mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-19 06:01:57 +00:00
94f86eda79
* Some improvements for introduction/performance.md
* Minor improvements for example_datasets
* Add website/package-lock.json to .gitignore
* YT paragraph was badly outdated and there is no real reason to write a new one
* Use weird introduction article as a starting point for F.A.Q.
* Some refactoring of first half of ya_metrika_task.md
* minor
* Weird docs footer bugfix
* Forgotten redirect
* h/v scrollbars same size in docs
* CLICKHOUSE-3831: introduce security changelog
* A bit more narrow tables on docs front page
* fix flag in ru docs
* Save some space in top level of docs ToC
* Capitalize most words in titles of docs/en/
* more docs scrollbar fixes
* fix incorrect merge
* fix link
* fix switching languages in single page docs mode
* Update mkdocs & mkdocs-material + unminify javascript
* cherrypick 17e18d1ecc
2988 lines
83 KiB
JavaScript
2988 lines
83 KiB
JavaScript
/**
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* lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.1.6
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* Copyright (C) 2018 Oliver Nightingale
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* @license MIT
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*/
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;(function(){
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/**
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* A convenience function for configuring and constructing
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* a new lunr Index.
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*
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* A lunr.Builder instance is created and the pipeline setup
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* with a trimmer, stop word filter and stemmer.
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*
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* This builder object is yielded to the configuration function
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* that is passed as a parameter, allowing the list of fields
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* and other builder parameters to be customised.
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*
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* All documents _must_ be added within the passed config function.
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*
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* @example
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* var idx = lunr(function () {
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* this.field('title')
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* this.field('body')
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* this.ref('id')
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*
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* documents.forEach(function (doc) {
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* this.add(doc)
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* }, this)
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* })
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*
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* @see {@link lunr.Builder}
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* @see {@link lunr.Pipeline}
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* @see {@link lunr.trimmer}
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* @see {@link lunr.stopWordFilter}
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* @see {@link lunr.stemmer}
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* @namespace {function} lunr
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*/
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var lunr = function (config) {
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var builder = new lunr.Builder
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builder.pipeline.add(
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lunr.trimmer,
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lunr.stopWordFilter,
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lunr.stemmer
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)
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builder.searchPipeline.add(
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lunr.stemmer
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)
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config.call(builder, builder)
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return builder.build()
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}
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lunr.version = "2.1.6"
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/*!
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* lunr.utils
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* Copyright (C) 2018 Oliver Nightingale
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*/
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/**
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* A namespace containing utils for the rest of the lunr library
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*/
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lunr.utils = {}
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/**
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* Print a warning message to the console.
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*
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* @param {String} message The message to be printed.
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* @memberOf Utils
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*/
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lunr.utils.warn = (function (global) {
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/* eslint-disable no-console */
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return function (message) {
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if (global.console && console.warn) {
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console.warn(message)
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}
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}
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/* eslint-enable no-console */
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})(this)
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/**
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* Convert an object to a string.
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*
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* In the case of `null` and `undefined` the function returns
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* the empty string, in all other cases the result of calling
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* `toString` on the passed object is returned.
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*
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* @param {Any} obj The object to convert to a string.
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* @return {String} string representation of the passed object.
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* @memberOf Utils
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*/
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lunr.utils.asString = function (obj) {
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if (obj === void 0 || obj === null) {
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return ""
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} else {
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return obj.toString()
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}
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}
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lunr.FieldRef = function (docRef, fieldName, stringValue) {
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this.docRef = docRef
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this.fieldName = fieldName
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this._stringValue = stringValue
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}
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lunr.FieldRef.joiner = "/"
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lunr.FieldRef.fromString = function (s) {
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var n = s.indexOf(lunr.FieldRef.joiner)
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if (n === -1) {
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throw "malformed field ref string"
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}
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var fieldRef = s.slice(0, n),
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docRef = s.slice(n + 1)
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return new lunr.FieldRef (docRef, fieldRef, s)
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}
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lunr.FieldRef.prototype.toString = function () {
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if (this._stringValue == undefined) {
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this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef
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}
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return this._stringValue
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}
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/**
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* A function to calculate the inverse document frequency for
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* a posting. This is shared between the builder and the index
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*
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* @private
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* @param {object} posting - The posting for a given term
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* @param {number} documentCount - The total number of documents.
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*/
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lunr.idf = function (posting, documentCount) {
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var documentsWithTerm = 0
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for (var fieldName in posting) {
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if (fieldName == '_index') continue // Ignore the term index, its not a field
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documentsWithTerm += Object.keys(posting[fieldName]).length
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}
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var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)
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return Math.log(1 + Math.abs(x))
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}
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/**
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* A token wraps a string representation of a token
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* as it is passed through the text processing pipeline.
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*
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* @constructor
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* @param {string} [str=''] - The string token being wrapped.
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* @param {object} [metadata={}] - Metadata associated with this token.
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*/
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lunr.Token = function (str, metadata) {
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this.str = str || ""
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this.metadata = metadata || {}
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}
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/**
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* Returns the token string that is being wrapped by this object.
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*
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* @returns {string}
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*/
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lunr.Token.prototype.toString = function () {
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return this.str
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}
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/**
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* A token update function is used when updating or optionally
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* when cloning a token.
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*
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* @callback lunr.Token~updateFunction
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* @param {string} str - The string representation of the token.
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* @param {Object} metadata - All metadata associated with this token.
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*/
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/**
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* Applies the given function to the wrapped string token.
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*
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* @example
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* token.update(function (str, metadata) {
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* return str.toUpperCase()
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* })
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*
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* @param {lunr.Token~updateFunction} fn - A function to apply to the token string.
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* @returns {lunr.Token}
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*/
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lunr.Token.prototype.update = function (fn) {
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this.str = fn(this.str, this.metadata)
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return this
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}
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/**
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* Creates a clone of this token. Optionally a function can be
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* applied to the cloned token.
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*
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* @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.
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* @returns {lunr.Token}
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*/
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lunr.Token.prototype.clone = function (fn) {
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fn = fn || function (s) { return s }
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return new lunr.Token (fn(this.str, this.metadata), this.metadata)
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}
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/*!
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* lunr.tokenizer
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* Copyright (C) 2018 Oliver Nightingale
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*/
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/**
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* A function for splitting a string into tokens ready to be inserted into
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* the search index. Uses `lunr.tokenizer.separator` to split strings, change
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* the value of this property to change how strings are split into tokens.
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*
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* This tokenizer will convert its parameter to a string by calling `toString` and
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* then will split this string on the character in `lunr.tokenizer.separator`.
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* Arrays will have their elements converted to strings and wrapped in a lunr.Token.
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*
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* @static
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* @param {?(string|object|object[])} obj - The object to convert into tokens
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* @returns {lunr.Token[]}
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*/
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lunr.tokenizer = function (obj) {
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if (obj == null || obj == undefined) {
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return []
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}
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if (Array.isArray(obj)) {
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return obj.map(function (t) {
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return new lunr.Token(lunr.utils.asString(t).toLowerCase())
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})
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}
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var str = obj.toString().trim().toLowerCase(),
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len = str.length,
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tokens = []
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for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {
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var char = str.charAt(sliceEnd),
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sliceLength = sliceEnd - sliceStart
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if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {
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if (sliceLength > 0) {
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tokens.push(
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new lunr.Token (str.slice(sliceStart, sliceEnd), {
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position: [sliceStart, sliceLength],
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index: tokens.length
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})
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)
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}
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sliceStart = sliceEnd + 1
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}
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}
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return tokens
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}
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/**
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* The separator used to split a string into tokens. Override this property to change the behaviour of
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* `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.
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*
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* @static
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* @see lunr.tokenizer
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*/
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lunr.tokenizer.separator = /[\s\-]+/
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/*!
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* lunr.Pipeline
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* Copyright (C) 2018 Oliver Nightingale
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*/
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/**
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* lunr.Pipelines maintain an ordered list of functions to be applied to all
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* tokens in documents entering the search index and queries being ran against
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* the index.
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*
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* An instance of lunr.Index created with the lunr shortcut will contain a
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* pipeline with a stop word filter and an English language stemmer. Extra
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* functions can be added before or after either of these functions or these
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* default functions can be removed.
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*
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* When run the pipeline will call each function in turn, passing a token, the
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* index of that token in the original list of all tokens and finally a list of
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* all the original tokens.
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*
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* The output of functions in the pipeline will be passed to the next function
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* in the pipeline. To exclude a token from entering the index the function
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* should return undefined, the rest of the pipeline will not be called with
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* this token.
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*
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* For serialisation of pipelines to work, all functions used in an instance of
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* a pipeline should be registered with lunr.Pipeline. Registered functions can
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* then be loaded. If trying to load a serialised pipeline that uses functions
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* that are not registered an error will be thrown.
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*
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* If not planning on serialising the pipeline then registering pipeline functions
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* is not necessary.
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*
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* @constructor
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*/
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lunr.Pipeline = function () {
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this._stack = []
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}
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lunr.Pipeline.registeredFunctions = Object.create(null)
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/**
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* A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token
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* string as well as all known metadata. A pipeline function can mutate the token string
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* or mutate (or add) metadata for a given token.
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*
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* A pipeline function can indicate that the passed token should be discarded by returning
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* null. This token will not be passed to any downstream pipeline functions and will not be
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* added to the index.
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*
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* Multiple tokens can be returned by returning an array of tokens. Each token will be passed
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* to any downstream pipeline functions and all will returned tokens will be added to the index.
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*
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* Any number of pipeline functions may be chained together using a lunr.Pipeline.
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*
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* @interface lunr.PipelineFunction
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* @param {lunr.Token} token - A token from the document being processed.
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* @param {number} i - The index of this token in the complete list of tokens for this document/field.
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* @param {lunr.Token[]} tokens - All tokens for this document/field.
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* @returns {(?lunr.Token|lunr.Token[])}
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*/
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/**
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* Register a function with the pipeline.
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*
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* Functions that are used in the pipeline should be registered if the pipeline
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* needs to be serialised, or a serialised pipeline needs to be loaded.
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*
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* Registering a function does not add it to a pipeline, functions must still be
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* added to instances of the pipeline for them to be used when running a pipeline.
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*
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* @param {lunr.PipelineFunction} fn - The function to check for.
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* @param {String} label - The label to register this function with
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*/
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lunr.Pipeline.registerFunction = function (fn, label) {
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if (label in this.registeredFunctions) {
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lunr.utils.warn('Overwriting existing registered function: ' + label)
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}
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fn.label = label
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lunr.Pipeline.registeredFunctions[fn.label] = fn
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}
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/**
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* Warns if the function is not registered as a Pipeline function.
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*
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* @param {lunr.PipelineFunction} fn - The function to check for.
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* @private
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*/
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lunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {
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var isRegistered = fn.label && (fn.label in this.registeredFunctions)
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if (!isRegistered) {
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lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\n', fn)
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}
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}
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/**
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* Loads a previously serialised pipeline.
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*
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* All functions to be loaded must already be registered with lunr.Pipeline.
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* If any function from the serialised data has not been registered then an
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* error will be thrown.
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*
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* @param {Object} serialised - The serialised pipeline to load.
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* @returns {lunr.Pipeline}
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*/
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lunr.Pipeline.load = function (serialised) {
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var pipeline = new lunr.Pipeline
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serialised.forEach(function (fnName) {
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var fn = lunr.Pipeline.registeredFunctions[fnName]
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if (fn) {
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pipeline.add(fn)
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} else {
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throw new Error('Cannot load unregistered function: ' + fnName)
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}
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})
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return pipeline
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}
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/**
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* Adds new functions to the end of the pipeline.
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*
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* Logs a warning if the function has not been registered.
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*
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* @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.
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*/
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lunr.Pipeline.prototype.add = function () {
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var fns = Array.prototype.slice.call(arguments)
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fns.forEach(function (fn) {
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lunr.Pipeline.warnIfFunctionNotRegistered(fn)
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this._stack.push(fn)
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}, this)
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}
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/**
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* Adds a single function after a function that already exists in the
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* pipeline.
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*
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* Logs a warning if the function has not been registered.
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*
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* @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.
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* @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.
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*/
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lunr.Pipeline.prototype.after = function (existingFn, newFn) {
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lunr.Pipeline.warnIfFunctionNotRegistered(newFn)
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var pos = this._stack.indexOf(existingFn)
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if (pos == -1) {
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throw new Error('Cannot find existingFn')
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}
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pos = pos + 1
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this._stack.splice(pos, 0, newFn)
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}
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/**
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* Adds a single function before a function that already exists in the
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* pipeline.
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*
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* Logs a warning if the function has not been registered.
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*
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* @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.
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* @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.
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*/
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lunr.Pipeline.prototype.before = function (existingFn, newFn) {
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lunr.Pipeline.warnIfFunctionNotRegistered(newFn)
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var pos = this._stack.indexOf(existingFn)
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if (pos == -1) {
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throw new Error('Cannot find existingFn')
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}
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this._stack.splice(pos, 0, newFn)
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}
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/**
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* Removes a function from the pipeline.
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*
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* @param {lunr.PipelineFunction} fn The function to remove from the pipeline.
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*/
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lunr.Pipeline.prototype.remove = function (fn) {
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var pos = this._stack.indexOf(fn)
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if (pos == -1) {
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return
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}
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this._stack.splice(pos, 1)
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}
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|
|
/**
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|
* Runs the current list of functions that make up the pipeline against the
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* passed tokens.
|
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*
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* @param {Array} tokens The tokens to run through the pipeline.
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* @returns {Array}
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*/
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lunr.Pipeline.prototype.run = function (tokens) {
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var stackLength = this._stack.length
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for (var i = 0; i < stackLength; i++) {
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var fn = this._stack[i]
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var memo = []
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for (var j = 0; j < tokens.length; j++) {
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var result = fn(tokens[j], j, tokens)
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if (result === void 0 || result === '') continue
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|
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if (result instanceof Array) {
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for (var k = 0; k < result.length; k++) {
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memo.push(result[k])
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}
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} else {
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memo.push(result)
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}
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}
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tokens = memo
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}
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return tokens
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}
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|
|
/**
|
|
* Convenience method for passing a string through a pipeline and getting
|
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* strings out. This method takes care of wrapping the passed string in a
|
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* token and mapping the resulting tokens back to strings.
|
|
*
|
|
* @param {string} str - The string to pass through the pipeline.
|
|
* @returns {string[]}
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*/
|
|
lunr.Pipeline.prototype.runString = function (str) {
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var token = new lunr.Token (str)
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return this.run([token]).map(function (t) {
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return t.toString()
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})
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}
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|
|
/**
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|
* Resets the pipeline by removing any existing processors.
|
|
*
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|
*/
|
|
lunr.Pipeline.prototype.reset = function () {
|
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this._stack = []
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}
|
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|
|
/**
|
|
* Returns a representation of the pipeline ready for serialisation.
|
|
*
|
|
* Logs a warning if the function has not been registered.
|
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*
|
|
* @returns {Array}
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*/
|
|
lunr.Pipeline.prototype.toJSON = function () {
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return this._stack.map(function (fn) {
|
|
lunr.Pipeline.warnIfFunctionNotRegistered(fn)
|
|
|
|
return fn.label
|
|
})
|
|
}
|
|
/*!
|
|
* lunr.Vector
|
|
* Copyright (C) 2018 Oliver Nightingale
|
|
*/
|
|
|
|
/**
|
|
* A vector is used to construct the vector space of documents and queries. These
|
|
* vectors support operations to determine the similarity between two documents or
|
|
* a document and a query.
|
|
*
|
|
* Normally no parameters are required for initializing a vector, but in the case of
|
|
* loading a previously dumped vector the raw elements can be provided to the constructor.
|
|
*
|
|
* For performance reasons vectors are implemented with a flat array, where an elements
|
|
* index is immediately followed by its value. E.g. [index, value, index, value]. This
|
|
* allows the underlying array to be as sparse as possible and still offer decent
|
|
* performance when being used for vector calculations.
|
|
*
|
|
* @constructor
|
|
* @param {Number[]} [elements] - The flat list of element index and element value pairs.
|
|
*/
|
|
lunr.Vector = function (elements) {
|
|
this._magnitude = 0
|
|
this.elements = elements || []
|
|
}
|
|
|
|
|
|
/**
|
|
* Calculates the position within the vector to insert a given index.
|
|
*
|
|
* This is used internally by insert and upsert. If there are duplicate indexes then
|
|
* the position is returned as if the value for that index were to be updated, but it
|
|
* is the callers responsibility to check whether there is a duplicate at that index
|
|
*
|
|
* @param {Number} insertIdx - The index at which the element should be inserted.
|
|
* @returns {Number}
|
|
*/
|
|
lunr.Vector.prototype.positionForIndex = function (index) {
|
|
// For an empty vector the tuple can be inserted at the beginning
|
|
if (this.elements.length == 0) {
|
|
return 0
|
|
}
|
|
|
|
var start = 0,
|
|
end = this.elements.length / 2,
|
|
sliceLength = end - start,
|
|
pivotPoint = Math.floor(sliceLength / 2),
|
|
pivotIndex = this.elements[pivotPoint * 2]
|
|
|
|
while (sliceLength > 1) {
|
|
if (pivotIndex < index) {
|
|
start = pivotPoint
|
|
}
|
|
|
|
if (pivotIndex > index) {
|
|
end = pivotPoint
|
|
}
|
|
|
|
if (pivotIndex == index) {
|
|
break
|
|
}
|
|
|
|
sliceLength = end - start
|
|
pivotPoint = start + Math.floor(sliceLength / 2)
|
|
pivotIndex = this.elements[pivotPoint * 2]
|
|
}
|
|
|
|
if (pivotIndex == index) {
|
|
return pivotPoint * 2
|
|
}
|
|
|
|
if (pivotIndex > index) {
|
|
return pivotPoint * 2
|
|
}
|
|
|
|
if (pivotIndex < index) {
|
|
return (pivotPoint + 1) * 2
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Inserts an element at an index within the vector.
|
|
*
|
|
* Does not allow duplicates, will throw an error if there is already an entry
|
|
* for this index.
|
|
*
|
|
* @param {Number} insertIdx - The index at which the element should be inserted.
|
|
* @param {Number} val - The value to be inserted into the vector.
|
|
*/
|
|
lunr.Vector.prototype.insert = function (insertIdx, val) {
|
|
this.upsert(insertIdx, val, function () {
|
|
throw "duplicate index"
|
|
})
|
|
}
|
|
|
|
/**
|
|
* Inserts or updates an existing index within the vector.
|
|
*
|
|
* @param {Number} insertIdx - The index at which the element should be inserted.
|
|
* @param {Number} val - The value to be inserted into the vector.
|
|
* @param {function} fn - A function that is called for updates, the existing value and the
|
|
* requested value are passed as arguments
|
|
*/
|
|
lunr.Vector.prototype.upsert = function (insertIdx, val, fn) {
|
|
this._magnitude = 0
|
|
var position = this.positionForIndex(insertIdx)
|
|
|
|
if (this.elements[position] == insertIdx) {
|
|
this.elements[position + 1] = fn(this.elements[position + 1], val)
|
|
} else {
|
|
this.elements.splice(position, 0, insertIdx, val)
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Calculates the magnitude of this vector.
|
|
*
|
|
* @returns {Number}
|
|
*/
|
|
lunr.Vector.prototype.magnitude = function () {
|
|
if (this._magnitude) return this._magnitude
|
|
|
|
var sumOfSquares = 0,
|
|
elementsLength = this.elements.length
|
|
|
|
for (var i = 1; i < elementsLength; i += 2) {
|
|
var val = this.elements[i]
|
|
sumOfSquares += val * val
|
|
}
|
|
|
|
return this._magnitude = Math.sqrt(sumOfSquares)
|
|
}
|
|
|
|
/**
|
|
* Calculates the dot product of this vector and another vector.
|
|
*
|
|
* @param {lunr.Vector} otherVector - The vector to compute the dot product with.
|
|
* @returns {Number}
|
|
*/
|
|
lunr.Vector.prototype.dot = function (otherVector) {
|
|
var dotProduct = 0,
|
|
a = this.elements, b = otherVector.elements,
|
|
aLen = a.length, bLen = b.length,
|
|
aVal = 0, bVal = 0,
|
|
i = 0, j = 0
|
|
|
|
while (i < aLen && j < bLen) {
|
|
aVal = a[i], bVal = b[j]
|
|
if (aVal < bVal) {
|
|
i += 2
|
|
} else if (aVal > bVal) {
|
|
j += 2
|
|
} else if (aVal == bVal) {
|
|
dotProduct += a[i + 1] * b[j + 1]
|
|
i += 2
|
|
j += 2
|
|
}
|
|
}
|
|
|
|
return dotProduct
|
|
}
|
|
|
|
/**
|
|
* Calculates the cosine similarity between this vector and another
|
|
* vector.
|
|
*
|
|
* @param {lunr.Vector} otherVector - The other vector to calculate the
|
|
* similarity with.
|
|
* @returns {Number}
|
|
*/
|
|
lunr.Vector.prototype.similarity = function (otherVector) {
|
|
return this.dot(otherVector) / (this.magnitude() * otherVector.magnitude())
|
|
}
|
|
|
|
/**
|
|
* Converts the vector to an array of the elements within the vector.
|
|
*
|
|
* @returns {Number[]}
|
|
*/
|
|
lunr.Vector.prototype.toArray = function () {
|
|
var output = new Array (this.elements.length / 2)
|
|
|
|
for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {
|
|
output[j] = this.elements[i]
|
|
}
|
|
|
|
return output
|
|
}
|
|
|
|
/**
|
|
* A JSON serializable representation of the vector.
|
|
*
|
|
* @returns {Number[]}
|
|
*/
|
|
lunr.Vector.prototype.toJSON = function () {
|
|
return this.elements
|
|
}
|
|
/* eslint-disable */
|
|
/*!
|
|
* lunr.stemmer
|
|
* Copyright (C) 2018 Oliver Nightingale
|
|
* Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt
|
|
*/
|
|
|
|
/**
|
|
* lunr.stemmer is an english language stemmer, this is a JavaScript
|
|
* implementation of the PorterStemmer taken from http://tartarus.org/~martin
|
|
*
|
|
* @static
|
|
* @implements {lunr.PipelineFunction}
|
|
* @param {lunr.Token} token - The string to stem
|
|
* @returns {lunr.Token}
|
|
* @see {@link lunr.Pipeline}
|
|
*/
|
|
lunr.stemmer = (function(){
|
|
var step2list = {
|
|
"ational" : "ate",
|
|
"tional" : "tion",
|
|
"enci" : "ence",
|
|
"anci" : "ance",
|
|
"izer" : "ize",
|
|
"bli" : "ble",
|
|
"alli" : "al",
|
|
"entli" : "ent",
|
|
"eli" : "e",
|
|
"ousli" : "ous",
|
|
"ization" : "ize",
|
|
"ation" : "ate",
|
|
"ator" : "ate",
|
|
"alism" : "al",
|
|
"iveness" : "ive",
|
|
"fulness" : "ful",
|
|
"ousness" : "ous",
|
|
"aliti" : "al",
|
|
"iviti" : "ive",
|
|
"biliti" : "ble",
|
|
"logi" : "log"
|
|
},
|
|
|
|
step3list = {
|
|
"icate" : "ic",
|
|
"ative" : "",
|
|
"alize" : "al",
|
|
"iciti" : "ic",
|
|
"ical" : "ic",
|
|
"ful" : "",
|
|
"ness" : ""
|
|
},
|
|
|
|
c = "[^aeiou]", // consonant
|
|
v = "[aeiouy]", // vowel
|
|
C = c + "[^aeiouy]*", // consonant sequence
|
|
V = v + "[aeiou]*", // vowel sequence
|
|
|
|
mgr0 = "^(" + C + ")?" + V + C, // [C]VC... is m>0
|
|
meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$", // [C]VC[V] is m=1
|
|
mgr1 = "^(" + C + ")?" + V + C + V + C, // [C]VCVC... is m>1
|
|
s_v = "^(" + C + ")?" + v; // vowel in stem
|
|
|
|
var re_mgr0 = new RegExp(mgr0);
|
|
var re_mgr1 = new RegExp(mgr1);
|
|
var re_meq1 = new RegExp(meq1);
|
|
var re_s_v = new RegExp(s_v);
|
|
|
|
var re_1a = /^(.+?)(ss|i)es$/;
|
|
var re2_1a = /^(.+?)([^s])s$/;
|
|
var re_1b = /^(.+?)eed$/;
|
|
var re2_1b = /^(.+?)(ed|ing)$/;
|
|
var re_1b_2 = /.$/;
|
|
var re2_1b_2 = /(at|bl|iz)$/;
|
|
var re3_1b_2 = new RegExp("([^aeiouylsz])\\1$");
|
|
var re4_1b_2 = new RegExp("^" + C + v + "[^aeiouwxy]$");
|
|
|
|
var re_1c = /^(.+?[^aeiou])y$/;
|
|
var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
|
|
|
|
var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
|
|
|
|
var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
|
|
var re2_4 = /^(.+?)(s|t)(ion)$/;
|
|
|
|
var re_5 = /^(.+?)e$/;
|
|
var re_5_1 = /ll$/;
|
|
var re3_5 = new RegExp("^" + C + v + "[^aeiouwxy]$");
|
|
|
|
var porterStemmer = function porterStemmer(w) {
|
|
var stem,
|
|
suffix,
|
|
firstch,
|
|
re,
|
|
re2,
|
|
re3,
|
|
re4;
|
|
|
|
if (w.length < 3) { return w; }
|
|
|
|
firstch = w.substr(0,1);
|
|
if (firstch == "y") {
|
|
w = firstch.toUpperCase() + w.substr(1);
|
|
}
|
|
|
|
// Step 1a
|
|
re = re_1a
|
|
re2 = re2_1a;
|
|
|
|
if (re.test(w)) { w = w.replace(re,"$1$2"); }
|
|
else if (re2.test(w)) { w = w.replace(re2,"$1$2"); }
|
|
|
|
// Step 1b
|
|
re = re_1b;
|
|
re2 = re2_1b;
|
|
if (re.test(w)) {
|
|
var fp = re.exec(w);
|
|
re = re_mgr0;
|
|
if (re.test(fp[1])) {
|
|
re = re_1b_2;
|
|
w = w.replace(re,"");
|
|
}
|
|
} else if (re2.test(w)) {
|
|
var fp = re2.exec(w);
|
|
stem = fp[1];
|
|
re2 = re_s_v;
|
|
if (re2.test(stem)) {
|
|
w = stem;
|
|
re2 = re2_1b_2;
|
|
re3 = re3_1b_2;
|
|
re4 = re4_1b_2;
|
|
if (re2.test(w)) { w = w + "e"; }
|
|
else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,""); }
|
|
else if (re4.test(w)) { w = w + "e"; }
|
|
}
|
|
}
|
|
|
|
// Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)
|
|
re = re_1c;
|
|
if (re.test(w)) {
|
|
var fp = re.exec(w);
|
|
stem = fp[1];
|
|
w = stem + "i";
|
|
}
|
|
|
|
// Step 2
|
|
re = re_2;
|
|
if (re.test(w)) {
|
|
var fp = re.exec(w);
|
|
stem = fp[1];
|
|
suffix = fp[2];
|
|
re = re_mgr0;
|
|
if (re.test(stem)) {
|
|
w = stem + step2list[suffix];
|
|
}
|
|
}
|
|
|
|
// Step 3
|
|
re = re_3;
|
|
if (re.test(w)) {
|
|
var fp = re.exec(w);
|
|
stem = fp[1];
|
|
suffix = fp[2];
|
|
re = re_mgr0;
|
|
if (re.test(stem)) {
|
|
w = stem + step3list[suffix];
|
|
}
|
|
}
|
|
|
|
// Step 4
|
|
re = re_4;
|
|
re2 = re2_4;
|
|
if (re.test(w)) {
|
|
var fp = re.exec(w);
|
|
stem = fp[1];
|
|
re = re_mgr1;
|
|
if (re.test(stem)) {
|
|
w = stem;
|
|
}
|
|
} else if (re2.test(w)) {
|
|
var fp = re2.exec(w);
|
|
stem = fp[1] + fp[2];
|
|
re2 = re_mgr1;
|
|
if (re2.test(stem)) {
|
|
w = stem;
|
|
}
|
|
}
|
|
|
|
// Step 5
|
|
re = re_5;
|
|
if (re.test(w)) {
|
|
var fp = re.exec(w);
|
|
stem = fp[1];
|
|
re = re_mgr1;
|
|
re2 = re_meq1;
|
|
re3 = re3_5;
|
|
if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {
|
|
w = stem;
|
|
}
|
|
}
|
|
|
|
re = re_5_1;
|
|
re2 = re_mgr1;
|
|
if (re.test(w) && re2.test(w)) {
|
|
re = re_1b_2;
|
|
w = w.replace(re,"");
|
|
}
|
|
|
|
// and turn initial Y back to y
|
|
|
|
if (firstch == "y") {
|
|
w = firstch.toLowerCase() + w.substr(1);
|
|
}
|
|
|
|
return w;
|
|
};
|
|
|
|
return function (token) {
|
|
return token.update(porterStemmer);
|
|
}
|
|
})();
|
|
|
|
lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')
|
|
/*!
|
|
* lunr.stopWordFilter
|
|
* Copyright (C) 2018 Oliver Nightingale
|
|
*/
|
|
|
|
/**
|
|
* lunr.generateStopWordFilter builds a stopWordFilter function from the provided
|
|
* list of stop words.
|
|
*
|
|
* The built in lunr.stopWordFilter is built using this generator and can be used
|
|
* to generate custom stopWordFilters for applications or non English languages.
|
|
*
|
|
* @param {Array} token The token to pass through the filter
|
|
* @returns {lunr.PipelineFunction}
|
|
* @see lunr.Pipeline
|
|
* @see lunr.stopWordFilter
|
|
*/
|
|
lunr.generateStopWordFilter = function (stopWords) {
|
|
var words = stopWords.reduce(function (memo, stopWord) {
|
|
memo[stopWord] = stopWord
|
|
return memo
|
|
}, {})
|
|
|
|
return function (token) {
|
|
if (token && words[token.toString()] !== token.toString()) return token
|
|
}
|
|
}
|
|
|
|
/**
|
|
* lunr.stopWordFilter is an English language stop word list filter, any words
|
|
* contained in the list will not be passed through the filter.
|
|
*
|
|
* This is intended to be used in the Pipeline. If the token does not pass the
|
|
* filter then undefined will be returned.
|
|
*
|
|
* @implements {lunr.PipelineFunction}
|
|
* @params {lunr.Token} token - A token to check for being a stop word.
|
|
* @returns {lunr.Token}
|
|
* @see {@link lunr.Pipeline}
|
|
*/
|
|
lunr.stopWordFilter = lunr.generateStopWordFilter([
|
|
'a',
|
|
'able',
|
|
'about',
|
|
'across',
|
|
'after',
|
|
'all',
|
|
'almost',
|
|
'also',
|
|
'am',
|
|
'among',
|
|
'an',
|
|
'and',
|
|
'any',
|
|
'are',
|
|
'as',
|
|
'at',
|
|
'be',
|
|
'because',
|
|
'been',
|
|
'but',
|
|
'by',
|
|
'can',
|
|
'cannot',
|
|
'could',
|
|
'dear',
|
|
'did',
|
|
'do',
|
|
'does',
|
|
'either',
|
|
'else',
|
|
'ever',
|
|
'every',
|
|
'for',
|
|
'from',
|
|
'get',
|
|
'got',
|
|
'had',
|
|
'has',
|
|
'have',
|
|
'he',
|
|
'her',
|
|
'hers',
|
|
'him',
|
|
'his',
|
|
'how',
|
|
'however',
|
|
'i',
|
|
'if',
|
|
'in',
|
|
'into',
|
|
'is',
|
|
'it',
|
|
'its',
|
|
'just',
|
|
'least',
|
|
'let',
|
|
'like',
|
|
'likely',
|
|
'may',
|
|
'me',
|
|
'might',
|
|
'most',
|
|
'must',
|
|
'my',
|
|
'neither',
|
|
'no',
|
|
'nor',
|
|
'not',
|
|
'of',
|
|
'off',
|
|
'often',
|
|
'on',
|
|
'only',
|
|
'or',
|
|
'other',
|
|
'our',
|
|
'own',
|
|
'rather',
|
|
'said',
|
|
'say',
|
|
'says',
|
|
'she',
|
|
'should',
|
|
'since',
|
|
'so',
|
|
'some',
|
|
'than',
|
|
'that',
|
|
'the',
|
|
'their',
|
|
'them',
|
|
'then',
|
|
'there',
|
|
'these',
|
|
'they',
|
|
'this',
|
|
'tis',
|
|
'to',
|
|
'too',
|
|
'twas',
|
|
'us',
|
|
'wants',
|
|
'was',
|
|
'we',
|
|
'were',
|
|
'what',
|
|
'when',
|
|
'where',
|
|
'which',
|
|
'while',
|
|
'who',
|
|
'whom',
|
|
'why',
|
|
'will',
|
|
'with',
|
|
'would',
|
|
'yet',
|
|
'you',
|
|
'your'
|
|
])
|
|
|
|
lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')
|
|
/*!
|
|
* lunr.trimmer
|
|
* Copyright (C) 2018 Oliver Nightingale
|
|
*/
|
|
|
|
/**
|
|
* lunr.trimmer is a pipeline function for trimming non word
|
|
* characters from the beginning and end of tokens before they
|
|
* enter the index.
|
|
*
|
|
* This implementation may not work correctly for non latin
|
|
* characters and should either be removed or adapted for use
|
|
* with languages with non-latin characters.
|
|
*
|
|
* @static
|
|
* @implements {lunr.PipelineFunction}
|
|
* @param {lunr.Token} token The token to pass through the filter
|
|
* @returns {lunr.Token}
|
|
* @see lunr.Pipeline
|
|
*/
|
|
lunr.trimmer = function (token) {
|
|
return token.update(function (s) {
|
|
return s.replace(/^\W+/, '').replace(/\W+$/, '')
|
|
})
|
|
}
|
|
|
|
lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')
|
|
/*!
|
|
* lunr.TokenSet
|
|
* Copyright (C) 2018 Oliver Nightingale
|
|
*/
|
|
|
|
/**
|
|
* A token set is used to store the unique list of all tokens
|
|
* within an index. Token sets are also used to represent an
|
|
* incoming query to the index, this query token set and index
|
|
* token set are then intersected to find which tokens to look
|
|
* up in the inverted index.
|
|
*
|
|
* A token set can hold multiple tokens, as in the case of the
|
|
* index token set, or it can hold a single token as in the
|
|
* case of a simple query token set.
|
|
*
|
|
* Additionally token sets are used to perform wildcard matching.
|
|
* Leading, contained and trailing wildcards are supported, and
|
|
* from this edit distance matching can also be provided.
|
|
*
|
|
* Token sets are implemented as a minimal finite state automata,
|
|
* where both common prefixes and suffixes are shared between tokens.
|
|
* This helps to reduce the space used for storing the token set.
|
|
*
|
|
* @constructor
|
|
*/
|
|
lunr.TokenSet = function () {
|
|
this.final = false
|
|
this.edges = {}
|
|
this.id = lunr.TokenSet._nextId
|
|
lunr.TokenSet._nextId += 1
|
|
}
|
|
|
|
/**
|
|
* Keeps track of the next, auto increment, identifier to assign
|
|
* to a new tokenSet.
|
|
*
|
|
* TokenSets require a unique identifier to be correctly minimised.
|
|
*
|
|
* @private
|
|
*/
|
|
lunr.TokenSet._nextId = 1
|
|
|
|
/**
|
|
* Creates a TokenSet instance from the given sorted array of words.
|
|
*
|
|
* @param {String[]} arr - A sorted array of strings to create the set from.
|
|
* @returns {lunr.TokenSet}
|
|
* @throws Will throw an error if the input array is not sorted.
|
|
*/
|
|
lunr.TokenSet.fromArray = function (arr) {
|
|
var builder = new lunr.TokenSet.Builder
|
|
|
|
for (var i = 0, len = arr.length; i < len; i++) {
|
|
builder.insert(arr[i])
|
|
}
|
|
|
|
builder.finish()
|
|
return builder.root
|
|
}
|
|
|
|
/**
|
|
* Creates a token set from a query clause.
|
|
*
|
|
* @private
|
|
* @param {Object} clause - A single clause from lunr.Query.
|
|
* @param {string} clause.term - The query clause term.
|
|
* @param {number} [clause.editDistance] - The optional edit distance for the term.
|
|
* @returns {lunr.TokenSet}
|
|
*/
|
|
lunr.TokenSet.fromClause = function (clause) {
|
|
if ('editDistance' in clause) {
|
|
return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)
|
|
} else {
|
|
return lunr.TokenSet.fromString(clause.term)
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Creates a token set representing a single string with a specified
|
|
* edit distance.
|
|
*
|
|
* Insertions, deletions, substitutions and transpositions are each
|
|
* treated as an edit distance of 1.
|
|
*
|
|
* Increasing the allowed edit distance will have a dramatic impact
|
|
* on the performance of both creating and intersecting these TokenSets.
|
|
* It is advised to keep the edit distance less than 3.
|
|
*
|
|
* @param {string} str - The string to create the token set from.
|
|
* @param {number} editDistance - The allowed edit distance to match.
|
|
* @returns {lunr.Vector}
|
|
*/
|
|
lunr.TokenSet.fromFuzzyString = function (str, editDistance) {
|
|
var root = new lunr.TokenSet
|
|
|
|
var stack = [{
|
|
node: root,
|
|
editsRemaining: editDistance,
|
|
str: str
|
|
}]
|
|
|
|
while (stack.length) {
|
|
var frame = stack.pop()
|
|
|
|
// no edit
|
|
if (frame.str.length > 0) {
|
|
var char = frame.str.charAt(0),
|
|
noEditNode
|
|
|
|
if (char in frame.node.edges) {
|
|
noEditNode = frame.node.edges[char]
|
|
} else {
|
|
noEditNode = new lunr.TokenSet
|
|
frame.node.edges[char] = noEditNode
|
|
}
|
|
|
|
if (frame.str.length == 1) {
|
|
noEditNode.final = true
|
|
} else {
|
|
stack.push({
|
|
node: noEditNode,
|
|
editsRemaining: frame.editsRemaining,
|
|
str: frame.str.slice(1)
|
|
})
|
|
}
|
|
}
|
|
|
|
// deletion
|
|
// can only do a deletion if we have enough edits remaining
|
|
// and if there are characters left to delete in the string
|
|
if (frame.editsRemaining > 0 && frame.str.length > 1) {
|
|
var char = frame.str.charAt(1),
|
|
deletionNode
|
|
|
|
if (char in frame.node.edges) {
|
|
deletionNode = frame.node.edges[char]
|
|
} else {
|
|
deletionNode = new lunr.TokenSet
|
|
frame.node.edges[char] = deletionNode
|
|
}
|
|
|
|
if (frame.str.length <= 2) {
|
|
deletionNode.final = true
|
|
} else {
|
|
stack.push({
|
|
node: deletionNode,
|
|
editsRemaining: frame.editsRemaining - 1,
|
|
str: frame.str.slice(2)
|
|
})
|
|
}
|
|
}
|
|
|
|
// deletion
|
|
// just removing the last character from the str
|
|
if (frame.editsRemaining > 0 && frame.str.length == 1) {
|
|
frame.node.final = true
|
|
}
|
|
|
|
// substitution
|
|
// can only do a substitution if we have enough edits remaining
|
|
// and if there are characters left to substitute
|
|
if (frame.editsRemaining > 0 && frame.str.length >= 1) {
|
|
if ("*" in frame.node.edges) {
|
|
var substitutionNode = frame.node.edges["*"]
|
|
} else {
|
|
var substitutionNode = new lunr.TokenSet
|
|
frame.node.edges["*"] = substitutionNode
|
|
}
|
|
|
|
if (frame.str.length == 1) {
|
|
substitutionNode.final = true
|
|
} else {
|
|
stack.push({
|
|
node: substitutionNode,
|
|
editsRemaining: frame.editsRemaining - 1,
|
|
str: frame.str.slice(1)
|
|
})
|
|
}
|
|
}
|
|
|
|
// insertion
|
|
// can only do insertion if there are edits remaining
|
|
if (frame.editsRemaining > 0) {
|
|
if ("*" in frame.node.edges) {
|
|
var insertionNode = frame.node.edges["*"]
|
|
} else {
|
|
var insertionNode = new lunr.TokenSet
|
|
frame.node.edges["*"] = insertionNode
|
|
}
|
|
|
|
if (frame.str.length == 0) {
|
|
insertionNode.final = true
|
|
} else {
|
|
stack.push({
|
|
node: insertionNode,
|
|
editsRemaining: frame.editsRemaining - 1,
|
|
str: frame.str
|
|
})
|
|
}
|
|
}
|
|
|
|
// transposition
|
|
// can only do a transposition if there are edits remaining
|
|
// and there are enough characters to transpose
|
|
if (frame.editsRemaining > 0 && frame.str.length > 1) {
|
|
var charA = frame.str.charAt(0),
|
|
charB = frame.str.charAt(1),
|
|
transposeNode
|
|
|
|
if (charB in frame.node.edges) {
|
|
transposeNode = frame.node.edges[charB]
|
|
} else {
|
|
transposeNode = new lunr.TokenSet
|
|
frame.node.edges[charB] = transposeNode
|
|
}
|
|
|
|
if (frame.str.length == 1) {
|
|
transposeNode.final = true
|
|
} else {
|
|
stack.push({
|
|
node: transposeNode,
|
|
editsRemaining: frame.editsRemaining - 1,
|
|
str: charA + frame.str.slice(2)
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
return root
|
|
}
|
|
|
|
/**
|
|
* Creates a TokenSet from a string.
|
|
*
|
|
* The string may contain one or more wildcard characters (*)
|
|
* that will allow wildcard matching when intersecting with
|
|
* another TokenSet.
|
|
*
|
|
* @param {string} str - The string to create a TokenSet from.
|
|
* @returns {lunr.TokenSet}
|
|
*/
|
|
lunr.TokenSet.fromString = function (str) {
|
|
var node = new lunr.TokenSet,
|
|
root = node,
|
|
wildcardFound = false
|
|
|
|
/*
|
|
* Iterates through all characters within the passed string
|
|
* appending a node for each character.
|
|
*
|
|
* As soon as a wildcard character is found then a self
|
|
* referencing edge is introduced to continually match
|
|
* any number of any characters.
|
|
*/
|
|
for (var i = 0, len = str.length; i < len; i++) {
|
|
var char = str[i],
|
|
final = (i == len - 1)
|
|
|
|
if (char == "*") {
|
|
wildcardFound = true
|
|
node.edges[char] = node
|
|
node.final = final
|
|
|
|
} else {
|
|
var next = new lunr.TokenSet
|
|
next.final = final
|
|
|
|
node.edges[char] = next
|
|
node = next
|
|
|
|
// TODO: is this needed anymore?
|
|
if (wildcardFound) {
|
|
node.edges["*"] = root
|
|
}
|
|
}
|
|
}
|
|
|
|
return root
|
|
}
|
|
|
|
/**
|
|
* Converts this TokenSet into an array of strings
|
|
* contained within the TokenSet.
|
|
*
|
|
* @returns {string[]}
|
|
*/
|
|
lunr.TokenSet.prototype.toArray = function () {
|
|
var words = []
|
|
|
|
var stack = [{
|
|
prefix: "",
|
|
node: this
|
|
}]
|
|
|
|
while (stack.length) {
|
|
var frame = stack.pop(),
|
|
edges = Object.keys(frame.node.edges),
|
|
len = edges.length
|
|
|
|
if (frame.node.final) {
|
|
frame.prefix.charAt(0)
|
|
words.push(frame.prefix)
|
|
}
|
|
|
|
for (var i = 0; i < len; i++) {
|
|
var edge = edges[i]
|
|
|
|
stack.push({
|
|
prefix: frame.prefix.concat(edge),
|
|
node: frame.node.edges[edge]
|
|
})
|
|
}
|
|
}
|
|
|
|
return words
|
|
}
|
|
|
|
/**
|
|
* Generates a string representation of a TokenSet.
|
|
*
|
|
* This is intended to allow TokenSets to be used as keys
|
|
* in objects, largely to aid the construction and minimisation
|
|
* of a TokenSet. As such it is not designed to be a human
|
|
* friendly representation of the TokenSet.
|
|
*
|
|
* @returns {string}
|
|
*/
|
|
lunr.TokenSet.prototype.toString = function () {
|
|
// NOTE: Using Object.keys here as this.edges is very likely
|
|
// to enter 'hash-mode' with many keys being added
|
|
//
|
|
// avoiding a for-in loop here as it leads to the function
|
|
// being de-optimised (at least in V8). From some simple
|
|
// benchmarks the performance is comparable, but allowing
|
|
// V8 to optimize may mean easy performance wins in the future.
|
|
|
|
if (this._str) {
|
|
return this._str
|
|
}
|
|
|
|
var str = this.final ? '1' : '0',
|
|
labels = Object.keys(this.edges).sort(),
|
|
len = labels.length
|
|
|
|
for (var i = 0; i < len; i++) {
|
|
var label = labels[i],
|
|
node = this.edges[label]
|
|
|
|
str = str + label + node.id
|
|
}
|
|
|
|
return str
|
|
}
|
|
|
|
/**
|
|
* Returns a new TokenSet that is the intersection of
|
|
* this TokenSet and the passed TokenSet.
|
|
*
|
|
* This intersection will take into account any wildcards
|
|
* contained within the TokenSet.
|
|
*
|
|
* @param {lunr.TokenSet} b - An other TokenSet to intersect with.
|
|
* @returns {lunr.TokenSet}
|
|
*/
|
|
lunr.TokenSet.prototype.intersect = function (b) {
|
|
var output = new lunr.TokenSet,
|
|
frame = undefined
|
|
|
|
var stack = [{
|
|
qNode: b,
|
|
output: output,
|
|
node: this
|
|
}]
|
|
|
|
while (stack.length) {
|
|
frame = stack.pop()
|
|
|
|
// NOTE: As with the #toString method, we are using
|
|
// Object.keys and a for loop instead of a for-in loop
|
|
// as both of these objects enter 'hash' mode, causing
|
|
// the function to be de-optimised in V8
|
|
var qEdges = Object.keys(frame.qNode.edges),
|
|
qLen = qEdges.length,
|
|
nEdges = Object.keys(frame.node.edges),
|
|
nLen = nEdges.length
|
|
|
|
for (var q = 0; q < qLen; q++) {
|
|
var qEdge = qEdges[q]
|
|
|
|
for (var n = 0; n < nLen; n++) {
|
|
var nEdge = nEdges[n]
|
|
|
|
if (nEdge == qEdge || qEdge == '*') {
|
|
var node = frame.node.edges[nEdge],
|
|
qNode = frame.qNode.edges[qEdge],
|
|
final = node.final && qNode.final,
|
|
next = undefined
|
|
|
|
if (nEdge in frame.output.edges) {
|
|
// an edge already exists for this character
|
|
// no need to create a new node, just set the finality
|
|
// bit unless this node is already final
|
|
next = frame.output.edges[nEdge]
|
|
next.final = next.final || final
|
|
|
|
} else {
|
|
// no edge exists yet, must create one
|
|
// set the finality bit and insert it
|
|
// into the output
|
|
next = new lunr.TokenSet
|
|
next.final = final
|
|
frame.output.edges[nEdge] = next
|
|
}
|
|
|
|
stack.push({
|
|
qNode: qNode,
|
|
output: next,
|
|
node: node
|
|
})
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return output
|
|
}
|
|
lunr.TokenSet.Builder = function () {
|
|
this.previousWord = ""
|
|
this.root = new lunr.TokenSet
|
|
this.uncheckedNodes = []
|
|
this.minimizedNodes = {}
|
|
}
|
|
|
|
lunr.TokenSet.Builder.prototype.insert = function (word) {
|
|
var node,
|
|
commonPrefix = 0
|
|
|
|
if (word < this.previousWord) {
|
|
throw new Error ("Out of order word insertion")
|
|
}
|
|
|
|
for (var i = 0; i < word.length && i < this.previousWord.length; i++) {
|
|
if (word[i] != this.previousWord[i]) break
|
|
commonPrefix++
|
|
}
|
|
|
|
this.minimize(commonPrefix)
|
|
|
|
if (this.uncheckedNodes.length == 0) {
|
|
node = this.root
|
|
} else {
|
|
node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child
|
|
}
|
|
|
|
for (var i = commonPrefix; i < word.length; i++) {
|
|
var nextNode = new lunr.TokenSet,
|
|
char = word[i]
|
|
|
|
node.edges[char] = nextNode
|
|
|
|
this.uncheckedNodes.push({
|
|
parent: node,
|
|
char: char,
|
|
child: nextNode
|
|
})
|
|
|
|
node = nextNode
|
|
}
|
|
|
|
node.final = true
|
|
this.previousWord = word
|
|
}
|
|
|
|
lunr.TokenSet.Builder.prototype.finish = function () {
|
|
this.minimize(0)
|
|
}
|
|
|
|
lunr.TokenSet.Builder.prototype.minimize = function (downTo) {
|
|
for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {
|
|
var node = this.uncheckedNodes[i],
|
|
childKey = node.child.toString()
|
|
|
|
if (childKey in this.minimizedNodes) {
|
|
node.parent.edges[node.char] = this.minimizedNodes[childKey]
|
|
} else {
|
|
// Cache the key for this node since
|
|
// we know it can't change anymore
|
|
node.child._str = childKey
|
|
|
|
this.minimizedNodes[childKey] = node.child
|
|
}
|
|
|
|
this.uncheckedNodes.pop()
|
|
}
|
|
}
|
|
/*!
|
|
* lunr.Index
|
|
* Copyright (C) 2018 Oliver Nightingale
|
|
*/
|
|
|
|
/**
|
|
* An index contains the built index of all documents and provides a query interface
|
|
* to the index.
|
|
*
|
|
* Usually instances of lunr.Index will not be created using this constructor, instead
|
|
* lunr.Builder should be used to construct new indexes, or lunr.Index.load should be
|
|
* used to load previously built and serialized indexes.
|
|
*
|
|
* @constructor
|
|
* @param {Object} attrs - The attributes of the built search index.
|
|
* @param {Object} attrs.invertedIndex - An index of term/field to document reference.
|
|
* @param {Object<string, lunr.Vector>} attrs.documentVectors - Document vectors keyed by document reference.
|
|
* @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.
|
|
* @param {string[]} attrs.fields - The names of indexed document fields.
|
|
* @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.
|
|
*/
|
|
lunr.Index = function (attrs) {
|
|
this.invertedIndex = attrs.invertedIndex
|
|
this.fieldVectors = attrs.fieldVectors
|
|
this.tokenSet = attrs.tokenSet
|
|
this.fields = attrs.fields
|
|
this.pipeline = attrs.pipeline
|
|
}
|
|
|
|
/**
|
|
* A result contains details of a document matching a search query.
|
|
* @typedef {Object} lunr.Index~Result
|
|
* @property {string} ref - The reference of the document this result represents.
|
|
* @property {number} score - A number between 0 and 1 representing how similar this document is to the query.
|
|
* @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.
|
|
*/
|
|
|
|
/**
|
|
* Although lunr provides the ability to create queries using lunr.Query, it also provides a simple
|
|
* query language which itself is parsed into an instance of lunr.Query.
|
|
*
|
|
* For programmatically building queries it is advised to directly use lunr.Query, the query language
|
|
* is best used for human entered text rather than program generated text.
|
|
*
|
|
* At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported
|
|
* and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'
|
|
* or 'world', though those that contain both will rank higher in the results.
|
|
*
|
|
* Wildcards can be included in terms to match one or more unspecified characters, these wildcards can
|
|
* be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding
|
|
* wildcards will increase the number of documents that will be found but can also have a negative
|
|
* impact on query performance, especially with wildcards at the beginning of a term.
|
|
*
|
|
* Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term
|
|
* hello in the title field will match this query. Using a field not present in the index will lead
|
|
* to an error being thrown.
|
|
*
|
|
* Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term
|
|
* boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported
|
|
* to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.
|
|
* Avoid large values for edit distance to improve query performance.
|
|
*
|
|
* To escape special characters the backslash character '\' can be used, this allows searches to include
|
|
* characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead
|
|
* of attempting to apply a boost of 2 to the search term "foo".
|
|
*
|
|
* @typedef {string} lunr.Index~QueryString
|
|
* @example <caption>Simple single term query</caption>
|
|
* hello
|
|
* @example <caption>Multiple term query</caption>
|
|
* hello world
|
|
* @example <caption>term scoped to a field</caption>
|
|
* title:hello
|
|
* @example <caption>term with a boost of 10</caption>
|
|
* hello^10
|
|
* @example <caption>term with an edit distance of 2</caption>
|
|
* hello~2
|
|
*/
|
|
|
|
/**
|
|
* Performs a search against the index using lunr query syntax.
|
|
*
|
|
* Results will be returned sorted by their score, the most relevant results
|
|
* will be returned first.
|
|
*
|
|
* For more programmatic querying use lunr.Index#query.
|
|
*
|
|
* @param {lunr.Index~QueryString} queryString - A string containing a lunr query.
|
|
* @throws {lunr.QueryParseError} If the passed query string cannot be parsed.
|
|
* @returns {lunr.Index~Result[]}
|
|
*/
|
|
lunr.Index.prototype.search = function (queryString) {
|
|
return this.query(function (query) {
|
|
var parser = new lunr.QueryParser(queryString, query)
|
|
parser.parse()
|
|
})
|
|
}
|
|
|
|
/**
|
|
* A query builder callback provides a query object to be used to express
|
|
* the query to perform on the index.
|
|
*
|
|
* @callback lunr.Index~queryBuilder
|
|
* @param {lunr.Query} query - The query object to build up.
|
|
* @this lunr.Query
|
|
*/
|
|
|
|
/**
|
|
* Performs a query against the index using the yielded lunr.Query object.
|
|
*
|
|
* If performing programmatic queries against the index, this method is preferred
|
|
* over lunr.Index#search so as to avoid the additional query parsing overhead.
|
|
*
|
|
* A query object is yielded to the supplied function which should be used to
|
|
* express the query to be run against the index.
|
|
*
|
|
* Note that although this function takes a callback parameter it is _not_ an
|
|
* asynchronous operation, the callback is just yielded a query object to be
|
|
* customized.
|
|
*
|
|
* @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.
|
|
* @returns {lunr.Index~Result[]}
|
|
*/
|
|
lunr.Index.prototype.query = function (fn) {
|
|
// for each query clause
|
|
// * process terms
|
|
// * expand terms from token set
|
|
// * find matching documents and metadata
|
|
// * get document vectors
|
|
// * score documents
|
|
|
|
var query = new lunr.Query(this.fields),
|
|
matchingFields = Object.create(null),
|
|
queryVectors = Object.create(null),
|
|
termFieldCache = Object.create(null)
|
|
|
|
fn.call(query, query)
|
|
|
|
for (var i = 0; i < query.clauses.length; i++) {
|
|
/*
|
|
* Unless the pipeline has been disabled for this term, which is
|
|
* the case for terms with wildcards, we need to pass the clause
|
|
* term through the search pipeline. A pipeline returns an array
|
|
* of processed terms. Pipeline functions may expand the passed
|
|
* term, which means we may end up performing multiple index lookups
|
|
* for a single query term.
|
|
*/
|
|
var clause = query.clauses[i],
|
|
terms = null
|
|
|
|
if (clause.usePipeline) {
|
|
terms = this.pipeline.runString(clause.term)
|
|
} else {
|
|
terms = [clause.term]
|
|
}
|
|
|
|
for (var m = 0; m < terms.length; m++) {
|
|
var term = terms[m]
|
|
|
|
/*
|
|
* Each term returned from the pipeline needs to use the same query
|
|
* clause object, e.g. the same boost and or edit distance. The
|
|
* simplest way to do this is to re-use the clause object but mutate
|
|
* its term property.
|
|
*/
|
|
clause.term = term
|
|
|
|
/*
|
|
* From the term in the clause we create a token set which will then
|
|
* be used to intersect the indexes token set to get a list of terms
|
|
* to lookup in the inverted index
|
|
*/
|
|
var termTokenSet = lunr.TokenSet.fromClause(clause),
|
|
expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()
|
|
|
|
for (var j = 0; j < expandedTerms.length; j++) {
|
|
/*
|
|
* For each term get the posting and termIndex, this is required for
|
|
* building the query vector.
|
|
*/
|
|
var expandedTerm = expandedTerms[j],
|
|
posting = this.invertedIndex[expandedTerm],
|
|
termIndex = posting._index
|
|
|
|
for (var k = 0; k < clause.fields.length; k++) {
|
|
/*
|
|
* For each field that this query term is scoped by (by default
|
|
* all fields are in scope) we need to get all the document refs
|
|
* that have this term in that field.
|
|
*
|
|
* The posting is the entry in the invertedIndex for the matching
|
|
* term from above.
|
|
*/
|
|
var field = clause.fields[k],
|
|
fieldPosting = posting[field],
|
|
matchingDocumentRefs = Object.keys(fieldPosting),
|
|
termField = expandedTerm + "/" + field
|
|
|
|
/*
|
|
* To support field level boosts a query vector is created per
|
|
* field. This vector is populated using the termIndex found for
|
|
* the term and a unit value with the appropriate boost applied.
|
|
*
|
|
* If the query vector for this field does not exist yet it needs
|
|
* to be created.
|
|
*/
|
|
if (queryVectors[field] === undefined) {
|
|
queryVectors[field] = new lunr.Vector
|
|
}
|
|
|
|
/*
|
|
* Using upsert because there could already be an entry in the vector
|
|
* for the term we are working with. In that case we just add the scores
|
|
* together.
|
|
*/
|
|
queryVectors[field].upsert(termIndex, 1 * clause.boost, function (a, b) { return a + b })
|
|
|
|
/**
|
|
* If we've already seen this term, field combo then we've already collected
|
|
* the matching documents and metadata, no need to go through all that again
|
|
*/
|
|
if (termFieldCache[termField]) {
|
|
continue
|
|
}
|
|
|
|
for (var l = 0; l < matchingDocumentRefs.length; l++) {
|
|
/*
|
|
* All metadata for this term/field/document triple
|
|
* are then extracted and collected into an instance
|
|
* of lunr.MatchData ready to be returned in the query
|
|
* results
|
|
*/
|
|
var matchingDocumentRef = matchingDocumentRefs[l],
|
|
matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),
|
|
metadata = fieldPosting[matchingDocumentRef],
|
|
fieldMatch
|
|
|
|
if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {
|
|
matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)
|
|
} else {
|
|
fieldMatch.add(expandedTerm, field, metadata)
|
|
}
|
|
|
|
}
|
|
|
|
termFieldCache[termField] = true
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
var matchingFieldRefs = Object.keys(matchingFields),
|
|
results = [],
|
|
matches = Object.create(null)
|
|
|
|
for (var i = 0; i < matchingFieldRefs.length; i++) {
|
|
/*
|
|
* Currently we have document fields that match the query, but we
|
|
* need to return documents. The matchData and scores are combined
|
|
* from multiple fields belonging to the same document.
|
|
*
|
|
* Scores are calculated by field, using the query vectors created
|
|
* above, and combined into a final document score using addition.
|
|
*/
|
|
var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),
|
|
docRef = fieldRef.docRef,
|
|
fieldVector = this.fieldVectors[fieldRef],
|
|
score = queryVectors[fieldRef.fieldName].similarity(fieldVector),
|
|
docMatch
|
|
|
|
if ((docMatch = matches[docRef]) !== undefined) {
|
|
docMatch.score += score
|
|
docMatch.matchData.combine(matchingFields[fieldRef])
|
|
} else {
|
|
var match = {
|
|
ref: docRef,
|
|
score: score,
|
|
matchData: matchingFields[fieldRef]
|
|
}
|
|
matches[docRef] = match
|
|
results.push(match)
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Sort the results objects by score, highest first.
|
|
*/
|
|
return results.sort(function (a, b) {
|
|
return b.score - a.score
|
|
})
|
|
}
|
|
|
|
/**
|
|
* Prepares the index for JSON serialization.
|
|
*
|
|
* The schema for this JSON blob will be described in a
|
|
* separate JSON schema file.
|
|
*
|
|
* @returns {Object}
|
|
*/
|
|
lunr.Index.prototype.toJSON = function () {
|
|
var invertedIndex = Object.keys(this.invertedIndex)
|
|
.sort()
|
|
.map(function (term) {
|
|
return [term, this.invertedIndex[term]]
|
|
}, this)
|
|
|
|
var fieldVectors = Object.keys(this.fieldVectors)
|
|
.map(function (ref) {
|
|
return [ref, this.fieldVectors[ref].toJSON()]
|
|
}, this)
|
|
|
|
return {
|
|
version: lunr.version,
|
|
fields: this.fields,
|
|
fieldVectors: fieldVectors,
|
|
invertedIndex: invertedIndex,
|
|
pipeline: this.pipeline.toJSON()
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Loads a previously serialized lunr.Index
|
|
*
|
|
* @param {Object} serializedIndex - A previously serialized lunr.Index
|
|
* @returns {lunr.Index}
|
|
*/
|
|
lunr.Index.load = function (serializedIndex) {
|
|
var attrs = {},
|
|
fieldVectors = {},
|
|
serializedVectors = serializedIndex.fieldVectors,
|
|
invertedIndex = {},
|
|
serializedInvertedIndex = serializedIndex.invertedIndex,
|
|
tokenSetBuilder = new lunr.TokenSet.Builder,
|
|
pipeline = lunr.Pipeline.load(serializedIndex.pipeline)
|
|
|
|
if (serializedIndex.version != lunr.version) {
|
|
lunr.utils.warn("Version mismatch when loading serialised index. Current version of lunr '" + lunr.version + "' does not match serialized index '" + serializedIndex.version + "'")
|
|
}
|
|
|
|
for (var i = 0; i < serializedVectors.length; i++) {
|
|
var tuple = serializedVectors[i],
|
|
ref = tuple[0],
|
|
elements = tuple[1]
|
|
|
|
fieldVectors[ref] = new lunr.Vector(elements)
|
|
}
|
|
|
|
for (var i = 0; i < serializedInvertedIndex.length; i++) {
|
|
var tuple = serializedInvertedIndex[i],
|
|
term = tuple[0],
|
|
posting = tuple[1]
|
|
|
|
tokenSetBuilder.insert(term)
|
|
invertedIndex[term] = posting
|
|
}
|
|
|
|
tokenSetBuilder.finish()
|
|
|
|
attrs.fields = serializedIndex.fields
|
|
|
|
attrs.fieldVectors = fieldVectors
|
|
attrs.invertedIndex = invertedIndex
|
|
attrs.tokenSet = tokenSetBuilder.root
|
|
attrs.pipeline = pipeline
|
|
|
|
return new lunr.Index(attrs)
|
|
}
|
|
/*!
|
|
* lunr.Builder
|
|
* Copyright (C) 2018 Oliver Nightingale
|
|
*/
|
|
|
|
/**
|
|
* lunr.Builder performs indexing on a set of documents and
|
|
* returns instances of lunr.Index ready for querying.
|
|
*
|
|
* All configuration of the index is done via the builder, the
|
|
* fields to index, the document reference, the text processing
|
|
* pipeline and document scoring parameters are all set on the
|
|
* builder before indexing.
|
|
*
|
|
* @constructor
|
|
* @property {string} _ref - Internal reference to the document reference field.
|
|
* @property {string[]} _fields - Internal reference to the document fields to index.
|
|
* @property {object} invertedIndex - The inverted index maps terms to document fields.
|
|
* @property {object} documentTermFrequencies - Keeps track of document term frequencies.
|
|
* @property {object} documentLengths - Keeps track of the length of documents added to the index.
|
|
* @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.
|
|
* @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.
|
|
* @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.
|
|
* @property {number} documentCount - Keeps track of the total number of documents indexed.
|
|
* @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.
|
|
* @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.
|
|
* @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.
|
|
* @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.
|
|
*/
|
|
lunr.Builder = function () {
|
|
this._ref = "id"
|
|
this._fields = []
|
|
this.invertedIndex = Object.create(null)
|
|
this.fieldTermFrequencies = {}
|
|
this.fieldLengths = {}
|
|
this.tokenizer = lunr.tokenizer
|
|
this.pipeline = new lunr.Pipeline
|
|
this.searchPipeline = new lunr.Pipeline
|
|
this.documentCount = 0
|
|
this._b = 0.75
|
|
this._k1 = 1.2
|
|
this.termIndex = 0
|
|
this.metadataWhitelist = []
|
|
}
|
|
|
|
/**
|
|
* Sets the document field used as the document reference. Every document must have this field.
|
|
* The type of this field in the document should be a string, if it is not a string it will be
|
|
* coerced into a string by calling toString.
|
|
*
|
|
* The default ref is 'id'.
|
|
*
|
|
* The ref should _not_ be changed during indexing, it should be set before any documents are
|
|
* added to the index. Changing it during indexing can lead to inconsistent results.
|
|
*
|
|
* @param {string} ref - The name of the reference field in the document.
|
|
*/
|
|
lunr.Builder.prototype.ref = function (ref) {
|
|
this._ref = ref
|
|
}
|
|
|
|
/**
|
|
* Adds a field to the list of document fields that will be indexed. Every document being
|
|
* indexed should have this field. Null values for this field in indexed documents will
|
|
* not cause errors but will limit the chance of that document being retrieved by searches.
|
|
*
|
|
* All fields should be added before adding documents to the index. Adding fields after
|
|
* a document has been indexed will have no effect on already indexed documents.
|
|
*
|
|
* @param {string} field - The name of a field to index in all documents.
|
|
*/
|
|
lunr.Builder.prototype.field = function (field) {
|
|
this._fields.push(field)
|
|
}
|
|
|
|
/**
|
|
* A parameter to tune the amount of field length normalisation that is applied when
|
|
* calculating relevance scores. A value of 0 will completely disable any normalisation
|
|
* and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b
|
|
* will be clamped to the range 0 - 1.
|
|
*
|
|
* @param {number} number - The value to set for this tuning parameter.
|
|
*/
|
|
lunr.Builder.prototype.b = function (number) {
|
|
if (number < 0) {
|
|
this._b = 0
|
|
} else if (number > 1) {
|
|
this._b = 1
|
|
} else {
|
|
this._b = number
|
|
}
|
|
}
|
|
|
|
/**
|
|
* A parameter that controls the speed at which a rise in term frequency results in term
|
|
* frequency saturation. The default value is 1.2. Setting this to a higher value will give
|
|
* slower saturation levels, a lower value will result in quicker saturation.
|
|
*
|
|
* @param {number} number - The value to set for this tuning parameter.
|
|
*/
|
|
lunr.Builder.prototype.k1 = function (number) {
|
|
this._k1 = number
|
|
}
|
|
|
|
/**
|
|
* Adds a document to the index.
|
|
*
|
|
* Before adding fields to the index the index should have been fully setup, with the document
|
|
* ref and all fields to index already having been specified.
|
|
*
|
|
* The document must have a field name as specified by the ref (by default this is 'id') and
|
|
* it should have all fields defined for indexing, though null or undefined values will not
|
|
* cause errors.
|
|
*
|
|
* @param {object} doc - The document to add to the index.
|
|
*/
|
|
lunr.Builder.prototype.add = function (doc) {
|
|
var docRef = doc[this._ref]
|
|
|
|
this.documentCount += 1
|
|
|
|
for (var i = 0; i < this._fields.length; i++) {
|
|
var fieldName = this._fields[i],
|
|
field = doc[fieldName],
|
|
tokens = this.tokenizer(field),
|
|
terms = this.pipeline.run(tokens),
|
|
fieldRef = new lunr.FieldRef (docRef, fieldName),
|
|
fieldTerms = Object.create(null)
|
|
|
|
this.fieldTermFrequencies[fieldRef] = fieldTerms
|
|
this.fieldLengths[fieldRef] = 0
|
|
|
|
// store the length of this field for this document
|
|
this.fieldLengths[fieldRef] += terms.length
|
|
|
|
// calculate term frequencies for this field
|
|
for (var j = 0; j < terms.length; j++) {
|
|
var term = terms[j]
|
|
|
|
if (fieldTerms[term] == undefined) {
|
|
fieldTerms[term] = 0
|
|
}
|
|
|
|
fieldTerms[term] += 1
|
|
|
|
// add to inverted index
|
|
// create an initial posting if one doesn't exist
|
|
if (this.invertedIndex[term] == undefined) {
|
|
var posting = Object.create(null)
|
|
posting["_index"] = this.termIndex
|
|
this.termIndex += 1
|
|
|
|
for (var k = 0; k < this._fields.length; k++) {
|
|
posting[this._fields[k]] = Object.create(null)
|
|
}
|
|
|
|
this.invertedIndex[term] = posting
|
|
}
|
|
|
|
// add an entry for this term/fieldName/docRef to the invertedIndex
|
|
if (this.invertedIndex[term][fieldName][docRef] == undefined) {
|
|
this.invertedIndex[term][fieldName][docRef] = Object.create(null)
|
|
}
|
|
|
|
// store all whitelisted metadata about this token in the
|
|
// inverted index
|
|
for (var l = 0; l < this.metadataWhitelist.length; l++) {
|
|
var metadataKey = this.metadataWhitelist[l],
|
|
metadata = term.metadata[metadataKey]
|
|
|
|
if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {
|
|
this.invertedIndex[term][fieldName][docRef][metadataKey] = []
|
|
}
|
|
|
|
this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)
|
|
}
|
|
}
|
|
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Calculates the average document length for this index
|
|
*
|
|
* @private
|
|
*/
|
|
lunr.Builder.prototype.calculateAverageFieldLengths = function () {
|
|
|
|
var fieldRefs = Object.keys(this.fieldLengths),
|
|
numberOfFields = fieldRefs.length,
|
|
accumulator = {},
|
|
documentsWithField = {}
|
|
|
|
for (var i = 0; i < numberOfFields; i++) {
|
|
var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),
|
|
field = fieldRef.fieldName
|
|
|
|
documentsWithField[field] || (documentsWithField[field] = 0)
|
|
documentsWithField[field] += 1
|
|
|
|
accumulator[field] || (accumulator[field] = 0)
|
|
accumulator[field] += this.fieldLengths[fieldRef]
|
|
}
|
|
|
|
for (var i = 0; i < this._fields.length; i++) {
|
|
var field = this._fields[i]
|
|
accumulator[field] = accumulator[field] / documentsWithField[field]
|
|
}
|
|
|
|
this.averageFieldLength = accumulator
|
|
}
|
|
|
|
/**
|
|
* Builds a vector space model of every document using lunr.Vector
|
|
*
|
|
* @private
|
|
*/
|
|
lunr.Builder.prototype.createFieldVectors = function () {
|
|
var fieldVectors = {},
|
|
fieldRefs = Object.keys(this.fieldTermFrequencies),
|
|
fieldRefsLength = fieldRefs.length,
|
|
termIdfCache = Object.create(null)
|
|
|
|
for (var i = 0; i < fieldRefsLength; i++) {
|
|
var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),
|
|
field = fieldRef.fieldName,
|
|
fieldLength = this.fieldLengths[fieldRef],
|
|
fieldVector = new lunr.Vector,
|
|
termFrequencies = this.fieldTermFrequencies[fieldRef],
|
|
terms = Object.keys(termFrequencies),
|
|
termsLength = terms.length
|
|
|
|
for (var j = 0; j < termsLength; j++) {
|
|
var term = terms[j],
|
|
tf = termFrequencies[term],
|
|
termIndex = this.invertedIndex[term]._index,
|
|
idf, score, scoreWithPrecision
|
|
|
|
if (termIdfCache[term] === undefined) {
|
|
idf = lunr.idf(this.invertedIndex[term], this.documentCount)
|
|
termIdfCache[term] = idf
|
|
} else {
|
|
idf = termIdfCache[term]
|
|
}
|
|
|
|
score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[field])) + tf)
|
|
scoreWithPrecision = Math.round(score * 1000) / 1000
|
|
// Converts 1.23456789 to 1.234.
|
|
// Reducing the precision so that the vectors take up less
|
|
// space when serialised. Doing it now so that they behave
|
|
// the same before and after serialisation. Also, this is
|
|
// the fastest approach to reducing a number's precision in
|
|
// JavaScript.
|
|
|
|
fieldVector.insert(termIndex, scoreWithPrecision)
|
|
}
|
|
|
|
fieldVectors[fieldRef] = fieldVector
|
|
}
|
|
|
|
this.fieldVectors = fieldVectors
|
|
}
|
|
|
|
/**
|
|
* Creates a token set of all tokens in the index using lunr.TokenSet
|
|
*
|
|
* @private
|
|
*/
|
|
lunr.Builder.prototype.createTokenSet = function () {
|
|
this.tokenSet = lunr.TokenSet.fromArray(
|
|
Object.keys(this.invertedIndex).sort()
|
|
)
|
|
}
|
|
|
|
/**
|
|
* Builds the index, creating an instance of lunr.Index.
|
|
*
|
|
* This completes the indexing process and should only be called
|
|
* once all documents have been added to the index.
|
|
*
|
|
* @returns {lunr.Index}
|
|
*/
|
|
lunr.Builder.prototype.build = function () {
|
|
this.calculateAverageFieldLengths()
|
|
this.createFieldVectors()
|
|
this.createTokenSet()
|
|
|
|
return new lunr.Index({
|
|
invertedIndex: this.invertedIndex,
|
|
fieldVectors: this.fieldVectors,
|
|
tokenSet: this.tokenSet,
|
|
fields: this._fields,
|
|
pipeline: this.searchPipeline
|
|
})
|
|
}
|
|
|
|
/**
|
|
* Applies a plugin to the index builder.
|
|
*
|
|
* A plugin is a function that is called with the index builder as its context.
|
|
* Plugins can be used to customise or extend the behaviour of the index
|
|
* in some way. A plugin is just a function, that encapsulated the custom
|
|
* behaviour that should be applied when building the index.
|
|
*
|
|
* The plugin function will be called with the index builder as its argument, additional
|
|
* arguments can also be passed when calling use. The function will be called
|
|
* with the index builder as its context.
|
|
*
|
|
* @param {Function} plugin The plugin to apply.
|
|
*/
|
|
lunr.Builder.prototype.use = function (fn) {
|
|
var args = Array.prototype.slice.call(arguments, 1)
|
|
args.unshift(this)
|
|
fn.apply(this, args)
|
|
}
|
|
/**
|
|
* Contains and collects metadata about a matching document.
|
|
* A single instance of lunr.MatchData is returned as part of every
|
|
* lunr.Index~Result.
|
|
*
|
|
* @constructor
|
|
* @param {string} term - The term this match data is associated with
|
|
* @param {string} field - The field in which the term was found
|
|
* @param {object} metadata - The metadata recorded about this term in this field
|
|
* @property {object} metadata - A cloned collection of metadata associated with this document.
|
|
* @see {@link lunr.Index~Result}
|
|
*/
|
|
lunr.MatchData = function (term, field, metadata) {
|
|
var clonedMetadata = Object.create(null),
|
|
metadataKeys = Object.keys(metadata)
|
|
|
|
// Cloning the metadata to prevent the original
|
|
// being mutated during match data combination.
|
|
// Metadata is kept in an array within the inverted
|
|
// index so cloning the data can be done with
|
|
// Array#slice
|
|
for (var i = 0; i < metadataKeys.length; i++) {
|
|
var key = metadataKeys[i]
|
|
clonedMetadata[key] = metadata[key].slice()
|
|
}
|
|
|
|
this.metadata = Object.create(null)
|
|
this.metadata[term] = Object.create(null)
|
|
this.metadata[term][field] = clonedMetadata
|
|
}
|
|
|
|
/**
|
|
* An instance of lunr.MatchData will be created for every term that matches a
|
|
* document. However only one instance is required in a lunr.Index~Result. This
|
|
* method combines metadata from another instance of lunr.MatchData with this
|
|
* objects metadata.
|
|
*
|
|
* @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.
|
|
* @see {@link lunr.Index~Result}
|
|
*/
|
|
lunr.MatchData.prototype.combine = function (otherMatchData) {
|
|
var terms = Object.keys(otherMatchData.metadata)
|
|
|
|
for (var i = 0; i < terms.length; i++) {
|
|
var term = terms[i],
|
|
fields = Object.keys(otherMatchData.metadata[term])
|
|
|
|
if (this.metadata[term] == undefined) {
|
|
this.metadata[term] = Object.create(null)
|
|
}
|
|
|
|
for (var j = 0; j < fields.length; j++) {
|
|
var field = fields[j],
|
|
keys = Object.keys(otherMatchData.metadata[term][field])
|
|
|
|
if (this.metadata[term][field] == undefined) {
|
|
this.metadata[term][field] = Object.create(null)
|
|
}
|
|
|
|
for (var k = 0; k < keys.length; k++) {
|
|
var key = keys[k]
|
|
|
|
if (this.metadata[term][field][key] == undefined) {
|
|
this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]
|
|
} else {
|
|
this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])
|
|
}
|
|
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Add metadata for a term/field pair to this instance of match data.
|
|
*
|
|
* @param {string} term - The term this match data is associated with
|
|
* @param {string} field - The field in which the term was found
|
|
* @param {object} metadata - The metadata recorded about this term in this field
|
|
*/
|
|
lunr.MatchData.prototype.add = function (term, field, metadata) {
|
|
if (!(term in this.metadata)) {
|
|
this.metadata[term] = Object.create(null)
|
|
this.metadata[term][field] = metadata
|
|
return
|
|
}
|
|
|
|
if (!(field in this.metadata[term])) {
|
|
this.metadata[term][field] = metadata
|
|
return
|
|
}
|
|
|
|
var metadataKeys = Object.keys(metadata)
|
|
|
|
for (var i = 0; i < metadataKeys.length; i++) {
|
|
var key = metadataKeys[i]
|
|
|
|
if (key in this.metadata[term][field]) {
|
|
this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])
|
|
} else {
|
|
this.metadata[term][field][key] = metadata[key]
|
|
}
|
|
}
|
|
}
|
|
/**
|
|
* A lunr.Query provides a programmatic way of defining queries to be performed
|
|
* against a {@link lunr.Index}.
|
|
*
|
|
* Prefer constructing a lunr.Query using the {@link lunr.Index#query} method
|
|
* so the query object is pre-initialized with the right index fields.
|
|
*
|
|
* @constructor
|
|
* @property {lunr.Query~Clause[]} clauses - An array of query clauses.
|
|
* @property {string[]} allFields - An array of all available fields in a lunr.Index.
|
|
*/
|
|
lunr.Query = function (allFields) {
|
|
this.clauses = []
|
|
this.allFields = allFields
|
|
}
|
|
|
|
/**
|
|
* Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.
|
|
*
|
|
* This allows wildcards to be added to the beginning and end of a term without having to manually do any string
|
|
* concatenation.
|
|
*
|
|
* The wildcard constants can be bitwise combined to select both leading and trailing wildcards.
|
|
*
|
|
* @constant
|
|
* @default
|
|
* @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour
|
|
* @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists
|
|
* @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists
|
|
* @see lunr.Query~Clause
|
|
* @see lunr.Query#clause
|
|
* @see lunr.Query#term
|
|
* @example <caption>query term with trailing wildcard</caption>
|
|
* query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })
|
|
* @example <caption>query term with leading and trailing wildcard</caption>
|
|
* query.term('foo', {
|
|
* wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING
|
|
* })
|
|
*/
|
|
lunr.Query.wildcard = new String ("*")
|
|
lunr.Query.wildcard.NONE = 0
|
|
lunr.Query.wildcard.LEADING = 1
|
|
lunr.Query.wildcard.TRAILING = 2
|
|
|
|
/**
|
|
* A single clause in a {@link lunr.Query} contains a term and details on how to
|
|
* match that term against a {@link lunr.Index}.
|
|
*
|
|
* @typedef {Object} lunr.Query~Clause
|
|
* @property {string[]} fields - The fields in an index this clause should be matched against.
|
|
* @property {number} [boost=1] - Any boost that should be applied when matching this clause.
|
|
* @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.
|
|
* @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.
|
|
* @property {number} [wildcard=0] - Whether the term should have wildcards appended or prepended.
|
|
*/
|
|
|
|
/**
|
|
* Adds a {@link lunr.Query~Clause} to this query.
|
|
*
|
|
* Unless the clause contains the fields to be matched all fields will be matched. In addition
|
|
* a default boost of 1 is applied to the clause.
|
|
*
|
|
* @param {lunr.Query~Clause} clause - The clause to add to this query.
|
|
* @see lunr.Query~Clause
|
|
* @returns {lunr.Query}
|
|
*/
|
|
lunr.Query.prototype.clause = function (clause) {
|
|
if (!('fields' in clause)) {
|
|
clause.fields = this.allFields
|
|
}
|
|
|
|
if (!('boost' in clause)) {
|
|
clause.boost = 1
|
|
}
|
|
|
|
if (!('usePipeline' in clause)) {
|
|
clause.usePipeline = true
|
|
}
|
|
|
|
if (!('wildcard' in clause)) {
|
|
clause.wildcard = lunr.Query.wildcard.NONE
|
|
}
|
|
|
|
if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {
|
|
clause.term = "*" + clause.term
|
|
}
|
|
|
|
if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {
|
|
clause.term = "" + clause.term + "*"
|
|
}
|
|
|
|
this.clauses.push(clause)
|
|
|
|
return this
|
|
}
|
|
|
|
/**
|
|
* Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}
|
|
* to the list of clauses that make up this query.
|
|
*
|
|
* @param {string} term - The term to add to the query.
|
|
* @param {Object} [options] - Any additional properties to add to the query clause.
|
|
* @returns {lunr.Query}
|
|
* @see lunr.Query#clause
|
|
* @see lunr.Query~Clause
|
|
* @example <caption>adding a single term to a query</caption>
|
|
* query.term("foo")
|
|
* @example <caption>adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard</caption>
|
|
* query.term("foo", {
|
|
* fields: ["title"],
|
|
* boost: 10,
|
|
* wildcard: lunr.Query.wildcard.TRAILING
|
|
* })
|
|
*/
|
|
lunr.Query.prototype.term = function (term, options) {
|
|
var clause = options || {}
|
|
clause.term = term
|
|
|
|
this.clause(clause)
|
|
|
|
return this
|
|
}
|
|
lunr.QueryParseError = function (message, start, end) {
|
|
this.name = "QueryParseError"
|
|
this.message = message
|
|
this.start = start
|
|
this.end = end
|
|
}
|
|
|
|
lunr.QueryParseError.prototype = new Error
|
|
lunr.QueryLexer = function (str) {
|
|
this.lexemes = []
|
|
this.str = str
|
|
this.length = str.length
|
|
this.pos = 0
|
|
this.start = 0
|
|
this.escapeCharPositions = []
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.run = function () {
|
|
var state = lunr.QueryLexer.lexText
|
|
|
|
while (state) {
|
|
state = state(this)
|
|
}
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.sliceString = function () {
|
|
var subSlices = [],
|
|
sliceStart = this.start,
|
|
sliceEnd = this.pos
|
|
|
|
for (var i = 0; i < this.escapeCharPositions.length; i++) {
|
|
sliceEnd = this.escapeCharPositions[i]
|
|
subSlices.push(this.str.slice(sliceStart, sliceEnd))
|
|
sliceStart = sliceEnd + 1
|
|
}
|
|
|
|
subSlices.push(this.str.slice(sliceStart, this.pos))
|
|
this.escapeCharPositions.length = 0
|
|
|
|
return subSlices.join('')
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.emit = function (type) {
|
|
this.lexemes.push({
|
|
type: type,
|
|
str: this.sliceString(),
|
|
start: this.start,
|
|
end: this.pos
|
|
})
|
|
|
|
this.start = this.pos
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.escapeCharacter = function () {
|
|
this.escapeCharPositions.push(this.pos - 1)
|
|
this.pos += 1
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.next = function () {
|
|
if (this.pos >= this.length) {
|
|
return lunr.QueryLexer.EOS
|
|
}
|
|
|
|
var char = this.str.charAt(this.pos)
|
|
this.pos += 1
|
|
return char
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.width = function () {
|
|
return this.pos - this.start
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.ignore = function () {
|
|
if (this.start == this.pos) {
|
|
this.pos += 1
|
|
}
|
|
|
|
this.start = this.pos
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.backup = function () {
|
|
this.pos -= 1
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.acceptDigitRun = function () {
|
|
var char, charCode
|
|
|
|
do {
|
|
char = this.next()
|
|
charCode = char.charCodeAt(0)
|
|
} while (charCode > 47 && charCode < 58)
|
|
|
|
if (char != lunr.QueryLexer.EOS) {
|
|
this.backup()
|
|
}
|
|
}
|
|
|
|
lunr.QueryLexer.prototype.more = function () {
|
|
return this.pos < this.length
|
|
}
|
|
|
|
lunr.QueryLexer.EOS = 'EOS'
|
|
lunr.QueryLexer.FIELD = 'FIELD'
|
|
lunr.QueryLexer.TERM = 'TERM'
|
|
lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'
|
|
lunr.QueryLexer.BOOST = 'BOOST'
|
|
|
|
lunr.QueryLexer.lexField = function (lexer) {
|
|
lexer.backup()
|
|
lexer.emit(lunr.QueryLexer.FIELD)
|
|
lexer.ignore()
|
|
return lunr.QueryLexer.lexText
|
|
}
|
|
|
|
lunr.QueryLexer.lexTerm = function (lexer) {
|
|
if (lexer.width() > 1) {
|
|
lexer.backup()
|
|
lexer.emit(lunr.QueryLexer.TERM)
|
|
}
|
|
|
|
lexer.ignore()
|
|
|
|
if (lexer.more()) {
|
|
return lunr.QueryLexer.lexText
|
|
}
|
|
}
|
|
|
|
lunr.QueryLexer.lexEditDistance = function (lexer) {
|
|
lexer.ignore()
|
|
lexer.acceptDigitRun()
|
|
lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)
|
|
return lunr.QueryLexer.lexText
|
|
}
|
|
|
|
lunr.QueryLexer.lexBoost = function (lexer) {
|
|
lexer.ignore()
|
|
lexer.acceptDigitRun()
|
|
lexer.emit(lunr.QueryLexer.BOOST)
|
|
return lunr.QueryLexer.lexText
|
|
}
|
|
|
|
lunr.QueryLexer.lexEOS = function (lexer) {
|
|
if (lexer.width() > 0) {
|
|
lexer.emit(lunr.QueryLexer.TERM)
|
|
}
|
|
}
|
|
|
|
// This matches the separator used when tokenising fields
|
|
// within a document. These should match otherwise it is
|
|
// not possible to search for some tokens within a document.
|
|
//
|
|
// It is possible for the user to change the separator on the
|
|
// tokenizer so it _might_ clash with any other of the special
|
|
// characters already used within the search string, e.g. :.
|
|
//
|
|
// This means that it is possible to change the separator in
|
|
// such a way that makes some words unsearchable using a search
|
|
// string.
|
|
lunr.QueryLexer.termSeparator = lunr.tokenizer.separator
|
|
|
|
lunr.QueryLexer.lexText = function (lexer) {
|
|
while (true) {
|
|
var char = lexer.next()
|
|
|
|
if (char == lunr.QueryLexer.EOS) {
|
|
return lunr.QueryLexer.lexEOS
|
|
}
|
|
|
|
// Escape character is '\'
|
|
if (char.charCodeAt(0) == 92) {
|
|
lexer.escapeCharacter()
|
|
continue
|
|
}
|
|
|
|
if (char == ":") {
|
|
return lunr.QueryLexer.lexField
|
|
}
|
|
|
|
if (char == "~") {
|
|
lexer.backup()
|
|
if (lexer.width() > 0) {
|
|
lexer.emit(lunr.QueryLexer.TERM)
|
|
}
|
|
return lunr.QueryLexer.lexEditDistance
|
|
}
|
|
|
|
if (char == "^") {
|
|
lexer.backup()
|
|
if (lexer.width() > 0) {
|
|
lexer.emit(lunr.QueryLexer.TERM)
|
|
}
|
|
return lunr.QueryLexer.lexBoost
|
|
}
|
|
|
|
if (char.match(lunr.QueryLexer.termSeparator)) {
|
|
return lunr.QueryLexer.lexTerm
|
|
}
|
|
}
|
|
}
|
|
|
|
lunr.QueryParser = function (str, query) {
|
|
this.lexer = new lunr.QueryLexer (str)
|
|
this.query = query
|
|
this.currentClause = {}
|
|
this.lexemeIdx = 0
|
|
}
|
|
|
|
lunr.QueryParser.prototype.parse = function () {
|
|
this.lexer.run()
|
|
this.lexemes = this.lexer.lexemes
|
|
|
|
var state = lunr.QueryParser.parseFieldOrTerm
|
|
|
|
while (state) {
|
|
state = state(this)
|
|
}
|
|
|
|
return this.query
|
|
}
|
|
|
|
lunr.QueryParser.prototype.peekLexeme = function () {
|
|
return this.lexemes[this.lexemeIdx]
|
|
}
|
|
|
|
lunr.QueryParser.prototype.consumeLexeme = function () {
|
|
var lexeme = this.peekLexeme()
|
|
this.lexemeIdx += 1
|
|
return lexeme
|
|
}
|
|
|
|
lunr.QueryParser.prototype.nextClause = function () {
|
|
var completedClause = this.currentClause
|
|
this.query.clause(completedClause)
|
|
this.currentClause = {}
|
|
}
|
|
|
|
lunr.QueryParser.parseFieldOrTerm = function (parser) {
|
|
var lexeme = parser.peekLexeme()
|
|
|
|
if (lexeme == undefined) {
|
|
return
|
|
}
|
|
|
|
switch (lexeme.type) {
|
|
case lunr.QueryLexer.FIELD:
|
|
return lunr.QueryParser.parseField
|
|
case lunr.QueryLexer.TERM:
|
|
return lunr.QueryParser.parseTerm
|
|
default:
|
|
var errorMessage = "expected either a field or a term, found " + lexeme.type
|
|
|
|
if (lexeme.str.length >= 1) {
|
|
errorMessage += " with value '" + lexeme.str + "'"
|
|
}
|
|
|
|
throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
|
|
}
|
|
}
|
|
|
|
lunr.QueryParser.parseField = function (parser) {
|
|
var lexeme = parser.consumeLexeme()
|
|
|
|
if (lexeme == undefined) {
|
|
return
|
|
}
|
|
|
|
if (parser.query.allFields.indexOf(lexeme.str) == -1) {
|
|
var possibleFields = parser.query.allFields.map(function (f) { return "'" + f + "'" }).join(', '),
|
|
errorMessage = "unrecognised field '" + lexeme.str + "', possible fields: " + possibleFields
|
|
|
|
throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
|
|
}
|
|
|
|
parser.currentClause.fields = [lexeme.str]
|
|
|
|
var nextLexeme = parser.peekLexeme()
|
|
|
|
if (nextLexeme == undefined) {
|
|
var errorMessage = "expecting term, found nothing"
|
|
throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
|
|
}
|
|
|
|
switch (nextLexeme.type) {
|
|
case lunr.QueryLexer.TERM:
|
|
return lunr.QueryParser.parseTerm
|
|
default:
|
|
var errorMessage = "expecting term, found '" + nextLexeme.type + "'"
|
|
throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
|
|
}
|
|
}
|
|
|
|
lunr.QueryParser.parseTerm = function (parser) {
|
|
var lexeme = parser.consumeLexeme()
|
|
|
|
if (lexeme == undefined) {
|
|
return
|
|
}
|
|
|
|
parser.currentClause.term = lexeme.str.toLowerCase()
|
|
|
|
if (lexeme.str.indexOf("*") != -1) {
|
|
parser.currentClause.usePipeline = false
|
|
}
|
|
|
|
var nextLexeme = parser.peekLexeme()
|
|
|
|
if (nextLexeme == undefined) {
|
|
parser.nextClause()
|
|
return
|
|
}
|
|
|
|
switch (nextLexeme.type) {
|
|
case lunr.QueryLexer.TERM:
|
|
parser.nextClause()
|
|
return lunr.QueryParser.parseTerm
|
|
case lunr.QueryLexer.FIELD:
|
|
parser.nextClause()
|
|
return lunr.QueryParser.parseField
|
|
case lunr.QueryLexer.EDIT_DISTANCE:
|
|
return lunr.QueryParser.parseEditDistance
|
|
case lunr.QueryLexer.BOOST:
|
|
return lunr.QueryParser.parseBoost
|
|
default:
|
|
var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
|
|
throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
|
|
}
|
|
}
|
|
|
|
lunr.QueryParser.parseEditDistance = function (parser) {
|
|
var lexeme = parser.consumeLexeme()
|
|
|
|
if (lexeme == undefined) {
|
|
return
|
|
}
|
|
|
|
var editDistance = parseInt(lexeme.str, 10)
|
|
|
|
if (isNaN(editDistance)) {
|
|
var errorMessage = "edit distance must be numeric"
|
|
throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
|
|
}
|
|
|
|
parser.currentClause.editDistance = editDistance
|
|
|
|
var nextLexeme = parser.peekLexeme()
|
|
|
|
if (nextLexeme == undefined) {
|
|
parser.nextClause()
|
|
return
|
|
}
|
|
|
|
switch (nextLexeme.type) {
|
|
case lunr.QueryLexer.TERM:
|
|
parser.nextClause()
|
|
return lunr.QueryParser.parseTerm
|
|
case lunr.QueryLexer.FIELD:
|
|
parser.nextClause()
|
|
return lunr.QueryParser.parseField
|
|
case lunr.QueryLexer.EDIT_DISTANCE:
|
|
return lunr.QueryParser.parseEditDistance
|
|
case lunr.QueryLexer.BOOST:
|
|
return lunr.QueryParser.parseBoost
|
|
default:
|
|
var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
|
|
throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
|
|
}
|
|
}
|
|
|
|
lunr.QueryParser.parseBoost = function (parser) {
|
|
var lexeme = parser.consumeLexeme()
|
|
|
|
if (lexeme == undefined) {
|
|
return
|
|
}
|
|
|
|
var boost = parseInt(lexeme.str, 10)
|
|
|
|
if (isNaN(boost)) {
|
|
var errorMessage = "boost must be numeric"
|
|
throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
|
|
}
|
|
|
|
parser.currentClause.boost = boost
|
|
|
|
var nextLexeme = parser.peekLexeme()
|
|
|
|
if (nextLexeme == undefined) {
|
|
parser.nextClause()
|
|
return
|
|
}
|
|
|
|
switch (nextLexeme.type) {
|
|
case lunr.QueryLexer.TERM:
|
|
parser.nextClause()
|
|
return lunr.QueryParser.parseTerm
|
|
case lunr.QueryLexer.FIELD:
|
|
parser.nextClause()
|
|
return lunr.QueryParser.parseField
|
|
case lunr.QueryLexer.EDIT_DISTANCE:
|
|
return lunr.QueryParser.parseEditDistance
|
|
case lunr.QueryLexer.BOOST:
|
|
return lunr.QueryParser.parseBoost
|
|
default:
|
|
var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
|
|
throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
|
|
}
|
|
}
|
|
|
|
/**
|
|
* export the module via AMD, CommonJS or as a browser global
|
|
* Export code from https://github.com/umdjs/umd/blob/master/returnExports.js
|
|
*/
|
|
;(function (root, factory) {
|
|
if (typeof define === 'function' && define.amd) {
|
|
// AMD. Register as an anonymous module.
|
|
define(factory)
|
|
} else if (typeof exports === 'object') {
|
|
/**
|
|
* Node. Does not work with strict CommonJS, but
|
|
* only CommonJS-like enviroments that support module.exports,
|
|
* like Node.
|
|
*/
|
|
module.exports = factory()
|
|
} else {
|
|
// Browser globals (root is window)
|
|
root.lunr = factory()
|
|
}
|
|
}(this, function () {
|
|
/**
|
|
* Just return a value to define the module export.
|
|
* This example returns an object, but the module
|
|
* can return a function as the exported value.
|
|
*/
|
|
return lunr
|
|
}))
|
|
})();
|