From 9863edf10801b54e08a5db7bc2439015d7b786c4 Mon Sep 17 00:00:00 2001 From: Sven Petersen Date: Wed, 24 Nov 2021 22:38:19 +0100 Subject: [PATCH 01/12] refactor: temporarily commented out bundle upload --- sven-antora-playbook.yml | 48 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) create mode 100644 sven-antora-playbook.yml diff --git a/sven-antora-playbook.yml b/sven-antora-playbook.yml new file mode 100644 index 000000000..1401dcb50 --- /dev/null +++ b/sven-antora-playbook.yml @@ -0,0 +1,48 @@ +site: + title: Stackable Documentation + url: https://docs.stackable.tech + start_page: home::index.adoc + robots: allow + +content: + sources: + - url: https://github.com/stackabletech/agent.git + branches: main + start_path: docs + - url: https://github.com/stackabletech/documentation.git + branches: main + - url: https://github.com/stackabletech/kafka-operator.git + branches: main + start_path: docs + - url: https://github.com/stackabletech/monitoring-operator.git + branches: main + start_path: docs + - url: https://github.com/stackabletech/nifi-operator.git + branches: main + start_path: docs + - url: https://github.com/stackabletech/opa-operator.git + branches: main + start_path: docs + - url: https://github.com/stackabletech/regorule-operator.git + branches: main + start_path: docs + - url: https://github.com/stackabletech/spark-operator.git + branches: main + start_path: docs + - url: https://github.com/stackabletech/zookeeper-operator.git + branches: main + start_path: docs + +ui: + bundle: + url: ../stackable-documentation-ui/build/ui-bundle.zip + snapshot: true + supplemental_files: + - path: ui.yml + contents: | + static_files: [ .nojekyll ] + - path: .nojekyll + +asciidoc: + attributes: + base-repo: https://github.com/stackabletech From c35037fefc6931f3699f40e9091fc6eb90d500e5 Mon Sep 17 00:00:00 2001 From: Sven Petersen Date: Thu, 10 Feb 2022 19:15:18 +0100 Subject: [PATCH 02/12] Lunr search integration --- generate_site.sh | 3 + supplemental_ui/js/vendor/lunr.js | 3475 +++++++++++++++++++ supplemental_ui/js/vendor/search.js | 215 ++ supplemental_ui/partials/footer-scripts.hbs | 7 + supplemental_ui/partials/head-meta.hbs | 1 + sven-antora-playbook.yml | 13 +- 6 files changed, 3708 insertions(+), 6 deletions(-) create mode 100755 generate_site.sh create mode 100644 supplemental_ui/js/vendor/lunr.js create mode 100644 supplemental_ui/js/vendor/search.js create mode 100644 supplemental_ui/partials/footer-scripts.hbs create mode 100644 supplemental_ui/partials/head-meta.hbs diff --git a/generate_site.sh b/generate_site.sh new file mode 100755 index 000000000..89a30cbcb --- /dev/null +++ b/generate_site.sh @@ -0,0 +1,3 @@ +#! /bin/bash +DOCSEARCH_ENABLED=true DOCSEARCH_ENGINE=lunr antora sven-antora-playbook.yml +touch build/site/.nojekyll \ No newline at end of file diff --git a/supplemental_ui/js/vendor/lunr.js b/supplemental_ui/js/vendor/lunr.js new file mode 100644 index 000000000..c3537658a --- /dev/null +++ b/supplemental_ui/js/vendor/lunr.js @@ -0,0 +1,3475 @@ +/** + * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.8 + * Copyright (C) 2019 Oliver Nightingale + * @license MIT + */ + +;(function(){ + +/** + * A convenience function for configuring and constructing + * a new lunr Index. + * + * A lunr.Builder instance is created and the pipeline setup + * with a trimmer, stop word filter and stemmer. + * + * This builder object is yielded to the configuration function + * that is passed as a parameter, allowing the list of fields + * and other builder parameters to be customised. + * + * All documents _must_ be added within the passed config function. + * + * @example + * var idx = lunr(function () { + * this.field('title') + * this.field('body') + * this.ref('id') + * + * documents.forEach(function (doc) { + * this.add(doc) + * }, this) + * }) + * + * @see {@link lunr.Builder} + * @see {@link lunr.Pipeline} + * @see {@link lunr.trimmer} + * @see {@link lunr.stopWordFilter} + * @see {@link lunr.stemmer} + * @namespace {function} lunr + */ +var lunr = function (config) { + var builder = new lunr.Builder + + builder.pipeline.add( + lunr.trimmer, + lunr.stopWordFilter, + lunr.stemmer + ) + + builder.searchPipeline.add( + lunr.stemmer + ) + + config.call(builder, builder) + return builder.build() +} + +lunr.version = "2.3.8" +/*! + * lunr.utils + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A namespace containing utils for the rest of the lunr library + * @namespace lunr.utils + */ +lunr.utils = {} + +/** + * Print a warning message to the console. + * + * @param {String} message The message to be printed. + * @memberOf lunr.utils + * @function + */ +lunr.utils.warn = (function (global) { + /* eslint-disable no-console */ + return function (message) { + if (global.console && console.warn) { + console.warn(message) + } + } + /* eslint-enable no-console */ +})(this) + +/** + * Convert an object to a string. + * + * In the case of `null` and `undefined` the function returns + * the empty string, in all other cases the result of calling + * `toString` on the passed object is returned. + * + * @param {Any} obj The object to convert to a string. + * @return {String} string representation of the passed object. + * @memberOf lunr.utils + */ +lunr.utils.asString = function (obj) { + if (obj === void 0 || obj === null) { + return "" + } else { + return obj.toString() + } +} + +/** + * Clones an object. + * + * Will create a copy of an existing object such that any mutations + * on the copy cannot affect the original. + * + * Only shallow objects are supported, passing a nested object to this + * function will cause a TypeError. + * + * Objects with primitives, and arrays of primitives are supported. + * + * @param {Object} obj The object to clone. + * @return {Object} a clone of the passed object. + * @throws {TypeError} when a nested object is passed. + * @memberOf Utils + */ +lunr.utils.clone = function (obj) { + if (obj === null || obj === undefined) { + return obj + } + + var clone = Object.create(null), + keys = Object.keys(obj) + + for (var i = 0; i < keys.length; i++) { + var key = keys[i], + val = obj[key] + + if (Array.isArray(val)) { + clone[key] = val.slice() + continue + } + + if (typeof val === 'string' || + typeof val === 'number' || + typeof val === 'boolean') { + clone[key] = val + continue + } + + throw new TypeError("clone is not deep and does not support nested objects") + } + + return clone +} +lunr.FieldRef = function (docRef, fieldName, stringValue) { + this.docRef = docRef + this.fieldName = fieldName + this._stringValue = stringValue +} + +lunr.FieldRef.joiner = "/" + +lunr.FieldRef.fromString = function (s) { + var n = s.indexOf(lunr.FieldRef.joiner) + + if (n === -1) { + throw "malformed field ref string" + } + + var fieldRef = s.slice(0, n), + docRef = s.slice(n + 1) + + return new lunr.FieldRef (docRef, fieldRef, s) +} + +lunr.FieldRef.prototype.toString = function () { + if (this._stringValue == undefined) { + this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef + } + + return this._stringValue +} +/*! + * lunr.Set + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A lunr set. + * + * @constructor + */ +lunr.Set = function (elements) { + this.elements = Object.create(null) + + if (elements) { + this.length = elements.length + + for (var i = 0; i < this.length; i++) { + this.elements[elements[i]] = true + } + } else { + this.length = 0 + } +} + +/** + * A complete set that contains all elements. + * + * @static + * @readonly + * @type {lunr.Set} + */ +lunr.Set.complete = { + intersect: function (other) { + return other + }, + + union: function (other) { + return other + }, + + contains: function () { + return true + } +} + +/** + * An empty set that contains no elements. + * + * @static + * @readonly + * @type {lunr.Set} + */ +lunr.Set.empty = { + intersect: function () { + return this + }, + + union: function (other) { + return other + }, + + contains: function () { + return false + } +} + +/** + * Returns true if this set contains the specified object. + * + * @param {object} object - Object whose presence in this set is to be tested. + * @returns {boolean} - True if this set contains the specified object. + */ +lunr.Set.prototype.contains = function (object) { + return !!this.elements[object] +} + +/** + * Returns a new set containing only the elements that are present in both + * this set and the specified set. + * + * @param {lunr.Set} other - set to intersect with this set. + * @returns {lunr.Set} a new set that is the intersection of this and the specified set. + */ + +lunr.Set.prototype.intersect = function (other) { + var a, b, elements, intersection = [] + + if (other === lunr.Set.complete) { + return this + } + + if (other === lunr.Set.empty) { + return other + } + + if (this.length < other.length) { + a = this + b = other + } else { + a = other + b = this + } + + elements = Object.keys(a.elements) + + for (var i = 0; i < elements.length; i++) { + var element = elements[i] + if (element in b.elements) { + intersection.push(element) + } + } + + return new lunr.Set (intersection) +} + +/** + * Returns a new set combining the elements of this and the specified set. + * + * @param {lunr.Set} other - set to union with this set. + * @return {lunr.Set} a new set that is the union of this and the specified set. + */ + +lunr.Set.prototype.union = function (other) { + if (other === lunr.Set.complete) { + return lunr.Set.complete + } + + if (other === lunr.Set.empty) { + return this + } + + return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements))) +} +/** + * A function to calculate the inverse document frequency for + * a posting. This is shared between the builder and the index + * + * @private + * @param {object} posting - The posting for a given term + * @param {number} documentCount - The total number of documents. + */ +lunr.idf = function (posting, documentCount) { + var documentsWithTerm = 0 + + for (var fieldName in posting) { + if (fieldName == '_index') continue // Ignore the term index, its not a field + documentsWithTerm += Object.keys(posting[fieldName]).length + } + + var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5) + + return Math.log(1 + Math.abs(x)) +} + +/** + * A token wraps a string representation of a token + * as it is passed through the text processing pipeline. + * + * @constructor + * @param {string} [str=''] - The string token being wrapped. + * @param {object} [metadata={}] - Metadata associated with this token. + */ +lunr.Token = function (str, metadata) { + this.str = str || "" + this.metadata = metadata || {} +} + +/** + * Returns the token string that is being wrapped by this object. + * + * @returns {string} + */ +lunr.Token.prototype.toString = function () { + return this.str +} + +/** + * A token update function is used when updating or optionally + * when cloning a token. + * + * @callback lunr.Token~updateFunction + * @param {string} str - The string representation of the token. + * @param {Object} metadata - All metadata associated with this token. + */ + +/** + * Applies the given function to the wrapped string token. + * + * @example + * token.update(function (str, metadata) { + * return str.toUpperCase() + * }) + * + * @param {lunr.Token~updateFunction} fn - A function to apply to the token string. + * @returns {lunr.Token} + */ +lunr.Token.prototype.update = function (fn) { + this.str = fn(this.str, this.metadata) + return this +} + +/** + * Creates a clone of this token. Optionally a function can be + * applied to the cloned token. + * + * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token. + * @returns {lunr.Token} + */ +lunr.Token.prototype.clone = function (fn) { + fn = fn || function (s) { return s } + return new lunr.Token (fn(this.str, this.metadata), this.metadata) +} +/*! + * lunr.tokenizer + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A function for splitting a string into tokens ready to be inserted into + * the search index. Uses `lunr.tokenizer.separator` to split strings, change + * the value of this property to change how strings are split into tokens. + * + * This tokenizer will convert its parameter to a string by calling `toString` and + * then will split this string on the character in `lunr.tokenizer.separator`. + * Arrays will have their elements converted to strings and wrapped in a lunr.Token. + * + * Optional metadata can be passed to the tokenizer, this metadata will be cloned and + * added as metadata to every token that is created from the object to be tokenized. + * + * @static + * @param {?(string|object|object[])} obj - The object to convert into tokens + * @param {?object} metadata - Optional metadata to associate with every token + * @returns {lunr.Token[]} + * @see {@link lunr.Pipeline} + */ +lunr.tokenizer = function (obj, metadata) { + if (obj == null || obj == undefined) { + return [] + } + + if (Array.isArray(obj)) { + return obj.map(function (t) { + return new lunr.Token( + lunr.utils.asString(t).toLowerCase(), + lunr.utils.clone(metadata) + ) + }) + } + + var str = obj.toString().toLowerCase(), + len = str.length, + tokens = [] + + for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) { + var char = str.charAt(sliceEnd), + sliceLength = sliceEnd - sliceStart + + if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) { + + if (sliceLength > 0) { + var tokenMetadata = lunr.utils.clone(metadata) || {} + tokenMetadata["position"] = [sliceStart, sliceLength] + tokenMetadata["index"] = tokens.length + + tokens.push( + new lunr.Token ( + str.slice(sliceStart, sliceEnd), + tokenMetadata + ) + ) + } + + sliceStart = sliceEnd + 1 + } + + } + + return tokens +} + +/** + * The separator used to split a string into tokens. Override this property to change the behaviour of + * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens. + * + * @static + * @see lunr.tokenizer + */ +lunr.tokenizer.separator = /[\s\-]+/ +/*! + * lunr.Pipeline + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.Pipelines maintain an ordered list of functions to be applied to all + * tokens in documents entering the search index and queries being ran against + * the index. + * + * An instance of lunr.Index created with the lunr shortcut will contain a + * pipeline with a stop word filter and an English language stemmer. Extra + * functions can be added before or after either of these functions or these + * default functions can be removed. + * + * When run the pipeline will call each function in turn, passing a token, the + * index of that token in the original list of all tokens and finally a list of + * all the original tokens. + * + * The output of functions in the pipeline will be passed to the next function + * in the pipeline. To exclude a token from entering the index the function + * should return undefined, the rest of the pipeline will not be called with + * this token. + * + * For serialisation of pipelines to work, all functions used in an instance of + * a pipeline should be registered with lunr.Pipeline. Registered functions can + * then be loaded. If trying to load a serialised pipeline that uses functions + * that are not registered an error will be thrown. + * + * If not planning on serialising the pipeline then registering pipeline functions + * is not necessary. + * + * @constructor + */ +lunr.Pipeline = function () { + this._stack = [] +} + +lunr.Pipeline.registeredFunctions = Object.create(null) + +/** + * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token + * string as well as all known metadata. A pipeline function can mutate the token string + * or mutate (or add) metadata for a given token. + * + * A pipeline function can indicate that the passed token should be discarded by returning + * null, 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) 2019 Oliver Nightingale + */ + +/** + * A vector is used to construct the vector space of documents and queries. These + * vectors support operations to determine the similarity between two documents or + * a document and a query. + * + * Normally no parameters are required for initializing a vector, but in the case of + * loading a previously dumped vector the raw elements can be provided to the constructor. + * + * For performance reasons vectors are implemented with a flat array, where an elements + * index is immediately followed by its value. E.g. [index, value, index, value]. This + * allows the underlying array to be as sparse as possible and still offer decent + * performance when being used for vector calculations. + * + * @constructor + * @param {Number[]} [elements] - The flat list of element index and element value pairs. + */ +lunr.Vector = function (elements) { + this._magnitude = 0 + this.elements = elements || [] +} + + +/** + * Calculates the position within the vector to insert a given index. + * + * This is used internally by insert and upsert. If there are duplicate indexes then + * the position is returned as if the value for that index were to be updated, but it + * is the callers responsibility to check whether there is a duplicate at that index + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @returns {Number} + */ +lunr.Vector.prototype.positionForIndex = function (index) { + // For an empty vector the tuple can be inserted at the beginning + if (this.elements.length == 0) { + return 0 + } + + var start = 0, + end = this.elements.length / 2, + sliceLength = end - start, + pivotPoint = Math.floor(sliceLength / 2), + pivotIndex = this.elements[pivotPoint * 2] + + while (sliceLength > 1) { + if (pivotIndex < index) { + start = pivotPoint + } + + if (pivotIndex > index) { + end = pivotPoint + } + + if (pivotIndex == index) { + break + } + + sliceLength = end - start + pivotPoint = start + Math.floor(sliceLength / 2) + pivotIndex = this.elements[pivotPoint * 2] + } + + if (pivotIndex == index) { + return pivotPoint * 2 + } + + if (pivotIndex > index) { + return pivotPoint * 2 + } + + if (pivotIndex < index) { + return (pivotPoint + 1) * 2 + } +} + +/** + * Inserts an element at an index within the vector. + * + * Does not allow duplicates, will throw an error if there is already an entry + * for this index. + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @param {Number} val - The value to be inserted into the vector. + */ +lunr.Vector.prototype.insert = function (insertIdx, val) { + this.upsert(insertIdx, val, function () { + throw "duplicate index" + }) +} + +/** + * Inserts or updates an existing index within the vector. + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @param {Number} val - The value to be inserted into the vector. + * @param {function} fn - A function that is called for updates, the existing value and the + * requested value are passed as arguments + */ +lunr.Vector.prototype.upsert = function (insertIdx, val, fn) { + this._magnitude = 0 + var position = this.positionForIndex(insertIdx) + + if (this.elements[position] == insertIdx) { + this.elements[position + 1] = fn(this.elements[position + 1], val) + } else { + this.elements.splice(position, 0, insertIdx, val) + } +} + +/** + * Calculates the magnitude of this vector. + * + * @returns {Number} + */ +lunr.Vector.prototype.magnitude = function () { + if (this._magnitude) return this._magnitude + + var sumOfSquares = 0, + elementsLength = this.elements.length + + for (var i = 1; i < elementsLength; i += 2) { + var val = this.elements[i] + sumOfSquares += val * val + } + + return this._magnitude = Math.sqrt(sumOfSquares) +} + +/** + * Calculates the dot product of this vector and another vector. + * + * @param {lunr.Vector} otherVector - The vector to compute the dot product with. + * @returns {Number} + */ +lunr.Vector.prototype.dot = function (otherVector) { + var dotProduct = 0, + a = this.elements, b = otherVector.elements, + aLen = a.length, bLen = b.length, + aVal = 0, bVal = 0, + i = 0, j = 0 + + while (i < aLen && j < bLen) { + aVal = a[i], bVal = b[j] + if (aVal < bVal) { + i += 2 + } else if (aVal > bVal) { + j += 2 + } else if (aVal == bVal) { + dotProduct += a[i + 1] * b[j + 1] + i += 2 + j += 2 + } + } + + return dotProduct +} + +/** + * Calculates the similarity between this vector and another vector. + * + * @param {lunr.Vector} otherVector - The other vector to calculate the + * similarity with. + * @returns {Number} + */ +lunr.Vector.prototype.similarity = function (otherVector) { + return this.dot(otherVector) / this.magnitude() || 0 +} + +/** + * Converts the vector to an array of the elements within the vector. + * + * @returns {Number[]} + */ +lunr.Vector.prototype.toArray = function () { + var output = new Array (this.elements.length / 2) + + for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) { + output[j] = this.elements[i] + } + + return output +} + +/** + * A JSON serializable representation of the vector. + * + * @returns {Number[]} + */ +lunr.Vector.prototype.toJSON = function () { + return this.elements +} +/* eslint-disable */ +/*! + * lunr.stemmer + * Copyright (C) 2019 Oliver Nightingale + * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt + */ + +/** + * lunr.stemmer is an english language stemmer, this is a JavaScript + * implementation of the PorterStemmer taken from http://tartarus.org/~martin + * + * @static + * @implements {lunr.PipelineFunction} + * @param {lunr.Token} token - The string to stem + * @returns {lunr.Token} + * @see {@link lunr.Pipeline} + * @function + */ +lunr.stemmer = (function(){ + var step2list = { + "ational" : "ate", + "tional" : "tion", + "enci" : "ence", + "anci" : "ance", + "izer" : "ize", + "bli" : "ble", + "alli" : "al", + "entli" : "ent", + "eli" : "e", + "ousli" : "ous", + "ization" : "ize", + "ation" : "ate", + "ator" : "ate", + "alism" : "al", + "iveness" : "ive", + "fulness" : "ful", + "ousness" : "ous", + "aliti" : "al", + "iviti" : "ive", + "biliti" : "ble", + "logi" : "log" + }, + + step3list = { + "icate" : "ic", + "ative" : "", + "alize" : "al", + "iciti" : "ic", + "ical" : "ic", + "ful" : "", + "ness" : "" + }, + + c = "[^aeiou]", // consonant + v = "[aeiouy]", // vowel + C = c + "[^aeiouy]*", // consonant sequence + V = v + "[aeiou]*", // vowel sequence + + mgr0 = "^(" + C + ")?" + V + C, // [C]VC... is m>0 + meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$", // [C]VC[V] is m=1 + mgr1 = "^(" + C + ")?" + V + C + V + C, // [C]VCVC... is m>1 + s_v = "^(" + C + ")?" + v; // vowel in stem + + var re_mgr0 = new RegExp(mgr0); + var re_mgr1 = new RegExp(mgr1); + var re_meq1 = new RegExp(meq1); + var re_s_v = new RegExp(s_v); + + var re_1a = /^(.+?)(ss|i)es$/; + var re2_1a = /^(.+?)([^s])s$/; + var re_1b = /^(.+?)eed$/; + var re2_1b = /^(.+?)(ed|ing)$/; + var re_1b_2 = /.$/; + var re2_1b_2 = /(at|bl|iz)$/; + var re3_1b_2 = new RegExp("([^aeiouylsz])\\1$"); + var re4_1b_2 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + + var re_1c = /^(.+?[^aeiou])y$/; + var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + + var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + + var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + var re2_4 = /^(.+?)(s|t)(ion)$/; + + var re_5 = /^(.+?)e$/; + var re_5_1 = /ll$/; + var re3_5 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + + var porterStemmer = function porterStemmer(w) { + var stem, + suffix, + firstch, + re, + re2, + re3, + re4; + + if (w.length < 3) { return w; } + + firstch = w.substr(0,1); + if (firstch == "y") { + w = firstch.toUpperCase() + w.substr(1); + } + + // Step 1a + re = re_1a + re2 = re2_1a; + + if (re.test(w)) { w = w.replace(re,"$1$2"); } + else if (re2.test(w)) { w = w.replace(re2,"$1$2"); } + + // Step 1b + re = re_1b; + re2 = re2_1b; + if (re.test(w)) { + var fp = re.exec(w); + re = re_mgr0; + if (re.test(fp[1])) { + re = re_1b_2; + w = w.replace(re,""); + } + } else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = re_s_v; + if (re2.test(stem)) { + w = stem; + re2 = re2_1b_2; + re3 = re3_1b_2; + re4 = re4_1b_2; + if (re2.test(w)) { w = w + "e"; } + else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,""); } + else if (re4.test(w)) { w = w + "e"; } + } + } + + // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say) + re = re_1c; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + w = stem + "i"; + } + + // Step 2 + re = re_2; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = re_mgr0; + if (re.test(stem)) { + w = stem + step2list[suffix]; + } + } + + // Step 3 + re = re_3; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = re_mgr0; + if (re.test(stem)) { + w = stem + step3list[suffix]; + } + } + + // Step 4 + re = re_4; + re2 = re2_4; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = re_mgr1; + if (re.test(stem)) { + w = stem; + } + } else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = re_mgr1; + if (re2.test(stem)) { + w = stem; + } + } + + // Step 5 + re = re_5; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = re_mgr1; + re2 = re_meq1; + re3 = re3_5; + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) { + w = stem; + } + } + + re = re_5_1; + re2 = re_mgr1; + if (re.test(w) && re2.test(w)) { + re = re_1b_2; + w = w.replace(re,""); + } + + // and turn initial Y back to y + + if (firstch == "y") { + w = firstch.toLowerCase() + w.substr(1); + } + + return w; + }; + + return function (token) { + return token.update(porterStemmer); + } +})(); + +lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer') +/*! + * lunr.stopWordFilter + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.generateStopWordFilter builds a stopWordFilter function from the provided + * list of stop words. + * + * The built in lunr.stopWordFilter is built using this generator and can be used + * to generate custom stopWordFilters for applications or non English languages. + * + * @function + * @param {Array} token The token to pass through the filter + * @returns {lunr.PipelineFunction} + * @see lunr.Pipeline + * @see lunr.stopWordFilter + */ +lunr.generateStopWordFilter = function (stopWords) { + var words = stopWords.reduce(function (memo, stopWord) { + memo[stopWord] = stopWord + return memo + }, {}) + + return function (token) { + if (token && words[token.toString()] !== token.toString()) return token + } +} + +/** + * lunr.stopWordFilter is an English language stop word list filter, any words + * contained in the list will not be passed through the filter. + * + * This is intended to be used in the Pipeline. If the token does not pass the + * filter then undefined will be returned. + * + * @function + * @implements {lunr.PipelineFunction} + * @params {lunr.Token} token - A token to check for being a stop word. + * @returns {lunr.Token} + * @see {@link lunr.Pipeline} + */ +lunr.stopWordFilter = lunr.generateStopWordFilter([ + 'a', + 'able', + 'about', + 'across', + 'after', + 'all', + 'almost', + 'also', + 'am', + 'among', + 'an', + 'and', + 'any', + 'are', + 'as', + 'at', + 'be', + 'because', + 'been', + 'but', + 'by', + 'can', + 'cannot', + 'could', + 'dear', + 'did', + 'do', + 'does', + 'either', + 'else', + 'ever', + 'every', + 'for', + 'from', + 'get', + 'got', + 'had', + 'has', + 'have', + 'he', + 'her', + 'hers', + 'him', + 'his', + 'how', + 'however', + 'i', + 'if', + 'in', + 'into', + 'is', + 'it', + 'its', + 'just', + 'least', + 'let', + 'like', + 'likely', + 'may', + 'me', + 'might', + 'most', + 'must', + 'my', + 'neither', + 'no', + 'nor', + 'not', + 'of', + 'off', + 'often', + 'on', + 'only', + 'or', + 'other', + 'our', + 'own', + 'rather', + 'said', + 'say', + 'says', + 'she', + 'should', + 'since', + 'so', + 'some', + 'than', + 'that', + 'the', + 'their', + 'them', + 'then', + 'there', + 'these', + 'they', + 'this', + 'tis', + 'to', + 'too', + 'twas', + 'us', + 'wants', + 'was', + 'we', + 'were', + 'what', + 'when', + 'where', + 'which', + 'while', + 'who', + 'whom', + 'why', + 'will', + 'with', + 'would', + 'yet', + 'you', + 'your' +]) + +lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter') +/*! + * lunr.trimmer + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.trimmer is a pipeline function for trimming non word + * characters from the beginning and end of tokens before they + * enter the index. + * + * This implementation may not work correctly for non latin + * characters and should either be removed or adapted for use + * with languages with non-latin characters. + * + * @static + * @implements {lunr.PipelineFunction} + * @param {lunr.Token} token The token to pass through the filter + * @returns {lunr.Token} + * @see lunr.Pipeline + */ +lunr.trimmer = function (token) { + return token.update(function (s) { + return s.replace(/^\W+/, '').replace(/\W+$/, '') + }) +} + +lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer') +/*! + * lunr.TokenSet + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A token set is used to store the unique list of all tokens + * within an index. Token sets are also used to represent an + * incoming query to the index, this query token set and index + * token set are then intersected to find which tokens to look + * up in the inverted index. + * + * A token set can hold multiple tokens, as in the case of the + * index token set, or it can hold a single token as in the + * case of a simple query token set. + * + * Additionally token sets are used to perform wildcard matching. + * Leading, contained and trailing wildcards are supported, and + * from this edit distance matching can also be provided. + * + * Token sets are implemented as a minimal finite state automata, + * where both common prefixes and suffixes are shared between tokens. + * This helps to reduce the space used for storing the token set. + * + * @constructor + */ +lunr.TokenSet = function () { + this.final = false + this.edges = {} + this.id = lunr.TokenSet._nextId + lunr.TokenSet._nextId += 1 +} + +/** + * Keeps track of the next, auto increment, identifier to assign + * to a new tokenSet. + * + * TokenSets require a unique identifier to be correctly minimised. + * + * @private + */ +lunr.TokenSet._nextId = 1 + +/** + * Creates a TokenSet instance from the given sorted array of words. + * + * @param {String[]} arr - A sorted array of strings to create the set from. + * @returns {lunr.TokenSet} + * @throws Will throw an error if the input array is not sorted. + */ +lunr.TokenSet.fromArray = function (arr) { + var builder = new lunr.TokenSet.Builder + + for (var i = 0, len = arr.length; i < len; i++) { + builder.insert(arr[i]) + } + + builder.finish() + return builder.root +} + +/** + * Creates a token set from a query clause. + * + * @private + * @param {Object} clause - A single clause from lunr.Query. + * @param {string} clause.term - The query clause term. + * @param {number} [clause.editDistance] - The optional edit distance for the term. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.fromClause = function (clause) { + if ('editDistance' in clause) { + return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance) + } else { + return lunr.TokenSet.fromString(clause.term) + } +} + +/** + * Creates a token set representing a single string with a specified + * edit distance. + * + * Insertions, deletions, substitutions and transpositions are each + * treated as an edit distance of 1. + * + * Increasing the allowed edit distance will have a dramatic impact + * on the performance of both creating and intersecting these TokenSets. + * It is advised to keep the edit distance less than 3. + * + * @param {string} str - The string to create the token set from. + * @param {number} editDistance - The allowed edit distance to match. + * @returns {lunr.Vector} + */ +lunr.TokenSet.fromFuzzyString = function (str, editDistance) { + var root = new lunr.TokenSet + + var stack = [{ + node: root, + editsRemaining: editDistance, + str: str + }] + + while (stack.length) { + var frame = stack.pop() + + // no edit + if (frame.str.length > 0) { + var char = frame.str.charAt(0), + noEditNode + + if (char in frame.node.edges) { + noEditNode = frame.node.edges[char] + } else { + noEditNode = new lunr.TokenSet + frame.node.edges[char] = noEditNode + } + + if (frame.str.length == 1) { + noEditNode.final = true + } + + stack.push({ + node: noEditNode, + editsRemaining: frame.editsRemaining, + str: frame.str.slice(1) + }) + } + + if (frame.editsRemaining == 0) { + continue + } + + // insertion + if ("*" in frame.node.edges) { + var insertionNode = frame.node.edges["*"] + } else { + var insertionNode = new lunr.TokenSet + frame.node.edges["*"] = insertionNode + } + + if (frame.str.length == 0) { + insertionNode.final = true + } + + stack.push({ + node: insertionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str + }) + + // deletion + // can only do a deletion if we have enough edits remaining + // and if there are characters left to delete in the string + if (frame.str.length > 1) { + stack.push({ + node: frame.node, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + + // deletion + // just removing the last character from the str + if (frame.str.length == 1) { + frame.node.final = true + } + + // substitution + // can only do a substitution if we have enough edits remaining + // and if there are characters left to substitute + if (frame.str.length >= 1) { + if ("*" in frame.node.edges) { + var substitutionNode = frame.node.edges["*"] + } else { + var substitutionNode = new lunr.TokenSet + frame.node.edges["*"] = substitutionNode + } + + if (frame.str.length == 1) { + substitutionNode.final = true + } + + stack.push({ + node: substitutionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + + // transposition + // can only do a transposition if there are edits remaining + // and there are enough characters to transpose + if (frame.str.length > 1) { + var charA = frame.str.charAt(0), + charB = frame.str.charAt(1), + transposeNode + + if (charB in frame.node.edges) { + transposeNode = frame.node.edges[charB] + } else { + transposeNode = new lunr.TokenSet + frame.node.edges[charB] = transposeNode + } + + if (frame.str.length == 1) { + transposeNode.final = true + } + + stack.push({ + node: transposeNode, + editsRemaining: frame.editsRemaining - 1, + str: charA + frame.str.slice(2) + }) + } + } + + return root +} + +/** + * Creates a TokenSet from a string. + * + * The string may contain one or more wildcard characters (*) + * that will allow wildcard matching when intersecting with + * another TokenSet. + * + * @param {string} str - The string to create a TokenSet from. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.fromString = function (str) { + var node = new lunr.TokenSet, + root = node + + /* + * Iterates through all characters within the passed string + * appending a node for each character. + * + * When a wildcard character is found then a self + * referencing edge is introduced to continually match + * any number of any characters. + */ + for (var i = 0, len = str.length; i < len; i++) { + var char = str[i], + final = (i == len - 1) + + if (char == "*") { + node.edges[char] = node + node.final = final + + } else { + var next = new lunr.TokenSet + next.final = final + + node.edges[char] = next + node = next + } + } + + return root +} + +/** + * Converts this TokenSet into an array of strings + * contained within the TokenSet. + * + * 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) 2019 Oliver Nightingale + */ + +/** + * An index contains the built index of all documents and provides a query interface + * to the index. + * + * Usually instances of lunr.Index will not be created using this constructor, instead + * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be + * used to load previously built and serialized indexes. + * + * @constructor + * @param {Object} attrs - The attributes of the built search index. + * @param {Object} attrs.invertedIndex - An index of term/field to document reference. + * @param {Object} attrs.fieldVectors - Field vectors + * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens. + * @param {string[]} attrs.fields - The names of indexed document fields. + * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms. + */ +lunr.Index = function (attrs) { + this.invertedIndex = attrs.invertedIndex + this.fieldVectors = attrs.fieldVectors + this.tokenSet = attrs.tokenSet + this.fields = attrs.fields + this.pipeline = attrs.pipeline +} + +/** + * A result contains details of a document matching a search query. + * @typedef {Object} lunr.Index~Result + * @property {string} ref - The reference of the document this result represents. + * @property {number} score - A number between 0 and 1 representing how similar this document is to the query. + * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match. + */ + +/** + * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple + * query language which itself is parsed into an instance of lunr.Query. + * + * For programmatically building queries it is advised to directly use lunr.Query, the query language + * is best used for human entered text rather than program generated text. + * + * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported + * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello' + * or 'world', though those that contain both will rank higher in the results. + * + * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can + * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding + * wildcards will increase the number of documents that will be found but can also have a negative + * impact on query performance, especially with wildcards at the beginning of a term. + * + * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term + * hello in the title field will match this query. Using a field not present in the index will lead + * to an error being thrown. + * + * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term + * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported + * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2. + * Avoid large values for edit distance to improve query performance. + * + * Each term also supports a presence modifier. By default a term's presence in document is optional, however + * this can be changed to either required or prohibited. For a term's presence to be required in a document the + * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and + * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not + * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'. + * + * To escape special characters the backslash character '\' can be used, this allows searches to include + * characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead + * of attempting to apply a boost of 2 to the search term "foo". + * + * @typedef {string} lunr.Index~QueryString + * @example Simple single term query + * hello + * @example Multiple term query + * hello world + * @example term scoped to a field + * title:hello + * @example term with a boost of 10 + * hello^10 + * @example term with an edit distance of 2 + * hello~2 + * @example terms with presence modifiers + * -foo +bar baz + */ + +/** + * Performs a search against the index using lunr query syntax. + * + * Results will be returned sorted by their score, the most relevant results + * will be returned first. For details on how the score is calculated, please see + * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}. + * + * For more programmatic querying use lunr.Index#query. + * + * @param {lunr.Index~QueryString} queryString - A string containing a lunr query. + * @throws {lunr.QueryParseError} If the passed query string cannot be parsed. + * @returns {lunr.Index~Result[]} + */ +lunr.Index.prototype.search = function (queryString) { + return this.query(function (query) { + var parser = new lunr.QueryParser(queryString, query) + parser.parse() + }) +} + +/** + * A query builder callback provides a query object to be used to express + * the query to perform on the index. + * + * @callback lunr.Index~queryBuilder + * @param {lunr.Query} query - The query object to build up. + * @this lunr.Query + */ + +/** + * Performs a query against the index using the yielded lunr.Query object. + * + * If performing programmatic queries against the index, this method is preferred + * over lunr.Index#search so as to avoid the additional query parsing overhead. + * + * A query object is yielded to the supplied function which should be used to + * express the query to be run against the index. + * + * Note that although this function takes a callback parameter it is _not_ an + * asynchronous operation, the callback is just yielded a query object to be + * customized. + * + * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query. + * @returns {lunr.Index~Result[]} + */ +lunr.Index.prototype.query = function (fn) { + // for each query clause + // * process terms + // * expand terms from token set + // * find matching documents and metadata + // * get document vectors + // * score documents + + var query = new lunr.Query(this.fields), + matchingFields = Object.create(null), + queryVectors = Object.create(null), + termFieldCache = Object.create(null), + requiredMatches = Object.create(null), + prohibitedMatches = Object.create(null) + + /* + * To support field level boosts a query vector is created per + * field. An empty vector is eagerly created to support negated + * queries. + */ + for (var i = 0; i < this.fields.length; i++) { + queryVectors[this.fields[i]] = new lunr.Vector + } + + fn.call(query, query) + + for (var i = 0; i < query.clauses.length; i++) { + /* + * Unless the pipeline has been disabled for this term, which is + * the case for terms with wildcards, we need to pass the clause + * term through the search pipeline. A pipeline returns an array + * of processed terms. Pipeline functions may expand the passed + * term, which means we may end up performing multiple index lookups + * for a single query term. + */ + var clause = query.clauses[i], + terms = null, + clauseMatches = lunr.Set.complete + + if (clause.usePipeline) { + terms = this.pipeline.runString(clause.term, { + fields: clause.fields + }) + } else { + terms = [clause.term] + } + + for (var m = 0; m < terms.length; m++) { + var term = terms[m] + + /* + * Each term returned from the pipeline needs to use the same query + * clause object, e.g. the same boost and or edit distance. The + * simplest way to do this is to re-use the clause object but mutate + * its term property. + */ + clause.term = term + + /* + * From the term in the clause we create a token set which will then + * be used to intersect the indexes token set to get a list of terms + * to lookup in the inverted index + */ + var termTokenSet = lunr.TokenSet.fromClause(clause), + expandedTerms = this.tokenSet.intersect(termTokenSet).toArray() + + /* + * If a term marked as required does not exist in the tokenSet it is + * impossible for the search to return any matches. We set all the field + * scoped required matches set to empty and stop examining any further + * clauses. + */ + if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) { + for (var k = 0; k < clause.fields.length; k++) { + var field = clause.fields[k] + requiredMatches[field] = lunr.Set.empty + } + + break + } + + for (var j = 0; j < expandedTerms.length; j++) { + /* + * For each term get the posting and termIndex, this is required for + * building the query vector. + */ + var expandedTerm = expandedTerms[j], + posting = this.invertedIndex[expandedTerm], + termIndex = posting._index + + for (var k = 0; k < clause.fields.length; k++) { + /* + * For each field that this query term is scoped by (by default + * all fields are in scope) we need to get all the document refs + * that have this term in that field. + * + * The posting is the entry in the invertedIndex for the matching + * term from above. + */ + var field = clause.fields[k], + fieldPosting = posting[field], + matchingDocumentRefs = Object.keys(fieldPosting), + termField = expandedTerm + "/" + field, + matchingDocumentsSet = new lunr.Set(matchingDocumentRefs) + + /* + * if the presence of this term is required ensure that the matching + * documents are added to the set of required matches for this clause. + * + */ + if (clause.presence == lunr.Query.presence.REQUIRED) { + clauseMatches = clauseMatches.union(matchingDocumentsSet) + + if (requiredMatches[field] === undefined) { + requiredMatches[field] = lunr.Set.complete + } + } + + /* + * if the presence of this term is prohibited ensure that the matching + * documents are added to the set of prohibited matches for this field, + * creating that set if it does not yet exist. + */ + if (clause.presence == lunr.Query.presence.PROHIBITED) { + if (prohibitedMatches[field] === undefined) { + prohibitedMatches[field] = lunr.Set.empty + } + + prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet) + + /* + * Prohibited matches should not be part of the query vector used for + * similarity scoring and no metadata should be extracted so we continue + * to the next field + */ + continue + } + + /* + * The query field vector is populated using the termIndex found for + * the term and a unit value with the appropriate boost applied. + * Using upsert because there could already be an entry in the vector + * for the term we are working with. In that case we just add the scores + * together. + */ + queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b }) + + /** + * If we've already seen this term, field combo then we've already collected + * the matching documents and metadata, no need to go through all that again + */ + if (termFieldCache[termField]) { + continue + } + + for (var l = 0; l < matchingDocumentRefs.length; l++) { + /* + * All metadata for this term/field/document triple + * are then extracted and collected into an instance + * of lunr.MatchData ready to be returned in the query + * results + */ + var matchingDocumentRef = matchingDocumentRefs[l], + matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field), + metadata = fieldPosting[matchingDocumentRef], + fieldMatch + + if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) { + matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata) + } else { + fieldMatch.add(expandedTerm, field, metadata) + } + + } + + termFieldCache[termField] = true + } + } + } + + /** + * If the presence was required we need to update the requiredMatches field sets. + * We do this after all fields for the term have collected their matches because + * the clause terms presence is required in _any_ of the fields not _all_ of the + * fields. + */ + if (clause.presence === lunr.Query.presence.REQUIRED) { + for (var k = 0; k < clause.fields.length; k++) { + var field = clause.fields[k] + requiredMatches[field] = requiredMatches[field].intersect(clauseMatches) + } + } + } + + /** + * Need to combine the field scoped required and prohibited + * matching documents into a global set of required and prohibited + * matches + */ + var allRequiredMatches = lunr.Set.complete, + allProhibitedMatches = lunr.Set.empty + + for (var i = 0; i < this.fields.length; i++) { + var field = this.fields[i] + + if (requiredMatches[field]) { + allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field]) + } + + if (prohibitedMatches[field]) { + allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field]) + } + } + + var matchingFieldRefs = Object.keys(matchingFields), + results = [], + matches = Object.create(null) + + /* + * If the query is negated (contains only prohibited terms) + * we need to get _all_ fieldRefs currently existing in the + * index. This is only done when we know that the query is + * entirely prohibited terms to avoid any cost of getting all + * fieldRefs unnecessarily. + * + * Additionally, blank MatchData must be created to correctly + * populate the results. + */ + if (query.isNegated()) { + matchingFieldRefs = Object.keys(this.fieldVectors) + + for (var i = 0; i < matchingFieldRefs.length; i++) { + var matchingFieldRef = matchingFieldRefs[i] + var fieldRef = lunr.FieldRef.fromString(matchingFieldRef) + matchingFields[matchingFieldRef] = new lunr.MatchData + } + } + + for (var i = 0; i < matchingFieldRefs.length; i++) { + /* + * Currently we have document fields that match the query, but we + * need to return documents. The matchData and scores are combined + * from multiple fields belonging to the same document. + * + * Scores are calculated by field, using the query vectors created + * above, and combined into a final document score using addition. + */ + var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]), + docRef = fieldRef.docRef + + if (!allRequiredMatches.contains(docRef)) { + continue + } + + if (allProhibitedMatches.contains(docRef)) { + continue + } + + var fieldVector = this.fieldVectors[fieldRef], + score = queryVectors[fieldRef.fieldName].similarity(fieldVector), + docMatch + + if ((docMatch = matches[docRef]) !== undefined) { + docMatch.score += score + docMatch.matchData.combine(matchingFields[fieldRef]) + } else { + var match = { + ref: docRef, + score: score, + matchData: matchingFields[fieldRef] + } + matches[docRef] = match + results.push(match) + } + } + + /* + * Sort the results objects by score, highest first. + */ + return results.sort(function (a, b) { + return b.score - a.score + }) +} + +/** + * Prepares the index for JSON serialization. + * + * The schema for this JSON blob will be described in a + * separate JSON schema file. + * + * @returns {Object} + */ +lunr.Index.prototype.toJSON = function () { + var invertedIndex = Object.keys(this.invertedIndex) + .sort() + .map(function (term) { + return [term, this.invertedIndex[term]] + }, this) + + var fieldVectors = Object.keys(this.fieldVectors) + .map(function (ref) { + return [ref, this.fieldVectors[ref].toJSON()] + }, this) + + return { + version: lunr.version, + fields: this.fields, + fieldVectors: fieldVectors, + invertedIndex: invertedIndex, + pipeline: this.pipeline.toJSON() + } +} + +/** + * Loads a previously serialized lunr.Index + * + * @param {Object} serializedIndex - A previously serialized lunr.Index + * @returns {lunr.Index} + */ +lunr.Index.load = function (serializedIndex) { + var attrs = {}, + fieldVectors = {}, + serializedVectors = serializedIndex.fieldVectors, + invertedIndex = Object.create(null), + serializedInvertedIndex = serializedIndex.invertedIndex, + tokenSetBuilder = new lunr.TokenSet.Builder, + pipeline = lunr.Pipeline.load(serializedIndex.pipeline) + + if (serializedIndex.version != lunr.version) { + lunr.utils.warn("Version mismatch when loading serialised index. Current version of lunr '" + lunr.version + "' does not match serialized index '" + serializedIndex.version + "'") + } + + for (var i = 0; i < serializedVectors.length; i++) { + var tuple = serializedVectors[i], + ref = tuple[0], + elements = tuple[1] + + fieldVectors[ref] = new lunr.Vector(elements) + } + + for (var i = 0; i < serializedInvertedIndex.length; i++) { + var tuple = serializedInvertedIndex[i], + term = tuple[0], + posting = tuple[1] + + tokenSetBuilder.insert(term) + invertedIndex[term] = posting + } + + tokenSetBuilder.finish() + + attrs.fields = serializedIndex.fields + + attrs.fieldVectors = fieldVectors + attrs.invertedIndex = invertedIndex + attrs.tokenSet = tokenSetBuilder.root + attrs.pipeline = pipeline + + return new lunr.Index(attrs) +} +/*! + * lunr.Builder + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.Builder performs indexing on a set of documents and + * returns instances of lunr.Index ready for querying. + * + * All configuration of the index is done via the builder, the + * fields to index, the document reference, the text processing + * pipeline and document scoring parameters are all set on the + * builder before indexing. + * + * @constructor + * @property {string} _ref - Internal reference to the document reference field. + * @property {string[]} _fields - Internal reference to the document fields to index. + * @property {object} invertedIndex - The inverted index maps terms to document fields. + * @property {object} documentTermFrequencies - Keeps track of document term frequencies. + * @property {object} documentLengths - Keeps track of the length of documents added to the index. + * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing. + * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing. + * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index. + * @property {number} documentCount - Keeps track of the total number of documents indexed. + * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75. + * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2. + * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space. + * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index. + */ +lunr.Builder = function () { + this._ref = "id" + this._fields = Object.create(null) + this._documents = Object.create(null) + this.invertedIndex = Object.create(null) + this.fieldTermFrequencies = {} + this.fieldLengths = {} + this.tokenizer = lunr.tokenizer + this.pipeline = new lunr.Pipeline + this.searchPipeline = new lunr.Pipeline + this.documentCount = 0 + this._b = 0.75 + this._k1 = 1.2 + this.termIndex = 0 + this.metadataWhitelist = [] +} + +/** + * Sets the document field used as the document reference. Every document must have this field. + * The type of this field in the document should be a string, if it is not a string it will be + * coerced into a string by calling toString. + * + * The default ref is 'id'. + * + * The ref should _not_ be changed during indexing, it should be set before any documents are + * added to the index. Changing it during indexing can lead to inconsistent results. + * + * @param {string} ref - The name of the reference field in the document. + */ +lunr.Builder.prototype.ref = function (ref) { + this._ref = ref +} + +/** + * A function that is used to extract a field from a document. + * + * Lunr expects a field to be at the top level of a document, if however the field + * is deeply nested within a document an extractor function can be used to extract + * the right field for indexing. + * + * @callback fieldExtractor + * @param {object} doc - The document being added to the index. + * @returns {?(string|object|object[])} obj - The object that will be indexed for this field. + * @example Extracting a nested field + * function (doc) { return doc.nested.field } + */ + +/** + * Adds a field to the list of document fields that will be indexed. Every document being + * indexed should have this field. Null values for this field in indexed documents will + * not cause errors but will limit the chance of that document being retrieved by searches. + * + * All fields should be added before adding documents to the index. Adding fields after + * a document has been indexed will have no effect on already indexed documents. + * + * Fields can be boosted at build time. This allows terms within that field to have more + * importance when ranking search results. Use a field boost to specify that matches within + * one field are more important than other fields. + * + * @param {string} fieldName - The name of a field to index in all documents. + * @param {object} attributes - Optional attributes associated with this field. + * @param {number} [attributes.boost=1] - Boost applied to all terms within this field. + * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document. + * @throws {RangeError} fieldName cannot contain unsupported characters '/' + */ +lunr.Builder.prototype.field = function (fieldName, attributes) { + if (/\//.test(fieldName)) { + throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'") + } + + this._fields[fieldName] = attributes || {} +} + +/** + * A parameter to tune the amount of field length normalisation that is applied when + * calculating relevance scores. A value of 0 will completely disable any normalisation + * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b + * will be clamped to the range 0 - 1. + * + * @param {number} number - The value to set for this tuning parameter. + */ +lunr.Builder.prototype.b = function (number) { + if (number < 0) { + this._b = 0 + } else if (number > 1) { + this._b = 1 + } else { + this._b = number + } +} + +/** + * A parameter that controls the speed at which a rise in term frequency results in term + * frequency saturation. The default value is 1.2. Setting this to a higher value will give + * slower saturation levels, a lower value will result in quicker saturation. + * + * @param {number} number - The value to set for this tuning parameter. + */ +lunr.Builder.prototype.k1 = function (number) { + this._k1 = number +} + +/** + * Adds a document to the index. + * + * Before adding fields to the index the index should have been fully setup, with the document + * ref and all fields to index already having been specified. + * + * The document must have a field name as specified by the ref (by default this is 'id') and + * it should have all fields defined for indexing, though null or undefined values will not + * cause errors. + * + * Entire documents can be boosted at build time. Applying a boost to a document indicates that + * this document should rank higher in search results than other documents. + * + * @param {object} doc - The document to add to the index. + * @param {object} attributes - Optional attributes associated with this document. + * @param {number} [attributes.boost=1] - Boost applied to all terms within this document. + */ +lunr.Builder.prototype.add = function (doc, attributes) { + var docRef = doc[this._ref], + fields = Object.keys(this._fields) + + this._documents[docRef] = attributes || {} + this.documentCount += 1 + + for (var i = 0; i < fields.length; i++) { + var fieldName = fields[i], + extractor = this._fields[fieldName].extractor, + field = extractor ? extractor(doc) : doc[fieldName], + tokens = this.tokenizer(field, { + fields: [fieldName] + }), + terms = this.pipeline.run(tokens), + fieldRef = new lunr.FieldRef (docRef, fieldName), + fieldTerms = Object.create(null) + + this.fieldTermFrequencies[fieldRef] = fieldTerms + this.fieldLengths[fieldRef] = 0 + + // store the length of this field for this document + this.fieldLengths[fieldRef] += terms.length + + // calculate term frequencies for this field + for (var j = 0; j < terms.length; j++) { + var term = terms[j] + + if (fieldTerms[term] == undefined) { + fieldTerms[term] = 0 + } + + fieldTerms[term] += 1 + + // add to inverted index + // create an initial posting if one doesn't exist + if (this.invertedIndex[term] == undefined) { + var posting = Object.create(null) + posting["_index"] = this.termIndex + this.termIndex += 1 + + for (var k = 0; k < fields.length; k++) { + posting[fields[k]] = Object.create(null) + } + + this.invertedIndex[term] = posting + } + + // add an entry for this term/fieldName/docRef to the invertedIndex + if (this.invertedIndex[term][fieldName][docRef] == undefined) { + this.invertedIndex[term][fieldName][docRef] = Object.create(null) + } + + // store all whitelisted metadata about this token in the + // inverted index + for (var l = 0; l < this.metadataWhitelist.length; l++) { + var metadataKey = this.metadataWhitelist[l], + metadata = term.metadata[metadataKey] + + if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) { + this.invertedIndex[term][fieldName][docRef][metadataKey] = [] + } + + this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata) + } + } + + } +} + +/** + * Calculates the average document length for this index + * + * @private + */ +lunr.Builder.prototype.calculateAverageFieldLengths = function () { + + var fieldRefs = Object.keys(this.fieldLengths), + numberOfFields = fieldRefs.length, + accumulator = {}, + documentsWithField = {} + + for (var i = 0; i < numberOfFields; i++) { + var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), + field = fieldRef.fieldName + + documentsWithField[field] || (documentsWithField[field] = 0) + documentsWithField[field] += 1 + + accumulator[field] || (accumulator[field] = 0) + accumulator[field] += this.fieldLengths[fieldRef] + } + + var fields = Object.keys(this._fields) + + for (var i = 0; i < fields.length; i++) { + var fieldName = fields[i] + accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName] + } + + this.averageFieldLength = accumulator +} + +/** + * Builds a vector space model of every document using lunr.Vector + * + * @private + */ +lunr.Builder.prototype.createFieldVectors = function () { + var fieldVectors = {}, + fieldRefs = Object.keys(this.fieldTermFrequencies), + fieldRefsLength = fieldRefs.length, + termIdfCache = Object.create(null) + + for (var i = 0; i < fieldRefsLength; i++) { + var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), + fieldName = fieldRef.fieldName, + fieldLength = this.fieldLengths[fieldRef], + fieldVector = new lunr.Vector, + termFrequencies = this.fieldTermFrequencies[fieldRef], + terms = Object.keys(termFrequencies), + termsLength = terms.length + + + var fieldBoost = this._fields[fieldName].boost || 1, + docBoost = this._documents[fieldRef.docRef].boost || 1 + + for (var j = 0; j < termsLength; j++) { + var term = terms[j], + tf = termFrequencies[term], + termIndex = this.invertedIndex[term]._index, + idf, score, scoreWithPrecision + + if (termIdfCache[term] === undefined) { + idf = lunr.idf(this.invertedIndex[term], this.documentCount) + termIdfCache[term] = idf + } else { + idf = termIdfCache[term] + } + + score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf) + score *= fieldBoost + score *= docBoost + scoreWithPrecision = Math.round(score * 1000) / 1000 + // Converts 1.23456789 to 1.234. + // Reducing the precision so that the vectors take up less + // space when serialised. Doing it now so that they behave + // the same before and after serialisation. Also, this is + // the fastest approach to reducing a number's precision in + // JavaScript. + + fieldVector.insert(termIndex, scoreWithPrecision) + } + + fieldVectors[fieldRef] = fieldVector + } + + this.fieldVectors = fieldVectors +} + +/** + * Creates a token set of all tokens in the index using lunr.TokenSet + * + * @private + */ +lunr.Builder.prototype.createTokenSet = function () { + this.tokenSet = lunr.TokenSet.fromArray( + Object.keys(this.invertedIndex).sort() + ) +} + +/** + * Builds the index, creating an instance of lunr.Index. + * + * This completes the indexing process and should only be called + * once all documents have been added to the index. + * + * @returns {lunr.Index} + */ +lunr.Builder.prototype.build = function () { + this.calculateAverageFieldLengths() + this.createFieldVectors() + this.createTokenSet() + + return new lunr.Index({ + invertedIndex: this.invertedIndex, + fieldVectors: this.fieldVectors, + tokenSet: this.tokenSet, + fields: Object.keys(this._fields), + pipeline: this.searchPipeline + }) +} + +/** + * Applies a plugin to the index builder. + * + * A plugin is a function that is called with the index builder as its context. + * Plugins can be used to customise or extend the behaviour of the index + * in some way. A plugin is just a function, that encapsulated the custom + * behaviour that should be applied when building the index. + * + * The plugin function will be called with the index builder as its argument, additional + * arguments can also be passed when calling use. The function will be called + * with the index builder as its context. + * + * @param {Function} plugin The plugin to apply. + */ +lunr.Builder.prototype.use = function (fn) { + var args = Array.prototype.slice.call(arguments, 1) + args.unshift(this) + fn.apply(this, args) +} +/** + * Contains and collects metadata about a matching document. + * A single instance of lunr.MatchData is returned as part of every + * lunr.Index~Result. + * + * @constructor + * @param {string} term - The term this match data is associated with + * @param {string} field - The field in which the term was found + * @param {object} metadata - The metadata recorded about this term in this field + * @property {object} metadata - A cloned collection of metadata associated with this document. + * @see {@link lunr.Index~Result} + */ +lunr.MatchData = function (term, field, metadata) { + var clonedMetadata = Object.create(null), + metadataKeys = Object.keys(metadata || {}) + + // Cloning the metadata to prevent the original + // being mutated during match data combination. + // Metadata is kept in an array within the inverted + // index so cloning the data can be done with + // Array#slice + for (var i = 0; i < metadataKeys.length; i++) { + var key = metadataKeys[i] + clonedMetadata[key] = metadata[key].slice() + } + + this.metadata = Object.create(null) + + if (term !== undefined) { + this.metadata[term] = Object.create(null) + this.metadata[term][field] = clonedMetadata + } +} + +/** + * An instance of lunr.MatchData will be created for every term that matches a + * document. However only one instance is required in a lunr.Index~Result. This + * method combines metadata from another instance of lunr.MatchData with this + * objects metadata. + * + * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one. + * @see {@link lunr.Index~Result} + */ +lunr.MatchData.prototype.combine = function (otherMatchData) { + var terms = Object.keys(otherMatchData.metadata) + + for (var i = 0; i < terms.length; i++) { + var term = terms[i], + fields = Object.keys(otherMatchData.metadata[term]) + + if (this.metadata[term] == undefined) { + this.metadata[term] = Object.create(null) + } + + for (var j = 0; j < fields.length; j++) { + var field = fields[j], + keys = Object.keys(otherMatchData.metadata[term][field]) + + if (this.metadata[term][field] == undefined) { + this.metadata[term][field] = Object.create(null) + } + + for (var k = 0; k < keys.length; k++) { + var key = keys[k] + + if (this.metadata[term][field][key] == undefined) { + this.metadata[term][field][key] = otherMatchData.metadata[term][field][key] + } else { + this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key]) + } + + } + } + } +} + +/** + * Add metadata for a term/field pair to this instance of match data. + * + * @param {string} term - The term this match data is associated with + * @param {string} field - The field in which the term was found + * @param {object} metadata - The metadata recorded about this term in this field + */ +lunr.MatchData.prototype.add = function (term, field, metadata) { + if (!(term in this.metadata)) { + this.metadata[term] = Object.create(null) + this.metadata[term][field] = metadata + return + } + + if (!(field in this.metadata[term])) { + this.metadata[term][field] = metadata + return + } + + var metadataKeys = Object.keys(metadata) + + for (var i = 0; i < metadataKeys.length; i++) { + var key = metadataKeys[i] + + if (key in this.metadata[term][field]) { + this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key]) + } else { + this.metadata[term][field][key] = metadata[key] + } + } +} +/** + * A lunr.Query provides a programmatic way of defining queries to be performed + * against a {@link lunr.Index}. + * + * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method + * so the query object is pre-initialized with the right index fields. + * + * @constructor + * @property {lunr.Query~Clause[]} clauses - An array of query clauses. + * @property {string[]} allFields - An array of all available fields in a lunr.Index. + */ +lunr.Query = function (allFields) { + this.clauses = [] + this.allFields = allFields +} + +/** + * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause. + * + * This allows wildcards to be added to the beginning and end of a term without having to manually do any string + * concatenation. + * + * The wildcard constants can be bitwise combined to select both leading and trailing wildcards. + * + * @constant + * @default + * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour + * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists + * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists + * @see lunr.Query~Clause + * @see lunr.Query#clause + * @see lunr.Query#term + * @example query term with trailing wildcard + * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING }) + * @example query term with leading and trailing wildcard + * query.term('foo', { + * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING + * }) + */ + +lunr.Query.wildcard = new String ("*") +lunr.Query.wildcard.NONE = 0 +lunr.Query.wildcard.LEADING = 1 +lunr.Query.wildcard.TRAILING = 2 + +/** + * Constants for indicating what kind of presence a term must have in matching documents. + * + * @constant + * @enum {number} + * @see lunr.Query~Clause + * @see lunr.Query#clause + * @see lunr.Query#term + * @example query term with required presence + * query.term('foo', { presence: lunr.Query.presence.REQUIRED }) + */ +lunr.Query.presence = { + /** + * Term's presence in a document is optional, this is the default value. + */ + OPTIONAL: 1, + + /** + * Term's presence in a document is required, documents that do not contain + * this term will not be returned. + */ + REQUIRED: 2, + + /** + * Term's presence in a document is prohibited, documents that do contain + * this term will not be returned. + */ + PROHIBITED: 3 +} + +/** + * A single clause in a {@link lunr.Query} contains a term and details on how to + * match that term against a {@link lunr.Index}. + * + * @typedef {Object} lunr.Query~Clause + * @property {string[]} fields - The fields in an index this clause should be matched against. + * @property {number} [boost=1] - Any boost that should be applied when matching this clause. + * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be. + * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline. + * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended. + * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents. + */ + +/** + * Adds a {@link lunr.Query~Clause} to this query. + * + * Unless the clause contains the fields to be matched all fields will be matched. In addition + * a default boost of 1 is applied to the clause. + * + * @param {lunr.Query~Clause} clause - The clause to add to this query. + * @see lunr.Query~Clause + * @returns {lunr.Query} + */ +lunr.Query.prototype.clause = function (clause) { + if (!('fields' in clause)) { + clause.fields = this.allFields + } + + if (!('boost' in clause)) { + clause.boost = 1 + } + + if (!('usePipeline' in clause)) { + clause.usePipeline = true + } + + if (!('wildcard' in clause)) { + clause.wildcard = lunr.Query.wildcard.NONE + } + + if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) { + clause.term = "*" + clause.term + } + + if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) { + clause.term = "" + clause.term + "*" + } + + if (!('presence' in clause)) { + clause.presence = lunr.Query.presence.OPTIONAL + } + + this.clauses.push(clause) + + return this +} + +/** + * A negated query is one in which every clause has a presence of + * prohibited. These queries require some special processing to return + * the expected results. + * + * @returns boolean + */ +lunr.Query.prototype.isNegated = function () { + for (var i = 0; i < this.clauses.length; i++) { + if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) { + return false + } + } + + return true +} + +/** + * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause} + * to the list of clauses that make up this query. + * + * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion + * to a token or token-like string should be done before calling this method. + * + * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an + * array, each term in the array will share the same options. + * + * @param {object|object[]} term - The term(s) to add to the query. + * @param {object} [options] - Any additional properties to add to the query clause. + * @returns {lunr.Query} + * @see lunr.Query#clause + * @see lunr.Query~Clause + * @example adding a single term to a query + * query.term("foo") + * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard + * query.term("foo", { + * fields: ["title"], + * boost: 10, + * wildcard: lunr.Query.wildcard.TRAILING + * }) + * @example using lunr.tokenizer to convert a string to tokens before using them as terms + * query.term(lunr.tokenizer("foo bar")) + */ +lunr.Query.prototype.term = function (term, options) { + if (Array.isArray(term)) { + term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this) + return this + } + + var clause = options || {} + clause.term = term.toString() + + this.clause(clause) + + return this +} +lunr.QueryParseError = function (message, start, end) { + this.name = "QueryParseError" + this.message = message + this.start = start + this.end = end +} + +lunr.QueryParseError.prototype = new Error +lunr.QueryLexer = function (str) { + this.lexemes = [] + this.str = str + this.length = str.length + this.pos = 0 + this.start = 0 + this.escapeCharPositions = [] +} + +lunr.QueryLexer.prototype.run = function () { + var state = lunr.QueryLexer.lexText + + while (state) { + state = state(this) + } +} + +lunr.QueryLexer.prototype.sliceString = function () { + var subSlices = [], + sliceStart = this.start, + sliceEnd = this.pos + + for (var i = 0; i < this.escapeCharPositions.length; i++) { + sliceEnd = this.escapeCharPositions[i] + subSlices.push(this.str.slice(sliceStart, sliceEnd)) + sliceStart = sliceEnd + 1 + } + + subSlices.push(this.str.slice(sliceStart, this.pos)) + this.escapeCharPositions.length = 0 + + return subSlices.join('') +} + +lunr.QueryLexer.prototype.emit = function (type) { + this.lexemes.push({ + type: type, + str: this.sliceString(), + start: this.start, + end: this.pos + }) + + this.start = this.pos +} + +lunr.QueryLexer.prototype.escapeCharacter = function () { + this.escapeCharPositions.push(this.pos - 1) + this.pos += 1 +} + +lunr.QueryLexer.prototype.next = function () { + if (this.pos >= this.length) { + return lunr.QueryLexer.EOS + } + + var char = this.str.charAt(this.pos) + this.pos += 1 + return char +} + +lunr.QueryLexer.prototype.width = function () { + return this.pos - this.start +} + +lunr.QueryLexer.prototype.ignore = function () { + if (this.start == this.pos) { + this.pos += 1 + } + + this.start = this.pos +} + +lunr.QueryLexer.prototype.backup = function () { + this.pos -= 1 +} + +lunr.QueryLexer.prototype.acceptDigitRun = function () { + var char, charCode + + do { + char = this.next() + charCode = char.charCodeAt(0) + } while (charCode > 47 && charCode < 58) + + if (char != lunr.QueryLexer.EOS) { + this.backup() + } +} + +lunr.QueryLexer.prototype.more = function () { + return this.pos < this.length +} + +lunr.QueryLexer.EOS = 'EOS' +lunr.QueryLexer.FIELD = 'FIELD' +lunr.QueryLexer.TERM = 'TERM' +lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE' +lunr.QueryLexer.BOOST = 'BOOST' +lunr.QueryLexer.PRESENCE = 'PRESENCE' + +lunr.QueryLexer.lexField = function (lexer) { + lexer.backup() + lexer.emit(lunr.QueryLexer.FIELD) + lexer.ignore() + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexTerm = function (lexer) { + if (lexer.width() > 1) { + lexer.backup() + lexer.emit(lunr.QueryLexer.TERM) + } + + lexer.ignore() + + if (lexer.more()) { + return lunr.QueryLexer.lexText + } +} + +lunr.QueryLexer.lexEditDistance = function (lexer) { + lexer.ignore() + lexer.acceptDigitRun() + lexer.emit(lunr.QueryLexer.EDIT_DISTANCE) + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexBoost = function (lexer) { + lexer.ignore() + lexer.acceptDigitRun() + lexer.emit(lunr.QueryLexer.BOOST) + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexEOS = function (lexer) { + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } +} + +// This matches the separator used when tokenising fields +// within a document. These should match otherwise it is +// not possible to search for some tokens within a document. +// +// It is possible for the user to change the separator on the +// tokenizer so it _might_ clash with any other of the special +// characters already used within the search string, e.g. :. +// +// This means that it is possible to change the separator in +// such a way that makes some words unsearchable using a search +// string. +lunr.QueryLexer.termSeparator = lunr.tokenizer.separator + +lunr.QueryLexer.lexText = function (lexer) { + while (true) { + var char = lexer.next() + + if (char == lunr.QueryLexer.EOS) { + return lunr.QueryLexer.lexEOS + } + + // Escape character is '\' + if (char.charCodeAt(0) == 92) { + lexer.escapeCharacter() + continue + } + + if (char == ":") { + return lunr.QueryLexer.lexField + } + + if (char == "~") { + lexer.backup() + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } + return lunr.QueryLexer.lexEditDistance + } + + if (char == "^") { + lexer.backup() + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } + return lunr.QueryLexer.lexBoost + } + + // "+" indicates term presence is required + // checking for length to ensure that only + // leading "+" are considered + if (char == "+" && lexer.width() === 1) { + lexer.emit(lunr.QueryLexer.PRESENCE) + return lunr.QueryLexer.lexText + } + + // "-" indicates term presence is prohibited + // checking for length to ensure that only + // leading "-" are considered + if (char == "-" && lexer.width() === 1) { + lexer.emit(lunr.QueryLexer.PRESENCE) + return lunr.QueryLexer.lexText + } + + if (char.match(lunr.QueryLexer.termSeparator)) { + return lunr.QueryLexer.lexTerm + } + } +} + +lunr.QueryParser = function (str, query) { + this.lexer = new lunr.QueryLexer (str) + this.query = query + this.currentClause = {} + this.lexemeIdx = 0 +} + +lunr.QueryParser.prototype.parse = function () { + this.lexer.run() + this.lexemes = this.lexer.lexemes + + var state = lunr.QueryParser.parseClause + + while (state) { + state = state(this) + } + + return this.query +} + +lunr.QueryParser.prototype.peekLexeme = function () { + return this.lexemes[this.lexemeIdx] +} + +lunr.QueryParser.prototype.consumeLexeme = function () { + var lexeme = this.peekLexeme() + this.lexemeIdx += 1 + return lexeme +} + +lunr.QueryParser.prototype.nextClause = function () { + var completedClause = this.currentClause + this.query.clause(completedClause) + this.currentClause = {} +} + +lunr.QueryParser.parseClause = function (parser) { + var lexeme = parser.peekLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.type) { + case lunr.QueryLexer.PRESENCE: + return lunr.QueryParser.parsePresence + case lunr.QueryLexer.FIELD: + return lunr.QueryParser.parseField + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expected either a field or a term, found " + lexeme.type + + if (lexeme.str.length >= 1) { + errorMessage += " with value '" + lexeme.str + "'" + } + + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } +} + +lunr.QueryParser.parsePresence = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.str) { + case "-": + parser.currentClause.presence = lunr.Query.presence.PROHIBITED + break + case "+": + parser.currentClause.presence = lunr.Query.presence.REQUIRED + break + default: + var errorMessage = "unrecognised presence operator'" + lexeme.str + "'" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + var errorMessage = "expecting term or field, found nothing" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.FIELD: + return lunr.QueryParser.parseField + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseField = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + if (parser.query.allFields.indexOf(lexeme.str) == -1) { + var possibleFields = parser.query.allFields.map(function (f) { return "'" + f + "'" }).join(', '), + errorMessage = "unrecognised field '" + lexeme.str + "', possible fields: " + possibleFields + + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.fields = [lexeme.str] + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + var errorMessage = "expecting term, found nothing" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expecting term, found '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseTerm = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + parser.currentClause.term = lexeme.str.toLowerCase() + + if (lexeme.str.indexOf("*") != -1) { + parser.currentClause.usePipeline = false + } + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseEditDistance = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + var editDistance = parseInt(lexeme.str, 10) + + if (isNaN(editDistance)) { + var errorMessage = "edit distance must be numeric" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.editDistance = editDistance + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseBoost = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + var boost = parseInt(lexeme.str, 10) + + if (isNaN(boost)) { + var errorMessage = "boost must be numeric" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.boost = boost + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + + /** + * export the module via AMD, CommonJS or as a browser global + * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js + */ + ;(function (root, factory) { + if (typeof define === 'function' && define.amd) { + // AMD. Register as an anonymous module. + define(factory) + } else if (typeof exports === 'object') { + /** + * Node. Does not work with strict CommonJS, but + * only CommonJS-like enviroments that support module.exports, + * like Node. + */ + module.exports = factory() + } else { + // Browser globals (root is window) + root.lunr = factory() + } + }(this, function () { + /** + * Just return a value to define the module export. + * This example returns an object, but the module + * can return a function as the exported value. + */ + return lunr + })) +})(); diff --git a/supplemental_ui/js/vendor/search.js b/supplemental_ui/js/vendor/search.js new file mode 100644 index 000000000..b338f4f96 --- /dev/null +++ b/supplemental_ui/js/vendor/search.js @@ -0,0 +1,215 @@ +/* eslint-env browser */ +window.antoraLunr = (function (lunr) { + const scriptAttrs = document.getElementById('search-script').dataset + const basePath = scriptAttrs.basePath + const pagePath = scriptAttrs.pagePath + var searchInput = document.getElementById('search-input') + var searchResult = document.createElement('div') + searchResult.classList.add('search-result-dropdown-menu') + searchInput.parentNode.appendChild(searchResult) + + function highlightText (doc, position) { + var hits = [] + var start = position[0] + var length = position[1] + + var text = doc.text + var highlightSpan = document.createElement('span') + highlightSpan.classList.add('search-result-highlight') + highlightSpan.innerText = text.substr(start, length) + + var end = start + length + var textEnd = text.length - 1 + var contextOffset = 15 + var contextAfter = end + contextOffset > textEnd ? textEnd : end + contextOffset + var contextBefore = start - contextOffset < 0 ? 0 : start - contextOffset + if (start === 0 && end === textEnd) { + hits.push(highlightSpan) + } else if (start === 0) { + hits.push(highlightSpan) + hits.push(document.createTextNode(text.substr(end, contextAfter))) + } else if (end === textEnd) { + hits.push(document.createTextNode(text.substr(0, start))) + hits.push(highlightSpan) + } else { + hits.push(document.createTextNode('...' + text.substr(contextBefore, start - contextBefore))) + hits.push(highlightSpan) + hits.push(document.createTextNode(text.substr(end, contextAfter - end) + '...')) + } + return hits + } + + function highlightTitle (hash, doc, position) { + var hits = [] + var start = position[0] + var length = position[1] + + var highlightSpan = document.createElement('span') + highlightSpan.classList.add('search-result-highlight') + var title + if (hash) { + title = doc.titles.filter(function (item) { + return item.id === hash + })[0].text + } else { + title = doc.title + } + highlightSpan.innerText = title.substr(start, length) + + var end = start + length + var titleEnd = title.length - 1 + if (start === 0 && end === titleEnd) { + hits.push(highlightSpan) + } else if (start === 0) { + hits.push(highlightSpan) + hits.push(document.createTextNode(title.substr(length, titleEnd))) + } else if (end === titleEnd) { + hits.push(document.createTextNode(title.substr(0, start))) + hits.push(highlightSpan) + } else { + hits.push(document.createTextNode(title.substr(0, start))) + hits.push(highlightSpan) + hits.push(document.createTextNode(title.substr(end, titleEnd))) + } + return hits + } + + function highlightHit (metadata, hash, doc) { + var hits = [] + for (var token in metadata) { + var fields = metadata[token] + for (var field in fields) { + var positions = fields[field] + if (positions.position) { + var position = positions.position[0] // only higlight the first match + if (field === 'title') { + hits = highlightTitle(hash, doc, position) + } else if (field === 'text') { + hits = highlightText(doc, position) + } + } + } + } + return hits + } + + function createSearchResult(result, store, searchResultDataset) { + result.forEach(function (item) { + var url = item.ref + var hash + if (url.includes('#')) { + hash = url.substring(url.indexOf('#') + 1) + url = url.replace('#' + hash, '') + } + var doc = store[url] + var metadata = item.matchData.metadata + var hits = highlightHit(metadata, hash, doc) + searchResultDataset.appendChild(createSearchResultItem(doc, item, hits)) + }) + } + + function createSearchResultItem (doc, item, hits) { + var documentTitle = document.createElement('div') + documentTitle.classList.add('search-result-document-title') + documentTitle.innerText = doc.title + var documentHit = document.createElement('div') + documentHit.classList.add('search-result-document-hit') + var documentHitLink = document.createElement('a') + var rootPath = basePath + documentHitLink.href = rootPath + item.ref + documentHit.appendChild(documentHitLink) + hits.forEach(function (hit) { + documentHitLink.appendChild(hit) + }) + var searchResultItem = document.createElement('div') + searchResultItem.classList.add('search-result-item') + searchResultItem.appendChild(documentTitle) + searchResultItem.appendChild(documentHit) + searchResultItem.addEventListener('mousedown', function (e) { + e.preventDefault() + }) + return searchResultItem + } + + function createNoResult (text) { + var searchResultItem = document.createElement('div') + searchResultItem.classList.add('search-result-item') + var documentHit = document.createElement('div') + documentHit.classList.add('search-result-document-hit') + var message = document.createElement('strong') + message.innerText = 'No results found for query "' + text + '"' + documentHit.appendChild(message) + searchResultItem.appendChild(documentHit) + return searchResultItem + } + + function search (index, text) { + // execute an exact match search + var result = index.search(text) + if (result.length > 0) { + return result + } + // no result, use a begins with search + result = index.search(text + '*') + if (result.length > 0) { + return result + } + // no result, use a contains search + result = index.search('*' + text + '*') + return result + } + + function searchIndex (index, store, text) { + // reset search result + while (searchResult.firstChild) { + searchResult.removeChild(searchResult.firstChild) + } + if (text.trim() === '') { + return + } + var result = search(index, text) + var searchResultDataset = document.createElement('div') + searchResultDataset.classList.add('search-result-dataset') + searchResult.appendChild(searchResultDataset) + if (result.length > 0) { + createSearchResult(result, store, searchResultDataset) + } else { + searchResultDataset.appendChild(createNoResult(text)) + } + } + + function debounce (func, wait, immediate) { + var timeout + return function () { + var context = this + var args = arguments + var later = function () { + timeout = null + if (!immediate) func.apply(context, args) + } + var callNow = immediate && !timeout + clearTimeout(timeout) + timeout = setTimeout(later, wait) + if (callNow) func.apply(context, args) + } + } + + function init (data) { + var index = Object.assign({index: lunr.Index.load(data.index), store: data.store}) + var search = debounce(function () { + searchIndex(index.index, index.store, searchInput.value) + }, 100) + searchInput.addEventListener('keydown', search) + + // this is prevented in case of mousedown attached to SearchResultItem + searchInput.addEventListener('blur', function (e) { + while (searchResult.firstChild) { + searchResult.removeChild(searchResult.firstChild) + } + }) + } + + return { + init: init, + } +})(window.lunr) diff --git a/supplemental_ui/partials/footer-scripts.hbs b/supplemental_ui/partials/footer-scripts.hbs new file mode 100644 index 000000000..9af969f26 --- /dev/null +++ b/supplemental_ui/partials/footer-scripts.hbs @@ -0,0 +1,7 @@ + +{{#if (eq env.DOCSEARCH_ENGINE 'lunr')}} + + + +{{/if}} + diff --git a/supplemental_ui/partials/head-meta.hbs b/supplemental_ui/partials/head-meta.hbs new file mode 100644 index 000000000..c9883c2ba --- /dev/null +++ b/supplemental_ui/partials/head-meta.hbs @@ -0,0 +1 @@ + diff --git a/sven-antora-playbook.yml b/sven-antora-playbook.yml index 1401dcb50..7ce2e0e09 100644 --- a/sven-antora-playbook.yml +++ b/sven-antora-playbook.yml @@ -1,6 +1,7 @@ site: title: Stackable Documentation - url: https://docs.stackable.tech + url: https://stackackable.svenpetersen.net + #url: http://localhost:5000 start_page: home::index.adoc robots: allow @@ -37,11 +38,11 @@ ui: bundle: url: ../stackable-documentation-ui/build/ui-bundle.zip snapshot: true - supplemental_files: - - path: ui.yml - contents: | - static_files: [ .nojekyll ] - - path: .nojekyll + supplemental_files: ./supplemental_ui +# - path: ui.yml +# contents: | +# static_files: [ .nojekyll ] +# - path: .nojekyll asciidoc: attributes: From b782d25fdacc5a8792ce92288cfa1d5a01ef0c2a Mon Sep 17 00:00:00 2001 From: Sven Petersen Date: Fri, 11 Feb 2022 13:22:26 +0100 Subject: [PATCH 03/12] custom playbook changes for testing --- sven-antora-playbook.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/sven-antora-playbook.yml b/sven-antora-playbook.yml index 7ce2e0e09..80572ff05 100644 --- a/sven-antora-playbook.yml +++ b/sven-antora-playbook.yml @@ -1,8 +1,8 @@ site: title: Stackable Documentation - url: https://stackackable.svenpetersen.net - #url: http://localhost:5000 - start_page: home::index.adoc + #url: https://stackackable.svenpetersen.net + url: http://localhost:5000 + #start_page: home::index.adoc robots: allow content: From bffdd5ffe060c3dc83e7ad9d24228176674ca143 Mon Sep 17 00:00:00 2001 From: Sven Petersen Date: Mon, 21 Feb 2022 10:52:45 +0100 Subject: [PATCH 04/12] custom start page --- generate_site.sh | 2 +- modules/ROOT/pages/index.adoc | 160 ++++++++++++++++++++++++++---- modules/ROOT/pages/index_old.adoc | 56 +++++++++++ sven-antora-playbook.yml | 4 +- 4 files changed, 199 insertions(+), 23 deletions(-) create mode 100644 modules/ROOT/pages/index_old.adoc diff --git a/generate_site.sh b/generate_site.sh index 89a30cbcb..6e52f63d8 100755 --- a/generate_site.sh +++ b/generate_site.sh @@ -1,3 +1,3 @@ #! /bin/bash -DOCSEARCH_ENABLED=true DOCSEARCH_ENGINE=lunr antora sven-antora-playbook.yml +DOCSEARCH_ENABLED=true DOCSEARCH_ENGINE=lunr antora --fetch sven-antora-playbook.yml touch build/site/.nojekyll \ No newline at end of file diff --git a/modules/ROOT/pages/index.adoc b/modules/ROOT/pages/index.adoc index 1e0b89fb4..63a475de9 100644 --- a/modules/ROOT/pages/index.adoc +++ b/modules/ROOT/pages/index.adoc @@ -1,19 +1,46 @@ = Stackable Documentation +:page-layout: landing + Welcome to Stackable! This documentation gives you an overview of our platform, how to install and manage it as well as some tutorials. -If you have any feedback regarding the documentation please either open an https://github.com/stackabletech/documentation/issues[issue], ask a https://github.com/stackabletech/documentation/discussions[question] or look at the source for this documentation in its https://github.com/stackabletech/documentation[repository]. +++++ +
+++++ + +++++ +
+++++ + +++++ +
+++++ + +++++ +

Introduction

+++++ -== Introduction +If you have any feedback regarding the documentation please either open an https://github.com/stackabletech/documentation/issues[issue], ask a https://github.com/stackabletech/documentation/discussions[question] or look at the source for this documentation in its https://github.com/stackabletech/documentation[repository]. Our Stackable platform allows you to deploy, scale and manage Big Data infrastructure in any environment as long as it can run https://kubernetes.io/[Kubernetes]. + IMPORTANT: Our platform used to be based on a different architecture (until November 2021) where we built an alternative Kubelet. We abandoned that effort for now and are moving towards a Kubernetes-native experience using the normal `kubelet`. This is an ongoing effort and the documentation might not reflect reality everywhere. We aim to update our platform as well as the documentation by the end of 2021 and will remove this note when the migration has completed. -== Goal of the project +++++ +
+++++ + +++++ +
+++++ + +++++ +

Goal of the project

+++++ We are building a distribution of existing Open Source tools that together comprise the components of a modern data platform. @@ -26,31 +53,124 @@ We are leveraging the https://www.openpolicyagent.org/[OpenPolicyAgent] to provi We are building a distribution that includes the “best of breed” of existing Open Source tools, but bundles them in a way, so it is easy to deploy a fully working stack of software. Most of the existing tools are “single purpose” tools, which often do not play nicely together out-of-the-box. +++++ +
+++++ + +++++ +
+++++ + == Components We are using Kubernetes as our deployment platform. And we're building https://kubernetes.io/docs/concepts/extend-kubernetes/operator/[Operators] for each of the products we support. - At the moment we support the following products (i.e. we have operators for each of those): -- https://druid.apache.org[Apache Druid] -- https://hbase.apache.org[Apache HBase] -- https://hadoop.apache.org[Apache Hadoop HDFS] -- https://hive.apache.org[Apache Hive Metastore] -- https://kafka.apache.org[Apache Kafka] -- https://nifi.apache.org[Apache NiFi] -- https://spark.apache.org[Apache Spark] -- https://superset.apache.org[Apache Superset] -- https://trino.io[Trino] -- https://zookeeper.apache.org[Apache ZooKeeper] +++++ +
+++++ + +++++ +
+++++ + +++++ +
+++++ + +++++ +

Kafka Operator

+++++ + +Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. + +link:/kafka/index.html[Read more] + +++++ +
+++++ + +++++ +
+++++ + +++++ +

Spark Operator

+++++ + +Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. + +link:/spark/index.html[Read more] + +++++ +
+++++ + +++++ +
+++++ + +++++ +

Trino Operator

+++++ + +Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. + +link:/trino/index.html[Read more] + +++++ +
+++++ + +++++ +
+++++ + +++++ +

Zookeeper Operator

+++++ + +Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. + +link:/zookeeper/index.html[Read more] + +++++ +
+++++ + +++++ +
+++++ + +++++ +

NiFi Operator

+++++ + +Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. + +link:/nifi/index.html[Read more] + +++++ +
+++++ + +++++ +
+++++ -We are working on a feature matrix, so you can see which features we support for each of these products. +++++ +

Superset Operator

+++++ -== Supported Kubernetes Versions +Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. -The Kubernetes project maintains release branches for the latest three versions, we follow this approach and also support the latest three kubernetes versions which are, at the moment: +link:/superset/index.html[Read more] -include::partial$supported-kubernetes-versions.adoc[] +++++ +
+++++ -== Getting Started -Stackable provides a tutorial xref:getting_started.adoc[], which outlines how to deploy a Stackable cluster and the supported infrastructure. There is also a quickstart shell script in the https://github.com/stackabletech/stackable-utils[stackable-utils] GitHub repository that will quickly bootstrap an example cluster. +++++ +
+++++ diff --git a/modules/ROOT/pages/index_old.adoc b/modules/ROOT/pages/index_old.adoc new file mode 100644 index 000000000..1e0b89fb4 --- /dev/null +++ b/modules/ROOT/pages/index_old.adoc @@ -0,0 +1,56 @@ += Stackable Documentation + +Welcome to Stackable! +This documentation gives you an overview of our platform, how to install and manage it as well as some tutorials. + +If you have any feedback regarding the documentation please either open an https://github.com/stackabletech/documentation/issues[issue], ask a https://github.com/stackabletech/documentation/discussions[question] or look at the source for this documentation in its https://github.com/stackabletech/documentation[repository]. + +== Introduction + +Our Stackable platform allows you to deploy, scale and manage Big Data infrastructure in any environment as long as it can run https://kubernetes.io/[Kubernetes]. + +IMPORTANT: Our platform used to be based on a different architecture (until November 2021) where we built an alternative Kubelet. We abandoned that effort for now and are moving towards a Kubernetes-native experience using the normal `kubelet`. +This is an ongoing effort and the documentation might not reflect reality everywhere. +We aim to update our platform as well as the documentation by the end of 2021 and will remove this note when the migration has completed. + +== Goal of the project + +We are building a distribution of existing Open Source tools that together comprise the components of a modern data platform. + +There are components to ingest data, to store data, to process and visualize and much more. +While the platform got started in the _Big Data_ ecosystem we are in no way limited to big data workloads. + +You can declaratively build these environments, and we don't stop at the tool level as we also provide ways for the users to interact with the platform in the "as Code"-approach. + +We are leveraging the https://www.openpolicyagent.org/[OpenPolicyAgent] to provide Authorization-as-Code. + +We are building a distribution that includes the “best of breed” of existing Open Source tools, but bundles them in a way, so it is easy to deploy a fully working stack of software. Most of the existing tools are “single purpose” tools, which often do not play nicely together out-of-the-box. + +== Components + +We are using Kubernetes as our deployment platform. +And we're building https://kubernetes.io/docs/concepts/extend-kubernetes/operator/[Operators] for each of the products we support. + +At the moment we support the following products (i.e. we have operators for each of those): + +- https://druid.apache.org[Apache Druid] +- https://hbase.apache.org[Apache HBase] +- https://hadoop.apache.org[Apache Hadoop HDFS] +- https://hive.apache.org[Apache Hive Metastore] +- https://kafka.apache.org[Apache Kafka] +- https://nifi.apache.org[Apache NiFi] +- https://spark.apache.org[Apache Spark] +- https://superset.apache.org[Apache Superset] +- https://trino.io[Trino] +- https://zookeeper.apache.org[Apache ZooKeeper] + +We are working on a feature matrix, so you can see which features we support for each of these products. + +== Supported Kubernetes Versions + +The Kubernetes project maintains release branches for the latest three versions, we follow this approach and also support the latest three kubernetes versions which are, at the moment: + +include::partial$supported-kubernetes-versions.adoc[] + +== Getting Started +Stackable provides a tutorial xref:getting_started.adoc[], which outlines how to deploy a Stackable cluster and the supported infrastructure. There is also a quickstart shell script in the https://github.com/stackabletech/stackable-utils[stackable-utils] GitHub repository that will quickly bootstrap an example cluster. diff --git a/sven-antora-playbook.yml b/sven-antora-playbook.yml index 80572ff05..c530b32c6 100644 --- a/sven-antora-playbook.yml +++ b/sven-antora-playbook.yml @@ -10,8 +10,8 @@ content: - url: https://github.com/stackabletech/agent.git branches: main start_path: docs - - url: https://github.com/stackabletech/documentation.git - branches: main + - url: ./ + branches: HEAD - url: https://github.com/stackabletech/kafka-operator.git branches: main start_path: docs From c4ba43062d7018a6f0fd112e7440e975de346b0e Mon Sep 17 00:00:00 2001 From: Sven Petersen Date: Mon, 21 Feb 2022 15:05:44 +0100 Subject: [PATCH 05/12] removed nojekyll config --- antora-playbook.yml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/antora-playbook.yml b/antora-playbook.yml index 58e658239..e6938abac 100644 --- a/antora-playbook.yml +++ b/antora-playbook.yml @@ -1,7 +1,7 @@ site: title: Stackable Documentation url: https://docs.stackable.tech - start_page: home::index.adoc + #start_page: home::index.adoc robots: allow content: @@ -50,11 +50,11 @@ ui: bundle: url: https://repo.stackable.tech/repository/misc/ui-bundle.zip snapshot: true - supplemental_files: - - path: ui.yml - contents: | - static_files: [ .nojekyll ] - - path: .nojekyll + supplemental_files: ./supplemental_ui +# - path: ui.yml +# contents: | +# static_files: [ .nojekyll ] +# - path: .nojekyll asciidoc: attributes: From 4713244d3a9df1d4bc87b76a6039863544148805 Mon Sep 17 00:00:00 2001 From: Lars Francke Date: Thu, 24 Feb 2022 16:47:18 +0100 Subject: [PATCH 06/12] Various updates - Move to Antora 3 - Include Search - Remove maturity level stuff --- .github/workflows/build.yml | 8 +- antora-playbook.yml | 20 +- build_maturity_level_docs.py | 38 - generate_site.sh | 6 +- gitpod-antora-playbook.yml | 15 +- local-antora-playbook.yml | 18 +- maturity_levels/components.csv | 35 - .../templates/apache_hadoop_hdfs.j2 | 54 - .../templates/apache_hadoop_yarn.j2 | 33 - maturity_levels/templates/apache_kafka.j2 | 31 - maturity_levels/templates/apache_nifi.j2 | 30 - maturity_levels/templates/apache_spark.j2 | 33 - maturity_levels/templates/apache_zookeeper.j2 | 32 - maturity_levels/templates/opa.j2 | 30 - maturity_levels/templates/rego.j2 | 31 - .../drafts => }/images/adr7-architecture.png | Bin .../adr/ADR007-defined_reuse_of_k8s.adoc | 2 +- modules/contributor/partials/adr-nav.adoc | 26 +- modules/maturity_levels/nav.adoc | 16 - .../pages/operators/apache_hadoop_hdfs.adoc | 55 - .../pages/operators/apache_hadoop_yarn.adoc | 31 - .../pages/operators/apache_kafka.adoc | 29 - .../pages/operators/apache_nifi.adoc | 28 - .../pages/operators/apache_spark.adoc | 31 - .../pages/operators/apache_zookeeper.adoc | 27 - .../maturity_levels/pages/operators/opa.adoc | 25 - .../operators/operator_maturity_levels.adoc | 67 - .../maturity_levels/pages/operators/rego.adoc | 26 - .../maturity_levels/pages/platform/ML1.adoc | 74 - .../maturity_levels/pages/platform/ML2.adoc | 50 - .../maturity_levels/pages/platform/ML3.adoc | 52 - .../maturity_levels/pages/platform/ML4.adoc | 49 - .../maturity_levels/pages/platform/ML5.adoc | 35 - .../platform/platform_maturity_levels.adoc | 8 - modules/operator_roadmap/nav.adoc | 2 - .../pages/operator_roadmap.adoc | 259 - package-lock.json | 7284 +++++++++-------- package.json | 9 + supplemental_ui/js/vendor/lunr.js | 3475 -------- supplemental_ui/js/vendor/search.js | 215 - supplemental_ui/partials/footer-scripts.hbs | 7 - supplemental_ui/partials/head-meta.hbs | 1 - sven-antora-playbook.yml | 49 - 43 files changed, 3750 insertions(+), 8596 deletions(-) delete mode 100644 build_maturity_level_docs.py delete mode 100644 maturity_levels/components.csv delete mode 100644 maturity_levels/templates/apache_hadoop_hdfs.j2 delete mode 100644 maturity_levels/templates/apache_hadoop_yarn.j2 delete mode 100644 maturity_levels/templates/apache_kafka.j2 delete mode 100644 maturity_levels/templates/apache_nifi.j2 delete mode 100644 maturity_levels/templates/apache_spark.j2 delete mode 100644 maturity_levels/templates/apache_zookeeper.j2 delete mode 100644 maturity_levels/templates/opa.j2 delete mode 100644 maturity_levels/templates/rego.j2 rename modules/contributor/{pages/adr/drafts => }/images/adr7-architecture.png (100%) delete mode 100644 modules/maturity_levels/nav.adoc delete mode 100644 modules/maturity_levels/pages/operators/apache_hadoop_hdfs.adoc delete mode 100644 modules/maturity_levels/pages/operators/apache_hadoop_yarn.adoc delete mode 100644 modules/maturity_levels/pages/operators/apache_kafka.adoc delete mode 100644 modules/maturity_levels/pages/operators/apache_nifi.adoc delete mode 100644 modules/maturity_levels/pages/operators/apache_spark.adoc delete mode 100644 modules/maturity_levels/pages/operators/apache_zookeeper.adoc delete mode 100644 modules/maturity_levels/pages/operators/opa.adoc delete mode 100644 modules/maturity_levels/pages/operators/operator_maturity_levels.adoc delete mode 100644 modules/maturity_levels/pages/operators/rego.adoc delete mode 100644 modules/maturity_levels/pages/platform/ML1.adoc delete mode 100644 modules/maturity_levels/pages/platform/ML2.adoc delete mode 100644 modules/maturity_levels/pages/platform/ML3.adoc delete mode 100644 modules/maturity_levels/pages/platform/ML4.adoc delete mode 100644 modules/maturity_levels/pages/platform/ML5.adoc delete mode 100644 modules/maturity_levels/pages/platform/platform_maturity_levels.adoc delete mode 100644 modules/operator_roadmap/nav.adoc delete mode 100644 modules/operator_roadmap/pages/operator_roadmap.adoc create mode 100644 package.json delete mode 100644 supplemental_ui/js/vendor/lunr.js delete mode 100644 supplemental_ui/js/vendor/search.js delete mode 100644 supplemental_ui/partials/footer-scripts.hbs delete mode 100644 supplemental_ui/partials/head-meta.hbs delete mode 100644 sven-antora-playbook.yml diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index d5d738d33..7dd28a881 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -12,7 +12,9 @@ jobs: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2.4.0 - - name: "Generate site using Antora site action" - uses: kameshsampath/antora-site-action@v0.2.4 + - uses: actions/setup-node@v2 with: - antora_playbook: antora-playbook.yml + node-version: '16' + cache: 'npm' + - run: npm install + - run: npx antora --fetch antora-playbook.yml diff --git a/antora-playbook.yml b/antora-playbook.yml index e6938abac..5eb51c4d4 100644 --- a/antora-playbook.yml +++ b/antora-playbook.yml @@ -1,7 +1,7 @@ +--- site: title: Stackable Documentation url: https://docs.stackable.tech - #start_page: home::index.adoc robots: allow content: @@ -48,13 +48,19 @@ content: ui: bundle: - url: https://repo.stackable.tech/repository/misc/ui-bundle.zip + url: https://repo.stackable.tech/repository/misc/antora-ui-bundle.zip snapshot: true - supplemental_files: ./supplemental_ui -# - path: ui.yml -# contents: | -# static_files: [ .nojekyll ] -# - path: .nojekyll + supplemental_files: + - path: ./node_modules/@antora/lunr-extension/supplemental_ui + - path: ui.yml + contents: | + static_files: + - .nojekyll + - path: .nojekyll + +antora: + extensions: + - '@antora/lunr-extension' asciidoc: attributes: diff --git a/build_maturity_level_docs.py b/build_maturity_level_docs.py deleted file mode 100644 index da41476d7..000000000 --- a/build_maturity_level_docs.py +++ /dev/null @@ -1,38 +0,0 @@ -import pandas as pd -from jinja2 import Environment, PackageLoader, select_autoescape, TemplateNotFound - - -maturity = { - "0": "Level 0 - Operator Candidate", - "1": "Level 1 - Basic Install", - "2": "Level 2 - Seamless Upgrades", - "3": "Level 3 - Full Lifecycle", - "4": "Level 4 - Deep Insights", - "5": "Level 5 - Auto Pilot" -} - - -def main(): - env = Environment( - loader=PackageLoader("maturity_levels"), - autoescape=select_autoescape() - ) - - df = pd.read_csv("maturity_levels/components.csv") - for index, row in df.iterrows(): - # service = row['Component'].lower().replace(" ", "_").replace("/", "_") - service = row['Component'] - filename = service + ".adoc" - template = service + ".j2" - - try: - t = env.get_template(template) - print(filename) - with open("modules/maturity_levels/pages/operators/" + filename, "w") as f: - f.write(t.render(row.to_dict())) - except TemplateNotFound: - print("No template " + template + " found.") - - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/generate_site.sh b/generate_site.sh index 6e52f63d8..792f11f83 100755 --- a/generate_site.sh +++ b/generate_site.sh @@ -1,3 +1,3 @@ -#! /bin/bash -DOCSEARCH_ENABLED=true DOCSEARCH_ENGINE=lunr antora --fetch sven-antora-playbook.yml -touch build/site/.nojekyll \ No newline at end of file +#!/usr/bin/env bash + +npx antora --fetch $1 diff --git a/gitpod-antora-playbook.yml b/gitpod-antora-playbook.yml index ddb2eaf34..df33ca0c7 100644 --- a/gitpod-antora-playbook.yml +++ b/gitpod-antora-playbook.yml @@ -1,3 +1,4 @@ +--- site: title: Stackable Documentation url: https://docs.stackable.tech @@ -51,10 +52,16 @@ ui: url: https://repo.stackable.tech/repository/misc/ui-bundle.zip snapshot: true supplemental_files: - - path: ui.yml - contents: | - static_files: [ .nojekyll ] - - path: .nojekyll + - path: ./node_modules/@antora/lunr-extension/supplemental_ui + - path: ui.yml + contents: | + static_files: + - .nojekyll + - path: .nojekyll + +antora: + extensions: + - '@antora/lunr-extension' asciidoc: attributes: diff --git a/local-antora-playbook.yml b/local-antora-playbook.yml index 423ff06e2..0ab86ba24 100644 --- a/local-antora-playbook.yml +++ b/local-antora-playbook.yml @@ -1,7 +1,7 @@ +--- site: title: Stackable Documentation url: https://docs.stackable.tech - start_page: home::index.adoc robots: allow content: @@ -48,13 +48,19 @@ content: ui: bundle: - url: https://repo.stackable.tech/repository/misc/ui-bundle.zip + url: ../documentation-ui/build/ui-bundle.zip snapshot: true supplemental_files: - - path: ui.yml - contents: | - static_files: [ .nojekyll ] - - path: .nojekyll + - path: ./node_modules/@antora/lunr-extension/supplemental_ui + - path: ui.yml + contents: | + static_files: + - .nojekyll + - path: .nojekyll + +antora: + extensions: + - '@antora/lunr-extension' asciidoc: attributes: diff --git a/maturity_levels/components.csv b/maturity_levels/components.csv deleted file mode 100644 index e1fc3f353..000000000 --- a/maturity_levels/components.csv +++ /dev/null @@ -1,35 +0,0 @@ -Component,DisplayName,Author,Version,Date,Priority,Maturity,Status,Category,Description,Customers,Dependencies,OPAIntegration,StackableRepo,Link -apache_kafka,Apache Kafka,Jim Halfpenny ,0.1,26.05.2021,1,1,In development,Streaming,,IONOS,"Apache ZooKeeper",,https://github.com/stackabletech/kafka-operator,https://kafka.apache.org/ -apache_nifi,Apache NiFi,Jim Halfpenny ,0.1,26.05.2021,1,1,In development,Data In Motion,,,"Apache ZooKeeper",,https://github.com/stackabletech/nifi-operator,https://nifi.apache.org/ -apache_nifi_registry,Apache NiFi Registry,Jim Halfpenny ,0.1,26.05.2021,1,1,Roadmap,Data In Motion,,,,,https://github.com/stackabletech/nifi-registry-operator,https://nifi.apache.org/registry.html -apache_spark,Apache Spark,Jim Halfpenny ,0.1,26.05.2021,1,1,In development,Data Processing,,IONOS,"Apache ZooKeeper",,https://github.com/stackabletech/spark-operator,https://spark.apache.org/ -apache_zookeeper,Apache ZooKeeper,Jim Halfpenny ,0.1,26.05.2021,1,1,In development,Configuration Management,Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.,IONOS,"",,https://github.com/stackabletech/zookeeper-operator,https://zookeeper.apache.org/ -opa,Open Policy Agent (OPA),Jim Halfpenny ,0.1,26.05.2021,1,1,In development,Security Policy,,,,,https://github.com/stackabletech/opa-operator,https://www.openpolicyagent.org/ -rego,OPA Rego Rule,Jim Halfpenny ,0.1,26.05.2021,1,1,In development,Security Policy,,,,,https://github.com/stackabletech/rego-operator,https://www.openpolicyagent.org/docs/latest/#rego -apache_druid,Apache Druid,Jim Halfpenny ,0,26.05.2021,2,0,Roadmap,Streams Processing,,IONOS,,,,https://druid.apache.org/ -apache_hadoop_hdfs,Apache Hadoop HDFS,Jim Halfpenny ,0,26.05.2021,1,0,Roadmap,Storage,,IONOS,,,https://github.com/stackabletech/hdfs-operator,https://hadoop.apache.org/ -apache_hadoop_yarn,Apache Hadoop YARN,Jim Halfpenny ,0,26.05.2021,1,0,Roadmap,Storage,,IONOS,"Apache ZooKeeper",,https://github.com/stackabletech/yarn-operator,https://hadoop.apache.org/ -apache_hbase,Apache HBase,Jim Halfpenny ,0,26.05.2021,2,0,Roadmap,Operational Database,,,,,,https://hbase.apache.org/ -apache_hive,Apache Hive,Jim Halfpenny ,0,26.05.2021,1,0,Roadmap,SQL Engine,,,"RDBMS",,,https://hive.apache.org/ -apache_impala,Apache Impala,Jim Halfpenny ,0,26.05.2021,1,0,Roadmap,SQL Engine,,,,,,https://impala.apache.org/ -apache_oozie,Apache Oozie,Jim Halfpenny ,0,26.05.2021,1,0,Roadmap,Workload Management,,,"RDBMS",,,https://oozie.apache.org/ -apache_sqoop,Apache Sqoop,Jim Halfpenny ,0,26.05.2021,2,0,Roadmap,Data In Motion,,,,,,https://sqoop.apache.org/ -apache_superset,Apache Superset,Jim Halfpenny ,0,26.05.2021,2,0,Roadmap,Data Visualisation,,IONOS,,,,https://superset.apache.org/ -apache_tez,Apache Tez,Jim Halfpenny ,0,26.05.2021,2,0,Roadmap,Data Processing,,,,,,https://tez.apache.org/ -hue,Hue,Jim Halfpenny ,0,26.05.2021,2,0,Roadmap,Data Visualisation,,,,,,https://gethue.com/ -apache_airflow,Apache Airflow,Jim Halfpenny ,0,26.05.2021,2,0,Roadmap,Workflow Management,,IONOS,,,,https://airflow.apache.org/ -apache_flink,Apache Flink,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,Stream Processing,,,"Apache Hadoop",,,https://flink.apache.org/ -apache_flume,Apache Flume,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,Data In Motion,,,,,,https://flume.apache.org/ -apache_iotdb,Apache IoTDB,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,NoSQL Database,,,,,,https://iotdb.apache.org/ -apache_livy,Apache Livy,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,Data Processing,,,,,,https://livy.apache.org/ -apache_solr,Apache Solr,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,Search,,,,,,https://solr.apache.org/ -apache_phoenix,Apache Phoenix,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,SQL Engine,,,"Apache HBase",,,https://phoenix.apache.org/ -apache_zeppelin,Apache Zeppelin,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,Data Visualisation,,,,,,https://zeppelin.apache.org/ -opensearch,OpenSearch,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,Search,,,,,,https://www.opensearch.org/ -trino,Presto/Trino,Jim Halfpenny ,0,26.05.2021,3,0,Roadmap,SQL Engine,,IONOS,,,,https://trino.io/ -apache_atlas,Apache Atlas,Jim Halfpenny ,0,26.05.2021,4,0,Roadmap,Data Governance,,,,,,https://atlas.apache.org/ -apache_knox,Apache Knox,Jim Halfpenny ,0,26.05.2021,4,0,Roadmap,Security,,,,,,https://knox.apache.org/ -apache_kudu,Apache Kudu,Jim Halfpenny ,0,26.05.2021,4,0,Roadmap,Storage,,,,,,https://kudu.apache.org/ -apache_ozone,Apache Ozone,Jim Halfpenny ,0,26.05.2021,4,0,Roadmap,Storage,,,,,,https://ozone.apache.org/ -elasticsearch,ElasticSearch,Jim Halfpenny ,0,26.05.2021,4,0,Roadmap,Search,,,,,,https://www.elastic.co/ -mongodb,MongoDB,Jim Halfpenny ,0,26.05.2021,4,0,Roadmap,NoSQL Database,,,,,,https://www.mongodb.com/ \ No newline at end of file diff --git a/maturity_levels/templates/apache_hadoop_hdfs.j2 b/maturity_levels/templates/apache_hadoop_hdfs.j2 deleted file mode 100644 index f5fe89ed3..000000000 --- a/maturity_levels/templates/apache_hadoop_hdfs.j2 +++ /dev/null @@ -1,54 +0,0 @@ -= {{ DisplayName }} -{{ Author }} -{{ Version }}, {{ Date }} -:latest_version: {{ Version }} -:toc: -:icons: font - -Apache Hadoop HDFS is a distributed file system that provides high-throughput access to application data. - -== Overview -This operator deploys and managed all of the HDFS roles including; -* NameNode -* DataNode -* JournalNode - -== Operator Status -* *Category:* {{ Category }} -* *Maturity level:* {{ Maturity }} -* *Version:* {{ Version }} -* *Development status:* {{ Status }} -* *Stackable repo:* {{ StackableRepo }} -* *Website:* {{ Link }} - -== Operator Dependencies -{% if Dependencies is not number %} -{% set deps = Dependencies.split(",") %} -{% for dep in deps %} -* {{ dep }} -{% endfor %} -{% else %} -None -{% endif %} - -== Operator Features -Automated deployment -Starting and stopping services -Wire encryption -OPA authorisation -Seamless upgrades -Advanced monitoring - - -From Charmhum -Detailed documentation -Guaranteed getting started -Secrets management -Implements sidecar pattern -Seamless upgrades -Unit testing -High availability - - - - diff --git a/maturity_levels/templates/apache_hadoop_yarn.j2 b/maturity_levels/templates/apache_hadoop_yarn.j2 deleted file mode 100644 index e21d971fd..000000000 --- a/maturity_levels/templates/apache_hadoop_yarn.j2 +++ /dev/null @@ -1,33 +0,0 @@ -= {{ DisplayName }} -{{ Author }} -{{ Version }}, {{ Date }} -:latest_version: {{ Version }} -:toc: -:icons: font - - -Apache Hadoop YARN is a framework for job scheduling and cluster resource management. - -== Operator Status -* *Category:* {{ Category }} -* *Maturity level:* {{ Maturity }} -* *Version:* {{ Version }} -* *Development status:* {{ Status }} -* *Stackable repo:* {{ StackableRepo }} -* *Website:* {{ Link }} - -== Operator Dependencies -{% if Dependencies is not number %} -{% set deps = Dependencies.split(",") %} -{% for dep in deps %} -* {{ dep }} -{% endfor %} -{% else %} -None -{% endif %} - -== Operator Features -* Deploy and manage HDFS roles -** ResourceManager -** NodeManager -** YARN History Server diff --git a/maturity_levels/templates/apache_kafka.j2 b/maturity_levels/templates/apache_kafka.j2 deleted file mode 100644 index cf3f7adae..000000000 --- a/maturity_levels/templates/apache_kafka.j2 +++ /dev/null @@ -1,31 +0,0 @@ -= {{ DisplayName }} -{{ Author }} -{{ Version }}, {{ Date }} -:latest_version: {{ Version }} -:toc: -:icons: font - - -Apache Kafka is an open-source distributed event streaming platform. - -== Operator Status -* *Category:* {{ Category }} -* *Maturity level:* {{ Maturity }} -* *Version:* {{ Version }} -* *Development status:* {{ Status }} -* *Stackable repo:* {{ StackableRepo }} -* *Website:* {{ Link }} - -== Operator Dependencies -{% if Dependencies is not number %} -{% set deps = Dependencies.split(",") %} -{% for dep in deps %} -* {{ dep }} -{% endfor %} -{% else %} -None -{% endif %} - -== Operator Features -* Deployment of Kafka brokers -* Support for authorisation using OPA diff --git a/maturity_levels/templates/apache_nifi.j2 b/maturity_levels/templates/apache_nifi.j2 deleted file mode 100644 index 9eba811de..000000000 --- a/maturity_levels/templates/apache_nifi.j2 +++ /dev/null @@ -1,30 +0,0 @@ -= {{ DisplayName }} -{{ Author }} -{{ Version }}, {{ Date }} -:latest_version: {{ Version }} -:toc: -:icons: font - -Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. - -== Operator Status -* *Category:* {{ Category }} -* *Maturity level:* {{ Maturity }} -* *Version:* {{ Version }} -* *Development status:* {{ Status }} -* *Stackable repo:* {{ StackableRepo }} -* *Website:* {{ Link }} - -== Operator Dependencies -{% set Dependencies = Dependencies|string %} -{% if Dependencies != "nan" %} -{% set deps = Dependencies.split(",") %} -{% for dep in deps %} -* {{ dep }} -{% endfor %} -{% else %} -None -{% endif %} - -== Operator Features -* Deploy Apache NiFi, either standalone or as a cluster diff --git a/maturity_levels/templates/apache_spark.j2 b/maturity_levels/templates/apache_spark.j2 deleted file mode 100644 index bab7df49d..000000000 --- a/maturity_levels/templates/apache_spark.j2 +++ /dev/null @@ -1,33 +0,0 @@ -= Apache Spark -{{ Author }} -{{ Version }}, {{ Date }} -:latest_version: {{ Version }} -:toc: -:icons: font - -Apache Spark is a unified analytics engine for large-scale data processing. - -== Operator Status -* *Category:* {{ Category }} -* *Maturity level:* {{ Maturity }} -* *Version:* {{ Version }} -* *Development status:* {{ Status }} -* *Stackable repo:* {{ StackableRepo }} -* *Website:* {{ Link }} - -== Operator Dependencies -{% set Dependencies = Dependencies|string %} -{% if Dependencies != "nan" %} -{% set deps = Dependencies.split(",") %} -{% for dep in deps %} -* {{ dep }} -{% endfor %} -{% else %} -None -{% endif %} - -== Operator Features -* Deploy Apache Spark in standalone mode with support for deploying the following operand roles: -** Spark Master -** Spark Worker -** Spark History Server \ No newline at end of file diff --git a/maturity_levels/templates/apache_zookeeper.j2 b/maturity_levels/templates/apache_zookeeper.j2 deleted file mode 100644 index 58430c4b5..000000000 --- a/maturity_levels/templates/apache_zookeeper.j2 +++ /dev/null @@ -1,32 +0,0 @@ -= Apache ZooKeeper -{{ Author }} -{{ Version }}, {{ Date }} -:latest_version: {{ Version }} -:toc: -:icons: font - - -Apache ZooKeeper is an open-source server which enables highly reliable distributed coordination. It provides configuration and state distribution and coordination for many other projects, including Apache Kafka. - -== Operator Status -* *Category:* {{ Category }} -* *Maturity level:* {{ Maturity }} -* *Version:* {{ Version }} -* *Development status:* {{ Status }} -* *Stackable repo:* {{ StackableRepo }} -* *Website:* {{ Link }} - -== Operator Dependencies -{% set Dependencies = Dependencies|string %} -{% if Dependencies != "nan" %} -{% set deps = Dependencies.split(",") %} -{% for dep in deps %} -* {{ dep }} -{% endfor %} -{% else %} -None -{% endif %} - -== Operator Features -* Deploy an Apache ZooKeeper ensemble -* Minor version upgrades supported \ No newline at end of file diff --git a/maturity_levels/templates/opa.j2 b/maturity_levels/templates/opa.j2 deleted file mode 100644 index 6fe92a42e..000000000 --- a/maturity_levels/templates/opa.j2 +++ /dev/null @@ -1,30 +0,0 @@ -= {{ DisplayName }} -{{ Author }} -{{ Version }}, {{ Date }} -:latest_version: {{ Version }} -:toc: -:icons: font - - -The Open Policy Agent (OPA, pronounced “oh-pa”) is an open source, general-purpose policy engine that unifies policy enforcement across the stack. OPA provides a high-level declarative language that lets you specify policy as code and simple APIs to offload policy decision-making from your software. - -== Operator Status -* *Category:* {{ Category }} -* *Maturity level:* {{ Maturity }} -* *Version:* {{ Version }} -* *Development status:* {{ Status }} -* *Stackable repo:* {{ StackableRepo }} -* *Website:* {{ Link }} - -== Operator Dependencies -{% if Dependencies is not number %} -{% set deps = Dependencies.split(",") %} -{% for dep in deps %} -* {{ dep }} -{% endfor %} -{% else %} -None -{% endif %} - -== Operator Features -* Deploy and manage the OPA agent diff --git a/maturity_levels/templates/rego.j2 b/maturity_levels/templates/rego.j2 deleted file mode 100644 index c7935f12c..000000000 --- a/maturity_levels/templates/rego.j2 +++ /dev/null @@ -1,31 +0,0 @@ -= {{ DisplayName }} -{{ Author }} -{{ Version }}, {{ Date }} -:latest_version: {{ Version }} -:toc: -:icons: font - - -Rego the the declarative language used to define Open Policy Agent authorisation rules. - -== Operator Status -* *Category:* {{ Category }} -* *Maturity level:* {{ Maturity }} -* *Version:* {{ Version }} -* *Development status:* {{ Status }} -* *Stackable repo:* {{ StackableRepo }} -* *Website:* {{ Link }} - -== Operator Dependencies -{% if Dependencies is not number %} -{% set deps = Dependencies.split(",") %} -{% for dep in deps %} -* {{ dep }} -{% endfor %} -{% else %} -None -{% endif %} - -== Operator Features -* Watch for new rules and creates a bundle of all rules in the watched namespace -* Make the bundle available via HTTP diff --git a/modules/contributor/pages/adr/drafts/images/adr7-architecture.png b/modules/contributor/images/adr7-architecture.png similarity index 100% rename from modules/contributor/pages/adr/drafts/images/adr7-architecture.png rename to modules/contributor/images/adr7-architecture.png diff --git a/modules/contributor/pages/adr/ADR007-defined_reuse_of_k8s.adoc b/modules/contributor/pages/adr/ADR007-defined_reuse_of_k8s.adoc index d3e7037dc..0e4a92f03 100644 --- a/modules/contributor/pages/adr/ADR007-defined_reuse_of_k8s.adoc +++ b/modules/contributor/pages/adr/ADR007-defined_reuse_of_k8s.adoc @@ -26,7 +26,7 @@ Some examples of this are: In theory, Kubernetes components are extensible enough that it should allow us to implement our components in a way that we can deploy them on top of an existing Kubernetes. This would save us some work, as we'd for example not have to reimplement the registration process for agents. -image::images/adr7-architecture.png[Architecture options] +image::adr7-architecture.png[Architecture options] The image shows the two main options that we have identified during deliberations so far: diff --git a/modules/contributor/partials/adr-nav.adoc b/modules/contributor/partials/adr-nav.adoc index d67849936..ef1af0072 100644 --- a/modules/contributor/partials/adr-nav.adoc +++ b/modules/contributor/partials/adr-nav.adoc @@ -1,19 +1,19 @@ ** Architectural Decision Records *** Current -**** xref:ADR001-choose_project_language.adoc[] -**** xref:ADR002-choose_repository_structure.adoc[] -**** xref:ADR003-choose_review_mechanism.adoc[] -**** xref:ADR004-choose_agent_programming_language.adoc[] -**** xref:ADR005-systemd_unit_file_location.adoc[] -**** xref:ADR007-defined_reuse_of_k8s.adoc[] -**** xref:ADR008-decide_reuse_of_operators.adoc[] -**** xref:ADR009-selector_support.adoc[] -**** xref:ADR010-command_pattern.adoc[] -**** xref:ADR011-directory_structure.adoc[] -**** xref:ADR012-authn_token_management.adoc[] +**** xref:adr/ADR001-choose_project_language.adoc[] +**** xref:adr/ADR002-choose_repository_structure.adoc[] +**** xref:adr/ADR003-choose_review_mechanism.adoc[] +**** xref:adr/ADR004-choose_agent_programming_language.adoc[] +**** xref:adr/ADR005-systemd_unit_file_location.adoc[] +**** xref:adr/ADR007-defined_reuse_of_k8s.adoc[] +**** xref:adr/ADR008-decide_reuse_of_operators.adoc[] +**** xref:adr/ADR009-selector_support.adoc[] +**** xref:adr/ADR010-command_pattern.adoc[] +**** xref:adr/ADR011-directory_structure.adoc[] +**** xref:adr/ADR012-authn_token_management.adoc[] * *** Deprecated -**** xref:deprecated/ADR006-choose_orchestrator_storage_backend.adoc[] +**** xref:adr/deprecated/ADR006-choose_orchestrator_storage_backend.adoc[] * *** Drafts -**** xref:drafts/ADRx-choose_authorization_engine.adoc[] +**** xref:adr/drafts/ADRx-choose_authorization_engine.adoc[] diff --git a/modules/maturity_levels/nav.adoc b/modules/maturity_levels/nav.adoc deleted file mode 100644 index 0d382d94b..000000000 --- a/modules/maturity_levels/nav.adoc +++ /dev/null @@ -1,16 +0,0 @@ -* Maturity Levels - -** Components -*** xref:operators/operator_maturity_levels.adoc[] -*** xref:operators/apache_kafka.adoc[] -*** xref:operators/apache_nifi.adoc[] -*** xref:operators/apache_spark.adoc[] -*** xref:operators/apache_zookeeper.adoc[] - -** Platform -*** xref:platform/platform_maturity_levels.adoc[] -*** xref:platform/ML1.adoc[] -*** xref:platform/ML2.adoc[] -*** xref:platform/ML3.adoc[] -*** xref:platform/ML4.adoc[] -*** xref:platform/ML5.adoc[] \ No newline at end of file diff --git a/modules/maturity_levels/pages/operators/apache_hadoop_hdfs.adoc b/modules/maturity_levels/pages/operators/apache_hadoop_hdfs.adoc deleted file mode 100644 index 43b9eb105..000000000 --- a/modules/maturity_levels/pages/operators/apache_hadoop_hdfs.adoc +++ /dev/null @@ -1,55 +0,0 @@ -= Apache Hadoop HDFS -Jim Halfpenny -0.0, 26.05.2021 -:latest_version: 0.0 -:toc: -:icons: font - -Apache Hadoop HDFS is a distributed file system that provides high-throughput access to application data. - -== Overview -This operator deploys and managed all of the HDFS roles including; - -* NameNode -* DataNode -* JournalNode - -== Operator Status -* *Category:* Storage -* *Maturity level:* 0 -* *Version:* 0.0 -* *Development status:* Roadmap -* *Stackable repo:* https://github.com/stackabletech/hdfs-operator -* *Website:* https://hadoop.apache.org/ - -== Operator Dependencies - -None - - -== Operator Features -* Automated deployment -* Starting and stopping services -* Wire encryption -* OPA authorisation -* Seamless upgrades -* Advanced monitoring - -== Configuration -Lists of the configuration options - - -== Deployment -How to deploy the HDFS operator - - -*List below taken from Charmhub* - -* Detailed documentation -* Guaranteed getting started -* Secrets management -* Implements sidecar pattern -* Seamless upgrades -* Unit testing -* High availability - diff --git a/modules/maturity_levels/pages/operators/apache_hadoop_yarn.adoc b/modules/maturity_levels/pages/operators/apache_hadoop_yarn.adoc deleted file mode 100644 index ea16553ff..000000000 --- a/modules/maturity_levels/pages/operators/apache_hadoop_yarn.adoc +++ /dev/null @@ -1,31 +0,0 @@ -= Apache Hadoop YARN -Jim Halfpenny -0.0, 26.05.2021 -:latest_version: 0.0 -:toc: -:icons: font - - -Apache Hadoop YARN is a framework for job scheduling and cluster resource management. - -== Operator Status -* *Category:* Storage -* *Maturity level:* 0 -* *Version:* 0.0 -* *Development status:* Roadmap -* *Stackable repo:* https://github.com/stackabletech/yarn-operator -* *Website:* https://hadoop.apache.org/ - -== Operator Dependencies - - - -* Apache ZooKeeper - - - -== Operator Features -* Deploy and manage HDFS roles -** ResourceManager -** NodeManager -** YARN History Server \ No newline at end of file diff --git a/modules/maturity_levels/pages/operators/apache_kafka.adoc b/modules/maturity_levels/pages/operators/apache_kafka.adoc deleted file mode 100644 index e311e10d6..000000000 --- a/modules/maturity_levels/pages/operators/apache_kafka.adoc +++ /dev/null @@ -1,29 +0,0 @@ -= Apache Kafka -Jim Halfpenny -0.1, 26.05.2021 -:latest_version: 0.1 -:toc: -:icons: font - - -Apache Kafka is an open-source distributed event streaming platform. - -== Operator Status -* *Category:* Streaming -* *Maturity level:* 1 -* *Version:* 0.1 -* *Development status:* In development -* *Stackable repo:* https://github.com/stackabletech/kafka-operator -* *Website:* https://kafka.apache.org/ - -== Operator Dependencies - - - -* Apache ZooKeeper - - - -== Operator Features -* Deployment of Kafka brokers -* Support for authorisation using OPA \ No newline at end of file diff --git a/modules/maturity_levels/pages/operators/apache_nifi.adoc b/modules/maturity_levels/pages/operators/apache_nifi.adoc deleted file mode 100644 index a08de7914..000000000 --- a/modules/maturity_levels/pages/operators/apache_nifi.adoc +++ /dev/null @@ -1,28 +0,0 @@ -= Apache NiFi -Jim Halfpenny -0.1, 26.05.2021 -:latest_version: 0.1 -:toc: -:icons: font - -Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. - -== Operator Status -* *Category:* Data In Motion -* *Maturity level:* 1 -* *Version:* 0.1 -* *Development status:* In development -* *Stackable repo:* https://github.com/stackabletech/nifi-operator -* *Website:* https://nifi.apache.org/ - -== Operator Dependencies - - - - -* Apache ZooKeeper - - - -== Operator Features -* Deploy Apache NiFi, either standalone or as a cluster \ No newline at end of file diff --git a/modules/maturity_levels/pages/operators/apache_spark.adoc b/modules/maturity_levels/pages/operators/apache_spark.adoc deleted file mode 100644 index dff3582b4..000000000 --- a/modules/maturity_levels/pages/operators/apache_spark.adoc +++ /dev/null @@ -1,31 +0,0 @@ -= Apache Spark -Jim Halfpenny -0.1, 26.05.2021 -:latest_version: 0.1 -:toc: -:icons: font - -Apache Spark is a unified analytics engine for large-scale data processing. - -== Operator Status -* *Category:* Data Processing -* *Maturity level:* 1 -* *Version:* 0.1 -* *Development status:* In development -* *Stackable repo:* https://github.com/stackabletech/spark-operator -* *Website:* https://spark.apache.org/ - -== Operator Dependencies - - - - -* Apache ZooKeeper - - - -== Operator Features -* Deploy Apache Spark in standalone mode with support for deploying the following operand roles: -** Spark Master -** Spark Worker -** Spark History Server \ No newline at end of file diff --git a/modules/maturity_levels/pages/operators/apache_zookeeper.adoc b/modules/maturity_levels/pages/operators/apache_zookeeper.adoc deleted file mode 100644 index b9daae016..000000000 --- a/modules/maturity_levels/pages/operators/apache_zookeeper.adoc +++ /dev/null @@ -1,27 +0,0 @@ -= Apache ZooKeeper -Jim Halfpenny -0.1, 26.05.2021 -:latest_version: 0.1 -:toc: -:icons: font - - -Apache ZooKeeper is an open-source server which enables highly reliable distributed coordination. It provides configuration and state distribution and coordination for many other projects, including Apache Kafka. - -== Operator Status -* *Category:* Configuration Management -* *Maturity level:* 1 -* *Version:* 0.1 -* *Development status:* In development -* *Stackable repo:* https://github.com/stackabletech/zookeeper-operator -* *Website:* https://zookeeper.apache.org/ - -== Operator Dependencies - - -None - - -== Operator Features -* Deploy an Apache ZooKeeper ensemble -* Minor version upgrades supported \ No newline at end of file diff --git a/modules/maturity_levels/pages/operators/opa.adoc b/modules/maturity_levels/pages/operators/opa.adoc deleted file mode 100644 index 5f54b856d..000000000 --- a/modules/maturity_levels/pages/operators/opa.adoc +++ /dev/null @@ -1,25 +0,0 @@ -= Open Policy Agent (OPA) -Jim Halfpenny -0.1, 26.05.2021 -:latest_version: 0.1 -:toc: -:icons: font - - -The Open Policy Agent (OPA, pronounced “oh-pa”) is an open source, general-purpose policy engine that unifies policy enforcement across the stack. OPA provides a high-level declarative language that lets you specify policy as code and simple APIs to offload policy decision-making from your software. - -== Operator Status -* *Category:* Security Policy -* *Maturity level:* 1 -* *Version:* 0.1 -* *Development status:* In development -* *Stackable repo:* https://github.com/stackabletech/opa-operator -* *Website:* https://www.openpolicyagent.org/ - -== Operator Dependencies - -None - - -== Operator Features -* Deploy and manage the OPA agent \ No newline at end of file diff --git a/modules/maturity_levels/pages/operators/operator_maturity_levels.adoc b/modules/maturity_levels/pages/operators/operator_maturity_levels.adoc deleted file mode 100644 index 0d9b79114..000000000 --- a/modules/maturity_levels/pages/operators/operator_maturity_levels.adoc +++ /dev/null @@ -1,67 +0,0 @@ -= Operator Maturity Levels -Jim Halfpenny -v1.0, 06.05.2021 -:status: draft -:toc: -:icons: font - -*Status*: {status} - -== Intro -Stackable aims to provide a comprehensive selection of operators from across the open source data management ecosystem. As each new operator is added to Stackable it will mature in functionality and integration with the rest of the stack. Maturity levels are a means of communicating how far along this journey an operator has traveled and what level of features and support can be expected. - -This gives a clear indication of the maturity of each operator and allows decisions on which components to adopt in your data management environment and enables rapid adoption of new operators. When new projects are released they can be added quickly, allowing for evaluation and prototyping. - - -== Level 0 - Candidate Operator -Level 0 indicates that interest has been shown in adopting the operators into the Stackable ecosystem and that it is on the roadmap. There is no GA release of this operator at this point, instead level 0 indicates that the operator is being considered for inclusion. This level is for new and proposed operators that have yet to fulfil the criteria for promotion to level 1. - -== Level 1 - Fundamental Operator -This represents the minimum requirements for acceptance of an operator into Stackable and provides basic installation and management of the operand. Operators can deploy the operand and each will have been integration tested with other Stackable operators. - -=== Features -* Automated deployment -* Basic status reporting -* Manual operator configuration -* Manual operand security configuration -* Fetch operand logs using kubectl -* Open Policy Agent integration for authorisation and audit - -== Level 2 - Improving Operator -Level 2 operators add additional functionality, including the ability to perform minor version upgrades of operands. - -=== Features -* Improved security configuration management -* Storage of keytabs and PKI material in a managed repository -* Rolling restarts (where supported by the operand) -* Minor version upgrades of the operand -* Configuration validation and best practice - -== Level 3 - Mature Operator -At level 3 operators will be integrated with the Stackable Control Panel for easier and simpler service and configuration management. - -=== Features -* Operand metric collection -* Operand backups and snapshots -* Support for operand major version upgrades and rollback of minor upgrades -* High availability and failover -* Capacity scaling - -== Level 4 - Smooth Operator -Level 4 operators are ready for the big time, with advanced monitoring and management features. - -=== Features -* Generation of events with alerting and action triggers -* Improved log management with support for enterprise monitoring platforms -* Automatic capacity scaling - -== Level 5 - Top of the Stack Operator -Top level operators are able to effectively manage itself. Metrics are used to monitor workload efficiency and to automatically tune service configuration and capacity and to provide recommendations to maintain the health of the service. - -=== Features -* Configuration via Stackable Control Panel -* Workload analysis and tuning -* Automatic operand scaling -* Operand self healing -* Automatic tuning -* Operand performance baseline and anomaly detection diff --git a/modules/maturity_levels/pages/operators/rego.adoc b/modules/maturity_levels/pages/operators/rego.adoc deleted file mode 100644 index b397fe989..000000000 --- a/modules/maturity_levels/pages/operators/rego.adoc +++ /dev/null @@ -1,26 +0,0 @@ -= OPA Rego Rule -Jim Halfpenny -0.1, 26.05.2021 -:latest_version: 0.1 -:toc: -:icons: font - - -Rego the the declarative language used to define Open Policy Agent authorisation rules. - -== Operator Status -* *Category:* Security Policy -* *Maturity level:* 1 -* *Version:* 0.1 -* *Development status:* In development -* *Stackable repo:* https://github.com/stackabletech/rego-operator -* *Website:* https://www.openpolicyagent.org/docs/latest/#rego - -== Operator Dependencies - -None - - -== Operator Features -* Watch for new rules and creates a bundle of all rules in the watched namespace -* Make the bundle available via HTTP \ No newline at end of file diff --git a/modules/maturity_levels/pages/platform/ML1.adoc b/modules/maturity_levels/pages/platform/ML1.adoc deleted file mode 100644 index 53e437732..000000000 --- a/modules/maturity_levels/pages/platform/ML1.adoc +++ /dev/null @@ -1,74 +0,0 @@ -= Maturity Level 1 -Jim Halfpenny -v1.0, 04.05.2021 -:status: draft -:toc: -:icons: font - -*Status*: {status} - -== Objective -The aim for maturity level 1 is to provide an MVP of Stackable, including delivery of the essential components needed to deploy the initial service offerings. This will serve to deliver the essential components that form the foundation of Stackable and include the Stackable Agent and operators for deployment of the core services. - -A strong part of this foundation is the principle of infrastructure as code to define services and their relationships. By working with code from the ground up Stackable will provide a means to manage, revise and control service definitions. This will allow for repeatable deployments, better integration with DevOps tools and greater control over the platform lifecycle in comparison to other products. - -There is a focus on delivering a next generation data platform, one that builds upon and learns from the limitations of existing alternatives. The open source nature of Stackable will emphasise the flexibility and openness of the platform, its adaptability to specific customer needs, and the ease with which components can be added to the stack. - -The target audience for ML1 includes; - -* existing users of the tools available in Stackable, particularly those who are currently self-supporting. -* those looking to deploy a new data platform or mature their existing environment. -* IaaS providers looking to build a competitive data platform infrastructure. - -== Features -=== Services -The core list of supported Stackable operators for services will be available, and the supported versions of each component will be documented. Supported in this instance will include those that have been tested individually and as part of the wider stack. Compatible versions may be listed as either a specific version, or a range of versions. The initial list of core services are expected to include: - -* https://hadoop.apache.org/[Apache Hadoop HDFS] -* https://hadoop.apache.org/[Apache Hadoop YARN] -* https://kafka.apache.org/[Apache Kafka] -* https://nifi.apache.org/[Apache NiFi] -* https://spark.apache.org/[Apache Spark] -* https://zookeeper.apache.org/[Apache ZooKeeper] - -A completed service operator will implement start, stop and restart operations for its respective service. This is the baseline for acceptance of new operators into the stack. - -=== Installation and Upgrades -Stackable will be provided as a software package and installation of Stackable will be via a documented manual process. This will involve the installation of OS software packages (available as both RPM and DEB packages) for the Stackable agent, with operators made available as OS packages and docker images. Manual configuration will be required during installation. Prerequisites may be added using the OS package manager when available, with some dependencies needing to be satisfied manually. - -Upgrade support for minor versions of components will be available requiring a full cluster stop. - -=== Automated Provisioning -Stackable will be able to deploy and configure a service for a given specification presented as a YAML file. It will be able to link a service with its dependencies e.g. associating a Kafka deployment with its ZooKeeper service. Services once deployed can also be shut down and destroyed. - -Once a service has been deployed the service information will be stored in a service object containing all the data relevant to managing and connecting to the service. It will include details of the hosts or containers onto which it has been deployed and the client endpoints and connection strings. This will allow for discovery of the correct locations for communication from clients and other services in the stack. - - -=== Configuration management -The service configuration provided will be enough to get the services deployed, running and working with the other service available in Stackable. Configuration of Stackable components will be via a manually-created YAML file. Examples of valid service files will be made available to serve as templates for customer deployments. Basic configuration validation such as ensuring that mandatory configuration values are included and type checking of values will be performed. - -Once a service is deployed changes can be made to its configuration and then rolled out to the cluster, restarting the services as required. There will not be support for rolling restarts at this stage. - -=== Security and Governance -==== Authentication -The primary means of authentication for many data platforms is Kerberos. Stackable will not provide the Kerberos infrastructure itself, since most customers will use their existing infrastructure, typically Microsoft Active Directory. Kerberos service keytabs will be created manually and stored and retrieved by the services using Kubernetes Secrets. - -==== Authorisation -Authorisation policy will need to be manually applied, typically using any in-built facility for defining authorisation rules and ACL. - -==== Encryption -Wire encryption can be enabled manually through individual service configuration, with the end user being responsible for distribution of cryptographic keys and certificates. - -== Use Cases -=== Demo Application - -Stackable will ship with at least one example application. This will provide a walkthrough tutorial demonstrating how to install Stackable, deploy services and run the demo application. The goal is to provide a hands-on way to A technologically able user should be able to follow the documentation to deploy Stackable and to run an example application on the Stack. - -=== User Stories -Stackable will deliver the ability to deploy a data platform with sufficient breadth to allow data storage, movement and processing. - -* "As a data custodian, I'd like to create a Stackable data lake to store and process our high-volume business data." -* "As a Data Scientist, I'd like to calculate a Page Rank with SparklyR from RStudio on a stackable powered Spark cluster." -* "As a specialist field / department, I’d like to securely ingest a data stream into a stackable powered Kafka cluster" - - diff --git a/modules/maturity_levels/pages/platform/ML2.adoc b/modules/maturity_levels/pages/platform/ML2.adoc deleted file mode 100644 index 6e3f8122b..000000000 --- a/modules/maturity_levels/pages/platform/ML2.adoc +++ /dev/null @@ -1,50 +0,0 @@ -= Maturity Level 2 -Jim Halfpenny -v1.0, 04.05.2021 -:status: draft -:toc: -:icons: font - -*Status*: {status} - -== Objective -The aim for maturity level 2 is to build on the core foundation of the Stackable platform and ready it for GA release. This will include the introduction of new components to Stackable as well as improving the installation process and overall usability. Priority will be given to new components that round out the capabilities of the platform and ensure a broad range of functionality encompassing the most common customer use cases. - -== Features -=== Services -New operators will be added to the stack, with priority given to those that complete the stack. The aim is to provide a comprehensive range of components to cover as wide a range of use cases as possible including storage, data processing, query engines and visualisation. - -Services associations will be defined to satisfy dependencies and to provide client configuration for services that require them. For example a Spark service can be associated with a HDFS service to provide the configuration to allow file access e.g. hdfs-site.xml. - -=== Installation and Upgrades -A more polished installation experience will be introduced, making it easier to install with the majority of software dependencies being met automatically. - -An upgrade path from previous versions of Stackable will be available, including upgrading of Stackable operators with the option to rollback to the previous version. - - -=== Automated Provisioning -Template based deployment of Stackable will allow the definition of a selection of associated services, the capacity requirements and custom configuration. You will be able to define the services required by a use case and have them deployed, with mutual configuration carried out to link the services done automatically. A collection of example configuration templates will serve to enable customer deployments and to serve as documented example deployments. - -=== Configuration management -There will be improvements to configuration validation with the introduction of validity checks e.g. is a configuration parameter within reasonable bounds. This will bring the experience and best practice from the open source Big Data community into Stackable and aim to reduce the incidence of common service misconfigurations. - -=== Security and Governance -==== Authentication -Kerberos will be available for all components that support it to allow deployment of securely authenticated clusters. Tooling will be added to manage Kerberos keytab lifecycle for services i.e. creation, storage, retrieval and termination of service principles. - -Other methods of authentication (LDAP, TLS) will be supported by manually applying the relevant configuration to the Stackable services. - -==== Authorisation -A managed security framework will be introduced using https://www.openpolicyagent.org/[Open Policy Agent (OPA)]. The aim is to use OPA as the authorisation framework for all the Stackable operators and promote the security as code model for access control. Integration for OPA already exists for Kafka, which will serve as a demonstration for OPA for managed authorisation. Securing other services that don't currently have OPA integration will be limited to what can be placed into the operator service configuration or applied manually at runtime e.g. ZooKeeper ACLs. - -Management of OPA policy will be through manually written OPA policy files to define the security rules for data access. These policies will be distributed to compatible operators using the Stackable Rego Rule operator. - -==== Encryption -Support for storage and deployment of pre-created TLS certificates and keys using Kubernetes Secrets. - -==== Accounting/Audit -OPA decision logs will provide auditing of policy decisions. Stackable OPA operator can be configured to send these decision logs to a remote web server for collection and archival, enabling the creation of a central audit collection point. - -== Use Cases -=== Demo Applications -Provide a tutorial/demo that uses as much of the stack as possible. It should mimic some sort of real world application and possible serve as a template. diff --git a/modules/maturity_levels/pages/platform/ML3.adoc b/modules/maturity_levels/pages/platform/ML3.adoc deleted file mode 100644 index b43d454b0..000000000 --- a/modules/maturity_levels/pages/platform/ML3.adoc +++ /dev/null @@ -1,52 +0,0 @@ -= Maturity Level 3 -Jim Halfpenny -v1.0, 04.05.2021 -:status: draft -:toc: -:icons: font - -*Status*: {status} - -== Objective -The aim for maturity level 3 is to provide a platform fit for GA release. This means having a comprehensive set of operators, a robust deployment and management framework and comprehensive product documentation. Installation at this stage will be largely automated with a comprehensive installation guide. - -This milestone will see the introduction and release of a functional control plane user interface for deployment and management of Stackable. - - -== Services -The core operators will have already been delivered and effort will instead be made into ensuring their robustness. A library of service templates will be provided to make deployment of common use cases straightforward and act as the bases for bespoke deployments. - -New operators added to Stackable based on priority, maturity and user feedback. Integration of these services with 3rd party partner tools and services will also be documented at this stage, allowing Stackable to integrate better with other data-centric tooling used by customers. - - -== Installation and Upgrades -Installation of Stackable itself will be mature and well automated at this stage. Stackable will also have a documented migration path away from other big data platforms, providing a roadmap for customers wishing to move to Stackable. This will suit self supporters, customer looking to unify disparate products and those wishing to migrate away from proprietary alternatives. - -Upgrade between major versions. Including updates to schemas and file formats where needed. Rollback based on point in time snapshot of pre-upgrade environment. - -=== Automated Provisioning -Stackable will have greater control over the platforms it can be deployed to, with support public cloud vendors, Kubernetes, bare metal and hybrid deployments. There will be an API for publishing service templates to create a fully working cluster. Validation will be improved so that configuration errors are picked up early and fixed prior to deployment. - -The control plane will offer a wizard based deployment, allowing customer to choose the services they would like to deploy, where they will be deployed and highlight any missing service dependencies. - -=== Configuration management -The control plane will provide an interactive way to view and change service configuration and to push these changes out to the running services. Broad range of configuration options will be made available and documented for each service. The expertise of Stackable will allow for richer health checks/sanity checks/configuration validation. - -=== Security and Governance -Stackable will be able to provide guided installation of services that can be secured with the minimum of manual intervention and adherence to best practice. The most commonly available security features can be enabled when services are deployed. - -The control plane will evaluate and report on the security posture of deployed services and offer suggestions on how to improve security. Missing or unconfigured security features will be highlighted with a remedy offered to address the issue. - -Stackable will provide bulletins warning of new security issues and remediation steps including patches. These bulletins will be published on the web, delivered by email and published to a feed that can be read into the UI to provide operators with the information directly. - -== Use Cases -=== Demo Applications -A library of fully working demos to show off the capabilities of Stackable. These will cover a number of use cases in different verticals and act as demonstrations of Stackable capabilities. - -* Platform deployment demo for operators -* Demo applications and use cases -** Streaming -** Machine Learning -** Data visualisation -** Big data analysis -** Big data query \ No newline at end of file diff --git a/modules/maturity_levels/pages/platform/ML4.adoc b/modules/maturity_levels/pages/platform/ML4.adoc deleted file mode 100644 index 9817b13ab..000000000 --- a/modules/maturity_levels/pages/platform/ML4.adoc +++ /dev/null @@ -1,49 +0,0 @@ -= Maturity Level 4 -Jim Halfpenny -v1.0, 04.05.2021 -:status: draft -:toc: -:icons: font - -*Status*: {status} - -== Objective -Maturity level 4 will build upon the GA release to include improvements to the product. More advanced features will be added incorporating and codifying expertise and best practices into the product as well as the addition of more operators. The aim is to make Stackable easier, more efficient and more effective than installing and running the components separately. - -Documentation will include how to use Stackable as well as how to develop for it e.g. writing custom operators. User feedback in the form of bug reports and feature requests will be a firm part of Stackable’s life cycle at this point. - -Wider adoption among infrastructure provides e.g. Cloud Vendors. - -== Services -The core stack of available services should be well-defined by this stage, and the rate of addition of new services will decrease. Introduction of new services will now be relatively straightforward, based on the example given by the range of existing operators. The control plane will provide additional features to control the service, such as relocation of service instances and failover of active instances to a standby. - -There will be more focus on integration of services with other platforms and products outside the Stackable ecosystem. - -=== Installation and Upgrades -The Stackable installation process will continue to improve and follow customer feedback. The Stackable control plane will be improved to ensure fully automated deployment to the point that automated, in-situ migration from Hadoop clusters to Stackable is possible. - -There will be further integration with managed infrastructure providers to deploy Stackable services on a wider range of platforms. Cloud vendors will be enabled to deploy Stackable as a native service or to integrate with their app store style of deployment. - -=== Automated Provisioning -There will be further integration with managed infrastructure providers to deploy Stackable services on a wider range of platforms. Cloud vendors will be enabled to deploy Stackable as a native service or to integrate with their app store style of deployment. - -A persistent metadata store can be deployed to allow for service and workload lifecycles to be better managed. Data and metadata can be stored while compute resource remains dormant, reducing the operating cost of the platform. - -=== Configuration management -This release will see improvements to configuration validation and reporting, with further implementation of best practice guidance into the product. Configuration will be presented in a user interface using the existing APIs to allow a more visual management style. Feedback on configuration recommendations can be given in the UI to allow for simple validation and sense checking of configuration properties. - - -=== Security and Governance -Stackable will provide more advanced data governance features including management of metadata. The supplied components will offer the ability to manage a metadata dictionary with tagging, data lineage and managed schemas. - -Management of credentials and PKI keys/certificates will be better integrated, meaning less maintenance effort and reduced deployment times. - -Addition of an application gateway to simplify authentication and make services easier to access. This will provide better identity management, with support for enterprise authentication schemes (SSO, SAML, OAuth). - -Value added features such as bulletins notifying of new security issues and remediation steps, including patches to stackable Components. These bulletins will be published on the web, delivered by email and published to a feed that can be read into a UI to provide operators with up to date security information. - - -== Demo Applications -Building on the existing demo library, this will be extended to demonstrate the growing capabilities of the platform. New components added to the stack will appear in the demos as well as new use cases. - -There will be more focus on delivering the as application templates for customer to adapt to their needs. As well as helping to drive adoption it will act as repository of blueprints for given deployments. Using shared blueprints means there can be more community effort in supporting customers and reduce the cost of support and professional services. \ No newline at end of file diff --git a/modules/maturity_levels/pages/platform/ML5.adoc b/modules/maturity_levels/pages/platform/ML5.adoc deleted file mode 100644 index 1e707b2b3..000000000 --- a/modules/maturity_levels/pages/platform/ML5.adoc +++ /dev/null @@ -1,35 +0,0 @@ -= Maturity Level 5 -Jim Halfpenny -v1.0, 04.05.2021 -:status: draft -:toc: -:icons: font - -*Status*: {status} - -== Objective -Maturity level 5 will deliver a fully-managed best of breed platform. Continuing to build on the existing platform new enhancements such as predictive maintenance, workload analysis, cost management and secure multi-tenancy. An ecosystem of components from Stackable and the wider community will make this the premier open source data processing platform. - - -== Features -=== Services -Few new services will be added at this stage as the collection of available services should be complete. Where there is demand for new operators the process of adding additional ones to the platform should be mature enough that new services can be easily adopted. - - -=== Installation and Upgrades -Installation will be polished and well documented, including options for automation using widely deployed DevOps tools. Upgrade individual components will be as seamless as possible, with automatic upgrade of dependencies to ensure the platform stays at a supported level. Checkpoints or snapshots of clusters will allow for automated rollback. - -Support for migration of pods to allow for continuous running even when during maintenance. - -=== Automated Provisioning - -=== Configuration management -Mature configuration management with - -* Feedback loop, identify tuning and scaling opportunities. -* Fully fledged control plane. Deployment should be as easy as cloud native from the control plane. - -== Security and Governance - -== Demo Applications - diff --git a/modules/maturity_levels/pages/platform/platform_maturity_levels.adoc b/modules/maturity_levels/pages/platform/platform_maturity_levels.adoc deleted file mode 100644 index 798cc5d52..000000000 --- a/modules/maturity_levels/pages/platform/platform_maturity_levels.adoc +++ /dev/null @@ -1,8 +0,0 @@ -= Platform Maturity Levels -Jim Halfpenny -v1.0, 06.05.2021 -:status: draft -:toc: -:icons: font - -*Status*: {status} diff --git a/modules/operator_roadmap/nav.adoc b/modules/operator_roadmap/nav.adoc deleted file mode 100644 index abe6faaf0..000000000 --- a/modules/operator_roadmap/nav.adoc +++ /dev/null @@ -1,2 +0,0 @@ -* Roadmap and Depenencies -** xref:operator_roadmap.adoc[] \ No newline at end of file diff --git a/modules/operator_roadmap/pages/operator_roadmap.adoc b/modules/operator_roadmap/pages/operator_roadmap.adoc deleted file mode 100644 index 952b5d168..000000000 --- a/modules/operator_roadmap/pages/operator_roadmap.adoc +++ /dev/null @@ -1,259 +0,0 @@ -= Operator Roadmap and Dependencies -Jim Halfpenny -v1.0, 04.05.2021 -:status: draft -:toc: -:icons: font -:table-caption!: - -*Status*: {status} - -Outline the proposed operators/components and prioritise their development. - - -[cols=7] -.Operators -|=== -| Component -| Priority -| Status -| Maturity -| Category -| Dependencies -| Link - -| Apache Kafka -| 1 -| In development -| -| Streaming -| -| https://kafka.apache.org/ - -| Apache NiFi -| 1 -| In development -| -| Data In Motion -| -| https://nifi.apache.org/ - -| Apache Spark -| 1 -| In development -| -| Data Processing -| -| https://spark.apache.org/ - -| Apache ZooKeeper -| 1 -| In development -| -| Distributed Configuration Management -| -| https://zookeeper.apache.org/ - -| Apache Druid -| 2 -| -| -| Streams Processing -| -| https://druid.apache.org/ - -| Apache Hadoop (HDFS and YARN) -| 1 -| -| -| Storage -| Apache ZooKeeper -| https://hadoop.apache.org/ - -| Apache HBase -| 2 -| -| -| Operational Database -| -| https://hbase.apache.org/ - -| Apache Hive -| 1 -| -| -| SQL Engine -| -| https://hive.apache.org/ - -| Apache Impala -| 1 -| -| -| SQL Engine -| -| https://impala.apache.org/ - -| Apache Oozie -| 1 -| -| -| Workload Management -| -| https://oozie.apache.org/ - -| Apache Sqoop -| 2 -| -| -| Data In Motion -| -| https://sqoop.apache.org/ - -| Apache Superset -| 2 -| -| -| Data Visualisation -| -| https://superset.apache.org/ - -| Apache Tez -| 2 -| -| -| Data Processing -| -| https://tez.apache.org/ - -| Hue -| 2 -| -| -| Data Visualisation -| -| https://gethue.com/ - -| Apache Airflow -| 3 -| -| -| Workflow Management -| -| https://airflow.apache.org/ - -| Apache Flink -| 3 -| -| -| Stream Processing -| Apache Hadoop YARN -| https://flink.apache.org/ - -| Apache Flume -| 3 -| -| -| Data In Motion -| -| https://flume.apache.org/ - -| Apache IoTDB -| 3 -| -| -| Operational Database -| -| https://iotdb.apache.org/ - -| Apache Livy -| 3 -| -| -| Data Processing -| -| https://livy.apache.org/ - -| Apache Solr -| 3 -| -| -| Search -| -| https://solr.apache.org/ - -| Apache Phoenix -| 3 -| -| -| SQL Engine -| -| https://phoenix.apache.org/ - -| Apache Zeppelin -| 3 -| -| -| Data Visualisation -| -| https://zeppelin.apache.org/ - -| OpenSearch -| 3 -| -| -| Search -| -| https://www.opensearch.org/ - -| Presto/Trino -| 3 -| -| -| SQL Engine -| -| https://trino.io/ - - -| Apache Atlas -| 4 -| -| Metadata and Lineage -| -| -| https://atlas.apache.org/ - -| Apache Knox -| 4 -| -| -| Security -| -| https://knox.apache.org/ - -| Apache Kudu -| 4 -| -| -| Storage -| -| https://kudu.apache.org/ - -| Apache Ozone -| 4 -| -| -| Storage -| -| https://ozone.apache.org/ - -| ElasticSearch -| 4 -| -| -| Search -| -| https://www.elastic.co/ - -|=== - diff --git a/package-lock.json b/package-lock.json index b57b28212..8e5d70393 100644 --- a/package-lock.json +++ b/package-lock.json @@ 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b/supplemental_ui/js/vendor/lunr.js deleted file mode 100644 index c3537658a..000000000 --- a/supplemental_ui/js/vendor/lunr.js +++ /dev/null @@ -1,3475 +0,0 @@ -/** - * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.8 - * Copyright (C) 2019 Oliver Nightingale - * @license MIT - */ - -;(function(){ - -/** - * A convenience function for configuring and constructing - * a new lunr Index. - * - * A lunr.Builder instance is created and the pipeline setup - * with a trimmer, stop word filter and stemmer. - * - * This builder object is yielded to the configuration function - * that is passed as a parameter, allowing the list of fields - * and other builder parameters to be customised. - * - * All documents _must_ be added within the passed config function. - * - * @example - * var idx = lunr(function () { - * this.field('title') - * this.field('body') - * this.ref('id') - * - * documents.forEach(function (doc) { - * this.add(doc) - * }, this) - * }) - * - * @see {@link lunr.Builder} - * @see {@link lunr.Pipeline} - * @see {@link lunr.trimmer} - * @see {@link lunr.stopWordFilter} - * @see {@link lunr.stemmer} - * @namespace {function} lunr - */ -var lunr = function (config) { - var builder = new lunr.Builder - - builder.pipeline.add( - lunr.trimmer, - lunr.stopWordFilter, - lunr.stemmer - ) - - builder.searchPipeline.add( - lunr.stemmer - ) - - config.call(builder, builder) - return builder.build() -} - -lunr.version = "2.3.8" -/*! - * lunr.utils - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * A namespace containing utils for the rest of the lunr library - * @namespace lunr.utils - */ -lunr.utils = {} - -/** - * Print a warning message to the console. - * - * @param {String} message The message to be printed. - * @memberOf lunr.utils - * @function - */ -lunr.utils.warn = (function (global) { - /* eslint-disable no-console */ - return function (message) { - if (global.console && console.warn) { - console.warn(message) - } - } - /* eslint-enable no-console */ -})(this) - -/** - * Convert an object to a string. - * - * In the case of `null` and `undefined` the function returns - * the empty string, in all other cases the result of calling - * `toString` on the passed object is returned. - * - * @param {Any} obj The object to convert to a string. - * @return {String} string representation of the passed object. - * @memberOf lunr.utils - */ -lunr.utils.asString = function (obj) { - if (obj === void 0 || obj === null) { - return "" - } else { - return obj.toString() - } -} - -/** - * Clones an object. - * - * Will create a copy of an existing object such that any mutations - * on the copy cannot affect the original. - * - * Only shallow objects are supported, passing a nested object to this - * function will cause a TypeError. - * - * Objects with primitives, and arrays of primitives are supported. - * - * @param {Object} obj The object to clone. - * @return {Object} a clone of the passed object. - * @throws {TypeError} when a nested object is passed. - * @memberOf Utils - */ -lunr.utils.clone = function (obj) { - if (obj === null || obj === undefined) { - return obj - } - - var clone = Object.create(null), - keys = Object.keys(obj) - - for (var i = 0; i < keys.length; i++) { - var key = keys[i], - val = obj[key] - - if (Array.isArray(val)) { - clone[key] = val.slice() - continue - } - - if (typeof val === 'string' || - typeof val === 'number' || - typeof val === 'boolean') { - clone[key] = val - continue - } - - throw new TypeError("clone is not deep and does not support nested objects") - } - - return clone -} -lunr.FieldRef = function (docRef, fieldName, stringValue) { - this.docRef = docRef - this.fieldName = fieldName - this._stringValue = stringValue -} - -lunr.FieldRef.joiner = "/" - -lunr.FieldRef.fromString = function (s) { - var n = s.indexOf(lunr.FieldRef.joiner) - - if (n === -1) { - throw "malformed field ref string" - } - - var fieldRef = s.slice(0, n), - docRef = s.slice(n + 1) - - return new lunr.FieldRef (docRef, fieldRef, s) -} - -lunr.FieldRef.prototype.toString = function () { - if (this._stringValue == undefined) { - this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef - } - - return this._stringValue -} -/*! - * lunr.Set - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * A lunr set. - * - * @constructor - */ -lunr.Set = function (elements) { - this.elements = Object.create(null) - - if (elements) { - this.length = elements.length - - for (var i = 0; i < this.length; i++) { - this.elements[elements[i]] = true - } - } else { - this.length = 0 - } -} - -/** - * A complete set that contains all elements. - * - * @static - * @readonly - * @type {lunr.Set} - */ -lunr.Set.complete = { - intersect: function (other) { - return other - }, - - union: function (other) { - return other - }, - - contains: function () { - return true - } -} - -/** - * An empty set that contains no elements. - * - * @static - * @readonly - * @type {lunr.Set} - */ -lunr.Set.empty = { - intersect: function () { - return this - }, - - union: function (other) { - return other - }, - - contains: function () { - return false - } -} - -/** - * Returns true if this set contains the specified object. - * - * @param {object} object - Object whose presence in this set is to be tested. - * @returns {boolean} - True if this set contains the specified object. - */ -lunr.Set.prototype.contains = function (object) { - return !!this.elements[object] -} - -/** - * Returns a new set containing only the elements that are present in both - * this set and the specified set. - * - * @param {lunr.Set} other - set to intersect with this set. - * @returns {lunr.Set} a new set that is the intersection of this and the specified set. - */ - -lunr.Set.prototype.intersect = function (other) { - var a, b, elements, intersection = [] - - if (other === lunr.Set.complete) { - return this - } - - if (other === lunr.Set.empty) { - return other - } - - if (this.length < other.length) { - a = this - b = other - } else { - a = other - b = this - } - - elements = Object.keys(a.elements) - - for (var i = 0; i < elements.length; i++) { - var element = elements[i] - if (element in b.elements) { - intersection.push(element) - } - } - - return new lunr.Set (intersection) -} - -/** - * Returns a new set combining the elements of this and the specified set. - * - * @param {lunr.Set} other - set to union with this set. - * @return {lunr.Set} a new set that is the union of this and the specified set. - */ - -lunr.Set.prototype.union = function (other) { - if (other === lunr.Set.complete) { - return lunr.Set.complete - } - - if (other === lunr.Set.empty) { - return this - } - - return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements))) -} -/** - * A function to calculate the inverse document frequency for - * a posting. This is shared between the builder and the index - * - * @private - * @param {object} posting - The posting for a given term - * @param {number} documentCount - The total number of documents. - */ -lunr.idf = function (posting, documentCount) { - var documentsWithTerm = 0 - - for (var fieldName in posting) { - if (fieldName == '_index') continue // Ignore the term index, its not a field - documentsWithTerm += Object.keys(posting[fieldName]).length - } - - var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5) - - return Math.log(1 + Math.abs(x)) -} - -/** - * A token wraps a string representation of a token - * as it is passed through the text processing pipeline. - * - * @constructor - * @param {string} [str=''] - The string token being wrapped. - * @param {object} [metadata={}] - Metadata associated with this token. - */ -lunr.Token = function (str, metadata) { - this.str = str || "" - this.metadata = metadata || {} -} - -/** - * Returns the token string that is being wrapped by this object. - * - * @returns {string} - */ -lunr.Token.prototype.toString = function () { - return this.str -} - -/** - * A token update function is used when updating or optionally - * when cloning a token. - * - * @callback lunr.Token~updateFunction - * @param {string} str - The string representation of the token. - * @param {Object} metadata - All metadata associated with this token. - */ - -/** - * Applies the given function to the wrapped string token. - * - * @example - * token.update(function (str, metadata) { - * return str.toUpperCase() - * }) - * - * @param {lunr.Token~updateFunction} fn - A function to apply to the token string. - * @returns {lunr.Token} - */ -lunr.Token.prototype.update = function (fn) { - this.str = fn(this.str, this.metadata) - return this -} - -/** - * Creates a clone of this token. Optionally a function can be - * applied to the cloned token. - * - * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token. - * @returns {lunr.Token} - */ -lunr.Token.prototype.clone = function (fn) { - fn = fn || function (s) { return s } - return new lunr.Token (fn(this.str, this.metadata), this.metadata) -} -/*! - * lunr.tokenizer - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * A function for splitting a string into tokens ready to be inserted into - * the search index. Uses `lunr.tokenizer.separator` to split strings, change - * the value of this property to change how strings are split into tokens. - * - * This tokenizer will convert its parameter to a string by calling `toString` and - * then will split this string on the character in `lunr.tokenizer.separator`. - * Arrays will have their elements converted to strings and wrapped in a lunr.Token. - * - * Optional metadata can be passed to the tokenizer, this metadata will be cloned and - * added as metadata to every token that is created from the object to be tokenized. - * - * @static - * @param {?(string|object|object[])} obj - The object to convert into tokens - * @param {?object} metadata - Optional metadata to associate with every token - * @returns {lunr.Token[]} - * @see {@link lunr.Pipeline} - */ -lunr.tokenizer = function (obj, metadata) { - if (obj == null || obj == undefined) { - return [] - } - - if (Array.isArray(obj)) { - return obj.map(function (t) { - return new lunr.Token( - lunr.utils.asString(t).toLowerCase(), - lunr.utils.clone(metadata) - ) - }) - } - - var str = obj.toString().toLowerCase(), - len = str.length, - tokens = [] - - for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) { - var char = str.charAt(sliceEnd), - sliceLength = sliceEnd - sliceStart - - if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) { - - if (sliceLength > 0) { - var tokenMetadata = lunr.utils.clone(metadata) || {} - tokenMetadata["position"] = [sliceStart, sliceLength] - tokenMetadata["index"] = tokens.length - - tokens.push( - new lunr.Token ( - str.slice(sliceStart, sliceEnd), - tokenMetadata - ) - ) - } - - sliceStart = sliceEnd + 1 - } - - } - - return tokens -} - -/** - * The separator used to split a string into tokens. Override this property to change the behaviour of - * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens. - * - * @static - * @see lunr.tokenizer - */ -lunr.tokenizer.separator = /[\s\-]+/ -/*! - * lunr.Pipeline - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * lunr.Pipelines maintain an ordered list of functions to be applied to all - * tokens in documents entering the search index and queries being ran against - * the index. - * - * An instance of lunr.Index created with the lunr shortcut will contain a - * pipeline with a stop word filter and an English language stemmer. Extra - * functions can be added before or after either of these functions or these - * default functions can be removed. - * - * When run the pipeline will call each function in turn, passing a token, the - * index of that token in the original list of all tokens and finally a list of - * all the original tokens. - * - * The output of functions in the pipeline will be passed to the next function - * in the pipeline. To exclude a token from entering the index the function - * should return undefined, the rest of the pipeline will not be called with - * this token. - * - * For serialisation of pipelines to work, all functions used in an instance of - * a pipeline should be registered with lunr.Pipeline. Registered functions can - * then be loaded. If trying to load a serialised pipeline that uses functions - * that are not registered an error will be thrown. - * - * If not planning on serialising the pipeline then registering pipeline functions - * is not necessary. - * - * @constructor - */ -lunr.Pipeline = function () { - this._stack = [] -} - -lunr.Pipeline.registeredFunctions = Object.create(null) - -/** - * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token - * string as well as all known metadata. A pipeline function can mutate the token string - * or mutate (or add) metadata for a given token. - * - * A pipeline function can indicate that the passed token should be discarded by returning - * null, 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) 2019 Oliver Nightingale - */ - -/** - * A vector is used to construct the vector space of documents and queries. These - * vectors support operations to determine the similarity between two documents or - * a document and a query. - * - * Normally no parameters are required for initializing a vector, but in the case of - * loading a previously dumped vector the raw elements can be provided to the constructor. - * - * For performance reasons vectors are implemented with a flat array, where an elements - * index is immediately followed by its value. E.g. [index, value, index, value]. This - * allows the underlying array to be as sparse as possible and still offer decent - * performance when being used for vector calculations. - * - * @constructor - * @param {Number[]} [elements] - The flat list of element index and element value pairs. - */ -lunr.Vector = function (elements) { - this._magnitude = 0 - this.elements = elements || [] -} - - -/** - * Calculates the position within the vector to insert a given index. - * - * This is used internally by insert and upsert. If there are duplicate indexes then - * the position is returned as if the value for that index were to be updated, but it - * is the callers responsibility to check whether there is a duplicate at that index - * - * @param {Number} insertIdx - The index at which the element should be inserted. - * @returns {Number} - */ -lunr.Vector.prototype.positionForIndex = function (index) { - // For an empty vector the tuple can be inserted at the beginning - if (this.elements.length == 0) { - return 0 - } - - var start = 0, - end = this.elements.length / 2, - sliceLength = end - start, - pivotPoint = Math.floor(sliceLength / 2), - pivotIndex = this.elements[pivotPoint * 2] - - while (sliceLength > 1) { - if (pivotIndex < index) { - start = pivotPoint - } - - if (pivotIndex > index) { - end = pivotPoint - } - - if (pivotIndex == index) { - break - } - - sliceLength = end - start - pivotPoint = start + Math.floor(sliceLength / 2) - pivotIndex = this.elements[pivotPoint * 2] - } - - if (pivotIndex == index) { - return pivotPoint * 2 - } - - if (pivotIndex > index) { - return pivotPoint * 2 - } - - if (pivotIndex < index) { - return (pivotPoint + 1) * 2 - } -} - -/** - * Inserts an element at an index within the vector. - * - * Does not allow duplicates, will throw an error if there is already an entry - * for this index. - * - * @param {Number} insertIdx - The index at which the element should be inserted. - * @param {Number} val - The value to be inserted into the vector. - */ -lunr.Vector.prototype.insert = function (insertIdx, val) { - this.upsert(insertIdx, val, function () { - throw "duplicate index" - }) -} - -/** - * Inserts or updates an existing index within the vector. - * - * @param {Number} insertIdx - The index at which the element should be inserted. - * @param {Number} val - The value to be inserted into the vector. - * @param {function} fn - A function that is called for updates, the existing value and the - * requested value are passed as arguments - */ -lunr.Vector.prototype.upsert = function (insertIdx, val, fn) { - this._magnitude = 0 - var position = this.positionForIndex(insertIdx) - - if (this.elements[position] == insertIdx) { - this.elements[position + 1] = fn(this.elements[position + 1], val) - } else { - this.elements.splice(position, 0, insertIdx, val) - } -} - -/** - * Calculates the magnitude of this vector. - * - * @returns {Number} - */ -lunr.Vector.prototype.magnitude = function () { - if (this._magnitude) return this._magnitude - - var sumOfSquares = 0, - elementsLength = this.elements.length - - for (var i = 1; i < elementsLength; i += 2) { - var val = this.elements[i] - sumOfSquares += val * val - } - - return this._magnitude = Math.sqrt(sumOfSquares) -} - -/** - * Calculates the dot product of this vector and another vector. - * - * @param {lunr.Vector} otherVector - The vector to compute the dot product with. - * @returns {Number} - */ -lunr.Vector.prototype.dot = function (otherVector) { - var dotProduct = 0, - a = this.elements, b = otherVector.elements, - aLen = a.length, bLen = b.length, - aVal = 0, bVal = 0, - i = 0, j = 0 - - while (i < aLen && j < bLen) { - aVal = a[i], bVal = b[j] - if (aVal < bVal) { - i += 2 - } else if (aVal > bVal) { - j += 2 - } else if (aVal == bVal) { - dotProduct += a[i + 1] * b[j + 1] - i += 2 - j += 2 - } - } - - return dotProduct -} - -/** - * Calculates the similarity between this vector and another vector. - * - * @param {lunr.Vector} otherVector - The other vector to calculate the - * similarity with. - * @returns {Number} - */ -lunr.Vector.prototype.similarity = function (otherVector) { - return this.dot(otherVector) / this.magnitude() || 0 -} - -/** - * Converts the vector to an array of the elements within the vector. - * - * @returns {Number[]} - */ -lunr.Vector.prototype.toArray = function () { - var output = new Array (this.elements.length / 2) - - for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) { - output[j] = this.elements[i] - } - - return output -} - -/** - * A JSON serializable representation of the vector. - * - * @returns {Number[]} - */ -lunr.Vector.prototype.toJSON = function () { - return this.elements -} -/* eslint-disable */ -/*! - * lunr.stemmer - * Copyright (C) 2019 Oliver Nightingale - * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt - */ - -/** - * lunr.stemmer is an english language stemmer, this is a JavaScript - * implementation of the PorterStemmer taken from http://tartarus.org/~martin - * - * @static - * @implements {lunr.PipelineFunction} - * @param {lunr.Token} token - The string to stem - * @returns {lunr.Token} - * @see {@link lunr.Pipeline} - * @function - */ -lunr.stemmer = (function(){ - var step2list = { - "ational" : "ate", - "tional" : "tion", - "enci" : "ence", - "anci" : "ance", - "izer" : "ize", - "bli" : "ble", - "alli" : "al", - "entli" : "ent", - "eli" : "e", - "ousli" : "ous", - "ization" : "ize", - "ation" : "ate", - "ator" : "ate", - "alism" : "al", - "iveness" : "ive", - "fulness" : "ful", - "ousness" : "ous", - "aliti" : "al", - "iviti" : "ive", - "biliti" : "ble", - "logi" : "log" - }, - - step3list = { - "icate" : "ic", - "ative" : "", - "alize" : "al", - "iciti" : "ic", - "ical" : "ic", - "ful" : "", - "ness" : "" - }, - - c = "[^aeiou]", // consonant - v = "[aeiouy]", // vowel - C = c + "[^aeiouy]*", // consonant sequence - V = v + "[aeiou]*", // vowel sequence - - mgr0 = "^(" + C + ")?" + V + C, // [C]VC... is m>0 - meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$", // [C]VC[V] is m=1 - mgr1 = "^(" + C + ")?" + V + C + V + C, // [C]VCVC... is m>1 - s_v = "^(" + C + ")?" + v; // vowel in stem - - var re_mgr0 = new RegExp(mgr0); - var re_mgr1 = new RegExp(mgr1); - var re_meq1 = new RegExp(meq1); - var re_s_v = new RegExp(s_v); - - var re_1a = /^(.+?)(ss|i)es$/; - var re2_1a = /^(.+?)([^s])s$/; - var re_1b = /^(.+?)eed$/; - var re2_1b = /^(.+?)(ed|ing)$/; - var re_1b_2 = /.$/; - var re2_1b_2 = /(at|bl|iz)$/; - var re3_1b_2 = new RegExp("([^aeiouylsz])\\1$"); - var re4_1b_2 = new RegExp("^" + C + v + "[^aeiouwxy]$"); - - var re_1c = /^(.+?[^aeiou])y$/; - var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; - - var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; - - var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; - var re2_4 = /^(.+?)(s|t)(ion)$/; - - var re_5 = /^(.+?)e$/; - var re_5_1 = /ll$/; - var re3_5 = new RegExp("^" + C + v + "[^aeiouwxy]$"); - - var porterStemmer = function porterStemmer(w) { - var stem, - suffix, - firstch, - re, - re2, - re3, - re4; - - if (w.length < 3) { return w; } - - firstch = w.substr(0,1); - if (firstch == "y") { - w = firstch.toUpperCase() + w.substr(1); - } - - // Step 1a - re = re_1a - re2 = re2_1a; - - if (re.test(w)) { w = w.replace(re,"$1$2"); } - else if (re2.test(w)) { w = w.replace(re2,"$1$2"); } - - // Step 1b - re = re_1b; - re2 = re2_1b; - if (re.test(w)) { - var fp = re.exec(w); - re = re_mgr0; - if (re.test(fp[1])) { - re = re_1b_2; - w = w.replace(re,""); - } - } else if (re2.test(w)) { - var fp = re2.exec(w); - stem = fp[1]; - re2 = re_s_v; - if (re2.test(stem)) { - w = stem; - re2 = re2_1b_2; - re3 = re3_1b_2; - re4 = re4_1b_2; - if (re2.test(w)) { w = w + "e"; } - else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,""); } - else if (re4.test(w)) { w = w + "e"; } - } - } - - // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say) - re = re_1c; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - w = stem + "i"; - } - - // Step 2 - re = re_2; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - suffix = fp[2]; - re = re_mgr0; - if (re.test(stem)) { - w = stem + step2list[suffix]; - } - } - - // Step 3 - re = re_3; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - suffix = fp[2]; - re = re_mgr0; - if (re.test(stem)) { - w = stem + step3list[suffix]; - } - } - - // Step 4 - re = re_4; - re2 = re2_4; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = re_mgr1; - if (re.test(stem)) { - w = stem; - } - } else if (re2.test(w)) { - var fp = re2.exec(w); - stem = fp[1] + fp[2]; - re2 = re_mgr1; - if (re2.test(stem)) { - w = stem; - } - } - - // Step 5 - re = re_5; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = re_mgr1; - re2 = re_meq1; - re3 = re3_5; - if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) { - w = stem; - } - } - - re = re_5_1; - re2 = re_mgr1; - if (re.test(w) && re2.test(w)) { - re = re_1b_2; - w = w.replace(re,""); - } - - // and turn initial Y back to y - - if (firstch == "y") { - w = firstch.toLowerCase() + w.substr(1); - } - - return w; - }; - - return function (token) { - return token.update(porterStemmer); - } -})(); - -lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer') -/*! - * lunr.stopWordFilter - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * lunr.generateStopWordFilter builds a stopWordFilter function from the provided - * list of stop words. - * - * The built in lunr.stopWordFilter is built using this generator and can be used - * to generate custom stopWordFilters for applications or non English languages. - * - * @function - * @param {Array} token The token to pass through the filter - * @returns {lunr.PipelineFunction} - * @see lunr.Pipeline - * @see lunr.stopWordFilter - */ -lunr.generateStopWordFilter = function (stopWords) { - var words = stopWords.reduce(function (memo, stopWord) { - memo[stopWord] = stopWord - return memo - }, {}) - - return function (token) { - if (token && words[token.toString()] !== token.toString()) return token - } -} - -/** - * lunr.stopWordFilter is an English language stop word list filter, any words - * contained in the list will not be passed through the filter. - * - * This is intended to be used in the Pipeline. If the token does not pass the - * filter then undefined will be returned. - * - * @function - * @implements {lunr.PipelineFunction} - * @params {lunr.Token} token - A token to check for being a stop word. - * @returns {lunr.Token} - * @see {@link lunr.Pipeline} - */ -lunr.stopWordFilter = lunr.generateStopWordFilter([ - 'a', - 'able', - 'about', - 'across', - 'after', - 'all', - 'almost', - 'also', - 'am', - 'among', - 'an', - 'and', - 'any', - 'are', - 'as', - 'at', - 'be', - 'because', - 'been', - 'but', - 'by', - 'can', - 'cannot', - 'could', - 'dear', - 'did', - 'do', - 'does', - 'either', - 'else', - 'ever', - 'every', - 'for', - 'from', - 'get', - 'got', - 'had', - 'has', - 'have', - 'he', - 'her', - 'hers', - 'him', - 'his', - 'how', - 'however', - 'i', - 'if', - 'in', - 'into', - 'is', - 'it', - 'its', - 'just', - 'least', - 'let', - 'like', - 'likely', - 'may', - 'me', - 'might', - 'most', - 'must', - 'my', - 'neither', - 'no', - 'nor', - 'not', - 'of', - 'off', - 'often', - 'on', - 'only', - 'or', - 'other', - 'our', - 'own', - 'rather', - 'said', - 'say', - 'says', - 'she', - 'should', - 'since', - 'so', - 'some', - 'than', - 'that', - 'the', - 'their', - 'them', - 'then', - 'there', - 'these', - 'they', - 'this', - 'tis', - 'to', - 'too', - 'twas', - 'us', - 'wants', - 'was', - 'we', - 'were', - 'what', - 'when', - 'where', - 'which', - 'while', - 'who', - 'whom', - 'why', - 'will', - 'with', - 'would', - 'yet', - 'you', - 'your' -]) - -lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter') -/*! - * lunr.trimmer - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * lunr.trimmer is a pipeline function for trimming non word - * characters from the beginning and end of tokens before they - * enter the index. - * - * This implementation may not work correctly for non latin - * characters and should either be removed or adapted for use - * with languages with non-latin characters. - * - * @static - * @implements {lunr.PipelineFunction} - * @param {lunr.Token} token The token to pass through the filter - * @returns {lunr.Token} - * @see lunr.Pipeline - */ -lunr.trimmer = function (token) { - return token.update(function (s) { - return s.replace(/^\W+/, '').replace(/\W+$/, '') - }) -} - -lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer') -/*! - * lunr.TokenSet - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * A token set is used to store the unique list of all tokens - * within an index. Token sets are also used to represent an - * incoming query to the index, this query token set and index - * token set are then intersected to find which tokens to look - * up in the inverted index. - * - * A token set can hold multiple tokens, as in the case of the - * index token set, or it can hold a single token as in the - * case of a simple query token set. - * - * Additionally token sets are used to perform wildcard matching. - * Leading, contained and trailing wildcards are supported, and - * from this edit distance matching can also be provided. - * - * Token sets are implemented as a minimal finite state automata, - * where both common prefixes and suffixes are shared between tokens. - * This helps to reduce the space used for storing the token set. - * - * @constructor - */ -lunr.TokenSet = function () { - this.final = false - this.edges = {} - this.id = lunr.TokenSet._nextId - lunr.TokenSet._nextId += 1 -} - -/** - * Keeps track of the next, auto increment, identifier to assign - * to a new tokenSet. - * - * TokenSets require a unique identifier to be correctly minimised. - * - * @private - */ -lunr.TokenSet._nextId = 1 - -/** - * Creates a TokenSet instance from the given sorted array of words. - * - * @param {String[]} arr - A sorted array of strings to create the set from. - * @returns {lunr.TokenSet} - * @throws Will throw an error if the input array is not sorted. - */ -lunr.TokenSet.fromArray = function (arr) { - var builder = new lunr.TokenSet.Builder - - for (var i = 0, len = arr.length; i < len; i++) { - builder.insert(arr[i]) - } - - builder.finish() - return builder.root -} - -/** - * Creates a token set from a query clause. - * - * @private - * @param {Object} clause - A single clause from lunr.Query. - * @param {string} clause.term - The query clause term. - * @param {number} [clause.editDistance] - The optional edit distance for the term. - * @returns {lunr.TokenSet} - */ -lunr.TokenSet.fromClause = function (clause) { - if ('editDistance' in clause) { - return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance) - } else { - return lunr.TokenSet.fromString(clause.term) - } -} - -/** - * Creates a token set representing a single string with a specified - * edit distance. - * - * Insertions, deletions, substitutions and transpositions are each - * treated as an edit distance of 1. - * - * Increasing the allowed edit distance will have a dramatic impact - * on the performance of both creating and intersecting these TokenSets. - * It is advised to keep the edit distance less than 3. - * - * @param {string} str - The string to create the token set from. - * @param {number} editDistance - The allowed edit distance to match. - * @returns {lunr.Vector} - */ -lunr.TokenSet.fromFuzzyString = function (str, editDistance) { - var root = new lunr.TokenSet - - var stack = [{ - node: root, - editsRemaining: editDistance, - str: str - }] - - while (stack.length) { - var frame = stack.pop() - - // no edit - if (frame.str.length > 0) { - var char = frame.str.charAt(0), - noEditNode - - if (char in frame.node.edges) { - noEditNode = frame.node.edges[char] - } else { - noEditNode = new lunr.TokenSet - frame.node.edges[char] = noEditNode - } - - if (frame.str.length == 1) { - noEditNode.final = true - } - - stack.push({ - node: noEditNode, - editsRemaining: frame.editsRemaining, - str: frame.str.slice(1) - }) - } - - if (frame.editsRemaining == 0) { - continue - } - - // insertion - if ("*" in frame.node.edges) { - var insertionNode = frame.node.edges["*"] - } else { - var insertionNode = new lunr.TokenSet - frame.node.edges["*"] = insertionNode - } - - if (frame.str.length == 0) { - insertionNode.final = true - } - - stack.push({ - node: insertionNode, - editsRemaining: frame.editsRemaining - 1, - str: frame.str - }) - - // deletion - // can only do a deletion if we have enough edits remaining - // and if there are characters left to delete in the string - if (frame.str.length > 1) { - stack.push({ - node: frame.node, - editsRemaining: frame.editsRemaining - 1, - str: frame.str.slice(1) - }) - } - - // deletion - // just removing the last character from the str - if (frame.str.length == 1) { - frame.node.final = true - } - - // substitution - // can only do a substitution if we have enough edits remaining - // and if there are characters left to substitute - if (frame.str.length >= 1) { - if ("*" in frame.node.edges) { - var substitutionNode = frame.node.edges["*"] - } else { - var substitutionNode = new lunr.TokenSet - frame.node.edges["*"] = substitutionNode - } - - if (frame.str.length == 1) { - substitutionNode.final = true - } - - stack.push({ - node: substitutionNode, - editsRemaining: frame.editsRemaining - 1, - str: frame.str.slice(1) - }) - } - - // transposition - // can only do a transposition if there are edits remaining - // and there are enough characters to transpose - if (frame.str.length > 1) { - var charA = frame.str.charAt(0), - charB = frame.str.charAt(1), - transposeNode - - if (charB in frame.node.edges) { - transposeNode = frame.node.edges[charB] - } else { - transposeNode = new lunr.TokenSet - frame.node.edges[charB] = transposeNode - } - - if (frame.str.length == 1) { - transposeNode.final = true - } - - stack.push({ - node: transposeNode, - editsRemaining: frame.editsRemaining - 1, - str: charA + frame.str.slice(2) - }) - } - } - - return root -} - -/** - * Creates a TokenSet from a string. - * - * The string may contain one or more wildcard characters (*) - * that will allow wildcard matching when intersecting with - * another TokenSet. - * - * @param {string} str - The string to create a TokenSet from. - * @returns {lunr.TokenSet} - */ -lunr.TokenSet.fromString = function (str) { - var node = new lunr.TokenSet, - root = node - - /* - * Iterates through all characters within the passed string - * appending a node for each character. - * - * When a wildcard character is found then a self - * referencing edge is introduced to continually match - * any number of any characters. - */ - for (var i = 0, len = str.length; i < len; i++) { - var char = str[i], - final = (i == len - 1) - - if (char == "*") { - node.edges[char] = node - node.final = final - - } else { - var next = new lunr.TokenSet - next.final = final - - node.edges[char] = next - node = next - } - } - - return root -} - -/** - * Converts this TokenSet into an array of strings - * contained within the TokenSet. - * - * 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) 2019 Oliver Nightingale - */ - -/** - * An index contains the built index of all documents and provides a query interface - * to the index. - * - * Usually instances of lunr.Index will not be created using this constructor, instead - * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be - * used to load previously built and serialized indexes. - * - * @constructor - * @param {Object} attrs - The attributes of the built search index. - * @param {Object} attrs.invertedIndex - An index of term/field to document reference. - * @param {Object} attrs.fieldVectors - Field vectors - * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens. - * @param {string[]} attrs.fields - The names of indexed document fields. - * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms. - */ -lunr.Index = function (attrs) { - this.invertedIndex = attrs.invertedIndex - this.fieldVectors = attrs.fieldVectors - this.tokenSet = attrs.tokenSet - this.fields = attrs.fields - this.pipeline = attrs.pipeline -} - -/** - * A result contains details of a document matching a search query. - * @typedef {Object} lunr.Index~Result - * @property {string} ref - The reference of the document this result represents. - * @property {number} score - A number between 0 and 1 representing how similar this document is to the query. - * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match. - */ - -/** - * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple - * query language which itself is parsed into an instance of lunr.Query. - * - * For programmatically building queries it is advised to directly use lunr.Query, the query language - * is best used for human entered text rather than program generated text. - * - * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported - * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello' - * or 'world', though those that contain both will rank higher in the results. - * - * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can - * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding - * wildcards will increase the number of documents that will be found but can also have a negative - * impact on query performance, especially with wildcards at the beginning of a term. - * - * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term - * hello in the title field will match this query. Using a field not present in the index will lead - * to an error being thrown. - * - * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term - * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported - * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2. - * Avoid large values for edit distance to improve query performance. - * - * Each term also supports a presence modifier. By default a term's presence in document is optional, however - * this can be changed to either required or prohibited. For a term's presence to be required in a document the - * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and - * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not - * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'. - * - * To escape special characters the backslash character '\' can be used, this allows searches to include - * characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead - * of attempting to apply a boost of 2 to the search term "foo". - * - * @typedef {string} lunr.Index~QueryString - * @example Simple single term query - * hello - * @example Multiple term query - * hello world - * @example term scoped to a field - * title:hello - * @example term with a boost of 10 - * hello^10 - * @example term with an edit distance of 2 - * hello~2 - * @example terms with presence modifiers - * -foo +bar baz - */ - -/** - * Performs a search against the index using lunr query syntax. - * - * Results will be returned sorted by their score, the most relevant results - * will be returned first. For details on how the score is calculated, please see - * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}. - * - * For more programmatic querying use lunr.Index#query. - * - * @param {lunr.Index~QueryString} queryString - A string containing a lunr query. - * @throws {lunr.QueryParseError} If the passed query string cannot be parsed. - * @returns {lunr.Index~Result[]} - */ -lunr.Index.prototype.search = function (queryString) { - return this.query(function (query) { - var parser = new lunr.QueryParser(queryString, query) - parser.parse() - }) -} - -/** - * A query builder callback provides a query object to be used to express - * the query to perform on the index. - * - * @callback lunr.Index~queryBuilder - * @param {lunr.Query} query - The query object to build up. - * @this lunr.Query - */ - -/** - * Performs a query against the index using the yielded lunr.Query object. - * - * If performing programmatic queries against the index, this method is preferred - * over lunr.Index#search so as to avoid the additional query parsing overhead. - * - * A query object is yielded to the supplied function which should be used to - * express the query to be run against the index. - * - * Note that although this function takes a callback parameter it is _not_ an - * asynchronous operation, the callback is just yielded a query object to be - * customized. - * - * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query. - * @returns {lunr.Index~Result[]} - */ -lunr.Index.prototype.query = function (fn) { - // for each query clause - // * process terms - // * expand terms from token set - // * find matching documents and metadata - // * get document vectors - // * score documents - - var query = new lunr.Query(this.fields), - matchingFields = Object.create(null), - queryVectors = Object.create(null), - termFieldCache = Object.create(null), - requiredMatches = Object.create(null), - prohibitedMatches = Object.create(null) - - /* - * To support field level boosts a query vector is created per - * field. An empty vector is eagerly created to support negated - * queries. - */ - for (var i = 0; i < this.fields.length; i++) { - queryVectors[this.fields[i]] = new lunr.Vector - } - - fn.call(query, query) - - for (var i = 0; i < query.clauses.length; i++) { - /* - * Unless the pipeline has been disabled for this term, which is - * the case for terms with wildcards, we need to pass the clause - * term through the search pipeline. A pipeline returns an array - * of processed terms. Pipeline functions may expand the passed - * term, which means we may end up performing multiple index lookups - * for a single query term. - */ - var clause = query.clauses[i], - terms = null, - clauseMatches = lunr.Set.complete - - if (clause.usePipeline) { - terms = this.pipeline.runString(clause.term, { - fields: clause.fields - }) - } else { - terms = [clause.term] - } - - for (var m = 0; m < terms.length; m++) { - var term = terms[m] - - /* - * Each term returned from the pipeline needs to use the same query - * clause object, e.g. the same boost and or edit distance. The - * simplest way to do this is to re-use the clause object but mutate - * its term property. - */ - clause.term = term - - /* - * From the term in the clause we create a token set which will then - * be used to intersect the indexes token set to get a list of terms - * to lookup in the inverted index - */ - var termTokenSet = lunr.TokenSet.fromClause(clause), - expandedTerms = this.tokenSet.intersect(termTokenSet).toArray() - - /* - * If a term marked as required does not exist in the tokenSet it is - * impossible for the search to return any matches. We set all the field - * scoped required matches set to empty and stop examining any further - * clauses. - */ - if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) { - for (var k = 0; k < clause.fields.length; k++) { - var field = clause.fields[k] - requiredMatches[field] = lunr.Set.empty - } - - break - } - - for (var j = 0; j < expandedTerms.length; j++) { - /* - * For each term get the posting and termIndex, this is required for - * building the query vector. - */ - var expandedTerm = expandedTerms[j], - posting = this.invertedIndex[expandedTerm], - termIndex = posting._index - - for (var k = 0; k < clause.fields.length; k++) { - /* - * For each field that this query term is scoped by (by default - * all fields are in scope) we need to get all the document refs - * that have this term in that field. - * - * The posting is the entry in the invertedIndex for the matching - * term from above. - */ - var field = clause.fields[k], - fieldPosting = posting[field], - matchingDocumentRefs = Object.keys(fieldPosting), - termField = expandedTerm + "/" + field, - matchingDocumentsSet = new lunr.Set(matchingDocumentRefs) - - /* - * if the presence of this term is required ensure that the matching - * documents are added to the set of required matches for this clause. - * - */ - if (clause.presence == lunr.Query.presence.REQUIRED) { - clauseMatches = clauseMatches.union(matchingDocumentsSet) - - if (requiredMatches[field] === undefined) { - requiredMatches[field] = lunr.Set.complete - } - } - - /* - * if the presence of this term is prohibited ensure that the matching - * documents are added to the set of prohibited matches for this field, - * creating that set if it does not yet exist. - */ - if (clause.presence == lunr.Query.presence.PROHIBITED) { - if (prohibitedMatches[field] === undefined) { - prohibitedMatches[field] = lunr.Set.empty - } - - prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet) - - /* - * Prohibited matches should not be part of the query vector used for - * similarity scoring and no metadata should be extracted so we continue - * to the next field - */ - continue - } - - /* - * The query field vector is populated using the termIndex found for - * the term and a unit value with the appropriate boost applied. - * Using upsert because there could already be an entry in the vector - * for the term we are working with. In that case we just add the scores - * together. - */ - queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b }) - - /** - * If we've already seen this term, field combo then we've already collected - * the matching documents and metadata, no need to go through all that again - */ - if (termFieldCache[termField]) { - continue - } - - for (var l = 0; l < matchingDocumentRefs.length; l++) { - /* - * All metadata for this term/field/document triple - * are then extracted and collected into an instance - * of lunr.MatchData ready to be returned in the query - * results - */ - var matchingDocumentRef = matchingDocumentRefs[l], - matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field), - metadata = fieldPosting[matchingDocumentRef], - fieldMatch - - if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) { - matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata) - } else { - fieldMatch.add(expandedTerm, field, metadata) - } - - } - - termFieldCache[termField] = true - } - } - } - - /** - * If the presence was required we need to update the requiredMatches field sets. - * We do this after all fields for the term have collected their matches because - * the clause terms presence is required in _any_ of the fields not _all_ of the - * fields. - */ - if (clause.presence === lunr.Query.presence.REQUIRED) { - for (var k = 0; k < clause.fields.length; k++) { - var field = clause.fields[k] - requiredMatches[field] = requiredMatches[field].intersect(clauseMatches) - } - } - } - - /** - * Need to combine the field scoped required and prohibited - * matching documents into a global set of required and prohibited - * matches - */ - var allRequiredMatches = lunr.Set.complete, - allProhibitedMatches = lunr.Set.empty - - for (var i = 0; i < this.fields.length; i++) { - var field = this.fields[i] - - if (requiredMatches[field]) { - allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field]) - } - - if (prohibitedMatches[field]) { - allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field]) - } - } - - var matchingFieldRefs = Object.keys(matchingFields), - results = [], - matches = Object.create(null) - - /* - * If the query is negated (contains only prohibited terms) - * we need to get _all_ fieldRefs currently existing in the - * index. This is only done when we know that the query is - * entirely prohibited terms to avoid any cost of getting all - * fieldRefs unnecessarily. - * - * Additionally, blank MatchData must be created to correctly - * populate the results. - */ - if (query.isNegated()) { - matchingFieldRefs = Object.keys(this.fieldVectors) - - for (var i = 0; i < matchingFieldRefs.length; i++) { - var matchingFieldRef = matchingFieldRefs[i] - var fieldRef = lunr.FieldRef.fromString(matchingFieldRef) - matchingFields[matchingFieldRef] = new lunr.MatchData - } - } - - for (var i = 0; i < matchingFieldRefs.length; i++) { - /* - * Currently we have document fields that match the query, but we - * need to return documents. The matchData and scores are combined - * from multiple fields belonging to the same document. - * - * Scores are calculated by field, using the query vectors created - * above, and combined into a final document score using addition. - */ - var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]), - docRef = fieldRef.docRef - - if (!allRequiredMatches.contains(docRef)) { - continue - } - - if (allProhibitedMatches.contains(docRef)) { - continue - } - - var fieldVector = this.fieldVectors[fieldRef], - score = queryVectors[fieldRef.fieldName].similarity(fieldVector), - docMatch - - if ((docMatch = matches[docRef]) !== undefined) { - docMatch.score += score - docMatch.matchData.combine(matchingFields[fieldRef]) - } else { - var match = { - ref: docRef, - score: score, - matchData: matchingFields[fieldRef] - } - matches[docRef] = match - results.push(match) - } - } - - /* - * Sort the results objects by score, highest first. - */ - return results.sort(function (a, b) { - return b.score - a.score - }) -} - -/** - * Prepares the index for JSON serialization. - * - * The schema for this JSON blob will be described in a - * separate JSON schema file. - * - * @returns {Object} - */ -lunr.Index.prototype.toJSON = function () { - var invertedIndex = Object.keys(this.invertedIndex) - .sort() - .map(function (term) { - return [term, this.invertedIndex[term]] - }, this) - - var fieldVectors = Object.keys(this.fieldVectors) - .map(function (ref) { - return [ref, this.fieldVectors[ref].toJSON()] - }, this) - - return { - version: lunr.version, - fields: this.fields, - fieldVectors: fieldVectors, - invertedIndex: invertedIndex, - pipeline: this.pipeline.toJSON() - } -} - -/** - * Loads a previously serialized lunr.Index - * - * @param {Object} serializedIndex - A previously serialized lunr.Index - * @returns {lunr.Index} - */ -lunr.Index.load = function (serializedIndex) { - var attrs = {}, - fieldVectors = {}, - serializedVectors = serializedIndex.fieldVectors, - invertedIndex = Object.create(null), - serializedInvertedIndex = serializedIndex.invertedIndex, - tokenSetBuilder = new lunr.TokenSet.Builder, - pipeline = lunr.Pipeline.load(serializedIndex.pipeline) - - if (serializedIndex.version != lunr.version) { - lunr.utils.warn("Version mismatch when loading serialised index. Current version of lunr '" + lunr.version + "' does not match serialized index '" + serializedIndex.version + "'") - } - - for (var i = 0; i < serializedVectors.length; i++) { - var tuple = serializedVectors[i], - ref = tuple[0], - elements = tuple[1] - - fieldVectors[ref] = new lunr.Vector(elements) - } - - for (var i = 0; i < serializedInvertedIndex.length; i++) { - var tuple = serializedInvertedIndex[i], - term = tuple[0], - posting = tuple[1] - - tokenSetBuilder.insert(term) - invertedIndex[term] = posting - } - - tokenSetBuilder.finish() - - attrs.fields = serializedIndex.fields - - attrs.fieldVectors = fieldVectors - attrs.invertedIndex = invertedIndex - attrs.tokenSet = tokenSetBuilder.root - attrs.pipeline = pipeline - - return new lunr.Index(attrs) -} -/*! - * lunr.Builder - * Copyright (C) 2019 Oliver Nightingale - */ - -/** - * lunr.Builder performs indexing on a set of documents and - * returns instances of lunr.Index ready for querying. - * - * All configuration of the index is done via the builder, the - * fields to index, the document reference, the text processing - * pipeline and document scoring parameters are all set on the - * builder before indexing. - * - * @constructor - * @property {string} _ref - Internal reference to the document reference field. - * @property {string[]} _fields - Internal reference to the document fields to index. - * @property {object} invertedIndex - The inverted index maps terms to document fields. - * @property {object} documentTermFrequencies - Keeps track of document term frequencies. - * @property {object} documentLengths - Keeps track of the length of documents added to the index. - * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing. - * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing. - * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index. - * @property {number} documentCount - Keeps track of the total number of documents indexed. - * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75. - * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2. - * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space. - * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index. - */ -lunr.Builder = function () { - this._ref = "id" - this._fields = Object.create(null) - this._documents = Object.create(null) - this.invertedIndex = Object.create(null) - this.fieldTermFrequencies = {} - this.fieldLengths = {} - this.tokenizer = lunr.tokenizer - this.pipeline = new lunr.Pipeline - this.searchPipeline = new lunr.Pipeline - this.documentCount = 0 - this._b = 0.75 - this._k1 = 1.2 - this.termIndex = 0 - this.metadataWhitelist = [] -} - -/** - * Sets the document field used as the document reference. Every document must have this field. - * The type of this field in the document should be a string, if it is not a string it will be - * coerced into a string by calling toString. - * - * The default ref is 'id'. - * - * The ref should _not_ be changed during indexing, it should be set before any documents are - * added to the index. Changing it during indexing can lead to inconsistent results. - * - * @param {string} ref - The name of the reference field in the document. - */ -lunr.Builder.prototype.ref = function (ref) { - this._ref = ref -} - -/** - * A function that is used to extract a field from a document. - * - * Lunr expects a field to be at the top level of a document, if however the field - * is deeply nested within a document an extractor function can be used to extract - * the right field for indexing. - * - * @callback fieldExtractor - * @param {object} doc - The document being added to the index. - * @returns {?(string|object|object[])} obj - The object that will be indexed for this field. - * @example Extracting a nested field - * function (doc) { return doc.nested.field } - */ - -/** - * Adds a field to the list of document fields that will be indexed. Every document being - * indexed should have this field. Null values for this field in indexed documents will - * not cause errors but will limit the chance of that document being retrieved by searches. - * - * All fields should be added before adding documents to the index. Adding fields after - * a document has been indexed will have no effect on already indexed documents. - * - * Fields can be boosted at build time. This allows terms within that field to have more - * importance when ranking search results. Use a field boost to specify that matches within - * one field are more important than other fields. - * - * @param {string} fieldName - The name of a field to index in all documents. - * @param {object} attributes - Optional attributes associated with this field. - * @param {number} [attributes.boost=1] - Boost applied to all terms within this field. - * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document. - * @throws {RangeError} fieldName cannot contain unsupported characters '/' - */ -lunr.Builder.prototype.field = function (fieldName, attributes) { - if (/\//.test(fieldName)) { - throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'") - } - - this._fields[fieldName] = attributes || {} -} - -/** - * A parameter to tune the amount of field length normalisation that is applied when - * calculating relevance scores. A value of 0 will completely disable any normalisation - * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b - * will be clamped to the range 0 - 1. - * - * @param {number} number - The value to set for this tuning parameter. - */ -lunr.Builder.prototype.b = function (number) { - if (number < 0) { - this._b = 0 - } else if (number > 1) { - this._b = 1 - } else { - this._b = number - } -} - -/** - * A parameter that controls the speed at which a rise in term frequency results in term - * frequency saturation. The default value is 1.2. Setting this to a higher value will give - * slower saturation levels, a lower value will result in quicker saturation. - * - * @param {number} number - The value to set for this tuning parameter. - */ -lunr.Builder.prototype.k1 = function (number) { - this._k1 = number -} - -/** - * Adds a document to the index. - * - * Before adding fields to the index the index should have been fully setup, with the document - * ref and all fields to index already having been specified. - * - * The document must have a field name as specified by the ref (by default this is 'id') and - * it should have all fields defined for indexing, though null or undefined values will not - * cause errors. - * - * Entire documents can be boosted at build time. Applying a boost to a document indicates that - * this document should rank higher in search results than other documents. - * - * @param {object} doc - The document to add to the index. - * @param {object} attributes - Optional attributes associated with this document. - * @param {number} [attributes.boost=1] - Boost applied to all terms within this document. - */ -lunr.Builder.prototype.add = function (doc, attributes) { - var docRef = doc[this._ref], - fields = Object.keys(this._fields) - - this._documents[docRef] = attributes || {} - this.documentCount += 1 - - for (var i = 0; i < fields.length; i++) { - var fieldName = fields[i], - extractor = this._fields[fieldName].extractor, - field = extractor ? extractor(doc) : doc[fieldName], - tokens = this.tokenizer(field, { - fields: [fieldName] - }), - terms = this.pipeline.run(tokens), - fieldRef = new lunr.FieldRef (docRef, fieldName), - fieldTerms = Object.create(null) - - this.fieldTermFrequencies[fieldRef] = fieldTerms - this.fieldLengths[fieldRef] = 0 - - // store the length of this field for this document - this.fieldLengths[fieldRef] += terms.length - - // calculate term frequencies for this field - for (var j = 0; j < terms.length; j++) { - var term = terms[j] - - if (fieldTerms[term] == undefined) { - fieldTerms[term] = 0 - } - - fieldTerms[term] += 1 - - // add to inverted index - // create an initial posting if one doesn't exist - if (this.invertedIndex[term] == undefined) { - var posting = Object.create(null) - posting["_index"] = this.termIndex - this.termIndex += 1 - - for (var k = 0; k < fields.length; k++) { - posting[fields[k]] = Object.create(null) - } - - this.invertedIndex[term] = posting - } - - // add an entry for this term/fieldName/docRef to the invertedIndex - if (this.invertedIndex[term][fieldName][docRef] == undefined) { - this.invertedIndex[term][fieldName][docRef] = Object.create(null) - } - - // store all whitelisted metadata about this token in the - // inverted index - for (var l = 0; l < this.metadataWhitelist.length; l++) { - var metadataKey = this.metadataWhitelist[l], - metadata = term.metadata[metadataKey] - - if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) { - this.invertedIndex[term][fieldName][docRef][metadataKey] = [] - } - - this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata) - } - } - - } -} - -/** - * Calculates the average document length for this index - * - * @private - */ -lunr.Builder.prototype.calculateAverageFieldLengths = function () { - - var fieldRefs = Object.keys(this.fieldLengths), - numberOfFields = fieldRefs.length, - accumulator = {}, - documentsWithField = {} - - for (var i = 0; i < numberOfFields; i++) { - var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), - field = fieldRef.fieldName - - documentsWithField[field] || (documentsWithField[field] = 0) - documentsWithField[field] += 1 - - accumulator[field] || (accumulator[field] = 0) - accumulator[field] += this.fieldLengths[fieldRef] - } - - var fields = Object.keys(this._fields) - - for (var i = 0; i < fields.length; i++) { - var fieldName = fields[i] - accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName] - } - - this.averageFieldLength = accumulator -} - -/** - * Builds a vector space model of every document using lunr.Vector - * - * @private - */ -lunr.Builder.prototype.createFieldVectors = function () { - var fieldVectors = {}, - fieldRefs = Object.keys(this.fieldTermFrequencies), - fieldRefsLength = fieldRefs.length, - termIdfCache = Object.create(null) - - for (var i = 0; i < fieldRefsLength; i++) { - var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), - fieldName = fieldRef.fieldName, - fieldLength = this.fieldLengths[fieldRef], - fieldVector = new lunr.Vector, - termFrequencies = this.fieldTermFrequencies[fieldRef], - terms = Object.keys(termFrequencies), - termsLength = terms.length - - - var fieldBoost = this._fields[fieldName].boost || 1, - docBoost = this._documents[fieldRef.docRef].boost || 1 - - for (var j = 0; j < termsLength; j++) { - var term = terms[j], - tf = termFrequencies[term], - termIndex = this.invertedIndex[term]._index, - idf, score, scoreWithPrecision - - if (termIdfCache[term] === undefined) { - idf = lunr.idf(this.invertedIndex[term], this.documentCount) - termIdfCache[term] = idf - } else { - idf = termIdfCache[term] - } - - score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf) - score *= fieldBoost - score *= docBoost - scoreWithPrecision = Math.round(score * 1000) / 1000 - // Converts 1.23456789 to 1.234. - // Reducing the precision so that the vectors take up less - // space when serialised. Doing it now so that they behave - // the same before and after serialisation. Also, this is - // the fastest approach to reducing a number's precision in - // JavaScript. - - fieldVector.insert(termIndex, scoreWithPrecision) - } - - fieldVectors[fieldRef] = fieldVector - } - - this.fieldVectors = fieldVectors -} - -/** - * Creates a token set of all tokens in the index using lunr.TokenSet - * - * @private - */ -lunr.Builder.prototype.createTokenSet = function () { - this.tokenSet = lunr.TokenSet.fromArray( - Object.keys(this.invertedIndex).sort() - ) -} - -/** - * Builds the index, creating an instance of lunr.Index. - * - * This completes the indexing process and should only be called - * once all documents have been added to the index. - * - * @returns {lunr.Index} - */ -lunr.Builder.prototype.build = function () { - this.calculateAverageFieldLengths() - this.createFieldVectors() - this.createTokenSet() - - return new lunr.Index({ - invertedIndex: this.invertedIndex, - fieldVectors: this.fieldVectors, - tokenSet: this.tokenSet, - fields: Object.keys(this._fields), - pipeline: this.searchPipeline - }) -} - -/** - * Applies a plugin to the index builder. - * - * A plugin is a function that is called with the index builder as its context. - * Plugins can be used to customise or extend the behaviour of the index - * in some way. A plugin is just a function, that encapsulated the custom - * behaviour that should be applied when building the index. - * - * The plugin function will be called with the index builder as its argument, additional - * arguments can also be passed when calling use. The function will be called - * with the index builder as its context. - * - * @param {Function} plugin The plugin to apply. - */ -lunr.Builder.prototype.use = function (fn) { - var args = Array.prototype.slice.call(arguments, 1) - args.unshift(this) - fn.apply(this, args) -} -/** - * Contains and collects metadata about a matching document. - * A single instance of lunr.MatchData is returned as part of every - * lunr.Index~Result. - * - * @constructor - * @param {string} term - The term this match data is associated with - * @param {string} field - The field in which the term was found - * @param {object} metadata - The metadata recorded about this term in this field - * @property {object} metadata - A cloned collection of metadata associated with this document. - * @see {@link lunr.Index~Result} - */ -lunr.MatchData = function (term, field, metadata) { - var clonedMetadata = Object.create(null), - metadataKeys = Object.keys(metadata || {}) - - // Cloning the metadata to prevent the original - // being mutated during match data combination. - // Metadata is kept in an array within the inverted - // index so cloning the data can be done with - // Array#slice - for (var i = 0; i < metadataKeys.length; i++) { - var key = metadataKeys[i] - clonedMetadata[key] = metadata[key].slice() - } - - this.metadata = Object.create(null) - - if (term !== undefined) { - this.metadata[term] = Object.create(null) - this.metadata[term][field] = clonedMetadata - } -} - -/** - * An instance of lunr.MatchData will be created for every term that matches a - * document. However only one instance is required in a lunr.Index~Result. This - * method combines metadata from another instance of lunr.MatchData with this - * objects metadata. - * - * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one. - * @see {@link lunr.Index~Result} - */ -lunr.MatchData.prototype.combine = function (otherMatchData) { - var terms = Object.keys(otherMatchData.metadata) - - for (var i = 0; i < terms.length; i++) { - var term = terms[i], - fields = Object.keys(otherMatchData.metadata[term]) - - if (this.metadata[term] == undefined) { - this.metadata[term] = Object.create(null) - } - - for (var j = 0; j < fields.length; j++) { - var field = fields[j], - keys = Object.keys(otherMatchData.metadata[term][field]) - - if (this.metadata[term][field] == undefined) { - this.metadata[term][field] = Object.create(null) - } - - for (var k = 0; k < keys.length; k++) { - var key = keys[k] - - if (this.metadata[term][field][key] == undefined) { - this.metadata[term][field][key] = otherMatchData.metadata[term][field][key] - } else { - this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key]) - } - - } - } - } -} - -/** - * Add metadata for a term/field pair to this instance of match data. - * - * @param {string} term - The term this match data is associated with - * @param {string} field - The field in which the term was found - * @param {object} metadata - The metadata recorded about this term in this field - */ -lunr.MatchData.prototype.add = function (term, field, metadata) { - if (!(term in this.metadata)) { - this.metadata[term] = Object.create(null) - this.metadata[term][field] = metadata - return - } - - if (!(field in this.metadata[term])) { - this.metadata[term][field] = metadata - return - } - - var metadataKeys = Object.keys(metadata) - - for (var i = 0; i < metadataKeys.length; i++) { - var key = metadataKeys[i] - - if (key in this.metadata[term][field]) { - this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key]) - } else { - this.metadata[term][field][key] = metadata[key] - } - } -} -/** - * A lunr.Query provides a programmatic way of defining queries to be performed - * against a {@link lunr.Index}. - * - * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method - * so the query object is pre-initialized with the right index fields. - * - * @constructor - * @property {lunr.Query~Clause[]} clauses - An array of query clauses. - * @property {string[]} allFields - An array of all available fields in a lunr.Index. - */ -lunr.Query = function (allFields) { - this.clauses = [] - this.allFields = allFields -} - -/** - * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause. - * - * This allows wildcards to be added to the beginning and end of a term without having to manually do any string - * concatenation. - * - * The wildcard constants can be bitwise combined to select both leading and trailing wildcards. - * - * @constant - * @default - * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour - * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists - * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists - * @see lunr.Query~Clause - * @see lunr.Query#clause - * @see lunr.Query#term - * @example query term with trailing wildcard - * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING }) - * @example query term with leading and trailing wildcard - * query.term('foo', { - * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING - * }) - */ - -lunr.Query.wildcard = new String ("*") -lunr.Query.wildcard.NONE = 0 -lunr.Query.wildcard.LEADING = 1 -lunr.Query.wildcard.TRAILING = 2 - -/** - * Constants for indicating what kind of presence a term must have in matching documents. - * - * @constant - * @enum {number} - * @see lunr.Query~Clause - * @see lunr.Query#clause - * @see lunr.Query#term - * @example query term with required presence - * query.term('foo', { presence: lunr.Query.presence.REQUIRED }) - */ -lunr.Query.presence = { - /** - * Term's presence in a document is optional, this is the default value. - */ - OPTIONAL: 1, - - /** - * Term's presence in a document is required, documents that do not contain - * this term will not be returned. - */ - REQUIRED: 2, - - /** - * Term's presence in a document is prohibited, documents that do contain - * this term will not be returned. - */ - PROHIBITED: 3 -} - -/** - * A single clause in a {@link lunr.Query} contains a term and details on how to - * match that term against a {@link lunr.Index}. - * - * @typedef {Object} lunr.Query~Clause - * @property {string[]} fields - The fields in an index this clause should be matched against. - * @property {number} [boost=1] - Any boost that should be applied when matching this clause. - * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be. - * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline. - * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended. - * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents. - */ - -/** - * Adds a {@link lunr.Query~Clause} to this query. - * - * Unless the clause contains the fields to be matched all fields will be matched. In addition - * a default boost of 1 is applied to the clause. - * - * @param {lunr.Query~Clause} clause - The clause to add to this query. - * @see lunr.Query~Clause - * @returns {lunr.Query} - */ -lunr.Query.prototype.clause = function (clause) { - if (!('fields' in clause)) { - clause.fields = this.allFields - } - - if (!('boost' in clause)) { - clause.boost = 1 - } - - if (!('usePipeline' in clause)) { - clause.usePipeline = true - } - - if (!('wildcard' in clause)) { - clause.wildcard = lunr.Query.wildcard.NONE - } - - if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) { - clause.term = "*" + clause.term - } - - if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) { - clause.term = "" + clause.term + "*" - } - - if (!('presence' in clause)) { - clause.presence = lunr.Query.presence.OPTIONAL - } - - this.clauses.push(clause) - - return this -} - -/** - * A negated query is one in which every clause has a presence of - * prohibited. These queries require some special processing to return - * the expected results. - * - * @returns boolean - */ -lunr.Query.prototype.isNegated = function () { - for (var i = 0; i < this.clauses.length; i++) { - if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) { - return false - } - } - - return true -} - -/** - * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause} - * to the list of clauses that make up this query. - * - * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion - * to a token or token-like string should be done before calling this method. - * - * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an - * array, each term in the array will share the same options. - * - * @param {object|object[]} term - The term(s) to add to the query. - * @param {object} [options] - Any additional properties to add to the query clause. - * @returns {lunr.Query} - * @see lunr.Query#clause - * @see lunr.Query~Clause - * @example adding a single term to a query - * query.term("foo") - * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard - * query.term("foo", { - * fields: ["title"], - * boost: 10, - * wildcard: lunr.Query.wildcard.TRAILING - * }) - * @example using lunr.tokenizer to convert a string to tokens before using them as terms - * query.term(lunr.tokenizer("foo bar")) - */ -lunr.Query.prototype.term = function (term, options) { - if (Array.isArray(term)) { - term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this) - return this - } - - var clause = options || {} - clause.term = term.toString() - - this.clause(clause) - - return this -} -lunr.QueryParseError = function (message, start, end) { - this.name = "QueryParseError" - this.message = message - this.start = start - this.end = end -} - -lunr.QueryParseError.prototype = new Error -lunr.QueryLexer = function (str) { - this.lexemes = [] - this.str = str - this.length = str.length - this.pos = 0 - this.start = 0 - this.escapeCharPositions = [] -} - -lunr.QueryLexer.prototype.run = function () { - var state = lunr.QueryLexer.lexText - - while (state) { - state = state(this) - } -} - -lunr.QueryLexer.prototype.sliceString = function () { - var subSlices = [], - sliceStart = this.start, - sliceEnd = this.pos - - for (var i = 0; i < this.escapeCharPositions.length; i++) { - sliceEnd = this.escapeCharPositions[i] - subSlices.push(this.str.slice(sliceStart, sliceEnd)) - sliceStart = sliceEnd + 1 - } - - subSlices.push(this.str.slice(sliceStart, this.pos)) - this.escapeCharPositions.length = 0 - - return subSlices.join('') -} - -lunr.QueryLexer.prototype.emit = function (type) { - this.lexemes.push({ - type: type, - str: this.sliceString(), - start: this.start, - end: this.pos - }) - - this.start = this.pos -} - -lunr.QueryLexer.prototype.escapeCharacter = function () { - this.escapeCharPositions.push(this.pos - 1) - this.pos += 1 -} - -lunr.QueryLexer.prototype.next = function () { - if (this.pos >= this.length) { - return lunr.QueryLexer.EOS - } - - var char = this.str.charAt(this.pos) - this.pos += 1 - return char -} - -lunr.QueryLexer.prototype.width = function () { - return this.pos - this.start -} - -lunr.QueryLexer.prototype.ignore = function () { - if (this.start == this.pos) { - this.pos += 1 - } - - this.start = this.pos -} - -lunr.QueryLexer.prototype.backup = function () { - this.pos -= 1 -} - -lunr.QueryLexer.prototype.acceptDigitRun = function () { - var char, charCode - - do { - char = this.next() - charCode = char.charCodeAt(0) - } while (charCode > 47 && charCode < 58) - - if (char != lunr.QueryLexer.EOS) { - this.backup() - } -} - -lunr.QueryLexer.prototype.more = function () { - return this.pos < this.length -} - -lunr.QueryLexer.EOS = 'EOS' -lunr.QueryLexer.FIELD = 'FIELD' -lunr.QueryLexer.TERM = 'TERM' -lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE' -lunr.QueryLexer.BOOST = 'BOOST' -lunr.QueryLexer.PRESENCE = 'PRESENCE' - -lunr.QueryLexer.lexField = function (lexer) { - lexer.backup() - lexer.emit(lunr.QueryLexer.FIELD) - lexer.ignore() - return lunr.QueryLexer.lexText -} - -lunr.QueryLexer.lexTerm = function (lexer) { - if (lexer.width() > 1) { - lexer.backup() - lexer.emit(lunr.QueryLexer.TERM) - } - - lexer.ignore() - - if (lexer.more()) { - return lunr.QueryLexer.lexText - } -} - -lunr.QueryLexer.lexEditDistance = function (lexer) { - lexer.ignore() - lexer.acceptDigitRun() - lexer.emit(lunr.QueryLexer.EDIT_DISTANCE) - return lunr.QueryLexer.lexText -} - -lunr.QueryLexer.lexBoost = function (lexer) { - lexer.ignore() - lexer.acceptDigitRun() - lexer.emit(lunr.QueryLexer.BOOST) - return lunr.QueryLexer.lexText -} - -lunr.QueryLexer.lexEOS = function (lexer) { - if (lexer.width() > 0) { - lexer.emit(lunr.QueryLexer.TERM) - } -} - -// This matches the separator used when tokenising fields -// within a document. These should match otherwise it is -// not possible to search for some tokens within a document. -// -// It is possible for the user to change the separator on the -// tokenizer so it _might_ clash with any other of the special -// characters already used within the search string, e.g. :. -// -// This means that it is possible to change the separator in -// such a way that makes some words unsearchable using a search -// string. -lunr.QueryLexer.termSeparator = lunr.tokenizer.separator - -lunr.QueryLexer.lexText = function (lexer) { - while (true) { - var char = lexer.next() - - if (char == lunr.QueryLexer.EOS) { - return lunr.QueryLexer.lexEOS - } - - // Escape character is '\' - if (char.charCodeAt(0) == 92) { - lexer.escapeCharacter() - continue - } - - if (char == ":") { - return lunr.QueryLexer.lexField - } - - if (char == "~") { - lexer.backup() - if (lexer.width() > 0) { - lexer.emit(lunr.QueryLexer.TERM) - } - return lunr.QueryLexer.lexEditDistance - } - - if (char == "^") { - lexer.backup() - if (lexer.width() > 0) { - lexer.emit(lunr.QueryLexer.TERM) - } - return lunr.QueryLexer.lexBoost - } - - // "+" indicates term presence is required - // checking for length to ensure that only - // leading "+" are considered - if (char == "+" && lexer.width() === 1) { - lexer.emit(lunr.QueryLexer.PRESENCE) - return lunr.QueryLexer.lexText - } - - // "-" indicates term presence is prohibited - // checking for length to ensure that only - // leading "-" are considered - if (char == "-" && lexer.width() === 1) { - lexer.emit(lunr.QueryLexer.PRESENCE) - return lunr.QueryLexer.lexText - } - - if (char.match(lunr.QueryLexer.termSeparator)) { - return lunr.QueryLexer.lexTerm - } - } -} - -lunr.QueryParser = function (str, query) { - this.lexer = new lunr.QueryLexer (str) - this.query = query - this.currentClause = {} - this.lexemeIdx = 0 -} - -lunr.QueryParser.prototype.parse = function () { - this.lexer.run() - this.lexemes = this.lexer.lexemes - - var state = lunr.QueryParser.parseClause - - while (state) { - state = state(this) - } - - return this.query -} - -lunr.QueryParser.prototype.peekLexeme = function () { - return this.lexemes[this.lexemeIdx] -} - -lunr.QueryParser.prototype.consumeLexeme = function () { - var lexeme = this.peekLexeme() - this.lexemeIdx += 1 - return lexeme -} - -lunr.QueryParser.prototype.nextClause = function () { - var completedClause = this.currentClause - this.query.clause(completedClause) - this.currentClause = {} -} - -lunr.QueryParser.parseClause = function (parser) { - var lexeme = parser.peekLexeme() - - if (lexeme == undefined) { - return - } - - switch (lexeme.type) { - case lunr.QueryLexer.PRESENCE: - return lunr.QueryParser.parsePresence - case lunr.QueryLexer.FIELD: - return lunr.QueryParser.parseField - case lunr.QueryLexer.TERM: - return lunr.QueryParser.parseTerm - default: - var errorMessage = "expected either a field or a term, found " + lexeme.type - - if (lexeme.str.length >= 1) { - errorMessage += " with value '" + lexeme.str + "'" - } - - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } -} - -lunr.QueryParser.parsePresence = function (parser) { - var lexeme = parser.consumeLexeme() - - if (lexeme == undefined) { - return - } - - switch (lexeme.str) { - case "-": - parser.currentClause.presence = lunr.Query.presence.PROHIBITED - break - case "+": - parser.currentClause.presence = lunr.Query.presence.REQUIRED - break - default: - var errorMessage = "unrecognised presence operator'" + lexeme.str + "'" - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } - - var nextLexeme = parser.peekLexeme() - - if (nextLexeme == undefined) { - var errorMessage = "expecting term or field, found nothing" - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } - - switch (nextLexeme.type) { - case lunr.QueryLexer.FIELD: - return lunr.QueryParser.parseField - case lunr.QueryLexer.TERM: - return lunr.QueryParser.parseTerm - default: - var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'" - throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) - } -} - -lunr.QueryParser.parseField = function (parser) { - var lexeme = parser.consumeLexeme() - - if (lexeme == undefined) { - return - } - - if (parser.query.allFields.indexOf(lexeme.str) == -1) { - var possibleFields = parser.query.allFields.map(function (f) { return "'" + f + "'" }).join(', '), - errorMessage = "unrecognised field '" + lexeme.str + "', possible fields: " + possibleFields - - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } - - parser.currentClause.fields = [lexeme.str] - - var nextLexeme = parser.peekLexeme() - - if (nextLexeme == undefined) { - var errorMessage = "expecting term, found nothing" - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } - - switch (nextLexeme.type) { - case lunr.QueryLexer.TERM: - return lunr.QueryParser.parseTerm - default: - var errorMessage = "expecting term, found '" + nextLexeme.type + "'" - throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) - } -} - -lunr.QueryParser.parseTerm = function (parser) { - var lexeme = parser.consumeLexeme() - - if (lexeme == undefined) { - return - } - - parser.currentClause.term = lexeme.str.toLowerCase() - - if (lexeme.str.indexOf("*") != -1) { - parser.currentClause.usePipeline = false - } - - var nextLexeme = parser.peekLexeme() - - if (nextLexeme == undefined) { - parser.nextClause() - return - } - - switch (nextLexeme.type) { - case lunr.QueryLexer.TERM: - parser.nextClause() - return lunr.QueryParser.parseTerm - case lunr.QueryLexer.FIELD: - parser.nextClause() - return lunr.QueryParser.parseField - case lunr.QueryLexer.EDIT_DISTANCE: - return lunr.QueryParser.parseEditDistance - case lunr.QueryLexer.BOOST: - return lunr.QueryParser.parseBoost - case lunr.QueryLexer.PRESENCE: - parser.nextClause() - return lunr.QueryParser.parsePresence - default: - var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" - throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) - } -} - -lunr.QueryParser.parseEditDistance = function (parser) { - var lexeme = parser.consumeLexeme() - - if (lexeme == undefined) { - return - } - - var editDistance = parseInt(lexeme.str, 10) - - if (isNaN(editDistance)) { - var errorMessage = "edit distance must be numeric" - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } - - parser.currentClause.editDistance = editDistance - - var nextLexeme = parser.peekLexeme() - - if (nextLexeme == undefined) { - parser.nextClause() - return - } - - switch (nextLexeme.type) { - case lunr.QueryLexer.TERM: - parser.nextClause() - return lunr.QueryParser.parseTerm - case lunr.QueryLexer.FIELD: - parser.nextClause() - return lunr.QueryParser.parseField - case lunr.QueryLexer.EDIT_DISTANCE: - return lunr.QueryParser.parseEditDistance - case lunr.QueryLexer.BOOST: - return lunr.QueryParser.parseBoost - case lunr.QueryLexer.PRESENCE: - parser.nextClause() - return lunr.QueryParser.parsePresence - default: - var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" - throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) - } -} - -lunr.QueryParser.parseBoost = function (parser) { - var lexeme = parser.consumeLexeme() - - if (lexeme == undefined) { - return - } - - var boost = parseInt(lexeme.str, 10) - - if (isNaN(boost)) { - var errorMessage = "boost must be numeric" - throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) - } - - parser.currentClause.boost = boost - - var nextLexeme = parser.peekLexeme() - - if (nextLexeme == undefined) { - parser.nextClause() - return - } - - switch (nextLexeme.type) { - case lunr.QueryLexer.TERM: - parser.nextClause() - return lunr.QueryParser.parseTerm - case lunr.QueryLexer.FIELD: - parser.nextClause() - return lunr.QueryParser.parseField - case lunr.QueryLexer.EDIT_DISTANCE: - return lunr.QueryParser.parseEditDistance - case lunr.QueryLexer.BOOST: - return lunr.QueryParser.parseBoost - case lunr.QueryLexer.PRESENCE: - parser.nextClause() - return lunr.QueryParser.parsePresence - default: - var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" - throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) - } -} - - /** - * export the module via AMD, CommonJS or as a browser global - * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js - */ - ;(function (root, factory) { - if (typeof define === 'function' && define.amd) { - // AMD. Register as an anonymous module. - define(factory) - } else if (typeof exports === 'object') { - /** - * Node. Does not work with strict CommonJS, but - * only CommonJS-like enviroments that support module.exports, - * like Node. - */ - module.exports = factory() - } else { - // Browser globals (root is window) - root.lunr = factory() - } - }(this, function () { - /** - * Just return a value to define the module export. - * This example returns an object, but the module - * can return a function as the exported value. - */ - return lunr - })) -})(); diff --git a/supplemental_ui/js/vendor/search.js b/supplemental_ui/js/vendor/search.js deleted file mode 100644 index b338f4f96..000000000 --- a/supplemental_ui/js/vendor/search.js +++ /dev/null @@ -1,215 +0,0 @@ -/* eslint-env browser */ -window.antoraLunr = (function (lunr) { - const scriptAttrs = document.getElementById('search-script').dataset - const basePath = scriptAttrs.basePath - const pagePath = scriptAttrs.pagePath - var searchInput = document.getElementById('search-input') - var searchResult = document.createElement('div') - searchResult.classList.add('search-result-dropdown-menu') - searchInput.parentNode.appendChild(searchResult) - - function highlightText (doc, position) { - var hits = [] - var start = position[0] - var length = position[1] - - var text = doc.text - var highlightSpan = document.createElement('span') - highlightSpan.classList.add('search-result-highlight') - highlightSpan.innerText = text.substr(start, length) - - var end = start + length - var textEnd = text.length - 1 - var contextOffset = 15 - var contextAfter = end + contextOffset > textEnd ? textEnd : end + contextOffset - var contextBefore = start - contextOffset < 0 ? 0 : start - contextOffset - if (start === 0 && end === textEnd) { - hits.push(highlightSpan) - } else if (start === 0) { - hits.push(highlightSpan) - hits.push(document.createTextNode(text.substr(end, contextAfter))) - } else if (end === textEnd) { - hits.push(document.createTextNode(text.substr(0, start))) - hits.push(highlightSpan) - } else { - hits.push(document.createTextNode('...' + text.substr(contextBefore, start - contextBefore))) - hits.push(highlightSpan) - hits.push(document.createTextNode(text.substr(end, contextAfter - end) + '...')) - } - return hits - } - - function highlightTitle (hash, doc, position) { - var hits = [] - var start = position[0] - var length = position[1] - - var highlightSpan = document.createElement('span') - highlightSpan.classList.add('search-result-highlight') - var title - if (hash) { - title = doc.titles.filter(function (item) { - return item.id === hash - })[0].text - } else { - title = doc.title - } - highlightSpan.innerText = title.substr(start, length) - - var end = start + length - var titleEnd = title.length - 1 - if (start === 0 && end === titleEnd) { - hits.push(highlightSpan) - } else if (start === 0) { - hits.push(highlightSpan) - hits.push(document.createTextNode(title.substr(length, titleEnd))) - } else if (end === titleEnd) { - hits.push(document.createTextNode(title.substr(0, start))) - hits.push(highlightSpan) - } else { - hits.push(document.createTextNode(title.substr(0, start))) - hits.push(highlightSpan) - hits.push(document.createTextNode(title.substr(end, titleEnd))) - } - return hits - } - - function highlightHit (metadata, hash, doc) { - var hits = [] - for (var token in metadata) { - var fields = metadata[token] - for (var field in fields) { - var positions = fields[field] - if (positions.position) { - var position = positions.position[0] // only higlight the first match - if (field === 'title') { - hits = highlightTitle(hash, doc, position) - } else if (field === 'text') { - hits = highlightText(doc, position) - } - } - } - } - return hits - } - - function createSearchResult(result, store, searchResultDataset) { - result.forEach(function (item) { - var url = item.ref - var hash - if (url.includes('#')) { - hash = url.substring(url.indexOf('#') + 1) - url = url.replace('#' + hash, '') - } - var doc = store[url] - var metadata = item.matchData.metadata - var hits = highlightHit(metadata, hash, doc) - searchResultDataset.appendChild(createSearchResultItem(doc, item, hits)) - }) - } - - function createSearchResultItem (doc, item, hits) { - var documentTitle = document.createElement('div') - documentTitle.classList.add('search-result-document-title') - documentTitle.innerText = doc.title - var documentHit = document.createElement('div') - documentHit.classList.add('search-result-document-hit') - var documentHitLink = document.createElement('a') - var rootPath = basePath - documentHitLink.href = rootPath + item.ref - documentHit.appendChild(documentHitLink) - hits.forEach(function (hit) { - documentHitLink.appendChild(hit) - }) - var searchResultItem = document.createElement('div') - searchResultItem.classList.add('search-result-item') - searchResultItem.appendChild(documentTitle) - searchResultItem.appendChild(documentHit) - searchResultItem.addEventListener('mousedown', function (e) { - e.preventDefault() - }) - return searchResultItem - } - - function createNoResult (text) { - var searchResultItem = document.createElement('div') - searchResultItem.classList.add('search-result-item') - var documentHit = document.createElement('div') - documentHit.classList.add('search-result-document-hit') - var message = document.createElement('strong') - message.innerText = 'No results found for query "' + text + '"' - documentHit.appendChild(message) - searchResultItem.appendChild(documentHit) - return searchResultItem - } - - function search (index, text) { - // execute an exact match search - var result = index.search(text) - if (result.length > 0) { - return result - } - // no result, use a begins with search - result = index.search(text + '*') - if (result.length > 0) { - return result - } - // no result, use a contains search - result = index.search('*' + text + '*') - return result - } - - function searchIndex (index, store, text) { - // reset search result - while (searchResult.firstChild) { - searchResult.removeChild(searchResult.firstChild) - } - if (text.trim() === '') { - return - } - var result = search(index, text) - var searchResultDataset = document.createElement('div') - searchResultDataset.classList.add('search-result-dataset') - searchResult.appendChild(searchResultDataset) - if (result.length > 0) { - createSearchResult(result, store, searchResultDataset) - } else { - searchResultDataset.appendChild(createNoResult(text)) - } - } - - function debounce (func, wait, immediate) { - var timeout - return function () { - var context = this - var args = arguments - var later = function () { - timeout = null - if (!immediate) func.apply(context, args) - } - var callNow = immediate && !timeout - clearTimeout(timeout) - timeout = setTimeout(later, wait) - if (callNow) func.apply(context, args) - } - } - - function init (data) { - var index = Object.assign({index: lunr.Index.load(data.index), store: data.store}) - var search = debounce(function () { - searchIndex(index.index, index.store, searchInput.value) - }, 100) - searchInput.addEventListener('keydown', search) - - // this is prevented in case of mousedown attached to SearchResultItem - searchInput.addEventListener('blur', function (e) { - while (searchResult.firstChild) { - searchResult.removeChild(searchResult.firstChild) - } - }) - } - - return { - init: init, - } -})(window.lunr) diff --git a/supplemental_ui/partials/footer-scripts.hbs b/supplemental_ui/partials/footer-scripts.hbs deleted file mode 100644 index 9af969f26..000000000 --- a/supplemental_ui/partials/footer-scripts.hbs +++ /dev/null @@ -1,7 +0,0 @@ - -{{#if (eq env.DOCSEARCH_ENGINE 'lunr')}} - - - -{{/if}} - diff --git a/supplemental_ui/partials/head-meta.hbs b/supplemental_ui/partials/head-meta.hbs deleted file mode 100644 index c9883c2ba..000000000 --- a/supplemental_ui/partials/head-meta.hbs +++ /dev/null @@ -1 +0,0 @@ - diff --git a/sven-antora-playbook.yml b/sven-antora-playbook.yml deleted file mode 100644 index c530b32c6..000000000 --- a/sven-antora-playbook.yml +++ /dev/null @@ -1,49 +0,0 @@ -site: - title: Stackable Documentation - #url: https://stackackable.svenpetersen.net - url: http://localhost:5000 - #start_page: home::index.adoc - robots: allow - -content: - sources: - - url: https://github.com/stackabletech/agent.git - branches: main - start_path: docs - - url: ./ - branches: HEAD - - url: https://github.com/stackabletech/kafka-operator.git - branches: main - start_path: docs - - url: https://github.com/stackabletech/monitoring-operator.git - branches: main - start_path: docs - - url: https://github.com/stackabletech/nifi-operator.git - branches: main - start_path: docs - - url: https://github.com/stackabletech/opa-operator.git - branches: main - start_path: docs - - url: https://github.com/stackabletech/regorule-operator.git - branches: main - start_path: docs - - url: https://github.com/stackabletech/spark-operator.git - branches: main - start_path: docs - - url: https://github.com/stackabletech/zookeeper-operator.git - branches: main - start_path: docs - -ui: - bundle: - url: ../stackable-documentation-ui/build/ui-bundle.zip - snapshot: true - supplemental_files: ./supplemental_ui -# - path: ui.yml -# contents: | -# static_files: [ .nojekyll ] -# - path: .nojekyll - -asciidoc: - attributes: - base-repo: https://github.com/stackabletech From 4e88407d6a6047b5b8d9aa8c39b1c0617c618ecc Mon Sep 17 00:00:00 2001 From: Lars Francke Date: Thu, 24 Feb 2022 17:03:35 +0100 Subject: [PATCH 07/12] The build needs to run against the local content not the remote one --- .github/workflows/build.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 7dd28a881..fd7aa487b 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -17,4 +17,4 @@ jobs: node-version: '16' cache: 'npm' - run: npm install - - run: npx antora --fetch antora-playbook.yml + - run: npx antora --fetch local-antora-playbook.yml From 132e8975677ec91ef88903fd6f40da64ceea65eb Mon Sep 17 00:00:00 2001 From: Lars Francke Date: Thu, 24 Feb 2022 17:05:06 +0100 Subject: [PATCH 08/12] Use remote bundle --- gitpod-antora-playbook.yml | 3 +-- local-antora-playbook.yml | 2 +- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/gitpod-antora-playbook.yml b/gitpod-antora-playbook.yml index df33ca0c7..9c6bf6c4e 100644 --- a/gitpod-antora-playbook.yml +++ b/gitpod-antora-playbook.yml @@ -2,7 +2,6 @@ site: title: Stackable Documentation url: https://docs.stackable.tech - start_page: home::index.adoc robots: allow content: @@ -49,7 +48,7 @@ content: ui: bundle: - url: https://repo.stackable.tech/repository/misc/ui-bundle.zip + url: https://repo.stackable.tech/repository/misc/antora-ui-bundle.zip snapshot: true supplemental_files: - path: ./node_modules/@antora/lunr-extension/supplemental_ui diff --git a/local-antora-playbook.yml b/local-antora-playbook.yml index 0ab86ba24..1ee3d1682 100644 --- a/local-antora-playbook.yml +++ b/local-antora-playbook.yml @@ -48,7 +48,7 @@ content: ui: bundle: - url: ../documentation-ui/build/ui-bundle.zip + url: https://repo.stackable.tech/repository/misc/antora-ui-bundle.zip snapshot: true supplemental_files: - path: ./node_modules/@antora/lunr-extension/supplemental_ui From c519c62bfbe2efd9494306b5a4828b8b23bad021 Mon Sep 17 00:00:00 2001 From: Lars Francke Date: Thu, 24 Feb 2022 17:29:22 +0100 Subject: [PATCH 09/12] Update some of the content --- local-antora-playbook.yml | 1 + modules/ROOT/pages/index.adoc | 33 ++++++++---------- modules/ROOT/pages/index_old.adoc | 56 ------------------------------- 3 files changed, 15 insertions(+), 75 deletions(-) delete mode 100644 modules/ROOT/pages/index_old.adoc diff --git a/local-antora-playbook.yml b/local-antora-playbook.yml index 1ee3d1682..9ce215dfa 100644 --- a/local-antora-playbook.yml +++ b/local-antora-playbook.yml @@ -2,6 +2,7 @@ site: title: Stackable Documentation url: https://docs.stackable.tech + start_page: home::index.adoc robots: allow content: diff --git a/modules/ROOT/pages/index.adoc b/modules/ROOT/pages/index.adoc index 3039f7380..9764f756f 100644 --- a/modules/ROOT/pages/index.adoc +++ b/modules/ROOT/pages/index.adoc @@ -1,7 +1,6 @@ = Stackable Documentation :page-layout: landing - Welcome to Stackable! This documentation gives you an overview of the Stackable Data Platform, how to install and manage it as well as some tutorials. @@ -25,11 +24,6 @@ If you have any feedback regarding the documentation please either open an https The Stackable Data Platform allows you to deploy, scale and manage Data infrastructure in any environment running https://kubernetes.io/[Kubernetes]. - -IMPORTANT: Our platform used to be based on a different architecture (until November 2021) where we built an alternative Kubelet. We abandoned that effort for now and are moving towards a Kubernetes-native experience using the normal `kubelet`. -This is an ongoing effort and the documentation might not reflect reality everywhere. -We aim to update our platform as well as the documentation by the end of 2021 and will remove this note when the migration has completed. - ++++ ++++ @@ -65,7 +59,8 @@ We are building a distribution that includes the “best of breed” of existing We are using Kubernetes as our deployment platform. And we're building https://kubernetes.io/docs/concepts/extend-kubernetes/operator/[Operators] for each of the products we support. -At the moment we support the following products (i.e. we have operators for each of those): + +The Stackable Data Platform supports the following products: ++++
@@ -80,12 +75,12 @@ At the moment we support the following products (i.e. we have operators for each ++++ ++++ -

Kafka Operator

+

Apache Airflow

++++ -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. +Airflow is a workflow engine and your replacement should you be using Apache Oozie. -link:/kafka/index.html[Read more] +link:/airflow/index.html[Read more] ++++ @@ -96,12 +91,12 @@ link:/kafka/index.html[Read more] ++++ ++++ -

Spark Operator

+

Apache Druid

++++ -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. +Apache Druid is a real-time database to power modern analytics applications. -link:/spark/index.html[Read more] +link:/druid/index.html[Read more] ++++ @@ -112,12 +107,12 @@ link:/spark/index.html[Read more] ++++ ++++ -

Trino Operator

+

Apache HBase

++++ -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. +HBase is a distributed, scalable, big data store -link:/trino/index.html[Read more] +link:/hbase/index.html[Read more] ++++ @@ -128,12 +123,12 @@ link:/trino/index.html[Read more] ++++ ++++ -

Zookeeper Operator

+

Apache Hadoop HDFS

++++ -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. +HDFS is a distributed file system that provides high-throughput access to application data. -link:/zookeeper/index.html[Read more] +link:/hdfs/index.html[Read more] ++++ diff --git a/modules/ROOT/pages/index_old.adoc b/modules/ROOT/pages/index_old.adoc deleted file mode 100644 index 1e0b89fb4..000000000 --- a/modules/ROOT/pages/index_old.adoc +++ /dev/null @@ -1,56 +0,0 @@ -= Stackable Documentation - -Welcome to Stackable! -This documentation gives you an overview of our platform, how to install and manage it as well as some tutorials. - -If you have any feedback regarding the documentation please either open an https://github.com/stackabletech/documentation/issues[issue], ask a https://github.com/stackabletech/documentation/discussions[question] or look at the source for this documentation in its https://github.com/stackabletech/documentation[repository]. - -== Introduction - -Our Stackable platform allows you to deploy, scale and manage Big Data infrastructure in any environment as long as it can run https://kubernetes.io/[Kubernetes]. - -IMPORTANT: Our platform used to be based on a different architecture (until November 2021) where we built an alternative Kubelet. We abandoned that effort for now and are moving towards a Kubernetes-native experience using the normal `kubelet`. -This is an ongoing effort and the documentation might not reflect reality everywhere. -We aim to update our platform as well as the documentation by the end of 2021 and will remove this note when the migration has completed. - -== Goal of the project - -We are building a distribution of existing Open Source tools that together comprise the components of a modern data platform. - -There are components to ingest data, to store data, to process and visualize and much more. -While the platform got started in the _Big Data_ ecosystem we are in no way limited to big data workloads. - -You can declaratively build these environments, and we don't stop at the tool level as we also provide ways for the users to interact with the platform in the "as Code"-approach. - -We are leveraging the https://www.openpolicyagent.org/[OpenPolicyAgent] to provide Authorization-as-Code. - -We are building a distribution that includes the “best of breed” of existing Open Source tools, but bundles them in a way, so it is easy to deploy a fully working stack of software. Most of the existing tools are “single purpose” tools, which often do not play nicely together out-of-the-box. - -== Components - -We are using Kubernetes as our deployment platform. -And we're building https://kubernetes.io/docs/concepts/extend-kubernetes/operator/[Operators] for each of the products we support. - -At the moment we support the following products (i.e. we have operators for each of those): - -- https://druid.apache.org[Apache Druid] -- https://hbase.apache.org[Apache HBase] -- https://hadoop.apache.org[Apache Hadoop HDFS] -- https://hive.apache.org[Apache Hive Metastore] -- https://kafka.apache.org[Apache Kafka] -- https://nifi.apache.org[Apache NiFi] -- https://spark.apache.org[Apache Spark] -- https://superset.apache.org[Apache Superset] -- https://trino.io[Trino] -- https://zookeeper.apache.org[Apache ZooKeeper] - -We are working on a feature matrix, so you can see which features we support for each of these products. - -== Supported Kubernetes Versions - -The Kubernetes project maintains release branches for the latest three versions, we follow this approach and also support the latest three kubernetes versions which are, at the moment: - -include::partial$supported-kubernetes-versions.adoc[] - -== Getting Started -Stackable provides a tutorial xref:getting_started.adoc[], which outlines how to deploy a Stackable cluster and the supported infrastructure. There is also a quickstart shell script in the https://github.com/stackabletech/stackable-utils[stackable-utils] GitHub repository that will quickly bootstrap an example cluster. From 49ae8eecbd219808fe8e6e73de56ee4362c7bb5d Mon Sep 17 00:00:00 2001 From: Lars Francke Date: Thu, 24 Feb 2022 21:43:54 +0100 Subject: [PATCH 10/12] Content update --- modules/ROOT/pages/index.adoc | 89 +++++++++++++++++++++++++++++++++-- 1 file changed, 85 insertions(+), 4 deletions(-) diff --git a/modules/ROOT/pages/index.adoc b/modules/ROOT/pages/index.adoc index 9764f756f..f7385f03b 100644 --- a/modules/ROOT/pages/index.adoc +++ b/modules/ROOT/pages/index.adoc @@ -139,10 +139,42 @@ link:/hdfs/index.html[Read more] ++++ ++++ -

NiFi Operator

+

Apache Hive

++++ -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. +The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. We support the Hive Metastore. + +link:/hive/index.html[Read more] + +++++ + +++++ + +++++ +
+++++ + +++++ +

Apache Kafka

+++++ + +Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. + +link:/kafka/index.html[Read more] + +++++ +
+++++ + +++++ +
+++++ + +++++ +

Apache NiFi

+++++ + +An easy to use, powerful, and reliable system to process and distribute data. link:/nifi/index.html[Read more] @@ -155,10 +187,26 @@ link:/nifi/index.html[Read more] ++++ ++++ -

Superset Operator

+

Apache Spark

+++++ + +Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. + +link:/spark/index.html[Read more] + +++++ +
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Apache Superset

++++ -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. +Apache Superset is a modern data exploration and visualization platform link:/superset/index.html[Read more] @@ -166,6 +214,39 @@ link:/superset/index.html[Read more]
++++ +++++ +
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Trino

+++++ + +Fast distributed SQL query engine for big data analytics that helps you explore your data universe. + +link:/trino/index.html[Read more] + +++++ +
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+++++ + +++++ +

Apache ZooKeeper

+++++ + +ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. + +link:/zookeeper/index.html[Read more] + +++++ +
+++++ + + ++++ ++++ From d480f8f2aaf02dacae1e93e34a756f11c4d90f8e Mon Sep 17 00:00:00 2001 From: Lars Francke Date: Fri, 25 Feb 2022 08:46:16 +0100 Subject: [PATCH 11/12] nojekyll file now created by new publish action, move to renovate This is the recommendation from the docs: https://docs.antora.org/antora/latest/publish-to-github-pages/#using-github-actions --- .github/dependabot.yml | 10 ---------- .github/workflows/deploy.yml | 17 ++++++++++------- antora-playbook.yml | 8 +------- gitpod-antora-playbook.yml | 8 +------- local-antora-playbook.yml | 8 +------- renovate.json | 31 +++++++++++++++++++++++++++++++ 6 files changed, 44 insertions(+), 38 deletions(-) delete mode 100644 .github/dependabot.yml create mode 100644 renovate.json diff --git a/.github/dependabot.yml b/.github/dependabot.yml deleted file mode 100644 index b8d5fd1ad..000000000 --- a/.github/dependabot.yml +++ /dev/null @@ -1,10 +0,0 @@ -version: 2 -updates: - - package-ecosystem: "github-actions" - directory: "/" - schedule: - interval: "weekly" - labels: - - "type/dependencies" - reviewers: - - "stackabletech/developers" diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml index a59a33763..07a050eb5 100644 --- a/.github/workflows/deploy.yml +++ b/.github/workflows/deploy.yml @@ -17,12 +17,15 @@ jobs: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2.4.0 - - name: "Generate site using Antora site action" - uses: kameshsampath/antora-site-action@v0.2.4 + - uses: actions/setup-node@v2 with: - antora_playbook: antora-playbook.yml - - name: Deploy to GitHub Pages - uses: JamesIves/github-pages-deploy-action@v4.2.5 + node-version: '16' + cache: 'npm' + - run: npm install + - run: npx antora --fetch local-antora-playbook.yml + - name: Publish to GitHub Pages + uses: peaceiris/actions-gh-pages@v3 with: - branch: 'docs' - folder: 'build/site' + github_token: ${{ secrets.GITHUB_TOKEN }} + publish_dir: build/site + publish_branch: docs diff --git a/antora-playbook.yml b/antora-playbook.yml index 5eb51c4d4..8c5d96a91 100644 --- a/antora-playbook.yml +++ b/antora-playbook.yml @@ -50,13 +50,7 @@ ui: bundle: url: https://repo.stackable.tech/repository/misc/antora-ui-bundle.zip snapshot: true - supplemental_files: - - path: ./node_modules/@antora/lunr-extension/supplemental_ui - - path: ui.yml - contents: | - static_files: - - .nojekyll - - path: .nojekyll + supplemental_files: ./node_modules/@antora/lunr-extension/supplemental_ui antora: extensions: diff --git a/gitpod-antora-playbook.yml b/gitpod-antora-playbook.yml index 9c6bf6c4e..e50d1a1ea 100644 --- a/gitpod-antora-playbook.yml +++ b/gitpod-antora-playbook.yml @@ -50,13 +50,7 @@ ui: bundle: url: https://repo.stackable.tech/repository/misc/antora-ui-bundle.zip snapshot: true - supplemental_files: - - path: ./node_modules/@antora/lunr-extension/supplemental_ui - - path: ui.yml - contents: | - static_files: - - .nojekyll - - path: .nojekyll + supplemental_files: ./node_modules/@antora/lunr-extension/supplemental_ui antora: extensions: diff --git a/local-antora-playbook.yml b/local-antora-playbook.yml index 9ce215dfa..d5eea48ce 100644 --- a/local-antora-playbook.yml +++ b/local-antora-playbook.yml @@ -51,13 +51,7 @@ ui: bundle: url: https://repo.stackable.tech/repository/misc/antora-ui-bundle.zip snapshot: true - supplemental_files: - - path: ./node_modules/@antora/lunr-extension/supplemental_ui - - path: ui.yml - contents: | - static_files: - - .nojekyll - - path: .nojekyll + supplemental_files: ./node_modules/@antora/lunr-extension/supplemental_ui antora: extensions: diff --git a/renovate.json b/renovate.json new file mode 100644 index 000000000..fbdd497f5 --- /dev/null +++ b/renovate.json @@ -0,0 +1,31 @@ +{ + "extends": [ + "helpers:pinGitHubActionDigests" + ], + "labels": [ + "type/dependencies" + ], + "prCreation": "not-pending", + "reviewers": [ + "team:developers" + ], + "rollbackPrs": true, + "schedule": [ + "after 5:00 and before 6:00 every weekday" + ], + "timezone": "Europe/Berlin", + "packageRules": [ + { + "matchUpdateTypes": [ + "patch" + ], + "groupName": "All dependencies (patch only)" + } + ], + "lockFileMaintenance": { + "enabled": true, + "schedule": [ + "after 5:00 and before 6:00 every weekday" + ] + }, +} From 4b1bfd3f1825d89b49d4b4cc80d64012ae7a14c6 Mon Sep 17 00:00:00 2001 From: Lars Francke Date: Fri, 25 Feb 2022 10:02:39 +0100 Subject: [PATCH 12/12] Fix deploy --- .github/workflows/deploy.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml index 07a050eb5..0127e77a8 100644 --- a/.github/workflows/deploy.yml +++ b/.github/workflows/deploy.yml @@ -27,5 +27,5 @@ jobs: uses: peaceiris/actions-gh-pages@v3 with: github_token: ${{ secrets.GITHUB_TOKEN }} - publish_dir: build/site + publish_dir: site publish_branch: docs