooks (optional)
   - Type-safe query builders
   - Auto-sync on schema changes

3. **Advanced Mutation Patterns** (500 LOC)
   - Batch operations
   - Optimistic locking
   - Saga patterns
   - Compensation logic

**Total DX**: ~2,000 LOC

---

### **Phase 4: Documentation & Examples** (Weeks 14-15)

**Production-Ready Resources**:

1. **Complete Documentation** (~6,000 lines)
   - Philosophy docs (why FraiseQL)
   - Architecture guides
   - API reference
   - Deployment guides
   - Troubleshooting

2. **Production Examples** (3 apps)
   - Multi-tenant SaaS (with RLS)
   - Event sourcing example
   - Real-time chat (subscriptions)

3. **Benchmarks & Performance**
   - vs Strawberry, Graphene, PostGraphile, Hasura
   - Real-world scenarios
   - CI integration
   - Performance regression tests

**Total**: ~8,000-10,000 LOC framework + 6,000 lines docs

---

## 📅 15-Week Production Timeline

### **Weeks 1-2: Foundation & Documentation**
**Objective**: Philosophy and architecture documentation

**Deliverables**:
- [ ] WHY_FRAISEQL.md (problem/solution/benchmarks)
- [ ] CQRS_FIRST.md (database-level CQRS)
- [ ] MUTATIONS_AS_FUNCTIONS.md (PostgreSQL functions)
- [ ] RUST_ACCELERATION.md (40x speedup)
- [ ] ARCHITECTURE.md (complete system design)
- [ ] NAMING_CONVENTIONS.md (Trinity identifiers)

**Outcome**: Clear architectural narrative for production teams

---

### **Weeks 3-4: Core Type System**
**Objective**: Clean, production-grade type system

**Implementation**:
- [ ] Type System (`types/`) - 800 LOC
  - `@type` decorator with full GraphQL spec support
  - `@input` decorator for mutations
  - Custom scalars (port from v0, simplify)
  - Type registry
- [ ] Schema Generation (`gql/`) - 400 LOC
  - Python → GraphQL type mapping
  - Schema builder
  - Introspection support
- [ ] Tests: 100+ unit tests

**Deliverable**: v0.1.0 - Can define types and generate schema

---

### **Weeks 5-6: CQRS Repositories**
**Objective**: Command/Query separation with Trinity support

**Implementation**:
- [ ] CommandRepository - 300 LOC
  - PostgreSQL function calls
  - Transaction support
- [ ] QueryRepository - 400 LOC
  - Read from tv_* views
  - Trinity identifier support (id + identifier)
  - Pagination (cursor-based)
- [ ] WHERE Builder - 500 LOC
  - JSONB-aware operators
  - Type-safe filters
- [ ] Sync Functions - 200 LOC
  - Explicit sync helpers
  - Batch operations
- [ ] Tests: 150+ integration tests

**Deliverable**: v0.2.0 - Full CQRS working end-to-end

---

### **Weeks 6-7: Decorators & FastAPI**
**Objective**: Complete GraphQL endpoint

**Implementation**:
- [ ] Decorators - 300 LOC
  - `@query`, `@mutation`, `@subscription`
  - Auto-registration
- [ ] FastAPI Integration - 600 LOC
  - GraphQL endpoint
  - Context management
  - Error handling
  - CORS
- [ ] Error Tracking - 500 LOC
  - PostgreSQL error logging
  - Categorization
  - Query context
- [ ] Tests: 100+ endpoint tests

**Deliverable**: v0.3.0 - Working GraphQL API

---

### **Weeks 7-8: Rust Integration**
**Objective**: 40x performance boost

**Implementation**:
- [ ] Rust Transformer - 500 LOC (Python + Rust)
  - JSON transformation
  - Field selection
  - Type coercion
  - Graceful fallback
- [ ] Performance Benchmarks
  - Rust vs Python comparison
  - vs Strawberry benchmark
  - vs Graphene benchmark
  - Document 40x speedup
- [ ] Tests: 50+ transformation tests

**Deliverable**: v0.4.0 - Sub-1ms queries proven

---

### **Weeks 9-10: Confiture Integration**
**Objective**: Best-in-class database migrations

**Implementation**:
- [ ] Confiture Integration - 600 LOC
  - GraphQL schema → DDL generation
  - CLI wrapper commands
  - Migration helpers
- [ ] Documentation
  - Migration workflows
  - Schema sync guide
- [ ] Tests: 30+ migration tests

**Deliverable**: v0.5.0 - Production migration system

---

### **Weeks 11: Enterprise Features**
**Objective**: Production-critical features

**Implementation**:
- [ ] Row-Level Security - 500 LOC
  - RLS policy generators
  - `@require_rls` decorator
  - Multi-tenant helpers
- [ ] OpenTelemetry - 600 LOC
  - Auto-instrumentation
  - Context propagation
  - Span enrichment
- [ ] Tests: 80+ security & observability tests

**Deliverable**: v0.6.0 - Enterprise security & observability

---

### **Week 12: Monitoring**
**Objective**: Production observability

**Implementation**:
- [ ] Grafana Dashboards - 400 LOC + 5 JSONs
  - Query performance dashboard
  - Error tracking dashboard
  - Cache metrics dashboard
  - System health dashboard
  - Custom metrics dashboard
- [ ] Cache Invalidation - 400 LOC
  - Event-driven clearing
  - Cache key management
  - TTL strategies
- [ ] Tests: 40+ monitoring tests

**Deliverable**: v0.7.0 - Production observability complete

---

### **Week 13: Developer Experience**
**Objective**: Productivity tools

**Implementation**:
- [ ] CLI Scaffolding - 800 LOC
  - Generate models, resolvers, migrations
  - Project init
- [ ] TypeScript Generation - 700 LOC
  - Complete type generation
  - React hooks
- [ ] Advanced Mutations - 500 LOC
  - Batch, locking, sagas
- [ ] Tests: 60+ CLI & codegen tests

**Deliverable**: v0.8.0 - Developer productivity tools

---

### **Weeks 14-15: Production Examples & Documentation**
**Objective**: Production-ready launch

**Implementation**:
- [ ] Multi-tenant SaaS Example
  - RLS policies
  - Tenant isolation
  - Complete CRUD
- [ ] Event Sourcing Example
  - Event store
  - Projections
  - CQRS patterns
- [ ] Real-time Chat Example
  - Subscriptions
  - PostgreSQL NOTIFY
  - WebSocket
- [ ] Complete Documentation
  - API reference
  - Deployment guides
  - Troubleshooting
  - Performance tuning
- [ ] Benchmark Suite
  - CI integration
  - Regression tests
  - Comparison charts

**Deliverable**: v1.0.0 - Production release!

---

## 🎯 Production Success Criteria

### **Performance**
- [ ] < 1ms query latency (P95)
- [ ] 40x speedup vs traditional frameworks (benchmarked)
- [ ] 100K+ queries/sec on standard hardware
- [ ] Sub-100ms P99 latency under load

### **Reliability**
- [ ] 100% test coverage on core
- [ ] Zero known critical bugs
- [ ] RLS enabled for multi-tenant
- [ ] Comprehensive error tracking

### **Scalability**
- [ ] Horizontal scaling (stateless)
- [ ] Database connection pooling
- [ ] Proper cache invalidation
- [ ] Load tested to 1M+ QPS

### **Observability**
- [ ] OpenTelemetry integrated
- [ ] 5 Grafana dashboards
- [ ] Structured logging
- [ ] Error categorization

### **Developer Experience**
- [ ] Zero-config quick start
- [ ] CLI scaffolding tools
- [ ] TypeScript type generation
- [ ] 3 production examples
- [ ] Complete API documentation

### **Production Readiness**
- [ ] Kubernetes manifests
- [ ] Docker compose setup
- [ ] Environment configuration
- [ ] Security best practices
- [ ] Migration strategies
- [ ] Deployment guides

---

## 🚀 Getting Started (Week 1)

### **Today: Set Up Project**

```bash
cd ~/code/fraiseql_v1
git init
```

### **Week 1-2: Write Philosophy Docs**

Start with the "why" before the "how":

1. **docs/philosophy/WHY_FRAISEQL.md** (Day 1-2)
   - The problem (GraphQL performance in Python)
   - Root causes (N+1, overhead, serialization)
   - The solution (CQRS + Rust + Trinity)
   - Performance results (benchmarks)
   - When to use for production

2. **docs/philosophy/CQRS_FIRST.md** (Day 3-4)
   - Database-level CQRS
   - Trinity identifiers pattern
   - Command/query separation
   - Production benefits

3. **docs/philosophy/MUTATIONS_AS_FUNCTIONS.md** (Day 5-6)
   - PostgreSQL functions for business logic
   - Reusability and testability
   - Production patterns

4. **docs/philosophy/RUST_ACCELERATION.md** (Day 7)
   - Performance bottleneck analysis
   - 40x speedup justification
   - Production performance requirements

5. **docs/architecture/OVERVIEW.md** (Week 2)
   - Complete system architecture
   - Production deployment
   - Scaling strategies

---

## 📊 Competitive Positioning (Production Focus)

### **vs Strawberry**
- ✅ 40x faster (Rust)
- ✅ Built-in CQRS (vs manual DataLoaders)
- ✅ Enterprise features (RLS, OpenTelemetry, Grafana)
- ✅ Production migrations (Confiture)
- ❌ Smaller ecosystem (for now)

### **vs Graphene**
- ✅ Modern async/await
- ✅ Database-first (vs ORM)
- ✅ Sub-1ms queries
- ✅ Production observability built-in
- ❌ Less mature (new framework)

### **vs PostGraphile**
- ✅ Python ecosystem (not Node.js)
- ✅ Explicit schema (full control)
- ✅ Rust acceleration
- ✅ Enterprise features included
- ❌ Manual schema definition (vs auto-generated)

### **vs Hasura**
- ✅ Python code (vs config)
- ✅ Full control over logic
- ✅ Lighter weight
- ✅ Self-hosted (no vendor lock-in)
- ❌ More setup required

**Unique Value**: "Production-ready Python GraphQL with sub-1ms queries, enterprise features, and database-first architecture"

---

## 🎓 Production Patterns Demonstrated

This rebuild shows mastery of:

1. **CQRS Architecture** - Database-level separation
2. **Performance Engineering** - Rust integration, Trinity identifiers
3. **Stored Procedures** - PostgreSQL functions for business logic
4. **Database Design** - 10x faster joins, secure APIs
5. **Observability** - OpenTelemetry, Grafana, error tracking
6. **Security** - Row-level security, multi-tenancy
7. **DevOps** - Migrations, CI/CD, deployment
8. **API Design** - Clean, intuitive, production-grade

**Target Users**: Production engineering teams at scale

---

## 💡 Key Design Decisions

### **Why Clean Rebuild?**
- v0 has 50K LOC with accumulated debt
- Fresh start = clean architecture
- 80% reduction in code (10K vs 50K)
- Production features designed-in, not bolted-on

### **Why Trinity Identifiers?**
- 10x faster joins (SERIAL vs UUID)
- Secure public API (UUID)
- Human-friendly (slugs)
- Production requirement for scale

### **Why PostgreSQL Functions?**
- Reusable across clients
- Atomic transactions
- Testable in SQL
- Production reliability

### **Why Rust?**
- 40x speedup on critical path
- Production performance requirement
- Graceful degradation

### **Why These Enterprise Features?**
- **RLS**: Multi-tenant SaaS requirement
- **OpenTelemetry**: Production debugging
- **Grafana**: Operations visibility
- **Confiture**: Zero-downtime migrations

---

## 📚 Documentation Structure

```
docs/
├── philosophy/           # Why FraiseQL (for decision-makers)
│   ├── WHY_FRAISEQL.md
│   ├── CQRS_FIRST.md
│   ├── MUTATIONS_AS_FUNCTIONS.md
│   └── RUST_ACCELERATION.md
├── architecture/         # System design (for architects)
│   ├── OVERVIEW.md
│   ├── NAMING_CONVENTIONS.md
│   ├── COMMAND_QUERY_SEPARATION.md
│   ├── SYNC_STRATEGIES.md
│   └── SECURITY_MODEL.md
├── guides/              # How-to (for developers)
│   ├── QUICK_START.md
│   ├── DATABASE_SETUP.md
│   ├── WRITING_QUERIES.md
│   ├── WRITING_MUTATIONS.md
│   ├── MULTI_TENANCY.md
│   └── PERFORMANCE_TUNING.md
├── deployment/          # Production (for ops)
│   ├── KUBERNETES.md
│   ├── DOCKER.md
│   ├── MIGRATIONS.md
│   ├── MONITORING.md
│   └── SCALING.md
└── api/                 # Reference (for all)
    ├── DECORATORS.md
    ├── REPOSITORIES.md
    ├── CLI.md
    └── CONFIGURATION.md
```

---

## ✅ Week-by-Week Checklist

### **Week 1-2**: Documentation Foundation
- [ ] Philosophy docs (4 files)
- [ ] Architecture overview
- [ ] Quick start guide

### **Week 3-4**: Core Type System
- [ ] Type decorators
- [ ] Schema generation
- [ ] 100+ tests
- [ ] v0.1.0 release

### **Week 5-6**: CQRS Repositories
- [ ] Command/Query repositories
- [ ] WHERE builder
- [ ] 150+ tests
- [ ] v0.2.0 release

### **Week 6-7**: Decorators & FastAPI
- [ ] Query/mutation decorators
- [ ] GraphQL endpoint
- [ ] Error tracking
- [ ] 100+ tests
- [ ] v0.3.0 release

### **Week 7-8**: Rust Integration
- [ ] Rust transformer
- [ ] Benchmarks (40x proven)
- [ ] 50+ tests
- [ ] v0.4.0 release

### **Week 9-10**: Confiture Integration
- [ ] Migration system
- [ ] Schema sync
- [ ] 30+ tests
- [ ] v0.5.0 release

### **Week 11**: Enterprise Features
- [ ] RLS helpers
- [ ] OpenTelemetry
- [ ] 80+ tests
- [ ] v0.6.0 release

### **Week 12**: Monitoring
- [ ] Grafana dashboards
- [ ] Cache invalidation
- [ ] 40+ tests
- [ ] v0.7.0 release

### **Week 13**: Developer Experience
- [ ] CLI tools
- [ ] TypeScript generation
- [ ] Advanced mutations
- [ ] 60+ tests
- [ ] v0.8.0 release

### **Week 14-15**: Production Polish
- [ ] 3 production examples
- [ ] Complete documentation
- [ ] Benchmark suite
- [ ] v1.0.0 release!

---

## 🎯 Final Goal

**By Week 15 (February 2026)**:
- ✅ Production-ready v1.0
- ✅ Sub-1ms query latency (proven)
- ✅ Enterprise features (RLS, observability, migrations)
- ✅ Developer tools (CLI, TypeScript gen)
- ✅ Complete documentation
- ✅ 3 production examples
- ✅ Benchmark suite
- ✅ Ready for production adoption at scale

---

**Status**: Vision complete, ready for Week 1
**Next**: Start docs/philosophy/WHY_FRAISEQL.md
**Timeline**: 15 weeks to production v1.0
**Target**: Production adoption by engineering teams

**Let's build a production-grade framework!** 🚀
