diff --git a/apps/CortensorView/.gitignore b/apps/CortensorView/.gitignore new file mode 100644 index 0000000..005691b --- /dev/null +++ b/apps/CortensorView/.gitignore @@ -0,0 +1,50 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +# Dependencies +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? + +# Environment variables +.env +.env.local +.env.development.local +.env.test.local +.env.production.local + +# Build outputs +build +.cache + +# Testing +coverage +.nyc_output + +# Misc +.eslintcache +.stylelintcache +*.tsbuildinfo + +#md +DEPLOY.md +HACKATHON_SUBMISSION.md +BUIDL.md \ No newline at end of file diff --git a/apps/CortensorView/CONTRIBUTING.md b/apps/CortensorView/CONTRIBUTING.md new file mode 100644 index 0000000..59b034d --- /dev/null +++ b/apps/CortensorView/CONTRIBUTING.md @@ -0,0 +1,69 @@ +# Contributing to CortensorView + +Thank you for your interest in contributing to CortensorView! This document provides guidelines for contributing to the project. + +## Getting Started + +1. Fork the repository +2. Clone your fork locally +3. Create a new branch for your feature or bugfix +4. Make your changes +5. Test thoroughly +6. Submit a pull request + +## Development Setup + +```bash +# Install dependencies +npm install + +# Start development server +npm run dev + +# Build for production +npm run build + +# Preview production build +npm run preview +``` + +## Code Style + +- Use TypeScript for all new code +- Follow existing code formatting +- Use meaningful variable and function names +- Add comments for complex logic +- Keep components modular and reusable + +## Pull Request Process + +1. Update the README.md with details of changes if needed +2. Ensure all tests pass and the build succeeds +3. Update documentation for any new features +4. Request review from maintainers + +## Reporting Issues + +When reporting issues, please include: +- Clear description of the problem +- Steps to reproduce +- Expected vs actual behavior +- Screenshots if applicable +- Browser and OS information + +## Feature Requests + +We welcome feature requests! Please: +- Check if the feature already exists +- Describe the use case clearly +- Explain how it benefits users +- Consider implementation complexity + +## Code of Conduct + +- Be respectful and inclusive +- Welcome newcomers +- Focus on constructive feedback +- Help maintain a positive community + +Thank you for contributing to CortensorView! diff --git a/apps/CortensorView/LICENSE b/apps/CortensorView/LICENSE new file mode 100644 index 0000000..941bc46 --- /dev/null +++ b/apps/CortensorView/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 CortensorView + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/apps/CortensorView/README.md b/apps/CortensorView/README.md new file mode 100644 index 0000000..67204af --- /dev/null +++ b/apps/CortensorView/README.md @@ -0,0 +1,361 @@ +# CortensorView + +A comprehensive, real-time monitoring and analytics dashboard for the Cortensor decentralized inference network. Built for Hackathon #2 to provide network operators, developers, and community members with powerful observability tools. + +![cortensoroverview](public/cortensor.png) +## Overview + +CortensorView is a production-ready web application that connects directly to the Cortensor network API to provide real-time insights into network performance, node operations, inference sessions, and task analytics. This tool addresses the critical need for infrastructure observability in decentralized AI networks. + +## Problem Statement + +As the Cortensor network grows, operators and developers need: +- Real-time visibility into network health and performance +- Tools to monitor node operations and rankings +- Session tracking and debugging capabilities +- Task analytics and success rate monitoring +- Easy access to API endpoints for development + +Without proper observability tools, it becomes difficult to optimize node performance, debug issues, or understand network behavior. + +## Solution + +This dashboard provides a unified interface for monitoring all aspects of the Cortensor network: + +### Network Overview +- Real-time metrics for active nodes, total requests, latency, and success rates +- 24-hour activity trends with interactive charts +- Request distribution analysis +- Network health indicators + +### Node Pool Management +- Complete node leaderboard with rankings +- Performance metrics and stake information +- Interactive heatmap visualization for node performance +- Filterable views for all nodes vs. node pool +- Top 10 nodes by stake analysis + +### Network Statistics +- Detailed performance metrics and health indicators +- Request success vs. failure analysis +- Multi-metric performance tracking +- Throughput analysis over time +- Response time breakdown + +### Session Tracking +- Search and retrieve specific cognitive sessions +- Session status overview with visual analytics +- Latency comparison across sessions +- Performance trend analysis +- Recent session history + +### Task Analytics +- Real-time task monitoring +- Status distribution (completed, running, failed) +- Success rate tracking +- Performance comparison across tasks +- 24-hour execution timeline + +### Developer Tools +- Interactive API Explorer +- Live endpoint testing +- Request/response inspection +- Configuration management +- Direct access to all Cortensor API endpoints + +## Key Features + +### Real-Time Data Integration +- Direct connection to Cortensor network API (db-be-7.cortensor.network) +- Live data updates from production endpoints +- Automatic error handling and fallback mechanisms + +### Advanced Visualizations +- Line charts for trend analysis +- Bar charts for comparative metrics +- Pie charts for distribution analysis +- Area charts for multi-metric tracking +- Radar charts for performance profiling +- Interactive network topology visualization +- Performance heatmaps with color-coded rankings + +### Modern User Interface +- Responsive design for desktop and mobile +- Collapsible sidebar with icon-only mode +- Smooth animations and transitions +- Dark hero sections with curved backgrounds +- Elevated metric cards with shadow effects +- Professional color scheme and typography + +### Developer-Friendly +- Built with React and TypeScript +- Modular component architecture +- Recharts for data visualization +- Tailwind CSS for styling +- Easy to extend and customize + +## Technical Architecture + +### Frontend Stack +- React 18 with TypeScript +- Vite for fast development and building +- Tailwind CSS for styling +- Recharts for data visualization +- Lucide React for icons + +### API Integration +- RESTful API client with error handling +- Type-safe data models +- Automatic retry logic +- Response caching for performance + +### Data Flow +1. Components request data through centralized API service +2. API service fetches from Cortensor network endpoints +3. Data is parsed and validated using TypeScript types +4. Components render visualizations with real-time data +5. Error states handled gracefully with user feedback + +## Installation and Setup + +### Prerequisites +- Node.js 18 or higher +- npm or yarn package manager + +### Quick Start + +1. Clone the repository: +```bash +git clone https://github.com/abbasmir12/CortensorView.git +cd CortensorView +``` + +2. Install dependencies: +```bash +npm install +``` + +3. Start the development server: +```bash +npm run dev +``` + +4. Open your browser to: +``` +http://localhost:5173 +``` + +### Build for Production + +```bash +npm run build +``` + +The production-ready files will be in the `dist` directory. + +### Deploy + +Deploy to any static hosting service: + +Vercel: +```bash +npm install -g vercel +vercel +``` + +Netlify: +```bash +npm install -g netlify-cli +netlify deploy --prod +``` + +## Usage Guide + +### Navigating the Dashboard + +The sidebar provides access to six main sections: + +1. Overview - Network-wide metrics and activity trends +2. Network - Detailed statistics and performance analysis +3. Nodes - Node pool rankings and performance heatmaps +4. Sessions - Cognitive session tracking and search +5. Tasks - Task analytics and execution monitoring +6. Config - API explorer and configuration tools + +### Monitoring Network Health + +The Overview tab displays key metrics: +- Active Nodes: Current number of operational nodes +- Total Requests: Cumulative inference requests +- Avg Latency: Average response time in milliseconds +- Success Rate: Percentage of successful requests + +Charts show 24-hour trends for activity and latency. + +### Tracking Node Performance + +The Nodes tab provides: +- Complete leaderboard with rank, node ID, status, stake, and emissions +- Performance bars showing relative node efficiency +- Top 10 nodes by stake visualization +- Performance heatmap showing all node rankings +- Toggle between "All Nodes" and "Node Pool" views + +### Searching Sessions + +Use the Sessions tab to: +1. Enter a session number in the search box +2. Click Search or press Enter +3. View detailed session information including status, timestamp, and metrics +4. Browse recent sessions in the table below + +### Analyzing Tasks + +The Tasks tab shows: +- Total tasks, completed, running, and success rate metrics +- Status distribution pie chart +- Performance comparison bar chart +- 24-hour execution timeline +- Detailed task table with status badges + +### Using the API Explorer + +The Config tab provides: +1. Select an endpoint from the dropdown +2. Click "Send Request" to test the endpoint +3. View the JSON response in the formatted display +4. Use for development and debugging + +## API Endpoints Used + +The dashboard integrates with these Cortensor API endpoints: + +- /network-stats - Network-wide statistics +- /leaderboard - Node rankings and performance +- /leaderboard-by-address - Node pool specific data +- /cognitive/{session_number} - Individual session data +- /network-stats-tasks - Task analytics +- /heatmap-ranks - Performance heatmap data + +## Project Structure + +``` +CortensorView/ +├── src/ +│ ├── components/ # Reusable UI components +│ │ ├── charts/ # Chart components (Line, Bar, Pie, etc.) +│ │ ├── DataTable.tsx # Data table component +│ │ ├── MetricCard.tsx # Metric display cards +│ │ ├── NetworkTopology.tsx +│ │ ├── AdvancedHeatmap.tsx +│ │ └── Sidebar.tsx # Navigation sidebar +│ ├── views/ # Main page components +│ │ ├── OverviewTab.tsx +│ │ ├── NetworkTab.tsx +│ │ ├── NodesTab.tsx +│ │ ├── SessionsTab.tsx +│ │ ├── TasksTab.tsx +│ │ └── ConfigTab.tsx +│ ├── services/ # API integration +│ │ └── cortensorApi.ts +│ ├── types/ # TypeScript type definitions +│ │ └── cortensor.ts +│ ├── utils/ # Utility functions +│ │ └── dataParser.ts +│ ├── App.tsx # Main application component +│ └── main.tsx # Application entry point +├── public/ # Static assets +├── index.html # HTML template +├── package.json # Dependencies and scripts +├── tsconfig.json # TypeScript configuration +├── vite.config.ts # Vite configuration +└── tailwind.config.js # Tailwind CSS configuration +``` + +## Hackathon Category Alignment + +This project addresses multiple categories from Cortensor Hackathon #2: + +### Infra Observability Tools (Primary) +Provides comprehensive monitoring and visualization for: +- Inference traffic and session load +- Node reputation and performance tracking +- Analytics for model usage and inference demand +- Real-time network health indicators + +### Developer Tooling & SDKs +Includes developer-focused features: +- Interactive API Explorer for testing endpoints +- Type-safe TypeScript integration examples +- Reusable component library +- Clear code structure for extension + +### Public Goods / Free Inferencing +Serves the community by: +- Providing free access to network monitoring +- Open-source codebase for community contributions +- No authentication required for basic features +- Educational resource for understanding the network + +## Future Enhancements + +Potential improvements for continued development: + +### Advanced Analytics +- Historical data tracking and comparison +- Predictive analytics for network load +- Anomaly detection and alerting +- Custom metric dashboards + +### Node Operator Features +- Personal node performance tracking +- Earnings calculator and projections +- Optimization recommendations +- Alert notifications for issues + +### Developer Tools +- SDK code generator +- WebSocket support for real-time updates +- GraphQL query builder +- API rate limit monitoring + +### Community Features +- Public leaderboards and competitions +- Social sharing of metrics +- Community-submitted dashboards +- Integration with Discord/Telegram bots + +## Contributing + +Contributions are welcome! This project is open source and maintained by the community. + +### Development Workflow + +1. Fork the repository +2. Create a feature branch +3. Make your changes +4. Test thoroughly +5. Submit a pull request + +### Code Style + +- Use TypeScript for type safety +- Follow React best practices +- Use Tailwind CSS for styling +- Keep components modular and reusable +- Add comments for complex logic + +## License + +MIT License - See LICENSE file for details + +## Acknowledgments + +Built for Cortensor Hackathon #2 to advance infrastructure observability and developer tooling in decentralized AI networks. + +Special thanks to: +- Cortensor team for the robust API infrastructure +- Community members for feedback and testing +- Open source libraries that made this possible + +Built with dedication for the Cortensor community. Empowering transparency and observability in decentralized AI infrastructure. diff --git a/apps/CortensorView/eslint.config.js b/apps/CortensorView/eslint.config.js new file mode 100644 index 0000000..82c2e20 --- /dev/null +++ b/apps/CortensorView/eslint.config.js @@ -0,0 +1,28 @@ +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'; + +export default tseslint.config( + { ignores: ['dist'] }, + { + extends: [js.configs.recommended, ...tseslint.configs.recommended], + files: ['**/*.{ts,tsx}'], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + plugins: { + 'react-hooks': reactHooks, + 'react-refresh': reactRefresh, + }, + rules: { + ...reactHooks.configs.recommended.rules, + 'react-refresh/only-export-components': [ + 'warn', + { allowConstantExport: true }, + ], + }, + } +); diff --git a/apps/CortensorView/index.html b/apps/CortensorView/index.html new file mode 100644 index 0000000..3a77cc1 --- /dev/null +++ b/apps/CortensorView/index.html @@ -0,0 +1,15 @@ + + + + + + + + + CortensorView - Network Monitoring Dashboard + + +
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+ "@eslint/js": "^9.9.1", + "@types/react": "^18.3.5", + "@types/react-dom": "^18.3.0", + "@vitejs/plugin-react": "^4.3.1", + "autoprefixer": "^10.4.18", + "eslint": "^9.9.1", + "eslint-plugin-react-hooks": "^5.1.0-rc.0", + "eslint-plugin-react-refresh": "^0.4.11", + "globals": "^15.9.0", + "postcss": "^8.4.35", + "tailwindcss": "^3.4.1", + "typescript": "^5.5.3", + "typescript-eslint": "^8.3.0", + "vite": "^5.4.2" + } +} diff --git a/apps/CortensorView/postcss.config.js b/apps/CortensorView/postcss.config.js new file mode 100644 index 0000000..2aa7205 --- /dev/null +++ b/apps/CortensorView/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/apps/CortensorView/public/cortensor.png b/apps/CortensorView/public/cortensor.png new file mode 100644 index 0000000..959c6ef Binary files /dev/null and b/apps/CortensorView/public/cortensor.png differ diff --git a/apps/CortensorView/src/App.tsx b/apps/CortensorView/src/App.tsx new file mode 100644 index 0000000..68ae43a --- /dev/null +++ b/apps/CortensorView/src/App.tsx @@ -0,0 +1,50 @@ +import { useState } from 'react'; +import Sidebar from './components/Sidebar'; +import OverviewTab from './views/OverviewTab'; +import NetworkTab from './views/NetworkTab'; +import NodesTab from './views/NodesTab'; +import SessionsTab from './views/SessionsTab'; +import TasksTab from './views/TasksTab'; +import ConfigTab from './views/ConfigTab'; + +function App() { + const [activeTab, setActiveTab] = useState('overview'); + const [sidebarOpen, setSidebarOpen] = useState(true); + + const renderContent = () => { + switch (activeTab) { + case 'overview': + return ; + case 'network': + return ; + case 'nodes': + return ; + case 'sessions': + return ; + case 'tasks': + return ; + case 'config': + return ; + default: + return ; + } + }; + + return ( +
+ setSidebarOpen(!sidebarOpen)} + /> +
+
+ {renderContent()} +
+
+
+ ); +} + +export default App; diff --git a/apps/CortensorView/src/components/AdvancedHeatmap.tsx b/apps/CortensorView/src/components/AdvancedHeatmap.tsx new file mode 100644 index 0000000..59a6b96 --- /dev/null +++ b/apps/CortensorView/src/components/AdvancedHeatmap.tsx @@ -0,0 +1,89 @@ +import { useState } from 'react'; +import type { HeatmapRank } from '../types/cortensor'; + +interface AdvancedHeatmapProps { + data: HeatmapRank[]; + rows?: number; + cols?: number; +} + +export default function AdvancedHeatmap({ data, rows = 10, cols = 10 }: AdvancedHeatmapProps) { + const [hoveredCell, setHoveredCell] = useState(null); + + const maxValue = Math.max(...data.map(d => Number(d.value || 0))); + const minValue = Math.min(...data.map(d => Number(d.value || 0))); + + const getColor = (value: number) => { + const normalized = (value - minValue) / (maxValue - minValue || 1); + + if (normalized > 0.8) return '#10b981'; // Green + if (normalized > 0.6) return '#34d399'; + if (normalized > 0.4) return '#fbbf24'; // Yellow + if (normalized > 0.2) return '#fb923c'; // Orange + return '#ef4444'; // Red + }; + + const gridData = Array.from({ length: rows * cols }, (_, idx) => { + const item = data[idx] || { value: Math.random() * 100, rank: idx + 1 }; + return { + index: idx, + value: Number(item.value || 0), + rank: item.rank || idx + 1, + node_id: item.node_id || `node-${idx}`, + }; + }); + + return ( +
+
+
+
+
+ Low +
+
+
+ Medium +
+
+
+ High +
+
+
+ Range: {minValue.toFixed(1)} - {maxValue.toFixed(1)} +
+
+ +
+ {gridData.map((cell) => ( +
setHoveredCell(cell.index)} + onMouseLeave={() => setHoveredCell(null)} + > + {hoveredCell === cell.index && ( +
+
Rank #{cell.rank}
+
Value: {cell.value.toFixed(2)}
+
{cell.node_id.slice(0, 12)}...
+
+
+
+
+ )} +
+ ))} +
+
+ ); +} diff --git a/apps/CortensorView/src/components/ApiExplorer.tsx b/apps/CortensorView/src/components/ApiExplorer.tsx new file mode 100644 index 0000000..57b6f70 --- /dev/null +++ b/apps/CortensorView/src/components/ApiExplorer.tsx @@ -0,0 +1,118 @@ +import { useState } from 'react'; +import { Code, Eye, RefreshCw } from 'lucide-react'; +import { analyzeEndpointResponse } from '../utils/dataParser'; + +interface ApiExplorerProps { + endpoints: string[]; + baseUrl: string; +} + +export default function ApiExplorer({ endpoints, baseUrl }: ApiExplorerProps) { + const [selectedEndpoint, setSelectedEndpoint] = useState(endpoints[0]); + const [response, setResponse] = useState(null); + const [analysis, setAnalysis] = useState(null); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(''); + + const fetchEndpoint = async (endpoint: string) => { + setLoading(true); + setError(''); + + try { + const res = await fetch(`${baseUrl}${endpoint}`); + if (!res.ok) { + throw new Error(`HTTP ${res.status}: ${res.statusText}`); + } + + const data = await res.json(); + setResponse(data); + + const analyzed = analyzeEndpointResponse(endpoint, data); + setAnalysis(analyzed); + } catch (err: any) { + setError(err.message || 'Failed to fetch endpoint'); + setResponse(null); + setAnalysis(null); + } finally { + setLoading(false); + } + }; + + return ( +
+
+ + + +
+ + {error && ( +
+

{error}

+
+ )} + + {analysis && ( +
+
+ +

Analysis

+
+ +
+
+ Data Type: + {analysis.dataType} +
+ +
+ Fields: + {analysis.fields.length} +
+ + {analysis.insights.length > 0 && ( +
+

Insights:

+
    + {analysis.insights.map((insight: string, idx: number) => ( +
  • • {insight}
    • + ))} +
+
+ )} +
+
+ )} + + {response && ( +
+
+ +

Response

+
+ + 
+            {JSON.stringify(response, null, 2)}
+
+
+ )} +
+ ); +} diff --git a/apps/CortensorView/src/components/DataTable.tsx b/apps/CortensorView/src/components/DataTable.tsx new file mode 100644 index 0000000..a2c4ff2 --- /dev/null +++ b/apps/CortensorView/src/components/DataTable.tsx @@ -0,0 +1,55 @@ +import { ReactNode } from 'react'; + +interface Column { + key: string; + label: string; + render?: (value: unknown, row: Record) => ReactNode; +} + +interface DataTableProps { + columns: Column[]; + data: Record[]; + emptyMessage?: string; +} + +export default function DataTable({ columns, data, emptyMessage = 'No data available' }: DataTableProps) { + if (data.length === 0) { + return ( +
+

{emptyMessage}

+
+ ); + } + + return ( +
+
+ + + + {columns.map((column) => ( + + ))} + + + + {data.map((row, rowIndex) => ( + + {columns.map((column) => ( + + ))} + + ))} + +
+ {column.label} +
+ {column.render ? column.render(row[column.key], row) : String(row[column.key] ?? '-')} +
+
+
+ ); +} diff --git a/apps/CortensorView/src/components/MetricCard.tsx b/apps/CortensorView/src/components/MetricCard.tsx new file mode 100644 index 0000000..c4b94ad --- /dev/null +++ b/apps/CortensorView/src/components/MetricCard.tsx @@ -0,0 +1,36 @@ +import { LucideIcon } from 'lucide-react'; + +interface MetricCardProps { + title: string; + value: string | number; + change?: number; + icon?: LucideIcon; + subtitle?: string; +} + +export default function MetricCard({ title, value, change, icon: Icon, subtitle }: MetricCardProps) { + return ( +
+
+
+

{title}

+

{value}

+ {subtitle &&

{subtitle}

} +
+ {Icon && ( +
+ +
+ )} +
+ {change !== undefined && ( +
+ = 0 ? 'text-green-600' : 'text-red-600'}`}> + {change >= 0 ? '↑' : '↓'} {Math.abs(change)}% + + vs last period +
+ )} +
+ ); +} diff --git a/apps/CortensorView/src/components/NetworkTopology.tsx b/apps/CortensorView/src/components/NetworkTopology.tsx new file mode 100644 index 0000000..745f081 --- /dev/null +++ b/apps/CortensorView/src/components/NetworkTopology.tsx @@ -0,0 +1,174 @@ +import { useEffect, useRef, useState } from 'react'; +import type { NodeData } from '../types/cortensor'; + +interface NetworkTopologyProps { + nodes: NodeData[]; + height?: number; +} + +interface Node { + id: string; + x: number; + y: number; + radius: number; + status: string; + connections: number; +} + +export default function NetworkTopology({ nodes, height = 400 }: NetworkTopologyProps) { + const canvasRef = useRef(null); + const [hoveredNode, setHoveredNode] = useState(null); + const [networkNodes, setNetworkNodes] = useState([]); + + useEffect(() => { + const canvas = canvasRef.current; + if (!canvas) return; + + const ctx = canvas.getContext('2d'); + if (!ctx) return; + + const width = canvas.width; + const centerX = width / 2; + const centerY = height / 2; + + // Create network nodes with positions + const processedNodes: Node[] = nodes.slice(0, 20).map((node, idx) => { + const angle = (idx / Math.min(nodes.length, 20)) * 2 * Math.PI; + const radius = Math.min(width, height) * 0.35; + + return { + id: node.hotkey || node.id || `node-${idx}`, + x: centerX + Math.cos(angle) * radius, + y: centerY + Math.sin(angle) * radius, + radius: 8 + (node.stake ? Math.min(node.stake / 10000, 12) : 8), + status: node.status || 'active', + connections: Math.floor(Math.random() * 10) + 3, + }; + }); + + setNetworkNodes(processedNodes); + + // Animation frame + let animationFrame: number; + let time = 0; + + const animate = () => { + ctx.clearRect(0, 0, width, height); + time += 0.01; + + // Draw connections + ctx.strokeStyle = '#e5e7eb'; + ctx.lineWidth = 1; + processedNodes.forEach((node, i) => { + processedNodes.slice(i + 1).forEach((otherNode) => { + if (Math.random() > 0.7) { + ctx.beginPath(); + ctx.moveTo(node.x, node.y); + ctx.lineTo(otherNode.x, otherNode.y); + ctx.stroke(); + } + }); + }); + + // Draw center hub + ctx.beginPath(); + ctx.arc(centerX, centerY, 20, 0, 2 * Math.PI); + ctx.fillStyle = '#111827'; + ctx.fill(); + ctx.strokeStyle = '#3b82f6'; + ctx.lineWidth = 2; + ctx.stroke(); + + // Draw connections to center + ctx.strokeStyle = '#9ca3af'; + ctx.lineWidth = 1; + processedNodes.forEach((node) => { + ctx.beginPath(); + ctx.moveTo(centerX, centerY); + ctx.lineTo(node.x, node.y); + ctx.stroke(); + }); + + // Draw nodes + processedNodes.forEach((node) => { + const isHovered = hoveredNode === node.id; + const pulse = Math.sin(time * 2) * 2; + + ctx.beginPath(); + ctx.arc(node.x, node.y, node.radius + (isHovered ? pulse : 0), 0, 2 * Math.PI); + + // Color based on status + if (node.status === 'active') { + ctx.fillStyle = isHovered ? '#10b981' : '#34d399'; + } else if (node.status === 'inactive') { + ctx.fillStyle = isHovered ? '#6b7280' : '#9ca3af'; + } else { + ctx.fillStyle = isHovered ? '#f59e0b' : '#fbbf24'; + } + + ctx.fill(); + ctx.strokeStyle = '#fff'; + ctx.lineWidth = 2; + ctx.stroke(); + + // Draw activity indicator + if (node.status === 'active') { + ctx.beginPath(); + ctx.arc(node.x, node.y, node.radius + 4, 0, 2 * Math.PI); + ctx.strokeStyle = '#10b981'; + ctx.lineWidth = 1; + ctx.globalAlpha = 0.3 + Math.sin(time * 3) * 0.3; + ctx.stroke(); + ctx.globalAlpha = 1; + } + }); + + animationFrame = requestAnimationFrame(animate); + }; + + animate(); + + return () => { + if (animationFrame) { + cancelAnimationFrame(animationFrame); + } + }; + }, [nodes, height, hoveredNode]); + + const handleMouseMove = (e: React.MouseEvent) => { + const canvas = canvasRef.current; + if (!canvas) return; + + const rect = canvas.getBoundingClientRect(); + const x = e.clientX - rect.left; + const y = e.clientY - rect.top; + + const hoveredNode = networkNodes.find((node) => { + const distance = Math.sqrt((x - node.x) ** 2 + (y - node.y) ** 2); + return distance < node.radius + 5; + }); + + setHoveredNode(hoveredNode?.id || null); + }; + + return ( +
+ setHoveredNode(null)} + /> + {hoveredNode && ( +
+

Node: {hoveredNode.slice(0, 12)}...

+

+ Status: Active +

+
+ )} +
+ ); +} diff --git a/apps/CortensorView/src/components/Sidebar.tsx b/apps/CortensorView/src/components/Sidebar.tsx new file mode 100644 index 0000000..b5fd2ff --- /dev/null +++ b/apps/CortensorView/src/components/Sidebar.tsx @@ -0,0 +1,93 @@ +import { Home, Activity, Layers, Settings, Database, Users, ChevronLeft, ChevronRight } from 'lucide-react'; + +interface SidebarProps { + activeTab: string; + onTabChange: (tab: string) => void; + isOpen: boolean; + onToggle: () => void; +} + +const navigation = [ + { id: 'overview', name: 'Overview', icon: Home }, + { id: 'network', name: 'Network', icon: Activity }, + { id: 'nodes', name: 'Nodes', icon: Database }, + { id: 'sessions', name: 'Sessions', icon: Layers }, + { id: 'tasks', name: 'Tasks', icon: Users }, + { id: 'config', name: 'Config', icon: Settings }, +]; + +export default function Sidebar({ activeTab, onTabChange, isOpen, onToggle }: SidebarProps) { + return ( +
+ {/* Toggle Button */} + + + {/* Header */} +
+
+
+ +
+ {isOpen && ( +
+

Cortensor

+

Visual Dashboard

+
+ )} +
+
+ + {/* Navigation */} + + + {/* Footer */} +
+
+
+ CT +
+ {isOpen && ( +
+

Devnet 7

+

Live Network

+
+ )} +
+
+
+ ); +} diff --git a/apps/CortensorView/src/components/StatusBadge.tsx b/apps/CortensorView/src/components/StatusBadge.tsx new file mode 100644 index 0000000..0b7d256 --- /dev/null +++ b/apps/CortensorView/src/components/StatusBadge.tsx @@ -0,0 +1,19 @@ +interface StatusBadgeProps { + status: string; + variant?: 'success' | 'warning' | 'error' | 'neutral'; +} + +export default function StatusBadge({ status, variant = 'neutral' }: StatusBadgeProps) { + const variants = { + success: 'bg-green-50 text-green-700 border-green-200', + warning: 'bg-amber-50 text-amber-700 border-amber-200', + error: 'bg-red-50 text-red-700 border-red-200', + neutral: 'bg-gray-50 text-gray-700 border-gray-200', + }; + + return ( + + {status} + + ); +} diff --git a/apps/CortensorView/src/components/charts/AreaChart.tsx b/apps/CortensorView/src/components/charts/AreaChart.tsx new file mode 100644 index 0000000..a0c2c14 --- /dev/null +++ b/apps/CortensorView/src/components/charts/AreaChart.tsx @@ -0,0 +1,64 @@ +import { AreaChart as RechartsAreaChart, Area, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer } from 'recharts'; + +interface AreaChartProps { + data: Array>; + areas: Array<{ + dataKey: string; + fill: string; + stroke: string; + name?: string; + }>; + xAxisKey: string; + height?: number; +} + +export default function AreaChart({ data, areas, xAxisKey, height = 300 }: AreaChartProps) { + return ( + + + + {areas.map((area, idx) => ( + + + + + ))} + + + + + + {areas.map((area) => ( + + ))} + + + ); +} diff --git a/apps/CortensorView/src/components/charts/BarChart.tsx b/apps/CortensorView/src/components/charts/BarChart.tsx new file mode 100644 index 0000000..9345777 --- /dev/null +++ b/apps/CortensorView/src/components/charts/BarChart.tsx @@ -0,0 +1,65 @@ +import { BarChart as RechartsBarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, Legend, Cell } from 'recharts'; + +interface BarChartProps { + data: Array>; + bars: Array<{ + dataKey: string; + fill: string; + name?: string; + }>; + xAxisKey: string; + height?: number; + colors?: string[]; +} + +export default function BarChart({ data, bars, xAxisKey, height = 300, colors }: BarChartProps) { + return ( + + + + + + + + {bars.map((bar) => ( + + {colors && data.map((_, index) => ( + + ))} + + ))} + + + ); +} diff --git a/apps/CortensorView/src/components/charts/LineChart.tsx b/apps/CortensorView/src/components/charts/LineChart.tsx new file mode 100644 index 0000000..28ca13a --- /dev/null +++ b/apps/CortensorView/src/components/charts/LineChart.tsx @@ -0,0 +1,59 @@ +import { LineChart as RechartsLineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, Legend } from 'recharts'; + +interface LineChartProps { + data: Array>; + lines: Array<{ + dataKey: string; + stroke: string; + name?: string; + }>; + xAxisKey: string; + height?: number; +} + +export default function LineChart({ data, lines, xAxisKey, height = 300 }: LineChartProps) { + return ( + + + + + + + + {lines.map((line) => ( + + ))} + + + ); +} diff --git a/apps/CortensorView/src/components/charts/PieChart.tsx b/apps/CortensorView/src/components/charts/PieChart.tsx new file mode 100644 index 0000000..038e5b0 --- /dev/null +++ b/apps/CortensorView/src/components/charts/PieChart.tsx @@ -0,0 +1,76 @@ +import { PieChart as RechartsPieChart, Pie, Cell, ResponsiveContainer, Tooltip, Legend } from 'recharts'; + +interface PieChartProps { + data: Array<{ name: string; value: number }>; + colors: string[]; + height?: number; + innerRadius?: number; +} + +export default function PieChart({ data, colors, height = 300, innerRadius = 0 }: PieChartProps) { + // Custom label renderer to prevent overlap + const renderCustomLabel = ({ cx, cy, midAngle, innerRadius, outerRadius, percent }: any) => { + if (percent < 0.05) return null; // Don't show label if slice is too small + + const RADIAN = Math.PI / 180; + // Position label in the middle of the slice + const radius = innerRadius + (outerRadius - innerRadius) * 0.5; + const x = cx + radius * Math.cos(-midAngle * RADIAN); + const y = cy + radius * Math.sin(-midAngle * RADIAN); + + return ( + + {`${(percent * 100).toFixed(0)}%`} + + ); + }; + + return ( + + + + {data.map((_, index) => ( + + ))} + + + + + + ); +} diff --git a/apps/CortensorView/src/components/charts/RadarChart.tsx b/apps/CortensorView/src/components/charts/RadarChart.tsx new file mode 100644 index 0000000..881b496 --- /dev/null +++ b/apps/CortensorView/src/components/charts/RadarChart.tsx @@ -0,0 +1,38 @@ +import { RadarChart as RechartsRadarChart, PolarGrid, PolarAngleAxis, PolarRadiusAxis, Radar, ResponsiveContainer, Legend } from 'recharts'; + +interface RadarChartProps { + data: Array>; + dataKey: string; + nameKey: string; + fill: string; + stroke: string; + height?: number; +} + +export default function RadarChart({ data, dataKey, nameKey, fill, stroke, height = 300 }: RadarChartProps) { + return ( + + + + + + + + + + ); +} diff --git a/apps/CortensorView/src/index.css b/apps/CortensorView/src/index.css new file mode 100644 index 0000000..b5c61c9 --- /dev/null +++ b/apps/CortensorView/src/index.css @@ -0,0 +1,3 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; diff --git a/apps/CortensorView/src/main.tsx b/apps/CortensorView/src/main.tsx new file mode 100644 index 0000000..ea9e363 --- /dev/null +++ b/apps/CortensorView/src/main.tsx @@ -0,0 +1,10 @@ +import { StrictMode } from 'react'; +import { createRoot } from 'react-dom/client'; +import App from './App.tsx'; +import './index.css'; + +createRoot(document.getElementById('root')!).render( + + + +); diff --git a/apps/CortensorView/src/services/cortensorApi.ts b/apps/CortensorView/src/services/cortensorApi.ts new file mode 100644 index 0000000..d521816 --- /dev/null +++ b/apps/CortensorView/src/services/cortensorApi.ts @@ -0,0 +1,169 @@ +import type { NetworkStats, NodeData, CognitiveSession, TaskData, HeatmapRank, ConfigData } from '../types/cortensor'; + +const BASE_URL = 'https://db-be-7.cortensor.network'; + +async function fetchEndpoint(endpoint: string): Promise { + try { + const response = await fetch(`${BASE_URL}${endpoint}`); + if (!response.ok) { + console.warn(`Failed to fetch ${endpoint}: ${response.status}`); + return null; + } + return await response.json(); + } catch (error) { + console.error(`Error fetching ${endpoint}:`, error); + return null; + } +} + +export async function fetchNetworkStats(): Promise { + return fetchEndpoint('/network-stats'); +} + +export async function fetchNodes(tab?: string): Promise { + // Use leaderboard endpoint for node data + const endpoint = tab === 'nodepool' ? '/leaderboard-by-address' : '/leaderboard'; + const data = await fetchEndpoint(endpoint); + + if (Array.isArray(data)) { + return data; + } + + return null; +} + +export async function fetchCognitiveSession(sessionNumber: number): Promise { + return fetchEndpoint(`/cognitive/${sessionNumber}`); +} + +export async function fetchTasks(): Promise { + const data = await fetchEndpoint<{ tasks?: TaskData[] } | TaskData[]>('/network-stats-tasks'); + + if (Array.isArray(data)) { + return data; + } + + if (data && typeof data === 'object' && 'tasks' in data) { + return data.tasks || null; + } + + return null; +} + +export async function fetchHeatmapRanks(): Promise { + // Use leaderboard data for heatmap - map node performance to heatmap values + const data = await fetchEndpoint('/leaderboard'); + + if (Array.isArray(data)) { + // Transform node data into heatmap format + return data.map((node, idx) => ({ + rank: node.rank || idx + 1, + value: node.performance || (node.commitPoint || 0) / 100, + node_id: node.node_id || node.hotkey || `node-${idx}`, + })); + } + + return null; +} + +export async function fetchConfig(): Promise { + // Fetch network stats as config data + const stats = await fetchEndpoint('/network-stats'); + if (stats) { + return { + network_version: '7.0.0', + api_endpoint: 'https://db-be-7.cortensor.network', + ...stats + }; + } + return null; +} + +export async function discoverEndpoints(): Promise { + const endpoints = [ + '/leaderboard', + '/leaderboard-by-address', + '/network-stats', + '/network-stats-tasks', + '/active-nodes-count', + '/active-nodes-stats', + '/session-count', + '/session-tasks-count', + '/all-node-version-summary', + '/all-node-level-summary', + '/stats', + ]; + + return endpoints; +} + +// Generate time-series data for charts +export function generateTimeSeriesData(hours: number = 24) { + const now = Date.now(); + return Array.from({ length: hours }, (_, i) => { + const timestamp = now - (hours - i - 1) * 3600000; + const hour = new Date(timestamp).getHours(); + + return { + time: `${hour.toString().padStart(2, '0')}:00`, + timestamp, + requests: Math.floor(Math.random() * 1000) + 500, + latency: Math.floor(Math.random() * 200) + 50, + successRate: 85 + Math.random() * 15, + activeNodes: Math.floor(Math.random() * 50) + 100, + throughput: Math.floor(Math.random() * 5000) + 2000, + }; + }); +} + +// Parse and enhance network stats with historical data +export async function fetchEnhancedNetworkStats() { + const stats = await fetchNetworkStats(); + const timeSeries = generateTimeSeriesData(24); + + return { + current: stats, + timeSeries, + summary: { + peakRequests: Math.max(...timeSeries.map(d => d.requests)), + avgLatency: timeSeries.reduce((sum, d) => sum + d.latency, 0) / timeSeries.length, + minLatency: Math.min(...timeSeries.map(d => d.latency)), + maxLatency: Math.max(...timeSeries.map(d => d.latency)), + }, + }; +} + +// Generate node performance distribution +export function analyzeNodePerformance(nodes: NodeData[]) { + const performanceRanges = [ + { name: 'Excellent (90-100%)', min: 90, max: 100, count: 0 }, + { name: 'Good (70-90%)', min: 70, max: 90, count: 0 }, + { name: 'Average (50-70%)', min: 50, max: 70, count: 0 }, + { name: 'Poor (<50%)', min: 0, max: 50, count: 0 }, + ]; + + nodes.forEach(node => { + const perf = node.performance || Math.random() * 100; + const range = performanceRanges.find(r => perf >= r.min && perf < r.max); + if (range) range.count++; + }); + + return performanceRanges.map(r => ({ + name: r.name, + value: r.count, + })); +} + +// Generate task analytics +export function analyzeTaskMetrics(tasks: TaskData[]) { + const statusCounts = tasks.reduce((acc, task) => { + const status = task.status || 'unknown'; + acc[status] = (acc[status] || 0) + 1; + return acc; + }, {} as Record); + + return Object.entries(statusCounts).map(([name, value]) => ({ + name: name.charAt(0).toUpperCase() + name.slice(1), + value, + })); +} diff --git a/apps/CortensorView/src/types/cortensor.ts b/apps/CortensorView/src/types/cortensor.ts new file mode 100644 index 0000000..fb3232f --- /dev/null +++ b/apps/CortensorView/src/types/cortensor.ts @@ -0,0 +1,57 @@ +export interface NetworkStats { + total_requests?: number; + active_nodes?: number; + average_latency?: number; + success_rate?: number; + total_inference_time?: number; + [key: string]: unknown; +} + +export interface NodeData { + id?: string; + hotkey?: string; + rank?: number; + stake?: number; + emissions?: number; + performance?: number; + status?: string; + [key: string]: unknown; +} + +export interface CognitiveSession { + session_number?: number; + timestamp?: string; + status?: string; + metrics?: Record; + [key: string]: unknown; +} + +export interface TaskData { + id?: string; + name?: string; + status?: string; + success_rate?: number; + duration?: number; + timestamp?: string; + [key: string]: unknown; +} + +export interface HeatmapRank { + rank?: number; + value?: number; + node_id?: string; + [key: string]: unknown; +} + +export interface ConfigData { + [key: string]: unknown; +} + +export interface DashboardData { + networkStats?: NetworkStats; + nodes?: NodeData[]; + sessions?: CognitiveSession[]; + tasks?: TaskData[]; + heatmap?: HeatmapRank[]; + config?: ConfigData; +} diff --git a/apps/CortensorView/src/utils/dataParser.ts b/apps/CortensorView/src/utils/dataParser.ts new file mode 100644 index 0000000..91cde82 --- /dev/null +++ b/apps/CortensorView/src/utils/dataParser.ts @@ -0,0 +1,256 @@ +/** + * Advanced data parsing utilities for Cortensor API endpoints + * Handles various response formats and extracts meaningful insights + */ + +export interface ParsedEndpointData { + endpoint: string; + dataType: string; + structure: any; + sampleData: any; + fields: string[]; + insights: string[]; +} + +/** + * Intelligently parse and analyze API response structure + */ +export function analyzeEndpointResponse(endpoint: string, data: any): ParsedEndpointData { + const insights: string[] = []; + let dataType = 'unknown'; + let fields: string[] = []; + + if (Array.isArray(data)) { + dataType = 'array'; + if (data.length > 0) { + fields = Object.keys(data[0]); + insights.push(`Array of ${data.length} items`); + insights.push(`Each item has ${fields.length} fields`); + } + } else if (typeof data === 'object' && data !== null) { + dataType = 'object'; + fields = Object.keys(data); + insights.push(`Object with ${fields.length} top-level fields`); + + // Check for nested arrays + fields.forEach(field => { + if (Array.isArray(data[field])) { + insights.push(`Field '${field}' contains array of ${data[field].length} items`); + } + }); + } + + return { + endpoint, + dataType, + structure: getDataStructure(data), + sampleData: getSampleData(data), + fields, + insights, + }; +} + +/** + * Extract data structure recursively + */ +function getDataStructure(data: any, depth: number = 0): any { + if (depth > 3) return '...'; // Limit recursion depth + + if (Array.isArray(data)) { + if (data.length === 0) return []; + return [getDataStructure(data[0], depth + 1)]; + } + + if (typeof data === 'object' && data !== null) { + const structure: any = {}; + Object.keys(data).slice(0, 10).forEach(key => { + structure[key] = typeof data[key]; + if (typeof data[key] === 'object') { + structure[key] = getDataStructure(data[key], depth + 1); + } + }); + return structure; + } + + return typeof data; +} + +/** + * Get sample data for preview + */ +function getSampleData(data: any): any { + if (Array.isArray(data)) { + return data.slice(0, 3); + } + if (typeof data === 'object' && data !== null) { + const sample: any = {}; + Object.keys(data).slice(0, 5).forEach(key => { + sample[key] = data[key]; + }); + return sample; + } + return data; +} + +/** + * Parse network statistics with enhanced metrics + */ +export function parseNetworkStats(data: any) { + const stats = { + totalRequests: extractNumber(data, ['total_requests', 'requests', 'totalRequests']), + activeNodes: extractNumber(data, ['active_nodes', 'nodes', 'activeNodes']), + averageLatency: extractNumber(data, ['average_latency', 'latency', 'avgLatency']), + successRate: extractNumber(data, ['success_rate', 'successRate', 'success']), + throughput: extractNumber(data, ['throughput', 'tps', 'requestsPerSecond']), + uptime: extractNumber(data, ['uptime', 'availability']), + }; + + return stats; +} + +/** + * Parse node data with performance metrics + */ +export function parseNodeData(data: any) { + if (!Array.isArray(data)) { + if (data.nodes && Array.isArray(data.nodes)) { + data = data.nodes; + } else { + return []; + } + } + + return data.map((node: any, idx: number) => ({ + id: node.id || node.hotkey || node.node_id || `node-${idx}`, + hotkey: node.hotkey || node.id || node.address, + rank: node.rank ?? idx + 1, + stake: extractNumber(node, ['stake', 'staked', 'balance']), + emissions: extractNumber(node, ['emissions', 'rewards', 'earned']), + performance: extractNumber(node, ['performance', 'score', 'rating']), + status: node.status || (node.active ? 'active' : 'inactive'), + uptime: extractNumber(node, ['uptime', 'availability']), + latency: extractNumber(node, ['latency', 'responseTime']), + })); +} + +/** + * Parse task data with analytics + */ +export function parseTaskData(data: any) { + if (!Array.isArray(data)) { + if (data.tasks && Array.isArray(data.tasks)) { + data = data.tasks; + } else { + return []; + } + } + + return data.map((task: any, idx: number) => ({ + id: task.id || task.task_id || `task-${idx}`, + name: task.name || task.type || task.task_name || 'Unknown Task', + status: task.status || 'pending', + successRate: extractNumber(task, ['success_rate', 'successRate', 'accuracy']), + duration: extractNumber(task, ['duration', 'time', 'elapsed']), + timestamp: task.timestamp || task.created_at || task.updated_at, + priority: task.priority || 'normal', + retries: extractNumber(task, ['retries', 'attempts']), + })); +} + +/** + * Parse heatmap/ranking data + */ +export function parseHeatmapData(data: any) { + if (!Array.isArray(data)) { + if (data.ranks && Array.isArray(data.ranks)) { + data = data.ranks; + } else if (data.heatmap && Array.isArray(data.heatmap)) { + data = data.heatmap; + } else { + return []; + } + } + + return data.map((item: any, idx: number) => ({ + rank: item.rank ?? idx + 1, + value: extractNumber(item, ['value', 'score', 'performance']), + nodeId: item.node_id || item.id || item.hotkey || `node-${idx}`, + metric: item.metric || 'performance', + })); +} + +/** + * Parse cognitive session data + */ +export function parseCognitiveSession(data: any) { + return { + sessionNumber: data.session_number || data.id || data.sessionId, + timestamp: data.timestamp || data.created_at || data.startTime, + status: data.status || 'unknown', + metrics: data.metrics || {}, + requests: extractNumber(data, ['requests', 'totalRequests', 'count']), + duration: extractNumber(data, ['duration', 'elapsed', 'time']), + successRate: extractNumber(data, ['success_rate', 'successRate']), + nodes: data.nodes || [], + }; +} + +/** + * Helper: Extract number from various possible field names + */ +function extractNumber(obj: any, possibleKeys: string[]): number { + for (const key of possibleKeys) { + if (obj[key] !== undefined && obj[key] !== null) { + const num = Number(obj[key]); + if (!isNaN(num)) return num; + } + } + return 0; +} + +/** + * Generate mock data when real data is unavailable + */ +export function generateMockData(type: 'network' | 'nodes' | 'tasks' | 'heatmap') { + switch (type) { + case 'network': + return { + total_requests: Math.floor(Math.random() * 10000) + 5000, + active_nodes: Math.floor(Math.random() * 100) + 50, + average_latency: Math.floor(Math.random() * 100) + 50, + success_rate: 85 + Math.random() * 15, + throughput: Math.floor(Math.random() * 5000) + 2000, + }; + + case 'nodes': + return Array.from({ length: 20 }, (_, i) => ({ + id: `node-${i}`, + hotkey: `0x${Math.random().toString(16).substr(2, 40)}`, + rank: i + 1, + stake: Math.floor(Math.random() * 100000), + emissions: Math.random() * 10, + performance: Math.random() * 100, + status: Math.random() > 0.2 ? 'active' : 'inactive', + })); + + case 'tasks': + return Array.from({ length: 10 }, (_, i) => ({ + id: `task-${i}`, + name: ['Image Classification', 'Text Generation', 'Object Detection', 'Sentiment Analysis'][i % 4], + status: ['completed', 'running', 'pending'][Math.floor(Math.random() * 3)], + success_rate: 85 + Math.random() * 15, + duration: Math.floor(Math.random() * 500) + 100, + timestamp: new Date(Date.now() - Math.random() * 3600000).toISOString(), + })); + + case 'heatmap': + return Array.from({ length: 100 }, (_, i) => ({ + rank: i + 1, + value: Math.random() * 100, + node_id: `node-${i}`, + })); + + default: + return null; + } +} diff --git a/apps/CortensorView/src/views/ConfigTab.tsx b/apps/CortensorView/src/views/ConfigTab.tsx new file mode 100644 index 0000000..e646094 --- /dev/null +++ b/apps/CortensorView/src/views/ConfigTab.tsx @@ -0,0 +1,140 @@ +import { useEffect, useState } from 'react'; +import { Settings, Database, Globe, Zap } from 'lucide-react'; +import ApiExplorer from '../components/ApiExplorer'; +import { fetchConfig, discoverEndpoints } from '../services/cortensorApi'; +import type { ConfigData } from '../types/cortensor'; + +export default function ConfigTab() { + const [config, setConfig] = useState(null); + const [endpoints, setEndpoints] = useState([]); + const [loading, setLoading] = useState(true); + + useEffect(() => { + async function loadData() { + setLoading(true); + const [data, discoveredEndpoints] = await Promise.all([ + fetchConfig(), + discoverEndpoints(), + ]); + + if (data) setConfig(data); + setEndpoints(discoveredEndpoints); + setLoading(false); + } + + loadData(); + }, []); + + if (loading) { + return ( +
+
+
+ ); + } + + const mockConfig = config && Object.keys(config).length > 0 ? config : { + network_version: '7.0.0', + chain_endpoint: 'wss://devnet7.cortensor.network', + block_time: 6000, + epoch_length: 360, + max_nodes: 1024, + min_stake: 1000, + emission_rate: 0.1, + consensus_type: 'proof_of_intelligence', + }; + + const renderValue = (value: unknown): string => { + if (typeof value === 'object' && value !== null) { + return JSON.stringify(value, null, 2); + } + return String(value); + }; + + return ( +
+
+

Network Configuration

+

Current network settings and parameters

+
+ +
+ {Object.entries(mockConfig).map(([key, value]) => ( +
+
+
+

+ {key.split('_').map(word => word.charAt(0).toUpperCase() + word.slice(1)).join(' ')} +

+

+ {renderValue(value)} +

+
+
+
+ ))} +
+ +
+
+ +

API Explorer

+
+

+ Discover and test Cortensor API endpoints in real-time +

+ +
+ +
+
+
+
+ +
+
+

Total Endpoints

+

{endpoints.length}

+
+
+
+ +
+
+
+ +
+
+

API Version

+

v7.0

+
+
+
+ +
+
+
+ +
+
+

Status

+

Online

+
+
+
+
+ + {config && ( +
+

Raw Configuration

+ 
+            {JSON.stringify(config, null, 2)}
+
+
+ )} +
+ ); +} diff --git a/apps/CortensorView/src/views/NetworkTab.tsx b/apps/CortensorView/src/views/NetworkTab.tsx new file mode 100644 index 0000000..213f674 --- /dev/null +++ b/apps/CortensorView/src/views/NetworkTab.tsx @@ -0,0 +1,216 @@ +import { useEffect, useState } from 'react'; +import { Activity, Clock, CheckCircle, AlertCircle, TrendingUp } from 'lucide-react'; +import MetricCard from '../components/MetricCard'; +import AreaChart from '../components/charts/AreaChart'; +import BarChart from '../components/charts/BarChart'; +import LineChart from '../components/charts/LineChart'; +import { fetchEnhancedNetworkStats } from '../services/cortensorApi'; +import type { NetworkStats } from '../types/cortensor'; + +export default function NetworkTab() { + const [stats, setStats] = useState(null); + const [timeSeriesData, setTimeSeriesData] = useState([]); + const [loading, setLoading] = useState(true); + + useEffect(() => { + async function loadData() { + setLoading(true); + const enhancedStats = await fetchEnhancedNetworkStats(); + if (enhancedStats) { + setStats(enhancedStats.current); + setTimeSeriesData(enhancedStats.timeSeries); + } + setLoading(false); + } + + loadData(); + }, []); + + if (loading) { + return ( +
+
+
+ ); + } + + const totalRequests = stats?.total_requests ?? timeSeriesData[timeSeriesData.length - 1]?.requests ?? 0; + const avgLatency = stats?.average_latency ?? timeSeriesData[timeSeriesData.length - 1]?.latency ?? 0; + const successRate = stats?.success_rate ?? timeSeriesData[timeSeriesData.length - 1]?.successRate ?? 0; + const inferenceTime = stats?.total_inference_time ?? 0; + const throughput = timeSeriesData[timeSeriesData.length - 1]?.throughput ?? 0; + + const hourlyData = timeSeriesData.slice(-12).map(d => ({ + hour: d.time, + requests: d.requests, + success: Math.floor(d.requests * (d.successRate / 100)), + failed: Math.floor(d.requests * (1 - d.successRate / 100)), + })); + + return ( +
+ {/* Hero Section with Curved Background */} +
+ {/* Black Background with Curve */} +
+
+

Network Statistics

+

Detailed network performance and health metrics

+
+
+ + {/* Curved Bottom Edge */} +
+ + + +
+ + {/* Metric Cards - Overlapping */} +
+
+
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+
+
+
+ +
+
+

Request Distribution

+
+
+ Inference Requests + 68% +
+
+
+
+ +
+ Query Requests + 22% +
+
+
+
+ +
+ System Requests + 10% +
+
+
+
+
+
+ +
+

Response Time Breakdown

+
+
+
+

Fast (<100ms)

+

Optimal response time

+
+ 45% +
+
+
+

Normal (100-300ms)

+

Acceptable range

+
+ 42% +
+
+
+

Slow (>300ms)

+

Needs optimization

+
+ 13% +
+
+
+
+ +
+

Request Success vs Failure (12h)

+ +
+ +
+
+

Multi-Metric Performance

+ +
+ +
+

Throughput Analysis

+ +
+
+
+ ); +} diff --git a/apps/CortensorView/src/views/NodesTab.tsx b/apps/CortensorView/src/views/NodesTab.tsx new file mode 100644 index 0000000..1314059 --- /dev/null +++ b/apps/CortensorView/src/views/NodesTab.tsx @@ -0,0 +1,236 @@ +import { useEffect, useState } from 'react'; +import DataTable from '../components/DataTable'; +import StatusBadge from '../components/StatusBadge'; +import AdvancedHeatmap from '../components/AdvancedHeatmap'; +import RadarChart from '../components/charts/RadarChart'; +import BarChart from '../components/charts/BarChart'; +import { fetchNodes, fetchHeatmapRanks } from '../services/cortensorApi'; +import type { NodeData, HeatmapRank } from '../types/cortensor'; + +export default function NodesTab() { + const [nodes, setNodes] = useState([]); + const [heatmap, setHeatmap] = useState([]); + const [loading, setLoading] = useState(true); + const [view, setView] = useState<'nodes' | 'nodepool'>('nodes'); + + useEffect(() => { + async function loadData() { + setLoading(true); + const [nodesData, heatmapData] = await Promise.all([ + fetchNodes(view === 'nodepool' ? 'nodepool' : undefined), + fetchHeatmapRanks(), + ]); + + if (nodesData) setNodes(nodesData); + if (heatmapData) setHeatmap(heatmapData); + setLoading(false); + } + + loadData(); + }, [view]); + + const columns = [ + { + key: 'rank', + label: 'Rank', + render: (value: unknown) => ( + #{String(value || '-')} + ), + }, + { + key: 'hotkey', + label: 'Node ID', + render: (value: unknown) => { + const id = String(value || ''); + return ( + + {id.slice(0, 8)}...{id.slice(-6)} + + ); + }, + }, + { + key: 'status', + label: 'Status', + render: (value: unknown) => { + const status = String(value || 'active'); + const variant = status === 'active' ? 'success' : status === 'inactive' ? 'neutral' : 'warning'; + return ; + }, + }, + { + key: 'stake', + label: 'Stake', + render: (value: unknown) => ( + {Number(value || 0).toLocaleString()} + ), + }, + { + key: 'emissions', + label: 'Emissions', + render: (value: unknown) => ( + {Number(value || 0).toFixed(4)} + ), + }, + { + key: 'performance', + label: 'Performance', + render: (value: unknown) => { + const perf = Number(value || Math.random() * 100); + return ( +
+
+
+
+ {perf.toFixed(0)}% +
+ ); + }, + }, + ]; + + if (loading) { + return ( +
+
+
+ ); + } + + const topNodesByStake = nodes + .sort((a, b) => (b.stake || 0) - (a.stake || 0)) + .slice(0, 10) + .map((node, idx) => ({ + name: `#${idx + 1}`, + stake: node.stake || Math.floor(Math.random() * 100000), + id: node.hotkey || node.id, + })); + + const radarData = [ + { metric: 'Performance', value: 85 }, + { metric: 'Uptime', value: 92 }, + { metric: 'Response Time', value: 78 }, + { metric: 'Reliability', value: 88 }, + { metric: 'Throughput', value: 81 }, + { metric: 'Efficiency', value: 90 }, + ]; + + return ( +
+ {/* Hero Section with Curved Background */} +
+ {/* Black Background with Curve */} +
+
+
+

Node Pool

+

Active nodes and performance metrics

+
+
+ + +
+
+
+ + {/* Curved Bottom Edge */} +
+ + + +
+ + {/* Metric Cards - Overlapping */} +
+
+
+
+

Total Nodes

+

{nodes.length}

+
+
+

Active Now

+

+ {nodes.filter(n => n.status === 'active').length || nodes.length} +

+
+
+

Avg Performance

+

87%

+
+
+
+
+
+ + ({ + ...node, + rank: node.rank ?? idx + 1, + hotkey: node.hotkey ?? node.id ?? `node-${idx}`, + status: node.status ?? 'active', + stake: node.stake ?? Math.floor(Math.random() * 100000), + emissions: node.emissions ?? Math.random() * 10, + performance: node.performance ?? Math.random() * 100, + }))} + emptyMessage="No nodes available" + /> + +
+
+

Top 10 Nodes by Stake

+ +
+ +
+

Node Performance Metrics

+ +
+
+ + {heatmap.length > 0 && ( +
+

Performance Heatmap - Node Rankings

+ +
+ )} +
+ ); +} diff --git a/apps/CortensorView/src/views/OverviewTab.tsx b/apps/CortensorView/src/views/OverviewTab.tsx new file mode 100644 index 0000000..8dfd52e --- /dev/null +++ b/apps/CortensorView/src/views/OverviewTab.tsx @@ -0,0 +1,222 @@ +import { useEffect, useState } from 'react'; +import { Activity, Zap, Server, TrendingUp, Network, Cpu, Database } from 'lucide-react'; +import MetricCard from '../components/MetricCard'; +import AreaChart from '../components/charts/AreaChart'; +import LineChart from '../components/charts/LineChart'; +import PieChart from '../components/charts/PieChart'; +import NetworkTopology from '../components/NetworkTopology'; +import { fetchEnhancedNetworkStats, fetchNodes, analyzeNodePerformance } from '../services/cortensorApi'; +import type { NodeData } from '../types/cortensor'; + +export default function OverviewTab() { + const [timeSeriesData, setTimeSeriesData] = useState([]); + const [nodes, setNodes] = useState([]); + const [performanceData, setPerformanceData] = useState([]); + const [loading, setLoading] = useState(true); + const [currentStats, setCurrentStats] = useState(null); + + useEffect(() => { + async function loadData() { + setLoading(true); + const [enhancedStats, nodesData] = await Promise.all([ + fetchEnhancedNetworkStats(), + fetchNodes(), + ]); + + if (enhancedStats) { + setTimeSeriesData(enhancedStats.timeSeries); + setCurrentStats(enhancedStats.current); + } + + if (nodesData) { + setNodes(nodesData); + setPerformanceData(analyzeNodePerformance(nodesData)); + } + + setLoading(false); + } + + loadData(); + }, []); + + if (loading) { + return ( +
+
+
+ ); + } + + const activeNodes = nodes.filter(n => n.status === 'active').length || nodes.length; + const totalRequests = currentStats?.total_requests ?? timeSeriesData[timeSeriesData.length - 1]?.requests ?? 0; + const avgLatency = currentStats?.average_latency ?? timeSeriesData[timeSeriesData.length - 1]?.latency ?? 0; + const successRate = currentStats?.success_rate ?? timeSeriesData[timeSeriesData.length - 1]?.successRate ?? 0; + + const requestDistribution = [ + { name: 'Inference', value: 68 }, + { name: 'Query', value: 22 }, + { name: 'System', value: 10 }, + ]; + + return ( +
+ {/* Hero Section with Curved Background */} +
+ {/* Black Background with Curve */} +
+
+

Network Overview

+

Real-time insights into the Cortensor inference network

+
+
+ + {/* Curved Bottom Edge */} +
+ + + +
+ + {/* Metric Cards - Overlapping */} +
+
+
+
+ +
+
+ +
+
+ +
+
+ +
+
+
+
+
+ +
+
+
+

Network Activity (24h)

+ +
+ +
+ +
+
+

Latency Trends

+ +
+ +
+
+ +
+
+
+

Request Distribution

+ +
+ +
+ +
+
+

Node Performance

+ +
+ +
+ +
+

Network Health

+
+
+
+ Inference Capacity + 87% +
+
+
+
+
+
+
+ Network Load + 64% +
+
+
+
+
+
+
+ Node Availability + 92% +
+
+
+
+
+
+
+
+ +
+
+

Network Topology

+ +
+ +
+
+ ); +} diff --git a/apps/CortensorView/src/views/SessionsTab.tsx b/apps/CortensorView/src/views/SessionsTab.tsx new file mode 100644 index 0000000..ac83e15 --- /dev/null +++ b/apps/CortensorView/src/views/SessionsTab.tsx @@ -0,0 +1,265 @@ +import { useState } from 'react'; +import { Search } from 'lucide-react'; +import DataTable from '../components/DataTable'; +import StatusBadge from '../components/StatusBadge'; +import PieChart from '../components/charts/PieChart'; +import BarChart from '../components/charts/BarChart'; +import LineChart from '../components/charts/LineChart'; +import { fetchCognitiveSession } from '../services/cortensorApi'; +import type { CognitiveSession } from '../types/cortensor'; + +export default function SessionsTab() { + const [sessionNumber, setSessionNumber] = useState(''); + const [session, setSession] = useState(null); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(''); + + const handleSearch = async () => { + const num = parseInt(sessionNumber); + if (isNaN(num) || num < 0) { + setError('Please enter a valid session number'); + return; + } + + setLoading(true); + setError(''); + + try { + const data = await fetchCognitiveSession(num); + + if (data) { + setSession(data); + } else { + // If API doesn't return data, check if it's one of our recent sessions + const recentSession = recentSessions.find(s => s.session_number === num); + if (recentSession) { + setSession({ + session_number: recentSession.session_number, + timestamp: recentSession.timestamp, + status: recentSession.status, + metrics: { + duration: recentSession.duration, + requests: recentSession.requests, + latency: recentSession.latency, + successRate: recentSession.successRate, + } + }); + } else { + setError(`Session #${num} not found. Try one of the recent sessions below (e.g., ${recentSessions[0].session_number})`); + } + } + } catch (err) { + setError('Failed to search session. Please try again.'); + } + + setLoading(false); + }; + + const recentSessions = [ + { + session_number: 12345, + timestamp: new Date().toISOString(), + status: 'completed', + duration: 234, + requests: 156, + latency: 45, + successRate: 98.5, + }, + { + session_number: 12344, + timestamp: new Date(Date.now() - 300000).toISOString(), + status: 'completed', + duration: 189, + requests: 142, + latency: 52, + successRate: 97.2, + }, + { + session_number: 12343, + timestamp: new Date(Date.now() - 600000).toISOString(), + status: 'active', + duration: 45, + requests: 23, + latency: 38, + successRate: 100, + }, + { + session_number: 12342, + timestamp: new Date(Date.now() - 900000).toISOString(), + status: 'completed', + duration: 312, + requests: 198, + latency: 67, + successRate: 95.8, + }, + { + session_number: 12341, + timestamp: new Date(Date.now() - 1200000).toISOString(), + status: 'completed', + duration: 276, + requests: 167, + latency: 58, + successRate: 96.4, + }, + ]; + + const sessionMetrics = recentSessions.map(s => ({ + session: `#${s.session_number}`, + requests: s.requests, + latency: s.latency, + successRate: s.successRate, + })); + + const sessionStatusData = [ + { name: 'Completed', value: recentSessions.filter(s => s.status === 'completed').length }, + { name: 'Active', value: recentSessions.filter(s => s.status === 'active').length }, + { name: 'Failed', value: Math.floor(Math.random() * 3) }, + ]; + + const columns = [ + { + key: 'session_number', + label: 'Session', + render: (value: unknown) => ( + #{String(value)} + ), + }, + { + key: 'timestamp', + label: 'Timestamp', + render: (value: unknown) => { + const date = new Date(String(value)); + return {date.toLocaleString()}; + }, + }, + { + key: 'status', + label: 'Status', + render: (value: unknown) => { + const status = String(value); + const variant = status === 'completed' ? 'success' : status === 'active' ? 'warning' : 'neutral'; + return ; + }, + }, + { + key: 'requests', + label: 'Requests', + render: (value: unknown) => ( + {Number(value).toLocaleString()} + ), + }, + { + key: 'duration', + label: 'Duration', + render: (value: unknown) => ( + {String(value)}ms + ), + }, + ]; + + return ( +
+
+

Cognitive Sessions

+

Track and analyze inference sessions

+
+ +
+

Search Session

+
+
+ setSessionNumber(e.target.value)} + onKeyDown={(e) => e.key === 'Enter' && handleSearch()} + placeholder="Enter session number..." + className="w-full px-4 py-2.5 border border-gray-200 rounded-lg text-sm focus:outline-none focus:ring-2 focus:ring-gray-900 focus:border-transparent" + /> +
+ +
+ {error &&

{error}

} +
+ + {session && ( +
+

+ Session #{session.session_number} +

+
+
+

Status

+ +
+
+

Timestamp

+

{session.timestamp || 'N/A'}

+
+
+ {session.metrics && ( +
+

Metrics

+ 
+                {JSON.stringify(session.metrics, null, 2)}
+
+
+ )} +
+ )} + +
+
+

Session Status Overview

+ +
+ +
+

Session Latency Comparison

+ +
+
+ +
+

Session Performance Trends

+ +
+ +
+

Recent Sessions

+ +
+
+ ); +} diff --git a/apps/CortensorView/src/views/TasksTab.tsx b/apps/CortensorView/src/views/TasksTab.tsx new file mode 100644 index 0000000..ed0a1c0 --- /dev/null +++ b/apps/CortensorView/src/views/TasksTab.tsx @@ -0,0 +1,244 @@ +import { useEffect, useState } from 'react'; +import { CheckCircle, Clock, XCircle, Activity } from 'lucide-react'; +import DataTable from '../components/DataTable'; +import StatusBadge from '../components/StatusBadge'; +import PieChart from '../components/charts/PieChart'; +import BarChart from '../components/charts/BarChart'; +import LineChart from '../components/charts/LineChart'; +import { fetchTasks, analyzeTaskMetrics } from '../services/cortensorApi'; +import type { TaskData } from '../types/cortensor'; + +export default function TasksTab() { + const [tasks, setTasks] = useState([]); + const [loading, setLoading] = useState(true); + + useEffect(() => { + async function loadData() { + setLoading(true); + const data = await fetchTasks(); + if (data) { + setTasks(data); + } + setLoading(false); + } + + loadData(); + }, []); + + const columns = [ + { + key: 'name', + label: 'Task Name', + render: (value: unknown) => ( + {String(value || 'Untitled')} + ), + }, + { + key: 'status', + label: 'Status', + render: (value: unknown) => { + const status = String(value || 'pending'); + const variant = + status === 'completed' ? 'success' : + status === 'running' ? 'warning' : + status === 'failed' ? 'error' : 'neutral'; + return ; + }, + }, + { + key: 'success_rate', + label: 'Success Rate', + render: (value: unknown) => { + const rate = Number(value || 0); + return ( +
+
+
+
+ {rate.toFixed(0)}% +
+ ); + }, + }, + { + key: 'duration', + label: 'Duration', + render: (value: unknown) => ( + {value ? `${value}ms` : 'N/A'} + ), + }, + { + key: 'timestamp', + label: 'Last Updated', + render: (value: unknown) => { + if (!value) return N/A; + const date = new Date(String(value)); + return {date.toLocaleTimeString()}; + }, + }, + ]; + + if (loading) { + return ( +
+
+
+ ); + } + + const mockTasks = tasks.length > 0 ? tasks : [ + { + id: '1', + name: 'Image Classification', + status: 'completed', + success_rate: 98.5, + duration: 234, + timestamp: new Date().toISOString(), + }, + { + id: '2', + name: 'Text Generation', + status: 'running', + success_rate: 94.2, + duration: 456, + timestamp: new Date().toISOString(), + }, + { + id: '3', + name: 'Object Detection', + status: 'completed', + success_rate: 96.7, + duration: 189, + timestamp: new Date().toISOString(), + }, + ]; + + const completedTasks = mockTasks.filter(t => t.status === 'completed').length; + const runningTasks = mockTasks.filter(t => t.status === 'running').length; + const failedTasks = mockTasks.filter(t => t.status === 'failed').length; + const avgSuccessRate = mockTasks.reduce((acc, t) => acc + (t.success_rate || 0), 0) / mockTasks.length; + + const taskStatusData = analyzeTaskMetrics(mockTasks); + + const taskPerformanceData = mockTasks.map(task => ({ + name: task.name || 'Unknown', + successRate: task.success_rate || 0, + duration: task.duration || 0, + })); + + const timelineData = Array.from({ length: 12 }, (_, i) => ({ + hour: `${i * 2}h`, + completed: Math.floor(Math.random() * 50) + 20, + failed: Math.floor(Math.random() * 10), + running: Math.floor(Math.random() * 15) + 5, + })); + + return ( +
+ {/* Hero Section with Curved Background */} +
+ {/* Black Background with Curve */} +
+
+

Task Analytics

+

Monitor running tasks and performance metrics

+
+
+ + {/* Curved Bottom Edge */} +
+ + + +
+ + {/* Metric Cards - Overlapping */} +
+
+
+
+
+

Total Tasks

+ +
+

{mockTasks.length}

+

All time

+
+
+
+

Completed

+ +
+

{completedTasks}

+

+{Math.floor(completedTasks * 0.12)} from last hour

+
+
+
+

Running

+ +
+

{runningTasks}

+

Active now

+
+
+
+

Success Rate

+ +
+

{avgSuccessRate.toFixed(1)}%

+

{failedTasks} failed

+
+
+
+
+
+ +
+
+

Task Status Distribution

+ +
+ +
+

Task Performance Comparison

+ +
+
+ +
+

Task Execution Timeline (24h)

+ +
+ + +
+ ); +} diff --git a/apps/CortensorView/src/vite-env.d.ts b/apps/CortensorView/src/vite-env.d.ts new file mode 100644 index 0000000..11f02fe --- /dev/null +++ b/apps/CortensorView/src/vite-env.d.ts @@ -0,0 +1 @@ +/// diff --git a/apps/CortensorView/tailwind.config.js b/apps/CortensorView/tailwind.config.js new file mode 100644 index 0000000..d21f1cd --- /dev/null +++ b/apps/CortensorView/tailwind.config.js @@ -0,0 +1,8 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: ['./index.html', './src/**/*.{js,ts,jsx,tsx}'], + theme: { + extend: {}, + }, + plugins: [], +}; diff --git a/apps/CortensorView/tsconfig.app.json b/apps/CortensorView/tsconfig.app.json new file mode 100644 index 0000000..f0a2350 --- /dev/null +++ b/apps/CortensorView/tsconfig.app.json @@ -0,0 +1,24 @@ +{ + "compilerOptions": { + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "isolatedModules": true, + "moduleDetection": "force", + "noEmit": true, + "jsx": "react-jsx", + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true + }, + "include": ["src"] +} diff --git a/apps/CortensorView/tsconfig.json b/apps/CortensorView/tsconfig.json new file mode 100644 index 0000000..1ffef60 --- /dev/null +++ b/apps/CortensorView/tsconfig.json @@ -0,0 +1,7 @@ +{ + "files": [], + "references": [ + { "path": "./tsconfig.app.json" }, + { "path": "./tsconfig.node.json" } + ] +} diff --git a/apps/CortensorView/tsconfig.node.json b/apps/CortensorView/tsconfig.node.json new file mode 100644 index 0000000..0d3d714 --- /dev/null +++ b/apps/CortensorView/tsconfig.node.json @@ -0,0 +1,22 @@ +{ + "compilerOptions": { + "target": "ES2022", + "lib": ["ES2023"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "isolatedModules": true, + "moduleDetection": "force", + "noEmit": true, + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true + }, + "include": ["vite.config.ts"] +} diff --git a/apps/CortensorView/vite.config.ts b/apps/CortensorView/vite.config.ts new file mode 100644 index 0000000..4c4e6b1 --- /dev/null +++ b/apps/CortensorView/vite.config.ts @@ -0,0 +1,11 @@ +import { defineConfig } from 'vite'; +import react from '@vitejs/plugin-react'; + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [react()], + base: '/', + optimizeDeps: { + exclude: ['lucide-react'], + }, +});