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@webiny/react-rich-text-lexical-renderer

code style: prettier PRs Welcome

A React component to render lexical editor data coming from Webiny Headless CMS and Webiny Form Builder.

About

Webiny uses Lexical editor https://lexical.dev/ as a go to Rich Text Editor, with some additional plugins. To speed up the rendering of data for developers, we created this component.

Install

npm install --save @webiny/react-rich-text-lexical-renderer

Or if you prefer yarn:

yarn add @webiny/react-rich-text-lexical-renderer

Usage

Fetch your data from Headless CMS, then pass it to the component like this:

import { RichTextLexicalRenderer } from "@webiny/react-rich-text-lexical-renderer";

// Load content from Headless CMS (here we show what your content might look like).
const content = {
    root: {
        children: [
            {
                children: [
                    {
                        detail: 0,
                        format: 0,
                        mode: "normal",
                        style: "",
                        text: "A well written paragraph of text can bring so much joy!",
                        type: "text",
                        version: 1
                    }
                ],
                direction: "ltr",
                styles: [],
                format: "",
                indent: 0,
                tag: "p",
                type: "paragraph-element",
                version: 1
            }
        ],
        direction: "ltr",
        format: "",
        indent: 0,
        type: "root",
        version: 1
    }
}

// Mount the component
<RichTextLexicalRenderer value={content}/>;

Adding your custom lexical nodes for rendering

You can add custom lexical nodes for rendering your content:

class MyCustomNode extends LexicalNode {
...
}

// Mount the component
<RichTextLexicalRenderer value={content} nodes={[MyCustomNode]}/>;

Adding your custom typography theme.

You can override Webiny default typography theme that is used by lexical editor by providing your custom typography object.

Please read our docs and check our theme object on GitHub before add you custom theme.

const myTheme = {
    styles: {
        typography: {
            headings: [
                {
                    id: "custom_heading1",
                    name: "Custom Heading 1",
                    tag: "h1",
                    styles: {...headings, fontWeight: "bold", fontSize: 48}
                }]
        }
    }
}

// Mount the component
<RichTextLexicalRenderer value={content} theme={myTheme} nodes={[MyCustomNode]}/>;

Resolve the mismatch of the versions in the React v18 application

When you try to use RichTextLexicalRenderer component in React v18 application you will see this error on the screen:

React application error for mismatch of the React versions

This is because our @webiny/react-rich-text-lexical-renderer package and the React application have different versions of React. Our rich text renderer component is using v17.0.2, and the React application is using v18.x.x.

You can check which React versions are requested by various dependencies by running the following command:

  • yarn why react for yarn users.
  • npm ls react for npm users.

To resolve this problem, we need to force all dependencies to use the same version of React.

Instructions for yarn users

To force yarn to resolve dependencies across the project to the exact versions we're looking for, use the resolutions field in the root package.json file.

{
  ...
  "resolutions": {
    "react": "18.x.x"
  },
  ...
}

Once the resolutions field is defined, run yarn to apply the new config.

To learn more about the resolutions field, please check this yarn documentation article.

Instructions for npm users

The npm supports the same functionality as yarn with the overrides field name. You need to add overrides field in package.json file.

{
  ...
  "overrides": {
    "react": "^18.x.x"
  },
  ...
}

Once the overrides field is defined, run npm install to apply the new config.

To learn more about the overrides field, please check this npm documentation article.