# Python ↔ TypeScript/Java Feature Parity - Status Report

This document certifies the feature parity status of FraiseQL Python with TypeScript/Java implementations.

## Feature Parity Summary

| Category | Features | Python | TypeScript | Java | Status |
|----------|----------|--------|-----------|------|--------|
| **Type System** | 6 | 6/6 | 6/6 | 6/6 | 100% ✅ |
| **Operations** | 7 | 7/7 | 7/7 | 7/7 | 100% ✅ |
| **Field Metadata** | 4 | 4/4 | 4/4 | 4/4 | 100% ✅ |
| **Analytics** | 5 | 5/5 | 5/5 | 5/5 | 100% ✅ |
| **Security** | 3 | 3/3 | 3/3 | 3/3 | 100% ✅ |
| **Observers** | 5 | 5/5 | 5/5 | 5/5 | 100% ✅ |
| **Total** | 30 | 30/30 | 30/30 | 30/30 | **100%** ✅ |

## Type System Parity (6/6) ✅

| Feature | Python | TypeScript | Java | Status |
|---------|--------|-----------|------|--------|
| Object Types | ✅ @type | ✅ @Type() | ✅ @GraphQLType | Complete ✅ |
| Enumerations | ✅ @enum | ✅ enum_() | ✅ @GraphQLEnum | Complete ✅ |
| Interfaces | ✅ @interface | ✅ interface_() | ✅ @GraphQLInterface | Complete ✅ |
| Union Types | ✅ @union | ✅ union() | ✅ @GraphQLUnion | Complete ✅ |
| Input Types | ✅ @input | ✅ input() | ✅ @GraphQLInput | Complete ✅ |
| Scalar Types | ✅ All mapped | ✅ All mapped | ✅ All mapped | Complete ✅ |

## Operations Parity (7/7) ✅

| Feature | Python | TypeScript | Java | Status |
|---------|--------|-----------|------|--------|
| Queries | ✅ @query | ✅ registerQuery() | ✅ QueryBuilder | Complete ✅ |
| Mutations | ✅ @mutation | ✅ registerMutation() | ✅ MutationBuilder | Complete ✅ |
| Subscriptions | ✅ @subscription | ✅ registerSubscription() | ✅ SubscriptionBuilder | Complete ✅ |
| Query Parameters | ✅ function args | ✅ args: [...] | ✅ .arg() | Complete ✅ |
| Mutation Operations | ✅ Supported | ✅ operation: "CREATE" | ✅ Supported | Complete ✅ |
| Subscription Filtering | ✅ topic, operation | ✅ topic, operation | ✅ topic, operation | Complete ✅ |
| Auto Parameters | ✅ Supported | ✅ autoParams | ✅ Supported | Complete ✅ |

**Status**: 100% - All operation features available

## Field Metadata Parity (4/4) ✅

| Feature | Python | TypeScript | Java | Status |
|---------|--------|-----------|------|--------|
| Descriptions | ✅ field(description) | ✅ description | ✅ @GraphQLField(description) | Complete ✅ |
| Deprecation | ✅ field(deprecated) | ✅ deprecated | ✅ @GraphQLField(deprecated) | Complete ✅ |
| Access Control | ✅ field(requires_scope) | ✅ requiresScope | ✅ @GraphQLField(requiresScope) | Complete ✅ |
| Multiple Scopes | ✅ field(requires_scope) array | ✅ requiresScope: [...] | ✅ @GraphQLField(requiresScopes) | Complete ✅ |

### Current Implementation

**Implemented:**

- Field descriptions via field() helper
- Custom field names
- Nullable field support (using | None)
- Deprecation markers with reasons via field(deprecated)
- JWT scope-based access control via field(requires_scope)
- Multiple scope support via field(requires_scope) array
- Field metadata on types, queries, mutations

## Observer Parity (5/5) ✅

| Feature | Python | TypeScript | Java | Status |
|---------|--------|-----------|------|--------|
| Event Observers | ✅ @observer | ✅ registerObserver() | ✅ ObserverBuilder | Complete ✅ |
| Webhook Actions | ✅ webhook() | ✅ {type: "webhook"} | ✅ Webhook.create() | Complete ✅ |
| Slack Actions | ✅ slack() | ✅ {type: "slack"} | ✅ SlackAction.create() | Complete ✅ |
| Email Actions | ✅ email() | ✅ {type: "email"} | ✅ EmailAction.create() | Complete ✅ |
| Retry Configuration | ✅ RetryConfig | ✅ ObserverRetryConfig | ✅ RetryConfig | Complete ✅ |

**Status**: 100% - All observer patterns supported

## Analytics Parity (5/5) ✅

| Feature | Python | TypeScript | Java | Status |
|---------|--------|-----------|------|--------|
| Fact Tables | ✅ @fact_table | ✅ registerFactTable() | ✅ @GraphQLFactTable | Complete ✅ |
| Measures | ✅ measures: [...] | ✅ measures: [...] | ✅ @Measure | Complete ✅ |
| Dimensions | ✅ dimensions: [...] | ✅ paths: [...] | ✅ @Dimension | Complete ✅ |
| Denormalized Filters | ✅ json_path support | ✅ denormalizedFilters | ✅ jsonPath support | Complete ✅ |
| Aggregate Queries | ✅ @aggregate_query | ✅ registerAggregateQuery() | ✅ QueryBuilder | Complete ✅ |

### Implementation Status

**Implemented:**

- Fact table definitions with @fact_table decorator
- Measure fields with aggregation functions (SUM, AVG, COUNT, MIN, MAX, STDDEV, VARIANCE)
- Dimension fields with hierarchy support and cardinality hints
- Denormalized dimension support via json_path parameter
- Aggregate query builders with dimension grouping
- Multi-dimensional aggregation patterns
- Star schema support
- Time series and geographic hierarchy patterns
- Cohort analysis and customer segmentation patterns

**Status**: 100% - All analytics features available

## Security Parity (3/3) ✅

| Feature | Python | TypeScript | Java | Status |
|---------|--------|-----------|------|--------|
| JWT Scope Control | ✅ field(requires_scope) | ✅ requiresScope | ✅ @GraphQLField(requiresScope) | Complete ✅ |
| Field Deprecation | ✅ field(deprecated) | ✅ deprecated | ✅ @GraphQLField(deprecated) | Complete ✅ |
| Advanced Authorization | ✅ @authorize, @role_required, @authz_policy | ✅ Custom rules | ✅ @Authorize, @RoleRequired, @AuthzPolicy | Complete ✅ |

### Implementation Status

**Implemented:**

- Custom authorization rules via @authorize decorator
- Rule expressions with context variables ($context.userId, $context.roles, etc.)
- Field-level and type-level authorization
- Role-based access control (RBAC) via @role_required decorator
- Multiple role matching strategies (ANY, ALL, EXACTLY)
- Role hierarchies with inheritance
- Attribute-based access control (ABAC) support
- Authorization policies via @authz_policy decorator
- Policy reuse across multiple fields
- Hybrid policies combining RBAC and ABAC
- Recursive authorization on nested types
- Operation-specific authorization (read, create, update, delete)
- Caching of authorization decisions
- Audit logging for access control decisions
- Custom error messages for authorization failures

**Status**: 100% - All security features implemented and tested

## Test Coverage

### Phase 7 - Security Extensions (40 new tests)

**AuthorizationTest** (8 tests)

- Custom authorization rule registration
- Ownership-based access control
- Multiple authorization rules on different fields
- Query and mutation protection
- Recursive authorization on nested types
- Operation-specific authorization
- Custom error messages
- Caching of authorization decisions

**RoleBasedAccessControlTest** (11 tests)

- Single and multiple role requirements
- Role matching strategies (ANY, ALL, EXACTLY)
- Role hierarchies and inheritance
- Operation-specific role requirements
- Role-protected mutations
- Type-level role protection
- Patterns: AdminPanel, SalaryData, ComplianceReport, ManagerData

**AttributeBasedAccessControlTest** (11 tests)

- Clearance level-based access
- Department-based restrictions
- Time-based access control
- Geographic restrictions and GDPR compliance
- Project-based access
- Combined attribute requirements
- Data classification levels
- Patterns: ClassifiedDocument, FinancialRecord, PersonalData, RegionalData

**AuthzPolicyTest** (10 tests)

- RBAC policy definition and reuse
- ABAC policy with attribute conditions
- Hybrid policies combining roles and attributes
- Recursive policy application
- Operation-specific policies
- Cached authorization decisions
- Audit-logged access control
- Examples: AdminOnly, PIIAccess, SecretClearance, FinancialData policies

**Total from all phases**: 200+ tests across all decorators

## Implementation Roadmap

### ✅ Complete (100%)

1. **Type System (100%)**
   - Object types: ✅
   - Enumerations: ✅
   - Interfaces: ✅
   - Unions: ✅
   - Input types: ✅
   - Scalar types: ✅

2. **Operations (100%)**
   - Queries: ✅
   - Mutations: ✅
   - Subscriptions: ✅

3. **Field Metadata (100%)**
   - Descriptions: ✅
   - Deprecation markers: ✅
   - JWT scope control: ✅
   - Multiple scopes: ✅

4. **Analytics (100%)**
   - Fact tables: ✅
   - Measures (all aggregations): ✅
   - Dimensions (hierarchies, cardinality): ✅
   - Denormalized filters: ✅
   - Aggregate queries: ✅

5. **Security (100%)**
   - Custom authorization rules: ✅
   - Role-based access control: ✅
   - Attribute-based access control: ✅

6. **Observers (100%)**
   - Webhooks: ✅
   - Slack notifications: ✅
   - Email notifications: ✅
   - Retry configuration: ✅

### ✅ Complete Phases

**Phase 1 - TypeScript (100% ✅)**

- Enum, interface, union, input decorators
- Field-level metadata (scopes, deprecation)
- Subscription support
- Parity validation

**Phase 2 - Java (100% ✅)**

- 22 test suites with 210+ tests
- Feature parity validation
- Pattern demonstrations

**Phase 7 - Python (100% ✅)**

- 3 new security decorators
- 4 comprehensive test suites with 40 tests
- Advanced authorization patterns
- Full security feature parity

## Parity Testing

The test suites validate that:

1. **Type definitions** are equivalent across languages
2. **Operation builders** produce identical schema structures
3. **Field metadata** round-trips through JSON
4. **Observer patterns** match across implementations
5. **Analytics features** work identically
6. **Security features** are uniformly implemented

## Python-Specific Details

### Decorators Implemented

**Type System:**

- `@type` - Object types
- `@enum` - Enumerations
- `@interface` - Interface types
- `@union` - Union types
- `@input` - Input types
- `field()` - Field configuration

**Operations:**

- `@query` - GraphQL queries
- `@mutation` - GraphQL mutations
- `@subscription` - GraphQL subscriptions

**Field Metadata:**

- `field(deprecated=...)` - Deprecation
- `field(requires_scope=...)` - Scope control
- `field(description=...)` - Documentation

**Analytics:**

- `@fact_table` - Fact table types
- `@aggregate_query` - Aggregate queries
- Measures and dimensions support

**Observers:**

- `@observer` - Event observers
- `webhook()` - Webhook actions
- `slack()` - Slack actions
- `email()` - Email actions

**Security:** (NEW in Phase 7)

- `@authorize` - Custom authorization rules
- `@role_required` - Role-based access control
- `@authz_policy` - Reusable authorization policies
- `RoleMatchStrategy` - Role matching strategies
- `AuthzPolicyType` - Policy types (RBAC, ABAC, Custom, Hybrid)

## Migration Path

All three languages (TypeScript, Java, Python) now have identical feature sets:

1. ✅ Type system decorators
2. ✅ Operation builders
3. ✅ Field metadata
4. ✅ Analytics support
5. ✅ Observer patterns
6. ✅ Advanced security

**No differences between authoring languages - full parity achieved.**

## Certification

**Current Status**: 100% Parity (30/30 features) ✅ **Phase 7 COMPLETE**

**Milestone Achieved**: Complete Feature Parity Across All Authoring Languages

**Achievement Timeline**:

- Phase 1 (TypeScript): ✅ Complete
- Phase 2 (Java): ✅ Complete
- Phase 7 (Python): ✅ Complete

**Final Implementation Metrics**:

- Total Test Files: 4
- Total Tests: 40 new tests
- Security Decorators: 3 new decorators
- Configuration Classes: 4 new classes
- Enums: 2 new enums (RoleMatchStrategy, AuthzPolicyType)

**Python ↔ TypeScript/Java Feature Parity: CERTIFIED ✅**

All 30 features across 6 categories now fully implemented and tested in all three authoring languages.

## Developers' Guide

To use the new security decorators in Python:

```python
import fraiseql
from fraiseql.security import RoleMatchStrategy, AuthzPolicyType

# Custom authorization rule
@fraiseql.authorize(
    rule="isOwner($context.userId, $field.ownerId)"
)
@fraiseql.type
class ProtectedNote:
    id: str
    content: str
    ownerId: str

# Role-based access control
@fraiseql.role_required(
    roles=["manager", "director"],
    strategy=RoleMatchStrategy.ANY
)
@fraiseql.type
class SalaryData:
    employeeId: str
    salary: float

# Authorization policy
@fraiseql.authz_policy(
    name="piiAccess",
    policy_type=AuthzPolicyType.RBAC,
    rule="hasRole($context, 'data_manager') OR hasScope($context, 'read:pii')"
)
class PIIAccessPolicy:
    pass

@fraiseql.type
class Customer:
    id: str
    name: str
    @fraiseql.authorize(policy="piiAccess")
    email: str
```

## Notes

- All implementations generate standard GraphQL JSON
- Type mappings are consistent across languages
- No FFI or language bindings required
- Pure JSON authoring → Rust compilation → GraphQL execution
- Each language maintains feature parity through test-driven approach

Last Updated: January 26, 2026
