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https://issues.apache.org/jira/browse/CAMEL-14952?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17151862#comment-17151862
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ASF GitHub Bot commented on CAMEL-14952:
----------------------------------------

aashnajena opened a new pull request #423:
URL: https://github.com/apache/camel-website/pull/423


   I have linked my own Algolia index to this PR for now, so that everyone can 
view the changes in search results. 
   - Search results are now grouped by higher level headings eg. "Camel 
Components" or "User Manual" or "Camel Kafka Connector". 
   - For Hugo pages, search results are grouped by H1, because that itself is 
the highest level of heading eg "Articles" or "Books"
   - I wanted to make the config file as simple as possible, and depend on the 
sitemap instead of the URLs. This is what I'm using :
   
   
     "sitemap_urls": [
       "https://camel.apache.org/sitemap.xml";
     ],
     "selectors": {
       "lvl0": ".toolbar ul li:nth-child(1) a",
       "lvl1": ".version-menu a.is-current",
       "lvl2": "article h1",
       "lvl3": "article h2",
       "text": "article p, article li"
     }
   


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> Better search on the website
> ----------------------------
>
>                 Key: CAMEL-14952
>                 URL: https://issues.apache.org/jira/browse/CAMEL-14952
>             Project: Camel
>          Issue Type: Improvement
>          Components: website
>            Reporter: Zoran Regvart
>            Priority: Major
>         Attachments: 
> BH4D9OD16A_apache_camel_20200608-20200614_no_result_searches.csv, 
> List_Of_Crawled_Pages_by_DocSearch.txt, apache_demo.json, camel.json, 
> getbootstrap-searchresult.png, image-2020-06-13-14-39-08-776.png, 
> list_of_crawled_pages.txt, sitemap-camel.png
>
>
> We use [Algolia|http://algolia.com/] for the search functionality on the 
> website using their [free plan|https://www.algolia.com/for-open-source/] for 
> Open Source projects. The index is built by Algolia's crawler using the 
> [DocSearch|https://docsearch.algolia.com/].
> When this was done we built our own UI on top of Algolia JavaScript API, as 
> one if requirements is that clients use Algolia's JavaScript clients. We did 
> not use Algolia UI as at that point it was rather large JavaScript dependency 
> to add and it would slow down the loading of the website.
> We also have some [initial 
> work|https://github.com/apache/camel-website/pull/74] on creating our own 
> Algolia index at build time.
> The current search doesn't seem to index the whole website, some results 
> don't appear in the search, looks like most of the content from Antora is not 
> indexed: trying to search for {{removeHeader}}, the [FAQ 
> entry|https://camel.apache.org/manual/latest/faq/how-to-avoid-sending-some-or-all-message-headers.html]
>  is not found. There's also a list of failed searches on the Algolia 
> dashboard we can use to benchmark the search.
> What we need is to build the search index over the whole content. Approach 
> taken in [#74|https://github.com/apache/camel-website/pull/74] is good start 
> for Hugo generated content. We need to expand that to Antora built content as 
> well.
> This search index would be built at the website build time and would include 
> both Hugo and Algolia content in the same file or possibly in several files 
> if we use multi-index search. More on how indexes are built can be seen in 
> the [Algolia 
> documentation|https://www.algolia.com/doc/guides/sending-and-managing-data/prepare-your-data/].
> We need to figure out what data to send and how to integrate this with 
> Antora, for Hugo we have a good idea from 
> [#74|https://github.com/apache/camel-website/pull/74], importantly the 
> structure needs to be the same. One good source of inspiration on building 
> the index for Antora content is in the [Lunr.js 
> integration|https://github.com/Mogztter/antora-lunr].
> We need to build the index with the search UI in mind, i.e. the index needs 
> to contain the data we wish to present in the UI as well as enough content 
> for Algolia to be able to use the content to perform search. So starting with 
> a mockup of what we wish to present/utilize in the search UI and deriving the 
> data structure for the index from that would be a good start.



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