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DragonCode SDK: Semantic Network Implementation

Alpha v0.8.2

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
Alpha Status Notice: The Semantic Network implementation is currently in Alpha. APIs may change before the final release.

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
  };
};