| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| (function ($) { |
| |
| /** |
| * A <i>term</i> autocomplete search box, using jQueryUI.autocomplete. This |
| * implementation uses Solr's facet.prefix technique. This technique benefits |
| * from honoring the filter query state and by being able to put words prior to |
| * the last one the user is typing into a filter query as well to get even more |
| * relevant completion suggestions. |
| * |
| * Index instructions: |
| * 1. Put a facet warming query into Solr's "firstSearcher" in solrconfig.xml, |
| * for the target field. |
| * 2. Use appropriate text analysis to include a tokenizer (not keyword) and do |
| * <i>not</i> do stemming or else you will see stems suggested. A 'light' |
| * stemmer may produce acceptable stems. |
| * 3. If you are auto-completing in a search box that would normally be using |
| * the dismax query parser AND your qf parameter references more than one field, |
| * then you might want to use a catch-all search field to autocomplete on. |
| * |
| * For large indexes, another implementation approach like the Suggester feature |
| * or TermsComponent might be better than a faceting approach. |
| * |
| * Other types of autocomplete (a.k.a. suggest) are "search-results", |
| * "query-log", and "facet-value". This widget does term autocompletion. |
| * |
| * @author David Smiley <david.w.smiley at gmail.com> |
| */ |
| AjaxSolr.AutocompleteTermWidget = AjaxSolr.AbstractTextWidget.extend( |
| /** @lends AjaxSolr.AutocompleteTermWidget.prototype */ |
| { |
| /** |
| * @param {Object} attributes |
| * @param {String} attributes.field The Solr field to autocomplete indexed |
| * terms from. |
| * @param {Boolean} [attributes.tokenized] Whether the underlying field is |
| * tokenized. This component will take words before the last word |
| * (whitespace separated) and generate a filter query for those words, while |
| * only the last word will be used for facet.prefix. For field-value |
| * completion (on just one field) or query log completion, you would have a |
| * non-tokenized field to complete against. Defaults to <tt>true</tt>. |
| * @param {Boolean} [attributes.lowercase] Indicates whether to lowercase the |
| * facet.prefix value. Defaults to <tt>true</tt>. |
| * @param {Number} [attributes.limit] The maximum number of results to show. |
| * Defaults to 10. |
| * @param {Number} [attributes.minLength] The minimum number of characters |
| * required to show suggestions. Defaults to 2. |
| * @param {String} [attributes.servlet] The URL path that follows the solr |
| * webapp, for use in auto-complete queries. If not specified, the manager's |
| * servlet property will be used. You may prepend the servlet with a core if |
| * using multiple cores. It is a good idea to use a non-default one to |
| * differentiate these requests in server logs and Solr statistics. |
| */ |
| constructor: function (attributes) { |
| AjaxSolr.AutocompleteTermWidget.__super__.constructor.apply(this, arguments); |
| AjaxSolr.extend(this, { |
| field: null, |
| tokenized: true, |
| lowercase: true, |
| limit: 10, |
| minLength: 2, |
| servlet: null |
| }, attributes); |
| }, |
| |
| init: function () { |
| var self = this; |
| |
| if (!this.field) { |
| throw '"field" must be set on AutocompleteTermWidget.'; |
| } |
| this.servlet = this.servlet || this.manager.servlet; |
| |
| $(this.target).find('input').bind('keydown', function (e) { |
| if (e.which == 13) { |
| var q = $(this).val(); |
| if (self.set(q)) { |
| self.doRequest(); |
| } |
| } |
| }); |
| |
| $(this.target).find('input').autocomplete({ |
| source: function (request, response) { // note: must always call response() |
| // If term ends with a space: |
| if (request.term.charAt(request.term.length - 1).replace(/^ +/, '').replace(/ +$/, '') == '') { |
| response(); |
| return; |
| } |
| |
| var term = request.term, |
| facetPrefix = term, // before the last word (if we tokenize) |
| fq = '', |
| store = new AjaxSolr.ParameterStore(); |
| |
| store.addByValue('fq', self.manager.store.values('fq')); |
| |
| if (self.tokenized) { |
| // Split out the last word of the term from the words before it. |
| var lastSpace = term.lastIndexOf(' '); |
| if (lastSpace > -1) { |
| fq = term.substring(0, lastSpace); |
| facetPrefix = term.substring(lastSpace + 1); |
| store.addByValue('fq', '{!dismax qf=' + self.field + '}' + fq); |
| } |
| } |
| if (self.lowercase) { |
| facetPrefix = facetPrefix.toLowerCase(); |
| } |
| |
| store.addByValue('facet.field', self.field); |
| store.addByValue('facet.limit', self.limit); |
| store.addByValue('facet.prefix', facetPrefix); |
| |
| self.manager.executeRequest(self.servlet, 'json.nl=arrarr&q=*:*&rows=0&facet=true&facet.mincount=1&' + store.string(), function (data) { |
| response($.map(data.facet_counts.facet_fields[self.field], function (term) { |
| var q = (fq + ' ' + term[0]).replace(/^ +/, '').replace(/ +$/, ''); |
| return { |
| label: q + ' (' + term[1] + ')', |
| value: q |
| } |
| })); |
| }); |
| }, |
| minLength: this.minLength, |
| select: function(event, ui) { |
| if (self.set(ui.item.value)) { |
| self.doRequest(); |
| } |
| } |
| }); |
| } |
| }); |
| |
| })(jQuery); |