# FEAGI API Refactoring Summary

## Overview

This document provides a summary of the API refactoring work completed to improve the architecture of FEAGI 2.1 by introducing a service layer pattern with `CoreAPIService`. This refactoring effort focused on improving code maintainability, reducing direct dependencies on state management, and standardizing access patterns.

## Completed Refactoring Categories

### Core Operation Endpoints (Priority 1)
- Burst Engine endpoints
- Connectome endpoints
- Cortical Area endpoints

### Genome Management Endpoints (Priority 2)
- Genome endpoints
- Morphology endpoints
- Neuroplasticity endpoints

### Additional Categories (Priority 3)
- Input endpoints
- Region endpoints
- Cortical Mapping endpoints
- Evolution endpoints
- Insights endpoints
- Network endpoints (refactored recently)
- Simulation endpoints (refactored recently)
- System endpoints (refactored recently)
- Agent endpoints (refactored recently)

## Architectural Improvements

### Service Layer Benefits
- **Isolation**: The CoreAPIService acts as an intermediary between API endpoints and the state/core components
- **Centralized Logic**: Common operations are now managed in a single location
- **Consistent Error Handling**: Standardized approach to handling exceptions
- **Enhanced Testing**: Service methods can be tested independently from API routes

### Dependency Management
- Direct access to `state_manager` and `connectome_manager` is now encapsulated
- Each router gets an instance of CoreAPIService via a dependency injection pattern
- CoreAPIService constructor validates that components are properly initialized

### Error Handling Improvements
- Service methods now catch and log exceptions consistently
- HTTP exceptions are only raised in the router layer
- Validation errors flow from service to router with detailed messages

## Implementation Pattern

All refactored routers now follow this consistent pattern:

1. Get a CoreAPIService instance:
```python
def get_api_service():
    connectome_manager = state_manager.get_connectome()
    if not connectome_manager:
        # Create a minimal version if not available
        connectome_manager = ConnectomeManager()
    return CoreAPIService(connectome_manager=connectome_manager, state_manager=state_manager)
```

2. Use CoreAPIService methods in API endpoints:
```python
@router.get("/endpoint")
async def endpoint():
    api_service = get_api_service()
    try:
        result = api_service.method_name()
        return result
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))
```

## Future Improvements

- Further refine method documentation
- Add comprehensive unit tests for CoreAPIService methods
- Consider creating specialized service classes for different domains
- Implement robust validation layers
- Add permissions and authorization controls
