#!/usr/bin/env node
/**
 * OpenHuman Tools Discovery Script
 *
 * Discovers all available tools from the V8 skills runtime and generates
 * a comprehensive TOOLS.md file following OpenClaw framework standards.
 *
 * Usage: node scripts/tools-generator/discover-tools.js
 */
import { existsSync, mkdirSync, writeFileSync } from "fs";
import { dirname, join } from "path";
import { fileURLToPath } from "url";

import { generateOpenClawMarkdown } from "./openClaw-formatter.js";

const __dirname = dirname(fileURLToPath(import.meta.url));
const PROJECT_ROOT = join(__dirname, "../..");
const AI_DIR = join(PROJECT_ROOT, "rust-core", "ai");
const TOOLS_OUTPUT = join(AI_DIR, "TOOLS.md");

// Environment categories for OpenClaw compatibility
const ENVIRONMENTS = {
  development: {
    name: "Development",
    description: "Local development environment with full access",
  },
  production: {
    name: "Production",
    description: "Production environment with security restrictions",
  },
  testing: {
    name: "Testing",
    description: "Testing environment for automated validation",
  },
};

/**
 * Discovers available tools from V8 skills runtime or fallback sources
 * @returns {Promise<Array>} Array of discovered tools with skill metadata
 */
async function discoverTools() {
  console.log("🔍 Discovering tools from mock registry...");
  const mockTools = generateMockToolsForDevelopment();
  console.log(
    `✅ Using mock data: ${mockTools.length} tools from ${new Set(mockTools.map((t) => t.skillId)).size} skills`,
  );
  return mockTools;
}

/**
 * Generates mock tools data for development (until Tauri integration is complete)
 * This simulates the structure returned by runtime_all_tools()
 */
function generateMockToolsForDevelopment() {
  return [
    {
      skillId: "telegram",
      name: "send_message",
      description: "Send a message to a Telegram chat or user",
      inputSchema: {
        type: "object",
        properties: {
          chat_id: {
            type: "string",
            description: "Telegram chat ID or username",
          },
          message: { type: "string", description: "Message text to send" },
          parse_mode: {
            type: "string",
            enum: ["HTML", "Markdown"],
            description: "Message formatting mode",
          },
        },
        required: ["chat_id", "message"],
      },
    },
    {
      skillId: "telegram",
      name: "get_chat_history",
      description: "Retrieve message history from a Telegram chat",
      inputSchema: {
        type: "object",
        properties: {
          chat_id: {
            type: "string",
            description: "Telegram chat ID or username",
          },
          limit: {
            type: "number",
            description: "Number of messages to retrieve (max 100)",
          },
          offset: { type: "number", description: "Offset for pagination" },
        },
        required: ["chat_id"],
      },
    },
    {
      skillId: "notion",
      name: "create_page",
      description: "Create a new page in Notion workspace",
      inputSchema: {
        type: "object",
        properties: {
          parent_id: {
            type: "string",
            description: "Parent database or page ID",
          },
          title: { type: "string", description: "Page title" },
          content: { type: "array", description: "Page content blocks" },
          properties: {
            type: "object",
            description: "Page properties for database pages",
          },
        },
        required: ["parent_id", "title"],
      },
    },
    {
      skillId: "gmail",
      name: "send_email",
      description: "Send an email via Gmail",
      inputSchema: {
        type: "object",
        properties: {
          to: { type: "string", description: "Recipient email address" },
          subject: { type: "string", description: "Email subject line" },
          body: { type: "string", description: "Email body content" },
          attachments: { type: "array", description: "File attachments" },
        },
        required: ["to", "subject", "body"],
      },
    },
  ];
}

// Removed duplicate functions - now using openClaw-formatter.js

/**
 * Main execution function
 */
async function main() {
  try {
    console.log("🚀 Starting OpenHuman tools discovery...");

    // Discover all available tools
    const tools = await discoverTools();

    if (tools.length === 0) {
      console.warn(
        "⚠️  No tools discovered. This might indicate an issue with the skills runtime.",
      );
    }

    // Ensure AI directory exists
    if (!existsSync(AI_DIR)) {
      console.log(`📁 Creating AI directory: ${AI_DIR}`);
      mkdirSync(AI_DIR, { recursive: true });
    }

    // Generate OpenClaw-compliant markdown
    console.log("📝 Generating OpenClaw-compliant TOOLS.md content...");
    const markdownContent = generateOpenClawMarkdown(tools);

    // Write to output file
    console.log(`💾 Writing TOOLS.md to: ${TOOLS_OUTPUT}`);
    writeFileSync(TOOLS_OUTPUT, markdownContent, "utf8");

    console.log("✅ TOOLS.md generated successfully!");
    console.log(
      `📊 Generated documentation for ${tools.length} tools across ${new Set(tools.map((t) => t.skillId)).size} skills`,
    );
  } catch (error) {
    console.error("❌ Error generating TOOLS.md:", error.message);
    process.exit(1);
  }
}

// Run if called directly
if (import.meta.url === `file://${process.argv[1]}`) {
  main();
}

export { discoverTools, generateMockToolsForDevelopment };