Files
mkdocs-material/src/assets/javascripts/modules/search/_/index.ts
2019-12-18 10:06:03 +01:00

203 lines
6.4 KiB
TypeScript

/*
* Copyright (c) 2016-2019 Martin Donath <martin.donath@squidfunk.com>
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
* IN THE SOFTWARE.
*/
import * as lunr from "lunr"
import { compress, decompress } from "lz-string"
import {
SearchArticle,
SearchDocumentMap,
SearchSection,
setupSearchDocumentMap
} from "../document"
/* ----------------------------------------------------------------------------
* Types
* ------------------------------------------------------------------------- */
/**
* Search index configuration
*/
export interface SearchIndexConfig {
lang: string[] /* Search languages */
separator: string /* Search separator */
}
/**
* Search index document
*/
export interface SearchIndexDocument {
location: string /* Document location */
title: string /* Document title */
text: string /* Document text */
}
/**
* Search index
*
* This interfaces describes the format of the `search_index.json` file which
* is automatically built by the MkDocs search plugin.
*/
export interface SearchIndex {
config: SearchIndexConfig /* Search index configuration */
docs: SearchIndexDocument[] /* Search index documents */
index?: object | string /* Pre-built or serialized index */
}
/* ------------------------------------------------------------------------- */
/**
* Search result
*/
export interface SearchResult {
article: SearchArticle /* Relevant article */
sections: SearchSection[] /* Relevant sections */
}
/* ----------------------------------------------------------------------------
* Function types
* ------------------------------------------------------------------------- */
/**
* Options
*/
interface Options {
pipeline: {
trimmer: boolean /* Add trimmer to pipeline */
stopwords: boolean /* Add stopword filter to pipeline */
}
}
/* ----------------------------------------------------------------------------
* Class
* ------------------------------------------------------------------------- */
export class Search {
/**
* Search document mapping
*
* A mapping of URLs (including hash fragments) to the actual articles and
* sections of the documentation. The search document mapping must be created
* regardless of whether the index was prebuilt or not, as lunr itself will
* only store the actual index.
*/
protected documents: SearchDocumentMap
/**
* The lunr search index
*/
protected index: lunr.Index
/**
* Create a search index
*
* @param index - Search index
* @param options - Options
*/
public constructor({ docs, index }: SearchIndex, options: Options) {
this.documents = setupSearchDocumentMap(docs)
/* If no index was given, create it */
if (typeof index === "undefined") {
this.index = lunr(function() {
/* Remove stemmer, as it cripples search experience */
this.pipeline.reset()
if (options.pipeline.trimmer)
this.pipeline.add(lunr.trimmer)
if (options.pipeline.stopwords)
this.pipeline.add(lunr.stopWordFilter)
/* Setup fields and reference */
this.field("title", { boost: 10 })
this.field("text")
this.ref("location")
/* Index documents */
for (const doc of docs)
this.add(doc)
})
/* Serialized and compressed index */
} else if (typeof index === "string") {
this.index = lunr.Index.load(JSON.parse(decompress(index)))
/* Prebuilt index */
} else {
this.index = lunr.Index.load(index)
}
}
/**
* Search for matching documents
*
* The search index which MkDocs provides is divided up into articles, which
* contain the whole content of the individual pages, and sections, which only
* contain the contents of the subsections obtained by breaking the individual
* pages up at `h1` ... `h6`. As there may be many sections on different pages
* with indentical titles (for example within this very project, e.g. "Usage"
* or "Installation"), they need to be put into the context of the containing
* page. For this reason, section results are grouped within their respective
* articles which are the top-level results that are returned.
*
* @param query - Query string
*
* @return Search results
*/
public search(query: string): SearchResult[] {
const groups = this.index.search(query)
/* Group sections results by article */
.reduce((results, result) => {
const document = this.documents.get(result.ref)
if (typeof document !== "undefined") {
if ("article" in document) {
const ref = document.article.location
results.set(ref, [...results.get(ref) || [], result])
} else {
const ref = document.location
results.set(ref, results.get(ref) || [])
}
}
return results
}, new Map<string, lunr.Index.Result[]>())
/* Map groups to search documents */
return [...groups].map(([ref, sections]) => ({
article: this.documents.get(ref) as SearchArticle,
sections: sections.map(section => {
return this.documents.get(section.ref) as SearchSection
})
}))
}
/**
* Serialize and compress the index
*
* @return Serialized and compressed index
*/
public toString(): string {
return compress(JSON.stringify(this.index))
}
}