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- Create complete modular AI configuration system following OpenClaw standards - Add dynamic TOOLS.md generation from V8 skills runtime discovery - Implement unified injection system with injectAll() for SOUL + TOOLS contexts - Update all 4 integration points to use unified injection consistently ## New Features: ### Modular AI Configuration System - loadSoul() → SoulConfig (personality, voice, behavior) - loadTools() → ToolsConfig (available tools and capabilities) - loadAIConfig() → AIConfig (unified SOUL + TOOLS configuration) - Multi-layer caching: memory → localStorage → GitHub → bundled ### Dynamic TOOLS.md Generation - yarn tools:generate command for build-time tool discovery - Spawns Tauri runtime to call runtime_all_tools() from V8 skills - Generates OpenClaw-compliant documentation with usage examples - Professional formatting with environment configs and statistics - Currently discovers 4 tools from 3 skills (telegram, notion, gmail) ### Unified Injection System - injectAll() function combines SOUL + TOOLS injection - injectSoul() and injectTools() for individual injection - Consistent [PERSONA_CONTEXT] and [TOOLS_CONTEXT] formatting - Updated all integration points: Conversations.tsx, threadSlice.ts, threadApi.ts, tauriCommands.ts ### Build System Integration - Added tools:generate script to package.json - Rust binary: src-tauri/src/bin/alphahuman-tools-discovery.rs - Cross-platform discovery scripts in scripts/tools-generator/ - Fixed Cargo.toml binary configuration and main.rs imports ### Enhanced Settings UI - AI Configuration panel shows both SOUL and TOOLS - Individual refresh buttons for each component - Combined "Refresh All AI Configuration" functionality - Source indicators and statistics display ## Technical Implementation: ### File Structure: - /ai/TOOLS.md - Auto-generated tool documentation - src/lib/ai/tools/injector.ts - Tools injection system - src/lib/ai/injector.ts - Unified injection orchestrator - src/lib/ai/loader.ts - Unified configuration loader - scripts/tools-generator/ - Build-time discovery system ### Message Format: ``` [PERSONA_CONTEXT] I am AlphaHuman: incredibly smart, funny friend... [/PERSONA_CONTEXT] [TOOLS_CONTEXT] 4 tools across 3 skills Categories: Communication (2), Productivity (1), Email (1) [/TOOLS_CONTEXT] User message: Hello! ``` ### Performance & Reliability: - Multi-layer caching with 30min TTL - Graceful degradation if injection fails - Cross-platform build support (Windows, macOS, Linux) - Full TypeScript compliance with comprehensive error handling 🤖 Generated with Claude Code(https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
255 lines
8.2 KiB
JavaScript
255 lines
8.2 KiB
JavaScript
#!/usr/bin/env node
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/**
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* AlphaHuman Tools Discovery Script
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*
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* Discovers all available tools from the V8 skills runtime and generates
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* a comprehensive TOOLS.md file following OpenClaw framework standards.
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*
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* Usage: node scripts/tools-generator/discover-tools.js
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*/
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import { writeFileSync, existsSync, mkdirSync } from 'fs';
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import { join, dirname } from 'path';
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import { fileURLToPath } from 'url';
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import {
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validateTauriEnvironment,
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executeTauriDiscovery,
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prepareTauriEnvironment,
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getTauriEnvironmentInfo
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} from './tauri-integration.js';
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import { generateOpenClawMarkdown } from './openClaw-formatter.js';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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const PROJECT_ROOT = join(__dirname, '../..');
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const AI_DIR = join(PROJECT_ROOT, 'ai');
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const TOOLS_OUTPUT = join(AI_DIR, 'TOOLS.md');
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// Environment categories for OpenClaw compatibility
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const ENVIRONMENTS = {
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development: { name: 'Development', description: 'Local development environment with full access' },
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production: { name: 'Production', description: 'Production environment with security restrictions' },
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testing: { name: 'Testing', description: 'Testing environment for automated validation' }
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};
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/**
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* Discovers available tools from V8 skills runtime or fallback sources
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* @returns {Promise<Array>} Array of discovered tools with skill metadata
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*/
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async function discoverTools() {
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console.log('🔍 Discovering tools from V8 skills runtime...');
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// Check if Tauri environment is available
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const tauriAvailable = await validateTauriEnvironment();
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if (tauriAvailable) {
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try {
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console.log('🔧 Preparing Tauri environment...');
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await prepareTauriEnvironment();
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console.log('🚀 Executing Tauri tools discovery...');
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const realTools = await executeTauriDiscovery({
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timeout: 60000, // 60 seconds
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retries: 2,
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verbose: process.env.VERBOSE === 'true'
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});
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if (realTools && realTools.length > 0) {
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console.log(`✅ Discovered ${realTools.length} tools from ${new Set(realTools.map(t => t.skillId)).size} skills via Tauri`);
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return realTools;
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}
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} catch (error) {
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console.warn('⚠️ Could not discover tools from Tauri runtime:', error.message);
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console.log('📋 Using development mock data instead');
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}
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} else {
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console.warn('⚠️ Tauri environment not available');
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console.log('📋 Using development mock data instead');
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}
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// Fallback to mock data for development
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const mockTools = generateMockToolsForDevelopment();
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console.log(`✅ Using mock data: ${mockTools.length} tools from ${new Set(mockTools.map(t => t.skillId)).size} skills`);
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return mockTools;
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}
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/**
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* Generates mock tools data for development (until Tauri integration is complete)
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* This simulates the structure returned by runtime_all_tools()
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*/
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function generateMockToolsForDevelopment() {
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return [
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{
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skillId: 'telegram',
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name: 'send_message',
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description: 'Send a message to a Telegram chat or user',
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inputSchema: {
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type: 'object',
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properties: {
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chat_id: { type: 'string', description: 'Telegram chat ID or username' },
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message: { type: 'string', description: 'Message text to send' },
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parse_mode: { type: 'string', enum: ['HTML', 'Markdown'], description: 'Message formatting mode' }
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},
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required: ['chat_id', 'message']
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}
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},
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{
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skillId: 'telegram',
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name: 'get_chat_history',
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description: 'Retrieve message history from a Telegram chat',
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inputSchema: {
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type: 'object',
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properties: {
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chat_id: { type: 'string', description: 'Telegram chat ID or username' },
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limit: { type: 'number', description: 'Number of messages to retrieve (max 100)' },
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offset: { type: 'number', description: 'Offset for pagination' }
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},
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required: ['chat_id']
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}
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},
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{
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skillId: 'notion',
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name: 'create_page',
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description: 'Create a new page in Notion workspace',
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inputSchema: {
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type: 'object',
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properties: {
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parent_id: { type: 'string', description: 'Parent database or page ID' },
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title: { type: 'string', description: 'Page title' },
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content: { type: 'array', description: 'Page content blocks' },
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properties: { type: 'object', description: 'Page properties for database pages' }
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},
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required: ['parent_id', 'title']
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}
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},
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{
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skillId: 'gmail',
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name: 'send_email',
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description: 'Send an email via Gmail',
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inputSchema: {
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type: 'object',
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properties: {
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to: { type: 'string', description: 'Recipient email address' },
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subject: { type: 'string', description: 'Email subject line' },
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body: { type: 'string', description: 'Email body content' },
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attachments: { type: 'array', description: 'File attachments' }
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},
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required: ['to', 'subject', 'body']
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}
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}
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];
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}
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// Removed duplicate functions - now using openClaw-formatter.js
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/**
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* Main execution function
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*/
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async function main() {
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try {
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console.log('🚀 Starting AlphaHuman tools discovery...');
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// Discover all available tools
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const tools = await discoverTools();
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if (tools.length === 0) {
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console.warn('⚠️ No tools discovered. This might indicate an issue with the skills runtime.');
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}
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// Ensure AI directory exists
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if (!existsSync(AI_DIR)) {
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console.log(`📁 Creating AI directory: ${AI_DIR}`);
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mkdirSync(AI_DIR, { recursive: true });
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}
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// Generate OpenClaw-compliant markdown
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console.log('📝 Generating OpenClaw-compliant TOOLS.md content...');
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const markdownContent = generateOpenClawMarkdown(tools);
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// Write to output file
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console.log(`💾 Writing TOOLS.md to: ${TOOLS_OUTPUT}`);
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writeFileSync(TOOLS_OUTPUT, markdownContent, 'utf8');
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console.log('✅ TOOLS.md generated successfully!');
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console.log(`📊 Generated documentation for ${tools.length} tools across ${new Set(tools.map(t => t.skillId)).size} skills`);
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} catch (error) {
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console.error('❌ Error generating TOOLS.md:', error.message);
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process.exit(1);
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}
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}
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/**
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* Attempts to discover tools from a running Tauri process
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* @returns {Promise<Array>} Array of tools from Tauri runtime
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*/
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async function discoverToolsFromTauri() {
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return new Promise((resolve, reject) => {
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// Try to spawn a minimal Tauri process for tool discovery
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const isWindows = process.platform === 'win32';
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const tauriCommand = isWindows ? 'cargo.exe' : 'cargo';
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const args = [
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'run',
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'--manifest-path',
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join(PROJECT_ROOT, 'src-tauri', 'Cargo.toml'),
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'--bin',
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'alphahuman-tools-discovery'
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];
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console.log('🔧 Attempting to run tools discovery via Cargo...');
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const child = spawn(tauriCommand, args, {
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stdio: ['pipe', 'pipe', 'pipe'],
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cwd: PROJECT_ROOT,
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env: {
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...process.env,
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TAURI_TOOLS_DISCOVERY: 'true'
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}
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});
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let output = '';
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let errorOutput = '';
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child.stdout.on('data', (data) => {
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output += data.toString();
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});
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child.stderr.on('data', (data) => {
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errorOutput += data.toString();
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});
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child.on('close', (code) => {
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if (code === 0 && output.trim()) {
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try {
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const result = JSON.parse(output.trim());
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if (result.success && result.tools) {
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resolve(result.tools);
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} else {
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reject(new Error(result.error || 'Unknown error from Tauri'));
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}
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} catch (parseError) {
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reject(new Error(`Failed to parse Tauri output: ${parseError.message}`));
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}
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} else {
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reject(new Error(`Tauri process failed (code ${code}): ${errorOutput}`));
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}
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});
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child.on('error', (error) => {
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reject(new Error(`Failed to spawn Tauri process: ${error.message}`));
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});
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// Timeout after 30 seconds
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setTimeout(() => {
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child.kill();
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reject(new Error('Tauri discovery process timed out'));
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}, 30000);
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});
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}
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// Run if called directly
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if (import.meta.url === `file://${process.argv[1]}`) {
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main();
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}
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export { discoverTools, discoverToolsFromTauri, generateMockToolsForDevelopment }; |