Dragon Code Parser

Figure 1: Dragon Code Parser architecture with port-specific handlers

Overview

Dragon Code is a semantic command language designed to provide an intuitive yet powerful interface to the DragonFire system. Its parser translates natural language-like commands into structured operations that are routed to the appropriate port-specific handlers for execution.

Dragon Code Syntax

Dragon Code follows a command-verb structure with method chaining capabilities:

// Basic syntax:
COMMAND(port).METHOD(parameters).METHOD(parameters)...

// Examples:
GET(210).SELECT("profile").FILTER(lastLogin > "2025-01-01")
CREATE(400).FILE("data.bin").WITH(contents).COMPRESS()
COMPUTE(500).VECTOR([1,2,3]).CROSS([4,5,6])

Command Structure

Port-Specific Handlers

Each geometric port range has specialized handlers that understand the context and requirements of its domain:

• System Ports (000-099): System configuration and monitoring operations
• User Ports (100-199): User authentication and profile management
• Data Ports (200-299): Data retrieval and manipulation operations
• Finance Ports (300-399): Financial transactions and accounting
• Storage Ports (400-499): File and object storage operations
• Knowledge Ports (500-599): AI inference and knowledge processing
• DragonFire Ports (600-699): Core system access
• Portal Ports (700-799): External integrations

Command Routing

When a Dragon Code command is processed, it follows these steps:

1. Tokenization: The command is broken into tokens
2. Parsing: Tokens are converted to a semantic command object
3. Port Resolution: The command is routed to the appropriate port handler
4. Validation: The handler validates the command structure and parameters
5. Execution: The handler processes the command
6. Response: Results are returned in the requested format

Error Handling

The Dragon Code Parser provides detailed error information when commands cannot be processed:

try {
  const result = await dragonfire.execute(`
    GET(900).FILE("data.txt")
  `);
} catch (error) {
  console.error(error);
  // Output:
  // {
  //   code: "INVALID_PORT",
  //   message: "Port 900 is outside valid range (000-799)",
  //   position: { line: 2, column: 9 },
  //   suggestion: "Use port range 400-499 for file operations"
  // }
}

Chain Operations

Commands can be chained to create complex operation sequences:

// Complex data pipeline example
const result = await dragonfire.execute(`
  GET(210)
    .SELECT("transactions")
    .FILTER(date > "2025-01-01" AND amount > 1000)
    .SORT(date DESC)
    .TRANSFORM(400, item => {
      return {
        id: item.id,
        date: item.date,
        normalizedAmount: item.amount / 100
      };
    })
    .FORMAT("JSON")
`);

// Equivalent to the JavaScript SDK code:
const result = await dragonfire
  .get(210)
  .select("transactions")
  .filter(item => item.date > new Date("2025-01-01") && item.amount > 1000)
  .sort({ field: "date", direction: "desc" })
  .transform(400, item => ({
    id: item.id,
    date: item.date,
    normalizedAmount: item.amount / 100
  }))
  .format("json")
  .execute();

Code Examples

User Data Operations (Port 200-299)

// Get user profile with preferences
const profile = await dragonfire.execute(`
  GET(210)
    .SELECT("profile")
    .INCLUDE(["preferences", "settings"])
    .FORMAT("OBJECT")
`);

// Create a new data record
const newRecord = await dragonfire.execute(`
  CREATE(210)
    .RECORD("contacts")
    .WITH({
      name: "Jane Doe",
      email: "jane@example.com",
      phone: "+1-555-123-4567"
    })
`);

// Update existing data
const updateResult = await dragonfire.execute(`
  UPDATE(210)
    .RECORD("contacts", "id123")
    .SET({ 
      email: "jane.doe@example.com",
      status: "active"
    })
`);

Financial Operations (Port 300-399)

// Check account balance
const balance = await dragonfire.execute(`
  GET(300)
    .BALANCE("accountXYZ")
    .AS("USD")
`);

// Create a purchase transaction
const purchase = await dragonfire.execute(`
  CREATE(300)
    .TRANSACTION("purchase")
    .WITH({
      amount: 129.99,
      currency: "USD",
      items: [
        { id: "item123", quantity: 1, price: 129.99 }
      ],
      paymentMethod: "card456"
    })
`);

AI Knowledge Operations (Port 500-599)

// Perform vector similarity search
const similar = await dragonfire.execute(`
  COMPUTE(500)
    .SIMILARITY(userVector, knowledgeBase)
    .TOP(5)
    .THRESHOLD(0.85)
`);

// Generate text completion
const completion = await dragonfire.execute(`
  GENERATE(500)
    .TEXT()
    .FROM(prompt)
    .MAX_TOKENS(100)
    .TEMPERATURE(0.7)
`);