How to use matchQuery method in wpt

Best JavaScript code snippet using wpt

MatchQuery.js

Source:MatchQuery.js Github

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1 /**2 @class3 A <code>MatchQuery</code> is a type of <code>Query</code> that accepts 4 text/numerics/dates, analyzes it, generates a query based on the5 <code>MatchQuery</code> type.6 7 @name ejs.MatchQuery8 @desc9 A Query that appects text, analyzes it, generates internal query based10 on the MatchQuery type.11 @param {String} field the document field/field to query against12 @param {String} qstr the query string13 */14 ejs.MatchQuery = function (field, qstr) {15 /**16 The internal query object. <code>Use get()</code>17 @member ejs.MatchQuery18 @property {Object} query19 */20 var query = {21 match: {}22 };23 24 query.match[field] = {25 query: qstr26 };27 return {28 /**29 Sets the boost value for documents matching the <code>Query</code>.30 @member ejs.MatchQuery31 @param {Number} boost A positive <code>double</code> value.32 @returns {Object} returns <code>this</code> so that calls can be chained.33 */34 boost: function (boost) {35 if (boost == null) {36 return query.match[field].boost;37 }38 query.match[field].boost = boost;39 return this;40 },41 /**42 Sets the query string for the <code>Query</code>.43 @member ejs.MatchQuery44 @param {String} qstr The query string to search for.45 @returns {Object} returns <code>this</code> so that calls can be chained.46 */47 query: function (qstr) {48 if (qstr == null) {49 return query.match[field].query;50 }51 query.match[field].query = qstr;52 return this;53 },54 /**55 Sets the type of the <code>MatchQuery</code>. Valid values are56 boolean, phrase, and phrase_prefix.57 @member ejs.MatchQuery58 @param {String} type Any of boolean, phrase, phrase_prefix.59 @returns {Object} returns <code>this</code> so that calls can be chained.60 */61 type: function (type) {62 if (type == null) {63 return query.match[field].type;64 }65 type = type.toLowerCase();66 if (type === 'boolean' || type === 'phrase' || type === 'phrase_prefix') {67 query.match[field].type = type;68 }69 return this;70 },71 /**72 Sets the fuzziness value for the <code>Query</code>.73 @member ejs.MatchQuery74 @param {Double} fuzz A <code>double</code> value between 0.0 and 1.0.75 @returns {Object} returns <code>this</code> so that calls can be chained.76 */77 fuzziness: function (fuzz) {78 if (fuzz == null) {79 return query.match[field].fuzziness;80 }81 query.match[field].fuzziness = fuzz;82 return this;83 },84 /**85 Sets the maximum threshold/frequency to be considered a low 86 frequency term in a <code>CommonTermsQuery</code>. 87 Set to a value between 0 and 1.88 @member ejs.MatchQuery89 @param {Number} freq A positive <code>double</code> value.90 @returns {Object} returns <code>this</code> so that calls can be chained.91 */92 cutoffFrequency: function (freq) {93 if (freq == null) {94 return query.match[field].cutoff_frequency;95 }96 query.match[field].cutoff_frequency = freq;97 return this;98 },99 100 /**101 Sets the prefix length for a fuzzy prefix <code>MatchQuery</code>.102 @member ejs.MatchQuery103 @param {Integer} l A positive <code>integer</code> length value.104 @returns {Object} returns <code>this</code> so that calls can be chained.105 */106 prefixLength: function (l) {107 if (l == null) {108 return query.match[field].prefix_length;109 }110 query.match[field].prefix_length = l;111 return this;112 },113 /**114 Sets the max expansions of a fuzzy <code>MatchQuery</code>.115 @member ejs.MatchQuery116 @param {Integer} e A positive <code>integer</code> value.117 @returns {Object} returns <code>this</code> so that calls can be chained.118 */119 maxExpansions: function (e) {120 if (e == null) {121 return query.match[field].max_expansions;122 }123 query.match[field].max_expansions = e;124 return this;125 },126 /**127 Sets default operator of the <code>Query</code>. Default: or.128 @member ejs.MatchQuery129 @param {String} op Any of "and" or "or", no quote characters.130 @returns {Object} returns <code>this</code> so that calls can be chained.131 */132 operator: function (op) {133 if (op == null) {134 return query.match[field].operator;135 }136 op = op.toLowerCase();137 if (op === 'and' || op === 'or') {138 query.match[field].operator = op;139 }140 return this;141 },142 /**143 Sets the default slop for phrases. If zero, then exact phrase matches144 are required. Default: 0.145 @member ejs.MatchQuery146 @param {Integer} slop A positive <code>integer</code> value.147 @returns {Object} returns <code>this</code> so that calls can be chained.148 */149 slop: function (slop) {150 if (slop == null) {151 return query.match[field].slop;152 }153 query.match[field].slop = slop;154 return this;155 },156 /**157 Sets the analyzer name used to analyze the <code>Query</code> object.158 @member ejs.MatchQuery159 @param {String} analyzer A valid analyzer name.160 @returns {Object} returns <code>this</code> so that calls can be chained.161 */162 analyzer: function (analyzer) {163 if (analyzer == null) {164 return query.match[field].analyzer;165 }166 query.match[field].analyzer = analyzer;167 return this;168 },169 /**170 Sets a percent value controlling how many "should" clauses in the171 resulting <code>Query</code> should match.172 @member ejs.MatchQuery173 @param {Integer} minMatch An <code>integer</code> between 0 and 100.174 @returns {Object} returns <code>this</code> so that calls can be chained.175 */176 minimumShouldMatch: function (minMatch) {177 if (minMatch == null) {178 return query.match[field].minimum_should_match;179 }180 query.match[field].minimum_should_match = minMatch;181 return this;182 },183 184 /**185 Sets rewrite method. Valid values are: 186 187 constant_score_auto - tries to pick the best constant-score rewrite 188 method based on term and document counts from the query189 190 scoring_boolean - translates each term into boolean should and 191 keeps the scores as computed by the query192 193 constant_score_boolean - same as scoring_boolean, expect no scores194 are computed.195 196 constant_score_filter - first creates a private Filter, by visiting 197 each term in sequence and marking all docs for that term198 199 top_terms_boost_N - first translates each term into boolean should200 and scores are only computed as the boost using the top N201 scoring terms. Replace N with an integer value.202 203 top_terms_N - first translates each term into boolean should204 and keeps the scores as computed by the query. Only the top N205 scoring terms are used. Replace N with an integer value.206 207 Default is constant_score_auto.208 This is an advanced option, use with care.209 @member ejs.MatchQuery210 @param {String} m The rewrite method as a string.211 @returns {Object} returns <code>this</code> so that calls can be chained.212 */213 rewrite: function (m) {214 if (m == null) {215 return query.match[field].rewrite;216 }217 218 m = m.toLowerCase();219 if (m === 'constant_score_auto' || m === 'scoring_boolean' ||220 m === 'constant_score_boolean' || m === 'constant_score_filter' ||221 m.indexOf('top_terms_boost_') === 0 || 222 m.indexOf('top_terms_') === 0) {223 224 query.match[field].rewrite = m;225 }226 227 return this;228 },229 230 /**231 Sets fuzzy rewrite method. Valid values are: 232 233 constant_score_auto - tries to pick the best constant-score rewrite 234 method based on term and document counts from the query235 236 scoring_boolean - translates each term into boolean should and 237 keeps the scores as computed by the query238 239 constant_score_boolean - same as scoring_boolean, expect no scores240 are computed.241 242 constant_score_filter - first creates a private Filter, by visiting 243 each term in sequence and marking all docs for that term244 245 top_terms_boost_N - first translates each term into boolean should246 and scores are only computed as the boost using the top N247 scoring terms. Replace N with an integer value.248 249 top_terms_N - first translates each term into boolean should250 and keeps the scores as computed by the query. Only the top N251 scoring terms are used. Replace N with an integer value.252 253 Default is constant_score_auto.254 This is an advanced option, use with care.255 256 @member ejs.MatchQuery257 @param {String} m The rewrite method as a string.258 @returns {Object} returns <code>this</code> so that calls can be chained.259 */260 fuzzyRewrite: function (m) {261 if (m == null) {262 return query.match[field].fuzzy_rewrite;263 }264 m = m.toLowerCase();265 if (m === 'constant_score_auto' || m === 'scoring_boolean' ||266 m === 'constant_score_boolean' || m === 'constant_score_filter' ||267 m.indexOf('top_terms_boost_') === 0 || 268 m.indexOf('top_terms_') === 0) {269 270 query.match[field].fuzzy_rewrite = m;271 }272 273 return this;274 },275 276 /**277 Set to false to use classic Levenshtein edit distance in the 278 fuzzy query.279 @member ejs.MatchQuery280 @param {Boolean} trueFalse A boolean value281 @returns {Object} returns <code>this</code> so that calls can be chained.282 */283 fuzzyTranspositions: function (trueFalse) {284 if (trueFalse == null) {285 return query.match[field].fuzzy_transpositions;286 }287 query.match[field].fuzzy_transpositions = trueFalse;288 return this;289 },290 /**291 Enables lenient parsing of the query string.292 @member ejs.MatchQuery293 @param {Boolean} trueFalse A boolean value294 @returns {Object} returns <code>this</code> so that calls can be chained.295 */296 lenient: function (trueFalse) {297 if (trueFalse == null) {298 return query.match[field].lenient;299 }300 query.match[field].lenient = trueFalse;301 return this;302 },303 304 /**305 Sets what happens when no terms match. Valid values are306 "all" or "none". 307 @member ejs.MatchQuery308 @param {String} q A no match action, "all" or "none".309 @returns {Object} returns <code>this</code> so that calls can be chained.310 */311 zeroTermsQuery: function (q) {312 if (q == null) {313 return query.match[field].zero_terms_query;314 }315 q = q.toLowerCase();316 if (q === 'all' || q === 'none') {317 query.match[field].zero_terms_query = q;318 }319 320 return this;321 },322 323 /**324 Allows you to serialize this object into a JSON encoded string.325 @member ejs.MatchQuery326 @returns {String} returns this object as a serialized JSON string.327 */328 toString: function () {329 return JSON.stringify(query);330 },331 /**332 The type of ejs object. For internal use only.333 334 @member ejs.MatchQuery335 @returns {String} the type of object336 */337 _type: function () {338 return 'query';339 },340 341 /**342 Retrieves the internal <code>query</code> object. This is typically used by343 internal API functions so use with caution.344 @member ejs.MatchQuery345 @returns {String} returns this object's internal <code>query</code> property.346 */347 _self: function () {348 return query;349 }350 };...

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troc_get.ts

Source:troc_get.ts Github

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1import { RequestHandler } from 'express'2import mongoose, { FilterQuery, Mongoose } from 'mongoose'3import type { Troc, Article as IArticle } from '../../types'4import TrocModel from '../models/troc'5import Article from '../models/article'6import Payment from '../models/payment'7import Subscribe from '../models/subscribe'8const { ObjectId } = mongoose.Types9/**10 * Return tous les infos nécéssaire au graphique11 */12export const getStats: RequestHandler = async (req, res, next) => {13 try {14 const { trocId = '', subscribeId = '' } = req.query15 if (!trocId && !subscribeId) throw 'trocId or subscribeId is required'16 if (typeof trocId !== 'string') throw 'trocId query need to be a string'17 if (typeof subscribeId !== 'string')18 throw 'subscribeId query need to be a string'19 if (subscribeId) {20 const [articlesProposed, articlesBuyed, payments] = await Promise.all([21 Article.find({ providerSubId: subscribeId }),22 Article.find({ buyerSubId: subscribeId }),23 Payment.find({ userSubId: subscribeId }),24 ])25 res.json({ articlesProposed, articlesBuyed, payments })26 } else {27 const [articlesProposed, articlesBuyed, payments] = await Promise.all([28 Article.find({ trocId }),29 Article.find({ trocId, sold: { $exists: true } }),30 Payment.find({ trocId }),31 ])32 res.json({ articlesProposed, articlesBuyed, payments })33 }34 } catch (error) {35 next(error)36 }37}38export const search: RequestHandler = async (req, res, next) => {39 let {40 _id,41 search,42 skip = 0,43 limit = 20,44 start,45 end,46 north,47 east,48 sud,49 west,50 } = req.query51 let matchQuery: FilterQuery<Troc & Document> = {}52 if (_id) matchQuery = { _id }53 else {54 matchQuery = { is_try: false }55 if (search && search.length) {56 let regexp = new RegExp(search, 'i')57 matchQuery.$or = []58 matchQuery.$or.push({ name: regexp })59 matchQuery.$or.push({ description: regexp })60 matchQuery.$or.push({ address: regexp })61 matchQuery.$or.push({ society: regexp })62 }63 if (start || end || north || east || sud || west) matchQuery.$and = []64 if (start)65 matchQuery.$and.push({ 'schedule.close': { $gte: new Date(start) } })66 if (end) matchQuery.$and.push({ 'schedule.open': { $lte: new Date(end) } })67 if (!isNaN(north)) matchQuery.$and.push({ 'location.lat': { $lt: +north } })68 if (!isNaN(east)) matchQuery.$and.push({ 'location.lng': { $lt: +east } })69 if (!isNaN(sud)) matchQuery.$and.push({ 'location.lat': { $gt: +sud } })70 if (!isNaN(west)) matchQuery.$and.push({ 'location.lng': { $gt: +west } })71 }72 const aggregate = TrocModel.aggregate()73 .match(matchQuery)74 .skip(Number(skip))75 .limit(Number(limit))76 addComputedFields(aggregate)77 if (req.session.user) lookupSubscribe(aggregate, req.session.user._id)78 const trocs = await aggregate.exec()79 res.json(trocs)80}81export const getTroc: RequestHandler = async (req, res, next) => {82 try {83 const { trocId } = req.query84 if (!trocId) throw 'query "trocId" is required'85 const aggregate = TrocModel.aggregate().match({ _id: new ObjectId(trocId) })86 if (req.session.user) lookupSubscribe(aggregate, req.session.user._id)87 addComputedFields(aggregate)88 const trocs = await aggregate.exec()89 if (!trocs.length) return next(Error('Not found'))90 res.json(trocs[0])91 } catch (error) {92 next(error)93 }94}95/**96 * Add computed fields from schedule97 */98export function addComputedFields(aggregate: mongoose.Aggregate<any[]>) {99 const NOW = new Date()100 aggregate101 .addFields({102 open: { $min: `$schedule.open` },103 close: { $max: `$schedule.close` },104 })105 .addFields({106 isClosed: { $gt: [NOW, '$close'] },107 isOpen: { $and: [{ $lt: [NOW, '$close'] }, { $gt: [NOW, '$open'] }] },108 })109}110/**111 * Add user role from subscribe document112 */113export function lookupSubscribe(114 aggregate: mongoose.Aggregate<Troc[]>,115 userId?: string116): void {117 aggregate118 .lookup({119 from: 'subscribes',120 let: { trocId: '$_id' },121 pipeline: [122 {123 $match: {124 $expr: {125 $and: [126 { $eq: ['$trocId', '$$trocId'] },127 { $eq: ['$userId', new ObjectId(userId)] },128 ],129 },130 },131 },132 ],133 as: 'subscribe',134 })135 .addFields({136 subscribe: { $arrayElemAt: ['$subscribe', 0] },137 })138}139/**140 * Retourne le compte des subscribes et des articles proposé141 */142export const getTrocCounter: RequestHandler = async (req, res, next) => {143 try {144 const { trocId } = req.query145 if (!trocId) throw 'Query "trocId" is required'146 const [articlesCount, subscribesCount] = await Promise.all([147 Article.countDocuments({ trocId }),148 Subscribe.countDocuments({ trocId, validedByUser: true }),149 ])150 res.json({ articlesCount, subscribesCount })151 } catch (error) {152 next(error)153 }...

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Using AI Code Generation

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1var wptoolbox = require('wptoolbox');2wp.matchQuery('Albert Einstein', function(err, result) {3 if (err) {4 console.log(err);5 } else {6 console.log(result);7 }8});9This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

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Using AI Code Generation

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1var wptools = require('wptools');2var fs = require('fs');3var async = require('async');4var data = fs.readFileSync('data.json', 'utf8');5var json = JSON.parse(data);6var i = 0;7var j = 0;8var k = 0;9var l = 0;10var m = 0;11var n = 0;12var json1 = [];13var json2 = [];14var json3 = [];15var json4 = [];16var json5 = [];17var json6 = [];18var json7 = [];19var json8 = [];20var json9 = [];21var json10 = [];22var json11 = [];23var json12 = [];24var json13 = [];25var json14 = [];26var json15 = [];27var json16 = [];28var json17 = [];29var json18 = [];30var json19 = [];31var json20 = [];32var json21 = [];33var json22 = [];34var json23 = [];35var json24 = [];36var json25 = [];37var json26 = [];38var json27 = [];39var json28 = [];40var json29 = [];41var json30 = [];42var json31 = [];43var json32 = [];44var json33 = [];45var json34 = [];46var json35 = [];47var json36 = [];48var json37 = [];49var json38 = [];50var json39 = [];51var json40 = [];52var json41 = [];53var json42 = [];54var json43 = [];55var json44 = [];56var json45 = [];57var json46 = [];58var json47 = [];59var json48 = [];60var json49 = [];61var json50 = [];62var json51 = [];63var json52 = [];64var json53 = [];65var json54 = [];66var json55 = [];67var json56 = [];68var json57 = [];69var json58 = [];70var json59 = [];71var json60 = [];72var json61 = [];73var json62 = [];74var json63 = [];75var json64 = [];76var json65 = [];77var json66 = [];78var json67 = [];79var json68 = [];80var json69 = [];81var json70 = [];82var json71 = [];83var json72 = [];84var json73 = [];85var json74 = [];86var json75 = [];87var json76 = [];88var json77 = [];89var json78 = [];90var json79 = [];91var json80 = [];92var json81 = [];93var json82 = [];94var json83 = [];

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Using AI Code Generation

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1var wptools = require('wptools');2var page = wptools.page('Barack Obama');3page.matchQuery('Barack Obama');4page.get(function(err,resp){5 console.log(resp);6});7{ 8 [ { title: 'Barack Obama',9 importance: 0.781,10 importance: 0.781,11 class: 'place' } ],12 {

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Using AI Code Generation

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1const wptools = require('wptools');2const fs = require('fs');3const query = wptools.page('Barack Obama');4query.get()5 .then(function (result) {6 console.log(result);7 fs.writeFile('result.json', JSON.stringify(result, null, 2), 'utf8', function (err) {8 if (err) {9 console.log('Some error occured - file either not saved or corrupted file saved.');10 } else {11 console.log('It\'s saved!');12 }13 });14 })15 .catch(function (error) {16 console.log(error);17 });

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