# Using npm
npm install @dragonfire/dragoncode-sdk

# Using yarn
yarn add @dragonfire/dragoncode-sdk

import { DragonFireSDK } from '@dragonfire/dragoncode-sdk';

// Initialize SDK with configuration
const dragon = new DragonFireSDK({
  apiKey: 'YOUR_API_KEY',
  server: 'wss://api.dragonfire.io',
  region: 'us-west',
  resonancePattern: 'phi'  // 'phi', 'pi', 'sqrt2', 'sqrt3', 'e'
});

// Connect to DragonFire service
await dragon.connect();

// Ready to use
console.log('DragonCode SDK initialized and ready');

// Core SDK Architecture
class DragonFireSDK {
  constructor(config = {}) {
    this.PHI = 1.618033988749895;
    this.SQRT6_HALF = 1.2247448713915890491;
    
    // Initialize components
    this.socket = new DragonSocket(config.server || 'wss://api.dragonfire.io');
    this.wallet = new DragonWallet(this);
    this.hexStream = new HexStreamCodec();
    this.rwt = new SecurityManager();
    this.vectorEngine = new VectorPathEngine();
  }
  
  // Process semantic operation through spatial frames
  async process(semanticOpString) {
    // 1. Parse semantic operation
    const {verb, recipient, amount, unit} = this.parseSemanticOp(semanticOpString);
    
    // 2. Map to 10-bit opcodes using port-action-entity structure
    const opcodes = this.mapToOpcodes(verb, recipient, amount, unit);
    
    // 3. Create spatial frames with phi-resonant coordinates
    const frames = this.vectorEngine.createFrames(opcodes);
    
    // 4. Create binary bridges between frames
    this.vectorEngine.createBinaryBridges(frames);
    
    // 5. Execute through resonant vector paths
    return this.vectorEngine.execute(frames);
  }
}

// Mapping human-readable operations to 10-bit opcodes
mapToOpcodes(verb, recipient, amount, unit) {
  // Port definitions (3 bits) - geometric dimensions
  const PORTS = {
    SYSTEM:     0b000, // Point
    USER:       0b001, // Line
    FINANCE:    0b010, // Triangle
    CREATOR:    0b011, // Tetrahedron
    STORAGE:    0b100, // Cube
    KNOWLEDGE:  0b101, // Octahedron
    DRAGONFIRE: 0b110, // Icosahedron
    PORTAL:     0b111, // Dodecahedron
  };
  
  // Action definitions (3 bits)
  const ACTIONS = {
    GET:    0b000,
    PUT:    0b001,
    UPDATE: 0b010,
    DELETE: 0b011,
    SECURE: 0b100,
    VERIFY: 0b101,
    SIGN:   0b110,
    AUTH:   0b111,
  };
  
  // Entity definitions (4 bits)
  const ENTITIES = {
    SYSTEM:      0b0000,
    USER:        0b0001,
    TOKEN:       0b0010,
    WALLET:      0b0011,
    TRANSACTION: 0b1001,
    MESSAGE:     0b0110,
    // ...16 total entities
  };
  
  // Map verb to port
  const port = verb === 'send' ? PORTS.FINANCE : 
               verb === 'learn' ? PORTS.KNOWLEDGE : PORTS.SYSTEM;
               
  // Map to action
  const action = verb === 'send' ? ACTIONS.PUT : ACTIONS.GET;
  
  // Map to entity
  const entity = unit === 'dollar' ? ENTITIES.TRANSACTION : ENTITIES.SYSTEM;
  
  // Create 10-bit opcode
  return [(port << 7) | (action << 4) | entity];
}

class VectorPathEngine {
  constructor() {
    this.PHI = 1.618033988749895;
    this.SQRT6_HALF = 1.2247448713915890491;
  }
  
  // Map opcode to geometric coordinates
  mapOpcodeToGeometry(opcode) {
    // Extract components
    const port = (opcode >> 7) & 0b111;
    const action = (opcode >> 4) & 0b111;
    const entity = opcode & 0b1111;
    
    // Map to phi-resonant octahedral coordinates
    return {
      x: port * this.PHI,
      y: action * this.SQRT6_HALF,
      z: entity * this.PHI / 2.0
    };
  }
  
  // Check for binary bridge between frames
  hasBinaryBridge(vector1, vector2) {
    // Convert vectors to binary representation
    const bin1 = this.vectorToBinary(vector1);
    const bin2 = this.vectorToBinary(vector2);
    
    // Count matching 1s - connection threshold is 3
    let matches = 0;
    for (let i = 0; i < bin1.length; i++) {
      if (bin1[i] === 1 && bin2[i] === 1) matches++;
    }
    
    return matches >= 3;
  }
  
  // Find optimal path through phi-resonance
  findOptimalPath(frames) {
    // Start with first frame
    let path = [frames[0]];
    let current = frames[0];
    
    while (path.length < frames.length) {
      // Find frame with highest phi-resonance to current
      let bestNext = null;
      let maxResonance = -1;
      
      for (const frame of frames) {
        if (!path.includes(frame)) {
          const resonance = this.calculatePhiResonance(current, frame);
          if (resonance > maxResonance) {
            maxResonance = resonance;
            bestNext = frame;
          }
        }
      }
      
      if (bestNext) {
        path.push(bestNext);
        current = bestNext;
      } else {
        break;
      }
    }
    
    return path;
  }
}

// Create binary bridges between frames
createBinaryBridges(frames) {
  // For each frame pair
  for (let i = 0; i < frames.length; i++) {
    for (let j = i + 1; j < frames.length; j++) {
      // Get vector representations
      const vector1 = this.mapOpcodeToGeometry(frames[i].opcodeChain[0]);
      const vector2 = this.mapOpcodeToGeometry(frames[j].opcodeChain[0]);
      
      // Check for binary bridge
      if (this.hasBinaryBridge(vector1, vector2)) {
        // Create bridge between frames
        frames[i].bridges = frames[i].bridges || [];
        frames[j].bridges = frames[j].bridges || [];
        
        frames[i].bridges.push(j);
        frames[j].bridges.push(i);
      }
    }
  }
  
  return frames;
}

class DragonWallet {
  constructor(dragonFire) {
    this.dragonFire = dragonFire;
    this.address = '';
    this.PHI = 1.618033988749895;
  }
  
  // Send payment through spatial frames
  async send(recipient, amount, currency = 'dollar') {
    // Create transaction data
    const txData = {
      recipient,
      amount,
      currency,
      timestamp: Date.now()
    };
    
    // Create frames with phi-resonant coordinates
    const frames = [
      // Frame 1: Authentication
      {
        id: this._generateUniqueID(),
        spaceVector: [this.PHI, 0, 0],
        opcodeChain: [0b001_111_0010], // USER.AUTH.TOKEN
        payload: { authToken: this.dragonFire.rwt.getToken() }
      },
      
      // Frame 2: Balance check
      {
        id: this._generateUniqueID(),
        spaceVector: [this.PHI, this.PHI, 0],
        opcodeChain: [0b010_000_0011], // FINANCE.GET.WALLET
        payload: { address: this.address }
      },
      
      // Frame 3: Transaction creation
      {
        id: this._generateUniqueID(),
        spaceVector: [this.PHI, this.PHI, this.PHI],
        opcodeChain: [0b010_001_1001], // FINANCE.PUT.TRANSACTION
        payload: txData
      }
    ];
    
    // Create binary bridges
    this.dragonFire.vectorEngine.createBinaryBridges(frames);
    
    // Execute transaction through vector paths
    return this.dragonFire.vectorEngine.execute(frames);
  }
}

// Initialize SDK
const dragon = new DragonFireSDK({ apiKey: 'YOUR_API_KEY' });
await dragon.connect();

// Create a new wallet
const walletInfo = await dragon.wallet.create();
console.log('New wallet created:', walletInfo.address);

// Send payment
const result = await dragon.wallet.send('john.doe', 10.5, 'dollar');
console.log('Payment sent, transaction ID:', result.txId);

// Check balance
const balance = await dragon.wallet.getBalance();
console.log(`Current balance: ${balance.amount} ${balance.currency}`);

class HexStreamCodec {
  constructor(config = {}) {
    this.level = config.level || 3; // SuperHex level
    this.bufferSize = config.bufferSize || 65536; // 64K buffer
    this.blockSize = 64; // 64-bit blocks
    this.frameSize = 1024; // 1024-bit frames
    this.turtleModule = new TurtleModule();
  }
  
  // Generate De Bruijn sequence with timestamp-based seed
  generateSequence(timestamp, subsequenceLength = 10) {
    // Create seed from timestamp
    const seed = this._createSeed(timestamp, subsequenceLength);
    
    // Generate sequence
    return this._generateDeBruijnSequence(seed, subsequenceLength);
  }
  
  // Compress data using SuperHex transformations
  compress(data) {
    // Convert to bit array
    const bitArray = this._toBitArray(data);
    
    // Chunk into blocks
    const blocks = this._chunkIntoBlocks(bitArray);
    
    // Apply SuperHex transformation
    const transformedBlocks = this._applySuperHexTransform(blocks);
    
    // Apply Turtle module for final compression
    return this.turtleModule.apply(transformedBlocks);
  }
}

// Initialize SDK
const dragon = new DragonFireSDK();

// Compress data
const originalData = "Lorem ipsum dolor sit amet, consectetur adipiscing elit...";
const compressed = dragon.hexStream.compress(originalData);
console.log(`Compressed size: ${compressed.length} bytes`);

// Decompress data
const decompressed = dragon.hexStream.decompress(compressed);
console.log(`Decompressed size: ${decompressed.length} bytes`);

// Create compression stream
const stream = dragon.hexStream.createStream({
  level: 5,
  blockSize: 128
});

// Pipe data through stream
sourceStream.pipe(stream).pipe(destinationStream);

// Example 1: Simple financial transaction
const df = new DragonFireSDK();
await df.connect();
const result = await df.process('send.john.10.dollar');
console.log(result);

// Example 2: Direct wallet usage
await df.wallet.send('sarah', 25.50, 'dollar');

// Example 3: Learning operation
await df.process('learn.quantum_physics');

// Example 4: Storage operation
await df.process('store.document');

// Example 5: Low-level vector processing
const opcodes = [(0b010 << 7) | (0b001 << 4) | 0b1001]; // FINANCE.PUT.TRANSACTION
const frames = df.vectorEngine.createFrames(opcodes, {amount: 10});
const result = await df.vectorEngine.execute(frames);

// Create multiple frames for a complex transaction
const frames = [
  // Frame 1: Authentication
  {
    id: generateUniqueID(),
    opcodeChain: [0b001_111_0010], // USER.AUTH.TOKEN
    payload: { authToken: 'your-auth-token' }
  },
  
  // Frame 2: Retrieve user profile
  {
    id: generateUniqueID(),
    opcodeChain: [0b001_000_0001], // USER.GET.USER
    payload: { userId: 'user123' }
  },
  
  // Frame 3: Create transaction
  {
    id: generateUniqueID(),
    opcodeChain: [0b010_001_1001], // FINANCE.PUT.TRANSACTION
    payload: {
      recipient: 'recipient123',
      amount: 50,
      currency: 'dollar',
      memo: 'Payment for services'
    }
  }
];

// Map to vector space and create binary bridges
const vectorFrames = dragon.vectorEngine.vectorizeFrames(frames);
dragon.vectorEngine.createBinaryBridges(vectorFrames);

// Execute through optimal phi-resonant path
const result = await dragon.vectorEngine.execute(vectorFrames);
console.log('Transaction result:', result);

// Access the knowledge domain
const knowledgePort = 0b101; // KNOWLEDGE port (octahedron)

// Create a learning operation
const learnOpcode = (knowledgePort << 7) | (0b000 << 4) | 0b0101; // KNOWLEDGE.GET.CONCEPT

// Create frame
const frame = {
  id: generateUniqueID(),
  opcodeChain: [learnOpcode],
  payload: { subject: 'quantum_physics', depth: 3 }
};

// Execute learning operation
const result = await dragon.vectorEngine.execute([frame]);

// Process the knowledge result
console.log('Knowledge retrieved:');
console.log(`Subject: ${result.subject}`);
console.log(`Concepts: ${result.concepts.length}`);
result.concepts.forEach(concept => {
  console.log(`- ${concept.name}: ${concept.description}`);
});

// Define a custom resonance pattern
const customPattern = {
  name: 'fibonacci',
  values: [1, 1, 2, 3, 5, 8, 13, 21, 34, 55],
  transformFunction: (value, index, dimension) => {
    return value * Math.pow(1.618, dimension - 1);
  }
};

// Register the pattern with the SDK
dragon.registerResonancePattern(customPattern);

// Use custom pattern for operations
dragon.setResonancePattern('fibonacci');

// Process operation with custom pattern
const result = await dragon.process('send.john.10.dollar');

// Access the vector path engine directly
const engine = dragon.vectorEngine;

// Create custom vector points in phi-resonant space
const points = [
  { x: 1.618, y: 0, z: 0 },
  { x: 1.618, y: 1.618, z: 0 },
  { x: 1.618, y: 1.618, z: 1.618 },
  { x: 2.618, y: 1.618, z: 1.618 }
];

// Calculate resonances between points
const resonanceMatrix = engine.calculateResonanceMatrix(points);
console.log('Resonance matrix:', resonanceMatrix);

// Find optimal path through points
const optimalPath = engine.findOptimalPath(points, resonanceMatrix);
console.log('Optimal path indices:', optimalPath);

// Create vector frames from points
const frames = engine.createFramesFromVectors(points, {
  // Payload data to attach to each frame
  payload: { operation: 'custom-vector-operation' }
});

// Execute through custom vector path
const result = await engine.execute(frames, {
  // Override default execution parameters
  resonanceThreshold: 0.8,
  maxHops: 5,
  executionMode: 'phi-resonant'
});

// Define custom port mappings
const customPorts = {
  QUANTUM:    0b000,
  TEMPORAL:   0b001,
  SPATIAL:    0b010,
  ENERGETIC:  0b011,
  HARMONIC:   0b100,
  RESONANT:   0b101,
  CONSCIOUS:  0b110,
  EMERGENT:   0b111
};

// Define custom actions
const customActions = {
  OBSERVE:  0b000,
  CREATE:   0b001,
  MODIFY:   0b010,
  DISSOLVE: 0b011,
  AMPLIFY:  0b100,
  DAMPEN:   0b101,
  MERGE:    0b110,
  SPLIT:    0b111
};

// Define custom entities
const customEntities = {
  WAVE:           0b0000,
  PARTICLE:       0b0001,
  FIELD:          0b0010,
  VIBRATION:      0b0011,
  PATTERN:        0b0100,
  FREQUENCY:      0b0101,
  ENERGY:         0b0110,
  INFORMATION:    0b0111,
  // ... more entities
};

// Register custom opcode mappings
dragon.registerOpcodeMappings({
  ports: customPorts,
  actions: customActions,
  entities: customEntities
});

// Use custom mappings
const customOpcode = (customPorts.QUANTUM << 7) | (customActions.OBSERVE << 4) | customEntities.WAVE;
const frame = {
  id: generateUniqueID(),
  opcodeChain: [customOpcode],
  payload: { parameters: { precision: 0.0001 } }
};

// Execute with custom opcode
const result = await dragon.vectorEngine.execute([frame]);