之前用过 Algolia 服务（Free Plan），使用效果很好。但是展示的搜索结果并不是结构化的。最近网上冲浪的时候发现了一个项目，可以使 Algolia 的搜索结果更具有结构化。

如果你的博客网站偏技术教程或者你单纯想让搜索结果看起来更容易阅读，可以试试使用这个 DocSearch。

DocSearch 是一款 Algolia 出品的，为文档添加搜索功能的项目。本文默认你已经知道并使用过 Algolia，但是没有使用过 DocSearch，介绍如何搭建项目自助抓取博客网页并建立索引。

申请免费的 DocSearch 服务

当然，DocSearch 为满足申请条件的人群提供了免费的服务，可以进入官网点击 Apply 按钮申请。具体申请条件如下：

  • 必须是网站的所有者，或者至少有权限更新网站内容，因为需要通过 script 嵌入 DocSearch 代码。
  • 网站必须公共可见，DocSearch 服务不会为需要权限认证或者私网部署的项目建立索引。
  • 网站必须是一个开源项目的文档网站，或者是一个技术博客。
  • 一定是上线的网站，有内容的网站。

填写基本信息后之后通过邮件沟通，工作人员就会提供可供使用的索引，以及访问所需的 API key 等信息。

但是对于我来说，我的博客虽然也有技术内容，可是我打算以后向其他方向发展，比如文学之类。这个时候可能不太满足申请条件了。DocSearch V2 版本提供了自己搭建爬取服务的教程，因此我选择自己搭建服务抓取网页生成索引。

自助的 DocSearch

需要说明的是，目前最新版本的 DocSearch V3 已经不支持自助，只能通过申请来搭建服务了，因此我们使用的是 V2 版本，这个版本已经不再维护了。

Run Your Own，通过官方文档，我们开始部署自己的服务。

设置环境

首先要设置环境，将我们 Algolia 的 API 信息存储到环境变量中去。这里就首先了解具体的这两个环境变量，至于设置，我们在运行代码的时候再操作。

  • APPLICATION_ID: Algolia 的 ApplicationId。Algolia -> Settings -> Team and Access -> API Keys -> Application ID
  • API_KEY: Algolia 的 ApplicationId。Algolia -> Settings -> Team and Access -> API Keys -> Admin API Key

注意 API_KEY 需要具有写权限的 Admin API Key，因此项目最好运行在本地，最起码确保该 KEY 不会泄露。

下载代码并运行

按照文档，有两种运行方式，一种是 Docker，一种是下载代码运行。Docker 由于我的服务器又特别拉跨，因此就放弃了。但是肯定是要比代码方式更快更简单的。

第二种方法就是下载代码自己运行。

  1. 克隆仓库：docsearch-scraper
  2. 安装 pipenv：pip install –user pipenv
  3. 添加环境变量（这一步是为了让 pipenv 可以直接在命令行里用）
    1. C:\Users\你的用户名\AppData\Roaming\Python\Python310\site-packages Python310 具体看你安装的 python 版本
    2. C:\Users\你的用户名\AppData\Roaming\Python\Python310\Scripts
  4. 然后终端测试下 pipenv 命令
  5. 移动到仓库目录，运行 pipenv install
  6. 仓库目录下运行 pipenv shell
  7. 仓库根目录下创建 .env 文件，文件内容就是在设置环境中提到的两个信息。
  8. 运行 pipenv run python ./docsearch bootstrap 按提示输入你博客的地址和 Algolia 的索引名称，会帮你建立一个 config.json 文件。
  9. 修改 config.json 文件的配置
  10. 运行 pipenv run python ./docsearch run ./config.json
  11. 查看控制台输出，应该大功告成了

遇到的问题

在如上步骤中遇到的问题记录如下。

.env 文件的内容

1
2
APPLICATION_ID=XXX
API_KEY=XXX

pipenv install 失败

按照仓库代码默认提供的 Pipfile.lock 文件安装，会失败，具体原因我也没太看懂，我通过 pipenv install --skip-lock 命令安装后成功了，但是运行第十步的时候报错了，因为安装的依赖版本太高了，代码内使用的部分 API 失效的原因。

通过不断降级，我最终试出来一个好用的版本，安装前你们可以替换下 lock 文件试试。

Pipfile.lock

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{
    "_meta": {
        "hash": {
            "sha256": "2e6dcf2aa0122997de0fd45c55e4856e7df449c9f92ec4c66a762139ce52b940"
        },
        "pipfile-spec": 6,
        "requires": {
            "python_version": "3.6"
        },
        "sources": [
            {
                "name": "pypi",
                "url": "https://pypi.org/simple",
                "verify_ssl": true
            }
        ]
    },
    "default": {
        "algoliasearch": {
            "hashes": [
                "sha256:0647732a91549132514ba5263cb12c7cc443baeb54bd52d324f84f6acd845ac1",
                "sha256:9706d1238ad912e87a9fb43791399de47fe559afd32964e91dfc69a7ca3fe0ce"
            ],
            "index": "pypi",
            "version": "==2.6.3"
        },
        "atomicwrites": {
            "hashes": [
                "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"
            ],
            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
            "version": "==1.4.1"
        },
        "attrs": {
            "hashes": [
                "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04",
                "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"
            ],
            "markers": "python_version >= '3.7'",
            "version": "==23.1.0"
        },
        "automat": {
            "hashes": [
                "sha256:c3164f8742b9dc440f3682482d32aaff7bb53f71740dd018533f9de286b64180",
                "sha256:e56beb84edad19dcc11d30e8d9b895f75deeb5ef5e96b84a467066b3b84bb04e"
            ],
            "version": "==22.10.0"
        },
        "certifi": {
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            ],
            "markers": "python_version >= '3.6'",
            "version": "==2022.12.7"
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        "cffi": {
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            "markers": "python_version >= '3.7'",
            "version": "==6.0"
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    "develop": {
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            ],
            "markers": "python_version >= '3.7'",
            "version": "==1.9.0"
        },
        "mccabe": {
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                "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"
            ],
            "version": "==0.6.1"
        },
        "pylint": {
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                "sha256:723e3db49555abaf9bf79dc474c6b9e2935ad82230b10c1138a71ea41ac0fff1"
            ],
            "index": "pypi",
            "version": "==2.3.1"
        },
        "typing-extensions": {
            "hashes": [
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                "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"
            ],
            "markers": "python_version < '3.11'",
            "version": "==4.5.0"
        },
        "wrapt": {
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            ],
            "markers": "python_version < '3.11'",
            "version": "==1.15.0"
        }
    }
}

config.json 的配置

具体的配置项见这里，我这里不再赘述了，这个文件要一点一点调试，才能达到满意的效果。

最好有个 sitemap，这样就不用写很多 url 了。

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{
  "index_name": "LittleDreamland",
  "sitemap_urls": [
    "http://blog.vidorra.life/sitemap.xml"
  ],
  "start_urls": [
    "http://blog.vidorra.life/"
  ],
  "stop_urls": [
    "https://blog.vidorra.life/tags/.*",
    "https://blog.vidorra.life/categories/.*"
  ],
  "selectors": {
    "lvl0": "#article-title",
    "lvl1": ".post-content h2",
    "lvl2": ".post-content h3",
    "lvl3": ".post-content h4",
    "lvl4": ".post-content h5",
    "lvl5": ".post-content h6",
    "text": ".post-content p, .post-content li"
  },
  "nb_hits": 224
}

前端项目开发

抓取成功后，我们还需要把 DocSearch 嵌入到自己的博客中。我是静态网页，没有使用 React 框架。如果你使用 React 框架，请参考官方网站的配置。

head 引入样式和 JS

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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@docsearch/css@3" />
<script src="https://cdn.jsdelivr.net/npm/@docsearch/js@3"></script>

我这里用的是 V3 版本的代码，好像也没有什么问题，不过当然最好还是和后端匹配下，使用 V2 版本。

另外我 CSS 使用的是自己的，自定义样式可以更方便的使 DocSearch 融入博客中，当然原生的样式也好看。

body 中创建一个 div 用于存放搜索框

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<div id="docsearch" class="hidden"></div>

这里我将它默认隐藏了，因为我使用另一个自定义的搜索框触发搜索事件

编写脚本创建示例

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(() => {
   docsearch({
      appId: '<%= config.algolia.appId %>',
      apiKey: '<%= config.algolia.apiKey %>',
      indexName: '<%= config.algolia.indexName %>',
      container: '#docsearch',
      placeholder: '<%= _p('search.title') %>...',
      ......
   })

   const searchClickFn = () => {
      document.querySelector('#algolia_search').addEventListener('click', () => {
         document.querySelector('.DocSearch-Button').click()
      })
   }

   searchClickFn()
})()

这里的配置项我也配置好多，主要是实现样式的修改。具体我怎么配的可以直接查看源码。可以参考官方文档的 API 学习如何配置，这里我也就不再赘述了。

参考