From b293b709cba60ee827697928595e1b65ce96f1e3 Mon Sep 17 00:00:00 2001 From: Adam Carpenter <53hornet@gmail.com> Date: Sun, 28 Apr 2019 16:28:09 -0400 Subject: Added permalink mapping for pages (pretty URLs), cleaned up heads, images. --- public/css/styles.sass | 35 +++++++++++++++++++++++++++++++++++ public/images/favicon.ico | Bin 0 -> 53694 bytes public/images/logo.png | Bin 0 -> 20369 bytes 3 files changed, 35 insertions(+) create mode 100644 public/css/styles.sass create mode 100644 public/images/favicon.ico create mode 100644 public/images/logo.png (limited to 'public') diff --git a/public/css/styles.sass b/public/css/styles.sass new file mode 100644 index 0000000..400ead3 --- /dev/null +++ b/public/css/styles.sass @@ -0,0 +1,35 @@ +@charset "utf-8" +/*! bulma.io v0.7.4 | MIT License | github.com/jgthms/bulma */ + +// primary colors +$balboa: hsl(196, 63%, 27%); + +/* coolors.co/193a44-ffffff-1c5d99-639fab-bbcde5 */ +// $white: hsl(0%, 0%, 100%); +$lapis-lazuli: hsl(209%, 69%, 35%); +$cadet-blue: hsl(190%, 30%, 53%); +$pale-aqua: hsl(214%, 45%, 82%); + +/* coolors.co/193a44-dcedff-94b0da-8f91a2-505a5b */ +//$azurish-white: hsl(211%, 100%, 93%); +//$light-cobalt-blue: hsl(216%, 49%, 72%); +//$gray-blue: hsl(234%, 9%, 60%); +//$feldgrau: hsl(185%, 6%, 34%); + +// derived colors +$primary: $balboa; +$info: $lapis-lazuli; +$link: $lapis-lazuli; +$success: $cadet-blue; +//$warning: +//$danger: +$light: $pale-aqua; +//$dark: + +@import "_sass/utilities/_all"; +@import "_sass/base/_all"; +@import "_sass/elements/_all"; +@import "_sass/components/_all"; +@import "_sass/grid/_all"; +@import "_sass/layout/_all"; +//@import "animate.css"; diff --git a/public/images/favicon.ico b/public/images/favicon.ico new file mode 100644 index 0000000..62c2f88 Binary files /dev/null and b/public/images/favicon.ico differ diff --git a/public/images/logo.png b/public/images/logo.png new file mode 100644 index 0000000..549bd0e Binary files /dev/null and b/public/images/logo.png differ -- cgit v1.2.3 From 689e85e78c106cefb6c83bcdbeae565d021d2e96 Mon Sep 17 00:00:00 2001 From: Adam Carpenter <53hornet@gmail.com> Date: Fri, 3 May 2019 18:54:32 -0400 Subject: Broke apart journal page elements, restored favicon. --- public/images/favicon.ico | Bin 53694 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 public/images/favicon.ico (limited to 'public') diff --git a/public/images/favicon.ico b/public/images/favicon.ico deleted file mode 100644 index 62c2f88..0000000 Binary files a/public/images/favicon.ico and /dev/null differ -- cgit v1.2.3 From 625b38ba757003d180e9d16223ce07b902b96ce2 Mon Sep 17 00:00:00 2001 From: Adam Carpenter <53hornet@gmail.com> Date: Sat, 4 May 2019 12:38:26 -0400 Subject: Added lunr.js --- public/js/lunr.js | 3471 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 3471 insertions(+) create mode 100644 public/js/lunr.js (limited to 'public') diff --git a/public/js/lunr.js b/public/js/lunr.js new file mode 100644 index 0000000..1dc8e5f --- /dev/null +++ b/public/js/lunr.js @@ -0,0 +1,3471 @@ +/** + * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.6 + * Copyright (C) 2019 Oliver Nightingale + * @license MIT + */ + +;(function(){ + +/** + * A convenience function for configuring and constructing + * a new lunr Index. + * + * A lunr.Builder instance is created and the pipeline setup + * with a trimmer, stop word filter and stemmer. + * + * This builder object is yielded to the configuration function + * that is passed as a parameter, allowing the list of fields + * and other builder parameters to be customised. + * + * All documents _must_ be added within the passed config function. + * + * @example + * var idx = lunr(function () { + * this.field('title') + * this.field('body') + * this.ref('id') + * + * documents.forEach(function (doc) { + * this.add(doc) + * }, this) + * }) + * + * @see {@link lunr.Builder} + * @see {@link lunr.Pipeline} + * @see {@link lunr.trimmer} + * @see {@link lunr.stopWordFilter} + * @see {@link lunr.stemmer} + * @namespace {function} lunr + */ +var lunr = function (config) { + var builder = new lunr.Builder + + builder.pipeline.add( + lunr.trimmer, + lunr.stopWordFilter, + lunr.stemmer + ) + + builder.searchPipeline.add( + lunr.stemmer + ) + + config.call(builder, builder) + return builder.build() +} + +lunr.version = "2.3.6" +/*! + * lunr.utils + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A namespace containing utils for the rest of the lunr library + * @namespace lunr.utils + */ +lunr.utils = {} + +/** + * Print a warning message to the console. + * + * @param {String} message The message to be printed. + * @memberOf lunr.utils + * @function + */ +lunr.utils.warn = (function (global) { + /* eslint-disable no-console */ + return function (message) { + if (global.console && console.warn) { + console.warn(message) + } + } + /* eslint-enable no-console */ +})(this) + +/** + * Convert an object to a string. + * + * In the case of `null` and `undefined` the function returns + * the empty string, in all other cases the result of calling + * `toString` on the passed object is returned. + * + * @param {Any} obj The object to convert to a string. + * @return {String} string representation of the passed object. + * @memberOf lunr.utils + */ +lunr.utils.asString = function (obj) { + if (obj === void 0 || obj === null) { + return "" + } else { + return obj.toString() + } +} + +/** + * Clones an object. + * + * Will create a copy of an existing object such that any mutations + * on the copy cannot affect the original. + * + * Only shallow objects are supported, passing a nested object to this + * function will cause a TypeError. + * + * Objects with primitives, and arrays of primitives are supported. + * + * @param {Object} obj The object to clone. + * @return {Object} a clone of the passed object. + * @throws {TypeError} when a nested object is passed. + * @memberOf Utils + */ +lunr.utils.clone = function (obj) { + if (obj === null || obj === undefined) { + return obj + } + + var clone = Object.create(null), + keys = Object.keys(obj) + + for (var i = 0; i < keys.length; i++) { + var key = keys[i], + val = obj[key] + + if (Array.isArray(val)) { + clone[key] = val.slice() + continue + } + + if (typeof val === 'string' || + typeof val === 'number' || + typeof val === 'boolean') { + clone[key] = val + continue + } + + throw new TypeError("clone is not deep and does not support nested objects") + } + + return clone +} +lunr.FieldRef = function (docRef, fieldName, stringValue) { + this.docRef = docRef + this.fieldName = fieldName + this._stringValue = stringValue +} + +lunr.FieldRef.joiner = "/" + +lunr.FieldRef.fromString = function (s) { + var n = s.indexOf(lunr.FieldRef.joiner) + + if (n === -1) { + throw "malformed field ref string" + } + + var fieldRef = s.slice(0, n), + docRef = s.slice(n + 1) + + return new lunr.FieldRef (docRef, fieldRef, s) +} + +lunr.FieldRef.prototype.toString = function () { + if (this._stringValue == undefined) { + this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef + } + + return this._stringValue +} +/*! + * lunr.Set + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A lunr set. + * + * @constructor + */ +lunr.Set = function (elements) { + this.elements = Object.create(null) + + if (elements) { + this.length = elements.length + + for (var i = 0; i < this.length; i++) { + this.elements[elements[i]] = true + } + } else { + this.length = 0 + } +} + +/** + * A complete set that contains all elements. + * + * @static + * @readonly + * @type {lunr.Set} + */ +lunr.Set.complete = { + intersect: function (other) { + return other + }, + + union: function (other) { + return other + }, + + contains: function () { + return true + } +} + +/** + * An empty set that contains no elements. + * + * @static + * @readonly + * @type {lunr.Set} + */ +lunr.Set.empty = { + intersect: function () { + return this + }, + + union: function (other) { + return other + }, + + contains: function () { + return false + } +} + +/** + * Returns true if this set contains the specified object. + * + * @param {object} object - Object whose presence in this set is to be tested. + * @returns {boolean} - True if this set contains the specified object. + */ +lunr.Set.prototype.contains = function (object) { + return !!this.elements[object] +} + +/** + * Returns a new set containing only the elements that are present in both + * this set and the specified set. + * + * @param {lunr.Set} other - set to intersect with this set. + * @returns {lunr.Set} a new set that is the intersection of this and the specified set. + */ + +lunr.Set.prototype.intersect = function (other) { + var a, b, elements, intersection = [] + + if (other === lunr.Set.complete) { + return this + } + + if (other === lunr.Set.empty) { + return other + } + + if (this.length < other.length) { + a = this + b = other + } else { + a = other + b = this + } + + elements = Object.keys(a.elements) + + for (var i = 0; i < elements.length; i++) { + var element = elements[i] + if (element in b.elements) { + intersection.push(element) + } + } + + return new lunr.Set (intersection) +} + +/** + * Returns a new set combining the elements of this and the specified set. + * + * @param {lunr.Set} other - set to union with this set. + * @return {lunr.Set} a new set that is the union of this and the specified set. + */ + +lunr.Set.prototype.union = function (other) { + if (other === lunr.Set.complete) { + return lunr.Set.complete + } + + if (other === lunr.Set.empty) { + return this + } + + return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements))) +} +/** + * A function to calculate the inverse document frequency for + * a posting. This is shared between the builder and the index + * + * @private + * @param {object} posting - The posting for a given term + * @param {number} documentCount - The total number of documents. + */ +lunr.idf = function (posting, documentCount) { + var documentsWithTerm = 0 + + for (var fieldName in posting) { + if (fieldName == '_index') continue // Ignore the term index, its not a field + documentsWithTerm += Object.keys(posting[fieldName]).length + } + + var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5) + + return Math.log(1 + Math.abs(x)) +} + +/** + * A token wraps a string representation of a token + * as it is passed through the text processing pipeline. + * + * @constructor + * @param {string} [str=''] - The string token being wrapped. + * @param {object} [metadata={}] - Metadata associated with this token. + */ +lunr.Token = function (str, metadata) { + this.str = str || "" + this.metadata = metadata || {} +} + +/** + * Returns the token string that is being wrapped by this object. + * + * @returns {string} + */ +lunr.Token.prototype.toString = function () { + return this.str +} + +/** + * A token update function is used when updating or optionally + * when cloning a token. + * + * @callback lunr.Token~updateFunction + * @param {string} str - The string representation of the token. + * @param {Object} metadata - All metadata associated with this token. + */ + +/** + * Applies the given function to the wrapped string token. + * + * @example + * token.update(function (str, metadata) { + * return str.toUpperCase() + * }) + * + * @param {lunr.Token~updateFunction} fn - A function to apply to the token string. + * @returns {lunr.Token} + */ +lunr.Token.prototype.update = function (fn) { + this.str = fn(this.str, this.metadata) + return this +} + +/** + * Creates a clone of this token. Optionally a function can be + * applied to the cloned token. + * + * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token. + * @returns {lunr.Token} + */ +lunr.Token.prototype.clone = function (fn) { + fn = fn || function (s) { return s } + return new lunr.Token (fn(this.str, this.metadata), this.metadata) +} +/*! + * lunr.tokenizer + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A function for splitting a string into tokens ready to be inserted into + * the search index. Uses `lunr.tokenizer.separator` to split strings, change + * the value of this property to change how strings are split into tokens. + * + * This tokenizer will convert its parameter to a string by calling `toString` and + * then will split this string on the character in `lunr.tokenizer.separator`. + * Arrays will have their elements converted to strings and wrapped in a lunr.Token. + * + * Optional metadata can be passed to the tokenizer, this metadata will be cloned and + * added as metadata to every token that is created from the object to be tokenized. + * + * @static + * @param {?(string|object|object[])} obj - The object to convert into tokens + * @param {?object} metadata - Optional metadata to associate with every token + * @returns {lunr.Token[]} + * @see {@link lunr.Pipeline} + */ +lunr.tokenizer = function (obj, metadata) { + if (obj == null || obj == undefined) { + return [] + } + + if (Array.isArray(obj)) { + return obj.map(function (t) { + return new lunr.Token( + lunr.utils.asString(t).toLowerCase(), + lunr.utils.clone(metadata) + ) + }) + } + + var str = obj.toString().trim().toLowerCase(), + len = str.length, + tokens = [] + + for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) { + var char = str.charAt(sliceEnd), + sliceLength = sliceEnd - sliceStart + + if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) { + + if (sliceLength > 0) { + var tokenMetadata = lunr.utils.clone(metadata) || {} + tokenMetadata["position"] = [sliceStart, sliceLength] + tokenMetadata["index"] = tokens.length + + tokens.push( + new lunr.Token ( + str.slice(sliceStart, sliceEnd), + tokenMetadata + ) + ) + } + + sliceStart = sliceEnd + 1 + } + + } + + return tokens +} + +/** + * The separator used to split a string into tokens. Override this property to change the behaviour of + * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens. + * + * @static + * @see lunr.tokenizer + */ +lunr.tokenizer.separator = /[\s\-]+/ +/*! + * lunr.Pipeline + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.Pipelines maintain an ordered list of functions to be applied to all + * tokens in documents entering the search index and queries being ran against + * the index. + * + * An instance of lunr.Index created with the lunr shortcut will contain a + * pipeline with a stop word filter and an English language stemmer. Extra + * functions can be added before or after either of these functions or these + * default functions can be removed. + * + * When run the pipeline will call each function in turn, passing a token, the + * index of that token in the original list of all tokens and finally a list of + * all the original tokens. + * + * The output of functions in the pipeline will be passed to the next function + * in the pipeline. To exclude a token from entering the index the function + * should return undefined, the rest of the pipeline will not be called with + * this token. + * + * For serialisation of pipelines to work, all functions used in an instance of + * a pipeline should be registered with lunr.Pipeline. Registered functions can + * then be loaded. If trying to load a serialised pipeline that uses functions + * that are not registered an error will be thrown. + * + * If not planning on serialising the pipeline then registering pipeline functions + * is not necessary. + * + * @constructor + */ +lunr.Pipeline = function () { + this._stack = [] +} + +lunr.Pipeline.registeredFunctions = Object.create(null) + +/** + * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token + * string as well as all known metadata. A pipeline function can mutate the token string + * or mutate (or add) metadata for a given token. + * + * A pipeline function can indicate that the passed token should be discarded by returning + * null. This token will not be passed to any downstream pipeline functions and will not be + * added to the index. + * + * Multiple tokens can be returned by returning an array of tokens. Each token will be passed + * to any downstream pipeline functions and all will returned tokens will be added to the index. + * + * Any number of pipeline functions may be chained together using a lunr.Pipeline. + * + * @interface lunr.PipelineFunction + * @param {lunr.Token} token - A token from the document being processed. + * @param {number} i - The index of this token in the complete list of tokens for this document/field. + * @param {lunr.Token[]} tokens - All tokens for this document/field. + * @returns {(?lunr.Token|lunr.Token[])} + */ + +/** + * Register a function with the pipeline. + * + * Functions that are used in the pipeline should be registered if the pipeline + * needs to be serialised, or a serialised pipeline needs to be loaded. + * + * Registering a function does not add it to a pipeline, functions must still be + * added to instances of the pipeline for them to be used when running a pipeline. + * + * @param {lunr.PipelineFunction} fn - The function to check for. + * @param {String} label - The label to register this function with + */ +lunr.Pipeline.registerFunction = function (fn, label) { + if (label in this.registeredFunctions) { + lunr.utils.warn('Overwriting existing registered function: ' + label) + } + + fn.label = label + lunr.Pipeline.registeredFunctions[fn.label] = fn +} + +/** + * Warns if the function is not registered as a Pipeline function. + * + * @param {lunr.PipelineFunction} fn - The function to check for. + * @private + */ +lunr.Pipeline.warnIfFunctionNotRegistered = function (fn) { + var isRegistered = fn.label && (fn.label in this.registeredFunctions) + + if (!isRegistered) { + lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\n', fn) + } +} + +/** + * Loads a previously serialised pipeline. + * + * All functions to be loaded must already be registered with lunr.Pipeline. + * If any function from the serialised data has not been registered then an + * error will be thrown. + * + * @param {Object} serialised - The serialised pipeline to load. + * @returns {lunr.Pipeline} + */ +lunr.Pipeline.load = function (serialised) { + var pipeline = new lunr.Pipeline + + serialised.forEach(function (fnName) { + var fn = lunr.Pipeline.registeredFunctions[fnName] + + if (fn) { + pipeline.add(fn) + } else { + throw new Error('Cannot load unregistered function: ' + fnName) + } + }) + + return pipeline +} + +/** + * Adds new functions to the end of the pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline. + */ +lunr.Pipeline.prototype.add = function () { + var fns = Array.prototype.slice.call(arguments) + + fns.forEach(function (fn) { + lunr.Pipeline.warnIfFunctionNotRegistered(fn) + this._stack.push(fn) + }, this) +} + +/** + * Adds a single function after a function that already exists in the + * pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. + * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. + */ +lunr.Pipeline.prototype.after = function (existingFn, newFn) { + lunr.Pipeline.warnIfFunctionNotRegistered(newFn) + + var pos = this._stack.indexOf(existingFn) + if (pos == -1) { + throw new Error('Cannot find existingFn') + } + + pos = pos + 1 + this._stack.splice(pos, 0, newFn) +} + +/** + * Adds a single function before a function that already exists in the + * pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. + * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. + */ +lunr.Pipeline.prototype.before = function (existingFn, newFn) { + lunr.Pipeline.warnIfFunctionNotRegistered(newFn) + + var pos = this._stack.indexOf(existingFn) + if (pos == -1) { + throw new Error('Cannot find existingFn') + } + + this._stack.splice(pos, 0, newFn) +} + +/** + * Removes a function from the pipeline. + * + * @param {lunr.PipelineFunction} fn The function to remove from the pipeline. + */ +lunr.Pipeline.prototype.remove = function (fn) { + var pos = this._stack.indexOf(fn) + if (pos == -1) { + return + } + + this._stack.splice(pos, 1) +} + +/** + * Runs the current list of functions that make up the pipeline against the + * passed tokens. + * + * @param {Array} tokens The tokens to run through the pipeline. + * @returns {Array} + */ +lunr.Pipeline.prototype.run = function (tokens) { + var stackLength = this._stack.length + + for (var i = 0; i < stackLength; i++) { + var fn = this._stack[i] + var memo = [] + + for (var j = 0; j < tokens.length; j++) { + var result = fn(tokens[j], j, tokens) + + if (result === void 0 || result === '') continue + + if (Array.isArray(result)) { + for (var k = 0; k < result.length; k++) { + memo.push(result[k]) + } + } else { + memo.push(result) + } + } + + tokens = memo + } + + return tokens +} + +/** + * Convenience method for passing a string through a pipeline and getting + * strings out. This method takes care of wrapping the passed string in a + * token and mapping the resulting tokens back to strings. + * + * @param {string} str - The string to pass through the pipeline. + * @param {?object} metadata - Optional metadata to associate with the token + * passed to the pipeline. + * @returns {string[]} + */ +lunr.Pipeline.prototype.runString = function (str, metadata) { + var token = new lunr.Token (str, metadata) + + return this.run([token]).map(function (t) { + return t.toString() + }) +} + +/** + * Resets the pipeline by removing any existing processors. + * + */ +lunr.Pipeline.prototype.reset = function () { + this._stack = [] +} + +/** + * Returns a representation of the pipeline ready for serialisation. + * + * Logs a warning if the function has not been registered. + * + * @returns {Array} + */ +lunr.Pipeline.prototype.toJSON = function () { + return this._stack.map(function (fn) { + lunr.Pipeline.warnIfFunctionNotRegistered(fn) + + return fn.label + }) +} +/*! + * lunr.Vector + * Copyright (C) 2019 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 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() || 0 +} + +/** + * 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) 2019 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} + * @function + */ +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) 2019 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. + * + * @function + * @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. + * + * @function + * @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) 2019 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) 2019 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 + } + + stack.push({ + node: noEditNode, + editsRemaining: frame.editsRemaining, + str: frame.str.slice(1) + }) + } + + if (frame.editsRemaining == 0) { + continue + } + + // insertion + 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 + } + + stack.push({ + node: insertionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str + }) + + // 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.str.length > 1) { + stack.push({ + node: frame.node, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + + // deletion + // just removing the last character from the str + if (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.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 + } + + stack.push({ + node: substitutionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + + // transposition + // can only do a transposition if there are edits remaining + // and there are enough characters to transpose + if (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 + } + + 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 + + /* + * Iterates through all characters within the passed string + * appending a node for each character. + * + * When 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 == "*") { + node.edges[char] = node + node.final = final + + } else { + var next = new lunr.TokenSet + next.final = final + + node.edges[char] = next + node = next + } + } + + 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) { + /* In Safari, at this point the prefix is sometimes corrupted, see: + * https://github.com/olivernn/lunr.js/issues/279 Calling any + * String.prototype method forces Safari to "cast" this string to what + * it's supposed to be, fixing the bug. */ + 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) 2019 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} attrs.fieldVectors - Field vectors + * @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. + * + * Each term also supports a presence modifier. By default a term's presence in document is optional, however + * this can be changed to either required or prohibited. For a term's presence to be required in a document the + * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and + * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not + * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'. + * + * 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 Simple single term query + * hello + * @example Multiple term query + * hello world + * @example term scoped to a field + * title:hello + * @example term with a boost of 10 + * hello^10 + * @example term with an edit distance of 2 + * hello~2 + * @example terms with presence modifiers + * -foo +bar baz + */ + +/** + * 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 details on how the score is calculated, please see + * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}. + * + * 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), + requiredMatches = Object.create(null), + prohibitedMatches = Object.create(null) + + /* + * To support field level boosts a query vector is created per + * field. An empty vector is eagerly created to support negated + * queries. + */ + for (var i = 0; i < this.fields.length; i++) { + queryVectors[this.fields[i]] = new lunr.Vector + } + + 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, + clauseMatches = lunr.Set.complete + + if (clause.usePipeline) { + terms = this.pipeline.runString(clause.term, { + fields: clause.fields + }) + } 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() + + /* + * If a term marked as required does not exist in the tokenSet it is + * impossible for the search to return any matches. We set all the field + * scoped required matches set to empty and stop examining any further + * clauses. + */ + if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) { + for (var k = 0; k < clause.fields.length; k++) { + var field = clause.fields[k] + requiredMatches[field] = lunr.Set.empty + } + + break + } + + 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, + matchingDocumentsSet = new lunr.Set(matchingDocumentRefs) + + /* + * if the presence of this term is required ensure that the matching + * documents are added to the set of required matches for this clause. + * + */ + if (clause.presence == lunr.Query.presence.REQUIRED) { + clauseMatches = clauseMatches.union(matchingDocumentsSet) + + if (requiredMatches[field] === undefined) { + requiredMatches[field] = lunr.Set.complete + } + } + + /* + * if the presence of this term is prohibited ensure that the matching + * documents are added to the set of prohibited matches for this field, + * creating that set if it does not yet exist. + */ + if (clause.presence == lunr.Query.presence.PROHIBITED) { + if (prohibitedMatches[field] === undefined) { + prohibitedMatches[field] = lunr.Set.empty + } + + prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet) + + /* + * Prohibited matches should not be part of the query vector used for + * similarity scoring and no metadata should be extracted so we continue + * to the next field + */ + continue + } + + /* + * The query field vector is populated using the termIndex found for + * the term and a unit value with the appropriate boost applied. + * 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, 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 + } + } + } + + /** + * If the presence was required we need to update the requiredMatches field sets. + * We do this after all fields for the term have collected their matches because + * the clause terms presence is required in _any_ of the fields not _all_ of the + * fields. + */ + if (clause.presence === lunr.Query.presence.REQUIRED) { + for (var k = 0; k < clause.fields.length; k++) { + var field = clause.fields[k] + requiredMatches[field] = requiredMatches[field].intersect(clauseMatches) + } + } + } + + /** + * Need to combine the field scoped required and prohibited + * matching documents into a global set of required and prohibited + * matches + */ + var allRequiredMatches = lunr.Set.complete, + allProhibitedMatches = lunr.Set.empty + + for (var i = 0; i < this.fields.length; i++) { + var field = this.fields[i] + + if (requiredMatches[field]) { + allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field]) + } + + if (prohibitedMatches[field]) { + allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field]) + } + } + + var matchingFieldRefs = Object.keys(matchingFields), + results = [], + matches = Object.create(null) + + /* + * If the query is negated (contains only prohibited terms) + * we need to get _all_ fieldRefs currently existing in the + * index. This is only done when we know that the query is + * entirely prohibited terms to avoid any cost of getting all + * fieldRefs unnecessarily. + * + * Additionally, blank MatchData must be created to correctly + * populate the results. + */ + if (query.isNegated()) { + matchingFieldRefs = Object.keys(this.fieldVectors) + + for (var i = 0; i < matchingFieldRefs.length; i++) { + var matchingFieldRef = matchingFieldRefs[i] + var fieldRef = lunr.FieldRef.fromString(matchingFieldRef) + matchingFields[matchingFieldRef] = new lunr.MatchData + } + } + + 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 + + if (!allRequiredMatches.contains(docRef)) { + continue + } + + if (allProhibitedMatches.contains(docRef)) { + continue + } + + var 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 = Object.create(null), + 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) 2019 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 = Object.create(null) + this._documents = Object.create(null) + 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 +} + +/** + * A function that is used to extract a field from a document. + * + * Lunr expects a field to be at the top level of a document, if however the field + * is deeply nested within a document an extractor function can be used to extract + * the right field for indexing. + * + * @callback fieldExtractor + * @param {object} doc - The document being added to the index. + * @returns {?(string|object|object[])} obj - The object that will be indexed for this field. + * @example Extracting a nested field + * function (doc) { return doc.nested.field } + */ + +/** + * 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. + * + * Fields can be boosted at build time. This allows terms within that field to have more + * importance when ranking search results. Use a field boost to specify that matches within + * one field are more important than other fields. + * + * @param {string} fieldName - The name of a field to index in all documents. + * @param {object} attributes - Optional attributes associated with this field. + * @param {number} [attributes.boost=1] - Boost applied to all terms within this field. + * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document. + * @throws {RangeError} fieldName cannot contain unsupported characters '/' + */ +lunr.Builder.prototype.field = function (fieldName, attributes) { + if (/\//.test(fieldName)) { + throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'") + } + + this._fields[fieldName] = attributes || {} +} + +/** + * 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. + * + * Entire documents can be boosted at build time. Applying a boost to a document indicates that + * this document should rank higher in search results than other documents. + * + * @param {object} doc - The document to add to the index. + * @param {object} attributes - Optional attributes associated with this document. + * @param {number} [attributes.boost=1] - Boost applied to all terms within this document. + */ +lunr.Builder.prototype.add = function (doc, attributes) { + var docRef = doc[this._ref], + fields = Object.keys(this._fields) + + this._documents[docRef] = attributes || {} + this.documentCount += 1 + + for (var i = 0; i < fields.length; i++) { + var fieldName = fields[i], + extractor = this._fields[fieldName].extractor, + field = extractor ? extractor(doc) : doc[fieldName], + tokens = this.tokenizer(field, { + fields: [fieldName] + }), + 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 < fields.length; k++) { + posting[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] + } + + var fields = Object.keys(this._fields) + + for (var i = 0; i < fields.length; i++) { + var fieldName = fields[i] + accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName] + } + + 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]), + fieldName = fieldRef.fieldName, + fieldLength = this.fieldLengths[fieldRef], + fieldVector = new lunr.Vector, + termFrequencies = this.fieldTermFrequencies[fieldRef], + terms = Object.keys(termFrequencies), + termsLength = terms.length + + + var fieldBoost = this._fields[fieldName].boost || 1, + docBoost = this._documents[fieldRef.docRef].boost || 1 + + 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[fieldName])) + tf) + score *= fieldBoost + score *= docBoost + 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: Object.keys(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) + + if (term !== undefined) { + 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 query term with trailing wildcard + * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING }) + * @example query term with leading and trailing wildcard + * 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 + +/** + * Constants for indicating what kind of presence a term must have in matching documents. + * + * @constant + * @enum {number} + * @see lunr.Query~Clause + * @see lunr.Query#clause + * @see lunr.Query#term + * @example query term with required presence + * query.term('foo', { presence: lunr.Query.presence.REQUIRED }) + */ +lunr.Query.presence = { + /** + * Term's presence in a document is optional, this is the default value. + */ + OPTIONAL: 1, + + /** + * Term's presence in a document is required, documents that do not contain + * this term will not be returned. + */ + REQUIRED: 2, + + /** + * Term's presence in a document is prohibited, documents that do contain + * this term will not be returned. + */ + PROHIBITED: 3 +} + +/** + * 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=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended. + * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents. + */ + +/** + * 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 + "*" + } + + if (!('presence' in clause)) { + clause.presence = lunr.Query.presence.OPTIONAL + } + + this.clauses.push(clause) + + return this +} + +/** + * A negated query is one in which every clause has a presence of + * prohibited. These queries require some special processing to return + * the expected results. + * + * @returns boolean + */ +lunr.Query.prototype.isNegated = function () { + for (var i = 0; i < this.clauses.length; i++) { + if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) { + return false + } + } + + return true +} + +/** + * 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. + * + * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion + * to a token or token-like string should be done before calling this method. + * + * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an + * array, each term in the array will share the same options. + * + * @param {object|object[]} term - The term(s) 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 adding a single term to a query + * query.term("foo") + * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard + * query.term("foo", { + * fields: ["title"], + * boost: 10, + * wildcard: lunr.Query.wildcard.TRAILING + * }) + * @example using lunr.tokenizer to convert a string to tokens before using them as terms + * query.term(lunr.tokenizer("foo bar")) + */ +lunr.Query.prototype.term = function (term, options) { + if (Array.isArray(term)) { + term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this) + return this + } + + var clause = options || {} + clause.term = term.toString() + + 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.PRESENCE = 'PRESENCE' + +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 + } + + // "+" indicates term presence is required + // checking for length to ensure that only + // leading "+" are considered + if (char == "+" && lexer.width() === 1) { + lexer.emit(lunr.QueryLexer.PRESENCE) + return lunr.QueryLexer.lexText + } + + // "-" indicates term presence is prohibited + // checking for length to ensure that only + // leading "-" are considered + if (char == "-" && lexer.width() === 1) { + lexer.emit(lunr.QueryLexer.PRESENCE) + return lunr.QueryLexer.lexText + } + + 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.parseClause + + 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.parseClause = function (parser) { + var lexeme = parser.peekLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.type) { + case lunr.QueryLexer.PRESENCE: + return lunr.QueryParser.parsePresence + 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.parsePresence = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.str) { + case "-": + parser.currentClause.presence = lunr.Query.presence.PROHIBITED + break + case "+": + parser.currentClause.presence = lunr.Query.presence.REQUIRED + break + default: + var errorMessage = "unrecognised presence operator'" + lexeme.str + "'" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + var errorMessage = "expecting term or field, found nothing" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.FIELD: + return lunr.QueryParser.parseField + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.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 + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + 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 + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + 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 + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + 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 + })) +})(); -- cgit v1.2.3 From c7e3a802639ba8bfadbf92a8795b7f80277cf6eb Mon Sep 17 00:00:00 2001 From: Adam Carpenter <53hornet@gmail.com> Date: Fri, 24 May 2019 18:05:52 -0400 Subject: Merge --- public/js/posts.lunr.js | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 public/js/posts.lunr.js (limited to 'public') diff --git a/public/js/posts.lunr.js b/public/js/posts.lunr.js new file mode 100644 index 0000000..bea1216 --- /dev/null +++ b/public/js/posts.lunr.js @@ -0,0 +1,23 @@ +let documents = [{ + "name": "Lunr", + "text": "Like Solr, but much smaller, and not as bright." +}, { + "name": "React", + "text": "A JavaScript library for building user interfaces." +}, { + "name": "Lodash", + "text": "A modern JavaScript utility library delivering modularity, performance & extras." +}]; + +function search() { + let searchIndex = lunr(function() { + this.ref("name") + this.field("text") + + documents.forEach(function(doc) { + this.add(doc) + }, this) + }); + + return searchIndex.search("bright"); +} -- cgit v1.2.3 From cd1969f17742d9d72b1502cb2a6baa62e8be5c3e Mon Sep 17 00:00:00 2001 From: Adam Carpenter Date: Mon, 3 Jun 2019 20:19:17 -0400 Subject: Let's call it version 1.0. --- public/js/lunr.js | 3471 ----------------------------------------------- public/js/posts.lunr.js | 23 - 2 files changed, 3494 deletions(-) delete mode 100644 public/js/lunr.js delete mode 100644 public/js/posts.lunr.js (limited to 'public') diff --git a/public/js/lunr.js b/public/js/lunr.js deleted file mode 100644 index 1dc8e5f..0000000 --- a/public/js/lunr.js +++ /dev/null @@ -1,3471 +0,0 @@ -/** - * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.6 - * Copyright (C) 2019 Oliver Nightingale - * @license MIT - */ - -;(function(){ - -/** - * A convenience function for configuring and constructing - * a new lunr Index. - * - * A lunr.Builder instance is created and the pipeline setup - * with a trimmer, stop word filter and stemmer. - * - * This builder object is yielded to the configuration function - * that is passed as a parameter, allowing the list of fields - * and other builder parameters to be customised. - * - * All documents _must_ be added within the passed config function. - * - * @example - * var idx = lunr(function () { - * this.field('title') - * this.field('body') - * this.ref('id') - * - * documents.forEach(function (doc) { - * this.add(doc) - * }, this) - * }) - * - * @see {@link lunr.Builder} - * @see {@link lunr.Pipeline} - * @see {@link lunr.trimmer} - * @see {@link lunr.stopWordFilter} - * @see {@link lunr.stemmer} - * @namespace {function} lunr - */ -var lunr = function (config) { - var builder = new lunr.Builder - - builder.pipeline.add( - lunr.trimmer, - lunr.stopWordFilter, - lunr.stemmer - ) - - builder.searchPipeline.add( - lunr.stemmer - ) - - config.call(builder, builder) - return builder.build() -} - -lunr.version = "2.3.6" -/*! - * lunr.utils - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * A namespace containing utils for the rest of the lunr library - * @namespace lunr.utils - */ -lunr.utils = {} - -/** - * Print a warning message to the console. - * - * @param {String} message The message to be printed. - * @memberOf lunr.utils - * @function - */ -lunr.utils.warn = (function (global) { - /* eslint-disable no-console */ - return function (message) { - if (global.console && console.warn) { - console.warn(message) - } - } - /* eslint-enable no-console */ -})(this) - -/** - * Convert an object to a string. - * - * In the case of `null` and `undefined` the function returns - * the empty string, in all other cases the result of calling - * `toString` on the passed object is returned. - * - * @param {Any} obj The object to convert to a string. - * @return {String} string representation of the passed object. - * @memberOf lunr.utils - */ -lunr.utils.asString = function (obj) { - if (obj === void 0 || obj === null) { - return "" - } else { - return obj.toString() - } -} - -/** - * Clones an object. - * - * Will create a copy of an existing object such that any mutations - * on the copy cannot affect the original. - * - * Only shallow objects are supported, passing a nested object to this - * function will cause a TypeError. - * - * Objects with primitives, and arrays of primitives are supported. - * - * @param {Object} obj The object to clone. - * @return {Object} a clone of the passed object. - * @throws {TypeError} when a nested object is passed. - * @memberOf Utils - */ -lunr.utils.clone = function (obj) { - if (obj === null || obj === undefined) { - return obj - } - - var clone = Object.create(null), - keys = Object.keys(obj) - - for (var i = 0; i < keys.length; i++) { - var key = keys[i], - val = obj[key] - - if (Array.isArray(val)) { - clone[key] = val.slice() - continue - } - - if (typeof val === 'string' || - typeof val === 'number' || - typeof val === 'boolean') { - clone[key] = val - continue - } - - throw new TypeError("clone is not deep and does not support nested objects") - } - - return clone -} -lunr.FieldRef = function (docRef, fieldName, stringValue) { - this.docRef = docRef - this.fieldName = fieldName - this._stringValue = stringValue -} - -lunr.FieldRef.joiner = "/" - -lunr.FieldRef.fromString = function (s) { - var n = s.indexOf(lunr.FieldRef.joiner) - - if (n === -1) { - throw "malformed field ref string" - } - - var fieldRef = s.slice(0, n), - docRef = s.slice(n + 1) - - return new lunr.FieldRef (docRef, fieldRef, s) -} - -lunr.FieldRef.prototype.toString = function () { - if (this._stringValue == undefined) { - this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef - } - - return this._stringValue -} -/*! - * lunr.Set - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * A lunr set. - * - * @constructor - */ -lunr.Set = function (elements) { - this.elements = Object.create(null) - - if (elements) { - this.length = elements.length - - for (var i = 0; i < this.length; i++) { - this.elements[elements[i]] = true - } - } else { - this.length = 0 - } -} - -/** - * A complete set that contains all elements. - * - * @static - * @readonly - * @type {lunr.Set} - */ -lunr.Set.complete = { - intersect: function (other) { - return other - }, - - union: function (other) { - return other - }, - - contains: function () { - return true - } -} - -/** - * An empty set that contains no elements. - * - * @static - * @readonly - * @type {lunr.Set} - */ -lunr.Set.empty = { - intersect: function () { - return this - }, - - union: function (other) { - return other - }, - - contains: function () { - return false - } -} - -/** - * Returns true if this set contains the specified object. - * - * @param {object} object - Object whose presence in this set is to be tested. - * @returns {boolean} - True if this set contains the specified object. - */ -lunr.Set.prototype.contains = function (object) { - return !!this.elements[object] -} - -/** - * Returns a new set containing only the elements that are present in both - * this set and the specified set. - * - * @param {lunr.Set} other - set to intersect with this set. - * @returns {lunr.Set} a new set that is the intersection of this and the specified set. - */ - -lunr.Set.prototype.intersect = function (other) { - var a, b, elements, intersection = [] - - if (other === lunr.Set.complete) { - return this - } - - if (other === lunr.Set.empty) { - return other - } - - if (this.length < other.length) { - a = this - b = other - } else { - a = other - b = this - } - - elements = Object.keys(a.elements) - - for (var i = 0; i < elements.length; i++) { - var element = elements[i] - if (element in b.elements) { - intersection.push(element) - } - } - - return new lunr.Set (intersection) -} - -/** - * Returns a new set combining the elements of this and the specified set. - * - * @param {lunr.Set} other - set to union with this set. - * @return {lunr.Set} a new set that is the union of this and the specified set. - */ - -lunr.Set.prototype.union = function (other) { - if (other === lunr.Set.complete) { - return lunr.Set.complete - } - - if (other === lunr.Set.empty) { - return this - } - - return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements))) -} -/** - * A function to calculate the inverse document frequency for - * a posting. This is shared between the builder and the index - * - * @private - * @param {object} posting - The posting for a given term - * @param {number} documentCount - The total number of documents. - */ -lunr.idf = function (posting, documentCount) { - var documentsWithTerm = 0 - - for (var fieldName in posting) { - if (fieldName == '_index') continue // Ignore the term index, its not a field - documentsWithTerm += Object.keys(posting[fieldName]).length - } - - var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5) - - return Math.log(1 + Math.abs(x)) -} - -/** - * A token wraps a string representation of a token - * as it is passed through the text processing pipeline. - * - * @constructor - * @param {string} [str=''] - The string token being wrapped. - * @param {object} [metadata={}] - Metadata associated with this token. - */ -lunr.Token = function (str, metadata) { - this.str = str || "" - this.metadata = metadata || {} -} - -/** - * Returns the token string that is being wrapped by this object. - * - * @returns {string} - */ -lunr.Token.prototype.toString = function () { - return this.str -} - -/** - * A token update function is used when updating or optionally - * when cloning a token. - * - * @callback lunr.Token~updateFunction - * @param {string} str - The string representation of the token. - * @param {Object} metadata - All metadata associated with this token. - */ - -/** - * Applies the given function to the wrapped string token. - * - * @example - * token.update(function (str, metadata) { - * return str.toUpperCase() - * }) - * - * @param {lunr.Token~updateFunction} fn - A function to apply to the token string. - * @returns {lunr.Token} - */ -lunr.Token.prototype.update = function (fn) { - this.str = fn(this.str, this.metadata) - return this -} - -/** - * Creates a clone of this token. Optionally a function can be - * applied to the cloned token. - * - * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token. - * @returns {lunr.Token} - */ -lunr.Token.prototype.clone = function (fn) { - fn = fn || function (s) { return s } - return new lunr.Token (fn(this.str, this.metadata), this.metadata) -} -/*! - * lunr.tokenizer - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * A function for splitting a string into tokens ready to be inserted into - * the search index. Uses `lunr.tokenizer.separator` to split strings, change - * the value of this property to change how strings are split into tokens. - * - * This tokenizer will convert its parameter to a string by calling `toString` and - * then will split this string on the character in `lunr.tokenizer.separator`. - * Arrays will have their elements converted to strings and wrapped in a lunr.Token. - * - * Optional metadata can be passed to the tokenizer, this metadata will be cloned and - * added as metadata to every token that is created from the object to be tokenized. - * - * @static - * @param {?(string|object|object[])} obj - The object to convert into tokens - * @param {?object} metadata - Optional metadata to associate with every token - * @returns {lunr.Token[]} - * @see {@link lunr.Pipeline} - */ -lunr.tokenizer = function (obj, metadata) { - if (obj == null || obj == undefined) { - return [] - } - - if (Array.isArray(obj)) { - return obj.map(function (t) { - return new lunr.Token( - lunr.utils.asString(t).toLowerCase(), - lunr.utils.clone(metadata) - ) - }) - } - - var str = obj.toString().trim().toLowerCase(), - len = str.length, - tokens = [] - - for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) { - var char = str.charAt(sliceEnd), - sliceLength = sliceEnd - sliceStart - - if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) { - - if (sliceLength > 0) { - var tokenMetadata = lunr.utils.clone(metadata) || {} - tokenMetadata["position"] = [sliceStart, sliceLength] - tokenMetadata["index"] = tokens.length - - tokens.push( - new lunr.Token ( - str.slice(sliceStart, sliceEnd), - tokenMetadata - ) - ) - } - - sliceStart = sliceEnd + 1 - } - - } - - return tokens -} - -/** - * The separator used to split a string into tokens. Override this property to change the behaviour of - * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens. - * - * @static - * @see lunr.tokenizer - */ -lunr.tokenizer.separator = /[\s\-]+/ -/*! - * lunr.Pipeline - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * lunr.Pipelines maintain an ordered list of functions to be applied to all - * tokens in documents entering the search index and queries being ran against - * the index. - * - * An instance of lunr.Index created with the lunr shortcut will contain a - * pipeline with a stop word filter and an English language stemmer. Extra - * functions can be added before or after either of these functions or these - * default functions can be removed. - * - * When run the pipeline will call each function in turn, passing a token, the - * index of that token in the original list of all tokens and finally a list of - * all the original tokens. - * - * The output of functions in the pipeline will be passed to the next function - * in the pipeline. To exclude a token from entering the index the function - * should return undefined, the rest of the pipeline will not be called with - * this token. - * - * For serialisation of pipelines to work, all functions used in an instance of - * a pipeline should be registered with lunr.Pipeline. Registered functions can - * then be loaded. If trying to load a serialised pipeline that uses functions - * that are not registered an error will be thrown. - * - * If not planning on serialising the pipeline then registering pipeline functions - * is not necessary. - * - * @constructor - */ -lunr.Pipeline = function () { - this._stack = [] -} - -lunr.Pipeline.registeredFunctions = Object.create(null) - -/** - * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token - * string as well as all known metadata. A pipeline function can mutate the token string - * or mutate (or add) metadata for a given token. - * - * A pipeline function can indicate that the passed token should be discarded by returning - * null. This token will not be passed to any downstream pipeline functions and will not be - * added to the index. - * - * Multiple tokens can be returned by returning an array of tokens. Each token will be passed - * to any downstream pipeline functions and all will returned tokens will be added to the index. - * - * Any number of pipeline functions may be chained together using a lunr.Pipeline. - * - * @interface lunr.PipelineFunction - * @param {lunr.Token} token - A token from the document being processed. - * @param {number} i - The index of this token in the complete list of tokens for this document/field. - * @param {lunr.Token[]} tokens - All tokens for this document/field. - * @returns {(?lunr.Token|lunr.Token[])} - */ - -/** - * Register a function with the pipeline. - * - * Functions that are used in the pipeline should be registered if the pipeline - * needs to be serialised, or a serialised pipeline needs to be loaded. - * - * Registering a function does not add it to a pipeline, functions must still be - * added to instances of the pipeline for them to be used when running a pipeline. - * - * @param {lunr.PipelineFunction} fn - The function to check for. - * @param {String} label - The label to register this function with - */ -lunr.Pipeline.registerFunction = function (fn, label) { - if (label in this.registeredFunctions) { - lunr.utils.warn('Overwriting existing registered function: ' + label) - } - - fn.label = label - lunr.Pipeline.registeredFunctions[fn.label] = fn -} - -/** - * Warns if the function is not registered as a Pipeline function. - * - * @param {lunr.PipelineFunction} fn - The function to check for. - * @private - */ -lunr.Pipeline.warnIfFunctionNotRegistered = function (fn) { - var isRegistered = fn.label && (fn.label in this.registeredFunctions) - - if (!isRegistered) { - lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\n', fn) - } -} - -/** - * Loads a previously serialised pipeline. - * - * All functions to be loaded must already be registered with lunr.Pipeline. - * If any function from the serialised data has not been registered then an - * error will be thrown. - * - * @param {Object} serialised - The serialised pipeline to load. - * @returns {lunr.Pipeline} - */ -lunr.Pipeline.load = function (serialised) { - var pipeline = new lunr.Pipeline - - serialised.forEach(function (fnName) { - var fn = lunr.Pipeline.registeredFunctions[fnName] - - if (fn) { - pipeline.add(fn) - } else { - throw new Error('Cannot load unregistered function: ' + fnName) - } - }) - - return pipeline -} - -/** - * Adds new functions to the end of the pipeline. - * - * Logs a warning if the function has not been registered. - * - * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline. - */ -lunr.Pipeline.prototype.add = function () { - var fns = Array.prototype.slice.call(arguments) - - fns.forEach(function (fn) { - lunr.Pipeline.warnIfFunctionNotRegistered(fn) - this._stack.push(fn) - }, this) -} - -/** - * Adds a single function after a function that already exists in the - * pipeline. - * - * Logs a warning if the function has not been registered. - * - * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. - * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. - */ -lunr.Pipeline.prototype.after = function (existingFn, newFn) { - lunr.Pipeline.warnIfFunctionNotRegistered(newFn) - - var pos = this._stack.indexOf(existingFn) - if (pos == -1) { - throw new Error('Cannot find existingFn') - } - - pos = pos + 1 - this._stack.splice(pos, 0, newFn) -} - -/** - * Adds a single function before a function that already exists in the - * pipeline. - * - * Logs a warning if the function has not been registered. - * - * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. - * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. - */ -lunr.Pipeline.prototype.before = function (existingFn, newFn) { - lunr.Pipeline.warnIfFunctionNotRegistered(newFn) - - var pos = this._stack.indexOf(existingFn) - if (pos == -1) { - throw new Error('Cannot find existingFn') - } - - this._stack.splice(pos, 0, newFn) -} - -/** - * Removes a function from the pipeline. - * - * @param {lunr.PipelineFunction} fn The function to remove from the pipeline. - */ -lunr.Pipeline.prototype.remove = function (fn) { - var pos = this._stack.indexOf(fn) - if (pos == -1) { - return - } - - this._stack.splice(pos, 1) -} - -/** - * Runs the current list of functions that make up the pipeline against the - * passed tokens. - * - * @param {Array} tokens The tokens to run through the pipeline. - * @returns {Array} - */ -lunr.Pipeline.prototype.run = function (tokens) { - var stackLength = this._stack.length - - for (var i = 0; i < stackLength; i++) { - var fn = this._stack[i] - var memo = [] - - for (var j = 0; j < tokens.length; j++) { - var result = fn(tokens[j], j, tokens) - - if (result === void 0 || result === '') continue - - if (Array.isArray(result)) { - for (var k = 0; k < result.length; k++) { - memo.push(result[k]) - } - } else { - memo.push(result) - } - } - - tokens = memo - } - - return tokens -} - -/** - * Convenience method for passing a string through a pipeline and getting - * strings out. This method takes care of wrapping the passed string in a - * token and mapping the resulting tokens back to strings. - * - * @param {string} str - The string to pass through the pipeline. - * @param {?object} metadata - Optional metadata to associate with the token - * passed to the pipeline. - * @returns {string[]} - */ -lunr.Pipeline.prototype.runString = function (str, metadata) { - var token = new lunr.Token (str, metadata) - - return this.run([token]).map(function (t) { - return t.toString() - }) -} - -/** - * Resets the pipeline by removing any existing processors. - * - */ -lunr.Pipeline.prototype.reset = function () { - this._stack = [] -} - -/** - * Returns a representation of the pipeline ready for serialisation. - * - * Logs a warning if the function has not been registered. - * - * @returns {Array} - */ -lunr.Pipeline.prototype.toJSON = function () { - return this._stack.map(function (fn) { - lunr.Pipeline.warnIfFunctionNotRegistered(fn) - - return fn.label - }) -} -/*! - * lunr.Vector - * Copyright (C) 2019 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 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() || 0 -} - -/** - * 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) 2019 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} - * @function - */ -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) 2019 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. - * - * @function - * @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. - * - * @function - * @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) 2019 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) 2019 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 - } - - stack.push({ - node: noEditNode, - editsRemaining: frame.editsRemaining, - str: frame.str.slice(1) - }) - } - - if (frame.editsRemaining == 0) { - continue - } - - // insertion - 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 - } - - stack.push({ - node: insertionNode, - editsRemaining: frame.editsRemaining - 1, - str: frame.str - }) - - // 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.str.length > 1) { - stack.push({ - node: frame.node, - editsRemaining: frame.editsRemaining - 1, - str: frame.str.slice(1) - }) - } - - // deletion - // just removing the last character from the str - if (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.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 - } - - stack.push({ - node: substitutionNode, - editsRemaining: frame.editsRemaining - 1, - str: frame.str.slice(1) - }) - } - - // transposition - // can only do a transposition if there are edits remaining - // and there are enough characters to transpose - if (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 - } - - 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 - - /* - * Iterates through all characters within the passed string - * appending a node for each character. - * - * When 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 == "*") { - node.edges[char] = node - node.final = final - - } else { - var next = new lunr.TokenSet - next.final = final - - node.edges[char] = next - node = next - } - } - - 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) { - /* In Safari, at this point the prefix is sometimes corrupted, see: - * https://github.com/olivernn/lunr.js/issues/279 Calling any - * String.prototype method forces Safari to "cast" this string to what - * it's supposed to be, fixing the bug. */ - 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) 2019 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} attrs.fieldVectors - Field vectors - * @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. - * - * Each term also supports a presence modifier. By default a term's presence in document is optional, however - * this can be changed to either required or prohibited. For a term's presence to be required in a document the - * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and - * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not - * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'. - * - * 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 Simple single term query - * hello - * @example Multiple term query - * hello world - * @example term scoped to a field - * title:hello - * @example term with a boost of 10 - * hello^10 - * @example term with an edit distance of 2 - * hello~2 - * @example terms with presence modifiers - * -foo +bar baz - */ - -/** - * 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 details on how the score is calculated, please see - * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}. - * - * 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), - requiredMatches = Object.create(null), - prohibitedMatches = Object.create(null) - - /* - * To support field level boosts a query vector is created per - * field. An empty vector is eagerly created to support negated - * queries. - */ - for (var i = 0; i < this.fields.length; i++) { - queryVectors[this.fields[i]] = new lunr.Vector - } - - 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, - clauseMatches = lunr.Set.complete - - if (clause.usePipeline) { - terms = this.pipeline.runString(clause.term, { - fields: clause.fields - }) - } 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() - - /* - * If a term marked as required does not exist in the tokenSet it is - * impossible for the search to return any matches. We set all the field - * scoped required matches set to empty and stop examining any further - * clauses. - */ - if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) { - for (var k = 0; k < clause.fields.length; k++) { - var field = clause.fields[k] - requiredMatches[field] = lunr.Set.empty - } - - break - } - - 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, - matchingDocumentsSet = new lunr.Set(matchingDocumentRefs) - - /* - * if the presence of this term is required ensure that the matching - * documents are added to the set of required matches for this clause. - * - */ - if (clause.presence == lunr.Query.presence.REQUIRED) { - clauseMatches = clauseMatches.union(matchingDocumentsSet) - - if (requiredMatches[field] === undefined) { - requiredMatches[field] = lunr.Set.complete - } - } - - /* - * if the presence of this term is prohibited ensure that the matching - * documents are added to the set of prohibited matches for this field, - * creating that set if it does not yet exist. - */ - if (clause.presence == lunr.Query.presence.PROHIBITED) { - if (prohibitedMatches[field] === undefined) { - prohibitedMatches[field] = lunr.Set.empty - } - - prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet) - - /* - * Prohibited matches should not be part of the query vector used for - * similarity scoring and no metadata should be extracted so we continue - * to the next field - */ - continue - } - - /* - * The query field vector is populated using the termIndex found for - * the term and a unit value with the appropriate boost applied. - * 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, 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 - } - } - } - - /** - * If the presence was required we need to update the requiredMatches field sets. - * We do this after all fields for the term have collected their matches because - * the clause terms presence is required in _any_ of the fields not _all_ of the - * fields. - */ - if (clause.presence === lunr.Query.presence.REQUIRED) { - for (var k = 0; k < clause.fields.length; k++) { - var field = clause.fields[k] - requiredMatches[field] = requiredMatches[field].intersect(clauseMatches) - } - } - } - - /** - * Need to combine the field scoped required and prohibited - * matching documents into a global set of required and prohibited - * matches - */ - var allRequiredMatches = lunr.Set.complete, - allProhibitedMatches = lunr.Set.empty - - for (var i = 0; i < this.fields.length; i++) { - var field = this.fields[i] - - if (requiredMatches[field]) { - allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field]) - } - - if (prohibitedMatches[field]) { - allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field]) - } - } - - var matchingFieldRefs = Object.keys(matchingFields), - results = [], - matches = Object.create(null) - - /* - * If the query is negated (contains only prohibited terms) - * we need to get _all_ fieldRefs currently existing in the - * index. This is only done when we know that the query is - * entirely prohibited terms to avoid any cost of getting all - * fieldRefs unnecessarily. - * - * Additionally, blank MatchData must be created to correctly - * populate the results. - */ - if (query.isNegated()) { - matchingFieldRefs = Object.keys(this.fieldVectors) - - for (var i = 0; i < matchingFieldRefs.length; i++) { - var matchingFieldRef = matchingFieldRefs[i] - var fieldRef = lunr.FieldRef.fromString(matchingFieldRef) - matchingFields[matchingFieldRef] = new lunr.MatchData - } - } - - 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 - - if (!allRequiredMatches.contains(docRef)) { - continue - } - - if (allProhibitedMatches.contains(docRef)) { - continue - } - - var 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 = Object.create(null), - 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) 2019 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 = Object.create(null) - this._documents = Object.create(null) - 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 -} - -/** - * A function that is used to extract a field from a document. - * - * Lunr expects a field to be at the top level of a document, if however the field - * is deeply nested within a document an extractor function can be used to extract - * the right field for indexing. - * - * @callback fieldExtractor - * @param {object} doc - The document being added to the index. - * @returns {?(string|object|object[])} obj - The object that will be indexed for this field. - * @example Extracting a nested field - * function (doc) { return doc.nested.field } - */ - -/** - * 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. - * - * Fields can be boosted at build time. This allows terms within that field to have more - * importance when ranking search results. Use a field boost to specify that matches within - * one field are more important than other fields. - * - * @param {string} fieldName - The name of a field to index in all documents. - * @param {object} attributes - Optional attributes associated with this field. - * @param {number} [attributes.boost=1] - Boost applied to all terms within this field. - * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document. - * @throws {RangeError} fieldName cannot contain unsupported characters '/' - */ -lunr.Builder.prototype.field = function (fieldName, attributes) { - if (/\//.test(fieldName)) { - throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'") - } - - this._fields[fieldName] = attributes || {} -} - -/** - * 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. - * - * Entire documents can be boosted at build time. Applying a boost to a document indicates that - * this document should rank higher in search results than other documents. - * - * @param {object} doc - The document to add to the index. - * @param {object} attributes - Optional attributes associated with this document. - * @param {number} [attributes.boost=1] - Boost applied to all terms within this document. - */ -lunr.Builder.prototype.add = function (doc, attributes) { - var docRef = doc[this._ref], - fields = Object.keys(this._fields) - - this._documents[docRef] = attributes || {} - this.documentCount += 1 - - for (var i = 0; i < fields.length; i++) { - var fieldName = fields[i], - extractor = this._fields[fieldName].extractor, - field = extractor ? extractor(doc) : doc[fieldName], - tokens = this.tokenizer(field, { - fields: [fieldName] - }), - 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 < fields.length; k++) { - posting[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] - } - - var fields = Object.keys(this._fields) - - for (var i = 0; i < fields.length; i++) { - var fieldName = fields[i] - accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName] - } - - 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]), - fieldName = fieldRef.fieldName, - fieldLength = this.fieldLengths[fieldRef], - fieldVector = new lunr.Vector, - termFrequencies = this.fieldTermFrequencies[fieldRef], - terms = Object.keys(termFrequencies), - termsLength = terms.length - - - var fieldBoost = this._fields[fieldName].boost || 1, - docBoost = this._documents[fieldRef.docRef].boost || 1 - - 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[fieldName])) + tf) - score *= fieldBoost - score *= docBoost - 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: Object.keys(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) - - if (term !== undefined) { - 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 query term with trailing wildcard - * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING }) - * @example query term with leading and trailing wildcard - * 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 - -/** - * Constants for indicating what kind of presence a term must have in matching documents. - * - * @constant - * @enum {number} - * @see lunr.Query~Clause - * @see lunr.Query#clause - * @see lunr.Query#term - * @example query term with required presence - * query.term('foo', { presence: lunr.Query.presence.REQUIRED }) - */ -lunr.Query.presence = { - /** - * Term's presence in a document is optional, this is the default value. - */ - OPTIONAL: 1, - - /** - * Term's presence in a document is required, documents that do not contain - * this term will not be returned. - */ - REQUIRED: 2, - - /** - * Term's presence in a document is prohibited, documents that do contain - * this term will not be returned. - */ - PROHIBITED: 3 -} - -/** - * 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=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended. - * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents. - */ - -/** - * 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 + "*" - } - - if (!('presence' in clause)) { - clause.presence = lunr.Query.presence.OPTIONAL - } - - this.clauses.push(clause) - - return this -} - -/** - * A negated query is one in which every clause has a presence of - * prohibited. These queries require some special processing to return - * the expected results. - * - * @returns boolean - */ -lunr.Query.prototype.isNegated = function () { - for (var i = 0; i < this.clauses.length; i++) { - if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) { - return false - } - } - - return true -} - -/** - * 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. - * - * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion - * to a token or token-like string should be done before calling this method. - * - * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an - * array, each term in the array will share the same options. - * - * @param {object|object[]} term - The term(s) 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 adding a single term to a query - * query.term("foo") - * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard - * query.term("foo", { - * fields: ["title"], - * boost: 10, - * wildcard: lunr.Query.wildcard.TRAILING - * }) - * @example using lunr.tokenizer to convert a string to tokens before using them as terms - * query.term(lunr.tokenizer("foo bar")) - */ -lunr.Query.prototype.term = function (term, options) { - if (Array.isArray(term)) { - term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this) - return this - } - - var clause = options || {} - clause.term = term.toString() - - 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.PRESENCE = 'PRESENCE' - -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 - } - - // "+" indicates term presence is required - // checking for length to ensure that only - // leading "+" are considered - if (char == "+" && lexer.width() === 1) { - lexer.emit(lunr.QueryLexer.PRESENCE) - return lunr.QueryLexer.lexText - } - - // "-" indicates term presence is prohibited - // checking for length to ensure that only - // leading "-" are considered - if (char == "-" && lexer.width() === 1) { - lexer.emit(lunr.QueryLexer.PRESENCE) - return lunr.QueryLexer.lexText - } - - 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.parseClause - - 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.parseClause = function (parser) { - var lexeme = parser.peekLexeme() - - if (lexeme == undefined) { - return - } - - switch (lexeme.type) { - case lunr.QueryLexer.PRESENCE: - return lunr.QueryParser.parsePresence - 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.parsePresence = function (parser) { - var lexeme = parser.consumeLexeme() - - if (lexeme == undefined) { - return - } - - switch (lexeme.str) { - case "-": - parser.currentClause.presence = lunr.Query.presence.PROHIBITED - break - case "+": - parser.currentClause.presence = lunr.Query.presence.REQUIRED - break - default: - var errorMessage = "unrecognised presence operator'" + lexeme.str + "'" - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } - - var nextLexeme = parser.peekLexeme() - - if (nextLexeme == undefined) { - var errorMessage = "expecting term or field, found nothing" - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } - - switch (nextLexeme.type) { - case lunr.QueryLexer.FIELD: - return lunr.QueryParser.parseField - case lunr.QueryLexer.TERM: - return lunr.QueryParser.parseTerm - default: - var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'" - throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.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 - case lunr.QueryLexer.PRESENCE: - parser.nextClause() - return lunr.QueryParser.parsePresence - 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 - case lunr.QueryLexer.PRESENCE: - parser.nextClause() - return lunr.QueryParser.parsePresence - 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 - case lunr.QueryLexer.PRESENCE: - parser.nextClause() - return lunr.QueryParser.parsePresence - 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 - })) -})(); diff --git a/public/js/posts.lunr.js b/public/js/posts.lunr.js deleted file mode 100644 index bea1216..0000000 --- a/public/js/posts.lunr.js +++ /dev/null @@ -1,23 +0,0 @@ -let documents = [{ - "name": "Lunr", - "text": "Like Solr, but much smaller, and not as bright." -}, { - "name": "React", - "text": "A JavaScript library for building user interfaces." -}, { - "name": "Lodash", - "text": "A modern JavaScript utility library delivering modularity, performance & extras." -}]; - -function search() { - let searchIndex = lunr(function() { - this.ref("name") - this.field("text") - - documents.forEach(function(doc) { - this.add(doc) - }, this) - }); - - return searchIndex.search("bright"); -} -- cgit v1.2.3