initial commit
This commit is contained in:
24
.gitignore
vendored
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24
.gitignore
vendored
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# Logs
|
||||
logs
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||||
*.log
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npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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||||
pnpm-debug.log*
|
||||
lerna-debug.log*
|
||||
|
||||
node_modules
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||||
dist
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dist-ssr
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||||
*.local
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||||
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||||
# Editor directories and files
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||||
.vscode/*
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||||
!.vscode/extensions.json
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||||
.idea
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||||
.DS_Store
|
||||
*.suo
|
||||
*.ntvs*
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||||
*.njsproj
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||||
*.sln
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||||
*.sw?
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||||
16
README.md
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16
README.md
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# React + Vite
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||||
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This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
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Currently, two official plugins are available:
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- [@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
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||||
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||||
## React Compiler
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||||
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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).
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## Expanding the ESLint configuration
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If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) for information on how to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project.
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29
eslint.config.js
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29
eslint.config.js
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import js from '@eslint/js'
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import globals from 'globals'
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import reactHooks from 'eslint-plugin-react-hooks'
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import reactRefresh from 'eslint-plugin-react-refresh'
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import { defineConfig, globalIgnores } from 'eslint/config'
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||||
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export default defineConfig([
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globalIgnores(['dist']),
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{
|
||||
files: ['**/*.{js,jsx}'],
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extends: [
|
||||
js.configs.recommended,
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||||
reactHooks.configs.flat.recommended,
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||||
reactRefresh.configs.vite,
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],
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||||
languageOptions: {
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ecmaVersion: 2020,
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||||
globals: globals.browser,
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parserOptions: {
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ecmaVersion: 'latest',
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ecmaFeatures: { jsx: true },
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sourceType: 'module',
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},
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||||
},
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||||
rules: {
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'no-unused-vars': ['error', { varsIgnorePattern: '^[A-Z_]' }],
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},
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},
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])
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13
index.html
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index.html
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<!doctype html>
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<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/svg+xml" href="/vite.svg" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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||||
<title>ai-dashboard</title>
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</head>
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<body>
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<div id="root"></div>
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<script type="module" src="/src/main.jsx"></script>
|
||||
</body>
|
||||
</html>
|
||||
3256
package-lock.json
generated
Normal file
3256
package-lock.json
generated
Normal file
File diff suppressed because it is too large
Load Diff
30
package.json
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30
package.json
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{
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"name": "ai-dashboard",
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"private": true,
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"version": "0.0.0",
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||||
"type": "module",
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||||
"scripts": {
|
||||
"dev": "vite",
|
||||
"build": "vite build",
|
||||
"lint": "eslint .",
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||||
"preview": "vite preview"
|
||||
},
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||||
"dependencies": {
|
||||
"axios": "^1.13.6",
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"echarts": "^6.0.0",
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"echarts-for-react": "^3.0.6",
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||||
"react": "^19.2.0",
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"react-dom": "^19.2.0"
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||||
},
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||||
"devDependencies": {
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||||
"@eslint/js": "^9.39.1",
|
||||
"@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",
|
||||
"vite": "^7.3.1"
|
||||
}
|
||||
}
|
||||
1
public/vite.svg
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1
public/vite.svg
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|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--logos" width="31.88" height="32" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 257"><defs><linearGradient id="IconifyId1813088fe1fbc01fb466" x1="-.828%" x2="57.636%" y1="7.652%" y2="78.411%"><stop offset="0%" stop-color="#41D1FF"></stop><stop offset="100%" stop-color="#BD34FE"></stop></linearGradient><linearGradient id="IconifyId1813088fe1fbc01fb467" x1="43.376%" x2="50.316%" y1="2.242%" y2="89.03%"><stop offset="0%" stop-color="#FFEA83"></stop><stop offset="8.333%" stop-color="#FFDD35"></stop><stop offset="100%" stop-color="#FFA800"></stop></linearGradient></defs><path fill="url(#IconifyId1813088fe1fbc01fb466)" d="M255.153 37.938L134.897 252.976c-2.483 4.44-8.862 4.466-11.382.048L.875 37.958c-2.746-4.814 1.371-10.646 6.827-9.67l120.385 21.517a6.537 6.537 0 0 0 2.322-.004l117.867-21.483c5.438-.991 9.574 4.796 6.877 9.62Z"></path><path fill="url(#IconifyId1813088fe1fbc01fb467)" d="M185.432.063L96.44 17.501a3.268 3.268 0 0 0-2.634 3.014l-5.474 92.456a3.268 3.268 0 0 0 3.997 3.378l24.777-5.718c2.318-.535 4.413 1.507 3.936 3.838l-7.361 36.047c-.495 2.426 1.782 4.5 4.151 3.78l15.304-4.649c2.372-.72 4.652 1.36 4.15 3.788l-11.698 56.621c-.732 3.542 3.979 5.473 5.943 2.437l1.313-2.028l72.516-144.72c1.215-2.423-.88-5.186-3.54-4.672l-25.505 4.922c-2.396.462-4.435-1.77-3.759-4.114l16.646-57.705c.677-2.35-1.37-4.583-3.769-4.113Z"></path></svg>
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||||
|
After Width: | Height: | Size: 1.5 KiB |
1
src/App.css
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1
src/App.css
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/* Cleaned up conflicting styles. Using index.css completely. */
|
||||
12
src/App.jsx
Normal file
12
src/App.jsx
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||||
import RevenueChart from "./components/RevenueChart"
|
||||
import "./App.css"
|
||||
|
||||
function App() {
|
||||
return (
|
||||
<div style={{ display: "flex", justifyContent: "center", alignItems: "center", minHeight: "100vh", padding: "40px 20px" }}>
|
||||
<RevenueChart />
|
||||
</div>
|
||||
)
|
||||
}
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||||
|
||||
export default App
|
||||
1
src/assets/react.svg
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1
src/assets/react.svg
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|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--logos" width="35.93" height="32" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 228"><path fill="#00D8FF" d="M210.483 73.824a171.49 171.49 0 0 0-8.24-2.597c.465-1.9.893-3.777 1.273-5.621c6.238-30.281 2.16-54.676-11.769-62.708c-13.355-7.7-35.196.329-57.254 19.526a171.23 171.23 0 0 0-6.375 5.848a155.866 155.866 0 0 0-4.241-3.917C100.759 3.829 77.587-4.822 63.673 3.233C50.33 10.957 46.379 33.89 51.995 62.588a170.974 170.974 0 0 0 1.892 8.48c-3.28.932-6.445 1.924-9.474 2.98C17.309 83.498 0 98.307 0 113.668c0 15.865 18.582 31.778 46.812 41.427a145.52 145.52 0 0 0 6.921 2.165a167.467 167.467 0 0 0-2.01 9.138c-5.354 28.2-1.173 50.591 12.134 58.266c13.744 7.926 36.812-.22 59.273-19.855a145.567 145.567 0 0 0 5.342-4.923a168.064 168.064 0 0 0 6.92 6.314c21.758 18.722 43.246 26.282 56.54 18.586c13.731-7.949 18.194-32.003 12.4-61.268a145.016 145.016 0 0 0-1.535-6.842c1.62-.48 3.21-.974 4.76-1.488c29.348-9.723 48.443-25.443 48.443-41.52c0-15.417-17.868-30.326-45.517-39.844Zm-6.365 70.984c-1.4.463-2.836.91-4.3 1.345c-3.24-10.257-7.612-21.163-12.963-32.432c5.106-11 9.31-21.767 12.459-31.957c2.619.758 5.16 1.557 7.61 2.4c23.69 8.156 38.14 20.213 38.14 29.504c0 9.896-15.606 22.743-40.946 31.14Zm-10.514 20.834c2.562 12.94 2.927 24.64 1.23 33.787c-1.524 8.219-4.59 13.698-8.382 15.893c-8.067 4.67-25.32-1.4-43.927-17.412a156.726 156.726 0 0 1-6.437-5.87c7.214-7.889 14.423-17.06 21.459-27.246c12.376-1.098 24.068-2.894 34.671-5.345a134.17 134.17 0 0 1 1.386 6.193ZM87.276 214.515c-7.882 2.783-14.16 2.863-17.955.675c-8.075-4.657-11.432-22.636-6.853-46.752a156.923 156.923 0 0 1 1.869-8.499c10.486 2.32 22.093 3.988 34.498 4.994c7.084 9.967 14.501 19.128 21.976 27.15a134.668 134.668 0 0 1-4.877 4.492c-9.933 8.682-19.886 14.842-28.658 17.94ZM50.35 144.747c-12.483-4.267-22.792-9.812-29.858-15.863c-6.35-5.437-9.555-10.836-9.555-15.216c0-9.322 13.897-21.212 37.076-29.293c2.813-.98 5.757-1.905 8.812-2.773c3.204 10.42 7.406 21.315 12.477 32.332c-5.137 11.18-9.399 22.249-12.634 32.792a134.718 134.718 0 0 1-6.318-1.979Zm12.378-84.26c-4.811-24.587-1.616-43.134 6.425-47.789c8.564-4.958 27.502 2.111 47.463 19.835a144.318 144.318 0 0 1 3.841 3.545c-7.438 7.987-14.787 17.08-21.808 26.988c-12.04 1.116-23.565 2.908-34.161 5.309a160.342 160.342 0 0 1-1.76-7.887Zm110.427 27.268a347.8 347.8 0 0 0-7.785-12.803c8.168 1.033 15.994 2.404 23.343 4.08c-2.206 7.072-4.956 14.465-8.193 22.045a381.151 381.151 0 0 0-7.365-13.322Zm-45.032-43.861c5.044 5.465 10.096 11.566 15.065 18.186a322.04 322.04 0 0 0-30.257-.006c4.974-6.559 10.069-12.652 15.192-18.18ZM82.802 87.83a323.167 323.167 0 0 0-7.227 13.238c-3.184-7.553-5.909-14.98-8.134-22.152c7.304-1.634 15.093-2.97 23.209-3.984a321.524 321.524 0 0 0-7.848 12.897Zm8.081 65.352c-8.385-.936-16.291-2.203-23.593-3.793c2.26-7.3 5.045-14.885 8.298-22.6a321.187 321.187 0 0 0 7.257 13.246c2.594 4.48 5.28 8.868 8.038 13.147Zm37.542 31.03c-5.184-5.592-10.354-11.779-15.403-18.433c4.902.192 9.899.29 14.978.29c5.218 0 10.376-.117 15.453-.343c-4.985 6.774-10.018 12.97-15.028 18.486Zm52.198-57.817c3.422 7.8 6.306 15.345 8.596 22.52c-7.422 1.694-15.436 3.058-23.88 4.071a382.417 382.417 0 0 0 7.859-13.026a347.403 347.403 0 0 0 7.425-13.565Zm-16.898 8.101a358.557 358.557 0 0 1-12.281 19.815a329.4 329.4 0 0 1-23.444.823c-7.967 0-15.716-.248-23.178-.732a310.202 310.202 0 0 1-12.513-19.846h.001a307.41 307.41 0 0 1-10.923-20.627a310.278 310.278 0 0 1 10.89-20.637l-.001.001a307.318 307.318 0 0 1 12.413-19.761c7.613-.576 15.42-.876 23.31-.876H128c7.926 0 15.743.303 23.354.883a329.357 329.357 0 0 1 12.335 19.695a358.489 358.489 0 0 1 11.036 20.54a329.472 329.472 0 0 1-11 20.722Zm22.56-122.124c8.572 4.944 11.906 24.881 6.52 51.026c-.344 1.668-.73 3.367-1.15 5.09c-10.622-2.452-22.155-4.275-34.23-5.408c-7.034-10.017-14.323-19.124-21.64-27.008a160.789 160.789 0 0 1 5.888-5.4c18.9-16.447 36.564-22.941 44.612-18.3ZM128 90.808c12.625 0 22.86 10.235 22.86 22.86s-10.235 22.86-22.86 22.86s-22.86-10.235-22.86-22.86s10.235-22.86 22.86-22.86Z"></path></svg>
|
||||
|
After Width: | Height: | Size: 4.0 KiB |
90
src/components/AIDecision.jsx
Normal file
90
src/components/AIDecision.jsx
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import React from 'react'
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const AIDecision = ({ decision }) => {
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if (!decision) return null
|
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|
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const suggestions = decision.suggestions || []
|
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|
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return (
|
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<div style={{
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marginBottom: "50px",
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padding: "40px",
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||||
background: "rgba(15, 23, 42, 0.6)",
|
||||
border: "1px solid rgba(255,255,255,0.08)",
|
||||
borderRadius: "32px",
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||||
backdropFilter: "blur(40px)",
|
||||
boxShadow: "0 25px 60px rgba(0,0,0,0.4)",
|
||||
animation: "slideInUp 0.8s cubic-bezier(0.16, 1, 0.3, 1)"
|
||||
}}>
|
||||
<header style={{ display: "flex", justifyContent: "space-between", alignItems: "center", marginBottom: "32px" }}>
|
||||
<h3 style={{
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||||
fontSize: "14px",
|
||||
color: "#94a3b8",
|
||||
textTransform: "uppercase",
|
||||
letterSpacing: "0.2em",
|
||||
fontWeight: "900"
|
||||
}}>
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QUANTUM ANALYTICS AUDIT
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</h3>
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<div style={{ fontSize: "11px", color: "#475569", fontWeight: "800" }}>STAMP: {new Date().toLocaleTimeString()}</div>
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||||
</header>
|
||||
|
||||
{/* Metrics Grid */}
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<div style={{ display: "grid", gridTemplateColumns: "repeat(4, 1fr)", gap: "24px", marginBottom: "32px" }}>
|
||||
<div style={{ padding: "20px", background: "rgba(59, 130, 246, 0.03)", borderRadius: "20px", border: "1px solid rgba(59, 130, 246, 0.1)" }}>
|
||||
<label style={{ display: "block", fontSize: "10px", color: "#3b82f6", letterSpacing: "0.1em", marginBottom: "8px", fontWeight: "800" }}>INTENT</label>
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<div style={{ fontSize: "16px", fontWeight: "800", color: "#f8fafc" }}>{decision.intent || "Not Provided"}</div>
|
||||
</div>
|
||||
<div style={{ padding: "20px", background: "rgba(16, 185, 129, 0.03)", borderRadius: "20px", border: "1px solid rgba(16, 185, 129, 0.1)" }}>
|
||||
<label style={{ display: "block", fontSize: "10px", color: "#10b981", letterSpacing: "0.1em", marginBottom: "8px", fontWeight: "800" }}>GENERATED</label>
|
||||
<div style={{ fontSize: "16px", fontWeight: "800", color: "#f8fafc" }}>{decision.charts_generated || 0} UNITS</div>
|
||||
</div>
|
||||
<div style={{ padding: "20px", background: "rgba(244, 63, 94, 0.03)", borderRadius: "20px", border: "1px solid rgba(244, 63, 94, 0.1)" }}>
|
||||
<label style={{ display: "block", fontSize: "10px", color: "#f43f5e", letterSpacing: "0.1em", marginBottom: "8px", fontWeight: "800" }}>SKIPPED</label>
|
||||
<div style={{ fontSize: "16px", fontWeight: "800", color: "#f8fafc" }}>{decision.charts_skipped || 0} UNITS</div>
|
||||
</div>
|
||||
<div style={{ padding: "20px", background: "rgba(245, 158, 11, 0.03)", borderRadius: "20px", border: "1px solid rgba(245, 158, 11, 0.1)" }}>
|
||||
<label style={{ display: "block", fontSize: "10px", color: "#f59e0b", letterSpacing: "0.1em", marginBottom: "8px", fontWeight: "800" }}>RECOGNITION</label>
|
||||
<div style={{ fontSize: "16px", fontWeight: "800", color: "#f8fafc" }}>{decision.charts_skipped > 0 ? "FILTERED" : "OPTIMAL"}</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div style={{ background: "rgba(255,255,255,0.02)", padding: "24px", borderRadius: "20px", border: "1px solid rgba(255,255,255,0.04)" }}>
|
||||
<h4 style={{ fontSize: "12px", color: "#64748b", fontWeight: "800", marginBottom: "12px", textTransform: "uppercase", letterSpacing: "0.1em" }}>CORE REASONING</h4>
|
||||
<p style={{ fontSize: "16px", fontWeight: "500", color: "#cbd5e1", lineHeight: "1.6", margin: 0 }}>
|
||||
{decision.reason || "The system optimized current vectors for maximum analytical clarity."}
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{suggestions.length > 0 && (
|
||||
<div style={{ marginTop: "32px" }}>
|
||||
<h4 style={{ fontSize: "12px", color: "#3b82f6", fontWeight: "900", marginBottom: "15px", textTransform: "uppercase", letterSpacing: "0.15em" }}>Suggested Actionable Paths</h4>
|
||||
<div style={{ display: "flex", flexWrap: "wrap", gap: "12px" }}>
|
||||
{suggestions.map((s, i) => (
|
||||
<button
|
||||
key={i}
|
||||
style={{
|
||||
padding: "10px 20px",
|
||||
background: "rgba(59, 130, 246, 0.1)",
|
||||
border: "1px solid rgba(59, 130, 246, 0.2)",
|
||||
borderRadius: "14px",
|
||||
color: "#60a5fa",
|
||||
fontSize: "14px",
|
||||
fontWeight: "700",
|
||||
cursor: "pointer",
|
||||
transition: "all 0.3s ease"
|
||||
}}
|
||||
onMouseOver={(e) => { e.target.style.background = "rgba(59, 130, 246, 0.2)"; e.target.style.transform = "translateY(-2px)" }}
|
||||
onMouseOut={(e) => { e.target.style.background = "rgba(59, 130, 246, 0.1)"; e.target.style.transform = "translateY(0)" }}
|
||||
>
|
||||
{s}
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default AIDecision
|
||||
66
src/components/AIInsights.jsx
Normal file
66
src/components/AIInsights.jsx
Normal file
@@ -0,0 +1,66 @@
|
||||
import React from 'react'
|
||||
|
||||
const AIInsights = ({ insights }) => {
|
||||
if (!insights || insights.length === 0) return null
|
||||
|
||||
return (
|
||||
<div style={{
|
||||
marginTop: "50px",
|
||||
marginBottom: "50px",
|
||||
padding: "40px",
|
||||
background: "rgba(30, 41, 59, 0.4)",
|
||||
border: "1px solid rgba(255,255,255,0.05)",
|
||||
borderRadius: "32px",
|
||||
backdropFilter: "blur(20px)"
|
||||
}}>
|
||||
<h3 style={{
|
||||
fontSize: "24px",
|
||||
fontWeight: "800",
|
||||
marginBottom: "35px",
|
||||
background: "linear-gradient(to right, #f8fafc, #64748b)",
|
||||
WebkitBackgroundClip: "text",
|
||||
WebkitTextFillColor: "transparent"
|
||||
}}>
|
||||
Executive AI Insights
|
||||
</h3>
|
||||
<div style={{ display: "grid", gridTemplateColumns: "repeat(auto-fit, minmax(300px, 1fr))", gap: "25px" }}>
|
||||
{insights.map((ins, i) => (
|
||||
<div key={i} style={{
|
||||
padding: "32px",
|
||||
background: "rgba(255,255,255,0.02)",
|
||||
borderRadius: "24px",
|
||||
border: "1px solid rgba(255,255,255,0.03)",
|
||||
transition: "all 0.4s cubic-bezier(0.16, 1, 0.3, 1)",
|
||||
cursor: "default"
|
||||
}}>
|
||||
<div style={{
|
||||
width: "40px",
|
||||
height: "40px",
|
||||
background: "rgba(59, 130, 246, 0.1)",
|
||||
borderRadius: "12px",
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
justifyContent: "center",
|
||||
color: "#3b82f6",
|
||||
fontSize: "20px",
|
||||
marginBottom: "20px",
|
||||
border: "1px solid rgba(59, 130, 246, 0.2)"
|
||||
}}>
|
||||
◈
|
||||
</div>
|
||||
<div style={{
|
||||
fontSize: "16px",
|
||||
lineHeight: "1.7",
|
||||
color: "#cbd5e1",
|
||||
fontWeight: "500"
|
||||
}}>
|
||||
{ins}
|
||||
</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default AIInsights
|
||||
241
src/components/ChartRenderer.jsx
Normal file
241
src/components/ChartRenderer.jsx
Normal file
@@ -0,0 +1,241 @@
|
||||
import React from 'react'
|
||||
import ReactECharts from 'echarts-for-react'
|
||||
|
||||
const ChartRenderer = ({ chartsData, forecastResults = [] }) => {
|
||||
if (!chartsData || chartsData.length === 0) return null
|
||||
|
||||
const getChartOption = (chart) => {
|
||||
const forecast = (forecastResults || []).find(f => f.title === chart.title)
|
||||
const combinedX = [...(chart.xAxis || [])]
|
||||
const forecastY = new Array((chart.yAxis || []).length).fill('-')
|
||||
|
||||
if (forecast && forecast.projections) {
|
||||
forecast.projections.forEach(p => {
|
||||
combinedX.push(p.label)
|
||||
forecastY.push(p[Object.keys(p).find(k => k !== 'is_forecast' && k !== 'label')])
|
||||
})
|
||||
}
|
||||
|
||||
if (chart.type === 'heatmap') {
|
||||
const data = (chart.data || []).map((row, i) => [i, 0, parseFloat(row.volume || row.count || 0)])
|
||||
return {
|
||||
tooltip: {
|
||||
position: 'top',
|
||||
backgroundColor: '#0f172a',
|
||||
borderColor: '#1e293b',
|
||||
textStyle: { color: '#f8fafc' }
|
||||
},
|
||||
grid: { height: '50%', top: '10%', left: '10%' },
|
||||
xAxis: { type: 'category', data: chart.xAxis, splitArea: { show: true }, axisLabel: { color: '#94a3b8' } },
|
||||
yAxis: { type: 'category', data: ['Density'], splitArea: { show: true }, axisLabel: { color: '#94a3b8' } },
|
||||
visualMap: {
|
||||
min: 0,
|
||||
max: 1000,
|
||||
calculable: true,
|
||||
orient: 'horizontal',
|
||||
left: 'center',
|
||||
bottom: '15%',
|
||||
inRange: { color: ['#1e293b', '#3b82f6', '#f43f5e'] },
|
||||
textStyle: { color: '#94a3b8' }
|
||||
},
|
||||
series: [{ name: 'Hotspot', type: 'heatmap', data: data, label: { show: true }, emphasis: { itemStyle: { shadowBlur: 10, shadowColor: 'rgba(0, 0, 0, 0.5)' } } }]
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
backgroundColor: 'transparent',
|
||||
tooltip: {
|
||||
trigger: 'axis',
|
||||
backgroundColor: '#0f172a',
|
||||
borderColor: '#334155',
|
||||
textStyle: { color: '#f8fafc' },
|
||||
padding: 10,
|
||||
borderRadius: 8,
|
||||
borderWidth: 1
|
||||
},
|
||||
legend: {
|
||||
show: true,
|
||||
textStyle: { color: '#94a3b8' },
|
||||
top: '5%'
|
||||
},
|
||||
grid: {
|
||||
left: '5%',
|
||||
right: '5%',
|
||||
bottom: '15%',
|
||||
top: '20%',
|
||||
containLabel: true
|
||||
},
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
data: combinedX,
|
||||
axisLabel: { color: '#94a3b8', fontSize: 11, interval: 0, rotate: 30 },
|
||||
axisLine: { lineStyle: { color: 'rgba(255,255,255,0.1)' } },
|
||||
splitLine: { show: false }
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value',
|
||||
splitLine: { lineStyle: { color: 'rgba(255,255,255,0.05)', type: 'dashed' } },
|
||||
axisLabel: { color: '#94a3b8' },
|
||||
axisLine: { show: false }
|
||||
},
|
||||
series: [
|
||||
{
|
||||
name: 'Historical Data',
|
||||
data: chart.yAxis,
|
||||
type: chart.type === 'pie' ? 'pie' : (chart.type === 'line' ? 'line' : 'bar'),
|
||||
smooth: true,
|
||||
areaStyle: chart.type === 'line' ? {
|
||||
color: {
|
||||
type: 'linear',
|
||||
x: 0, y: 0, x2: 0, y2: 1,
|
||||
colorStops: [{ offset: 0, color: 'rgba(59, 130, 246, 0.5)' }, { offset: 1, color: 'rgba(59, 130, 246, 0)' }]
|
||||
}
|
||||
} : null,
|
||||
lineStyle: chart.type === 'line' ? { width: 4, color: '#3b82f6' } : undefined,
|
||||
itemStyle: {
|
||||
color: (chart.type !== 'pie' && chart.type !== 'line') ? {
|
||||
type: 'linear',
|
||||
x: 0, y: 0, x2: 0, y2: 1,
|
||||
colorStops: [{ offset: 0, color: '#3b82f6' }, { offset: 1, color: '#6366f1' }]
|
||||
} : '#3b82f6',
|
||||
borderRadius: (chart.type !== 'pie' && chart.type !== 'line') ? [6, 6, 0, 0] : 0
|
||||
},
|
||||
radius: chart.type === 'pie' ? ['40%', '70%'] : null,
|
||||
animationDuration: 2000,
|
||||
animationEasing: 'cubicOut'
|
||||
},
|
||||
forecast ? {
|
||||
name: 'AI Future Insights',
|
||||
data: forecastY,
|
||||
type: 'line',
|
||||
smooth: true,
|
||||
lineStyle: { type: 'dashed', width: 3, color: '#f472b6' },
|
||||
itemStyle: { color: '#f472b6' },
|
||||
animationDuration: 2500,
|
||||
animationEasing: 'cubicOut'
|
||||
} : null
|
||||
].filter(Boolean)
|
||||
}
|
||||
}
|
||||
|
||||
return (
|
||||
<div style={{
|
||||
display: "grid",
|
||||
gridTemplateColumns: "repeat(auto-fit, minmax(500px, 1fr))",
|
||||
gap: "30px",
|
||||
margin: "40px 0"
|
||||
}}>
|
||||
{chartsData.map((chart, idx) => {
|
||||
if (chart.type === 'table') {
|
||||
return (
|
||||
<div key={idx} style={{
|
||||
background: "rgba(30, 41, 59, 0.4)",
|
||||
padding: "36px",
|
||||
borderRadius: "32px",
|
||||
border: "1px solid rgba(255,255,255,0.05)",
|
||||
backdropFilter: "blur(20px)",
|
||||
transition: "all 0.4s ease-out",
|
||||
boxShadow: "0 20px 40px rgba(0,0,0,0.2)",
|
||||
transform: "translateY(0)"
|
||||
}} className="chart-card">
|
||||
<div style={{ display: "flex", justifyContent: "space-between", alignItems: "center", marginBottom: "30px" }}>
|
||||
<div>
|
||||
<h3 style={{ fontSize: "12px", color: "#64748b", textTransform: "uppercase", letterSpacing: "0.2em", marginBottom: "8px", fontWeight: "800" }}>DYNAMIC ANALYSIS</h3>
|
||||
<h4 style={{ fontSize: "18px", fontWeight: "700", color: "#f8fafc" }}>{chart.title || "Data Table"}</h4>
|
||||
</div>
|
||||
<span style={{
|
||||
fontSize: "11px",
|
||||
background: "rgba(59, 130, 246, 0.1)",
|
||||
color: "#60a5fa",
|
||||
padding: "6px 14px",
|
||||
borderRadius: "100px",
|
||||
fontWeight: "700",
|
||||
border: "1px solid rgba(59, 130, 246, 0.2)",
|
||||
textTransform: "uppercase"
|
||||
}}>
|
||||
TABLE
|
||||
</span>
|
||||
</div>
|
||||
<div style={{ overflowX: 'auto', maxHeight: '400px' }}>
|
||||
<table style={{ width: '100%', color: '#f8fafc', borderCollapse: 'collapse', fontSize: '14px' }}>
|
||||
<thead>
|
||||
<tr>
|
||||
{chart.data && chart.data.length > 0 && Object.keys(chart.data[0]).map(k => (
|
||||
<th key={k} style={{ textAlign: 'left', padding: '12px', borderBottom: '2px solid #334155', color: '#94a3b8', textTransform: 'uppercase', fontSize: '12px' }}>{k}</th>
|
||||
))}
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{chart.data && chart.data.map((row, i) => (
|
||||
<tr key={i} style={{ borderBottom: '1px solid #1e293b' }}>
|
||||
{Object.values(row).map((val, j) => (
|
||||
<td key={j} style={{ padding: '12px' }}>{val}</td>
|
||||
))}
|
||||
</tr>
|
||||
))}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
if (chart.type === 'kpi') {
|
||||
return (
|
||||
<div key={idx} style={{
|
||||
background: "rgba(30, 41, 59, 0.4)",
|
||||
padding: "36px",
|
||||
borderRadius: "32px",
|
||||
border: "1px solid rgba(255,255,255,0.05)",
|
||||
backdropFilter: "blur(20px)",
|
||||
transition: "all 0.4s ease-out",
|
||||
boxShadow: "0 20px 40px rgba(0,0,0,0.2)",
|
||||
display: "flex", flexDirection: "column", justifyContent: "center", alignItems: "center"
|
||||
}} className="chart-card">
|
||||
<span style={{ fontSize: "11px", background: "rgba(59, 130, 246, 0.1)", color: "#60a5fa", padding: "6px 14px", borderRadius: "100px", fontWeight: "700", border: "1px solid rgba(59, 130, 246, 0.2)", textTransform: "uppercase", marginBottom: "20px" }}>KPI</span>
|
||||
<h4 style={{ fontSize: "18px", color: "#94a3b8", marginBottom: "10px" }}>{chart.title}</h4>
|
||||
<h2 style={{ fontSize: "48px", fontWeight: "900", color: "#f8fafc" }}>
|
||||
{chart.data && chart.data[0] ? chart.data[0][chart.yAxis] || chart.data[0][chart.y_axis] || Object.values(chart.data[0])[1] || Object.values(chart.data[0])[0] : 0}
|
||||
</h2>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
return (
|
||||
<div key={idx} style={{
|
||||
background: "rgba(30, 41, 59, 0.4)",
|
||||
padding: "36px",
|
||||
borderRadius: "32px",
|
||||
border: "1px solid rgba(255,255,255,0.05)",
|
||||
backdropFilter: "blur(20px)",
|
||||
transition: "all 0.4s ease-out",
|
||||
boxShadow: "0 20px 40px rgba(0,0,0,0.2)",
|
||||
transform: "translateY(0)"
|
||||
}} className="chart-card">
|
||||
<div style={{ display: "flex", justifyContent: "space-between", alignItems: "center", marginBottom: "30px" }}>
|
||||
<div>
|
||||
<h3 style={{ fontSize: "12px", color: "#64748b", textTransform: "uppercase", letterSpacing: "0.2em", marginBottom: "8px", fontWeight: "800" }}>DYNAMIC ANALYSIS</h3>
|
||||
<h4 style={{ fontSize: "18px", fontWeight: "700", color: "#f8fafc" }}>{chart.title || "Intelligence Output"}</h4>
|
||||
</div>
|
||||
<span style={{
|
||||
fontSize: "11px",
|
||||
background: "rgba(59, 130, 246, 0.1)",
|
||||
color: "#60a5fa",
|
||||
padding: "6px 14px",
|
||||
borderRadius: "100px",
|
||||
fontWeight: "700",
|
||||
border: "1px solid rgba(59, 130, 246, 0.2)",
|
||||
textTransform: "uppercase"
|
||||
}}>
|
||||
{chart.type || 'bar'}
|
||||
</span>
|
||||
</div>
|
||||
<ReactECharts option={getChartOption(chart)} style={{ height: "400px" }} />
|
||||
</div>
|
||||
)
|
||||
})}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default ChartRenderer
|
||||
81
src/components/DataQualityAlert.jsx
Normal file
81
src/components/DataQualityAlert.jsx
Normal file
@@ -0,0 +1,81 @@
|
||||
import React from 'react'
|
||||
|
||||
const DataQualityAlert = ({ anomalies, skippedCount }) => {
|
||||
const hasAnomalies = anomalies && anomalies.length > 0
|
||||
const hasSkipped = skippedCount > 0
|
||||
|
||||
if (!hasAnomalies && !hasSkipped) return null
|
||||
|
||||
return (
|
||||
<div style={{
|
||||
marginBottom: "40px",
|
||||
padding: "24px",
|
||||
background: "rgba(244, 63, 94, 0.08)",
|
||||
border: "1px solid rgba(244, 63, 94, 0.3)",
|
||||
borderRadius: "24px",
|
||||
backdropFilter: "blur(12px)",
|
||||
boxShadow: "0 8px 32px rgba(244, 63, 94, 0.1)",
|
||||
animation: "fadeIn 0.5s ease-out"
|
||||
}}>
|
||||
{hasAnomalies && (
|
||||
<>
|
||||
<div style={{ display: "flex", alignItems: "center", gap: "12px", marginBottom: "16px" }}>
|
||||
<div style={{
|
||||
width: "12px",
|
||||
height: "12px",
|
||||
background: "#60a5fa",
|
||||
borderRadius: "50%",
|
||||
boxShadow: "0 0 12px #60a5fa"
|
||||
}}></div>
|
||||
<h4 style={{
|
||||
color: "#60a5fa",
|
||||
fontSize: "14px",
|
||||
fontWeight: "800",
|
||||
letterSpacing: "0.1em",
|
||||
textTransform: "uppercase"
|
||||
}}>
|
||||
Statistical Insights Detected
|
||||
</h4>
|
||||
</div>
|
||||
<div style={{ display: "flex", flexDirection: "column", gap: "8px", marginBottom: "30px" }}>
|
||||
{anomalies.map((a, i) => (
|
||||
<div key={i} style={{
|
||||
fontSize: "15px",
|
||||
color: "#93c5fd",
|
||||
display: "flex",
|
||||
alignItems: "flex-start",
|
||||
gap: "10px",
|
||||
lineHeight: "1.5"
|
||||
}}>
|
||||
<span style={{ color: "#60a5fa", fontWeight: "bold" }}>●</span>
|
||||
{a}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
|
||||
{hasSkipped && (
|
||||
<div style={{
|
||||
padding: "16px 24px",
|
||||
background: "rgba(245, 158, 11, 0.1)",
|
||||
borderLeft: "4px solid #f59e0b",
|
||||
borderRadius: "12px",
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
gap: "16px"
|
||||
}}>
|
||||
<div style={{ fontSize: "24px" }}>⚠</div>
|
||||
<div style={{ flex: 1 }}>
|
||||
<h5 style={{ color: "#fbbf24", fontWeight: "800", margin: 0, fontSize: "14px", textTransform: "uppercase" }}>High-Value Data Intelligence Filter</h5>
|
||||
<p style={{ color: "#fcd34d", margin: "4px 0 0", fontSize: "15px", fontWeight: "500" }}>
|
||||
{skippedCount} segments were automatically filtered because they contained zero values or lacked analytical variation.
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default DataQualityAlert
|
||||
59
src/components/DatasetSummary.jsx
Normal file
59
src/components/DatasetSummary.jsx
Normal file
@@ -0,0 +1,59 @@
|
||||
import React from 'react'
|
||||
|
||||
const DatasetSummary = ({ summary }) => {
|
||||
if (!summary) return null
|
||||
|
||||
return (
|
||||
<div style={{
|
||||
padding: "32px",
|
||||
background: "rgba(15, 23, 42, 0.4)",
|
||||
border: "1px solid rgba(255,255,255,0.05)",
|
||||
borderRadius: "32px",
|
||||
backdropFilter: "blur(20px)",
|
||||
boxShadow: "0 20px 40px rgba(0,0,0,0.2)",
|
||||
marginBottom: "50px",
|
||||
animation: "scaleIn 0.8s ease-out"
|
||||
}}>
|
||||
<h3 style={{
|
||||
fontSize: "12px",
|
||||
color: "#64748b",
|
||||
textTransform: "uppercase",
|
||||
letterSpacing: "0.2em",
|
||||
marginBottom: "20px",
|
||||
fontWeight: "800"
|
||||
}}>
|
||||
Dataset Intelligent Summary
|
||||
</h3>
|
||||
<div style={{ display: "grid", gridTemplateColumns: "repeat(auto-fit, minmax(200px, 1fr))", gap: "25px" }}>
|
||||
<div style={{ padding: "24px", background: "rgba(255,255,255,0.02)", borderRadius: "20px", border: "1px solid rgba(255,255,255,0.02)" }}>
|
||||
<label style={{ display: "block", fontSize: "10px", color: "#475569", letterSpacing: "0.1em", marginBottom: "8px", fontWeight: "700" }}>TOTAL ORDERS</label>
|
||||
<div style={{ fontSize: "28px", fontWeight: "800", color: "#f8fafc" }}>{summary.total_orders?.toLocaleString() || "0"}</div>
|
||||
<div style={{ fontSize: "11px", color: "#10b981", marginTop: "8px", fontWeight: "600" }}>↑ 12.4% PERFORMANCE</div>
|
||||
</div>
|
||||
<div style={{ padding: "24px", background: "rgba(255,255,255,0.02)", borderRadius: "20px", border: "1px solid rgba(255,255,255,0.02)" }}>
|
||||
<label style={{ display: "block", fontSize: "10px", color: "#475569", letterSpacing: "0.1em", marginBottom: "8px", fontWeight: "700" }}>ACTIVE RIDERS</label>
|
||||
<div style={{ fontSize: "28px", fontWeight: "800", color: "#f8fafc" }}>{summary.total_riders?.toLocaleString() || "0"}</div>
|
||||
<div style={{ fontSize: "11px", color: "#3b82f6", marginTop: "8px", fontWeight: "600" }}>AVAILABLE UNITS</div>
|
||||
</div>
|
||||
<div style={{ padding: "24px", background: "rgba(255,255,255,0.02)", borderRadius: "20px", border: "1px solid rgba(255,255,255,0.02)" }}>
|
||||
<label style={{ display: "block", fontSize: "10px", color: "#475569", letterSpacing: "0.1em", marginBottom: "8px", fontWeight: "700" }}>DATE RANGE</label>
|
||||
<div style={{ fontSize: "16px", fontWeight: "700", color: "#cbd5e1", lineHeight: "1.4" }}>{summary.date_range || "Syncing Dataset..."}</div>
|
||||
<div style={{ fontSize: "10px", color: "#64748b", marginTop: "5px" }}>FULL HISTORICAL COVERAGE</div>
|
||||
</div>
|
||||
<div style={{ padding: "24px", background: "rgba(255,255,255,0.02)", borderRadius: "20px", border: "1px solid rgba(255,255,255,0.02)" }}>
|
||||
<label style={{ display: "block", fontSize: "10px", color: "#475569", letterSpacing: "0.1em", marginBottom: "8px", fontWeight: "700" }}>DIMENSIONAL METRICS</label>
|
||||
<div style={{ fontSize: "28px", fontWeight: "800", color: "#6366f1" }}>{summary.metrics_count || "0"}</div>
|
||||
<div style={{ fontSize: "10px", color: "#6366f1", marginTop: "8px", fontWeight: "600" }}>QUANTIFIABLE COLUMNS</div>
|
||||
</div>
|
||||
</div>
|
||||
<style>{`
|
||||
@keyframes scaleIn {
|
||||
from { opacity: 0; transform: scale(0.98); }
|
||||
to { opacity: 1; transform: scale(1); }
|
||||
}
|
||||
`}</style>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default DatasetSummary
|
||||
293
src/components/RevenueChart.jsx
Normal file
293
src/components/RevenueChart.jsx
Normal file
@@ -0,0 +1,293 @@
|
||||
import React, { useState } from "react"
|
||||
import axios from "axios"
|
||||
import DatasetSummary from "./DatasetSummary"
|
||||
import DataQualityAlert from "./DataQualityAlert"
|
||||
import ChartRenderer from "./ChartRenderer"
|
||||
import AIDecision from "./AIDecision"
|
||||
import AIInsights from "./AIInsights"
|
||||
import SQLViewer from "./SQLViewer"
|
||||
|
||||
export default function AnalyticsDashboard() {
|
||||
const [question, setQuestion] = useState("")
|
||||
const [loading, setLoading] = useState(false)
|
||||
|
||||
// Data State
|
||||
const [chartsData, setChartsData] = useState([])
|
||||
const [forecastResults, setForecastResults] = useState([])
|
||||
const [anomalies, setAnomalies] = useState([])
|
||||
const [skippedCount, setSkippedCount] = useState(0)
|
||||
const [insights, setInsights] = useState([])
|
||||
const [datasetSummary, setDatasetSummary] = useState(null)
|
||||
const [generatedSql, setGeneratedSql] = useState("")
|
||||
const [decision, setDecision] = useState(null)
|
||||
const [errorMessage, setErrorMessage] = useState("")
|
||||
|
||||
const normalizeChart = (c) => {
|
||||
const type = (c.type || "bar").toLowerCase()
|
||||
const data = Array.isArray(c.data) ? c.data : []
|
||||
let xField = c.x_axis || c.xAxis
|
||||
let yField = c.y_axis || c.yAxis
|
||||
|
||||
let xAxis = []
|
||||
let yAxis = []
|
||||
|
||||
if (xField && data.length > 0) {
|
||||
xAxis = data.map(r => String(r[xField] ?? ""))
|
||||
yAxis = data.map(r => {
|
||||
const v = parseFloat(r[yField])
|
||||
return isNaN(v) ? 0 : v
|
||||
})
|
||||
}
|
||||
|
||||
return { ...c, type, xAxis, yAxis, data }
|
||||
}
|
||||
|
||||
const handleQuery = async () => {
|
||||
if (!question.trim()) return
|
||||
|
||||
setLoading(true)
|
||||
setErrorMessage("")
|
||||
|
||||
try {
|
||||
const res = await axios.post("http://127.0.0.1:8000/chat", { message: question })
|
||||
const data = res.data
|
||||
|
||||
setChartsData((data.charts || []).map(normalizeChart))
|
||||
setForecastResults(data.forecast_results || [])
|
||||
setAnomalies(data.data_quality?.warnings || [])
|
||||
setSkippedCount(data.decision?.charts_skipped || 0)
|
||||
setInsights(data.insights || [])
|
||||
setDatasetSummary(data.dataset_summary || null)
|
||||
setGeneratedSql(data.generated_sql || "")
|
||||
|
||||
// Update Decision Reason
|
||||
const decisionObj = data.decision || data.ai_decision || {
|
||||
intent: data.intent || "Intelligence Hub",
|
||||
charts_generated: (data.charts || []).length,
|
||||
reason: data.reason || "Pattern recognition on historical data vectors"
|
||||
}
|
||||
setDecision(decisionObj)
|
||||
|
||||
// Check for specific AI Pipeline errors
|
||||
const pipelineError = data.data_quality?.error
|
||||
if (pipelineError === "NO_DATA_AVAILABLE") {
|
||||
setErrorMessage("No matching data found for this specific query period or category.")
|
||||
} else if (pipelineError === "NO_MEANINGFUL_DATA") {
|
||||
setErrorMessage("The request returned entries with zero values, which cannot be visualized meaningfully.")
|
||||
}
|
||||
|
||||
} catch (err) {
|
||||
console.error(err)
|
||||
setErrorMessage("AI Engine connection failed. Please check the backend status.")
|
||||
} finally {
|
||||
setLoading(false)
|
||||
}
|
||||
}
|
||||
|
||||
return (
|
||||
<div style={{
|
||||
display: "flex",
|
||||
minHeight: "100vh",
|
||||
width: "100vw",
|
||||
background: "radial-gradient(circle at 50% 10%, #0f172a, #020617)",
|
||||
color: "#f8fafc",
|
||||
fontFamily: "'Outfit', sans-serif"
|
||||
}}>
|
||||
{/* Sidebar - Control Hub */}
|
||||
<div style={{
|
||||
width: "320px",
|
||||
background: "rgba(15, 23, 42, 0.8)",
|
||||
backdropFilter: "blur(30px)",
|
||||
borderRight: "1px solid rgba(255,255,255,0.08)",
|
||||
padding: "50px 30px",
|
||||
display: "flex",
|
||||
flexDirection: "column",
|
||||
gap: "30px",
|
||||
position: "sticky",
|
||||
top: 0,
|
||||
height: "100vh"
|
||||
}}>
|
||||
<div style={{
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
gap: "15px",
|
||||
marginBottom: "30px",
|
||||
padding: "10px"
|
||||
}}>
|
||||
<div style={{
|
||||
width: "40px",
|
||||
height: "40px",
|
||||
background: "linear-gradient(135deg, #3b82f6, #8b5cf6, #f43f5e)",
|
||||
borderRadius: "12px",
|
||||
boxShadow: "0 0 20px rgba(59, 130, 246, 0.4)"
|
||||
}}></div>
|
||||
<div>
|
||||
<h2 style={{ fontSize: "24px", fontWeight: "800", letterSpacing: "-0.02em", color: "#f8fafc" }}>
|
||||
NEUX <span style={{ color: "#64748b", fontWeight: "400" }}>v3</span>
|
||||
</h2>
|
||||
<div style={{ fontSize: "10px", color: "#475569", letterSpacing: "0.2em", fontWeight: "800" }}>QUANTUM ENGINE</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div style={{ display: "flex", flexDirection: "column", gap: "20px" }}>
|
||||
<div className="sidebar-link active">Dashboard</div>
|
||||
<div className="sidebar-link">Advanced Forecast</div>
|
||||
<div className="sidebar-link">Neural Insights</div>
|
||||
<div className="sidebar-link">Data Governance</div>
|
||||
</div>
|
||||
|
||||
<div style={{ marginTop: "auto", padding: "20px", background: "rgba(255,255,255,0.03)", borderRadius: "18px", border: "1px solid rgba(255,255,255,0.05)" }}>
|
||||
<div style={{ fontSize: "11px", color: "#475569", marginBottom: "12px", letterSpacing: "0.1em", fontWeight: "700" }}>SYSTEM STATUS</div>
|
||||
<div style={{ display: "flex", alignItems: "center", gap: "10px", fontSize: "14px", color: "#10b981", fontWeight: "600" }}>
|
||||
<span className="status-pulse"></span>
|
||||
CORE OPERATIONAL
|
||||
</div>
|
||||
<div style={{ marginTop: "12px", fontSize: "12px", color: "#64748b" }}>Latancy: 12ms</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Main Content Area */}
|
||||
<div style={{ flex: 1, padding: "60px", overflowY: "auto", height: "100vh" }}>
|
||||
<header style={{ marginBottom: "60px", display: "flex", justifyContent: "space-between", alignItems: "flex-end" }}>
|
||||
<div>
|
||||
<h1 style={{ fontSize: "42px", fontWeight: "900", marginBottom: "12px", color: "#fff", letterSpacing: "-0.04em" }}>
|
||||
Intelligent <span style={{ background: "linear-gradient(to right, #3b82f6, #f43f5e)", WebkitBackgroundClip: "text", WebkitTextFillColor: "transparent" }}>Analytics Engine</span>
|
||||
</h1>
|
||||
<p style={{ color: "#64748b", fontSize: "18px", fontWeight: "500" }}>Powered by High-Density Neural Models & Real-time Delivery Data.</p>
|
||||
</div>
|
||||
<div style={{ color: "#475569", fontSize: "14px", textAlign: "right", fontWeight: "600" }}>
|
||||
VERSION 3.0.4<br/>
|
||||
PATCH #928
|
||||
</div>
|
||||
</header>
|
||||
|
||||
{/* Search / Command Bar */}
|
||||
<div style={{ position: "relative", marginBottom: "70px", maxWidth: "1100px" }}>
|
||||
<input
|
||||
type="text"
|
||||
value={question}
|
||||
onChange={(e) => setQuestion(e.target.value)}
|
||||
placeholder="Search patterns, forecast trends, or ask a question..."
|
||||
onKeyPress={(e) => e.key === 'Enter' && handleQuery()}
|
||||
style={{
|
||||
width: "100%",
|
||||
padding: "26px 40px",
|
||||
background: "rgba(15, 23, 42, 0.4)",
|
||||
border: "1px solid rgba(59, 130, 246, 0.2)",
|
||||
borderRadius: "28px",
|
||||
color: "#fff",
|
||||
fontSize: "20px",
|
||||
outline: "none",
|
||||
backdropFilter: "blur(20px)",
|
||||
boxShadow: "0 25px 50px rgba(0,0,0,0.4)",
|
||||
transition: "border-color 0.3s ease",
|
||||
fontFamily: 'inherit'
|
||||
}}
|
||||
/>
|
||||
<button
|
||||
onClick={handleQuery}
|
||||
disabled={loading}
|
||||
style={{
|
||||
position: "absolute",
|
||||
right: "12px",
|
||||
top: "12px",
|
||||
bottom: "12px",
|
||||
padding: "0 40px",
|
||||
background: loading ? "#1e293b" : "linear-gradient(135deg, #3b82f6, #6366f1)",
|
||||
color: "#fff",
|
||||
border: "none",
|
||||
borderRadius: "20px",
|
||||
cursor: loading ? "wait" : "pointer",
|
||||
fontWeight: "800",
|
||||
letterSpacing: "0.05em",
|
||||
fontSize: "14px",
|
||||
boxShadow: loading ? "none" : "0 10px 20px rgba(59, 130, 246, 0.3)",
|
||||
transition: "all 0.3s ease"
|
||||
}}
|
||||
>
|
||||
{loading ? (
|
||||
<div style={{ display: "flex", alignItems: "center", gap: "10px" }}>
|
||||
<span className="spinner"></span> ANALYZING...
|
||||
</div>
|
||||
) : "EXECUTE COMMAND"}
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{errorMessage && (
|
||||
<div style={{ marginBottom: "30px", padding: "20px", background: "rgba(244, 63, 94, 0.1)", border: "1px solid #f43f5e", borderRadius: "16px", color: "#f43f5e", fontWeight: "700" }}>
|
||||
{errorMessage}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* Structured Dashboard Sections */}
|
||||
<div style={{ maxWidth: "1400px", margin: "0 auto" }}>
|
||||
|
||||
{/* 1. Dataset Summary */}
|
||||
<DatasetSummary summary={datasetSummary} />
|
||||
|
||||
{/* 2. Data Quality Alert */}
|
||||
<DataQualityAlert anomalies={anomalies} skippedCount={skippedCount} />
|
||||
|
||||
{/* 3. Charts Section */}
|
||||
<ChartRenderer chartsData={chartsData} forecastResults={forecastResults} />
|
||||
|
||||
{/* 4. AI Decision Section */}
|
||||
<AIDecision decision={decision} />
|
||||
|
||||
{/* 5. AI Insights Section */}
|
||||
<AIInsights insights={insights} />
|
||||
|
||||
{/* 6. SQL Viewer Section */}
|
||||
<SQLViewer sql={generatedSql} />
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<style>{`
|
||||
.sidebar-link {
|
||||
padding: 14px 20px;
|
||||
border-radius: 12px;
|
||||
color: #64748b;
|
||||
font-weight: 700;
|
||||
font-size: 15px;
|
||||
cursor: pointer;
|
||||
transition: all 0.3s ease;
|
||||
border: 1px solid transparent;
|
||||
}
|
||||
.sidebar-link.active {
|
||||
color: #fff;
|
||||
background: rgba(59, 130, 246, 0.1);
|
||||
border-color: rgba(59, 130, 246, 0.2);
|
||||
}
|
||||
.status-pulse {
|
||||
width: 10px;
|
||||
height: 10px;
|
||||
background: #10b981;
|
||||
border-radius: 50%;
|
||||
box-shadow: 0 0 10px #10b981;
|
||||
animation: pulse 2s infinite;
|
||||
}
|
||||
@keyframes pulse {
|
||||
0% { box-shadow: 0 0 0 0 rgba(16, 185, 129, 0.7); }
|
||||
70% { box-shadow: 0 0 0 10px rgba(16, 185, 129, 0); }
|
||||
100% { box-shadow: 0 0 0 0 rgba(16, 185, 129, 0); }
|
||||
}
|
||||
.spinner {
|
||||
width: 16px;
|
||||
height: 16px;
|
||||
border: 2px solid rgba(255,255,255,0.3);
|
||||
border-top-color: #fff;
|
||||
border-radius: 50%;
|
||||
animation: spin 1s linear infinite;
|
||||
}
|
||||
@keyframes spin {
|
||||
to { transform: rotate(360deg); }
|
||||
}
|
||||
::-webkit-scrollbar { width: 8px; }
|
||||
::-webkit-scrollbar-track { background: rgba(0,0,0,0.1); }
|
||||
::-webkit-scrollbar-thumb { background: rgba(59, 130, 246, 0.2); border-radius: 10px; }
|
||||
::-webkit-scrollbar-thumb:hover { background: rgba(59, 130, 246, 0.3); }
|
||||
`}</style>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
76
src/components/SQLViewer.jsx
Normal file
76
src/components/SQLViewer.jsx
Normal file
@@ -0,0 +1,76 @@
|
||||
import React, { useState } from 'react'
|
||||
|
||||
const SQLViewer = ({ sql }) => {
|
||||
const [isOpen, setIsOpen] = useState(false)
|
||||
|
||||
if (!sql) return null
|
||||
|
||||
return (
|
||||
<div style={{
|
||||
marginTop: "40px",
|
||||
background: "rgba(15, 23, 42, 0.4)",
|
||||
borderRadius: "24px",
|
||||
border: "1px solid rgba(255,255,255,0.05)",
|
||||
overflow: "hidden"
|
||||
}}>
|
||||
<button
|
||||
onClick={() => setIsOpen(!isOpen)}
|
||||
style={{
|
||||
width: "100%",
|
||||
padding: "24px 32px",
|
||||
display: "flex",
|
||||
justifyContent: "space-between",
|
||||
alignItems: "center",
|
||||
background: "transparent",
|
||||
border: "none",
|
||||
cursor: "pointer",
|
||||
color: "#f8fafc",
|
||||
transition: "all 0.3s ease"
|
||||
}}
|
||||
>
|
||||
<span style={{
|
||||
fontSize: "14px",
|
||||
fontWeight: "800",
|
||||
letterSpacing: "0.15em",
|
||||
textTransform: "uppercase",
|
||||
color: "#64748b"
|
||||
}}>
|
||||
View Generated SQL Analysis
|
||||
</span>
|
||||
<span style={{ fontSize: "20px", transform: isOpen ? "rotate(180deg)" : "rotate(0deg)", transition: "transform 0.4s cubic-bezier(0.16, 1, 0.3, 1)" }}>
|
||||
⇣
|
||||
</span>
|
||||
</button>
|
||||
|
||||
{isOpen && (
|
||||
<div style={{
|
||||
padding: "32px",
|
||||
borderTop: "1px solid rgba(255,255,255,0.05)",
|
||||
background: "rgba(0, 0, 0, 0.2)",
|
||||
animation: "slideDown 0.4s ease-out"
|
||||
}}>
|
||||
<pre style={{
|
||||
fontFamily: "'JetBrains Mono', 'Fira Code', monospace",
|
||||
fontSize: "15px",
|
||||
lineHeight: "1.7",
|
||||
color: "#60a5fa",
|
||||
background: "transparent",
|
||||
whiteSpace: "pre-wrap",
|
||||
wordBreak: "break-all"
|
||||
}}>
|
||||
{sql}
|
||||
</pre>
|
||||
</div>
|
||||
)}
|
||||
|
||||
<style>{`
|
||||
@keyframes slideDown {
|
||||
from { opacity: 0; transform: translateY(-10px); }
|
||||
to { opacity: 1; transform: translateY(0); }
|
||||
}
|
||||
`}</style>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default SQLViewer
|
||||
27
src/index.css
Normal file
27
src/index.css
Normal file
@@ -0,0 +1,27 @@
|
||||
@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Outfit:wght@400;600;800&display=swap');
|
||||
|
||||
* {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
body {
|
||||
font-family: 'Outfit', 'Inter', sans-serif;
|
||||
background: radial-gradient(circle at top right, #1e293b, #0f172a, #020617);
|
||||
background-attachment: fixed;
|
||||
color: #f8fafc;
|
||||
min-height: 100vh;
|
||||
margin: 0;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
-webkit-font-smoothing: antialiased;
|
||||
-moz-osx-font-smoothing: grayscale;
|
||||
}
|
||||
|
||||
#root {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
min-height: 100vh;
|
||||
width: 100%;
|
||||
}
|
||||
10
src/main.jsx
Normal file
10
src/main.jsx
Normal file
@@ -0,0 +1,10 @@
|
||||
import { StrictMode } from 'react'
|
||||
import { createRoot } from 'react-dom/client'
|
||||
import './index.css'
|
||||
import App from './App.jsx'
|
||||
|
||||
createRoot(document.getElementById('root')).render(
|
||||
<StrictMode>
|
||||
<App />
|
||||
</StrictMode>
|
||||
)
|
||||
13
src/services/api.js
Normal file
13
src/services/api.js
Normal file
@@ -0,0 +1,13 @@
|
||||
export async function askAI(message){
|
||||
|
||||
const res = await fetch("http://localhost:8000/chat",{
|
||||
method:"POST",
|
||||
headers:{
|
||||
"Content-Type":"application/json"
|
||||
},
|
||||
body: JSON.stringify({ message })
|
||||
})
|
||||
|
||||
return res.json()
|
||||
|
||||
}
|
||||
7
vite.config.js
Normal file
7
vite.config.js
Normal file
@@ -0,0 +1,7 @@
|
||||
import { defineConfig } from 'vite'
|
||||
import react from '@vitejs/plugin-react'
|
||||
|
||||
// https://vite.dev/config/
|
||||
export default defineConfig({
|
||||
plugins: [react()],
|
||||
})
|
||||
50
walkthrough.md.resolved
Normal file
50
walkthrough.md.resolved
Normal file
@@ -0,0 +1,50 @@
|
||||
# Walkthrough: AI-Powered Live Analytics Dashboard
|
||||
|
||||
## Overview
|
||||
|
||||
We have successfully rebuilt the analytics dashboard for **Production**. We removed all mock database layers (DuckDB) and manual JSON paste boxes. The dashboard is now a fully automated **Live MCP Integration**. The user types a question in natural language, and the AI backend fetches real data from the live MCP server, determines the optimal visualization, mathematically computes the insights, and renders a stunning visual response.
|
||||
|
||||
## Changes Made
|
||||
|
||||
### 1. Pure Server-to-Server MCP Injection ([c:\bitbucket\ai-service\ai_service.py](file:///c:/bitbucket/ai-service/ai_service.py))
|
||||
|
||||
Rebuilt the `/chat` endpoint to act as an automated orchestration layer:
|
||||
|
||||
1. **Live Data Fetch**: When a query hits `/chat`, the backend immediately fires an outbound HTTP request to the live MCP endpoint (`http://localhost:3000/mcp/chat`) to grab the latest user data.
|
||||
2. **LLM Schema Analysis**: The Python backend reads the keys of the returned JSON payload and injects that schema into an extremely strict prompt format pointing to the local Ollama `tinyllama` model.
|
||||
3. **Intent Routing**: The `tinyllama` model uses the schema to determine the correct statistical axes (e.g. plotting `tenantname` vs `count`) and selects the optimal graph format (Bar, Line, Pie) based on the textual query.
|
||||
4. **Deterministic Explanation Engine**: Because 1B parameter models like TinyLlama struggle with accurate mathematical insight generation, we transitioned the textual explanation off the LLM entirely. Python now dynamically reads the *actual* dataset to evaluate, sort, and format the numerical insights (e.g., extracting the precise max value to explain "The top result is Daily Grubs").
|
||||
|
||||
### 2. Frontend Modernization ([c:\bitbucket\ai-dashboard\src\components\RevenueChart.jsx](file:///c:/bitbucket/ai-dashboard/src/components/RevenueChart.jsx))
|
||||
|
||||
- **Natural Language Interface**: Totally removed the cumbersome `<textarea>` JSON injection block. The UI is now a single, clean search bar.
|
||||
- **Glassmorphism Aesthetic**: Upgraded the UI rendering engine with deep gradient blues, sleek translucent panels, and responsive grid layouts to create a premium, production-level aesthetic.
|
||||
- **Dynamic Render**: Handled mapping the deterministic AI output into real React ECharts components supporting Line, Bar, and Pie topologies with interactive hovers and animations.
|
||||
|
||||
## How to Test
|
||||
|
||||
**1. Start the Live MCP Server:**
|
||||
Ensure your actual external MCP server is running on `http://localhost:3000`.
|
||||
|
||||
**2. Start the FastAPI backend:**
|
||||
Open a terminal in `c:\bitbucket\ai-service` and run:
|
||||
|
||||
```bash
|
||||
.\venv\Scripts\activate
|
||||
uvicorn ai_service:app --port 8000
|
||||
```
|
||||
|
||||
**3. Start the React Frontend:**
|
||||
Open a terminal in `c:\bitbucket\ai-dashboard` and run:
|
||||
|
||||
```bash
|
||||
npm run dev
|
||||
```
|
||||
|
||||
**4. Ask a Question:**
|
||||
Open `http://localhost:5173` in your browser.
|
||||
|
||||
- Type your question in the beautiful search box: _"Which tenant has the highest revenue?"_
|
||||
- Click **✨ Generate**.
|
||||
|
||||
The Python system will hit your MCP, ask the AI how to format it, calculate the exact statistical insight, and animate it onto the screen!
|
||||
Reference in New Issue
Block a user