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storybook-extractor

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Storybook metadata extractor

storybook-extractor 최신버젼 다운로드

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# Storybook extractor

> 🔥  This project was done as a part of 24h [design systems hackathon 2022](https://www.dshackathon.de/) there are some [known issues](#known-issues) as a result of that.

Storybook extractor is a tool that extracts data from storybook stories, documentation pages and generates a JSON file with them.

**Features**:

- Extracts metadata from storybook globals
- Takes a screenshot of the storybook component
- Extracts docs page HTML

Running `storybook-extractor` on URL where storybook is running will output JSON like this:

<details>
  <summary>Click to see complete JSON</summary>
  
  Some of the properties are shorten for readability.

```json
{
    "id": "2788c0bf91f7bef230a70af70851b7e0",
    "title": "ButtonPrimary/Playground",
    "storyPath": "Core/Button/ButtonPrimary",
    "storyName": "Playground",
    "storyId": "core-button-buttonprimary--playground",
    "componentName": "ButtonPrimary",
    "docs": {
      "heading": "ButtonPrimary",
      "firstParagraph": "ButtonPrimary is a button used for main actions on page",
      "tablesHtml": [
        "<first-found-html-table>",
      ],
      "codeSnippets": [],
      "fullText": "<inner-text-of-docs>"
    },
    "urls": {
      "storyUrl": "http://localhost:4400/?path=/story/core-button-buttonprimary--playground",
      "storyUrlIframe": "http://localhost:4400/iframe.html?id=core-button-buttonprimary--playground&args=&viewMode=story",
      "docsUrl": "http://localhost:4400/?path=/docs/core-button-buttonprimary--playground",
      "docsUrlIframe": "http://localhost:4400/iframe.html?id=core-button-buttonprimary--playground&viewMode=docs"
    },
    "pictureBase64": "<base64-of-your-component>",
    "raw": {
      "id": "core-button-buttonprimary--playground",
      "kind": "Core/Button/ButtonPrimary",
      "name": "Playground",
      "story": "Playground",
      "parameters": {
        "docs": {
          "inlineStories": true,
          "iframeHeight": 100
        },
        "backgrounds": {
          "grid": {
            "cellSize": 20,
            "opacity": 0.5,
            "cellAmount": 5
          },
          "values": [
            {
              "name": "light",
              "value": "#F8F8F8"
            },
            {
              "name": "dark",
              "value": "#333333"
            }
          ]
        },
        "globals": {
          "measureEnabled": false,
          "outline": false
        },
        "framework": "react",
        "component": {
          "__docgenInfo": {
            "description": "ButtonPrimary component\nUsage: should be used for main actions on page\n",
            "methods": [],
            "displayName": "ButtonPrimary"
          }
        },
        "fileName": "<path>/button-primary.stories.tsx",
        "storySource": {
          "source": "<story-source-code>",
          "locationsMap": {
          }
        },
        "args": {},
        "argTypes": {},
        "__id": "core-button-buttonprimary--playground",
        "__isArgsStory": false
      },
      "args": {},
      "initialArgs": {}
    },
  }
```

</details>

With this raw JSON report you can generate what do you desire, for example:

- Generate snippets for IDE with all components from storybook
- Get storybook docs pages into your custom documentation page
- Feed Algolia search with you components data

# Install

```
npm install --save-dev storybook-extractor
```

# Usage

You need to run the extractor with a path to a config file.

```
npx storybook-extractor -c /path/to/storybook-extractor.config.js
```

## Config file arguments

| Argument | Type | Description |
| -------- | -------- | -------- |
| url | string | URL to storybook instance |
| output | string | Path to output file |
| concurentScrapers | number | Number of concurrent scrapers, defaults to 20 |
| postProcess | String[] | Path to post processor |

### Example config file

```
module.exports = {
  url: "http://localhost:4400",
  output: "./out.json",
  concurentScrapers: 20,
  postProcess: ["./examples/example-post-process.js"],
};
```

## Custom post process

This extractor only produces raw data which can be quite large, because of that there is an option to specify `postProcess` in your config file to run scripts after extractor, like this:

```js
  postProcess: [".path/to/your/script.js"],
```

After the extractor is finished scraping it will execute specified processes. Note that those processes are not chained.

# Known issues

- Docs pages are being scraped multiple times. As for a component you can have multiple stories which have unique URLs and previews but don't have unique doc pages.
- Not everything is TS typed
- The Config file is required right now, having CLI commands would be more friendly
- No tests

# License

MIT

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