platform/.pkb/technical doc.md

# Protevus Technical Documentation

## Table of Contents
1. Architecture Overview
2. Core Components
3. Cross-Platform Development
4. Microservices Implementation
5. Blockchain Integration
6. IoT and Edge Computing Support
7. API Reference
8. Performance Optimization
9. Security Features
10. Deployment Guide

## 1. Architecture Overview

Protevus is built on a modular, layered architecture that ensures flexibility, scalability, and performance across all supported platforms.

### High-Level Architecture

+---------------------+ | Application | +---------------------+ | Protevus Framework | +---------------------+ | Dart Runtime / VM | +---------------------+ | Platform (OS/Web) | +---------------------+


### Key Architectural Principles
- Separation of Concerns
- Dependency Injection
- Reactive Programming
- Asynchronous by Default

## 2. Core Components

### 2.1 Protevus Core
The central library that provides common functionality across all platforms.

#### Key Features
- Unified routing system
- State management
- Dependency injection container
- Event bus

### 2.2 Platform-Specific Modules
Modules that interface with platform-specific APIs while maintaining a consistent API across platforms.

- Web Module
- Mobile Module (iOS/Android)
- Desktop Module (Windows/macOS/Linux)
- IoT Module

## 3. Cross-Platform Development

Protevus uses a single codebase approach for cross-platform development, with platform-specific customizations when necessary.

### 3.1 Shared Code
```dart
class User {
  final String name;
  final String email;
  
  User(this.name, this.email);
  
  void save() {
    // Common save logic
  }
}

3.2 Platform-Specific Code

import 'package:protevus/platform.dart';

void main() {
  if (Platform.isIOS) {
    // iOS-specific initialization
  } else if (Platform.isAndroid) {
    // Android-specific initialization
  } else {
    // Default initialization
  }
}
```

## 4. Microservices Implementation
Protevus provides built-in support for developing and deploying microservices.

### 4.1 Service Definition
```dart
@service
class UserService {
  Future<User> getUser(String id) async {
    // Implementation
  }
  
  Future<void> createUser(User user) async {
    // Implementation
  }
}
```

### 4.2 Service Discovery
Protevus uses a built-in service registry for automatic service discovery and load balancing.

```dart
final userService = await ServiceLocator.get<UserService>();
final user = await userService.getUser('123');
```

## 5. Blockchain Integration
Protevus offers native blockchain creation capabilities and API consumption from other blockchains.

### 5.1 Blockchain Creation

```dart
final blockchain = Blockchain.create(
  name: 'MyChain',
  consensusAlgorithm: ProofOfStake(),
  initialSupply: 1000000,
);

blockchain.start();
```

### 5.2 Interacting with External Blockchains

```dart
final ethereumClient = BlockchainClient.ethereum();
final balance = await ethereumClient.getBalance('0x742d35Cc6634C0532925a3b844Bc454e4438f44e');
```

## 6. IoT and Edge Computing Support
Protevus provides built-in support for developing IoT applications and deploying them on edge devices.

### 6.1 IoT Device Communication

```dart
final mqttClient = MqttClient('broker.hivemq.com');
await mqttClient.connect();
mqttClient.subscribe('sensors/temperature');

mqttClient.updates.listen((List<MqttReceivedMessage<MqttMessage>> messages) {
  final message = messages[0].payload as MqttPublishMessage;
  final payload = MqttPublishPayload.bytesToStringAsString(message.payload.message);
  print('Received message: $payload');
});
```

### 6.2 Edge Computing
Protevus allows developers to deploy their applications on edge devices, enabling real-time data processing and reducing latency.

```dart
@edge
class DataProcessor {
  List<double> processData(List<double> rawData) {
    // Process data on the edge device
    return rawData.map((d) => d * 1.8 + 32).toList(); // Convert Celsius to Fahrenheit
  }
}
```

## 7. API Reference

[Detailed API documentation would be provided here, covering all major classes and functions in the framework]

### 8. Performance Optimization
Protevus is designed for high performance across all platforms.

### 8.1 AOT Compilation
For mobile and desktop platforms, Protevus uses Ahead-of-Time (AOT) compilation to generate native code for maximum performance.

### 8.2 Tree Shaking
Protevus automatically removes unused code to minimize application size.

### 8.3 Lazy Loading
Protevus supports lazy loading of modules and components to improve startup time.

```dart
final userModule = await ModuleLoader.load('user_module');
final userList = await userModule.getUserList();
```

## 9. Security Features
Protevus includes robust security features out of the box.

### 9.1 Encryption

```dart
final encrypted = Encryptor.encrypt('Sensitive data', key);
final decrypted = Encryptor.decrypt(encrypted, key);
```

### 9.2 Authentication and Authorization
Protevus provides built-in support for user authentication and role-based access control.

```dart
@authenticate
class SecureController {
  @role(['admin'])
  void adminOnlyMethod() {
    // Only accessible by admin users
  }
}
```

## 10. Deployment Guide
### 10.1 Web Deployment

```bash
protevus build web
protevus deploy --platform=firebase
```
### 10.2 Mobile Deployment

```bash
protevus build mobile --platform=ios
protevus deploy --platform=appstore
```

### 10.3 Desktop Deployment
```bash
protevus build desktop --platform=windows
protevus package --format=msix
```

### 10.4 Microservices Deployment
```bash
protevus build service UserService
protevus deploy --platform=kubernetes
```


This technical documentation provides an overview of the key features and components of Protevus. It includes code snippets to illustrate how different features can be used. 

Remember that in a real-world scenario, this documentation would be much more extensive, covering every aspect of the framework in detail. It would also include more comprehensive examples, troubleshooting guides, and best practices for using Protevus effectively.

As the framework develops, this documentation should be regularly updated to reflect new features, changes in API, and evolving best practices.