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Fix: websync doc and export dataset ux (#1225)
* Revert "lafAccount add pat & re request when token invalid (#76)" (#77) This reverts commit 83d85dfe37adcaef4833385ea52ee79fd84720be. * perf: workflow ux * system config * perf: export data * doc * update doc * fix: whisper
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| Original file line number | Diff line number | Diff line change |
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| --- | ||
| title: 'Web 站点同步' | ||
| description: 'FastGPT Web 站点同步功能介绍和使用方式' | ||
| icon: 'language' | ||
| draft: false | ||
| toc: true | ||
| weight: 105 | ||
| --- | ||
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| 该功能目前仅向商业版用户开放。 | ||
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| ## 什么是 Web 站点同步 | ||
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| Web 站点同步利用爬虫的技术，可以通过一个入口网站，自动捕获`同域名`下的所有网站，目前最多支持`200`个子页面。出于合规与安全角度，FastGPT 仅支持`静态站点`的爬取，主要用于各个文档站点快速构建知识库。 | ||
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| Tips: 国内的媒体站点基本不可用，公众号、csdn、知乎等。可以通过终端发送`curl`请求检测是否为静态站点，例如： | ||
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| ```bash | ||
| curl https://doc.fastgpt.in/docs/intro/ | ||
| ``` | ||
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| ## 如何使用 | ||
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| ### 1. 新建知识库，选择 Web 站点同步 | ||
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| ### 2. 点击配置站点信息 | ||
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| ### 3. 填写网址和选择器 | ||
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| 好了， 现在点击开始同步，静等系统自动抓取网站信息即可。 | ||
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| ## 创建应用，绑定知识库 | ||
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| ## 选择器如何使用 | ||
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| 选择器是 HTML CSS JS 的产物，你可以通过选择器来定位到你需要抓取的具体内容，而不是整个站点。使用方式为： | ||
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| ### 首先打开浏览器调试面板（通常是 F12，或者【右键 - 检查】） | ||
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| ### 输入对应元素的选择器 | ||
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| [菜鸟教程 css 选择器](https://www.runoob.com/cssref/css-selectors.html)，具体选择器的使用方式可以参考菜鸟教程。 | ||
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| 上图中，我们选中了一个区域，对应的是`div`标签，它有 `data-prismjs-copy`, `data-prismjs-copy-success`, `data-prismjs-copy-error` 三个属性，这里我们用到一个就够。所以选择器是： | ||
| **`div[data-prismjs-copy]`** | ||
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| 除了属性选择器，常见的还有类和ID选择器。例如： | ||
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| 上图 class 里的是类名（可能包含多个类名，都是空格隔开的，选择一个即可），选择器可以为：**`.docs-content`** | ||
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| ### 多选择器使用 | ||
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| 在开头的演示中，我们对 FastGPT 文档是使用了多选择器的方式来选择，通过逗号隔开了两个选择器。 | ||
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| 我们希望选中上图两个标签中的内容，此时就需要两组选择器。一组是：`.docs-content .mb-0.d-flex`，含义是 `docs-content` 类下同时包含 `mb-0`和`d-flex` 两个类的子元素； | ||
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| 另一组是`.docs-content div[data-prismjs-copy]`，含义是`docs-content` 类下包含`data-prismjs-copy`属性的`div`元素。 | ||
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| 把两组选择器用逗号隔开即可：`.docs-content .mb-0.d-flex, .docs-content div[data-prismjs-copy]` |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,20 +1,31 @@ | ||
| import { getToken } from '@/web/support/user/auth'; | ||
| import { hasHttps } from '@fastgpt/web/common/system/utils'; | ||
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| export const xmlDownloadFetch = ({ url, filename }: { url: string; filename: string }) => { | ||
| const xhr = new XMLHttpRequest(); | ||
| xhr.open('GET', url, true); | ||
| xhr.setRequestHeader('token', getToken()); | ||
| xhr.responseType = 'blob'; | ||
| xhr.onload = function (e) { | ||
| if (this.status == 200) { | ||
| const blob = this.response; | ||
| const a = document.createElement('a'); | ||
| const url = URL.createObjectURL(blob); | ||
| a.href = url; | ||
| a.download = filename; | ||
| a.click(); | ||
| window.URL.revokeObjectURL(url); | ||
| } | ||
| }; | ||
| xhr.send(); | ||
| export const xmlDownloadFetch = async ({ url, filename }: { url: string; filename: string }) => { | ||
| if (hasHttps()) { | ||
| const a = document.createElement('a'); | ||
| a.href = url; | ||
| a.download = filename; | ||
| document.body.appendChild(a); | ||
| a.click(); | ||
| document.body.removeChild(a); | ||
| } else { | ||
| const response = await fetch(url, { | ||
| headers: { | ||
| token: `${getToken()}` | ||
| } | ||
| }); | ||
| if (!response.ok) throw new Error('Network response was not ok.'); | ||
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| const blob = await response.blob(); | ||
| const downloadUrl = window.URL.createObjectURL(blob); | ||
| const a = document.createElement('a'); | ||
| a.style.display = 'none'; // 隐藏<a>元素 | ||
| a.href = downloadUrl; | ||
| a.download = filename; | ||
| document.body.appendChild(a); | ||
| a.click(); // 模拟用户点击 | ||
| document.body.removeChild(a); | ||
| window.URL.revokeObjectURL(downloadUrl); // 清理生成的URL | ||
| } | ||
| }; |