DragonCode SDK: Semantic Network Implementation
Introduction
The DragonCode SDK provides developers with a comprehensive implementation of the DragonFire Semantic Network, enabling applications to leverage semantic port-based communication, microsecond-precision operations, and intuitive command parsing.
Key Benefits
- Intent-Driven Architecture: Organize your communication by semantic intent through geometrically-organized ports
- Temporal Precision: Schedule operations with microsecond accuracy across distributed systems
- Intuitive APIs: Use the Dragon Code syntax for human-readable yet machine-efficient commands
- High Performance: Process data at 65,536 frames per second with the DragonFire Engine
- Pattern Optimization: Automatically optimize repeated patterns with fractal tokens
Installation
Install the DragonCode SDK with npm or yarn:
npm install @dragonfire/semantic-network
yarn add @dragonfire/semantic-network
Or include it directly in your HTML:
<script src="https://cdn.dragonfire.io/sdk/semantic-network-0.8.2.js"></script>
Core Components
Portal WebSocket Protocol
The Portal WebSocket Protocol provides semantic port-based communication channels organized by geometric forms.
// Initialize a Portal connection (client-side)
const initPortalConnection = async (endpoint, authToken) => {
// Establish WebSocket connection
const ws = new WebSocket(`wss://${endpoint}/dragonfire`);
// Set up message handling
ws.onopen = async () => {
console.log("Portal connection established");
// Immediately send authentication on port 100 (Auth)
const authMessage = {
port: 100, // Semantic authentication port
command: "LOGIN",
payload: { token: authToken }
};
await sendMessage(ws, authMessage);
};
// Handle incoming messages
ws.onmessage = (event) => {
const message = JSON.parse(event.data);
const { port, command, payload } = message;
// Route message to appropriate handler based on port
switch(port) {
case 100: // Authentication port
handleAuthResponse(payload);
break;
case 210: // Profile data port
updateUserProfile(payload);
break;
case 300: // Finance transaction port
processTransactionResult(payload);
break;
// ... other port handlers
}
};
// Helper function to send messages
const sendMessage = (socket, message) => {
return new Promise((resolve) => {
socket.send(JSON.stringify(message));
resolve();
});
};
return {
send: (port, command, payload) => sendMessage(ws, { port, command, payload }),
close: () => ws.close()
};
};
Dragonfire Engine
The Dragonfire Engine provides high-performance bitstream processing at 65,536 frames per second.
// Initialize the Dragonfire Engine
const initEngine = async (config) => {
// Create engine instance
const engine = new DragonFireEngine({
frameRate: 65536, // 65,536 fps
bufferSize: config.bufferSize || 1024 * 1024, // 1MB default
processingMode: config.processingMode || 'optimized'
});
// Initialize transformation patterns
await engine.initPatterns([
{ name: 'phi', sequence: [1.618, 0.618, 1, 1.618] },
{ name: 'pi', sequence: [3.14159, 1, 3, 4] },
{ name: 'sqrt2', sequence: [1.414, 1, 1.414, 2] }
]);
// Add stream processors
engine.addProcessor('xor', (data, pattern) => {
return data.map((byte, index) => byte ^ pattern[index % pattern.length]);
});
engine.addProcessor('fractal', (data) => {
// Identify repeated patterns and optimize using fractal compression
return engine.compressFractal(data);
});
// Start the engine
await engine.start();
return {
process: (data, options) => engine.process(data, options),
addPattern: (name, sequence) => engine.addPattern(name, sequence),
addProcessor: (name, fn) => engine.addProcessor(name, fn),
stop: () => engine.stop()
};
};
GeoNet Time-Coded Computation
GeoNet enables microsecond-precision synchronized operations across distributed systems.
// Initialize GeoNet time synchronization
const initGeoNet = async (clockServer, options = {}) => {
// Create GeoNet instance
const geonet = new GeoNetTime({
clockServer,
syncInterval: options.syncInterval || 30000, // 30 seconds
precision: options.precision || 'microsecond',
fallbackStrategy: options.fallbackStrategy || 'local'
});
// Initialize clock synchronization
await geonet.synchronize();
// Set up periodic sync
geonet.startPeriodicSync();
// Schedule a future operation with microsecond precision
const scheduleOperation = (timestamp, operation) => {
return geonet.schedule(timestamp, operation);
};
// Execute synchronized operations across multiple nodes
const executeParallel = (operations, timestamp) => {
return geonet.executeParallel(operations, timestamp);
};
return {
now: () => geonet.now(), // Get current synchronized time
schedule: scheduleOperation,
executeParallel,
synchronize: () => geonet.synchronize(),
getOffset: () => geonet.clockOffset,
stop: () => geonet.stopPeriodicSync()
};
};
Dragon Code Parser
The Dragon Code Parser processes semantic commands with port-specific handlers for intuitive APIs.
// Initialize the Dragon Code Parser
const initDragonParser = (handlers = {}) => {
// Create parser instance
const parser = new DragonCodeParser();
// Register command handlers
Object.entries(handlers).forEach(([portRange, handler]) => {
parser.registerHandler(portRange, handler);
});
// Default handlers for common ports
parser.registerHandler('100-199', (command, args) => {
// USER commands (Line geometry)
switch (command) {
case 'LOGIN':
return authenticateUser(args.token);
case 'LOGOUT':
return logoutUser(args.userId);
case 'UPDATE':
return updateUserProfile(args);
default:
throw new Error(`Unknown USER command: ${command}`);
}
});
parser.registerHandler('300-399', (command, args) => {
// FINANCE commands (Tetrahedron geometry)
switch (command) {
case 'BUY':
return processPurchase(args.item, args.quantity, args.payment);
case 'SELL':
return processSale(args.item, args.quantity, args.price);
case 'TRANSFER':
return transferFunds(args.to, args.amount, args.currency);
default:
throw new Error(`Unknown FINANCE command: ${command}`);
}
});
// Parse Dragon Code command
const parse = (code) => {
const { command, args } = parser.parse(code);
return { command, args };
};
// Execute command on appropriate port
const execute = async (port, code) => {
const { command, args } = parse(code);
return parser.execute(port, command, args);
};
return {
parse,
execute,
registerHandler: (portRange, handler) => parser.registerHandler(portRange, handler)
};
};
Implementation Examples
Comprehensive Integration
Here's a complete example of integrating all Semantic Network components into a web application:
// Initialize the full Dragonfire Semantic Network
const initDragonfireApp = async () => {
// Configuration
const config = {
endpoint: "api.dragonfire.io",
clockServer: "time.dragonfire.io",
authToken: localStorage.getItem("dragonfire_token")
};
// Initialize components
const portal = await initPortalConnection(config.endpoint, config.authToken);
const engine = await initEngine({ bufferSize: 2 * 1024 * 1024 });
const geonet = await initGeoNet(config.clockServer);
const parser = initDragonParser();
// Create integrated client
const dragonfire = {
// Send raw message on specific port
send: (port, command, payload) => portal.send(port, command, payload),
// Send Dragon Code command on specific port
sendDragonCode: async (port, code) => {
const { command, args } = parser.parse(code);
return portal.send(port, command, args);
},
// Subscribe to port for updates
subscribe: (port, callback) => {
// Implementation depends on how you handle message routing
subscriptions[port] = callback;
},
// Schedule future operation
scheduleAt: (timestamp, port, code) => {
return geonet.schedule(timestamp, () => {
return dragonfire.sendDragonCode(port, code);
});
},
// Process data through engine
process: (data, pattern) => engine.process(data, { pattern }),
// Clean shutdown
shutdown: () => {
portal.close();
engine.stop();
geonet.stop();
}
};
// Handle incoming messages
ws.onmessage = (event) => {
const message = JSON.parse(event.data);
const { port } = message;
// Process message through engine if needed
const processedData = engine.process(message.payload);
// Notify subscribers
if (subscriptions[port]) {
subscriptions[port](processedData);
}
};
return dragonfire;
};
Interactive Web Application Example
Implementing a simple web interface that uses the Semantic Network:
// Initialize application when document is ready
const initDragonfireApp = async () => {
// Initialize Dragonfire Semantic Network
const dragonfire = {
// Implementation from previous example
// ...
};
// Set up authentication handlers
document.getElementById("loginForm").addEventListener("submit", async (e) => {
e.preventDefault();
const username = document.getElementById("username").value;
const password = document.getElementById("password").value;
// Send authentication request using Dragon Code
const response = await dragonfire.sendDragonCode(100,
`LOGIN username="${username}" password="${password}"`
);
if (response.status === "OK") {
// Store token
localStorage.setItem("dragonfire_token", response.token);
showAuthenticatedUI();
} else {
showLoginError(response.message);
}
});
// Implement purchase functionality
document.getElementById("buyButton").addEventListener("click", async () => {
const productId = document.getElementById("productId").value;
const quantity = document.getElementById("quantity").value;
// Send buy command on purchase port
const response = await dragonfire.sendDragonCode(300,
`BUY item="${productId}" quantity=${quantity} payment="cardTokenXYZ" shipAddress="addrTokenABC"`
);
if (response.status === "OK") {
showOrderConfirmation(response.order, response.deliveryDate);
} else {
showPurchaseError(response.code);
}
});
return dragonfire;
};
// Initialize when document is ready
document.addEventListener("DOMContentLoaded", () => {
initDragonfireApp().then(dragonfire => {
window.dragonfire = dragonfire; // Make available for console debugging
});
});
Advanced Patterns
Real-time Synchronization Patterns
Implementing real-time multi-user synchronization with microsecond precision:
// Implement real-time collaborative editing
const initCollaborativeEditor = async (documentId, userId) => {
const dragonfire = await initDragonfireApp();
const geonet = await initGeoNet("time.dragonfire.io");
// Track local changes
const changeQueue = [];
let lastSyncTime = geonet.now();
// Apply remote changes to the document
const applyRemoteChange = (change) => {
document.execCommand(change.command, false, change.value);
};
// Subscribe to document changes
dragonfire.subscribe(250, (changes) => {
// Apply only changes we didn't generate
changes.filter(change => change.userId !== userId)
.forEach(applyRemoteChange);
});
// Send batched changes at precise intervals
geonet.schedule(geonet.now() + 50000, function sendChanges() {
if (changeQueue.length > 0) {
// Prepare change batch with precise timestamp
const changeBatch = {
documentId,
userId,
timestamp: geonet.now(),
changes: [...changeQueue]
};
// Clear queue
changeQueue.length = 0;
// Send changes on document port with precise timing
dragonfire.send(250, "UPDATE_DOCUMENT", changeBatch);
}
// Schedule next sync precisely 50ms in the future
geonet.schedule(geonet.now() + 50000, sendChanges);
});
// Capture local changes
document.addEventListener("input", (e) => {
changeQueue.push({
userId,
timestamp: geonet.now(),
command: "insertText",
value: e.data
});
});
return {
disconnect: () => {
dragonfire.shutdown();
geonet.stop();
}
};
};
Pattern Recognition and Optimization
Using fractal tokens to optimize data transmission:
// Optimize data transmission with fractal patterns
const optimizeDataStream = async (dataStream, patternLength = 8) => {
const engine = await initEngine({ processingMode: 'ultra' });
const patterns = {};
const tokenMap = {};
let tokenCounter = 0;
// Process data chunks
const processChunk = (chunk) => {
// Look for repeated patterns
for (let i = 0; i <= chunk.length - patternLength; i++) {
const pattern = chunk.slice(i, i + patternLength);
const patternKey = pattern.toString();
if (!patterns[patternKey]) {
patterns[patternKey] = {
count: 0,
pattern,
token: null
};
}
patterns[patternKey].count++;
// If pattern appears frequently, assign a token
if (patterns[patternKey].count > 3 && !patterns[patternKey].token) {
const token = tokenCounter++;
patterns[patternKey].token = token;
tokenMap[token] = pattern;
}
}
// Replace patterns with tokens
let optimized = [...chunk];
let tokenInsertions = [];
Object.values(patterns).forEach(({ pattern, token }) => {
if (token !== null) {
// Find all occurrences of this pattern
let pos = 0;
while (true) {
pos = findPattern(optimized, pattern, pos);
if (pos === -1) break;
// Mark for token replacement
tokenInsertions.push({
position: pos,
length: pattern.length,
token
});
pos += pattern.length;
}
}
});
// Apply token replacements (in reverse order to maintain indices)
tokenInsertions.sort((a, b) => b.position - a.position)
.forEach(({ position, length, token }) => {
optimized.splice(position, length, 0xFE, token);
});
return {
data: optimized,
tokenMap
};
};
// Helper to find pattern in array
const findPattern = (array, pattern, startPos) => {
for (let i = startPos; i <= array.length - pattern.length; i++) {
let match = true;
for (let j = 0; j < pattern.length; j++) {
if (array[i + j] !== pattern[j]) {
match = false;
break;
}
}
if (match) return i;
}
return -1;
};
// Process a stream
const processStream = async (stream) => {
const reader = stream.getReader();
const writer = new WritableStream({
write(chunk) {
const { data, tokenMap } = processChunk(chunk);
return engine.process(data, { fractalTokens: tokenMap });
}
});
return reader.pipeTo(writer);
};
return {
processStream,
processChunk,
getTokenMap: () => tokenMap
};
};