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https://github.com/krapie/yorkie-tldraw
tldraw multiplayer project using yorkie
https://github.com/krapie/yorkie-tldraw
aws crdts docker react real-time-collaborative-whiteboard
Last synced: about 2 months ago
JSON representation
tldraw multiplayer project using yorkie
- Host: GitHub
- URL: https://github.com/krapie/yorkie-tldraw
- Owner: krapie
- License: apache-2.0
- Created: 2022-08-03T09:29:52.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-19T03:41:24.000Z (about 1 year ago)
- Last Synced: 2024-06-11T05:34:45.697Z (3 months ago)
- Topics: aws, crdts, docker, react, real-time-collaborative-whiteboard
- Language: TypeScript
- Homepage: https://yorkie.dev/examples/tldraw
- Size: 8.07 MB
- Stars: 28
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# yorkie-tldraw
> This project is now maintained in [yorkie-js-sdk](https://github.com/yorkie-team/yorkie-js-sdk/tree/main/examples/react-tldraw). Check out the demo [here](https://yorkie.dev/examples/tldraw).
A real-time collaboration whiteboard demo project for [yorkie-js-sdk](https://github.com/yorkie-team/yorkie-js-sdk) using [tldraw](https://github.com/tldraw/tldraw)
Building real-time collaboration whiteboard using yorkie & tldraw (demo) Youtube link (KOR): https://youtu.be/2FH63ldefPw
## Table of Contents
- Getting Started
- Prerequisites
- Instructions
- Development
- Project Requirements
- Project Structure
- About Yorkie
- Deployment
- Roadmap
## Getting Started
If you are new to yorkie or tldraw and you just want to play around, just clone this repository and follow instructions bellow.
### Prerequisites
- `yarn` or `npm` for client package manager
- `Docker`, `Docker Compose` for server application manager
### Instructions
```bash
# clone repository
git clone https://github.com/krapie/yorkie-tldraw.git
# change to project directory
cd yorkie-tldraw
# change to docker directory
cd docker
# start local server with docker compose
docker-compose up --build -d
# go back to project root directory
cd ..
# install client modules
yarn
# start project and play around!
yarn start
```
## Development
### Project Components
- `React.js` for project base framework
- For more information, follow: [https://create-react-app.dev/docs/getting-started/](https://create-react-app.dev/docs/getting-started/)
- `@tldraw/tldraw` for React based canvas/svg whiteboard
- For more information, follow: [https://github.com/tldraw/tldraw](https://github.com/tldraw/tldraw)
- `yorkie-js-sdk` for real-time collaboration sdk for web clients
- For more information, follow: [https://github.com/yorkie-team/yorkie-js-sdk](https://github.com/yorkie-team/yorkie-js-sdk)
- `yorkie server` for server between yorkie clients
- For more information, follow: [https://yorkie.dev/docs/server-for-web](https://yorkie.dev/docs/server-for-web)
### Project Structure
**Client**
- `src`
- `multiplayer`
- `useMultiplayerState.ts` (mutliplayer state using yorkie and tldraw event callbacks)
- `App.tsx` (React project entry point which contains tldraw editor component customed by useMultiplayerState.ts)
**Server**
- `docker-compose`
- `envoy`(gRPC web Proxy), `yorkie server`(with gRPC Server), `mongoDB/in-memory DB` (database)
### About Yorkie
Yorkie is an open source document store for building collaborative editing applications. Yorkie uses JSON-like documents(CRDT) with optional types.
Yorkie references
- Yorkie Github: [https://github.com/yorkie-team/yorkie](https://github.com/yorkie-team/yorkie)
- Yorkie Docs: [https://yorkie.dev/](https://yorkie.dev/)
### Deployment
[https://demo.asyncrum.com/](https://demo.asyncrum.com/) deployment structure are shown below
```
[client]
ㄴ demo.asyncrum.com - [Github, gh-pages] # for serving static pages
[server]
ㄴ api.yorkie.dev - [EKS] # for serving API
```
## Roadmap
### **Phase 1**
- [x] tldraw + yorkie Step 1: yorkie doc update TDType
- [x] tldraw + yorkie Step 2: yorkie presence with peer awareness
- [x] yorkie server stablization: yorkie clustering server on AWS using LB, ec2s, and etcd
- [x] client optimization: loading bar, throttle on overheaded callbacks
- [x] customize tldraw core: cursor with name
### **Phase 2**
- [x] assets: enable asset (image/video) feature
- [x] setting storage bucket for media files (ex: AWS S3)
- [x] setting up presigned url with lambda (optional)
- [x] optimization: room loading performance improvement
- [ ] undo/redo: undoManager with Yorkie history API (not implemented)
### **Phase 3**
- [ ] implement creative interaction features in tldraw
- [ ] collaborative reaction
- [ ] …