├── src
    ├── react-app-env.d.ts
    ├── setupTests.ts
    ├── App.test.tsx
    ├── Pointer.tsx
    ├── reportWebVitals.ts
    ├── index.css
    ├── index.tsx
    ├── App.css
    ├── App.tsx
    ├── logo.svg
    ├── PointerUtils.tsx
    ├── Text.tsx
    └── font.css
├── public
    ├── favicon.ico
    ├── logo192.png
    ├── logo512.png
    ├── robots.txt
    ├── manifest.json
    └── index.html
├── .gitignore
├── tsconfig.json
├── package.json
└── README.md


/src/react-app-env.d.ts:
--------------------------------------------------------------------------------
1 | /// <reference types="react-scripts" />
2 | 


--------------------------------------------------------------------------------
/public/favicon.ico:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/constraint-systems/zoom/main/public/favicon.ico


--------------------------------------------------------------------------------
/public/logo192.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/constraint-systems/zoom/main/public/logo192.png


--------------------------------------------------------------------------------
/public/logo512.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/constraint-systems/zoom/main/public/logo512.png


--------------------------------------------------------------------------------
/public/robots.txt:
--------------------------------------------------------------------------------
1 | # https://www.robotstxt.org/robotstxt.html
2 | User-agent: *
3 | Disallow:
4 | 


--------------------------------------------------------------------------------
/src/setupTests.ts:
--------------------------------------------------------------------------------
1 | // jest-dom adds custom jest matchers for asserting on DOM nodes.
2 | // allows you to do things like:
3 | // expect(element).toHaveTextContent(/react/i)
4 | // learn more: https://github.com/testing-library/jest-dom
5 | import '@testing-library/jest-dom';
6 | 


--------------------------------------------------------------------------------
/src/App.test.tsx:
--------------------------------------------------------------------------------
 1 | import React from 'react';
 2 | import { render, screen } from '@testing-library/react';
 3 | import App from './App';
 4 | 
 5 | test('renders learn react link', () => {
 6 |   render(<App />);
 7 |   const linkElement = screen.getByText(/learn react/i);
 8 |   expect(linkElement).toBeInTheDocument();
 9 | });
10 | 


--------------------------------------------------------------------------------
/src/Pointer.tsx:
--------------------------------------------------------------------------------
 1 | import React, { useEffect, useRef, useState } from "react";
 2 | import { UseWheelZoom, UsePointerPan } from "./PointerUtils";
 3 | 
 4 | function Pointer({ element, camera }: { element: any; camera: any }) {
 5 |   UseWheelZoom(element, camera);
 6 |   UsePointerPan(element, camera);
 7 | 
 8 |   return null;
 9 | }
10 | 
11 | export default Pointer;
12 | 


--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
 2 | 
 3 | # dependencies
 4 | /node_modules
 5 | /.pnp
 6 | .pnp.js
 7 | 
 8 | # testing
 9 | /coverage
10 | 
11 | # production
12 | /build
13 | 
14 | # misc
15 | .DS_Store
16 | .env.local
17 | .env.development.local
18 | .env.test.local
19 | .env.production.local
20 | 
21 | npm-debug.log*
22 | yarn-debug.log*
23 | yarn-error.log*
24 | 


--------------------------------------------------------------------------------
/src/reportWebVitals.ts:
--------------------------------------------------------------------------------
 1 | import { ReportHandler } from 'web-vitals';
 2 | 
 3 | const reportWebVitals = (onPerfEntry?: ReportHandler) => {
 4 |   if (onPerfEntry && onPerfEntry instanceof Function) {
 5 |     import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {
 6 |       getCLS(onPerfEntry);
 7 |       getFID(onPerfEntry);
 8 |       getFCP(onPerfEntry);
 9 |       getLCP(onPerfEntry);
10 |       getTTFB(onPerfEntry);
11 |     });
12 |   }
13 | };
14 | 
15 | export default reportWebVitals;
16 | 


--------------------------------------------------------------------------------
/src/index.css:
--------------------------------------------------------------------------------
 1 | html {
 2 |   background: #111;
 3 |   color: #fff;
 4 | }
 5 | 
 6 | body {
 7 |   margin: 0;
 8 |   font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen",
 9 |     "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue",
10 |     sans-serif;
11 |   -webkit-font-smoothing: antialiased;
12 |   -moz-osx-font-smoothing: grayscale;
13 | }
14 | 
15 | code {
16 |   font-family: source-code-pro, Menlo, Monaco, Consolas, "Courier New",
17 |     monospace;
18 | }
19 | 
20 | canvas {
21 |   display: block;
22 | }
23 | 


--------------------------------------------------------------------------------
/src/index.tsx:
--------------------------------------------------------------------------------
 1 | import React from 'react';
 2 | import ReactDOM from 'react-dom';
 3 | import './index.css';
 4 | import App from './App';
 5 | import reportWebVitals from './reportWebVitals';
 6 | 
 7 | ReactDOM.render(
 8 |   <React.StrictMode>
 9 |     <App />
10 |   </React.StrictMode>,
11 |   document.getElementById('root')
12 | );
13 | 
14 | // If you want to start measuring performance in your app, pass a function
15 | // to log results (for example: reportWebVitals(console.log))
16 | // or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals
17 | reportWebVitals();
18 | 


--------------------------------------------------------------------------------
/public/manifest.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "short_name": "React App",
 3 |   "name": "Create React App Sample",
 4 |   "icons": [
 5 |     {
 6 |       "src": "favicon.ico",
 7 |       "sizes": "64x64 32x32 24x24 16x16",
 8 |       "type": "image/x-icon"
 9 |     },
10 |     {
11 |       "src": "logo192.png",
12 |       "type": "image/png",
13 |       "sizes": "192x192"
14 |     },
15 |     {
16 |       "src": "logo512.png",
17 |       "type": "image/png",
18 |       "sizes": "512x512"
19 |     }
20 |   ],
21 |   "start_url": ".",
22 |   "display": "standalone",
23 |   "theme_color": "#000000",
24 |   "background_color": "#ffffff"
25 | }
26 | 


--------------------------------------------------------------------------------
/tsconfig.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "compilerOptions": {
 3 |     "target": "es5",
 4 |     "lib": [
 5 |       "dom",
 6 |       "dom.iterable",
 7 |       "esnext"
 8 |     ],
 9 |     "allowJs": true,
10 |     "skipLibCheck": true,
11 |     "esModuleInterop": true,
12 |     "allowSyntheticDefaultImports": true,
13 |     "strict": true,
14 |     "forceConsistentCasingInFileNames": true,
15 |     "noFallthroughCasesInSwitch": true,
16 |     "module": "esnext",
17 |     "moduleResolution": "node",
18 |     "resolveJsonModule": true,
19 |     "isolatedModules": true,
20 |     "noEmit": true,
21 |     "jsx": "react-jsx"
22 |   },
23 |   "include": [
24 |     "src"
25 |   ]
26 | }
27 | 


--------------------------------------------------------------------------------
/src/App.css:
--------------------------------------------------------------------------------
 1 | .App {
 2 |   text-align: center;
 3 | }
 4 | 
 5 | .App-logo {
 6 |   height: 40vmin;
 7 |   pointer-events: none;
 8 | }
 9 | 
10 | @media (prefers-reduced-motion: no-preference) {
11 |   .App-logo {
12 |     animation: App-logo-spin infinite 20s linear;
13 |   }
14 | }
15 | 
16 | .App-header {
17 |   background-color: #282c34;
18 |   min-height: 100vh;
19 |   display: flex;
20 |   flex-direction: column;
21 |   align-items: center;
22 |   justify-content: center;
23 |   font-size: calc(10px + 2vmin);
24 |   color: white;
25 | }
26 | 
27 | .App-link {
28 |   color: #61dafb;
29 | }
30 | 
31 | @keyframes App-logo-spin {
32 |   from {
33 |     transform: rotate(0deg);
34 |   }
35 |   to {
36 |     transform: rotate(360deg);
37 |   }
38 | }
39 | 


--------------------------------------------------------------------------------
/package.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "name": "zoom",
 3 |   "version": "0.1.0",
 4 |   "private": true,
 5 |   "dependencies": {
 6 |     "@testing-library/jest-dom": "^5.11.4",
 7 |     "@testing-library/react": "^11.1.0",
 8 |     "@testing-library/user-event": "^12.1.10",
 9 |     "@types/jest": "^26.0.15",
10 |     "@types/node": "^12.0.0",
11 |     "@types/react": "^17.0.0",
12 |     "@types/react-dom": "^17.0.0",
13 |     "@types/three": "^0.134.0",
14 |     "react": "^17.0.2",
15 |     "react-dom": "^17.0.2",
16 |     "react-scripts": "4.0.3",
17 |     "three": "^0.135.0",
18 |     "typescript": "^4.1.2",
19 |     "web-vitals": "^1.0.1"
20 |   },
21 |   "scripts": {
22 |     "start": "react-scripts start",
23 |     "build": "react-scripts build",
24 |     "test": "react-scripts test",
25 |     "eject": "react-scripts eject"
26 |   },
27 |   "eslintConfig": {
28 |     "extends": [
29 |       "react-app",
30 |       "react-app/jest"
31 |     ]
32 |   },
33 |   "browserslist": {
34 |     "production": [
35 |       ">0.2%",
36 |       "not dead",
37 |       "not op_mini all"
38 |     ],
39 |     "development": [
40 |       "last 1 chrome version",
41 |       "last 1 firefox version",
42 |       "last 1 safari version"
43 |     ]
44 |   }
45 | }
46 | 


--------------------------------------------------------------------------------
/public/index.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 |   <head>
 4 |     <meta charset="utf-8" />
 5 |     <link rel="icon" href="%PUBLIC_URL%/favicon.ico" />
 6 |     <meta name="viewport" content="width=device-width, initial-scale=1" />
 7 |     <meta name="theme-color" content="#000000" />
 8 |     <meta
 9 |       name="description"
10 |       content="Web site created using create-react-app"
11 |     />
12 |     <link rel="apple-touch-icon" href="%PUBLIC_URL%/logo192.png" />
13 |     <!--
14 |       manifest.json provides metadata used when your web app is installed on a
15 |       user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/
16 |     -->
17 |     <link rel="manifest" href="%PUBLIC_URL%/manifest.json" />
18 |     <!--
19 |       Notice the use of %PUBLIC_URL% in the tags above.
20 |       It will be replaced with the URL of the `public` folder during the build.
21 |       Only files inside the `public` folder can be referenced from the HTML.
22 | 
23 |       Unlike "/favicon.ico" or "favicon.ico", "%PUBLIC_URL%/favicon.ico" will
24 |       work correctly both with client-side routing and a non-root public URL.
25 |       Learn how to configure a non-root public URL by running `npm run build`.
26 |     -->
27 |     <title>React App</title>
28 |   </head>
29 |   <body>
30 |     <noscript>You need to enable JavaScript to run this app.</noscript>
31 |     <div id="root"></div>
32 |     <!--
33 |       This HTML file is a template.
34 |       If you open it directly in the browser, you will see an empty page.
35 | 
36 |       You can add webfonts, meta tags, or analytics to this file.
37 |       The build step will place the bundled scripts into the <body> tag.
38 | 
39 |       To begin the development, run `npm start` or `yarn start`.
40 |       To create a production bundle, use `npm run build` or `yarn build`.
41 |     -->
42 |   </body>
43 | </html>
44 | 


--------------------------------------------------------------------------------
/src/App.tsx:
--------------------------------------------------------------------------------
 1 | import { useEffect, useRef, useState } from "react";
 2 | import "./font.css";
 3 | import * as THREE from "three";
 4 | import Pointer from "./Pointer";
 5 | import Text from "./Text";
 6 | 
 7 | function App() {
 8 |   const [loaded, setLoaded] = useState(false);
 9 |   const canvasRef = useRef<HTMLCanvasElement | null>(null);
10 |   const rendererRef = useRef<THREE.WebGLRenderer | null>(null);
11 |   const cameraRef = useRef<THREE.PerspectiveCamera | null>(null);
12 | 
13 |   useEffect(() => {
14 |     const canvas = canvasRef.current!;
15 |     canvas.width = window.innerWidth;
16 |     canvas.height = window.innerHeight;
17 | 
18 |     const scene = new THREE.Scene();
19 |     const camera = new THREE.PerspectiveCamera(
20 |       75,
21 |       window.innerWidth / window.innerHeight,
22 |       0.1,
23 |       1000
24 |     );
25 |     cameraRef.current = camera;
26 | 
27 |     const renderer = new THREE.WebGLRenderer({ canvas });
28 |     renderer.setPixelRatio(window.devicePixelRatio);
29 |     rendererRef.current = renderer;
30 | 
31 |     const geometry = new THREE.PlaneGeometry();
32 |     const material = new THREE.MeshBasicMaterial({ color: 0x00ff00 });
33 |     const cube = new THREE.Mesh(geometry, material);
34 |     scene.add(cube);
35 |     cube.visible = false;
36 | 
37 |     camera.position.z = 5;
38 | 
39 |     const text = new Text(scene, camera);
40 | 
41 |     function animate() {
42 |       // if (camera.position.z > 3) {
43 |       //   text.visible = true;
44 |       // } else {
45 |       //   text.visible = false;
46 |       // }
47 |       // @ts-ignore
48 |       text.material.uniforms.z.value = camera.position.z;
49 |       requestAnimationFrame(animate);
50 |       renderer.render(scene, camera);
51 |     }
52 |     animate();
53 |   }, []);
54 | 
55 |   useEffect(() => {
56 |     document.fonts.load('16px "custom"').then(() => {
57 |       setLoaded(true);
58 |     });
59 |   }, []);
60 | 
61 |   return (
62 |     <canvas ref={canvasRef}>
63 |       {loaded ? (
64 |         <Pointer
65 |           element={rendererRef.current!.context.canvas}
66 |           camera={cameraRef.current}
67 |         />
68 |       ) : null}
69 |     </canvas>
70 |   );
71 | }
72 | 
73 | export default App;
74 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # Getting Started with Create React App
 2 | 
 3 | This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
 4 | 
 5 | ## Available Scripts
 6 | 
 7 | In the project directory, you can run:
 8 | 
 9 | ### `yarn start`
10 | 
11 | Runs the app in the development mode.\
12 | Open [http://localhost:3000](http://localhost:3000) to view it in the browser.
13 | 
14 | The page will reload if you make edits.\
15 | You will also see any lint errors in the console.
16 | 
17 | ### `yarn test`
18 | 
19 | Launches the test runner in the interactive watch mode.\
20 | See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
21 | 
22 | ### `yarn build`
23 | 
24 | Builds the app for production to the `build` folder.\
25 | It correctly bundles React in production mode and optimizes the build for the best performance.
26 | 
27 | The build is minified and the filenames include the hashes.\
28 | Your app is ready to be deployed!
29 | 
30 | See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
31 | 
32 | ### `yarn eject`
33 | 
34 | **Note: this is a one-way operation. Once you `eject`, you can’t go back!**
35 | 
36 | If you aren’t satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
37 | 
38 | Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
39 | 
40 | You don’t have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
41 | 
42 | ## Learn More
43 | 
44 | You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
45 | 
46 | To learn React, check out the [React documentation](https://reactjs.org/).
47 | 


--------------------------------------------------------------------------------
/src/logo.svg:
--------------------------------------------------------------------------------
1 | <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 841.9 595.3"><g fill="#61DAFB"><path d="M666.3 296.5c0-32.5-40.7-63.3-103.1-82.4 14.4-63.6 8-114.2-20.2-130.4-6.5-3.8-14.1-5.6-22.4-5.6v22.3c4.6 0 8.3.9 11.4 2.6 13.6 7.8 19.5 37.5 14.9 75.7-1.1 9.4-2.9 19.3-5.1 29.4-19.6-4.8-41-8.5-63.5-10.9-13.5-18.5-27.5-35.3-41.6-50 32.6-30.3 63.2-46.9 84-46.9V78c-27.5 0-63.5 19.6-99.9 53.6-36.4-33.8-72.4-53.2-99.9-53.2v22.3c20.7 0 51.4 16.5 84 46.6-14 14.7-28 31.4-41.3 49.9-22.6 2.4-44 6.1-63.6 11-2.3-10-4-19.7-5.2-29-4.7-38.2 1.1-67.9 14.6-75.8 3-1.8 6.9-2.6 11.5-2.6V78.5c-8.4 0-16 1.8-22.6 5.6-28.1 16.2-34.4 66.7-19.9 130.1-62.2 19.2-102.7 49.9-102.7 82.3 0 32.5 40.7 63.3 103.1 82.4-14.4 63.6-8 114.2 20.2 130.4 6.5 3.8 14.1 5.6 22.5 5.6 27.5 0 63.5-19.6 99.9-53.6 36.4 33.8 72.4 53.2 99.9 53.2 8.4 0 16-1.8 22.6-5.6 28.1-16.2 34.4-66.7 19.9-130.1 62-19.1 102.5-49.9 102.5-82.3zm-130.2-66.7c-3.7 12.9-8.3 26.2-13.5 39.5-4.1-8-8.4-16-13.1-24-4.6-8-9.5-15.8-14.4-23.4 14.2 2.1 27.9 4.7 41 7.9zm-45.8 106.5c-7.8 13.5-15.8 26.3-24.1 38.2-14.9 1.3-30 2-45.2 2-15.1 0-30.2-.7-45-1.9-8.3-11.9-16.4-24.6-24.2-38-7.6-13.1-14.5-26.4-20.8-39.8 6.2-13.4 13.2-26.8 20.7-39.9 7.8-13.5 15.8-26.3 24.1-38.2 14.9-1.3 30-2 45.2-2 15.1 0 30.2.7 45 1.9 8.3 11.9 16.4 24.6 24.2 38 7.6 13.1 14.5 26.4 20.8 39.8-6.3 13.4-13.2 26.8-20.7 39.9zm32.3-13c5.4 13.4 10 26.8 13.8 39.8-13.1 3.2-26.9 5.9-41.2 8 4.9-7.7 9.8-15.6 14.4-23.7 4.6-8 8.9-16.1 13-24.1zM421.2 430c-9.3-9.6-18.6-20.3-27.8-32 9 .4 18.2.7 27.5.7 9.4 0 18.7-.2 27.8-.7-9 11.7-18.3 22.4-27.5 32zm-74.4-58.9c-14.2-2.1-27.9-4.7-41-7.9 3.7-12.9 8.3-26.2 13.5-39.5 4.1 8 8.4 16 13.1 24 4.7 8 9.5 15.8 14.4 23.4zM420.7 163c9.3 9.6 18.6 20.3 27.8 32-9-.4-18.2-.7-27.5-.7-9.4 0-18.7.2-27.8.7 9-11.7 18.3-22.4 27.5-32zm-74 58.9c-4.9 7.7-9.8 15.6-14.4 23.7-4.6 8-8.9 16-13 24-5.4-13.4-10-26.8-13.8-39.8 13.1-3.1 26.9-5.8 41.2-7.9zm-90.5 125.2c-35.4-15.1-58.3-34.9-58.3-50.6 0-15.7 22.9-35.6 58.3-50.6 8.6-3.7 18-7 27.7-10.1 5.7 19.6 13.2 40 22.5 60.9-9.2 20.8-16.6 41.1-22.2 60.6-9.9-3.1-19.3-6.5-28-10.2zM310 490c-13.6-7.8-19.5-37.5-14.9-75.7 1.1-9.4 2.9-19.3 5.1-29.4 19.6 4.8 41 8.5 63.5 10.9 13.5 18.5 27.5 35.3 41.6 50-32.6 30.3-63.2 46.9-84 46.9-4.5-.1-8.3-1-11.3-2.7zm237.2-76.2c4.7 38.2-1.1 67.9-14.6 75.8-3 1.8-6.9 2.6-11.5 2.6-20.7 0-51.4-16.5-84-46.6 14-14.7 28-31.4 41.3-49.9 22.6-2.4 44-6.1 63.6-11 2.3 10.1 4.1 19.8 5.2 29.1zm38.5-66.7c-8.6 3.7-18 7-27.7 10.1-5.7-19.6-13.2-40-22.5-60.9 9.2-20.8 16.6-41.1 22.2-60.6 9.9 3.1 19.3 6.5 28.1 10.2 35.4 15.1 58.3 34.9 58.3 50.6-.1 15.7-23 35.6-58.4 50.6zM320.8 78.4z"/><circle cx="420.9" cy="296.5" r="45.7"/><path d="M520.5 78.1z"/></g></svg>


--------------------------------------------------------------------------------
/src/PointerUtils.tsx:
--------------------------------------------------------------------------------
  1 | import React, { useEffect, useRef } from "react";
  2 | import * as THREE from "three";
  3 | 
  4 | export const UseWheelZoom = (element: any, camera: THREE.PerspectiveCamera) => {
  5 |   const cameraDown = useRef(new THREE.Vector3());
  6 | 
  7 |   useEffect(() => {
  8 |     const handleMousewheel = (e: WheelEvent) => {
  9 |       e.preventDefault();
 10 |       const width = element.clientWidth;
 11 |       const height = element.clientHeight;
 12 | 
 13 |       cameraDown.current.copy(camera.position);
 14 | 
 15 |       const percent = (height - e.deltaY) / height;
 16 |       const nextZoom = Math.min(32, Math.max(1, camera.position.z / percent));
 17 | 
 18 |       const visibleHeight =
 19 |         2 * Math.tan((camera.fov * Math.PI) / 360) * cameraDown.current.z;
 20 |       const zoomPixel = visibleHeight / height;
 21 |       const relx = e.clientX - element.offsetLeft - width / 2;
 22 |       const rely = -(e.clientY - element.offsetTop - height / 2);
 23 |       const worldRelX = relx * zoomPixel;
 24 |       const worldRelY = rely * zoomPixel;
 25 | 
 26 |       const newVisibleHeight =
 27 |         2 * Math.tan((camera.fov * Math.PI) / 360) * nextZoom;
 28 |       const newZoomPixel = newVisibleHeight / height;
 29 | 
 30 |       const newWorldX = relx * newZoomPixel;
 31 |       const newWorldY = rely * newZoomPixel;
 32 | 
 33 |       const diffX = newWorldX - worldRelX;
 34 |       const diffY = newWorldY - worldRelY;
 35 | 
 36 |       camera.position.x = cameraDown.current.x - diffX;
 37 |       camera.position.y = cameraDown.current.y - diffY;
 38 |       camera.position.z = nextZoom;
 39 |     };
 40 | 
 41 |     element.addEventListener("wheel", handleMousewheel, {
 42 |       passive: false,
 43 |     });
 44 |     return () => {
 45 |       element.removeEventListener("wheel", handleMousewheel);
 46 |     };
 47 |   }, [element, camera]);
 48 | };
 49 | 
 50 | type PointerType = {
 51 |   id: number;
 52 |   x: number;
 53 |   y: number;
 54 |   pointerDown: [number, number];
 55 |   primary: boolean;
 56 | };
 57 | 
 58 | export const UsePointerPan = (element: any, camera: any) => {
 59 |   const cameraDown = useRef(new THREE.Vector3());
 60 |   const diff = useRef(new THREE.Vector2());
 61 |   const pointersRef = useRef<PointerType[]>([]);
 62 | 
 63 |   useEffect(() => {
 64 |     const pointers = pointersRef.current;
 65 | 
 66 |     const handlePointerDown = (e: PointerEvent) => {
 67 |       e.preventDefault();
 68 | 
 69 |       pointers.push({
 70 |         id: e.pointerId,
 71 |         x: e.clientX - element.offsetLeft,
 72 |         y: e.clientY - element.offsetTop,
 73 |         pointerDown: [
 74 |           e.clientX - element.offsetLeft,
 75 |           e.clientY - element.offsetTop,
 76 |         ],
 77 |         primary: e.isPrimary,
 78 |       });
 79 |       for (const pointer of pointers) {
 80 |         pointer.pointerDown = [pointer.x, pointer.y];
 81 |       }
 82 |       cameraDown.current.copy(camera.position);
 83 | 
 84 |       element.setPointerCapture(e.pointerId);
 85 |     };
 86 | 
 87 |     const handlePointerMove = (e: PointerEvent) => {
 88 |       e.preventDefault();
 89 |       const width = element.clientWidth;
 90 |       const height = element.clientHeight;
 91 | 
 92 |       if (pointers.length === 1) {
 93 |         const pointer = pointers[0];
 94 |         pointer.x = e.clientX - element.offsetLeft;
 95 |         pointer.y = e.clientY - element.offsetTop;
 96 |         const visibleHeight =
 97 |           2 * Math.tan((camera.fov * Math.PI) / 360) * cameraDown.current.z;
 98 |         const zoomPixel = visibleHeight / height;
 99 |         diff.current.x =
100 |           (e.clientX - element.offsetLeft - pointer.pointerDown[0]) * zoomPixel;
101 |         diff.current.y =
102 |           (e.clientY - element.offsetTop - pointer.pointerDown[1]) * zoomPixel;
103 |         camera.position.x = cameraDown.current.x - diff.current.x;
104 |         camera.position.y = cameraDown.current.y + diff.current.y;
105 |       } else if (pointers.length === 2) {
106 |         const pointer = pointers.filter((p) => p.id === e.pointerId)[0];
107 |         pointer.x = e.clientX - element.offsetLeft;
108 |         pointer.y = e.clientY - element.offsetTop;
109 | 
110 |         const a = pointers[0];
111 |         const b = pointers[1];
112 |         const minDown = [
113 |           Math.min(a.pointerDown[0], b.pointerDown[0]),
114 |           Math.min(a.pointerDown[1], b.pointerDown[1]),
115 |         ];
116 |         const maxDown = [
117 |           Math.max(a.pointerDown[0], b.pointerDown[0]),
118 |           Math.max(a.pointerDown[1], b.pointerDown[1]),
119 |         ];
120 |         const min = [Math.min(a.x, b.x), Math.min(a.y, b.y)];
121 |         const max = [Math.max(a.x, b.x), Math.max(a.y, b.y)];
122 |         const combined = {
123 |           down: [
124 |             minDown[0] + (maxDown[0] - minDown[0]) / 2,
125 |             minDown[1] + (maxDown[1] - minDown[1]) / 2,
126 |           ],
127 |           current: [
128 |             min[0] + (max[0] - min[0]) / 2,
129 |             min[1] + (max[1] - min[1]) / 2,
130 |           ],
131 |         };
132 | 
133 |         const visibleHeight =
134 |           2 * Math.tan((camera.fov * Math.PI) / 360) * cameraDown.current.z;
135 |         const zoomPixel = visibleHeight / height;
136 | 
137 |         const dragged = [
138 |           (combined.current[0] - combined.down[0]) * zoomPixel,
139 |           (combined.current[1] - combined.down[1]) * zoomPixel,
140 |         ];
141 | 
142 |         const adjustedDown = new THREE.Vector3();
143 |         adjustedDown.x = cameraDown.current.x - dragged[0];
144 |         adjustedDown.y = cameraDown.current.y + dragged[1];
145 | 
146 |         const downDiff = Math.sqrt(
147 |           Math.pow(a.pointerDown[0] - b.pointerDown[0], 2) +
148 |             Math.pow(a.pointerDown[1] - b.pointerDown[1], 2)
149 |         );
150 |         const currDiff = Math.sqrt(
151 |           Math.pow(a.x - b.x, 2) + Math.pow(a.y - b.y, 2)
152 |         );
153 |         const percent = (currDiff - downDiff) / downDiff + 1;
154 | 
155 |         const relx = combined.current[0] - width / 2;
156 |         const rely = -(combined.current[1] - height / 2);
157 |         const worldRelX = relx * zoomPixel;
158 |         const worldRelY = rely * zoomPixel;
159 | 
160 |         const nextZoom = Math.min(
161 |           32,
162 |           Math.max(1, cameraDown.current.z / percent)
163 |         );
164 | 
165 |         const newVisibleHeight =
166 |           2 * Math.tan((camera.fov * Math.PI) / 360) * nextZoom;
167 |         const newZoomPixel = newVisibleHeight / height;
168 | 
169 |         const newWorldX = relx * newZoomPixel;
170 |         const newWorldY = rely * newZoomPixel;
171 | 
172 |         const diffX = newWorldX - worldRelX;
173 |         const diffY = newWorldY - worldRelY;
174 | 
175 |         camera.position.x = adjustedDown.x - diffX;
176 |         camera.position.y = adjustedDown.y - diffY;
177 |         camera.position.z = nextZoom;
178 |       }
179 |     };
180 | 
181 |     const handlePointerUp = (e: PointerEvent) => {
182 |       e.preventDefault();
183 | 
184 |       pointers.splice(
185 |         pointers.findIndex((p) => p.id === e.pointerId),
186 |         1
187 |       );
188 |       for (const pointer of pointers) {
189 |         pointer.pointerDown = [pointer.x, pointer.y];
190 |       }
191 | 
192 |       cameraDown.current.copy(camera.position);
193 | 
194 |       element.releasePointerCapture(e.pointerId);
195 |     };
196 | 
197 |     element.addEventListener("pointerdown", handlePointerDown);
198 |     element.addEventListener("pointermove", handlePointerMove);
199 |     element.addEventListener("pointerup", handlePointerUp);
200 |     return () => {
201 |       element.removeEventListener("pointerdown", handlePointerDown);
202 |       element.removeEventListener("pointermove", handlePointerMove);
203 |       element.removeEventListener("pointerup", handlePointerUp);
204 |     };
205 |   }, [element, camera]);
206 | };
207 | 


--------------------------------------------------------------------------------
/src/Text.tsx:
--------------------------------------------------------------------------------
  1 | import * as THREE from "three";
  2 | 
  3 | const makeCanvas = (
  4 |   c: HTMLCanvasElement,
  5 |   chars: string[],
  6 |   color = "#000000"
  7 | ) => {
  8 |   const cx = c.getContext("2d")!;
  9 |   cx.clearRect(0, 0, c.width, c.height);
 10 |   const fs = 64;
 11 |   cx.font = fs + "px custom";
 12 | 
 13 |   const ch = Math.round(fs * 1.2);
 14 | 
 15 |   const toMeasure = cx.measureText("n");
 16 |   const cw = toMeasure.width;
 17 |   c.width = 2048;
 18 |   const rows = Math.ceil((chars.length * cw) / c.width);
 19 |   c.height = rows * ch;
 20 |   const perRow = Math.floor(c.width / cw);
 21 | 
 22 |   cx.fillStyle = "white";
 23 |   cx.fillRect(0, 0, c.width, c.height);
 24 |   cx.clearRect(0, 0, c.width, c.height);
 25 | 
 26 |   // have to set font again after resize
 27 |   cx.font = fs + "px custom";
 28 |   cx.fillStyle = color;
 29 |   cx.textBaseline = "middle";
 30 |   for (let i = 0; i < chars.length; i++) {
 31 |     const char = chars[i];
 32 |     const col = i % perRow;
 33 |     const row = Math.floor(i / perRow);
 34 |     cx.fillText(char, col * cw, row * ch + ch / 2);
 35 |   }
 36 |   return { c, cw, ch, rows, perRow };
 37 | };
 38 | 
 39 | const LIMIT = 2000;
 40 | class Text extends THREE.InstancedMesh {
 41 |   perRow: number;
 42 |   rows: number;
 43 |   cw: number;
 44 |   ch: number;
 45 | 
 46 |   constructor(scene: THREE.Scene, camera: THREE.PerspectiveCamera) {
 47 |     const geometry = new THREE.PlaneBufferGeometry();
 48 |     var uv = geometry.getAttribute("uv");
 49 |     let texture;
 50 |     let texScale = [1, 1];
 51 |     let aspect;
 52 |     let rows;
 53 |     let perRow;
 54 |     const chars =
 55 |       " abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ012346789%$€¥£¢&*@#|áâàäåãæçéêèëíîìï:;-–—•,.…'\"`„‹›«»/\\?!¿¡()[]{}©®§+×=_°~^<>".split(
 56 |         ""
 57 |       );
 58 |     const canvas = document.createElement("canvas");
 59 | 
 60 |     let cw, ch;
 61 |     {
 62 |       const madeCanvas = makeCanvas(canvas, chars);
 63 |       const c = madeCanvas.c;
 64 |       cw = madeCanvas.cw;
 65 |       ch = madeCanvas.ch;
 66 |       rows = madeCanvas.rows;
 67 |       perRow = madeCanvas.perRow;
 68 |       texture = new THREE.CanvasTexture(c);
 69 |       // texture.minFilter = THREE.LinearFilter;
 70 | 
 71 |       uv.setXY(0, 0, 1);
 72 |       uv.setXY(1, 1, 1);
 73 |       uv.setXY(2, 0, 0);
 74 |       uv.setXY(3, 1, 0);
 75 |       texScale[0] = cw / c.width;
 76 |       texScale[1] = ch / c.height;
 77 | 
 78 |       aspect = [cw / ch, 1, 1];
 79 |       canvas.style.position = "fixed";
 80 |       canvas.style.top = "0";
 81 |       canvas.style.left = "0";
 82 |       canvas.style.zIndex = "9";
 83 |     }
 84 | 
 85 |     const offsets = [];
 86 |     for (let i = 0; i < LIMIT; i++) {
 87 |       offsets.push(0, 0);
 88 |     }
 89 | 
 90 |     const selected = [];
 91 |     for (let i = 0; i < LIMIT; i++) {
 92 |       selected.push(0);
 93 |     }
 94 | 
 95 |     geometry.setAttribute(
 96 |       "offset",
 97 |       new THREE.InstancedBufferAttribute(new Float32Array(offsets), 2, false)
 98 |     );
 99 | 
100 |     geometry.setAttribute(
101 |       "selected",
102 |       new THREE.InstancedBufferAttribute(new Float32Array(selected), 1, false)
103 |     );
104 | 
105 |     const vertexShader = `
106 |     varying vec2 vUv;
107 |     attribute vec2 offset;
108 |     varying vec2 vOffset;
109 |     uniform vec2 texScale;
110 |     varying vec2 vTexScale;
111 |     uniform vec3 aspect;
112 |     uniform float z;
113 |     uniform float scale;
114 |     attribute float selected;
115 |     varying float vSelected;
116 | 
117 |     void main() {
118 |       vUv = uv * texScale;
119 |       vOffset = offset * texScale;
120 |       vTexScale = texScale;
121 |       vSelected = selected;
122 | 
123 |       gl_Position = projectionMatrix * viewMatrix * modelMatrix * instanceMatrix * vec4(position * aspect * scale * (z / 5.0), 1.0);
124 |     }
125 |     `;
126 | 
127 |     const fragmentShader = `
128 |     uniform sampler2D texture1;
129 |     varying vec2 vUv;
130 |     varying vec2 vOffset;
131 |     varying float vSelected;
132 |     uniform vec3 color;
133 | 
134 |     void main() {
135 |       vec4 tex = texture2D(texture1, vec2(vUv.x + vOffset.x, vUv.y + vOffset.y ));
136 |       vec4 colored = vec4(color, tex.a);
137 |       if (vSelected == 1.0 && colored.a < 0.2) {
138 |         colored.r = 0.5;
139 |         colored.g = 1.0;
140 |         colored.b = 0.5;
141 |         colored.a = 1.0;
142 |       }
143 |       gl_FragColor = colored;
144 |     }
145 |     `;
146 | 
147 |     var uniforms = {
148 |       texture1: { type: "t", value: texture },
149 |       texScale: { value: texScale },
150 |       aspect: { value: aspect },
151 |       selected: { value: selected },
152 |       scale: { value: 0.5 },
153 |       color: { value: [1.0, 1.0, 1.0] },
154 |       z: { value: camera.position.z },
155 |     };
156 | 
157 |     const material = new THREE.ShaderMaterial({
158 |       uniforms: uniforms,
159 |       vertexShader: vertexShader,
160 |       fragmentShader: fragmentShader,
161 |     });
162 |     material.transparent = true;
163 | 
164 |     super(geometry, material, LIMIT);
165 |     scene.add(this);
166 |     this.perRow = perRow;
167 |     this.rows = rows;
168 |     this.cw = cw;
169 |     this.ch = ch;
170 | 
171 |     const offsetBuffer = this.geometry.attributes.offset.array;
172 |     // @ts-ignore
173 |     offsetBuffer.fill(-1);
174 |     const starterText = `Call me Ishmael. Some years ago--never mind how long precisely--having little or no money in my purse, and nothing particular to interest me on shore, I thought I would sail about a little and see the watery part of the world. It is a way I have of driving off the spleen and regulating the circulation. Whenever I find myself growing grim about the mouth; whenever it is a damp, drizzly November in my soul; whenever I find myself involuntarily pausing before coffin warehouses, and bringing up the rear of every funeral I meet; and especially whenever my hypos get such an upper hand of me, that it requires a strong moral principle to prevent me from deliberately stepping into the street, and methodically knocking people's hats off--then, I account it high time to get to sea as soon as I can. This is my substitute for pistol and ball. With a philosophical flourish Cato throws himself upon his sword; I quietly take to the ship. There is nothing surprising in this. If they but knew it, almost all men in their degree, some time or other, cherish very nearly the same feelings towards the ocean with me. There now is your insular city of the Manhattoes, belted round by wharves as Indian isles by coral reefs--commerce surrounds it with her surf. Right and left, the streets take you waterward. Its extreme downtown is the battery, where that noble mole is washed by waves, and cooled by breezes, which a few hours previous were out of sight of land. Look at the crowds of water-gazers there. Circumambulate the city of a dreamy Sabbath afternoon. Go from Corlears Hook to Coenties Slip, and from thence, by Whitehall, northward. What do you see?--Posted like silent sentinels all around the town, stand thousands upon thousands of mortal men fixed in ocean reveries. Some leaning against the spiles; some seated upon the pier-heads; some looking over the bulwarks of ships from China; some high aloft in the rigging, as if striving to get a still better seaward peep. But these are all landsmen; of week days pent up in lath and plaster--tied to counters, nailed to benches, clinched to desks. How then is this? Are the green fields gone? What do they here?`;
175 | 
176 |     const wrapText = (text: string, maxLength: number) => {
177 |       const result = [];
178 |       let line: string[] = [];
179 |       let length = 0;
180 |       text.split(" ").forEach(function (word) {
181 |         if (length + word.length >= maxLength) {
182 |           result.push(line.join(" "));
183 |           line = [];
184 |           length = 0;
185 |         }
186 |         length += word.length + 1;
187 |         line.push(word);
188 |       });
189 |       if (line.length > 0) {
190 |         result.push(line.join(" "));
191 |       }
192 |       return result;
193 |     };
194 | 
195 |     const wrapped = wrapText(starterText, 46);
196 | 
197 |     const matrix = new THREE.Matrix4();
198 |     let item = 0;
199 |     for (let r = 0; r < wrapped.length; r++) {
200 |       const line = wrapped[r];
201 |       for (let c = 0; c < line.length + 1; c++) {
202 |         matrix.setPosition(
203 |           c * 0.25 - (46 / 2) * 0.25,
204 |           -wrapped.length * 0.5 +
205 |             (wrapped.length - 1 - r) * 0.5 +
206 |             (wrapped.length / 2) * 0.5,
207 |           0
208 |         );
209 |         this.setMatrixAt(item, matrix);
210 |         item++;
211 |       }
212 |     }
213 |     this.instanceMatrix.needsUpdate = true;
214 | 
215 |     let counter = 0;
216 |     for (const char of starterText) {
217 |       const index = chars.indexOf(char);
218 |       const col = index % this.perRow;
219 |       const row = Math.floor(index / this.perRow);
220 |       // @ts-ignore
221 |       offsetBuffer[counter * 2] = col;
222 |       // @ts-ignore
223 |       offsetBuffer[counter * 2 + 1] = this.rows - 1 - row;
224 |       counter++;
225 |     }
226 |     this.geometry.attributes.offset.needsUpdate = true;
227 |   }
228 | }
229 | 
230 | export default Text;
231 | 


--------------------------------------------------------------------------------
/src/font.css:
--------------------------------------------------------------------------------
1 | @font-face {
2 |   font-family: "custom";
3 |   src: 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")
4 |     format("woff");
5 |   font-weight: 400;
6 |   font-style: normal;
7 | }
8 | 


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