From d835aee053e3faffc8aa02d00d259ceb12ca96a7 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 16 Feb 2026 03:40:06 +0000 Subject: [PATCH 1/6] Initial plan From a0cfd924282ae18a1a04955a108b401cf7f473da Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 16 Feb 2026 03:48:28 +0000 Subject: [PATCH 2/6] Add dashboard components: ModelManagement, Analytics, Monitoring, and Collaboration - ModelManagement.tsx: Complete AI model lifecycle management with model cards, search/filter, status tracking, and performance metrics - Analytics.tsx: Analytics dashboard with Recharts integration showing request trends, model performance, latency distribution, and weekly overview - Monitoring.tsx: System monitoring with service health checks, resource usage visualization, live logs viewer, and alert management - Collaboration.tsx: Team collaboration interface with member list, active sessions, role badges, and activity feed All components use TypeScript with proper types from src/types/index.ts, follow glass morphism design with Tailwind classes, include lucide-react icons, and are fully functional with sample/mock data. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- ai-design-platform/.gitignore | 24 + ai-design-platform/README.md | 73 + ai-design-platform/eslint.config.js | 23 + ai-design-platform/index.html | 13 + ai-design-platform/package-lock.json | 4169 +++++++++++++++++ ai-design-platform/package.json | 39 + ai-design-platform/postcss.config.js | 6 + ai-design-platform/public/vite.svg | 1 + ai-design-platform/src/App.css | 42 + ai-design-platform/src/App.tsx | 35 + ai-design-platform/src/assets/react.svg | 1 + .../src/components/dashboard/Analytics.tsx | 285 ++ .../components/dashboard/Collaboration.tsx | 373 ++ .../src/components/dashboard/Dashboard.tsx | 182 + .../components/dashboard/ModelManagement.tsx | 262 ++ .../src/components/dashboard/Monitoring.tsx | 450 ++ ai-design-platform/src/index.css | 84 + ai-design-platform/src/main.tsx | 10 + ai-design-platform/src/types/index.ts | 129 + ai-design-platform/tailwind.config.js | 30 + ai-design-platform/tsconfig.app.json | 28 + ai-design-platform/tsconfig.json | 7 + ai-design-platform/tsconfig.node.json | 26 + ai-design-platform/vite.config.ts | 7 + 24 files changed, 6299 insertions(+) create mode 100644 ai-design-platform/.gitignore create mode 100644 ai-design-platform/README.md create mode 100644 ai-design-platform/eslint.config.js create mode 100644 ai-design-platform/index.html create mode 100644 ai-design-platform/package-lock.json create mode 100644 ai-design-platform/package.json create mode 100644 ai-design-platform/postcss.config.js create mode 100644 ai-design-platform/public/vite.svg create mode 100644 ai-design-platform/src/App.css create mode 100644 ai-design-platform/src/App.tsx create mode 100644 ai-design-platform/src/assets/react.svg create mode 100644 ai-design-platform/src/components/dashboard/Analytics.tsx create mode 100644 ai-design-platform/src/components/dashboard/Collaboration.tsx create mode 100644 ai-design-platform/src/components/dashboard/Dashboard.tsx create mode 100644 ai-design-platform/src/components/dashboard/ModelManagement.tsx create mode 100644 ai-design-platform/src/components/dashboard/Monitoring.tsx create mode 100644 ai-design-platform/src/index.css create mode 100644 ai-design-platform/src/main.tsx create mode 100644 ai-design-platform/src/types/index.ts create mode 100644 ai-design-platform/tailwind.config.js create mode 100644 ai-design-platform/tsconfig.app.json create mode 100644 ai-design-platform/tsconfig.json create mode 100644 ai-design-platform/tsconfig.node.json create mode 100644 ai-design-platform/vite.config.ts diff --git a/ai-design-platform/.gitignore b/ai-design-platform/.gitignore new file mode 100644 index 0000000..a547bf3 --- /dev/null +++ b/ai-design-platform/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/ai-design-platform/README.md b/ai-design-platform/README.md new file mode 100644 index 0000000..d2e7761 --- /dev/null +++ b/ai-design-platform/README.md @@ -0,0 +1,73 @@ +# React + TypeScript + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh + +## React Compiler + +The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation). + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules: + +```js +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + // Other configs... + + // Remove tseslint.configs.recommended and replace with this + tseslint.configs.recommendedTypeChecked, + // Alternatively, use this for stricter rules + tseslint.configs.strictTypeChecked, + // Optionally, add this for stylistic rules + tseslint.configs.stylisticTypeChecked, + + // Other configs... + ], + languageOptions: { + parserOptions: { + project: ['./tsconfig.node.json', './tsconfig.app.json'], + tsconfigRootDir: import.meta.dirname, + }, + // other options... + }, + }, +]) +``` + +You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules: + +```js +// eslint.config.js +import reactX from 'eslint-plugin-react-x' +import reactDom from 'eslint-plugin-react-dom' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + // Other configs... + // Enable lint rules for React + reactX.configs['recommended-typescript'], + // Enable lint rules for React DOM + reactDom.configs.recommended, + ], + languageOptions: { + parserOptions: { + project: ['./tsconfig.node.json', './tsconfig.app.json'], + tsconfigRootDir: import.meta.dirname, + }, + // other options... + }, + }, +]) +``` diff --git a/ai-design-platform/eslint.config.js b/ai-design-platform/eslint.config.js new file mode 100644 index 0000000..5e6b472 --- /dev/null +++ b/ai-design-platform/eslint.config.js @@ -0,0 +1,23 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import tseslint from 'typescript-eslint' +import { defineConfig, globalIgnores } from 'eslint/config' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + js.configs.recommended, + tseslint.configs.recommended, + reactHooks.configs.flat.recommended, + reactRefresh.configs.vite, + ], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + }, +]) diff --git a/ai-design-platform/index.html b/ai-design-platform/index.html new file mode 100644 index 0000000..9497d57 --- /dev/null +++ b/ai-design-platform/index.html @@ -0,0 +1,13 @@ + + + + + + + ai-design-platform + + +
+ + + diff --git a/ai-design-platform/package-lock.json b/ai-design-platform/package-lock.json new file mode 100644 index 0000000..d9e6474 --- /dev/null +++ b/ai-design-platform/package-lock.json @@ -0,0 +1,4169 @@ +{ + "name": "ai-design-platform", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "ai-design-platform", + "version": "0.0.0", + "dependencies": { + "autoprefixer": "^10.4.24", + "axios": "^1.13.5", + "i18next": "^25.8.8", + "lucide-react": "^0.564.0", + "postcss": "^8.5.6", + "react": "^19.2.0", + "react-dom": "^19.2.0", + "react-i18next": "^16.5.4", + "react-router-dom": "^7.13.0", + "recharts": "^3.7.0", + "tailwindcss": "^4.1.18" + }, + "devDependencies": { + "@eslint/js": "^9.39.1", + "@types/node": "^24.10.1", + "@types/react": "^19.2.7", + "@types/react-dom": "^19.2.3", + "@vitejs/plugin-react": "^5.1.1", + "eslint": "^9.39.1", + "eslint-plugin-react-hooks": "^7.0.1", + "eslint-plugin-react-refresh": "^0.4.24", + 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"funding": { + "url": "https://github.com/sponsors/colinhacks" + } + }, + "node_modules/zod-validation-error": { + "version": "4.0.2", + "resolved": "https://registry.npmjs.org/zod-validation-error/-/zod-validation-error-4.0.2.tgz", + "integrity": "sha512-Q6/nZLe6jxuU80qb/4uJ4t5v2VEZ44lzQjPDhYJNztRQ4wyWc6VF3D3Kb/fAuPetZQnhS3hnajCf9CsWesghLQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=18.0.0" + }, + "peerDependencies": { + "zod": "^3.25.0 || ^4.0.0" + } + } + } +} diff --git a/ai-design-platform/package.json b/ai-design-platform/package.json new file mode 100644 index 0000000..2ec663c --- /dev/null +++ b/ai-design-platform/package.json @@ -0,0 +1,39 @@ +{ + "name": "ai-design-platform", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc -b && vite build", + "lint": "eslint .", + "preview": "vite preview" + }, + "dependencies": { + "autoprefixer": "^10.4.24", + "axios": "^1.13.5", + "i18next": "^25.8.8", + "lucide-react": "^0.564.0", + "postcss": "^8.5.6", + "react": "^19.2.0", + "react-dom": "^19.2.0", + "react-i18next": "^16.5.4", + "react-router-dom": "^7.13.0", + "recharts": "^3.7.0", + "tailwindcss": "^4.1.18" + }, + "devDependencies": { + "@eslint/js": "^9.39.1", + "@types/node": "^24.10.1", + "@types/react": "^19.2.7", + "@types/react-dom": "^19.2.3", + "@vitejs/plugin-react": "^5.1.1", + "eslint": "^9.39.1", + "eslint-plugin-react-hooks": "^7.0.1", + "eslint-plugin-react-refresh": "^0.4.24", + "globals": "^16.5.0", + "typescript": "~5.9.3", + "typescript-eslint": "^8.48.0", + "vite": "^7.3.1" + } +} diff --git a/ai-design-platform/postcss.config.js b/ai-design-platform/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/ai-design-platform/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/ai-design-platform/public/vite.svg b/ai-design-platform/public/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/ai-design-platform/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/ai-design-platform/src/App.css b/ai-design-platform/src/App.css new file mode 100644 index 0000000..b9d355d --- /dev/null +++ b/ai-design-platform/src/App.css @@ -0,0 +1,42 @@ +#root { + max-width: 1280px; + margin: 0 auto; + padding: 2rem; + text-align: center; +} + +.logo { + height: 6em; + padding: 1.5em; + will-change: filter; + transition: filter 300ms; +} +.logo:hover { + filter: drop-shadow(0 0 2em #646cffaa); +} +.logo.react:hover { + filter: drop-shadow(0 0 2em #61dafbaa); +} + +@keyframes logo-spin { + from { + transform: rotate(0deg); + } + to { + transform: rotate(360deg); + } +} + +@media (prefers-reduced-motion: no-preference) { + a:nth-of-type(2) .logo { + animation: logo-spin infinite 20s linear; + } +} + +.card { + padding: 2em; +} + +.read-the-docs { + color: #888; +} diff --git a/ai-design-platform/src/App.tsx b/ai-design-platform/src/App.tsx new file mode 100644 index 0000000..3d7ded3 --- /dev/null +++ b/ai-design-platform/src/App.tsx @@ -0,0 +1,35 @@ +import { useState } from 'react' +import reactLogo from './assets/react.svg' +import viteLogo from '/vite.svg' +import './App.css' + +function App() { + const [count, setCount] = useState(0) + + return ( + <> +
+ + Vite logo + + + React logo + +
+

Vite + React

+
+ +

+ Edit src/App.tsx and save to test HMR +

+
+

+ Click on the Vite and React logos to learn more +

+ + ) +} + +export default App diff --git a/ai-design-platform/src/assets/react.svg b/ai-design-platform/src/assets/react.svg new file mode 100644 index 0000000..6c87de9 --- /dev/null +++ b/ai-design-platform/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/ai-design-platform/src/components/dashboard/Analytics.tsx b/ai-design-platform/src/components/dashboard/Analytics.tsx new file mode 100644 index 0000000..9fa48c5 --- /dev/null +++ b/ai-design-platform/src/components/dashboard/Analytics.tsx @@ -0,0 +1,285 @@ +import React from 'react'; +import { LineChart, Line, BarChart, Bar, AreaChart, Area, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, Legend } from 'recharts'; +import { TrendingUp, Activity, Zap, Clock } from 'lucide-react'; + +export const Analytics: React.FC = () => { + const requestTrendData = [ + { time: '00:00', requests: 1200, latency: 120 }, + { time: '04:00', requests: 800, latency: 110 }, + { time: '08:00', requests: 2400, latency: 150 }, + { time: '12:00', requests: 3200, latency: 180 }, + { time: '16:00', requests: 2800, latency: 160 }, + { time: '20:00', requests: 1800, latency: 130 }, + ]; + + const modelPerformanceData = [ + { model: 'Fraud Det.', accuracy: 98.5, requests: 45000 }, + { model: 'Sentiment', accuracy: 94.2, requests: 38000 }, + { model: 'Recommend', accuracy: 96.7, requests: 52000 }, + { model: 'Image Class.', accuracy: 97.3, requests: 29000 }, + { model: 'Price Opt.', accuracy: 91.8, requests: 15000 }, + ]; + + const latencyDistributionData = [ + { range: '0-50ms', count: 45000 }, + { range: '50-100ms', count: 82000 }, + { range: '100-150ms', count: 124000 }, + { range: '150-200ms', count: 68000 }, + { range: '200-250ms', count: 32000 }, + { range: '250+ms', count: 12000 }, + ]; + + const dailyMetricsData = [ + { date: 'Mon', requests: 125000, errors: 240, avgLatency: 145 }, + { date: 'Tue', requests: 132000, errors: 180, avgLatency: 138 }, + { date: 'Wed', requests: 145000, errors: 210, avgLatency: 152 }, + { date: 'Thu', requests: 138000, errors: 165, avgLatency: 141 }, + { date: 'Fri', requests: 156000, errors: 195, avgLatency: 148 }, + { date: 'Sat', requests: 98000, errors: 120, avgLatency: 135 }, + { date: 'Sun', requests: 87000, errors: 98, avgLatency: 128 }, + ]; + + const MetricCard: React.FC<{ icon: React.ReactNode; title: string; value: string; change: string; trend: 'up' | 'down' }> = ({ + icon, + title, + value, + change, + trend, + }) => ( +
+
+
+
+ {icon} + {title} +
+
{value}
+
+ + {change} +
+
+
+
+ ); + + return ( +
+
+
+

Analytics

+

Performance metrics and insights

+
+
+ + +
+
+ + {/* Key Metrics */} +
+ } + title="Total Requests" + value="1.2M" + change="+15.3% vs last week" + trend="up" + /> + } + title="Avg Latency" + value="142ms" + change="-8.2% improvement" + trend="down" + /> + } + title="Success Rate" + value="99.8%" + change="+0.3% increase" + trend="up" + /> + } + title="Throughput" + value="2.4K/s" + change="+22.1% growth" + trend="up" + /> +
+ + {/* Request Trends */} +
+

Request Trends (24h)

+ + + + + + + + + + + +
+ +
+ {/* Model Performance */} +
+

Model Performance

+ + + + + + + + + + +
+ + {/* Latency Distribution */} +
+

Latency Distribution

+ + + + + + + + + + + + + + + +
+
+ + {/* Daily Metrics */} +
+

Weekly Overview

+ + + + + + + + + + + + + + + + + + + + + +
+ + {/* Performance Insights */} +
+

Performance Insights

+
+
+ +
+
Recommendation Engine Performing Well
+
+ 52K requests with 96.7% accuracy and avg latency of 95ms +
+
+
+
+ +
+
Peak Traffic Period
+
+ Highest request volume observed between 12:00-16:00 daily +
+
+
+
+ +
+
Latency Optimization Opportunity
+
+ 12K requests exceed 250ms - consider optimizing model inference +
+
+
+
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/dashboard/Collaboration.tsx b/ai-design-platform/src/components/dashboard/Collaboration.tsx new file mode 100644 index 0000000..af0c8aa --- /dev/null +++ b/ai-design-platform/src/components/dashboard/Collaboration.tsx @@ -0,0 +1,373 @@ +import React from 'react'; +import { Users, Activity, Clock, MessageSquare, GitBranch, CheckCircle } from 'lucide-react'; +import type { TeamMember } from '../../types'; + +interface ActiveSession { + id: string; + userId: string; + activity: string; + resource: string; + startedAt: Date; +} + +interface ActivityItem { + id: string; + userId: string; + userName: string; + action: string; + target: string; + timestamp: Date; +} + +export const Collaboration: React.FC = () => { + const [teamMembers] = React.useState([ + { + id: '1', + name: 'Sarah Chen', + role: 'ML Engineer', + avatar: '👩‍💻', + status: 'online', + lastActive: new Date(), + }, + { + id: '2', + name: 'Marcus Rodriguez', + role: 'Data Scientist', + avatar: '👨‍🔬', + status: 'online', + lastActive: new Date(), + }, + { + id: '3', + name: 'Emily Watson', + role: 'DevOps Engineer', + avatar: '👩‍💼', + status: 'busy', + lastActive: new Date(Date.now() - 300000), + }, + { + id: '4', + name: 'David Kim', + role: 'Product Manager', + avatar: '👨‍💼', + status: 'online', + lastActive: new Date(), + }, + { + id: '5', + name: 'Lisa Anderson', + role: 'ML Engineer', + avatar: '👩‍🎓', + status: 'offline', + lastActive: new Date(Date.now() - 3600000), + }, + { + id: '6', + name: 'Alex Johnson', + role: 'Data Engineer', + avatar: '👨‍🎨', + status: 'online', + lastActive: new Date(), + }, + ]); + + const [activeSessions] = React.useState([ + { + id: '1', + userId: '1', + activity: 'Training Model', + resource: 'fraud-detection-v4', + startedAt: new Date(Date.now() - 1800000), + }, + { + id: '2', + userId: '2', + activity: 'Reviewing Data', + resource: 'customer-dataset-2024', + startedAt: new Date(Date.now() - 900000), + }, + { + id: '3', + userId: '3', + activity: 'Deploying Model', + resource: 'recommendation-engine-v3', + startedAt: new Date(Date.now() - 600000), + }, + { + id: '4', + userId: '4', + activity: 'Monitoring Metrics', + resource: 'production-dashboard', + startedAt: new Date(Date.now() - 300000), + }, + ]); + + const [activityFeed] = React.useState([ + { + id: '1', + userId: '1', + userName: 'Sarah Chen', + action: 'deployed', + target: 'fraud-detection-v3', + timestamp: new Date(Date.now() - 300000), + }, + { + id: '2', + userId: '3', + userName: 'Emily Watson', + action: 'updated configuration for', + target: 'API Gateway', + timestamp: new Date(Date.now() - 600000), + }, + { + id: '3', + userId: '2', + userName: 'Marcus Rodriguez', + action: 'completed training for', + target: 'sentiment-analysis-v2', + timestamp: new Date(Date.now() - 900000), + }, + { + id: '4', + userId: '4', + userName: 'David Kim', + action: 'created playbook', + target: 'Q1 Model Deployment Plan', + timestamp: new Date(Date.now() - 1200000), + }, + { + id: '5', + userId: '6', + userName: 'Alex Johnson', + action: 'optimized pipeline', + target: 'data-ingestion-pipeline', + timestamp: new Date(Date.now() - 1800000), + }, + { + id: '6', + userId: '1', + userName: 'Sarah Chen', + action: 'reviewed pull request', + target: 'Feature: Add model versioning', + timestamp: new Date(Date.now() - 2400000), + }, + ]); + + const getStatusColor = (status: TeamMember['status']) => { + switch (status) { + case 'online': + return 'bg-green-400'; + case 'busy': + return 'bg-yellow-400'; + case 'offline': + return 'bg-gray-400'; + } + }; + + const getStatusText = (status: TeamMember['status']) => { + switch (status) { + case 'online': + return 'Online'; + case 'busy': + return 'Busy'; + case 'offline': + return 'Offline'; + } + }; + + const getRoleBadgeColor = (role: string) => { + if (role.includes('Engineer')) return 'bg-purple-500/10 text-purple-400 border-purple-500/20'; + if (role.includes('Scientist')) return 'bg-blue-500/10 text-blue-400 border-blue-500/20'; + if (role.includes('Manager')) return 'bg-green-500/10 text-green-400 border-green-500/20'; + return 'bg-gray-500/10 text-gray-400 border-gray-500/20'; + }; + + const getTimeAgo = (date: Date) => { + const seconds = Math.floor((Date.now() - date.getTime()) / 1000); + if (seconds < 60) return `${seconds}s ago`; + const minutes = Math.floor(seconds / 60); + if (minutes < 60) return `${minutes}m ago`; + const hours = Math.floor(minutes / 60); + return `${hours}h ago`; + }; + + const onlineMembers = teamMembers.filter(m => m.status === 'online').length; + const busyMembers = teamMembers.filter(m => m.status === 'busy').length; + + return ( +
+
+
+

Team Collaboration

+

Real-time team activity and collaboration

+
+
+ + +
+
+ + {/* Team Overview */} +
+
+
+ + Total Members +
+
{teamMembers.length}
+
Across all teams
+
+
+
+
+ Active Now +
+
{onlineMembers}
+
{busyMembers} busy
+
+
+
+ + Active Sessions +
+
{activeSessions.length}
+
In progress
+
+
+ +
+ {/* Team Members */} +
+

Team Members

+
+ {teamMembers.map(member => ( +
+
+
+
+ {member.avatar} +
+
+
+
+
+ {member.name} + + {member.role} + +
+
+ {getStatusText(member.status)} + {member.status !== 'online' && ( + <> + + {getTimeAgo(member.lastActive)} + + )} +
+
+ +
+
+ ))} +
+
+ + {/* Active Sessions */} +
+

Active Sessions

+
+ {activeSessions.map(session => { + const member = teamMembers.find(m => m.id === session.userId); + return ( +
+
+
+ {member?.avatar} +
+
+
+ {member?.name} +
+
+
{session.activity}
+
+ + {session.resource} +
+
+
+ + {getTimeAgo(session.startedAt)} +
+
+
+ ); + })} +
+
+
+ + {/* Activity Feed */} +
+
+

Activity Feed

+ +
+
+ {activityFeed.map(activity => { + const member = teamMembers.find(m => m.id === activity.userId); + return ( +
+
+ {member?.avatar} +
+
+
+ {activity.userName} + {activity.action} + {activity.target} +
+
+ + {getTimeAgo(activity.timestamp)} +
+
+ +
+ ); + })} +
+
+ + {/* Collaboration Stats */} +
+
+

Models Deployed Today

+
8
+
↑ 25% from yesterday
+
+
+

Active Pull Requests

+
12
+
4 awaiting review
+
+
+

Team Contributions

+
47
+
This week
+
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/dashboard/Dashboard.tsx b/ai-design-platform/src/components/dashboard/Dashboard.tsx new file mode 100644 index 0000000..0d564ee --- /dev/null +++ b/ai-design-platform/src/components/dashboard/Dashboard.tsx @@ -0,0 +1,182 @@ +import React from 'react'; +import { Activity, Cpu, HardDrive, Zap, AlertTriangle, CheckCircle } from 'lucide-react'; +import type { SystemMetrics } from '../../types'; + +export const Dashboard: React.FC = () => { + const [metrics] = React.useState({ + cpu: 45, + memory: 62, + gpu: 38, + activeModels: 12, + totalRequests: 1547890, + avgLatency: 145, + }); + + const MetricCard: React.FC<{ icon: React.ReactNode; title: string; value: string | number; subtitle: string; trend?: 'up' | 'down' }> = ({ + icon, + title, + value, + subtitle, + }) => ( +
+
+
+
+ {icon} + {title} +
+
{value}
+
{subtitle}
+
+
+
+ ); + + return ( +
+
+
+

Dashboard

+

Real-time system monitoring and insights

+
+
+ + +
+
+ + {/* System Status */} +
+
+ +
+

System Healthy

+

All services operational

+
+
+
+
+
+ API Service +
+
+
+ Database +
+
+
+ ML Pipeline +
+
+
+ Cache (Degraded) +
+
+
+ + {/* Metrics Grid */} +
+ } + title="CPU Usage" + value={`${metrics.cpu}%`} + subtitle="4 cores active" + /> + } + title="Memory" + value={`${metrics.memory}%`} + subtitle="24.8 GB / 40 GB" + /> + } + title="GPU Usage" + value={`${metrics.gpu}%`} + subtitle="NVIDIA A100" + /> + } + title="Active Models" + value={metrics.activeModels} + subtitle="12 deployed, 3 training" + /> +
+ + {/* Resource Usage */} +
+

Resource Monitoring

+
+
+
+ CPU Utilization + {metrics.cpu}% +
+
+
+
+
+
+
+ Memory Usage + {metrics.memory}% +
+
+
+
+
+
+
+ GPU Processing + {metrics.gpu}% +
+
+
+
+
+
+
+ + {/* Quick Stats */} +
+
+

Total Requests

+
{metrics.totalRequests.toLocaleString()}
+
↑ 12% from last week
+
+
+

Avg Latency

+
{metrics.avgLatency}ms
+
↓ 8% improvement
+
+
+

System Uptime

+
99.98%
+
Last 30 days
+
+
+ + {/* Recent Alerts */} +
+

Recent Alerts

+
+
+ +
+
Cache Performance Degraded
+
Redis cluster experiencing high latency
+
+ 5m ago +
+
+ +
+
Model Training Complete
+
fraud-detection-v2 ready for deployment
+
+ 15m ago +
+
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/dashboard/ModelManagement.tsx b/ai-design-platform/src/components/dashboard/ModelManagement.tsx new file mode 100644 index 0000000..50e6067 --- /dev/null +++ b/ai-design-platform/src/components/dashboard/ModelManagement.tsx @@ -0,0 +1,262 @@ +import React from 'react'; +import { Search, Filter, Play, Archive, GitBranch, TrendingUp, Clock, CheckCircle, AlertCircle, Package } from 'lucide-react'; +import type { AIModel } from '../../types'; + +export const ModelManagement: React.FC = () => { + const [searchQuery, setSearchQuery] = React.useState(''); + const [statusFilter, setStatusFilter] = React.useState('all'); + + const [models] = React.useState([ + { + id: '1', + name: 'fraud-detection-v3', + version: '3.2.1', + status: 'deployed', + accuracy: 98.5, + latency: 120, + throughput: 1500, + createdAt: new Date('2024-01-15'), + updatedAt: new Date('2024-01-20'), + }, + { + id: '2', + name: 'customer-sentiment', + version: '2.1.0', + status: 'active', + accuracy: 94.2, + latency: 85, + throughput: 2200, + createdAt: new Date('2024-01-10'), + updatedAt: new Date('2024-01-18'), + }, + { + id: '3', + name: 'price-optimization', + version: '1.5.3', + status: 'training', + accuracy: 91.8, + latency: 200, + throughput: 800, + createdAt: new Date('2024-01-12'), + updatedAt: new Date('2024-01-22'), + }, + { + id: '4', + name: 'recommendation-engine', + version: '4.0.0', + status: 'deployed', + accuracy: 96.7, + latency: 95, + throughput: 3000, + createdAt: new Date('2024-01-08'), + updatedAt: new Date('2024-01-21'), + }, + { + id: '5', + name: 'churn-prediction', + version: '2.3.1', + status: 'archived', + accuracy: 89.4, + latency: 150, + throughput: 600, + createdAt: new Date('2023-12-20'), + updatedAt: new Date('2024-01-05'), + }, + { + id: '6', + name: 'image-classifier', + version: '3.1.0', + status: 'active', + accuracy: 97.3, + latency: 180, + throughput: 1200, + createdAt: new Date('2024-01-14'), + updatedAt: new Date('2024-01-19'), + }, + ]); + + const filteredModels = models.filter(model => { + const matchesSearch = model.name.toLowerCase().includes(searchQuery.toLowerCase()); + const matchesStatus = statusFilter === 'all' || model.status === statusFilter; + return matchesSearch && matchesStatus; + }); + + const getStatusIcon = (status: AIModel['status']) => { + switch (status) { + case 'deployed': + return ; + case 'active': + return ; + case 'training': + return ; + case 'archived': + return ; + } + }; + + const getStatusColor = (status: AIModel['status']) => { + switch (status) { + case 'deployed': + return 'bg-green-500/10 text-green-400 border-green-500/20'; + case 'active': + return 'bg-blue-500/10 text-blue-400 border-blue-500/20'; + case 'training': + return 'bg-yellow-500/10 text-yellow-400 border-yellow-500/20'; + case 'archived': + return 'bg-gray-500/10 text-gray-400 border-gray-500/20'; + } + }; + + const ModelCard: React.FC<{ model: AIModel }> = ({ model }) => ( +
+
+
+
+ +
+
+

{model.name}

+
+ + {getStatusIcon(model.status)} + {model.status} + + v{model.version} +
+
+
+
+ {model.status === 'active' && ( + + )} + {model.status === 'deployed' && ( + + )} + +
+
+ +
+
+
Accuracy
+
{model.accuracy}%
+
+
+
Latency
+
{model.latency}ms
+
+
+
Throughput
+
{model.throughput}/s
+
+
+ +
+
+ + Updated {model.updatedAt.toLocaleDateString()} +
+
+ + +12% requests +
+
+
+ ); + + const statusCounts = { + all: models.length, + deployed: models.filter(m => m.status === 'deployed').length, + active: models.filter(m => m.status === 'active').length, + training: models.filter(m => m.status === 'training').length, + archived: models.filter(m => m.status === 'archived').length, + }; + + return ( +
+
+
+

Model Management

+

Manage AI model lifecycle and deployments

+
+ +
+ + {/* Search and Filter */} +
+
+
+ + setSearchQuery(e.target.value)} + className="w-full pl-10 pr-4 py-2 bg-gray-900/50 border border-gray-700 rounded-lg focus:outline-none focus:border-purple-500" + /> +
+
+ + +
+
+
+ + {/* Status Overview */} +
+
+
+ + Deployed +
+
{statusCounts.deployed}
+
+
+
+ + Active +
+
{statusCounts.active}
+
+
+
+ + Training +
+
{statusCounts.training}
+
+
+
+ + Archived +
+
{statusCounts.archived}
+
+
+ + {/* Model Grid */} +
+ {filteredModels.length > 0 ? ( + filteredModels.map(model => ) + ) : ( +
+ +

No models found matching your filters

+
+ )} +
+
+ ); +}; diff --git a/ai-design-platform/src/components/dashboard/Monitoring.tsx b/ai-design-platform/src/components/dashboard/Monitoring.tsx new file mode 100644 index 0000000..1ace6e1 --- /dev/null +++ b/ai-design-platform/src/components/dashboard/Monitoring.tsx @@ -0,0 +1,450 @@ +import React from 'react'; +import { CheckCircle, AlertCircle, XCircle, Server, Database, Cpu, Network, HardDrive, Bell, Activity, Terminal } from 'lucide-react'; + +interface ServiceHealth { + id: string; + name: string; + status: 'healthy' | 'degraded' | 'down'; + uptime: number; + responseTime: number; + lastCheck: Date; +} + +interface LogEntry { + id: string; + timestamp: Date; + level: 'info' | 'warning' | 'error'; + service: string; + message: string; +} + +interface Alert { + id: string; + severity: 'critical' | 'warning' | 'info'; + title: string; + message: string; + timestamp: Date; + resolved: boolean; +} + +export const Monitoring: React.FC = () => { + const [services] = React.useState([ + { + id: '1', + name: 'API Gateway', + status: 'healthy', + uptime: 99.98, + responseTime: 45, + lastCheck: new Date(), + }, + { + id: '2', + name: 'ML Pipeline', + status: 'healthy', + uptime: 99.95, + responseTime: 120, + lastCheck: new Date(), + }, + { + id: '3', + name: 'Database Cluster', + status: 'healthy', + uptime: 99.99, + responseTime: 12, + lastCheck: new Date(), + }, + { + id: '4', + name: 'Cache Service', + status: 'degraded', + uptime: 98.5, + responseTime: 280, + lastCheck: new Date(), + }, + { + id: '5', + name: 'Message Queue', + status: 'healthy', + uptime: 99.97, + responseTime: 8, + lastCheck: new Date(), + }, + { + id: '6', + name: 'Storage Service', + status: 'healthy', + uptime: 99.96, + responseTime: 55, + lastCheck: new Date(), + }, + ]); + + const [logs] = React.useState([ + { + id: '1', + timestamp: new Date(Date.now() - 30000), + level: 'info', + service: 'API Gateway', + message: 'Request processed successfully - /api/v1/predict', + }, + { + id: '2', + timestamp: new Date(Date.now() - 45000), + level: 'warning', + service: 'Cache Service', + message: 'High latency detected - response time: 280ms', + }, + { + id: '3', + timestamp: new Date(Date.now() - 60000), + level: 'info', + service: 'ML Pipeline', + message: 'Model training completed - fraud-detection-v3', + }, + { + id: '4', + timestamp: new Date(Date.now() - 90000), + level: 'error', + service: 'Database Cluster', + message: 'Connection pool exhausted - attempting recovery', + }, + { + id: '5', + timestamp: new Date(Date.now() - 120000), + level: 'info', + service: 'Message Queue', + message: 'Queue processed - 1247 messages handled', + }, + { + id: '6', + timestamp: new Date(Date.now() - 150000), + level: 'warning', + service: 'Storage Service', + message: 'Disk usage at 75% - cleanup recommended', + }, + ]); + + const [alerts] = React.useState([ + { + id: '1', + severity: 'warning', + title: 'Cache Performance Degraded', + message: 'Redis cluster experiencing high latency (280ms avg)', + timestamp: new Date(Date.now() - 300000), + resolved: false, + }, + { + id: '2', + severity: 'info', + title: 'Model Training Complete', + message: 'fraud-detection-v3 training completed successfully', + timestamp: new Date(Date.now() - 600000), + resolved: true, + }, + { + id: '3', + severity: 'critical', + title: 'Database Connection Pool Full', + message: 'All connections in use - auto-scaling initiated', + timestamp: new Date(Date.now() - 900000), + resolved: true, + }, + ]); + + const [resourceMetrics] = React.useState({ + cpu: 45, + memory: 62, + disk: 75, + network: 38, + }); + + const getStatusIcon = (status: ServiceHealth['status']) => { + switch (status) { + case 'healthy': + return ; + case 'degraded': + return ; + case 'down': + return ; + } + }; + + const getStatusColor = (status: ServiceHealth['status']) => { + switch (status) { + case 'healthy': + return 'bg-green-500/10 border-green-500/20'; + case 'degraded': + return 'bg-yellow-500/10 border-yellow-500/20'; + case 'down': + return 'bg-red-500/10 border-red-500/20'; + } + }; + + const getLogLevelColor = (level: LogEntry['level']) => { + switch (level) { + case 'info': + return 'text-blue-400'; + case 'warning': + return 'text-yellow-400'; + case 'error': + return 'text-red-400'; + } + }; + + const getAlertColor = (severity: Alert['severity']) => { + switch (severity) { + case 'critical': + return 'bg-red-500/10 border-red-500/20'; + case 'warning': + return 'bg-yellow-500/10 border-yellow-500/20'; + case 'info': + return 'bg-blue-500/10 border-blue-500/20'; + } + }; + + const healthyServices = services.filter(s => s.status === 'healthy').length; + const degradedServices = services.filter(s => s.status === 'degraded').length; + const downServices = services.filter(s => s.status === 'down').length; + + return ( +
+
+
+

System Monitoring

+

Real-time service health and system metrics

+
+
+ + +
+
+ + {/* Overall Status */} +
+
+ {degradedServices === 0 && downServices === 0 ? ( + <> + +
+

All Systems Operational

+

{healthyServices} services running normally

+
+ + ) : ( + <> + +
+

System Degraded

+

+ {healthyServices} healthy, {degradedServices} degraded, {downServices} down +

+
+ + )} +
+
+
+
{healthyServices}
+
Healthy
+
+
+
{degradedServices}
+
Degraded
+
+
+
{downServices}
+
Down
+
+
+
+ + {/* Service Health */} +
+

Service Health Checks

+
+ {services.map(service => ( +
+
+
+ {getStatusIcon(service.status)} + {service.name} +
+ +
+
+
+ Uptime + {service.uptime}% +
+
+ Response + {service.responseTime}ms +
+
+ Last check: {service.lastCheck.toLocaleTimeString()} +
+
+
+ ))} +
+
+ +
+ {/* Resource Usage */} +
+

Resource Usage

+
+
+
+
+ + CPU Utilization +
+ {resourceMetrics.cpu}% +
+
+
+
+
+
+
+
+ + Memory Usage +
+ {resourceMetrics.memory}% +
+
+
+
+
+
+
+
+ + Disk Usage +
+ {resourceMetrics.disk}% +
+
+
+
+
+
+
+
+ + Network I/O +
+ {resourceMetrics.network}% +
+
+
+
+
+
+
+ + {/* Active Alerts */} +
+
+

Active Alerts

+ +
+
+ {alerts.map(alert => ( +
+
+ {alert.title} + + {Math.floor((Date.now() - alert.timestamp.getTime()) / 60000)}m ago + +
+
{alert.message}
+ {alert.resolved && ( +
+ + Resolved +
+ )} +
+ ))} +
+
+
+ + {/* Live Logs */} +
+
+
+ +

Live Logs

+
+
+
+ Streaming +
+
+
+ {logs.map(log => ( +
+ {log.timestamp.toLocaleTimeString()} + + [{log.level}] + + [{log.service}] + {log.message} +
+ ))} +
+
+ + {/* System Info */} +
+
+
+ + System Uptime +
+
99.98%
+
Last 30 days
+
+
+
+ + Total Services +
+
{services.length}
+
Monitoring active
+
+
+
+ + Alerts Today +
+
{alerts.filter(a => !a.resolved).length}
+
+ {alerts.filter(a => a.resolved).length} resolved +
+
+
+
+ ); +}; diff --git a/ai-design-platform/src/index.css b/ai-design-platform/src/index.css new file mode 100644 index 0000000..e26854a --- /dev/null +++ b/ai-design-platform/src/index.css @@ -0,0 +1,84 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + :root { + --background: 222.2 84% 4.9%; + --foreground: 210 40% 98%; + --purple-500: 262 83% 58%; + --purple-600: 258 90% 66%; + --blue-500: 217 91% 60%; + } + + * { + border-color: rgba(255, 255, 255, 0.1); + } + + body { + @apply bg-gray-900 text-gray-100; + font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', sans-serif; + } +} + +@layer components { + .glass { + @apply bg-white/5 backdrop-blur-xl border border-white/10; + } + + .glass-hover { + @apply transition-all duration-300 hover:bg-white/10 hover:border-white/20; + } + + .btn-primary { + @apply px-4 py-2 rounded-lg bg-gradient-to-r from-purple-600 to-blue-500 text-white font-medium transition-all duration-300 hover:shadow-lg hover:scale-105; + } + + .btn-secondary { + @apply px-4 py-2 rounded-lg glass glass-hover text-white font-medium; + } + + .card { + @apply glass rounded-xl p-6; + } + + .card-hover { + @apply glass glass-hover rounded-xl p-6 cursor-pointer; + } + + .gradient-text { + @apply bg-gradient-to-r from-purple-400 to-blue-400 bg-clip-text text-transparent; + } + + .glow { + @apply shadow-[0_0_30px_rgba(139,92,246,0.3)]; + } + + .pulse-glow { + animation: pulse-glow 2s ease-in-out infinite; + } + + @keyframes pulse-glow { + 0%, 100% { + box-shadow: 0 0 20px rgba(139, 92, 246, 0.3); + } + 50% { + box-shadow: 0 0 40px rgba(139, 92, 246, 0.6); + } + } + + .fade-in { + animation: fadeIn 0.5s ease-in; + } + + @keyframes fadeIn { + from { + opacity: 0; + transform: translateY(10px); + } + to { + opacity: 1; + transform: translateY(0); + } + } +} diff --git a/ai-design-platform/src/main.tsx b/ai-design-platform/src/main.tsx new file mode 100644 index 0000000..bef5202 --- /dev/null +++ b/ai-design-platform/src/main.tsx @@ -0,0 +1,10 @@ +import { StrictMode } from 'react' +import { createRoot } from 'react-dom/client' +import './index.css' +import App from './App.tsx' + +createRoot(document.getElementById('root')!).render( + + + , +) diff --git a/ai-design-platform/src/types/index.ts b/ai-design-platform/src/types/index.ts new file mode 100644 index 0000000..0744f06 --- /dev/null +++ b/ai-design-platform/src/types/index.ts @@ -0,0 +1,129 @@ +// Core Types +export interface User { + id: string; + email: string; + name: string; + role: 'admin' | 'manager' | 'developer' | 'viewer'; + avatar?: string; + createdAt: Date; +} + +export interface AIModel { + id: string; + name: string; + version: string; + status: 'active' | 'training' | 'deployed' | 'archived'; + accuracy: number; + latency: number; + throughput: number; + createdAt: Date; + updatedAt: Date; +} + +export interface SystemMetrics { + cpu: number; + memory: number; + gpu: number; + activeModels: number; + totalRequests: number; + avgLatency: number; +} + +export interface AnalyticsData { + timestamp: Date; + requests: number; + latency: number; + accuracy: number; + throughput: number; +} + +export interface TeamMember { + id: string; + name: string; + role: string; + avatar?: string; + status: 'online' | 'offline' | 'busy'; + lastActive: Date; +} + +export interface IndustryTemplate { + id: string; + name: string; + industry: string; + description: string; + models: string[]; + roi: number; + timeline: string; + compliance: string[]; + icon: string; +} + +export interface Integration { + id: string; + name: string; + category: string; + description: string; + icon: string; + installed: boolean; + status: 'active' | 'inactive' | 'configuring'; +} + +export interface SecurityFramework { + id: string; + name: string; + status: 'compliant' | 'in-progress' | 'not-compliant'; + progress: number; + lastAudit: Date; + controls: number; +} + +export interface AIPersonality { + id: 'professional' | 'friendly' | 'teacher' | 'mentor'; + name: string; + description: string; + traits: string[]; +} + +export interface ConversationMessage { + id: string; + role: 'user' | 'assistant'; + content: string; + timestamp: Date; + emotion?: string; + language?: string; +} + +export interface VoiceSettings { + alwaysOn: boolean; + voiceResponse: boolean; + personality: AIPersonality['id']; + language: string; + speechRate: number; + pitch: number; +} + +export interface ROICalculation { + currentCost: number; + aiCost: number; + monthlySavings: number; + annualSavings: number; + productivity: number; + breakEven: number; +} + +export interface Playbook { + id: string; + title: string; + description: string; + timeline: string; + steps: PlaybookStep[]; + progress: number; +} + +export interface PlaybookStep { + id: string; + title: string; + description: string; + completed: boolean; + resources: string[]; +} diff --git a/ai-design-platform/tailwind.config.js b/ai-design-platform/tailwind.config.js new file mode 100644 index 0000000..908d9d8 --- /dev/null +++ b/ai-design-platform/tailwind.config.js @@ -0,0 +1,30 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: [ + "./index.html", + "./src/**/*.{js,ts,jsx,tsx}", + ], + theme: { + extend: { + colors: { + purple: { + 500: '#8B5CF6', + 600: '#7C3AED', + 700: '#6D28D9', + }, + blue: { + 500: '#3B82F6', + 600: '#2563EB', + }, + }, + backgroundImage: { + 'gradient-purple': 'linear-gradient(135deg, #667eea 0%, #764ba2 100%)', + 'gradient-blue': 'linear-gradient(135deg, #667eea 0%, #4299e1 100%)', + }, + backdropBlur: { + xs: '2px', + }, + }, + }, + plugins: [], +} diff --git a/ai-design-platform/tsconfig.app.json b/ai-design-platform/tsconfig.app.json new file mode 100644 index 0000000..a9b5a59 --- /dev/null +++ b/ai-design-platform/tsconfig.app.json @@ -0,0 +1,28 @@ +{ + "compilerOptions": { + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo", + "target": "ES2022", + "useDefineForClassFields": true, + "lib": ["ES2022", "DOM", "DOM.Iterable"], + "module": "ESNext", + "types": ["vite/client"], + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "moduleDetection": "force", + "noEmit": true, + "jsx": "react-jsx", + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "erasableSyntaxOnly": true, + "noFallthroughCasesInSwitch": true, + "noUncheckedSideEffectImports": true + }, + "include": ["src"] +} diff --git a/ai-design-platform/tsconfig.json b/ai-design-platform/tsconfig.json new file mode 100644 index 0000000..1ffef60 --- /dev/null +++ b/ai-design-platform/tsconfig.json @@ -0,0 +1,7 @@ +{ + "files": [], + "references": [ + { "path": "./tsconfig.app.json" }, + { "path": "./tsconfig.node.json" } + ] +} diff --git a/ai-design-platform/tsconfig.node.json b/ai-design-platform/tsconfig.node.json new file mode 100644 index 0000000..8a67f62 --- /dev/null +++ b/ai-design-platform/tsconfig.node.json @@ -0,0 +1,26 @@ +{ + "compilerOptions": { + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo", + "target": "ES2023", + "lib": ["ES2023"], + "module": "ESNext", + "types": ["node"], + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "moduleDetection": "force", + "noEmit": true, + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "erasableSyntaxOnly": true, + "noFallthroughCasesInSwitch": true, + "noUncheckedSideEffectImports": true + }, + "include": ["vite.config.ts"] +} diff --git a/ai-design-platform/vite.config.ts b/ai-design-platform/vite.config.ts new file mode 100644 index 0000000..8b0f57b --- /dev/null +++ b/ai-design-platform/vite.config.ts @@ -0,0 +1,7 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react' + +// https://vite.dev/config/ +export default defineConfig({ + plugins: [react()], +}) From 6eae3039d42b97a4a66c2aeb63c104e0cc877b95 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 16 Feb 2026 03:57:29 +0000 Subject: [PATCH 3/6] Add enterprise components for AI Design Platform - IndustryTemplates: 7 industry templates with ROI projections and compliance - SecurityCompliance: Dashboard for 6 compliance frameworks with progress tracking - ROICalculator: Interactive calculator with Recharts visualizations - IntegrationMarketplace: 14+ platform integrations with search and filtering All components use TypeScript, glass morphism design, and lucide-react icons. Total: 1,381 lines of production-ready code. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../enterprise/IndustryTemplates.tsx | 244 ++++++++++ .../enterprise/IntegrationMarketplace.tsx | 459 ++++++++++++++++++ .../src/components/enterprise/README.md | 130 +++++ .../components/enterprise/ROICalculator.tsx | 352 ++++++++++++++ .../enterprise/SecurityCompliance.tsx | 326 +++++++++++++ .../src/components/enterprise/index.ts | 4 + 6 files changed, 1515 insertions(+) create mode 100644 ai-design-platform/src/components/enterprise/IndustryTemplates.tsx create mode 100644 ai-design-platform/src/components/enterprise/IntegrationMarketplace.tsx create mode 100644 ai-design-platform/src/components/enterprise/README.md create mode 100644 ai-design-platform/src/components/enterprise/ROICalculator.tsx create mode 100644 ai-design-platform/src/components/enterprise/SecurityCompliance.tsx create mode 100644 ai-design-platform/src/components/enterprise/index.ts diff --git a/ai-design-platform/src/components/enterprise/IndustryTemplates.tsx b/ai-design-platform/src/components/enterprise/IndustryTemplates.tsx new file mode 100644 index 0000000..ce762a9 --- /dev/null +++ b/ai-design-platform/src/components/enterprise/IndustryTemplates.tsx @@ -0,0 +1,244 @@ +import React from 'react'; +import { + Heart, + DollarSign, + ShoppingCart, + Factory, + Truck, + GraduationCap, + Clock, + TrendingUp, + Shield, + CheckCircle +} from 'lucide-react'; +import type { IndustryTemplate } from '../../types'; + +export const IndustryTemplates: React.FC = () => { + const templates: IndustryTemplate[] = [ + { + id: '1', + name: 'Healthcare AI Suite', + industry: 'Healthcare', + description: 'HIPAA-compliant medical imaging analysis, patient diagnosis support, and treatment recommendation systems', + models: ['Medical Imaging CNN', 'Diagnosis NLP', 'Treatment Optimizer'], + roi: 340, + timeline: '8-12 weeks', + compliance: ['HIPAA', 'HL7', 'FHIR', 'FDA 21 CFR Part 11'], + icon: 'heart' + }, + { + id: '2', + name: 'Financial Services Platform', + industry: 'Finance', + description: 'Real-time fraud detection, credit risk analysis, algorithmic trading, and anti-money laundering', + models: ['Fraud Detection ML', 'Risk Scoring', 'Transaction Anomaly Detection'], + roi: 420, + timeline: '10-14 weeks', + compliance: ['PCI DSS', 'SOC 2', 'GLBA', 'SOX'], + icon: 'dollar' + }, + { + id: '3', + name: 'Retail Intelligence', + industry: 'Retail', + description: 'Customer behavior analytics, demand forecasting, dynamic pricing, and inventory optimization', + models: ['Customer Segmentation', 'Demand Forecasting LSTM', 'Price Optimization'], + roi: 285, + timeline: '6-10 weeks', + compliance: ['GDPR', 'CCPA', 'PCI DSS'], + icon: 'cart' + }, + { + id: '4', + name: 'Manufacturing Optimizer', + industry: 'Manufacturing', + description: 'Predictive maintenance, quality control automation, production optimization, and supply chain forecasting', + models: ['Predictive Maintenance', 'Quality Vision AI', 'Production Scheduler'], + roi: 380, + timeline: '12-16 weeks', + compliance: ['ISO 9001', 'ISO 27001', 'OSHA'], + icon: 'factory' + }, + { + id: '5', + name: 'Logistics Optimizer', + industry: 'Logistics', + description: 'Route optimization, fleet management, delivery prediction, and warehouse automation', + models: ['Route Optimizer', 'Demand Prediction', 'Fleet Management AI'], + roi: 310, + timeline: '8-12 weeks', + compliance: ['ISO 28000', 'CTPAT', 'GDPR'], + icon: 'truck' + }, + { + id: '6', + name: 'Education Platform', + industry: 'Education', + description: 'Personalized learning paths, student performance prediction, content recommendation, and automated grading', + models: ['Learning Path Generator', 'Performance Predictor', 'Content Recommender'], + roi: 220, + timeline: '6-8 weeks', + compliance: ['FERPA', 'COPPA', 'GDPR'], + icon: 'graduation' + }, + { + id: '7', + name: 'Energy Management', + industry: 'Energy', + description: 'Smart grid optimization, energy consumption forecasting, renewable energy prediction, and fault detection', + models: ['Load Forecasting', 'Grid Optimizer', 'Anomaly Detection'], + roi: 350, + timeline: '10-14 weeks', + compliance: ['NERC CIP', 'ISO 50001', 'IEC 62443'], + icon: 'zap' + } + ]; + + const getIcon = (iconName: string) => { + const icons: { [key: string]: React.ReactNode } = { + heart: , + dollar: , + cart: , + factory: , + truck: , + graduation: , + zap: + }; + return icons[iconName] || ; + }; + + return ( +
+
+
+

Industry Templates

+

Pre-configured AI solutions tailored for your industry

+
+ +
+ + {/* Stats Overview */} +
+
+
Total Templates
+
{templates.length}
+
+
+
Avg ROI
+
+ {Math.round(templates.reduce((sum, t) => sum + t.roi, 0) / templates.length)}% +
+
+
+
Industries Covered
+
{templates.length}
+
+
+
Compliance Standards
+
+ {new Set(templates.flatMap(t => t.compliance)).size} +
+
+
+ + {/* Templates Grid */} +
+ {templates.map((template) => ( +
+ {/* Header */} +
+
+ {getIcon(template.icon)} +
+ + {template.roi}% ROI + +
+ + {/* Content */} +

{template.name}

+
{template.industry}
+

{template.description}

+ + {/* Models */} +
+
Included Models:
+
+ {template.models.map((model, idx) => ( +
+ + {model} +
+ ))} +
+
+ + {/* Timeline & Compliance */} +
+
+ + Timeline: + {template.timeline} +
+
+ +
+ Compliance: +
+ {template.compliance.slice(0, 3).map((cert, idx) => ( + + {cert} + + ))} + {template.compliance.length > 3 && ( + + +{template.compliance.length - 3} + + )} +
+
+
+
+ + {/* Action Buttons */} +
+ + +
+
+ ))} +
+ + {/* Use Cases Section */} +
+

Popular Use Cases by Industry

+
+
+
Healthcare
+
    +
  • • Radiology image analysis
  • +
  • • Patient readmission prediction
  • +
  • • Drug interaction detection
  • +
+
+
+
Finance
+
    +
  • • Credit card fraud prevention
  • +
  • • Loan default prediction
  • +
  • • Market sentiment analysis
  • +
+
+
+
Retail
+
    +
  • • Churn prediction & prevention
  • +
  • • Product recommendation
  • +
  • • Visual search & discovery
  • +
+
+
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/enterprise/IntegrationMarketplace.tsx b/ai-design-platform/src/components/enterprise/IntegrationMarketplace.tsx new file mode 100644 index 0000000..824da33 --- /dev/null +++ b/ai-design-platform/src/components/enterprise/IntegrationMarketplace.tsx @@ -0,0 +1,459 @@ +import React, { useState, useMemo } from 'react'; +import { + Search, + Cloud, + Database, + Zap, + CheckCircle, + XCircle, + Settings, + Download, + Filter, + ExternalLink +} from 'lucide-react'; +import type { Integration } from '../../types'; + +export const IntegrationMarketplace: React.FC = () => { + const [searchQuery, setSearchQuery] = useState(''); + const [selectedCategory, setSelectedCategory] = useState('all'); + + const integrations: Integration[] = [ + { + id: '1', + name: 'AWS SageMaker', + category: 'ML Platform', + description: 'Build, train, and deploy machine learning models at scale with AWS SageMaker integration', + icon: '☁️', + installed: true, + status: 'active' + }, + { + id: '2', + name: 'Azure ML', + category: 'ML Platform', + description: 'Enterprise-grade machine learning service to build and deploy models faster', + icon: '☁️', + installed: true, + status: 'active' + }, + { + id: '3', + name: 'Google Cloud AI', + category: 'ML Platform', + description: 'Leverage Google Cloud AI and machine learning products for your AI workloads', + icon: '☁️', + installed: false, + status: 'inactive' + }, + { + id: '4', + name: 'Snowflake', + category: 'Data Warehouse', + description: 'Cloud data platform for data warehousing, data lakes, and data engineering', + icon: '❄️', + installed: true, + status: 'active' + }, + { + id: '5', + name: 'Databricks', + category: 'Data Platform', + description: 'Unified analytics platform for data engineering, ML, and analytics', + icon: '🔷', + installed: true, + status: 'active' + }, + { + id: '6', + name: 'BigQuery', + category: 'Data Warehouse', + description: 'Serverless, highly scalable data warehouse from Google Cloud', + icon: '📊', + installed: false, + status: 'inactive' + }, + { + id: '7', + name: 'PostgreSQL', + category: 'Database', + description: 'Advanced open-source relational database with powerful features', + icon: '🐘', + installed: true, + status: 'active' + }, + { + id: '8', + name: 'MongoDB', + category: 'Database', + description: 'Document-oriented NoSQL database for modern application development', + icon: '🍃', + installed: true, + status: 'active' + }, + { + id: '9', + name: 'Redis', + category: 'Cache', + description: 'In-memory data structure store for caching and real-time analytics', + icon: '⚡', + installed: true, + status: 'configuring' + }, + { + id: '10', + name: 'Apache Kafka', + category: 'Streaming', + description: 'Distributed event streaming platform for high-performance data pipelines', + icon: '📨', + installed: false, + status: 'inactive' + }, + { + id: '11', + name: 'Elasticsearch', + category: 'Search', + description: 'Distributed search and analytics engine for all types of data', + icon: '🔍', + installed: false, + status: 'inactive' + }, + { + id: '12', + name: 'Apache Spark', + category: 'Processing', + description: 'Unified analytics engine for large-scale data processing', + icon: '⚙️', + installed: false, + status: 'inactive' + }, + { + id: '13', + name: 'MLflow', + category: 'ML Ops', + description: 'Open-source platform for managing the ML lifecycle', + icon: '🔄', + installed: true, + status: 'active' + }, + { + id: '14', + name: 'Kubeflow', + category: 'ML Ops', + description: 'Machine learning toolkit for Kubernetes deployments', + icon: '☸️', + installed: false, + status: 'inactive' + } + ]; + + const categories = useMemo(() => { + const cats = new Set(integrations.map(i => i.category)); + return ['all', ...Array.from(cats)]; + }, [integrations]); + + const filteredIntegrations = useMemo(() => { + return integrations.filter(integration => { + const matchesSearch = integration.name.toLowerCase().includes(searchQuery.toLowerCase()) || + integration.description.toLowerCase().includes(searchQuery.toLowerCase()); + const matchesCategory = selectedCategory === 'all' || integration.category === selectedCategory; + return matchesSearch && matchesCategory; + }); + }, [integrations, searchQuery, selectedCategory]); + + const stats = useMemo(() => { + const installed = integrations.filter(i => i.installed).length; + const active = integrations.filter(i => i.status === 'active').length; + return { total: integrations.length, installed, active }; + }, [integrations]); + + const getStatusBadge = (status: Integration['status']) => { + switch (status) { + case 'active': + return ( + + + Active + + ); + case 'configuring': + return ( + + + Configuring + + ); + case 'inactive': + return ( + + + Not Installed + + ); + } + }; + + const getCategoryIcon = (category: string) => { + const icons: { [key: string]: React.ReactNode } = { + 'ML Platform': , + 'Data Warehouse': , + 'Data Platform': , + 'Database': , + 'Cache': , + 'Streaming': , + 'Search': , + 'Processing': , + 'ML Ops': + }; + return icons[category] || ; + }; + + return ( +
+
+
+

Integration Marketplace

+

Connect your favorite tools and platforms

+
+ +
+ + {/* Stats */} +
+
+
Total Integrations
+
{stats.total}
+
+
+
Installed
+
{stats.installed}
+
+
+
Active
+
{stats.active}
+
+
+
Categories
+
{categories.length - 1}
+
+
+ + {/* Search & Filters */} +
+
+ {/* Search */} +
+ + setSearchQuery(e.target.value)} + className="w-full pl-10 pr-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:border-purple-500 focus:outline-none" + /> +
+ + {/* Category Filter */} +
+ + +
+
+
+ + {/* Integrations Grid */} +
+ {filteredIntegrations.map((integration) => ( +
+ {/* Header */} +
+
+
{integration.icon}
+
+

{integration.name}

+
+ {getCategoryIcon(integration.category)} + {integration.category} +
+
+
+
+ + {/* Description */} +

+ {integration.description} +

+ + {/* Status */} +
+ {getStatusBadge(integration.status)} +
+ + {/* Connection Info */} + {integration.installed && ( +
+
Connection Status
+
+
+ {integration.status === 'active' ? ( + <> +
+ Connected + + ) : ( + <> +
+ Configuring + + )} +
+ +
+
+ )} + + {/* Actions */} +
+ {integration.installed ? ( + <> + + + + ) : ( + <> + + + + )} +
+
+ ))} +
+ + {/* Popular Integrations */} +
+

Popular Integration Stacks

+
+
+
🚀 ML Production Stack
+
+
+ + AWS SageMaker +
+
+ + MLflow +
+
+ + PostgreSQL +
+
+ +
+ +
+
📊 Data Analytics Stack
+
+
+ + Snowflake +
+
+ + Databricks +
+
+ + Apache Spark +
+
+ +
+ +
+
⚡ Real-time Processing
+
+
+ + Redis +
+
+ + Apache Kafka +
+
+ + MongoDB +
+
+ +
+
+
+ + {/* Integration Benefits */} +
+

Integration Benefits

+
+
+

For Data Teams

+
    +
  • + + Seamless data pipeline integration with existing infrastructure +
  • +
  • + + Automated data synchronization across platforms +
  • +
  • + + Support for multiple data formats and protocols +
  • +
+
+
+

For ML Engineers

+
    +
  • + + One-click model deployment to production environments +
  • +
  • + + Centralized experiment tracking and model versioning +
  • +
  • + + Automated CI/CD pipelines for ML workflows +
  • +
+
+
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/enterprise/README.md b/ai-design-platform/src/components/enterprise/README.md new file mode 100644 index 0000000..592b309 --- /dev/null +++ b/ai-design-platform/src/components/enterprise/README.md @@ -0,0 +1,130 @@ +# Enterprise Components + +This directory contains enterprise-grade React TypeScript components for the AI Design Platform. + +## Components + +### 1. IndustryTemplates.tsx +Pre-configured AI solution templates for 7+ industries: +- **Healthcare**: HIPAA-compliant medical imaging, diagnosis support +- **Finance**: Fraud detection, risk analysis, trading algorithms +- **Retail**: Customer behavior analytics, demand forecasting, pricing +- **Manufacturing**: Predictive maintenance, quality control, production optimization +- **Logistics**: Route optimization, fleet management, delivery prediction +- **Education**: Personalized learning paths, performance prediction +- **Energy**: Smart grid optimization, consumption forecasting + +Features: +- ROI projections for each template +- Implementation timelines +- Compliance framework tracking +- Use case descriptions +- Grid layout with glass morphism cards + +### 2. SecurityCompliance.tsx +Comprehensive compliance dashboard for security standards: +- **Frameworks**: SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, FedRAMP +- Progress bars for compliance status +- Security controls count tracking +- Last audit date monitoring +- Certificate tracking and expiry +- Status indicators (compliant/in-progress/not-compliant) + +Features: +- Overall compliance percentage +- Framework-specific progress tracking +- Active certificates display +- Recent audit activity log +- Security controls summary + +### 3. ROICalculator.tsx +Interactive ROI calculator with real-time projections: +- Input fields for current costs, team size, hourly rates +- Real-time calculation of monthly/annual savings +- Productivity metrics and improvements +- Break-even analysis +- Cost comparison charts (Recharts) +- Cumulative savings projections + +Features: +- Labor cost reduction calculations +- Error cost reduction tracking +- Time efficiency gains +- Monthly vs. With-AI cost comparison charts +- 12-month cumulative savings projection +- Key insights and recommendations + +### 4. IntegrationMarketplace.tsx +Integration marketplace with 14+ platforms: + +**ML Platforms**: +- AWS SageMaker +- Azure ML +- Google Cloud AI + +**Data Platforms**: +- Snowflake +- Databricks +- BigQuery + +**Databases**: +- PostgreSQL +- MongoDB +- Redis + +**Other Tools**: +- Apache Kafka +- Elasticsearch +- Apache Spark +- MLflow +- Kubeflow + +Features: +- Category-based filtering +- Search functionality +- Installation status tracking +- Connection testing UI +- Popular integration stacks +- Integration benefits breakdown + +## Usage + +```tsx +import { + IndustryTemplates, + SecurityCompliance, + ROICalculator, + IntegrationMarketplace +} from './components/enterprise'; + +// In your routing or tab component + + + + +``` + +## Design System + +All components follow the AI Design Platform design system: +- **Glass morphism**: `card`, `card-hover` classes +- **Gradients**: `gradient-text`, `btn-primary`, `btn-secondary` +- **Icons**: lucide-react icon library +- **Charts**: Recharts library for data visualization +- **Animations**: `fade-in` class for smooth transitions + +## Type Safety + +All components use TypeScript types from `src/types/index.ts`: +- `IndustryTemplate` +- `SecurityFramework` +- `ROICalculation` +- `Integration` + +## Sample Data + +Each component includes comprehensive mock data for demonstration: +- Industry templates with realistic use cases +- Compliance frameworks with progress tracking +- ROI calculations with multiple variables +- Integration platforms with status indicators diff --git a/ai-design-platform/src/components/enterprise/ROICalculator.tsx b/ai-design-platform/src/components/enterprise/ROICalculator.tsx new file mode 100644 index 0000000..463c8f3 --- /dev/null +++ b/ai-design-platform/src/components/enterprise/ROICalculator.tsx @@ -0,0 +1,352 @@ +import React, { useState, useMemo } from 'react'; +import { Calculator, DollarSign, TrendingUp, Users, Clock, Zap, BarChart3 } from 'lucide-react'; +import { BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer, LineChart, Line } from 'recharts'; +import type { ROICalculation } from '../../types'; + +export const ROICalculator: React.FC = () => { + const [inputs, setInputs] = useState({ + currentMonthlyCost: 50000, + teamSize: 15, + avgHourlyRate: 75, + manualHoursPerMonth: 320, + errorRate: 5, + processingTimeHours: 160 + }); + + const calculation = useMemo((): ROICalculation & { + errorReduction: number; + timeReduction: number; + productivityGain: number; + monthlyErrorCost: number; + monthlyTimeSavings: number; + } => { + // AI platform cost (tiered pricing) + const aiMonthlyCost = inputs.teamSize <= 10 ? 5000 : + inputs.teamSize <= 25 ? 8000 : + inputs.teamSize <= 50 ? 12000 : 18000; + + // Calculate savings + const manualLaborCost = inputs.manualHoursPerMonth * inputs.avgHourlyRate; + const errorCostReduction = (inputs.currentMonthlyCost * inputs.errorRate / 100) * 0.8; // 80% error reduction + const timeEfficiency = inputs.processingTimeHours * inputs.avgHourlyRate * 0.6; // 60% time savings + + const monthlySavings = manualLaborCost * 0.7 + errorCostReduction + timeEfficiency - aiMonthlyCost; + const annualSavings = monthlySavings * 12; + + // Productivity metrics + const productivityGain = ((manualLaborCost * 0.7 + timeEfficiency) / inputs.currentMonthlyCost) * 100; + + // Break-even calculation (months) + const implementationCost = 25000; // One-time setup + const breakEven = monthlySavings > 0 ? implementationCost / monthlySavings : 0; + + return { + currentCost: inputs.currentMonthlyCost, + aiCost: aiMonthlyCost, + monthlySavings: Math.max(0, monthlySavings), + annualSavings: Math.max(0, annualSavings), + productivity: productivityGain, + breakEven: breakEven, + errorReduction: 80, + timeReduction: 60, + productivityGain: productivityGain, + monthlyErrorCost: errorCostReduction, + monthlyTimeSavings: timeEfficiency + }; + }, [inputs]); + + const projectionData = Array.from({ length: 12 }, (_, i) => ({ + month: `Month ${i + 1}`, + manual: inputs.currentMonthlyCost, + withAI: calculation.aiCost, + savings: calculation.monthlySavings + })); + + const cumulativeSavings = Array.from({ length: 12 }, (_, i) => ({ + month: `M${i + 1}`, + savings: calculation.monthlySavings * (i + 1) - (i === 0 ? 25000 : 0) + })); + + const handleInputChange = (field: keyof typeof inputs, value: number) => { + setInputs(prev => ({ ...prev, [field]: value })); + }; + + return ( +
+
+
+

ROI Calculator

+

Calculate your return on investment with AI automation

+
+
+ + +
+
+ + {/* Key Metrics */} +
+
+
Monthly Savings
+
+ ${calculation.monthlySavings.toLocaleString()} +
+
After AI implementation
+
+
+
Annual Savings
+
+ ${calculation.annualSavings.toLocaleString()} +
+
First year projection
+
+
+
Break-even Point
+
+ {calculation.breakEven.toFixed(1)} +
+
Months to ROI
+
+
+
Productivity Gain
+
+ +{calculation.productivity.toFixed(0)}% +
+
Efficiency improvement
+
+
+ +
+ {/* Input Parameters */} +
+
+ +

Input Parameters

+
+ +
+ {/* Current Monthly Cost */} +
+ + handleInputChange('currentMonthlyCost', Number(e.target.value))} + className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:border-purple-500 focus:outline-none" + /> +
+ + {/* Team Size */} +
+ + handleInputChange('teamSize', Number(e.target.value))} + className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:border-purple-500 focus:outline-none" + /> +
+ + {/* Average Hourly Rate */} +
+ + handleInputChange('avgHourlyRate', Number(e.target.value))} + className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:border-purple-500 focus:outline-none" + /> +
+ + {/* Manual Hours */} +
+ + handleInputChange('manualHoursPerMonth', Number(e.target.value))} + className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:border-purple-500 focus:outline-none" + /> +
+ + {/* Error Rate */} +
+ + handleInputChange('errorRate', Number(e.target.value))} + className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:border-purple-500 focus:outline-none" + /> +
+ + {/* Processing Time */} +
+ + handleInputChange('processingTimeHours', Number(e.target.value))} + className="w-full px-4 py-2 bg-gray-800 border border-gray-700 rounded-lg focus:border-purple-500 focus:outline-none" + /> +
+
+
+ + {/* Savings Breakdown */} +
+
+ +

Savings Breakdown

+
+ +
+
+
+ Labor Cost Reduction + + ${(inputs.manualHoursPerMonth * inputs.avgHourlyRate * 0.7).toLocaleString()} + +
+
70% automation of manual tasks
+
+ +
+
+ Error Cost Reduction + + ${calculation.monthlyErrorCost.toLocaleString()} + +
+
{calculation.errorReduction}% reduction in errors
+
+ +
+
+ Time Efficiency Gains + + ${calculation.monthlyTimeSavings.toLocaleString()} + +
+
{calculation.timeReduction}% faster processing
+
+ +
+
+ AI Platform Cost + + -${calculation.aiCost.toLocaleString()} + +
+
Monthly subscription
+
+
+ +
+
+ Net Monthly Savings + + ${calculation.monthlySavings.toLocaleString()} + +
+
+
+
+ + {/* Cost Comparison Chart */} +
+

Monthly Cost Comparison

+ + + + + + + + + + + + +
+ + {/* Cumulative Savings */} +
+

Cumulative Savings Over Time

+ + + + + + + + + + +
+ + {/* Key Insights */} +
+

Key Insights

+
+
+
💰 First Year ROI
+
+ You'll save ${calculation.annualSavings.toLocaleString()} in the first year, + achieving break-even in just {calculation.breakEven.toFixed(1)} months. +
+
+
+
⚡ Productivity Boost
+
+ Team productivity increases by {calculation.productivity.toFixed(0)}%, allowing focus on high-value strategic work. +
+
+
+
🎯 Error Reduction
+
+ {calculation.errorReduction}% reduction in errors saves approximately ${calculation.monthlyErrorCost.toLocaleString()}/month in rework costs. +
+
+
+
⏱️ Time Savings
+
+ {calculation.timeReduction}% faster processing frees up {(inputs.processingTimeHours * 0.6).toFixed(0)} hours per month for your team. +
+
+
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/enterprise/SecurityCompliance.tsx b/ai-design-platform/src/components/enterprise/SecurityCompliance.tsx new file mode 100644 index 0000000..7de5681 --- /dev/null +++ b/ai-design-platform/src/components/enterprise/SecurityCompliance.tsx @@ -0,0 +1,326 @@ +import React from 'react'; +import { Shield, CheckCircle, Clock, AlertTriangle, Award, FileText, Calendar, TrendingUp } from 'lucide-react'; +import type { SecurityFramework } from '../../types'; + +export const SecurityCompliance: React.FC = () => { + const frameworks: SecurityFramework[] = [ + { + id: '1', + name: 'SOC 2 Type II', + status: 'compliant', + progress: 100, + lastAudit: new Date('2024-01-15'), + controls: 64 + }, + { + id: '2', + name: 'ISO 27001', + status: 'compliant', + progress: 100, + lastAudit: new Date('2024-02-20'), + controls: 114 + }, + { + id: '3', + name: 'GDPR', + status: 'compliant', + progress: 100, + lastAudit: new Date('2024-01-10'), + controls: 42 + }, + { + id: '4', + name: 'HIPAA', + status: 'in-progress', + progress: 78, + lastAudit: new Date('2023-11-30'), + controls: 56 + }, + { + id: '5', + name: 'PCI DSS', + status: 'in-progress', + progress: 85, + lastAudit: new Date('2024-02-01'), + controls: 78 + }, + { + id: '6', + name: 'FedRAMP', + status: 'not-compliant', + progress: 45, + lastAudit: new Date('2023-10-15'), + controls: 325 + } + ]; + + const certificates = [ + { name: 'SOC 2 Type II', issueDate: '2024-01-15', expiryDate: '2025-01-15', status: 'active' }, + { name: 'ISO 27001:2013', issueDate: '2024-02-20', expiryDate: '2027-02-20', status: 'active' }, + { name: 'GDPR Compliance', issueDate: '2024-01-10', expiryDate: '2025-01-10', status: 'active' } + ]; + + const getStatusColor = (status: SecurityFramework['status']) => { + switch (status) { + case 'compliant': + return 'text-green-400 bg-green-500/20 border-green-500/20'; + case 'in-progress': + return 'text-yellow-400 bg-yellow-500/20 border-yellow-500/20'; + case 'not-compliant': + return 'text-red-400 bg-red-500/20 border-red-500/20'; + } + }; + + const getStatusIcon = (status: SecurityFramework['status']) => { + switch (status) { + case 'compliant': + return ; + case 'in-progress': + return ; + case 'not-compliant': + return ; + } + }; + + const getStatusLabel = (status: SecurityFramework['status']) => { + switch (status) { + case 'compliant': + return 'Compliant'; + case 'in-progress': + return 'In Progress'; + case 'not-compliant': + return 'Not Compliant'; + } + }; + + const formatDate = (date: Date) => { + return date.toLocaleDateString('en-US', { year: 'numeric', month: 'short', day: 'numeric' }); + }; + + const daysSinceAudit = (date: Date) => { + const now = new Date(); + const diff = now.getTime() - date.getTime(); + return Math.floor(diff / (1000 * 60 * 60 * 24)); + }; + + const overallCompliance = Math.round( + frameworks.reduce((sum, f) => sum + f.progress, 0) / frameworks.length + ); + + return ( +
+
+
+

Security & Compliance

+

Manage compliance frameworks and security standards

+
+
+ + +
+
+ + {/* Overview Cards */} +
+
+
Overall Compliance
+
{overallCompliance}%
+
↑ 5% from last month
+
+
+
Active Frameworks
+
{frameworks.length}
+
6 standards tracked
+
+
+
Total Controls
+
+ {frameworks.reduce((sum, f) => sum + f.controls, 0)} +
+
Across all frameworks
+
+
+
Active Certificates
+
{certificates.length}
+
All current & valid
+
+
+ + {/* Compliance Status */} +
+
+

Compliance Frameworks

+
+
+
+ Compliant +
+
+
+ In Progress +
+
+
+ Not Compliant +
+
+
+ +
+ {frameworks.map((framework) => ( +
+
+
+ {getStatusIcon(framework.status)} +
+
+

{framework.name}

+ + {getStatusLabel(framework.status)} + +
+
+ {framework.controls} controls + + Last audit: {formatDate(framework.lastAudit)} + + 90 ? 'text-yellow-400' : ''}> + {daysSinceAudit(framework.lastAudit)} days ago + +
+
+
+
+
{framework.progress}%
+
Complete
+
+
+ + {/* Progress Bar */} +
+
+
+
+
+
+ ))} +
+
+ + {/* Certificates */} +
+
+
+ +

Active Certificates

+
+
+ {certificates.map((cert, idx) => ( +
+
+
{cert.name}
+ + Active + +
+
+
+ Issued: + {formatDate(new Date(cert.issueDate))} +
+
+ Expires: + {formatDate(new Date(cert.expiryDate))} +
+
+
+ ))} +
+
+ + {/* Recent Audits */} +
+
+ +

Recent Audit Activity

+
+
+
+
+ +
ISO 27001 Surveillance Audit
+
+
+ Completed on {formatDate(new Date('2024-02-20'))} +
+
✓ No findings
+
+
+
+ +
SOC 2 Type II Examination
+
+
+ Completed on {formatDate(new Date('2024-01-15'))} +
+
✓ Clean report
+
+
+
+ +
HIPAA Gap Assessment
+
+
+ Scheduled for March 15, 2024 +
+
⚠ 3 items to address
+
+
+
+
+ + {/* Security Controls */} +
+
+ +

Security Controls Summary

+
+
+
+
Preventive Controls
+
342
+
+ + 98% effective +
+
+
+
Detective Controls
+
189
+
+ + 96% effective +
+
+
+
Corrective Controls
+
148
+
+ + 94% effective +
+
+
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/enterprise/index.ts b/ai-design-platform/src/components/enterprise/index.ts new file mode 100644 index 0000000..078cf8d --- /dev/null +++ b/ai-design-platform/src/components/enterprise/index.ts @@ -0,0 +1,4 @@ +export { IndustryTemplates } from './IndustryTemplates'; +export { SecurityCompliance } from './SecurityCompliance'; +export { ROICalculator } from './ROICalculator'; +export { IntegrationMarketplace } from './IntegrationMarketplace'; From 79f8b6528e5af01adcd23a7496d7926d83042b46 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 16 Feb 2026 04:03:53 +0000 Subject: [PATCH 4/6] feat: Add enterprise and AI components for platform - ImplementationPlaybooks.tsx: Step-by-step guides with progress tracking * Quick Start (0-30 days) * Enterprise Deployment (30-90 days) * Cloud Migration, Data Integration, Security, Team Onboarding * Progress bars, checklists, resources, timelines - ExecutiveDashboard.tsx: C-level metrics dashboard * Business KPIs (Revenue, Cost Savings, Productivity, Users) * Department usage analytics with visual charts * Model performance distribution (Pie chart) * Strategic achievements timeline - AICompanion.tsx: Conversational AI interface * Floating button with pulse-glow animation * Expandable chat window with message history * Voice activity indicators and real-time transcription * Settings panel (personality, language, voice controls) * Multiple AI personalities (Professional, Friendly, Teacher, Mentor) - AITraining.tsx: Custom AI training studio * Dataset upload with quality metrics * Training progress visualization with charts * Model evaluation metrics (Accuracy, Precision, Recall, F1, AUC-ROC) * Hyperparameter controls with sliders * Active learning interface for uncertain samples * Confusion matrix display All components use: - TypeScript with proper typing - Glass morphism design patterns - lucide-react icons - Recharts for data visualization - useState for state management Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../src/components/ai/AICompanion.tsx | 424 ++++++++++++++ .../src/components/ai/AITraining.tsx | 541 ++++++++++++++++++ ai-design-platform/src/components/ai/index.ts | 2 + .../enterprise/ExecutiveDashboard.tsx | 352 ++++++++++++ .../enterprise/ImplementationPlaybooks.tsx | 485 ++++++++++++++++ .../src/components/enterprise/index.ts | 2 + 6 files changed, 1806 insertions(+) create mode 100644 ai-design-platform/src/components/ai/AICompanion.tsx create mode 100644 ai-design-platform/src/components/ai/AITraining.tsx create mode 100644 ai-design-platform/src/components/ai/index.ts create mode 100644 ai-design-platform/src/components/enterprise/ExecutiveDashboard.tsx create mode 100644 ai-design-platform/src/components/enterprise/ImplementationPlaybooks.tsx diff --git a/ai-design-platform/src/components/ai/AICompanion.tsx b/ai-design-platform/src/components/ai/AICompanion.tsx new file mode 100644 index 0000000..fffb5d2 --- /dev/null +++ b/ai-design-platform/src/components/ai/AICompanion.tsx @@ -0,0 +1,424 @@ +import React, { useState, useRef, useEffect } from 'react'; +import { + MessageCircle, + X, + Send, + Mic, + MicOff, + Settings, + Volume2, + VolumeX, + Minimize2, + Maximize2, + User, + Bot, + Languages, + Sparkles, + Activity +} from 'lucide-react'; +import type { ConversationMessage, AIPersonality, VoiceSettings } from '../../types'; + +export const AICompanion: React.FC = () => { + const [isOpen, setIsOpen] = useState(false); + const [isExpanded, setIsExpanded] = useState(false); + const [showSettings, setShowSettings] = useState(false); + const [messages, setMessages] = useState([ + { + id: '1', + role: 'assistant', + content: 'Hello! I\'m your AI companion. How can I help you today?', + timestamp: new Date(), + emotion: 'friendly' + } + ]); + const [inputMessage, setInputMessage] = useState(''); + const [isListening, setIsListening] = useState(false); + const [isTyping, setIsTyping] = useState(false); + const [transcription, setTranscription] = useState(''); + + const [voiceSettings, setVoiceSettings] = useState({ + alwaysOn: false, + voiceResponse: true, + personality: 'professional', + language: 'en-US', + speechRate: 1.0, + pitch: 1.0 + }); + + const messagesEndRef = useRef(null); + const inputRef = useRef(null); + + const personalities: AIPersonality[] = [ + { + id: 'professional', + name: 'Professional', + description: 'Formal and business-focused', + traits: ['Concise', 'Accurate', 'Efficient'] + }, + { + id: 'friendly', + name: 'Friendly', + description: 'Warm and conversational', + traits: ['Approachable', 'Supportive', 'Encouraging'] + }, + { + id: 'teacher', + name: 'Teacher', + description: 'Educational and patient', + traits: ['Explanatory', 'Patient', 'Detailed'] + }, + { + id: 'mentor', + name: 'Mentor', + description: 'Guiding and strategic', + traits: ['Strategic', 'Insightful', 'Growth-focused'] + } + ]; + + const languages = [ + { code: 'en-US', name: 'English (US)' }, + { code: 'en-GB', name: 'English (UK)' }, + { code: 'es-ES', name: 'Spanish' }, + { code: 'fr-FR', name: 'French' }, + { code: 'de-DE', name: 'German' }, + { code: 'ja-JP', name: 'Japanese' }, + { code: 'zh-CN', name: 'Chinese' } + ]; + + useEffect(() => { + messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' }); + }, [messages]); + + useEffect(() => { + if (isOpen && inputRef.current) { + inputRef.current.focus(); + } + }, [isOpen]); + + const handleSendMessage = () => { + if (!inputMessage.trim()) return; + + const newMessage: ConversationMessage = { + id: Date.now().toString(), + role: 'user', + content: inputMessage, + timestamp: new Date() + }; + + setMessages(prev => [...prev, newMessage]); + setInputMessage(''); + setIsTyping(true); + + // Simulate AI response + setTimeout(() => { + const aiResponse: ConversationMessage = { + id: (Date.now() + 1).toString(), + role: 'assistant', + content: `I understand your question about "${inputMessage}". Let me help you with that...`, + timestamp: new Date(), + emotion: voiceSettings.personality + }; + setMessages(prev => [...prev, aiResponse]); + setIsTyping(false); + }, 1500); + }; + + const toggleVoice = () => { + setIsListening(!isListening); + if (!isListening) { + // Simulate voice recognition + setTranscription('Listening...'); + setTimeout(() => { + setTranscription('How can I improve model accuracy?'); + setInputMessage('How can I improve model accuracy?'); + }, 2000); + } else { + setTranscription(''); + } + }; + + const formatTime = (date: Date) => { + return date.toLocaleTimeString('en-US', { + hour: '2-digit', + minute: '2-digit' + }); + }; + + return ( + <> + {/* Floating AI Button */} + {!isOpen && ( + + )} + + {/* Chat Window */} + {isOpen && ( +
+ {/* Header */} +
+
+
+
+ +
+
+
+
+

AI Companion

+

+ {personalities.find(p => p.id === voiceSettings.personality)?.name} Mode +

+
+
+
+ + + +
+
+ + {/* Settings Panel */} + {showSettings && ( +
+ {/* Personality Selection */} +
+ +
+ {personalities.map((personality) => ( + + ))} +
+
+ + {/* Language Selection */} +
+ + +
+ + {/* Voice Controls */} +
+
+ + setVoiceSettings(prev => ({ ...prev, speechRate: parseFloat(e.target.value) }))} + className="w-full" + /> + {voiceSettings.speechRate}x +
+
+ + setVoiceSettings(prev => ({ ...prev, pitch: parseFloat(e.target.value) }))} + className="w-full" + /> + {voiceSettings.pitch}x +
+
+ + {/* Toggle Options */} +
+ Voice Response + +
+
+ )} + + {/* Messages */} +
+ {messages.map((message) => ( +
+
+ {message.role === 'user' ? ( + + ) : ( + + )} +
+
+
+

{message.content}

+
+ + {formatTime(message.timestamp)} + +
+
+ ))} + + {/* Typing Indicator */} + {isTyping && ( +
+
+ +
+
+
+
+
+
+
+
+
+ )} +
+
+ + {/* Voice Activity Indicator */} + {isListening && ( +
+
+ +
+
Listening...
+ {transcription && ( +
{transcription}
+ )} +
+
+ {[...Array(5)].map((_, i) => ( +
+ ))} +
+
+
+ )} + + {/* Input */} +
+
+ + setInputMessage(e.target.value)} + onKeyPress={(e) => e.key === 'Enter' && handleSendMessage()} + placeholder="Type your message..." + className="flex-1 bg-white/10 border border-white/10 rounded-lg px-4 py-3 text-white placeholder-gray-500 focus:outline-none focus:ring-2 focus:ring-purple-500" + /> + + +
+
+
+ )} + + ); +}; diff --git a/ai-design-platform/src/components/ai/AITraining.tsx b/ai-design-platform/src/components/ai/AITraining.tsx new file mode 100644 index 0000000..ca2f462 --- /dev/null +++ b/ai-design-platform/src/components/ai/AITraining.tsx @@ -0,0 +1,541 @@ +import React, { useState } from 'react'; +import { + Upload, + Brain, + Settings, + Play, + Pause, + RotateCw, + CheckCircle, + FileText, + Database, + Activity, + Target, + Award, + AlertCircle, + Download, + Eye +} from 'lucide-react'; +import { + LineChart, + Line, + XAxis, + YAxis, + CartesianGrid, + Tooltip, + Legend, + ResponsiveContainer +} from 'recharts'; + +interface Dataset { + id: string; + name: string; + size: number; + type: string; + quality: number; + uploaded: Date; +} + +interface TrainingMetrics { + epoch: number; + loss: number; + accuracy: number; + valLoss: number; + valAccuracy: number; +} + +interface HyperParameter { + name: string; + value: number; + min: number; + max: number; + step: number; + description: string; +} + +export const AITraining: React.FC = () => { + const [activeTab, setActiveTab] = useState<'upload' | 'training' | 'evaluation' | 'hyperparameters' | 'active-learning'>('upload'); + const [isTraining, setIsTraining] = useState(false); + const [trainingProgress, setTrainingProgress] = useState(0); + + const [datasets, setDatasets] = useState([ + { + id: '1', + name: 'Customer_Data_2024.csv', + size: 2.4, + type: 'CSV', + quality: 92, + uploaded: new Date('2024-01-15') + }, + { + id: '2', + name: 'Product_Images.zip', + size: 145.8, + type: 'Images', + quality: 88, + uploaded: new Date('2024-01-14') + }, + { + id: '3', + name: 'Transaction_Logs.json', + size: 18.5, + type: 'JSON', + quality: 95, + uploaded: new Date('2024-01-13') + } + ]); + + const [hyperparameters, setHyperparameters] = useState([ + { name: 'Learning Rate', value: 0.001, min: 0.0001, max: 0.1, step: 0.0001, description: 'Controls how much to change the model in response to error' }, + { name: 'Batch Size', value: 32, min: 8, max: 256, step: 8, description: 'Number of samples processed before the model is updated' }, + { name: 'Epochs', value: 100, min: 10, max: 1000, step: 10, description: 'Number of complete passes through the training dataset' }, + { name: 'Dropout Rate', value: 0.2, min: 0, max: 0.8, step: 0.05, description: 'Fraction of neurons to drop for regularization' }, + { name: 'Weight Decay', value: 0.0001, min: 0, max: 0.01, step: 0.0001, description: 'L2 regularization parameter' } + ]); + + const trainingMetrics: TrainingMetrics[] = [ + { epoch: 1, loss: 0.89, accuracy: 65, valLoss: 0.92, valAccuracy: 63 }, + { epoch: 2, loss: 0.75, accuracy: 72, valLoss: 0.78, valAccuracy: 70 }, + { epoch: 3, loss: 0.63, accuracy: 78, valLoss: 0.68, valAccuracy: 76 }, + { epoch: 4, loss: 0.54, accuracy: 82, valLoss: 0.59, valAccuracy: 80 }, + { epoch: 5, loss: 0.47, accuracy: 86, valLoss: 0.52, valAccuracy: 84 }, + { epoch: 6, loss: 0.41, accuracy: 89, valLoss: 0.47, valAccuracy: 87 }, + { epoch: 7, loss: 0.36, accuracy: 91, valLoss: 0.43, valAccuracy: 89 }, + { epoch: 8, loss: 0.32, accuracy: 93, valLoss: 0.40, valAccuracy: 91 } + ]; + + const evaluationMetrics = [ + { name: 'Accuracy', value: 93.2, target: 90, status: 'excellent' }, + { name: 'Precision', value: 91.8, target: 88, status: 'excellent' }, + { name: 'Recall', value: 92.5, target: 87, status: 'excellent' }, + { name: 'F1 Score', value: 92.1, target: 88, status: 'excellent' }, + { name: 'AUC-ROC', value: 0.95, target: 0.90, status: 'excellent' } + ]; + + const activeLearningData = [ + { id: '1', sample: 'Sample #1247', confidence: 45, label: 'Uncertain', priority: 'high' }, + { id: '2', sample: 'Sample #1248', confidence: 52, label: 'Uncertain', priority: 'high' }, + { id: '3', sample: 'Sample #1249', confidence: 61, label: 'Uncertain', priority: 'medium' }, + { id: '4', sample: 'Sample #1250', confidence: 68, label: 'Review', priority: 'medium' }, + { id: '5', sample: 'Sample #1251', confidence: 71, label: 'Review', priority: 'low' } + ]; + + const handleUpload = (e: React.ChangeEvent) => { + const files = e.target.files; + if (files && files.length > 0) { + // Simulate file upload + const newDataset: Dataset = { + id: Date.now().toString(), + name: files[0].name, + size: files[0].size / (1024 * 1024), + type: files[0].type.includes('image') ? 'Images' : + files[0].type.includes('json') ? 'JSON' : 'CSV', + quality: Math.floor(Math.random() * 20) + 80, + uploaded: new Date() + }; + setDatasets(prev => [...prev, newDataset]); + } + }; + + const startTraining = () => { + setIsTraining(true); + setTrainingProgress(0); + + const interval = setInterval(() => { + setTrainingProgress(prev => { + if (prev >= 100) { + clearInterval(interval); + setIsTraining(false); + return 100; + } + return prev + 2; + }); + }, 100); + }; + + const updateHyperparameter = (index: number, value: number) => { + setHyperparameters(prev => prev.map((hp, i) => + i === index ? { ...hp, value } : hp + )); + }; + + return ( +
+ {/* Header */} +
+
+

AI Training Studio

+

Train and optimize custom AI models

+
+
+ + +
+
+ + {/* Tabs */} +
+ {[ + { id: 'upload', label: 'Dataset Upload', icon: }, + { id: 'training', label: 'Training Progress', icon: }, + { id: 'evaluation', label: 'Model Evaluation', icon: }, + { id: 'hyperparameters', label: 'Hyperparameters', icon: }, + { id: 'active-learning', label: 'Active Learning', icon: } + ].map(tab => ( + + ))} +
+ + {/* Dataset Upload */} + {activeTab === 'upload' && ( +
+ {/* Upload Area */} +
+
+ + +
+
+ + {/* Dataset List */} +
+

Uploaded Datasets

+
+ {datasets.map(dataset => ( +
+
+
+
+ {dataset.type === 'Images' ? : } +
+
+

{dataset.name}

+
+ {dataset.size.toFixed(1)} MB + + {dataset.type} + + {dataset.uploaded.toLocaleDateString()} +
+
+
+ Data Quality + = 90 ? 'text-green-400' : + dataset.quality >= 75 ? 'text-yellow-400' : 'text-red-400' + }`}> + {dataset.quality}% + +
+
+
= 90 ? 'bg-green-500' : + dataset.quality >= 75 ? 'bg-yellow-500' : 'bg-red-500' + }`} + style={{ width: `${dataset.quality}%` }} + /> +
+
+
+
+ +
+
+ ))} +
+
+
+ )} + + {/* Training Progress */} + {activeTab === 'training' && ( +
+ {/* Training Status */} +
+
+
+

Training Status

+

+ {isTraining ? 'Model training in progress...' : 'Ready to train'} +

+
+
+ {isTraining && ( +
+ )} + + {isTraining ? 'Active' : 'Idle'} + +
+
+ + {isTraining && ( +
+
+ Overall Progress + {trainingProgress}% +
+
+
+
+
+
+ Epoch: + + {Math.floor(trainingProgress / 12.5)} / 8 + +
+
+ Loss: + 0.32 +
+
+ Accuracy: + 93% +
+
+
+ )} + + + + + + + + + + + + + + +
+
+ )} + + {/* Model Evaluation */} + {activeTab === 'evaluation' && ( +
+
+ {evaluationMetrics.map((metric, idx) => ( +
+
+
+

{metric.name}

+
+ {metric.name === 'AUC-ROC' ? metric.value.toFixed(2) : `${metric.value}%`} +
+
+
+ +
+
+
+ Target: + + {metric.name === 'AUC-ROC' ? metric.target.toFixed(2) : `${metric.target}%`} + + +
+
+ ))} +
+ +
+

Confusion Matrix

+
+
+
True Positive
+
842
+
+
+
False Positive
+
23
+
+
+
False Negative
+
18
+
+
+
True Negative
+
917
+
+
+
+
+ )} + + {/* Hyperparameters */} + {activeTab === 'hyperparameters' && ( +
+
+
+

Hyperparameter Tuning

+

Adjust model training parameters

+
+ +
+ +
+ {hyperparameters.map((param, idx) => ( +
+
+
+

{param.name}

+

{param.description}

+
+
+
{param.value}
+
+ {param.min} - {param.max} +
+
+
+ updateHyperparameter(idx, parseFloat(e.target.value))} + className="w-full h-2 bg-gray-700 rounded-lg appearance-none cursor-pointer accent-purple-500" + /> +
+ {param.min} + {param.max} +
+
+ ))} +
+
+ )} + + {/* Active Learning */} + {activeTab === 'active-learning' && ( +
+
+
+
+

Active Learning Queue

+

Review uncertain predictions for model improvement

+
+ +
+ +
+ {activeLearningData.map((sample) => ( +
+
+
+
+ {sample.sample} + + {sample.priority.toUpperCase()} + +
+
+
+ + Confidence: {sample.confidence}% +
+
+
+
+
+
+
+
+
+ + +
+
+
+ ))} +
+
+
+ )} +
+ ); +}; diff --git a/ai-design-platform/src/components/ai/index.ts b/ai-design-platform/src/components/ai/index.ts new file mode 100644 index 0000000..7b1db1a --- /dev/null +++ b/ai-design-platform/src/components/ai/index.ts @@ -0,0 +1,2 @@ +export { AICompanion } from './AICompanion'; +export { AITraining } from './AITraining'; diff --git a/ai-design-platform/src/components/enterprise/ExecutiveDashboard.tsx b/ai-design-platform/src/components/enterprise/ExecutiveDashboard.tsx new file mode 100644 index 0000000..37f9469 --- /dev/null +++ b/ai-design-platform/src/components/enterprise/ExecutiveDashboard.tsx @@ -0,0 +1,352 @@ +import React, { useState } from 'react'; +import { + TrendingUp, + DollarSign, + Users, + Zap, + Activity, + BarChart3, + Target, + Award, + ChevronUp, + ChevronDown, + Calendar +} from 'lucide-react'; +import { + BarChart, + Bar, + PieChart, + Pie, + Cell, + XAxis, + YAxis, + CartesianGrid, + Tooltip, + Legend, + ResponsiveContainer +} from 'recharts'; + +interface KPI { + title: string; + value: string; + change: number; + trend: 'up' | 'down'; + icon: React.ReactNode; + color: string; +} + +interface DepartmentMetrics { + name: string; + usage: number; + models: number; + roi: number; +} + +export const ExecutiveDashboard: React.FC = () => { + const [timeRange, setTimeRange] = useState<'week' | 'month' | 'quarter'>('month'); + + const kpis: KPI[] = [ + { + title: 'Revenue Impact', + value: '$2.4M', + change: 23.5, + trend: 'up', + icon: , + color: 'from-green-500 to-emerald-500' + }, + { + title: 'Cost Savings', + value: '$840K', + change: 18.2, + trend: 'up', + icon: , + color: 'from-blue-500 to-cyan-500' + }, + { + title: 'Team Productivity', + value: '+34%', + change: 12.8, + trend: 'up', + icon: , + color: 'from-purple-500 to-pink-500' + }, + { + title: 'Active Users', + value: '1,247', + change: 8.4, + trend: 'up', + icon: , + color: 'from-orange-500 to-red-500' + } + ]; + + const departmentData: DepartmentMetrics[] = [ + { name: 'Sales', usage: 92, models: 8, roi: 340 }, + { name: 'Marketing', usage: 87, models: 12, roi: 285 }, + { name: 'Operations', usage: 78, models: 6, roi: 410 }, + { name: 'Finance', usage: 95, models: 5, roi: 520 }, + { name: 'Customer Service', usage: 88, models: 9, roi: 295 }, + { name: 'R&D', usage: 71, models: 15, roi: 180 } + ]; + + const revenueData = [ + { month: 'Jan', ai: 180, manual: 120 }, + { month: 'Feb', ai: 220, manual: 125 }, + { month: 'Mar', ai: 280, manual: 130 }, + { month: 'Apr', ai: 340, manual: 128 }, + { month: 'May', ai: 420, manual: 132 }, + { month: 'Jun', ai: 510, manual: 135 } + ]; + + const modelPerformance = [ + { name: 'Excellent', value: 45, color: '#10b981' }, + { name: 'Good', value: 35, color: '#3b82f6' }, + { name: 'Average', value: 15, color: '#f59e0b' }, + { name: 'Needs Review', value: 5, color: '#ef4444' } + ]; + + const achievements = [ + { + title: 'Revenue Milestone', + description: 'Exceeded $2M AI-driven revenue', + date: '2 days ago', + icon: , + color: 'border-green-500/30 bg-green-500/10' + }, + { + title: 'Enterprise Adoption', + description: '1,000+ active users achieved', + date: '1 week ago', + icon: , + color: 'border-blue-500/30 bg-blue-500/10' + }, + { + title: 'Model Excellence', + description: '95% model accuracy across platform', + date: '2 weeks ago', + icon: , + color: 'border-purple-500/30 bg-purple-500/10' + } + ]; + + return ( +
+ {/* Header */} +
+
+

Executive Dashboard

+

Strategic overview of AI platform performance

+
+
+
+ {(['week', 'month', 'quarter'] as const).map((range) => ( + + ))} +
+ +
+
+ + {/* KPIs */} +
+ {kpis.map((kpi, index) => ( +
+
+
+
+
+ {kpi.icon} +
+
+ {kpi.trend === 'up' ? ( + + ) : ( + + )} + {kpi.change}% +
+
+
{kpi.title}
+
{kpi.value}
+
vs. previous {timeRange}
+
+
+ ))} +
+ +
+ {/* Revenue Comparison */} +
+
+
+

Revenue Impact

+

AI-driven vs. Manual processes

+
+ +
+ + + + + + + + + + + +
+ + {/* Model Performance */} +
+
+

Model Performance

+

Quality distribution

+
+ + + + {modelPerformance.map((entry, index) => ( + + ))} + + + + +
+ {modelPerformance.map((item, idx) => ( +
+
+
+ {item.name} +
+ {item.value}% +
+ ))} +
+
+
+ + {/* Department Analytics */} +
+
+
+

Department Analytics

+

Usage and ROI by business unit

+
+ +
+
+ + + + + + + + + + + {departmentData.map((dept, idx) => ( + + + + + + + ))} + +
DepartmentUsageActive ModelsROI
+ {dept.name} + +
+
+
+
+ + {dept.usage}% + +
+
+ {dept.models} + + 400 ? 'text-green-400' : + dept.roi > 250 ? 'text-blue-400' : 'text-yellow-400' + }`}> + {dept.roi}% + +
+
+
+ + {/* Strategic Achievements */} +
+
+

Strategic Achievements

+

Recent milestones and accomplishments

+
+
+ {achievements.map((achievement, idx) => ( +
+
+
+ {achievement.icon} +
+
+

{achievement.title}

+

{achievement.description}

+ {achievement.date} +
+
+
+ ))} +
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/enterprise/ImplementationPlaybooks.tsx b/ai-design-platform/src/components/enterprise/ImplementationPlaybooks.tsx new file mode 100644 index 0000000..21695b1 --- /dev/null +++ b/ai-design-platform/src/components/enterprise/ImplementationPlaybooks.tsx @@ -0,0 +1,485 @@ +import React, { useState } from 'react'; +import { + BookOpen, + Clock, + CheckCircle, + Circle, + Rocket, + Building2, + Cloud, + Database, + Shield, + Users, + Download, + Play, + ChevronRight, + Award +} from 'lucide-react'; +import type { Playbook } from '../../types'; + +export const ImplementationPlaybooks: React.FC = () => { + const [selectedPlaybook, setSelectedPlaybook] = useState('quick-start'); + + const playbooks: Playbook[] = [ + { + id: 'quick-start', + title: 'Quick Start', + description: 'Get up and running with AI platform in 30 days', + timeline: '0-30 days', + progress: 65, + steps: [ + { + id: '1', + title: 'Environment Setup', + description: 'Configure cloud infrastructure and development environment', + completed: true, + resources: ['AWS Setup Guide', 'Azure Quick Start', 'GCP Configuration'] + }, + { + id: '2', + title: 'User Onboarding', + description: 'Create user accounts and assign roles', + completed: true, + resources: ['User Management Guide', 'RBAC Documentation', 'SSO Integration'] + }, + { + id: '3', + title: 'First Model Deployment', + description: 'Deploy your first pre-trained AI model', + completed: true, + resources: ['Model Deployment Guide', 'API Documentation', 'Testing Checklist'] + }, + { + id: '4', + title: 'Integration Testing', + description: 'Test API endpoints and model responses', + completed: false, + resources: ['Testing Framework', 'API Examples', 'Postman Collection'] + }, + { + id: '5', + title: 'Production Launch', + description: 'Deploy to production and monitor performance', + completed: false, + resources: ['Launch Checklist', 'Monitoring Setup', 'Rollback Plan'] + } + ] + }, + { + id: 'enterprise-deployment', + title: 'Enterprise Deployment', + description: 'Full-scale enterprise rollout with governance', + timeline: '30-90 days', + progress: 40, + steps: [ + { + id: '1', + title: 'Architecture Review', + description: 'Design scalable architecture for enterprise workloads', + completed: true, + resources: ['Architecture Blueprint', 'Scalability Guide', 'High Availability Setup'] + }, + { + id: '2', + title: 'Security Audit', + description: 'Implement security controls and compliance measures', + completed: true, + resources: ['Security Checklist', 'Compliance Framework', 'Penetration Testing'] + }, + { + id: '3', + title: 'Multi-Region Setup', + description: 'Deploy across multiple geographic regions', + completed: false, + resources: ['Global Deployment Guide', 'Data Residency', 'Latency Optimization'] + }, + { + id: '4', + title: 'Governance Framework', + description: 'Establish AI governance policies and approval workflows', + completed: false, + resources: ['Governance Guide', 'Policy Templates', 'Approval Workflows'] + }, + { + id: '5', + title: 'Department Rollout', + description: 'Progressive rollout across business units', + completed: false, + resources: ['Rollout Plan', 'Change Management', 'Training Materials'] + } + ] + }, + { + id: 'cloud-migration', + title: 'Cloud Migration', + description: 'Migrate existing AI workloads to cloud platform', + timeline: '60-120 days', + progress: 25, + steps: [ + { + id: '1', + title: 'Workload Assessment', + description: 'Analyze existing AI models and dependencies', + completed: true, + resources: ['Assessment Template', 'Dependency Mapping', 'Cost Analysis'] + }, + { + id: '2', + title: 'Migration Strategy', + description: 'Plan migration approach and timeline', + completed: false, + resources: ['Migration Framework', 'Risk Assessment', 'Downtime Planning'] + }, + { + id: '3', + title: 'Data Migration', + description: 'Transfer training data and model artifacts', + completed: false, + resources: ['Data Transfer Tools', 'Validation Scripts', 'Backup Strategy'] + }, + { + id: '4', + title: 'Model Retraining', + description: 'Retrain models on cloud infrastructure', + completed: false, + resources: ['Training Pipeline', 'Hyperparameter Tuning', 'Performance Benchmarks'] + }, + { + id: '5', + title: 'Cutover & Validation', + description: 'Switch to cloud platform and validate performance', + completed: false, + resources: ['Cutover Checklist', 'Validation Tests', 'Rollback Procedures'] + } + ] + }, + { + id: 'data-integration', + title: 'Data Integration', + description: 'Connect enterprise data sources for AI training', + timeline: '45-90 days', + progress: 55, + steps: [ + { + id: '1', + title: 'Data Discovery', + description: 'Identify and catalog available data sources', + completed: true, + resources: ['Data Catalog', 'Source Inventory', 'Quality Assessment'] + }, + { + id: '2', + title: 'ETL Pipeline Setup', + description: 'Build data extraction and transformation pipelines', + completed: true, + resources: ['Pipeline Templates', 'Transformation Logic', 'Scheduling Guide'] + }, + { + id: '3', + title: 'Data Quality Gates', + description: 'Implement validation and quality controls', + completed: true, + resources: ['Quality Metrics', 'Validation Rules', 'Monitoring Dashboard'] + }, + { + id: '4', + title: 'Real-time Streaming', + description: 'Enable real-time data ingestion for live models', + completed: false, + resources: ['Streaming Architecture', 'Kafka Setup', 'Stream Processing'] + }, + { + id: '5', + title: 'Data Governance', + description: 'Establish data lineage and access controls', + completed: false, + resources: ['Governance Policies', 'Access Control', 'Audit Logging'] + } + ] + }, + { + id: 'security-hardening', + title: 'Security Hardening', + description: 'Implement advanced security measures', + timeline: '30-60 days', + progress: 70, + steps: [ + { + id: '1', + title: 'Access Control', + description: 'Configure RBAC and MFA requirements', + completed: true, + resources: ['RBAC Guide', 'MFA Setup', 'Identity Provider Integration'] + }, + { + id: '2', + title: 'Network Security', + description: 'Implement firewalls and network segmentation', + completed: true, + resources: ['Network Architecture', 'Firewall Rules', 'VPN Configuration'] + }, + { + id: '3', + title: 'Encryption', + description: 'Enable encryption at rest and in transit', + completed: true, + resources: ['Encryption Guide', 'Key Management', 'Certificate Setup'] + }, + { + id: '4', + title: 'Vulnerability Scanning', + description: 'Schedule regular security scans and penetration tests', + completed: false, + resources: ['Scanning Tools', 'Test Procedures', 'Remediation Workflow'] + }, + { + id: '5', + title: 'Incident Response', + description: 'Create security incident response plan', + completed: false, + resources: ['Response Playbook', 'Contact List', 'Communication Plan'] + } + ] + }, + { + id: 'team-onboarding', + title: 'Team Onboarding', + description: 'Train teams on AI platform usage', + timeline: '15-45 days', + progress: 80, + steps: [ + { + id: '1', + title: 'Training Program', + description: 'Develop role-based training curriculum', + completed: true, + resources: ['Training Modules', 'Video Tutorials', 'Hands-on Labs'] + }, + { + id: '2', + title: 'Certification', + description: 'Certify users on platform competency', + completed: true, + resources: ['Certification Exam', 'Study Guide', 'Practice Tests'] + }, + { + id: '3', + title: 'Documentation', + description: 'Create internal documentation and best practices', + completed: true, + resources: ['Documentation Templates', 'Best Practices', 'FAQ Database'] + }, + { + id: '4', + title: 'Support Structure', + description: 'Establish internal support channels', + completed: true, + resources: ['Support Portal', 'Ticketing System', 'Office Hours'] + }, + { + id: '5', + title: 'Continuous Learning', + description: 'Set up ongoing training and knowledge sharing', + completed: false, + resources: ['Learning Path', 'Community Forum', 'Monthly Workshops'] + } + ] + } + ]; + + const getIcon = (id: string) => { + const icons: Record = { + 'quick-start': , + 'enterprise-deployment': , + 'cloud-migration': , + 'data-integration': , + 'security-hardening': , + 'team-onboarding': + }; + return icons[id] || ; + }; + + const activePlaybook = playbooks.find(p => p.id === selectedPlaybook); + + return ( +
+
+
+

Implementation Playbooks

+

Step-by-step guides for successful AI platform adoption

+
+
+ + +
+
+ +
+ {/* Playbook List */} +
+ {playbooks.map((playbook) => ( +
setSelectedPlaybook(playbook.id)} + className={`card-hover transition-all duration-300 ${ + selectedPlaybook === playbook.id + ? 'ring-2 ring-purple-500 bg-white/10' + : '' + }`} + > +
+
+ {getIcon(playbook.id)} +
+
+

{playbook.title}

+

+ {playbook.description} +

+
+ + {playbook.timeline} +
+
+
+ Progress + {playbook.progress}% +
+
+
+
+
+
+
+
+ ))} +
+ + {/* Playbook Details */} + {activePlaybook && ( +
+
+
+
+
+ {getIcon(activePlaybook.id)} +
+
+

+ {activePlaybook.title} +

+

{activePlaybook.description}

+
+
+ + Timeline: {activePlaybook.timeline} +
+
+ + {activePlaybook.steps.filter(s => s.completed).length} of {activePlaybook.steps.length} completed +
+
+
+
+ +
+ + {/* Progress Bar */} +
+
+ Overall Progress + {activePlaybook.progress}% +
+
+
+
+
+ + {/* Steps */} +
+

Implementation Steps

+ {activePlaybook.steps.map((step, index) => ( +
+
+
+ {step.completed ? ( + + ) : ( + + )} +
+
+
+
+
+ + Step {index + 1} + +

+ {step.title} +

+
+

{step.description}

+
+ {!step.completed && ( + + )} +
+
+

Resources:

+
+ {step.resources.map((resource, idx) => ( + + + {resource} + + ))} +
+
+
+
+
+ ))} +
+
+
+ )} +
+
+ ); +}; diff --git a/ai-design-platform/src/components/enterprise/index.ts b/ai-design-platform/src/components/enterprise/index.ts index 078cf8d..823c521 100644 --- a/ai-design-platform/src/components/enterprise/index.ts +++ b/ai-design-platform/src/components/enterprise/index.ts @@ -2,3 +2,5 @@ export { IndustryTemplates } from './IndustryTemplates'; export { SecurityCompliance } from './SecurityCompliance'; export { ROICalculator } from './ROICalculator'; export { IntegrationMarketplace } from './IntegrationMarketplace'; +export { ImplementationPlaybooks } from './ImplementationPlaybooks'; +export { ExecutiveDashboard } from './ExecutiveDashboard'; From 4d2283949eb9434ee3490cabff14659e183d025e Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 16 Feb 2026 04:27:18 +0000 Subject: [PATCH 5/6] Add Auth Components and Main Application Shell - Created LoginForm.tsx with email/password validation, OAuth buttons, and remember me - Created RegisterForm.tsx with password strength indicator and requirements checklist - Created UserProfile.tsx with profile editing, 2FA toggle, API key management, and session management - Updated App.tsx with glass morphism sidebar navigation, top header, and dynamic content area - Added comprehensive documentation and usage examples - All components use TypeScript, lucide-react icons, and glass morphism design - Total: 1,443 lines of production-ready code Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- ai-design-platform/COMPONENTS_SUMMARY.md | 183 +++++ ai-design-platform/src/App.tsx | 376 ++++++++++- ai-design-platform/src/AuthExample.tsx | 140 ++++ .../src/components/ai/AgentBuilder.tsx | 543 +++++++++++++++ .../components/ai/CollaborationWorkspace.tsx | 476 +++++++++++++ .../src/components/ai/DeveloperPortal.tsx | 617 +++++++++++++++++ .../src/components/ai/ModelComparison.tsx | 634 ++++++++++++++++++ .../src/components/ai/ModelFineTuning.tsx | 545 +++++++++++++++ .../src/components/ai/TestingSuite.tsx | 469 +++++++++++++ ai-design-platform/src/components/ai/index.ts | 6 + .../src/components/auth/LoginForm.tsx | 196 ++++++ .../src/components/auth/README.md | 231 +++++++ .../src/components/auth/RegisterForm.tsx | 380 +++++++++++ .../src/components/auth/UserProfile.tsx | 376 +++++++++++ .../src/components/auth/index.ts | 3 + .../src/services/aiCompanionService.ts | 444 ++++++++++++ .../src/services/memory/conversationMemory.ts | 296 ++++++++ .../src/services/nlp/intentRecognition.ts | 295 ++++++++ .../services/sentiment/sentimentAnalyzer.ts | 286 ++++++++ .../src/services/speechService.ts | 351 ++++++++++ 20 files changed, 6817 insertions(+), 30 deletions(-) create mode 100644 ai-design-platform/COMPONENTS_SUMMARY.md create mode 100644 ai-design-platform/src/AuthExample.tsx create mode 100644 ai-design-platform/src/components/ai/AgentBuilder.tsx create mode 100644 ai-design-platform/src/components/ai/CollaborationWorkspace.tsx create mode 100644 ai-design-platform/src/components/ai/DeveloperPortal.tsx create mode 100644 ai-design-platform/src/components/ai/ModelComparison.tsx create mode 100644 ai-design-platform/src/components/ai/ModelFineTuning.tsx create mode 100644 ai-design-platform/src/components/ai/TestingSuite.tsx create mode 100644 ai-design-platform/src/components/auth/LoginForm.tsx create mode 100644 ai-design-platform/src/components/auth/README.md create mode 100644 ai-design-platform/src/components/auth/RegisterForm.tsx create mode 100644 ai-design-platform/src/components/auth/UserProfile.tsx create mode 100644 ai-design-platform/src/components/auth/index.ts create mode 100644 ai-design-platform/src/services/aiCompanionService.ts create mode 100644 ai-design-platform/src/services/memory/conversationMemory.ts create mode 100644 ai-design-platform/src/services/nlp/intentRecognition.ts create mode 100644 ai-design-platform/src/services/sentiment/sentimentAnalyzer.ts create mode 100644 ai-design-platform/src/services/speechService.ts diff --git a/ai-design-platform/COMPONENTS_SUMMARY.md b/ai-design-platform/COMPONENTS_SUMMARY.md new file mode 100644 index 0000000..3d06538 --- /dev/null +++ b/ai-design-platform/COMPONENTS_SUMMARY.md @@ -0,0 +1,183 @@ +# AI Design Platform - Auth Components & Main App Summary + +## ✅ Components Created + +### Authentication Components + +1. **LoginForm.tsx** (196 lines) + - ✅ Email/password inputs with real-time validation + - ✅ Password visibility toggle + - ✅ OAuth buttons (Google, GitHub, Microsoft) + - ✅ Remember me checkbox + - ✅ Forgot password link + - ✅ Form submission handling with loading states + - ✅ Glass morphism design + +2. **RegisterForm.tsx** (380 lines) + - ✅ Name, email, password, confirm password fields + - ✅ Real-time password strength indicator (6-level scale) + - ✅ Password requirements checklist with visual feedback + - ✅ Terms acceptance checkbox with links + - ✅ OAuth sign-up options + - ✅ Comprehensive form validation + - ✅ Glass morphism design + +3. **UserProfile.tsx** (376 lines) + - ✅ Profile info display/edit with save/cancel + - ✅ Role badge with color coding (Admin/Developer/User) + - ✅ Two-factor authentication toggle switch + - ✅ API key management section: + - Create new API keys with name + - Show/hide API key values + - Copy to clipboard functionality + - Delete API keys + - Display creation date and last used + - ✅ Active sessions list: + - Device and location information + - Last active timestamp + - Current session indicator + - Revoke session functionality + - ✅ Glass morphism design + +### Main Application + +4. **App.tsx** (351 lines) + - ✅ Glass morphism sidebar navigation + - ✅ Collapsible sidebar (full ↔ icon-only) + - ✅ Navigation items with lucide-react icons: + - Dashboard + - Models + - Analytics + - Monitoring + - Data + - Users + - Security + - Settings + - ✅ Top header with: + - Global search bar + - Theme toggle (dark/light mode) + - Notifications with badge count + - User profile dropdown menu + - ✅ Main content area with dynamic routing + - ✅ Dashboard page with: + - 4 metric cards + - Recent activity feed + - System status indicators + - ✅ AI Companion floating button (bottom-right) + - ✅ State management for all UI interactions + +## Additional Files + +- **index.ts** - Barrel export for auth components +- **AuthExample.tsx** (140 lines) - Complete usage examples +- **README.md** - Comprehensive documentation + +## Design Features + +### Glass Morphism +- ✅ Backdrop blur effects +- ✅ Semi-transparent backgrounds (white/10) +- ✅ Border with opacity (white/20) +- ✅ Consistent shadow system + +### Icons +- ✅ All components use lucide-react icons +- ✅ Consistent icon sizing (w-4/w-5/w-6 h-4/h-5/h-6) +- ✅ Icons for all navigation items and actions + +### Color Scheme +- ✅ Blue-Purple gradient for primary actions +- ✅ Semantic colors (green for success, red for errors) +- ✅ Gray scale for text hierarchy +- ✅ Background gradient: gray-900 → blue-900 → purple-900 + +### Interactive Elements +- ✅ Hover states on all interactive elements +- ✅ Focus states with ring-2 ring-blue-500 +- ✅ Smooth transitions (transition-all) +- ✅ Loading states for async actions +- ✅ Disabled states for buttons + +### Responsive Design +- ✅ Mobile-first approach +- ✅ Grid layouts (grid-cols-1 md:grid-cols-2 lg:grid-cols-4) +- ✅ Responsive text sizing +- ✅ Hidden elements on mobile (hidden md:block) + +## TypeScript Features + +- ✅ Full TypeScript support +- ✅ Interface definitions for all props +- ✅ Type-safe event handlers +- ✅ Optional props with default values +- ✅ No TypeScript errors in auth components + +## Validation + +### LoginForm +- ✅ Email format validation +- ✅ Password length validation (min 6 chars) +- ✅ Required field validation + +### RegisterForm +- ✅ Name length validation (min 2 chars) +- ✅ Email format validation +- ✅ Password strength validation (min 8 chars) +- ✅ Password confirmation matching +- ✅ Terms acceptance validation +- ✅ Visual password strength indicator + +## State Management + +- ✅ Local state with useState +- ✅ Form state management +- ✅ Error state management +- ✅ UI state (modals, dropdowns, visibility) +- ✅ Loading states + +## File Structure + +``` +ai-design-platform/src/ +├── components/ +│ └── auth/ +│ ├── LoginForm.tsx ✅ 196 lines +│ ├── RegisterForm.tsx ✅ 380 lines +│ ├── UserProfile.tsx ✅ 376 lines +│ ├── index.ts ✅ 3 lines +│ └── README.md ✅ Documentation +├── App.tsx ✅ 351 lines +└── AuthExample.tsx ✅ 140 lines (examples) + +Total: 1,443 lines of code +``` + +## Build Status + +✅ All auth components build without errors +✅ TypeScript compilation successful for new components +✅ No warnings related to auth components +✅ App.tsx builds successfully + +## Usage + +All components are ready to use. See `AuthExample.tsx` for implementation examples. + +Import components: +```tsx +import { LoginForm, RegisterForm, UserProfile } from './components/auth'; +import { App } from './App'; +``` + +## Next Steps + +The following sections are placeholders in App.tsx and ready for implementation: +- Model Management +- Analytics Dashboard +- Monitoring Interface +- Data Management +- User Management +- Security Settings +- Settings + +All components follow the same glass morphism design pattern and can integrate seamlessly. diff --git a/ai-design-platform/src/App.tsx b/ai-design-platform/src/App.tsx index 3d7ded3..4c3cf59 100644 --- a/ai-design-platform/src/App.tsx +++ b/ai-design-platform/src/App.tsx @@ -1,35 +1,351 @@ -import { useState } from 'react' -import reactLogo from './assets/react.svg' -import viteLogo from '/vite.svg' -import './App.css' +import React, { useState } from 'react'; +import { + LayoutDashboard, + Brain, + BarChart3, + Activity, + Settings, + Users, + Shield, + Database, + Bell, + Search, + Menu, + X, + ChevronDown, + LogOut, + User, + Moon, + Sun, + MessageSquare, +} from 'lucide-react'; -function App() { - const [count, setCount] = useState(0) +type Section = + | 'dashboard' + | 'models' + | 'analytics' + | 'monitoring' + | 'settings' + | 'users' + | 'security' + | 'data'; + +interface NavItem { + id: Section; + label: string; + icon: React.ReactNode; +} + +export const App: React.FC = () => { + const [activeSection, setActiveSection] = useState
('dashboard'); + const [sidebarOpen, setSidebarOpen] = useState(true); + const [userMenuOpen, setUserMenuOpen] = useState(false); + const [darkMode, setDarkMode] = useState(true); + const [notifications] = useState(3); + + const navItems: NavItem[] = [ + { id: 'dashboard', label: 'Dashboard', icon: }, + { id: 'models', label: 'Models', icon: }, + { id: 'analytics', label: 'Analytics', icon: }, + { id: 'monitoring', label: 'Monitoring', icon: }, + { id: 'data', label: 'Data', icon: }, + { id: 'users', label: 'Users', icon: }, + { id: 'security', label: 'Security', icon: }, + { id: 'settings', label: 'Settings', icon: }, + ]; + + const renderContent = () => { + switch (activeSection) { + case 'dashboard': + return ( +
+

Dashboard

+
+ {/* Metric Cards */} + {[ + { label: 'Total Models', value: '24', change: '+12%', positive: true }, + { label: 'Active Users', value: '1,234', change: '+8%', positive: true }, + { label: 'API Calls', value: '45.2K', change: '+23%', positive: true }, + { label: 'Avg Response', value: '145ms', change: '-5%', positive: true }, + ].map((metric, idx) => ( +
+

{metric.label}

+
+

{metric.value}

+ + {metric.change} + +
+
+ ))} +
+ +
+
+

Recent Activity

+
+ {[ + { action: 'Model deployed', model: 'GPT-4 Turbo', time: '2 min ago' }, + { action: 'User registered', model: 'john@example.com', time: '15 min ago' }, + { action: 'API key created', model: 'Production Key', time: '1 hour ago' }, + ].map((activity, idx) => ( +
+
+

{activity.action}

+

{activity.model}

+
+ {activity.time} +
+ ))} +
+
+ +
+

System Status

+
+ {[ + { service: 'API Gateway', status: 'Operational', uptime: '99.9%' }, + { service: 'Model Inference', status: 'Operational', uptime: '99.8%' }, + { service: 'Database', status: 'Operational', uptime: '100%' }, + ].map((service, idx) => ( +
+
+
+ {service.service} +
+
+ {service.uptime} + {service.status} +
+
+ ))} +
+
+
+
+ ); + + case 'models': + return ( +
+

Model Management

+
+

Model management interface coming soon...

+
+
+ ); + + case 'analytics': + return ( +
+

Analytics

+
+

Analytics dashboard coming soon...

+
+
+ ); + + case 'monitoring': + return ( +
+

Monitoring

+
+

Monitoring interface coming soon...

+
+
+ ); + + case 'data': + return ( +
+

Data Management

+
+

Data management interface coming soon...

+
+
+ ); + + case 'users': + return ( +
+

User Management

+
+

User management interface coming soon...

+
+
+ ); + + case 'security': + return ( +
+

Security

+
+

Security settings coming soon...

+
+
+ ); + + case 'settings': + return ( +
+

Settings

+
+

Settings interface coming soon...

+
+
+ ); + + default: + return null; + } + }; return ( - <> - -

Vite + React

-
- -

- Edit src/App.tsx and save to test HMR -

+
+ {/* Sidebar */} + + + {/* Main Content */} +
+ {/* Top Header */} +
+
+ {/* Search Bar */} +
+
+ + +
+
+ + {/* Right Actions */} +
+ {/* Theme Toggle */} + + + {/* Notifications */} + + + {/* User Menu */} +
+ + + {userMenuOpen && ( +
+
+ + +
+ +
+
+ )} +
+
+
+
+ + {/* Main Content Area */} +
+ {renderContent()} +
-

- Click on the Vite and React logos to learn more -

- - ) -} -export default App + {/* AI Companion - Fixed Bottom Right */} + +
+ ); +}; + +export default App; diff --git a/ai-design-platform/src/AuthExample.tsx b/ai-design-platform/src/AuthExample.tsx new file mode 100644 index 0000000..be7016d --- /dev/null +++ b/ai-design-platform/src/AuthExample.tsx @@ -0,0 +1,140 @@ +import React from 'react'; +import { LoginForm, RegisterForm, UserProfile } from './components/auth'; + +// Example usage of Auth Components + +export const AuthExample: React.FC = () => { + // Login Form Example + const handleLogin = (email: string, password: string, rememberMe: boolean) => { + console.log('Login:', { email, password, rememberMe }); + // Implement your login logic here + }; + + const handleOAuthLogin = (provider: 'google' | 'github' | 'microsoft') => { + console.log('OAuth login with:', provider); + // Implement OAuth login logic here + }; + + const handleForgotPassword = () => { + console.log('Forgot password clicked'); + // Navigate to forgot password page + }; + + // Register Form Example + const handleRegister = (name: string, email: string, password: string, acceptTerms: boolean) => { + console.log('Register:', { name, email, password, acceptTerms }); + // Implement registration logic here + }; + + const handleOAuthRegister = (provider: 'google' | 'github' | 'microsoft') => { + console.log('OAuth register with:', provider); + // Implement OAuth registration logic here + }; + + // User Profile Example + const userData = { + name: 'John Doe', + email: 'john.doe@example.com', + role: 'Admin', + twoFactorEnabled: false, + }; + + const apiKeys = [ + { + id: '1', + name: 'Production API', + key: 'sk_prod_abc123xyz789def456ghi789', + createdAt: '2024-01-15', + lastUsed: '2024-01-20', + }, + { + id: '2', + name: 'Development API', + key: 'sk_dev_xyz789abc123def456ghi789', + createdAt: '2024-01-10', + lastUsed: '2024-01-19', + }, + ]; + + const sessions = [ + { + id: '1', + device: 'Chrome on MacOS', + location: 'San Francisco, CA', + lastActive: '2 minutes ago', + current: true, + }, + { + id: '2', + device: 'Firefox on Windows', + location: 'New York, NY', + lastActive: '1 day ago', + current: false, + }, + ]; + + const handleUpdateProfile = (data: Partial) => { + console.log('Update profile:', data); + // Implement profile update logic here + }; + + const handleToggle2FA = (enabled: boolean) => { + console.log('Toggle 2FA:', enabled); + // Implement 2FA toggle logic here + }; + + const handleCreateApiKey = (name: string) => { + console.log('Create API key:', name); + // Implement API key creation logic here + }; + + const handleDeleteApiKey = (id: string) => { + console.log('Delete API key:', id); + // Implement API key deletion logic here + }; + + const handleRevokeSession = (id: string) => { + console.log('Revoke session:', id); + // Implement session revocation logic here + }; + + return ( +
+
+ {/* Login Form */} +
+

Login Form

+ +
+ + {/* Register Form */} +
+

Register Form

+ +
+ + {/* User Profile */} +
+

User Profile

+ +
+
+
+ ); +}; diff --git a/ai-design-platform/src/components/ai/AgentBuilder.tsx b/ai-design-platform/src/components/ai/AgentBuilder.tsx new file mode 100644 index 0000000..3ed2505 --- /dev/null +++ b/ai-design-platform/src/components/ai/AgentBuilder.tsx @@ -0,0 +1,543 @@ +import React, { useState } from 'react'; +import { + MessageSquare, + Target, + Sparkles, + Play, + Settings, + Download, + GitBranch, + BarChart3, + Layout, + Layers, + Zap, + Upload, + Save, + Code, + Cloud +} from 'lucide-react'; +import { + XAxis, + YAxis, + CartesianGrid, + Tooltip, + ResponsiveContainer, + AreaChart, + Area +} from 'recharts'; + +interface AgentTemplate { + id: string; + name: string; + description: string; + icon: React.ReactNode; + category: string; + complexity: 'basic' | 'intermediate' | 'advanced'; +} + +interface WorkflowNode { + id: string; + type: 'input' | 'process' | 'decision' | 'output'; + label: string; + x: number; + y: number; +} + +interface AgentVersion { + version: string; + date: Date; + accuracy: number; + status: 'active' | 'archived'; +} + +interface AnalyticsData { + date: string; + requests: number; + accuracy: number; + avgLatency: number; +} + +export const AgentBuilder: React.FC = () => { + const [selectedTemplate, setSelectedTemplate] = useState('chatbot'); + const [agentName, setAgentName] = useState('My AI Agent'); + const [isTraining, setIsTraining] = useState(false); + const [deploymentTarget, setDeploymentTarget] = useState('cloud'); + + const templates: AgentTemplate[] = [ + { + id: 'chatbot', + name: 'Conversational Chatbot', + description: 'Customer service and support chatbot with natural language understanding', + icon: , + category: 'Communication', + complexity: 'basic' + }, + { + id: 'classifier', + name: 'Content Classifier', + description: 'Classify and categorize content, documents, or messages', + icon: , + category: 'Analysis', + complexity: 'intermediate' + }, + { + id: 'recommender', + name: 'Recommendation Engine', + description: 'Personalized recommendations based on user behavior and preferences', + icon: , + category: 'Personalization', + complexity: 'advanced' + }, + { + id: 'sentiment', + name: 'Sentiment Analyzer', + description: 'Analyze sentiment and emotions in text data', + icon: , + category: 'Analysis', + complexity: 'basic' + }, + { + id: 'summarizer', + name: 'Document Summarizer', + description: 'Generate concise summaries of long documents', + icon: , + category: 'Processing', + complexity: 'intermediate' + }, + { + id: 'translator', + name: 'Language Translator', + description: 'Multi-language translation with context awareness', + icon: , + category: 'Communication', + complexity: 'advanced' + } + ]; + + const workflowNodes: WorkflowNode[] = [ + { id: '1', type: 'input', label: 'User Input', x: 50, y: 150 }, + { id: '2', type: 'process', label: 'Preprocessing', x: 200, y: 150 }, + { id: '3', type: 'process', label: 'AI Model', x: 350, y: 150 }, + { id: '4', type: 'decision', label: 'Confidence Check', x: 500, y: 150 }, + { id: '5', type: 'output', label: 'Response', x: 650, y: 100 }, + { id: '6', type: 'process', label: 'Human Review', x: 650, y: 200 } + ]; + + const versions: AgentVersion[] = [ + { version: 'v2.1.0', date: new Date('2024-01-22'), accuracy: 0.94, status: 'active' }, + { version: 'v2.0.5', date: new Date('2024-01-15'), accuracy: 0.91, status: 'archived' }, + { version: 'v2.0.0', date: new Date('2024-01-08'), accuracy: 0.88, status: 'archived' } + ]; + + const analyticsData: AnalyticsData[] = [ + { date: 'Jan 15', requests: 1200, accuracy: 0.89, avgLatency: 145 }, + { date: 'Jan 16', requests: 1450, accuracy: 0.90, avgLatency: 142 }, + { date: 'Jan 17', requests: 1350, accuracy: 0.91, avgLatency: 138 }, + { date: 'Jan 18', requests: 1580, accuracy: 0.92, avgLatency: 135 }, + { date: 'Jan 19', requests: 1720, accuracy: 0.93, avgLatency: 132 }, + { date: 'Jan 20', requests: 1650, accuracy: 0.93, avgLatency: 130 }, + { date: 'Jan 21', requests: 1890, accuracy: 0.94, avgLatency: 128 }, + { date: 'Jan 22', requests: 2100, accuracy: 0.94, avgLatency: 125 } + ]; + + const [configuration, setConfiguration] = useState({ + maxTokens: 2048, + temperature: 0.7, + topP: 0.9, + frequencyPenalty: 0.0, + presencePenalty: 0.0, + systemPrompt: 'You are a helpful AI assistant.' + }); + + const handleTrain = () => { + setIsTraining(true); + setTimeout(() => setIsTraining(false), 3000); + }; + + const getNodeColor = (type: WorkflowNode['type']) => { + switch (type) { + case 'input': return 'bg-blue-500'; + case 'process': return 'bg-purple-500'; + case 'decision': return 'bg-yellow-500'; + case 'output': return 'bg-green-500'; + } + }; + + return ( +
+
+
+

Agent Builder

+

Design and deploy custom AI agents with visual workflow editor

+
+
+ + +
+
+ +
+ {/* Main Canvas */} +
+ {/* Templates */} +
+
+ +

Pre-built Templates

+
+ +
+ {templates.map((template) => ( +
setSelectedTemplate(template.id)} + className={`p-4 rounded-lg cursor-pointer transition-all ${ + selectedTemplate === template.id + ? 'bg-purple-500/20 border-2 border-purple-500' + : 'glass hover:bg-white/10 border-2 border-transparent' + }`} + > +
+
+ {template.icon} +
+
+
{template.name}
+
{template.description}
+
+ + {template.category} + + + {template.complexity} + +
+
+
+
+ ))} +
+
+ + {/* Visual Workflow Canvas */} +
+
+
+ +

Workflow Canvas

+
+
Drag to rearrange nodes
+
+ +
+ {/* Grid Pattern */} +
+ + {/* Workflow Nodes */} + {workflowNodes.map((node) => ( +
+
+
{node.label}
+
{node.type}
+
+ ))} + + {/* Connection Lines (SVG) */} + + + + + + + +
+ +
+
+
+ Input +
+
+
+ Process +
+
+
+ Decision +
+
+
+ Output +
+
+
+ + {/* Training Interface */} +
+
+ +

Training

+
+ +
+
+
+
+
Training Dataset
+
10,000 examples · 5.2 MB
+
+ +
+ +
+
+
Training
+
7,000
+
+
+
Validation
+
2,000
+
+
+
Testing
+
1,000
+
+
+
+ +
+ + +
+ + {isTraining && ( +
+
+ Progress + 45% +
+
+
+
+
+ )} +
+
+ + {/* Analytics Preview */} +
+
+ +

Analytics Preview

+
+ +
+
+
Total Requests
+
12.4K
+
+24% this week
+
+
+
Accuracy
+
94.2%
+
+2.1% improvement
+
+
+
Avg Latency
+
125ms
+
-18ms faster
+
+
+ + + + + + + + + + +
+
+ + {/* Right Sidebar - Configuration */} +
+ {/* Agent Configuration */} +
+
+ +

Configuration

+
+ +
+
+ + setAgentName(e.target.value)} + className="w-full bg-white/5 border border-white/10 rounded-lg px-3 py-2 text-white" + /> +
+ +
+ + setConfiguration({ ...configuration, maxTokens: parseInt(e.target.value) })} + className="w-full bg-white/5 border border-white/10 rounded-lg px-3 py-2 text-white" + /> +
+ +
+ + setConfiguration({ ...configuration, temperature: parseFloat(e.target.value) })} + className="w-full" + /> +
+ +
+ + setConfiguration({ ...configuration, topP: parseFloat(e.target.value) })} + className="w-full" + /> +
+ +
+ +