Files
openhuman/scripts/tools-generator/discover-tools.js
T
M3gA-Mind 01c6fd9421 refactor: streamline JSON formatting and enhance documentation clarity
- Consolidated JSON structure in `.mcp.json` and `.claude/mcp.json` for improved readability.
- Updated `CLAUDE.md` and other documentation files to enhance formatting consistency and clarity.
- Improved the organization of agent roles and initialization procedures in `AGENTS.md`, `BOOTSTRAP.md`, and `IDENTITY.md`.
- Enhanced user understanding and personalization strategies in `USER.md` and `MEMORY.md`.
- Refined tool generation scripts for better error handling and output formatting in `discover-tools.js` and `openClaw-formatter.js`.
2026-03-10 05:31:26 +05:30

270 lines
8.3 KiB
JavaScript

#!/usr/bin/env node
/**
* AlphaHuman 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';
import {
executeTauriDiscovery,
getTauriEnvironmentInfo,
prepareTauriEnvironment,
validateTauriEnvironment,
} from './tauri-integration.js';
const __dirname = dirname(fileURLToPath(import.meta.url));
const PROJECT_ROOT = join(__dirname, '../..');
const AI_DIR = join(PROJECT_ROOT, '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 V8 skills runtime...');
// Check if Tauri environment is available
const tauriAvailable = await validateTauriEnvironment();
if (tauriAvailable) {
try {
console.log('🔧 Preparing Tauri environment...');
await prepareTauriEnvironment();
console.log('🚀 Executing Tauri tools discovery...');
const realTools = await executeTauriDiscovery({
timeout: 60000, // 60 seconds
retries: 2,
verbose: process.env.VERBOSE === 'true',
});
if (realTools && realTools.length > 0) {
console.log(
`✅ Discovered ${realTools.length} tools from ${new Set(realTools.map(t => t.skillId)).size} skills via Tauri`
);
return realTools;
}
} catch (error) {
console.warn('⚠️ Could not discover tools from Tauri runtime:', error.message);
console.log('📋 Using development mock data instead');
}
} else {
console.warn('⚠️ Tauri environment not available');
console.log('📋 Using development mock data instead');
}
// Fallback to mock data for development
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 AlphaHuman 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);
}
}
/**
* Attempts to discover tools from a running Tauri process
* @returns {Promise<Array>} Array of tools from Tauri runtime
*/
async function discoverToolsFromTauri() {
return new Promise((resolve, reject) => {
// Try to spawn a minimal Tauri process for tool discovery
const isWindows = process.platform === 'win32';
const tauriCommand = isWindows ? 'cargo.exe' : 'cargo';
const args = [
'run',
'--manifest-path',
join(PROJECT_ROOT, 'src-tauri', 'Cargo.toml'),
'--bin',
'alphahuman-tools-discovery',
];
console.log('🔧 Attempting to run tools discovery via Cargo...');
const child = spawn(tauriCommand, args, {
stdio: ['pipe', 'pipe', 'pipe'],
cwd: PROJECT_ROOT,
env: { ...process.env, TAURI_TOOLS_DISCOVERY: 'true' },
});
let output = '';
let errorOutput = '';
child.stdout.on('data', data => {
output += data.toString();
});
child.stderr.on('data', data => {
errorOutput += data.toString();
});
child.on('close', code => {
if (code === 0 && output.trim()) {
try {
const result = JSON.parse(output.trim());
if (result.success && result.tools) {
resolve(result.tools);
} else {
reject(new Error(result.error || 'Unknown error from Tauri'));
}
} catch (parseError) {
reject(new Error(`Failed to parse Tauri output: ${parseError.message}`));
}
} else {
reject(new Error(`Tauri process failed (code ${code}): ${errorOutput}`));
}
});
child.on('error', error => {
reject(new Error(`Failed to spawn Tauri process: ${error.message}`));
});
// Timeout after 30 seconds
setTimeout(() => {
child.kill();
reject(new Error('Tauri discovery process timed out'));
}, 30000);
});
}
// Run if called directly
if (import.meta.url === `file://${process.argv[1]}`) {
main();
}
export { discoverTools, discoverToolsFromTauri, generateMockToolsForDevelopment };