feat(search): add more params for search and improve search index (#279)

This commit is contained in:
Dillon
2020-04-29 02:34:28 +08:00
committed by GitHub
parent aa5f490aae
commit 16a4e94117
19 changed files with 169 additions and 81 deletions

View File

@@ -114,10 +114,14 @@ enableEmoji = true
enable = true
# type of search engine ("lunr", "algolia")
type = "algolia"
# index length of the content
# max index length of the chunked content
contentLength = 5000
# placeholder of the search bar
placeholder = ""
# max number of results length
maxResultLength = 10
# HTML tag name of the highlight part in results
highlightTag = "em"
[languages.en.params.search.algolia]
index = "index.en"
appID = "PASDMWALPK"
@@ -303,10 +307,14 @@ enableEmoji = true
enable = true
# 搜索引擎的类型 ("lunr", "algolia")
type = "algolia"
# 文章内容索引长度
# 文章内容最长索引长度
contentLength = 5000
# 搜索框的占位提示语
placeholder = ""
# 最大结果数目
maxResultLength = 10
# 搜索结果中高亮部分的 HTML 标签
highlightTag = "em"
[languages.zh-cn.params.search.algolia]
index = "index.zh-cn"
appID = "PASDMWALPK"
@@ -488,10 +496,14 @@ enableEmoji = true
enable = true
# type of search engine ("lunr", "algolia")
type = "algolia"
# index length of the content
# max index length of the chunked content
contentLength = 5000
# placeholder of the search bar
placeholder = ""
# max number of results length
maxResultLength = 10
# HTML tag name of the highlight part in results
highlightTag = "em"
[languages.fr.params.search.algolia]
index = "index.fr"
appID = "PASDMWALPK"

View File

@@ -221,10 +221,14 @@ Please open the code block below to view the complete sample configuration :(far
enable = true
# type of search engine ("lunr", "algolia")
type = "lunr"
# index length of the content
# max index length of the chunked content
contentLength = 5000
# placeholder of the search bar
placeholder = ""
# {{< version 0.2.1 >}} max number of results length
maxResultLength = 10
# {{< version 0.2.1 >}} HTML tag name of the highlight part in results
highlightTag = "em"
[params.search.algolia]
index = ""
appID = ""
@@ -955,25 +959,35 @@ Here is the search configuration in your [site configuration](#site-configuratio
enable = true
# type of search engine ("lunr", "algolia")
type = "lunr"
# index length of the content
# max index length of the chunked content
contentLength = 5000
# placeholder of the search bar
placeholder = ""
# {{< version 0.2.1 >}} max number of results length
maxResultLength = 10
# {{< version 0.2.1 >}} HTML tag name of the highlight part in results
highlightTag = "em"
[params.search.algolia]
index = ""
appID = ""
searchKey = ""
```
{{< admonition note "How to choose the type of search engine?" >}}
{{< admonition note "How to choose search engine?" >}}
The following is a comparison of two search engines:
* `lunr`: simple, no need to synchronize `index.json`, no limit for `contentLength`,
but high bandwidth and low performance (Especially for Chinese which needs a large segmentit library)
* `algolia`: high performance and low bandwidth, but need to synchronize `index.json` and limit for `contentLength`
{{< version 0.2.1 >}} The content of the post is separated by `h2` HTML tag to improve query performance and basically implement full-text search.
`contentLength` is used to limit the max index length of the part starting with `h2` HTML tag.
{{< /admonition >}}
{{< admonition tip "Tips about algolia" >}}
You need to upload `index.json` files to algolia to activate searching.
You could upload the `index.json` files by browsers but a script may be a better choice.
You could upload the `index.json` files by browsers but a CLI tool may be better.
[Algolia Atomic](https://github.com/chrisdmacrae/atomic-algolia) is a good choice.
To be compatible with Hugo multilingual mode,
you need to upload different `index.json` for each language to the different index of algolia, such as `zh-cn/index.json` or `fr/index.json`...
{{< /admonition >}}

View File

@@ -226,10 +226,14 @@ Please open the code block below to view the complete sample configuration :(far
enable = true
# type of search engine ("lunr", "algolia")
type = "lunr"
# index length of the content
# max index length of the chunked content
contentLength = 5000
# placeholder of the search bar
placeholder = ""
# {{< version 0.2.1 >}} max number of results length
maxResultLength = 10
# {{< version 0.2.1 >}} HTML tag name of the highlight part in results
highlightTag = "em"
[params.search.algolia]
index = ""
appID = ""
@@ -960,25 +964,35 @@ Here is the search configuration in your [site configuration](#site-configuratio
enable = true
# type of search engine ("lunr", "algolia")
type = "lunr"
# index length of the content
# max index length of the chunked content
contentLength = 5000
# placeholder of the search bar
placeholder = ""
# {{< version 0.2.1 >}} max number of results length
maxResultLength = 10
# {{< version 0.2.1 >}} HTML tag name of the highlight part in results
highlightTag = "em"
[params.search.algolia]
index = ""
appID = ""
searchKey = ""
```
{{< admonition note "How to choose the type of search engine?" >}}
{{< admonition note "How to choose search engine?" >}}
The following is a comparison of two search engines:
* `lunr`: simple, no need to synchronize `index.json`, no limit for `contentLength`,
but high bandwidth and low performance (Especially for Chinese which needs a large segmentit library)
* `algolia`: high performance and low bandwidth, but need to synchronize `index.json` and limit for `contentLength`
{{< version 0.2.1 >}} The content of the post is separated by `h2` HTML tag to improve query performance and basically implement full-text search.
`contentLength` is used to limit the max index length of the part starting with `h2` HTML tag.
{{< /admonition >}}
{{< admonition tip "Tips about algolia" >}}
You need to upload `index.json` files to algolia to activate searching.
You could upload the `index.json` files by browsers but a script may be a better choice.
You could upload the `index.json` files by browsers but a CLI tool may be better.
[Algolia Atomic](https://github.com/chrisdmacrae/atomic-algolia) is a good choice.
To be compatible with Hugo multilingual mode,
you need to upload different `index.json` for each language to the different index of algolia, such as `zh-cn/index.json` or `fr/index.json`...
{{< /admonition >}}

View File

@@ -224,10 +224,14 @@ hugo
enable = true
# 搜索引擎的类型 ("lunr", "algolia")
type = "lunr"
# 文章内容索引长度
# 文章内容最长索引长度
contentLength = 5000
# 搜索框的占位提示语
placeholder = ""
# 最大结果数目
maxResultLength = 10
# 搜索结果中高亮部分的 HTML 标签
highlightTag = "em"
[params.search.algolia]
index = ""
appID = ""
@@ -938,7 +942,7 @@ defaultContentLanguage = "zh-cn"
{{< version 0.2.0 >}}
基于 [Lunr.js](https://lunrjs.com/) 或 [algolia](https://www.algolia.com/), **LoveIt** 主支持搜索功能.
基于 [Lunr.js](https://lunrjs.com/) 或 [algolia](https://www.algolia.com/), **LoveIt**支持搜索功能.
### 5.1 输出配置
@@ -958,24 +962,34 @@ defaultContentLanguage = "zh-cn"
```toml
[params.search]
enable = true
# type of search engine ("lunr", "algolia")
# 搜索引擎的类型 ("lunr", "algolia")
type = "lunr"
# index length of the content
# 文章内容最长索引长度
contentLength = 5000
# 搜索框的占位提示语
placeholder = ""
# 最大结果数目
maxResultLength = 10
# 搜索结果中高亮部分的 HTML 标签
highlightTag = "em"
[params.search.algolia]
index = ""
appID = ""
searchKey = ""
```
{{< admonition note "怎样选择搜索引擎的类型?" >}}
{{< admonition note "怎样选择搜索引擎?" >}}
以下是两种搜索引擎的对比:
* `lunr`: 简单, 无需同步 `index.json`, 没有 `contentLength` 的限制, 但占用带宽大且性能低 (特别是中文需要一个较大的分词依赖库)
* `algolia`: 高性能并且占用带宽低, 但需要同步 `index.json` 且有 `contentLength` 的限制
{{< version 0.2.1 >}} 文章内容被 `h2` HTML 标签切分来提供查询效果并且基本实现全文搜索.
`contentLength` 用来限制 `h2` HTML 标签开头的内容部分的最大长度.
{{< /admonition >}}
{{< admonition tip "关于 algolia 的使用技巧" >}}
你需要上传 `index.json` 到 algolia 来激活搜索功能. 你可以使用浏览器来上传 `index.json` 文件但是一个自动化的脚本可能是更好的选择.
你需要上传 `index.json` 到 algolia 来激活搜索功能. 你可以使用浏览器来上传 `index.json` 文件但是一个自动化的脚本可能效果更好.
[Algolia Atomic](https://github.com/chrisdmacrae/atomic-algolia) 是一个不错的选择.
为了兼容 Hugo 的多语言模式, 你需要上传不同语言的 `index.json` 文件到对应的 algolia index, 例如 `zh-cn/index.json``fr/index.json`...
{{< /admonition >}}