Customization for Developers¶
🎯 Overview¶
This guide helps developers customize ALwrity for specific needs. You'll learn how to extend functionality, create custom components, integrate with external systems, and tailor the platform to your requirements.
🚀 What You'll Achieve¶
Custom Development¶
- Feature Extensions: Extend existing features and functionality
- Custom Components: Create custom UI components and interfaces
- API Extensions: Extend API endpoints and functionality
- Integration Development: Develop custom integrations
Platform Tailoring¶
- Brand Customization: Customize branding and user interface
- Workflow Customization: Customize workflows and processes
- Business Logic: Implement custom business logic
- Data Models: Extend data models and schemas
📋 Customization Framework¶
Extension Points¶
Backend Extensions: 1. API Endpoints: Add custom API endpoints 2. Services: Extend or create new services 3. Models: Add custom data models 4. Middleware: Create custom middleware
Frontend Extensions: - Components: Create custom React components - Hooks: Develop custom React hooks - Pages: Add new pages and routes - Themes: Create custom themes and styling
Customization Levels¶
Configuration Customization: - Environment Variables: Customize via environment settings - Feature Flags: Enable/disable features via configuration - UI Themes: Customize appearance and branding - Workflow Settings: Adjust workflow parameters
Code Customization: - Plugin Architecture: Develop plugins for extensibility - API Extensions: Extend API functionality - Custom Services: Implement custom business logic - Database Extensions: Add custom database schemas
🛠️ Backend Customization¶
API Extensions¶
Custom Endpoints:
# backend/api/custom_endpoints.py
from fastapi import APIRouter
router = APIRouter(prefix="/api/custom", tags=["custom"])
@router.get("/my-feature")
async def my_custom_feature():
"""Custom feature endpoint."""
return {"message": "Custom feature response"}
Service Extensions:
# backend/services/custom_service.py
class CustomService:
async def process_custom_data(self, data: dict) -> dict:
"""Process custom data."""
# Custom business logic here
return processed_data
Model Extensions¶
Custom Models:
# backend/models/custom_models.py
from sqlalchemy import Column, Integer, String, DateTime
from backend.models.base import Base
class CustomData(Base):
__tablename__ = "custom_data"
id = Column(Integer, primary_key=True)
name = Column(String(255), nullable=False)
created_at = Column(DateTime, default=datetime.utcnow)
Pydantic Models:
# backend/models/custom_requests.py
from pydantic import BaseModel
class CustomRequest(BaseModel):
field1: str
field2: int
field3: Optional[str] = None
class CustomResponse(BaseModel):
result: str
data: dict
Middleware Customization¶
Custom Middleware:
# backend/middleware/custom_middleware.py
from fastapi import Request
from starlette.middleware.base import BaseHTTPMiddleware
class CustomMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request: Request, call_next):
# Custom middleware logic
response = await call_next(request)
return response
🎯 Frontend Customization¶
Component Development¶
Custom Components:
// frontend/src/components/Custom/CustomComponent.tsx
import React from 'react';
interface CustomComponentProps {
title: string;
data: any[];
onAction: (item: any) => void;
}
export const CustomComponent: React.FC<CustomComponentProps> = ({
title,
data,
onAction
}) => {
return (
<div className="custom-component">
<h2>{title}</h2>
{data.map((item, index) => (
<div key={index} onClick={() => onAction(item)}>
{item.name}
</div>
))}
</div>
);
};
Custom Hooks:
// frontend/src/hooks/useCustomData.ts
import { useState, useEffect } from 'react';
export const useCustomData = (endpoint: string) => {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
const [error, setError] = useState(null);
useEffect(() => {
const fetchData = async () => {
try {
const response = await fetch(`/api/custom/${endpoint}`);
const result = await response.json();
setData(result);
} catch (err) {
setError(err);
} finally {
setLoading(false);
}
};
fetchData();
}, [endpoint]);
return { data, loading, error };
};
Theme Customization¶
Custom Themes:
/* frontend/src/themes/custom-theme.css */
:root {
--primary-color: #your-brand-color;
--secondary-color: #your-secondary-color;
--accent-color: #your-accent-color;
--background-color: #your-background-color;
--text-color: #your-text-color;
}
.custom-theme {
--primary-color: var(--primary-color);
--secondary-color: var(--secondary-color);
/* Additional custom variables */
}
Styled Components:
// frontend/src/components/Custom/StyledComponents.tsx
import styled from 'styled-components';
export const CustomContainer = styled.div`
background-color: var(--primary-color);
padding: 2rem;
border-radius: 8px;
box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
`;
export const CustomButton = styled.button`
background-color: var(--accent-color);
color: white;
border: none;
padding: 0.5rem 1rem;
border-radius: 4px;
cursor: pointer;
&:hover {
opacity: 0.8;
}
`;
📊 Integration Development¶
External API Integration¶
API Client:
# backend/services/external_api_client.py
import httpx
from typing import Dict, Any
class ExternalAPIClient:
def __init__(self, api_key: str, base_url: str):
self.api_key = api_key
self.base_url = base_url
self.client = httpx.AsyncClient()
async def get_data(self, endpoint: str) -> Dict[str, Any]:
"""Get data from external API."""
headers = {"Authorization": f"Bearer {self.api_key}"}
response = await self.client.get(
f"{self.base_url}/{endpoint}",
headers=headers
)
return response.json()
Integration Service:
# backend/services/integration_service.py
class IntegrationService:
def __init__(self):
self.external_client = ExternalAPIClient(
api_key=settings.EXTERNAL_API_KEY,
base_url=settings.EXTERNAL_API_URL
)
async def sync_data(self) -> Dict[str, Any]:
"""Sync data with external service."""
external_data = await self.external_client.get_data("sync")
# Process and store data
return {"status": "synced", "data": external_data}
Database Integration¶
Custom Database Operations:
# backend/services/custom_db_service.py
from sqlalchemy.orm import Session
from backend.models.custom_models import CustomData
class CustomDBService:
def __init__(self, db: Session):
self.db = db
async def create_custom_data(self, data: dict) -> CustomData:
"""Create custom data record."""
custom_data = CustomData(**data)
self.db.add(custom_data)
self.db.commit()
return custom_data
async def get_custom_data(self, data_id: int) -> CustomData:
"""Get custom data by ID."""
return self.db.query(CustomData).filter(
CustomData.id == data_id
).first()
🎯 Advanced Customization¶
Plugin Architecture¶
Plugin Interface:
# backend/plugins/base_plugin.py
from abc import ABC, abstractmethod
from typing import Dict, Any
class BasePlugin(ABC):
@abstractmethod
def initialize(self, config: Dict[str, Any]) -> None:
"""Initialize plugin with configuration."""
pass
@abstractmethod
def execute(self, data: Dict[str, Any]) -> Dict[str, Any]:
"""Execute plugin logic."""
pass
@abstractmethod
def cleanup(self) -> None:
"""Cleanup plugin resources."""
pass
Plugin Implementation:
# backend/plugins/custom_plugin.py
from backend.plugins.base_plugin import BasePlugin
class CustomPlugin(BasePlugin):
def initialize(self, config: Dict[str, Any]) -> None:
"""Initialize custom plugin."""
self.config = config
# Initialize plugin resources
def execute(self, data: Dict[str, Any]) -> Dict[str, Any]:
"""Execute custom plugin logic."""
# Process data according to plugin logic
return {"processed": data, "plugin": "custom"}
def cleanup(self) -> None:
"""Cleanup plugin resources."""
# Clean up resources
Custom Workflows¶
Workflow Engine:
# backend/services/workflow_engine.py
from typing import List, Dict, Any
class WorkflowStep:
def __init__(self, name: str, function: callable):
self.name = name
self.function = function
class WorkflowEngine:
def __init__(self):
self.steps: List[WorkflowStep] = []
def add_step(self, step: WorkflowStep):
"""Add workflow step."""
self.steps.append(step)
async def execute_workflow(self, data: Dict[str, Any]) -> Dict[str, Any]:
"""Execute workflow with data."""
result = data
for step in self.steps:
result = await step.function(result)
return result
🛠️ Configuration Management¶
Environment Configuration¶
Custom Environment Variables:
# backend/config/custom_config.py
from pydantic import BaseSettings
class CustomSettings(BaseSettings):
custom_api_key: str
custom_api_url: str
custom_feature_enabled: bool = False
custom_timeout: int = 30
class Config:
env_file = ".env"
Feature Flags:
# backend/services/feature_flags.py
class FeatureFlags:
def __init__(self):
self.flags = {
"custom_feature": os.getenv("CUSTOM_FEATURE_ENABLED", "false").lower() == "true",
"advanced_analytics": os.getenv("ADVANCED_ANALYTICS_ENABLED", "false").lower() == "true",
}
def is_enabled(self, feature: str) -> bool:
"""Check if feature is enabled."""
return self.flags.get(feature, False)
Frontend Configuration¶
Runtime Configuration:
// frontend/src/config/runtime.ts
interface RuntimeConfig {
customApiUrl: string;
customFeatureEnabled: boolean;
customTimeout: number;
}
export const getRuntimeConfig = (): RuntimeConfig => ({
customApiUrl: process.env.REACT_APP_CUSTOM_API_URL || '/api/custom',
customFeatureEnabled: process.env.REACT_APP_CUSTOM_FEATURE_ENABLED === 'true',
customTimeout: parseInt(process.env.REACT_APP_CUSTOM_TIMEOUT || '30000'),
});
📈 Testing Customizations¶
Backend Testing¶
Custom Test Cases:
# tests/test_custom_features.py
import pytest
from fastapi.testclient import TestClient
def test_custom_endpoint(client: TestClient):
"""Test custom endpoint."""
response = client.get("/api/custom/my-feature")
assert response.status_code == 200
assert response.json()["message"] == "Custom feature response"
def test_custom_service():
"""Test custom service."""
service = CustomService()
result = await service.process_custom_data({"test": "data"})
assert result is not None
Frontend Testing¶
Custom Component Testing:
// src/components/Custom/__tests__/CustomComponent.test.tsx
import { render, screen, fireEvent } from '@testing-library/react';
import { CustomComponent } from '../CustomComponent';
test('renders custom component', () => {
const mockData = [{ name: 'Test Item 1' }, { name: 'Test Item 2' }];
const mockAction = jest.fn();
render(
<CustomComponent
title="Test Title"
data={mockData}
onAction={mockAction}
/>
);
expect(screen.getByText('Test Title')).toBeInTheDocument();
expect(screen.getByText('Test Item 1')).toBeInTheDocument();
});
🎯 Deployment Customizations¶
Custom Docker Configuration¶
Custom Dockerfile:
# Dockerfile.custom
FROM python:3.9-slim
# Install custom dependencies
RUN pip install custom-package
# Copy custom configuration
COPY custom_config.py /app/
COPY custom_plugins/ /app/plugins/
# Set custom environment
ENV CUSTOM_FEATURE_ENABLED=true
Custom Docker Compose:
# docker-compose.custom.yml
services:
alwrity-custom:
build:
context: .
dockerfile: Dockerfile.custom
environment:
- CUSTOM_API_KEY=${CUSTOM_API_KEY}
- CUSTOM_FEATURE_ENABLED=true
volumes:
- ./custom_plugins:/app/plugins
🎯 Best Practices¶
Customization Best Practices¶
Code Organization: 1. Separation of Concerns: Keep custom code separate from core code 2. Modular Design: Design customizations as modular components 3. Documentation: Document all customizations thoroughly 4. Testing: Test all customizations thoroughly 5. Version Control: Use proper version control for custom code
Performance Considerations: - Optimization: Optimize custom code for performance - Caching: Implement caching for custom features - Resource Management: Manage resources efficiently - Monitoring: Monitor custom feature performance
🎯 Next Steps¶
Immediate Actions (This Week)¶
- Requirements Analysis: Define customization requirements
- Architecture Planning: Plan customization architecture
- Development Setup: Set up development environment for customization
- Proof of Concept: Create proof of concept for key customizations
Short-Term Planning (This Month)¶
- Core Customizations: Implement core customization features
- Testing: Develop comprehensive tests for customizations
- Documentation: Document customization process and usage
- Integration: Integrate customizations with existing system
Long-Term Strategy (Next Quarter)¶
- Advanced Features: Implement advanced customization features
- Plugin System: Develop comprehensive plugin system
- Community: Share customizations with community
- Maintenance: Establish maintenance and update procedures
Ready to customize ALwrity? Start with Codebase Exploration to understand the architecture before implementing your customizations!