| var MyBundle = (function (exports) { |
| "use strict"; |
| |
| /** |
| * @license |
| * Copyright 2019 Google LLC |
| * SPDX-License-Identifier: Apache-2.0 |
| */ |
| const proxyMarker = Symbol("Comlink.proxy"); |
| const createEndpoint = Symbol("Comlink.endpoint"); |
| const releaseProxy = Symbol("Comlink.releaseProxy"); |
| const finalizer = Symbol("Comlink.finalizer"); |
| const throwMarker = Symbol("Comlink.thrown"); |
| const isObject = (val) => |
| (typeof val === "object" && val !== null) || typeof val === "function"; |
| /** |
| * Internal transfer handle to handle objects marked to proxy. |
| */ |
| const proxyTransferHandler = { |
| canHandle: (val) => isObject(val) && val[proxyMarker], |
| serialize(obj) { |
| const { port1, port2 } = new MessageChannel(); |
| expose(obj, port1); |
| return [port2, [port2]]; |
| }, |
| deserialize(port) { |
| port.start(); |
| return wrap(port); |
| }, |
| }; |
| /** |
| * Internal transfer handler to handle thrown exceptions. |
| */ |
| const throwTransferHandler = { |
| canHandle: (value) => isObject(value) && throwMarker in value, |
| serialize({ value }) { |
| let serialized; |
| if (value instanceof Error) { |
| serialized = { |
| isError: true, |
| value: { |
| message: value.message, |
| name: value.name, |
| stack: value.stack, |
| }, |
| }; |
| } else { |
| serialized = { isError: false, value }; |
| } |
| return [serialized, []]; |
| }, |
| deserialize(serialized) { |
| if (serialized.isError) { |
| throw Object.assign( |
| new Error(serialized.value.message), |
| serialized.value |
| ); |
| } |
| throw serialized.value; |
| }, |
| }; |
| /** |
| * Allows customizing the serialization of certain values. |
| */ |
| const transferHandlers = new Map([ |
| ["proxy", proxyTransferHandler], |
| ["throw", throwTransferHandler], |
| ]); |
| function isAllowedOrigin(allowedOrigins, origin) { |
| for (const allowedOrigin of allowedOrigins) { |
| if (origin === allowedOrigin || allowedOrigin === "*") { |
| return true; |
| } |
| if (allowedOrigin instanceof RegExp && allowedOrigin.test(origin)) { |
| return true; |
| } |
| } |
| return false; |
| } |
| function expose(obj, ep = globalThis, allowedOrigins = ["*"]) { |
| ep.addEventListener("message", function callback(ev) { |
| if (!ev || !ev.data) { |
| return; |
| } |
| if (!isAllowedOrigin(allowedOrigins, ev.origin)) { |
| console.warn(`Invalid origin '${ev.origin}' for comlink proxy`); |
| return; |
| } |
| const { id, type, path } = Object.assign({ path: [] }, ev.data); |
| const argumentList = (ev.data.argumentList || []).map(fromWireValue); |
| let returnValue; |
| try { |
| const parent = path.slice(0, -1).reduce((obj, prop) => obj[prop], obj); |
| const rawValue = path.reduce((obj, prop) => obj[prop], obj); |
| switch (type) { |
| case "GET" /* MessageType.GET */: |
| { |
| returnValue = rawValue; |
| } |
| break; |
| case "SET" /* MessageType.SET */: |
| { |
| parent[path.slice(-1)[0]] = fromWireValue(ev.data.value); |
| returnValue = true; |
| } |
| break; |
| case "APPLY" /* MessageType.APPLY */: |
| { |
| returnValue = rawValue.apply(parent, argumentList); |
| } |
| break; |
| case "CONSTRUCT" /* MessageType.CONSTRUCT */: |
| { |
| const value = new rawValue(...argumentList); |
| returnValue = proxy(value); |
| } |
| break; |
| case "ENDPOINT" /* MessageType.ENDPOINT */: |
| { |
| const { port1, port2 } = new MessageChannel(); |
| expose(obj, port2); |
| returnValue = transfer(port1, [port1]); |
| } |
| break; |
| case "RELEASE" /* MessageType.RELEASE */: |
| { |
| returnValue = undefined; |
| } |
| break; |
| default: |
| return; |
| } |
| } catch (value) { |
| returnValue = { value, [throwMarker]: 0 }; |
| } |
| Promise.resolve(returnValue) |
| .catch((value) => { |
| return { value, [throwMarker]: 0 }; |
| }) |
| .then((returnValue) => { |
| const [wireValue, transferables] = toWireValue(returnValue); |
| ep.postMessage( |
| Object.assign(Object.assign({}, wireValue), { id }), |
| transferables |
| ); |
| if (type === "RELEASE" /* MessageType.RELEASE */) { |
| // detach and deactive after sending release response above. |
| ep.removeEventListener("message", callback); |
| closeEndPoint(ep); |
| if (finalizer in obj && typeof obj[finalizer] === "function") { |
| obj[finalizer](); |
| } |
| } |
| }) |
| .catch((error) => { |
| // Send Serialization Error To Caller |
| const [wireValue, transferables] = toWireValue({ |
| value: new TypeError("Unserializable return value"), |
| [throwMarker]: 0, |
| }); |
| ep.postMessage( |
| Object.assign(Object.assign({}, wireValue), { id }), |
| transferables |
| ); |
| }); |
| }); |
| if (ep.start) { |
| ep.start(); |
| } |
| } |
| function isMessagePort(endpoint) { |
| return endpoint.constructor.name === "MessagePort"; |
| } |
| function closeEndPoint(endpoint) { |
| if (isMessagePort(endpoint)) endpoint.close(); |
| } |
| function wrap(ep, target) { |
| const pendingListeners = new Map(); |
| ep.addEventListener("message", function handleMessage(ev) { |
| const { data } = ev; |
| if (!data || !data.id) { |
| return; |
| } |
| const resolver = pendingListeners.get(data.id); |
| if (!resolver) { |
| return; |
| } |
| try { |
| resolver(data); |
| } finally { |
| pendingListeners.delete(data.id); |
| } |
| }); |
| return createProxy(ep, pendingListeners, [], target); |
| } |
| function throwIfProxyReleased(isReleased) { |
| if (isReleased) { |
| throw new Error("Proxy has been released and is not useable"); |
| } |
| } |
| function releaseEndpoint(ep) { |
| return requestResponseMessage(ep, new Map(), { |
| type: "RELEASE" /* MessageType.RELEASE */, |
| }).then(() => { |
| closeEndPoint(ep); |
| }); |
| } |
| const proxyCounter = new WeakMap(); |
| const proxyFinalizers = |
| "FinalizationRegistry" in globalThis && |
| new FinalizationRegistry((ep) => { |
| const newCount = (proxyCounter.get(ep) || 0) - 1; |
| proxyCounter.set(ep, newCount); |
| if (newCount === 0) { |
| releaseEndpoint(ep); |
| } |
| }); |
| function registerProxy(proxy, ep) { |
| const newCount = (proxyCounter.get(ep) || 0) + 1; |
| proxyCounter.set(ep, newCount); |
| if (proxyFinalizers) { |
| proxyFinalizers.register(proxy, ep, proxy); |
| } |
| } |
| function unregisterProxy(proxy) { |
| if (proxyFinalizers) { |
| proxyFinalizers.unregister(proxy); |
| } |
| } |
| function createProxy( |
| ep, |
| pendingListeners, |
| path = [], |
| target = function () {} |
| ) { |
| let isProxyReleased = false; |
| const proxy = new Proxy(target, { |
| get(_target, prop) { |
| throwIfProxyReleased(isProxyReleased); |
| if (prop === releaseProxy) { |
| return () => { |
| unregisterProxy(proxy); |
| releaseEndpoint(ep); |
| pendingListeners.clear(); |
| isProxyReleased = true; |
| }; |
| } |
| if (prop === "then") { |
| if (path.length === 0) { |
| return { then: () => proxy }; |
| } |
| const r = requestResponseMessage(ep, pendingListeners, { |
| type: "GET" /* MessageType.GET */, |
| path: path.map((p) => p.toString()), |
| }).then(fromWireValue); |
| return r.then.bind(r); |
| } |
| return createProxy(ep, pendingListeners, [...path, prop]); |
| }, |
| set(_target, prop, rawValue) { |
| throwIfProxyReleased(isProxyReleased); |
| // FIXME: ES6 Proxy Handler `set` methods are supposed to return a |
| // boolean. To show good will, we return true asynchronously ¯\_(ツ)_/¯ |
| const [value, transferables] = toWireValue(rawValue); |
| return requestResponseMessage( |
| ep, |
| pendingListeners, |
| { |
| type: "SET" /* MessageType.SET */, |
| path: [...path, prop].map((p) => p.toString()), |
| value, |
| }, |
| transferables |
| ).then(fromWireValue); |
| }, |
| apply(_target, _thisArg, rawArgumentList) { |
| throwIfProxyReleased(isProxyReleased); |
| const last = path[path.length - 1]; |
| if (last === createEndpoint) { |
| return requestResponseMessage(ep, pendingListeners, { |
| type: "ENDPOINT" /* MessageType.ENDPOINT */, |
| }).then(fromWireValue); |
| } |
| // We just pretend that `bind()` didn’t happen. |
| if (last === "bind") { |
| return createProxy(ep, pendingListeners, path.slice(0, -1)); |
| } |
| const [argumentList, transferables] = processArguments(rawArgumentList); |
| return requestResponseMessage( |
| ep, |
| pendingListeners, |
| { |
| type: "APPLY" /* MessageType.APPLY */, |
| path: path.map((p) => p.toString()), |
| argumentList, |
| }, |
| transferables |
| ).then(fromWireValue); |
| }, |
| construct(_target, rawArgumentList) { |
| throwIfProxyReleased(isProxyReleased); |
| const [argumentList, transferables] = processArguments(rawArgumentList); |
| return requestResponseMessage( |
| ep, |
| pendingListeners, |
| { |
| type: "CONSTRUCT" /* MessageType.CONSTRUCT */, |
| path: path.map((p) => p.toString()), |
| argumentList, |
| }, |
| transferables |
| ).then(fromWireValue); |
| }, |
| }); |
| registerProxy(proxy, ep); |
| return proxy; |
| } |
| function myFlat(arr) { |
| return Array.prototype.concat.apply([], arr); |
| } |
| function processArguments(argumentList) { |
| const processed = argumentList.map(toWireValue); |
| return [processed.map((v) => v[0]), myFlat(processed.map((v) => v[1]))]; |
| } |
| const transferCache = new WeakMap(); |
| function transfer(obj, transfers) { |
| transferCache.set(obj, transfers); |
| return obj; |
| } |
| function proxy(obj) { |
| return Object.assign(obj, { [proxyMarker]: true }); |
| } |
| function toWireValue(value) { |
| for (const [name, handler] of transferHandlers) { |
| if (handler.canHandle(value)) { |
| const [serializedValue, transferables] = handler.serialize(value); |
| return [ |
| { |
| type: "HANDLER" /* WireValueType.HANDLER */, |
| name, |
| value: serializedValue, |
| }, |
| transferables, |
| ]; |
| } |
| } |
| return [ |
| { |
| type: "RAW" /* WireValueType.RAW */, |
| value, |
| }, |
| transferCache.get(value) || [], |
| ]; |
| } |
| function fromWireValue(value) { |
| switch (value.type) { |
| case "HANDLER" /* WireValueType.HANDLER */: |
| return transferHandlers.get(value.name).deserialize(value.value); |
| case "RAW" /* WireValueType.RAW */: |
| return value.value; |
| } |
| } |
| function requestResponseMessage(ep, pendingListeners, msg, transfers) { |
| return new Promise((resolve) => { |
| const id = generateUUID(); |
| pendingListeners.set(id, resolve); |
| if (ep.start) { |
| ep.start(); |
| } |
| ep.postMessage(Object.assign({ id }, msg), transfers); |
| }); |
| } |
| function generateUUID() { |
| return new Array(4) |
| .fill(0) |
| .map(() => |
| Math.floor(Math.random() * Number.MAX_SAFE_INTEGER).toString(16) |
| ) |
| .join("-"); |
| } |
| |
| function getDefaultExportFromCjs(x) { |
| return x && |
| x.__esModule && |
| Object.prototype.hasOwnProperty.call(x, "default") |
| ? x["default"] |
| : x; |
| } |
| |
| var lunr$1 = { exports: {} }; |
| |
| /** |
| * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9 |
| * Copyright (C) 2020 Oliver Nightingale |
| * @license MIT |
| */ |
| lunr$1.exports; |
| |
| var hasRequiredLunr; |
| |
| function requireLunr() { |
| if (hasRequiredLunr) return lunr$1.exports; |
| hasRequiredLunr = 1; |
| (function (module, exports) { |
| (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 = "2.3.9"; |
| /*! |
| * lunr.utils |
| * Copyright (C) 2020 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) { |
| 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) 2020 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 () { |
| return this; |
| }, |
| |
| 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) 2020 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().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) 2020 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, undefined or an empty string. 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 === null || 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) 2020 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) 2020 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) 2020 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) 2020 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) 2020 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. |
| * |
| * This is not intended to be used on a TokenSet that |
| * contains wildcards, in these cases the results are |
| * undefined and are likely to cause an infinite loop. |
| * |
| * @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) 2020 Oliver Nightingale |
| */ |
| |
| /** |
| * An index contains the built index of all documents and provides a query interface |
| * to the index. |
| * |
| * Usually instances of lunr.Index will not be created using this constructor, instead |
| * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be |
| * used to load previously built and serialized indexes. |
| * |
| * @constructor |
| * @param {Object} attrs - The attributes of the built search index. |
| * @param {Object} attrs.invertedIndex - An index of term/field to document reference. |
| * @param {Object<string, lunr.Vector>} attrs.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 <caption>Simple single term query</caption> |
| * hello |
| * @example <caption>Multiple term query</caption> |
| * hello world |
| * @example <caption>term scoped to a field</caption> |
| * title:hello |
| * @example <caption>term with a boost of 10</caption> |
| * hello^10 |
| * @example <caption>term with an edit distance of 2</caption> |
| * hello~2 |
| * @example <caption>terms with presence modifiers</caption> |
| * -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.empty; |
| |
| 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) 2020 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 <caption>Extracting a nested field</caption> |
| * 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 <caption>query term with trailing wildcard</caption> |
| * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING }) |
| * @example <caption>query term with leading and trailing wildcard</caption> |
| * query.term('foo', { |
| * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING |
| * }) |
| */ |
| |
| lunr.Query.wildcard = new String("*"); |
| lunr.Query.wildcard.NONE = 0; |
| lunr.Query.wildcard.LEADING = 1; |
| lunr.Query.wildcard.TRAILING = 2; |
| |
| /** |
| * 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 <caption>query term with required presence</caption> |
| * 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 <caption>adding a single term to a query</caption> |
| * query.term("foo") |
| * @example <caption>adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard</caption> |
| * query.term("foo", { |
| * fields: ["title"], |
| * boost: 10, |
| * wildcard: lunr.Query.wildcard.TRAILING |
| * }) |
| * @example <caption>using lunr.tokenizer to convert a string to tokens before using them as terms</caption> |
| * 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) { |
| { |
| /** |
| * Node. Does not work with strict CommonJS, but |
| * only CommonJS-like enviroments that support module.exports, |
| * like Node. |
| */ |
| module.exports = 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; |
| }); |
| })(); |
| })(lunr$1, lunr$1.exports); |
| return lunr$1.exports; |
| } |
| |
| var lunrExports = requireLunr(); |
| var lunr = /*@__PURE__*/ getDefaultExportFromCjs(lunrExports); |
| |
| const language = ["en", "zh"]; |
| const searchIndexUrl = "search-index{dir}.json?_=93562eb5"; |
| const searchResultLimits = 100; |
| |
| /** |
| * Split a sentence to tokens, considering a sequence of consecutive Chinese words as a single token. |
| * |
| * @param text - Text to be tokenized. |
| * @param language - Languages used. |
| * |
| * @returns Tokens. |
| */ |
| function tokenize(text, language) { |
| // Some languages have their own tokenizer. |
| if (language.length === 1 && ["ja", "jp", "th"].includes(language[0])) { |
| return lunr[language[0]].tokenizer(text).map((token) => token.toString()); |
| } |
| let regExpMatchWords = /[^-\s]+/g; |
| // Especially optimization for `zh`. |
| if (language.includes("zh")) { |
| // Currently only works fine with letters in Latin alphabet and Chinese. |
| // https://zhuanlan.zhihu.com/p/33335629 |
| regExpMatchWords = /\w+|\p{Unified_Ideograph}+/gu; |
| // regExpMatchWords = /\p{Unified_Ideograph}+|[^-\s\p{Unified_Ideograph}]+/gu; |
| // https://mothereff.in/regexpu#input=const+regex+%3D+/%5Cp%7BUnified_Ideograph%7D/u%3B&unicodePropertyEscape=1 |
| // regExpMatchWords = /\w+|[\u3400-\u4DBF\u4E00-\u9FFC\uFA0E\uFA0F\uFA11\uFA13\uFA14\uFA1F\uFA21\uFA23\uFA24\uFA27-\uFA29\u{20000}-\u{2A6DD}\u{2A700}-\u{2B734}\u{2B740}-\u{2B81D}\u{2B820}-\u{2CEA1}\u{2CEB0}-\u{2EBE0}\u{30000}-\u{3134A}]+/gu |
| } |
| return text.toLowerCase().match(regExpMatchWords) || []; |
| } |
| |
| /** |
| * Get all possible terms for a string of consecutive Chinese words, |
| * by a words dictionary. |
| * |
| * @remarks |
| * |
| * Terms are sorted in ascending order by the count of words. |
| * |
| * @param token - A string of consecutive Chinese words. |
| * @param zhDictionary - A Chinese words dictionary. |
| * |
| * @returns A smart term list. |
| */ |
| function cutZhWords(token, zhDictionary) { |
| const wrappedTerms = []; |
| function cut(subToken, carry) { |
| let matchedLastIndex = 0; |
| let matched = false; |
| for (const words of zhDictionary) { |
| if (subToken.substr(0, words.length) === words) { |
| const nextCarry = { |
| missed: carry.missed, |
| term: carry.term.concat({ |
| value: words, |
| }), |
| }; |
| if (subToken.length > words.length) { |
| cut(subToken.substr(words.length), nextCarry); |
| } else { |
| wrappedTerms.push(nextCarry); |
| } |
| matched = true; |
| } else { |
| for ( |
| let lastIndex = words.length - 1; |
| lastIndex > matchedLastIndex; |
| lastIndex -= 1 |
| ) { |
| const subWords = words.substr(0, lastIndex); |
| if (subToken.substr(0, lastIndex) === subWords) { |
| matchedLastIndex = lastIndex; |
| const nextCarry = { |
| missed: carry.missed, |
| term: carry.term.concat({ |
| value: subWords, |
| trailing: true, |
| }), |
| }; |
| if (subToken.length > lastIndex) { |
| cut(subToken.substr(lastIndex), nextCarry); |
| } else { |
| wrappedTerms.push(nextCarry); |
| } |
| matched = true; |
| break; |
| } |
| } |
| } |
| } |
| if (!matched) { |
| if (subToken.length > 0) { |
| cut(subToken.substr(1), { |
| missed: carry.missed + 1, |
| term: carry.term, |
| }); |
| } else if (carry.term.length > 0) { |
| wrappedTerms.push(carry); |
| } |
| } |
| } |
| cut(token, { |
| missed: 0, |
| term: [], |
| }); |
| return wrappedTerms |
| .sort((a, b) => { |
| const aMissed = a.missed > 0 ? 1 : 0; |
| const bMissed = b.missed > 0 ? 1 : 0; |
| if (aMissed !== bMissed) { |
| // Put all no-words-missed terms before words-missed terms. |
| return aMissed - bMissed; |
| } |
| // Put terms with less words before those with more words. |
| return a.term.length - b.term.length; |
| }) |
| .map((item) => item.term); |
| } |
| |
| // `lunr-languages/lunr.stemmer.support` is required. |
| function generateTrimmer(wordCharacters) { |
| const startRegex = new RegExp("^[^" + wordCharacters + "]+", "u"); |
| const endRegex = new RegExp("[^" + wordCharacters + "]+$", "u"); |
| return function (token) { |
| return token.update(function (str) { |
| return str.replace(startRegex, "").replace(endRegex, ""); |
| }); |
| }; |
| } |
| |
| function lunrLanguageZh(lunr, tokenizer) { |
| (function (root, factory) { |
| factory()(lunr); |
| })(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 function (lunr) { |
| /* provides utilities for the included stemmers */ |
| lunr.stemmerSupport = { |
| Among: function (s, substring_i, result, method) { |
| this.toCharArray = function (s) { |
| var sLength = s.length, |
| charArr = new Array(sLength); |
| for (var i = 0; i < sLength; i++) charArr[i] = s.charCodeAt(i); |
| return charArr; |
| }; |
| |
| if ( |
| (!s && s != "") || |
| (!substring_i && substring_i != 0) || |
| !result |
| ) |
| throw ( |
| "Bad Among initialisation: s:" + |
| s + |
| ", substring_i: " + |
| substring_i + |
| ", result: " + |
| result |
| ); |
| this.s_size = s.length; |
| this.s = this.toCharArray(s); |
| this.substring_i = substring_i; |
| this.result = result; |
| this.method = method; |
| }, |
| SnowballProgram: function () { |
| var current; |
| return { |
| bra: 0, |
| ket: 0, |
| limit: 0, |
| cursor: 0, |
| limit_backward: 0, |
| setCurrent: function (word) { |
| current = word; |
| this.cursor = 0; |
| this.limit = word.length; |
| this.limit_backward = 0; |
| this.bra = this.cursor; |
| this.ket = this.limit; |
| }, |
| getCurrent: function () { |
| var result = current; |
| current = null; |
| return result; |
| }, |
| in_grouping: function (s, min, max) { |
| if (this.cursor < this.limit) { |
| var ch = current.charCodeAt(this.cursor); |
| if (ch <= max && ch >= min) { |
| ch -= min; |
| if (s[ch >> 3] & (0x1 << (ch & 0x7))) { |
| this.cursor++; |
| return true; |
| } |
| } |
| } |
| return false; |
| }, |
| in_grouping_b: function (s, min, max) { |
| if (this.cursor > this.limit_backward) { |
| var ch = current.charCodeAt(this.cursor - 1); |
| if (ch <= max && ch >= min) { |
| ch -= min; |
| if (s[ch >> 3] & (0x1 << (ch & 0x7))) { |
| this.cursor--; |
| return true; |
| } |
| } |
| } |
| return false; |
| }, |
| out_grouping: function (s, min, max) { |
| if (this.cursor < this.limit) { |
| var ch = current.charCodeAt(this.cursor); |
| if (ch > max || ch < min) { |
| this.cursor++; |
| return true; |
| } |
| ch -= min; |
| if (!(s[ch >> 3] & (0x1 << (ch & 0x7)))) { |
| this.cursor++; |
| return true; |
| } |
| } |
| return false; |
| }, |
| out_grouping_b: function (s, min, max) { |
| if (this.cursor > this.limit_backward) { |
| var ch = current.charCodeAt(this.cursor - 1); |
| if (ch > max || ch < min) { |
| this.cursor--; |
| return true; |
| } |
| ch -= min; |
| if (!(s[ch >> 3] & (0x1 << (ch & 0x7)))) { |
| this.cursor--; |
| return true; |
| } |
| } |
| return false; |
| }, |
| eq_s: function (s_size, s) { |
| if (this.limit - this.cursor < s_size) return false; |
| for (var i = 0; i < s_size; i++) |
| if (current.charCodeAt(this.cursor + i) != s.charCodeAt(i)) |
| return false; |
| this.cursor += s_size; |
| return true; |
| }, |
| eq_s_b: function (s_size, s) { |
| if (this.cursor - this.limit_backward < s_size) return false; |
| for (var i = 0; i < s_size; i++) |
| if ( |
| current.charCodeAt(this.cursor - s_size + i) != |
| s.charCodeAt(i) |
| ) |
| return false; |
| this.cursor -= s_size; |
| return true; |
| }, |
| find_among: function (v, v_size) { |
| var i = 0, |
| j = v_size, |
| c = this.cursor, |
| l = this.limit, |
| common_i = 0, |
| common_j = 0, |
| first_key_inspected = false; |
| while (true) { |
| var k = i + ((j - i) >> 1), |
| diff = 0, |
| common = common_i < common_j ? common_i : common_j, |
| w = v[k]; |
| for (var i2 = common; i2 < w.s_size; i2++) { |
| if (c + common == l) { |
| diff = -1; |
| break; |
| } |
| diff = current.charCodeAt(c + common) - w.s[i2]; |
| if (diff) break; |
| common++; |
| } |
| if (diff < 0) { |
| j = k; |
| common_j = common; |
| } else { |
| i = k; |
| common_i = common; |
| } |
| if (j - i <= 1) { |
| if (i > 0 || j == i || first_key_inspected) break; |
| first_key_inspected = true; |
| } |
| } |
| while (true) { |
| var w = v[i]; |
| if (common_i >= w.s_size) { |
| this.cursor = c + w.s_size; |
| if (!w.method) return w.result; |
| var res = w.method(); |
| this.cursor = c + w.s_size; |
| if (res) return w.result; |
| } |
| i = w.substring_i; |
| if (i < 0) return 0; |
| } |
| }, |
| find_among_b: function (v, v_size) { |
| var i = 0, |
| j = v_size, |
| c = this.cursor, |
| lb = this.limit_backward, |
| common_i = 0, |
| common_j = 0, |
| first_key_inspected = false; |
| while (true) { |
| var k = i + ((j - i) >> 1), |
| diff = 0, |
| common = common_i < common_j ? common_i : common_j, |
| w = v[k]; |
| for (var i2 = w.s_size - 1 - common; i2 >= 0; i2--) { |
| if (c - common == lb) { |
| diff = -1; |
| break; |
| } |
| diff = current.charCodeAt(c - 1 - common) - w.s[i2]; |
| if (diff) break; |
| common++; |
| } |
| if (diff < 0) { |
| j = k; |
| common_j = common; |
| } else { |
| i = k; |
| common_i = common; |
| } |
| if (j - i <= 1) { |
| if (i > 0 || j == i || first_key_inspected) break; |
| first_key_inspected = true; |
| } |
| } |
| while (true) { |
| var w = v[i]; |
| if (common_i >= w.s_size) { |
| this.cursor = c - w.s_size; |
| if (!w.method) return w.result; |
| var res = w.method(); |
| this.cursor = c - w.s_size; |
| if (res) return w.result; |
| } |
| i = w.substring_i; |
| if (i < 0) return 0; |
| } |
| }, |
| replace_s: function (c_bra, c_ket, s) { |
| var adjustment = s.length - (c_ket - c_bra), |
| left = current.substring(0, c_bra), |
| right = current.substring(c_ket); |
| current = left + s + right; |
| this.limit += adjustment; |
| if (this.cursor >= c_ket) this.cursor += adjustment; |
| else if (this.cursor > c_bra) this.cursor = c_bra; |
| return adjustment; |
| }, |
| slice_check: function () { |
| if ( |
| this.bra < 0 || |
| this.bra > this.ket || |
| this.ket > this.limit || |
| this.limit > current.length |
| ) |
| throw "faulty slice operation"; |
| }, |
| slice_from: function (s) { |
| this.slice_check(); |
| this.replace_s(this.bra, this.ket, s); |
| }, |
| slice_del: function () { |
| this.slice_from(""); |
| }, |
| insert: function (c_bra, c_ket, s) { |
| var adjustment = this.replace_s(c_bra, c_ket, s); |
| if (c_bra <= this.bra) this.bra += adjustment; |
| if (c_bra <= this.ket) this.ket += adjustment; |
| }, |
| slice_to: function () { |
| this.slice_check(); |
| return current.substring(this.bra, this.ket); |
| }, |
| eq_v_b: function (s) { |
| return this.eq_s_b(s.length, s); |
| }, |
| }; |
| }, |
| }; |
| |
| lunr.trimmerSupport = { |
| generateTrimmer: function (wordCharacters) { |
| var startRegex = new RegExp("^[^" + wordCharacters + "]+"); |
| var endRegex = new RegExp("[^" + wordCharacters + "]+$"); |
| |
| return function (token) { |
| // for lunr version 2 |
| if (typeof token.update === "function") { |
| return token.update(function (s) { |
| return s.replace(startRegex, "").replace(endRegex, ""); |
| }); |
| } else { |
| // for lunr version 1 |
| return token.replace(startRegex, "").replace(endRegex, ""); |
| } |
| }; |
| }, |
| }; |
| }; |
| }); |
| /** |
| * 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) { |
| factory()(lunr); |
| })(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 function (lunr) { |
| /* Set up the pipeline for indexing content in multiple languages. The |
| corresponding lunr.{lang} files must be loaded before calling this |
| function; English ('en') is built in. |
| |
| Returns: a lunr plugin for use in your indexer. |
| |
| Known drawback: every word will be stemmed with stemmers for every |
| language. This could mean that sometimes words that have the same |
| stemming root will not be stemmed as such. |
| */ |
| lunr.multiLanguage = function (/* lang1, lang2, ... */) { |
| var languages = Array.prototype.slice.call(arguments); |
| var nameSuffix = languages.join("-"); |
| var wordCharacters = ""; |
| var pipeline = []; |
| var searchPipeline = []; |
| for (var i = 0; i < languages.length; ++i) { |
| if (languages[i] == "en") { |
| wordCharacters += "\\w"; |
| pipeline.unshift(lunr.stopWordFilter); |
| pipeline.push(lunr.stemmer); |
| searchPipeline.push(lunr.stemmer); |
| } else { |
| wordCharacters += lunr[languages[i]].wordCharacters; |
| if (lunr[languages[i]].stopWordFilter) { |
| pipeline.unshift(lunr[languages[i]].stopWordFilter); |
| } |
| if (lunr[languages[i]].stemmer) { |
| pipeline.push(lunr[languages[i]].stemmer); |
| searchPipeline.push(lunr[languages[i]].stemmer); |
| } |
| } |
| } |
| var multiTrimmer = |
| lunr.trimmerSupport.generateTrimmer(wordCharacters); |
| lunr.Pipeline.registerFunction( |
| multiTrimmer, |
| "lunr-multi-trimmer-" + nameSuffix |
| ); |
| pipeline.unshift(multiTrimmer); |
| |
| return function () { |
| this.pipeline.reset(); |
| |
| this.pipeline.add.apply(this.pipeline, pipeline); |
| |
| // for lunr version 2 |
| // this is necessary so that every searched word is also stemmed before |
| // in lunr <= 1 this is not needed, as it is done using the normal pipeline |
| if (this.searchPipeline) { |
| this.searchPipeline.reset(); |
| this.searchPipeline.add.apply( |
| this.searchPipeline, |
| searchPipeline |
| ); |
| } |
| }; |
| }; |
| }; |
| }); |
| |
| lunr.trimmerSupport.generateTrimmer = generateTrimmer; |
| lunr.zh = function () { |
| this.pipeline.reset(); |
| this.pipeline.add(lunr.zh.trimmer, lunr.zh.stopWordFilter); |
| if (tokenizer) { |
| this.tokenizer = tokenizer; |
| } |
| }; |
| if (tokenizer) { |
| lunr.zh.tokenizer = tokenizer; |
| } |
| // https://zhuanlan.zhihu.com/p/33335629 |
| // https://mothereff.in/regexpu#input=const+regex+%3D+/%5Cp%7BUnified_Ideograph%7D/u%3B&unicodePropertyEscape=1 |
| lunr.zh.wordCharacters = |
| "\\u3400-\\u4DBF\\u4E00-\\u9FFC\\uFA0E\\uFA0F\\uFA11\\uFA13\\uFA14\\uFA1F\\uFA21\\uFA23\\uFA24\\uFA27-\\uFA29\\u{20000}-\\u{2A6DD}\\u{2A700}-\\u{2B734}\\u{2B740}-\\u{2B81D}\\u{2B820}-\\u{2CEA1}\\u{2CEB0}-\\u{2EBE0}\\u{30000}-\\u{3134A}"; |
| lunr.zh.trimmer = lunr.trimmerSupport.generateTrimmer( |
| lunr.zh.wordCharacters |
| ); |
| lunr.Pipeline.registerFunction(lunr.zh.trimmer, "trimmer-zh"); |
| /* lunr stop word filter. see https://www.ranks.nl/stopwords/chinese-stopwords */ |
| lunr.zh.stopWordFilter = lunr.generateStopWordFilter( |
| "的 一 不 在 人 有 是 为 以 于 上 他 而 后 之 来 及 了 因 下 可 到 由 这 与 也 此 但 并 个 其 已 无 小 我 们 起 最 再 今 去 好 只 又 或 很 亦 某 把 那 你 乃 它 吧 被 比 别 趁 当 从 到 得 打 凡 儿 尔 该 各 给 跟 和 何 还 即 几 既 看 据 距 靠 啦 了 另 么 每 们 嘛 拿 哪 那 您 凭 且 却 让 仍 啥 如 若 使 谁 虽 随 同 所 她 哇 嗡 往 哪 些 向 沿 哟 用 于 咱 则 怎 曾 至 致 着 诸 自".split( |
| " " |
| ) |
| ); |
| lunr.Pipeline.registerFunction(lunr.zh.stopWordFilter, "stopWordFilter-zh"); |
| } |
| |
| const MAX_TERMS = 12; |
| const HALF_MAX_TERMS = MAX_TERMS / 2; |
| /** |
| * Get all possible terms for a list of tokens consists of words mixed in Chinese and non-Chinese, |
| * by a Chinese words dictionary. |
| * |
| * @param tokens - Tokens consists of English words or strings of consecutive Chinese words. |
| * @param zhDictionary - A Chinese words dictionary. |
| * |
| * @returns A smart term list. |
| */ |
| function smartTerms(tokens, zhDictionary) { |
| const tokenTerms = tokens |
| .map((token) => { |
| if (/\p{Unified_Ideograph}/u.test(token)) { |
| return cutZhWords(token, zhDictionary); |
| } else { |
| return [{ value: token }]; |
| } |
| }) |
| .slice(0, MAX_TERMS); |
| const tokenTermsThatAreMultiple = tokenTerms.filter( |
| (tokenTerm) => tokenTerm.length > 1 |
| ); |
| let termsProduct = 1; |
| let overflowed = false; |
| for (const tokenTerm of tokenTermsThatAreMultiple) { |
| if (overflowed) { |
| tokenTerm.splice(1, tokenTerm.length - 1); |
| } else { |
| if (tokenTerm.length > HALF_MAX_TERMS) { |
| tokenTerm.splice(HALF_MAX_TERMS, tokenTerm.length - HALF_MAX_TERMS); |
| } |
| const product = termsProduct * tokenTerm.length; |
| if (product >= MAX_TERMS) { |
| if (product > MAX_TERMS) { |
| const max = Math.floor(MAX_TERMS / termsProduct); |
| tokenTerm.splice(max, tokenTerm.length - max); |
| termsProduct = max * termsProduct; |
| } else { |
| termsProduct = product; |
| } |
| if (termsProduct > HALF_MAX_TERMS) { |
| overflowed = true; |
| } |
| } else { |
| termsProduct = product; |
| } |
| } |
| } |
| // Get all possible combinations of terms. |
| const terms = []; |
| function combine(index, carry) { |
| if (index === tokenTerms.length || carry.length >= MAX_TERMS) { |
| terms.push(carry.slice(0, MAX_TERMS)); |
| return; |
| } |
| for (const term of tokenTerms[index]) { |
| combine(index + 1, carry.concat(term)); |
| } |
| } |
| combine(0, []); |
| return terms; |
| } |
| |
| /** |
| * Get all possible queries for a list of tokens consists of words mixed English and Chinese, |
| * by a Chinese words dictionary. |
| * |
| * @param tokens - Tokens consists of English words or strings of consecutive Chinese words. |
| * @param zhDictionary - A Chinese words dictionary. |
| * |
| * @returns A smart query list. |
| */ |
| function smartQueries(tokens, zhDictionary) { |
| const terms = smartTerms(tokens, zhDictionary); |
| if (terms.length === 0) { |
| // There are no matched terms. |
| // All tokens are considered required and with wildcard. |
| return [ |
| { |
| tokens, |
| term: tokens.map((value) => ({ |
| value, |
| presence: lunr.Query.presence.REQUIRED, |
| wildcard: |
| lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING, |
| })), |
| }, |
| ]; |
| } |
| // The last token of a term maybe incomplete while user is typing. |
| for (const term of terms) { |
| term[term.length - 1].maybeTyping = true; |
| } |
| |
| lunrLanguageZh(lunr); |
| // Try to append terms without stop words, |
| // since they are removed in the index. |
| const stopWordPipelines = []; |
| for (const lang of language) { |
| if (lang === "en") { |
| { |
| stopWordPipelines.unshift(lunr.stopWordFilter); |
| } |
| } else { |
| const lunrLang = lunr[lang]; |
| if (lunrLang.stopWordFilter) { |
| stopWordPipelines.unshift(lunrLang.stopWordFilter); |
| } |
| } |
| } |
| let refinedTerms; |
| if (stopWordPipelines.length > 0) { |
| const pipe = (term) => |
| stopWordPipelines.reduce( |
| (term, p) => term.filter((item) => p(item.value)), |
| term |
| ); |
| refinedTerms = []; |
| const newTerms = []; |
| for (const term of terms) { |
| const filteredTerm = pipe(term); |
| refinedTerms.push(filteredTerm); |
| // Add extra terms only if some stop words are removed, |
| // and some non-stop-words exist too. |
| if (filteredTerm.length < term.length && filteredTerm.length > 0) { |
| newTerms.push(filteredTerm); |
| } |
| } |
| terms.push(...newTerms); |
| } else { |
| refinedTerms = terms.slice(); |
| } |
| // Also try to add extra terms which miss one of the searched tokens, |
| // when the term contains 3 or more tokens, |
| // to improve the search precision. |
| const extraTerms = []; |
| for (const term of refinedTerms) { |
| if (term.length > 2) { |
| for (let i = term.length - 1; i >= 0; i -= 1) { |
| extraTerms.push(term.slice(0, i).concat(term.slice(i + 1))); |
| } |
| } |
| } |
| return getQueriesMaybeTyping(terms).concat( |
| getQueriesMaybeTyping(extraTerms) |
| ); |
| } |
| function getQueriesMaybeTyping(terms) { |
| return termsToQueries(terms).concat( |
| termsToQueries( |
| // Ignore terms whose last token already has a trailing wildcard, |
| // or the last token is not `maybeTyping`. |
| terms.filter((term) => { |
| const token = term[term.length - 1]; |
| return !token.trailing && token.maybeTyping; |
| }), |
| true |
| ) |
| ); |
| } |
| function termsToQueries(terms, maybeTyping) { |
| return terms.map((term) => ({ |
| tokens: term.map((item) => item.value), |
| term: term.map((item) => ({ |
| value: item.value, |
| presence: lunr.Query.presence.REQUIRED, |
| // The last token of a term maybe incomplete while user is typing. |
| // So append more queries with trailing wildcard added. |
| wildcard: ( |
| maybeTyping ? item.trailing || item.maybeTyping : item.trailing |
| ) |
| ? lunr.Query.wildcard.TRAILING |
| : lunr.Query.wildcard.NONE, |
| })), |
| })); |
| } |
| |
| var SearchDocumentType; |
| (function (SearchDocumentType) { |
| SearchDocumentType[(SearchDocumentType["Title"] = 0)] = "Title"; |
| SearchDocumentType[(SearchDocumentType["Heading"] = 1)] = "Heading"; |
| SearchDocumentType[(SearchDocumentType["Description"] = 2)] = "Description"; |
| SearchDocumentType[(SearchDocumentType["Keywords"] = 3)] = "Keywords"; |
| SearchDocumentType[(SearchDocumentType["Content"] = 4)] = "Content"; |
| })(SearchDocumentType || (SearchDocumentType = {})); |
| |
| function sortSearchResults(results) { |
| results.forEach((item, index) => { |
| item.index = index; |
| }); |
| // Put search results of headings/contents/descriptions just after |
| // their belonged page's title, if existed. |
| results.sort((a, b) => { |
| let aPageIndex = |
| (a.type === SearchDocumentType.Heading || |
| a.type === SearchDocumentType.Content || |
| a.type === SearchDocumentType.Description) && |
| a.page |
| ? results.findIndex((item) => item.document === a.page) |
| : a.index; |
| let bPageIndex = |
| (b.type === SearchDocumentType.Heading || |
| b.type === SearchDocumentType.Content || |
| b.type === SearchDocumentType.Description) && |
| b.page |
| ? results.findIndex((item) => item.document === b.page) |
| : b.index; |
| if (aPageIndex === -1) { |
| aPageIndex = a.index; |
| } |
| if (bPageIndex === -1) { |
| bPageIndex = b.index; |
| } |
| if (aPageIndex === bPageIndex) { |
| const diff = (b.type === 0 ? 1 : 0) - (a.type === 0 ? 1 : 0); |
| return diff === 0 ? a.index - b.index : diff; |
| } |
| return aPageIndex - bPageIndex; |
| }); |
| } |
| |
| function processTreeStatusOfSearchResults(results) { |
| results.forEach((item, i) => { |
| if ( |
| i > 0 && |
| item.page && |
| results |
| .slice(0, i) |
| .some( |
| (prev) => |
| (prev.type === SearchDocumentType.Keywords |
| ? prev.page |
| : prev.document) === item.page |
| ) |
| ) { |
| if (i < results.length - 1 && results[i + 1].page === item.page) { |
| item.isInterOfTree = true; |
| } else { |
| item.isLastOfTree = true; |
| } |
| } |
| }); |
| } |
| |
| const cache = new Map(); |
| class SearchWorker { |
| async fetchIndexes(baseUrl, searchContext) { |
| await this.lowLevelFetchIndexes(baseUrl, searchContext); |
| } |
| async lowLevelFetchIndexes(baseUrl, searchContext) { |
| const cacheKey = `${baseUrl}${searchContext}`; |
| let promise = cache.get(cacheKey); |
| if (!promise) { |
| promise = legacyFetchIndexes(baseUrl, searchContext); |
| cache.set(cacheKey, promise); |
| } |
| return promise; |
| } |
| async search(baseUrl, searchContext, input) { |
| const rawTokens = tokenize(input, language); |
| if (rawTokens.length === 0) { |
| return []; |
| } |
| const { wrappedIndexes, zhDictionary } = await this.lowLevelFetchIndexes( |
| baseUrl, |
| searchContext |
| ); |
| const queries = smartQueries(rawTokens, zhDictionary); |
| const results = []; |
| search: for (const { term, tokens } of queries) { |
| for (const { documents, index, type } of wrappedIndexes) { |
| results.push( |
| ...index |
| .query((query) => { |
| for (const item of term) { |
| query.term(item.value, { |
| wildcard: item.wildcard, |
| presence: item.presence, |
| }); |
| } |
| }) |
| .slice(0, searchResultLimits) |
| // Remove duplicated results. |
| .filter( |
| (result) => |
| !results.some( |
| (item) => item.document.i.toString() === result.ref |
| ) |
| ) |
| .slice(0, searchResultLimits - results.length) |
| .map((result) => { |
| const document = documents.find( |
| (doc) => doc.i.toString() === result.ref |
| ); |
| return { |
| document, |
| type, |
| page: |
| type !== SearchDocumentType.Title && |
| wrappedIndexes[0].documents.find( |
| (doc) => doc.i === document.p |
| ), |
| metadata: result.matchData.metadata, |
| tokens, |
| score: result.score, |
| }; |
| }) |
| ); |
| if (results.length >= searchResultLimits) { |
| break search; |
| } |
| } |
| } |
| sortSearchResults(results); |
| processTreeStatusOfSearchResults(results); |
| return results; |
| } |
| } |
| async function legacyFetchIndexes(baseUrl, searchContext) { |
| const url = `${baseUrl}${searchIndexUrl.replace( |
| "{dir}", |
| searchContext ? `-${searchContext.replace(/\//g, "-")}` : "" |
| )}`; |
| // Catch potential attacks. |
| const fullUrl = new URL(url, "https://cdnd.selectdb.com"); |
| // if (fullUrl.origin !== location.origin) { |
| // throw new Error("Unexpected version url"); |
| // } |
| const json = await (await fetch(fullUrl)).json(); |
| const wrappedIndexes = json.map(({ documents, index }, type) => ({ |
| type: type, |
| documents, |
| index: lunr.Index.load(index), |
| })); |
| const zhDictionary = json.reduce((acc, item) => { |
| for (const tuple of item.index.invertedIndex) { |
| if (/\p{Unified_Ideograph}/u.test(tuple[0][0])) { |
| acc.add(tuple[0]); |
| } |
| } |
| return acc; |
| }, new Set()); |
| return { |
| wrappedIndexes, |
| zhDictionary: Array.from(zhDictionary), |
| }; |
| } |
| expose(SearchWorker); |
| |
| exports.SearchWorker = SearchWorker; |
| |
| Object.defineProperty(exports, "__esModule", { value: true }); |
| |
| return exports; |
| })({}); |