import { useState, useRef, useEffect } from 'react' import { motion, AnimatePresence } from 'framer-motion' import { FaRobot, FaBrain, FaCode, FaDatabase, FaCloud, FaShieldAlt, FaChartLine, FaProjectDiagram, FaBug, FaFileCode, FaGitAlt, FaDocker, FaServer, FaMobile, FaPalette, FaGlobe, FaLock, FaNetworkWired, FaMemory, FaMicrochip, FaCogs, FaRocket, FaTerminal, FaBook, FaGraduationCap, FaLightbulb, FaMagic, FaTools, FaRegClock, FaSearch, FaFilter, FaDownload, FaUpload, FaSave, FaTrash, FaEdit, FaCopy, FaPaste, FaUndo, FaRedo, FaPlay, FaStop, FaPause, FaStepForward, FaStepBackward, FaExpand, FaCompress, FaFullscreen, FaRegWindowMaximize, FaRegWindowMinimize, FaWindowClose, FaRegWindowRestore, FaDesktop, FaLaptop, FaTablet, FaMobileAlt, FaTv, FaGamepad, FaHeadphones, FaMicrophone, FaVideo, FaCamera, FaImage, FaFilm, FaMusic, FaPodcast, FaBroadcastTower, FaSatellite, FaWifi, FaEthernet, FaUsb, FaBluetooth, FaSimCard, FaSdCard, FaHdd, FaCompactDisc, FaPrint, FaScanner, FaKeyboard, FaMouse, FaGamepadAlt, FaJoystick, FaVrCardboard, FaGlasses, FaWatch, FaClock, FaStopwatch } from 'react-icons/fa' import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter' import { vscDarkPlus } from 'react-syntax-highlighter/dist/cjs/styles/prism' import toast from 'react-hot-toast' export default function AIAgent({ language, theme }) { const [activeModel, setActiveModel] = useState('code-assistant') const [messages, setMessages] = useState([]) const [input, setInput] = useState('') const [isProcessing, setIsProcessing] = useState(false) const [selectedCapability, setSelectedCapability] = useState('code-generation') const [context, setContext] = useState({}) const [models] = useState([ { id: 'code-assistant', name: 'Code Assistant', icon: FaCode, description: 'Full-stack programming assistant' }, { id: 'database-expert', name: 'Database Expert', icon: FaDatabase, description: 'Database design and optimization' }, { id: 'cloud-architect', name: 'Cloud Architect', icon: FaCloud, description: 'Cloud infrastructure and deployment' }, { id: 'security-specialist', name: 'Security Specialist', icon: FaShieldAlt, description: 'Security analysis and protection' }, { id: 'performance-analyst', name: 'Performance Analyst', icon: FaChartLine, description: 'Performance optimization' }, { id: 'project-manager', name: 'Project Manager', icon: FaProjectDiagram, description: 'Project planning and management' }, { id: 'debugger', name: 'Bug Hunter', icon: FaBug, description: 'Debug and fix issues' }, { id: 'documentation', name: 'Documentation', icon: FaBook, description: 'Generate documentation' }, { id: 'testing', name: 'Testing Expert', icon: FaVrCardboard, description: 'Automated testing' }, { id: 'deployment', name: 'Deployment', icon: FaRocket, description: 'CI/CD and deployment' } ]) const capabilities = [ { id: 'code-generation', name: 'Code Generation', icon: FaCode }, { id: 'code-review', name: 'Code Review', icon: FaSearch }, { id: 'refactoring', name: 'Refactoring', icon: FaEdit }, { id: 'optimization', name: 'Optimization', icon: FaRocket }, { id: 'debugging', name: 'Debugging', icon: FaBug }, { id: 'testing', name: 'Testing', icon: FaFlask }, { id: 'documentation', name: 'Documentation', icon: FaBook }, { id: 'architecture', name: 'Architecture', icon: FaProjectDiagram }, { id: 'security', name: 'Security', icon: FaShieldAlt }, { id: 'performance', name: 'Performance', icon: FaChartLine }, { id: 'database', name: 'Database', icon: FaDatabase }, { id: 'api', name: 'API Design', icon: FaNetworkWired }, { id: 'ui-ux', name: 'UI/UX', icon: FaPalette }, { id: 'mobile', name: 'Mobile Dev', icon: FaMobile }, { id: 'web', name: 'Web Dev', icon: FaGlobe }, { id: 'devops', name: 'DevOps', icon: FaServer }, { id: 'ml', name: 'Machine Learning', icon: FaBrain }, { id: 'blockchain', name: 'Blockchain', icon: FaLink }, { id: 'iot', name: 'IoT', icon: FaWifi }, { id: 'gaming', name: 'Game Dev', icon: FaGamepad } ] const handleSendMessage = async () => { if (!input.trim()) return const userMessage = { id: Date.now(), type: 'user', content: input, capability: selectedCapability, model: activeModel, timestamp: new Date() } setMessages(prev => [...prev, userMessage]) setInput('') setIsProcessing(true) try { // Simulate AI processing await new Promise(resolve => setTimeout(resolve, 2000)) const aiResponse = await generateAIResponse(input, selectedCapability, activeModel) const assistantMessage = { id: Date.now() + 1, type: 'assistant', content: aiResponse, capability: selectedCapability, model: activeModel, timestamp: new Date() } setMessages(prev => [...prev, assistantMessage]) } catch (error) { toast.error(language === 'fa' ? 'خطا در پردازش درخواست' : 'Error processing request') } finally { setIsProcessing(false) } } const generateAIResponse = async (prompt, capability, model) => { const responses = { 'code-generation': `// Generated code for: ${prompt}\nfunction generateSolution() {\n // AI-generated implementation\n return "Solution generated by ${model}";\n}`, 'code-review': `Code Review Results:\n✓ Code follows best practices\n✓ No security vulnerabilities detected\n⚠ Consider optimizing performance\n✓ Documentation is complete`, 'refactoring': `Refactored Code:\n// Improved version with better structure\nclass RefactoredSolution {\n constructor() {\n this.optimized = true;\n }\n}`, 'debugging': `Debug Analysis:\n🐛 Issue identified in line 42\n🔧 Suggested fix: Initialize variable before use\n✅ Solution implemented successfully`, 'testing': `Test Coverage Report:\n✓ Unit tests: 95%\n✓ Integration tests: 88%\n✓ E2E tests: 92%\n📊 Overall coverage: 92%`, 'documentation': `Generated Documentation:\n# API Documentation\n\n## Overview\nThis module provides...\n\n## Installation\n\`\`\`bash\nnpm install package\n\`\`\`\n\n## Usage\n\`\`\`javascript\nimport { module } from 'package';\n\`\`\``, 'architecture': `Architecture Recommendation:\n🏗️ Pattern: Microservices\n📊 Scalability: High\n🔒 Security: Enterprise grade\n⚡ Performance: Optimized`, 'security': `Security Analysis:\n🔒 SSL/TLS: Configured\n🛡️ Firewall: Active\n🔐 Authentication: OAuth 2.0\n✅ No vulnerabilities found`, 'performance': `Performance Metrics:\n⚡ Response time: 45ms\n💾 Memory usage: 128MB\n📈 Throughput: 1000 req/s\n🎯 Score: 95/100`, 'database': `Database Schema:\n📊 Tables: Optimized\n🔍 Indexes: Properly configured\n⚡ Queries: Optimized\n💾 Storage: Efficient`, 'api': `API Design:\n🌐 RESTful: Yes\n📝 Documentation: Complete\n🔒 Security: JWT auth\n⚡ Performance: High`, 'ui-ux': `UI/UX Recommendations:\n🎨 Design: Modern\n📱 Responsive: Yes\n♿ Accessible: WCAG 2.1\n⚡ Performance: Optimized`, 'mobile': `Mobile Solution:\n📱 Platform: Cross-platform\n⚡ Performance: Native-like\n🔋 Battery: Optimized\n📦 Size: Minimal`, 'web': `Web Solution:\n🌐 Framework: Next.js\n⚡ Performance: Optimized\n🔒 Security: HTTPS\n📱 Responsive: Yes`, 'devops': `DevOps Pipeline:\n🚀 CI/CD: Automated\n🐳 Docker: Containerized\n☁️ Cloud: AWS\n📊 Monitoring: Enabled`, 'ml': `ML Solution:\n🧠 Model: Neural Network\n📊 Accuracy: 98%\n⚡ Training: Optimized\n🔮 Prediction: Real-time`, 'blockchain': `Blockchain Solution:\n⛓️ Network: Ethereum\n🔐 Smart Contract: Audited\n⚡ Gas: Optimized\n🔒 Security: High`, 'iot': `IoT Solution:\n📡 Devices: Connected\n🔌 Protocol: MQTT\n⚡ Real-time: Yes\n🔒 Security: Encrypted`, 'gaming': `Game Development:\n🎮 Engine: Unity\n⚡ Performance: 60 FPS\n🎨 Graphics: 4K\n🎯 Gameplay: Smooth` } return responses[capability] || `AI Response from ${model} for: ${prompt}` } const exportConversation = () => { const data = JSON.stringify(messages, null, 2) const blob = new Blob([data], { type: 'application/json' }) const url = URL.createObjectURL(blob) const a = document.createElement('a') a.href = url a.download = 'ai-conversation.json' a.click() toast.success(language === 'fa' ? 'گفتگو export شد' : 'Conversation exported') } const clearConversation = () => { setMessages([]) toast.success(language === 'fa' ? 'گفتگو پاک شد' : 'Conversation cleared') } return (
{/* Header */}

AI Agent Studio

{/* Sidebar */}
{/* Models */}

AI Models

{models.map(model => { const Icon = model.icon return ( ) })}
{/* Capabilities */}

Capabilities

{capabilities.map(cap => { const Icon = cap.icon return ( ) })}
{/* Chat Area */}
{messages.map(message => (
{message.type === 'user' ? ( ) : ( )} {message.model} • {message.capability}
{message.content.includes('```') ? ( {message.content} ) : (
{message.content}
)}
))}
{isProcessing && (
)}
{/* Input */}
setInput(e.target.value)} onKeyPress={(e) => e.key === 'Enter' && handleSendMessage()} placeholder="Ask AI anything..." className="flex-1 px-4 py-2 bg-gray-700 text-white rounded-lg focus:outline-none focus:ring-2 focus:ring-primary-500" disabled={isProcessing} />
) }