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213 lines
9.3 KiB
JavaScript
213 lines
9.3 KiB
JavaScript
const config = require('../config')
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const express = require('../node_modules/express')
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const bodyParser = require('../node_modules/body-parser')
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// MCD API
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const rqt = require('../node_modules/rqt')
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const MCDSession = new rqt.Session({
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host: config.mcdEndpointLegacy,
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headers: config.mcdHeadersLegacy,
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})
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const querystring = require('../node_modules/querystring')
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const microService = express()
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microService.use(bodyParser.json(true))
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// MongoDB
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const { mongoose, Models } = require('../database')
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const ortSuche = (query) => {
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return rqt('https://nominatim.openstreetmap.org/search?format=json&q=' + encodeURIComponent(query + ', Deutschland'))
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}
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const ortSucheGoogle = async (query) => {
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return rqt.jqt('https://maps.googleapis.com/maps/api/place/textsearch/json?' + querystring.stringify({
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key: config.storeFinder.googlePlacesKey,
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query: query,
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}))
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}
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microService
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.post('/fillialsuche', async (req, res) => {
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let lon, lat, searchfield, place_id
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let correlationQuery = {}
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if (!!req.body.query) {
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let query = req.body.query.toString()
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console.log('Searching with Query')
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if (await Models.GoogleCacheResult.count({ query }) === 0) {
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let orte = await ortSucheGoogle(query)
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orte = orte.results
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if (orte.length > 0) {
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/*orte = orte.sort((a,b) => {
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a = a.importance * (a.type === 'city' ? 2 : 1)
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b = b.importance * (b.type === 'city' ? 2 : 1)
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return a > b
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})*/
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const ort = orte[0]
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lon = parseFloat(ort.geometry.location.lng)
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lat = parseFloat(ort.geometry.location.lat)
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searchfield = ort.name
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place_id = ort.place_id
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correlationQuery = {
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place_id: ort.place_id,
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longitude: lon,
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latitude: lat,
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}
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await Models.GoogleCacheResult.create({
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query,
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name: searchfield,
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place_id: place_id,
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longitude: lon,
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latitude: lat,
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})
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console.log('Google Result', lon, lat, searchfield, place_id)
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} else {
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console.log('Keine Orte von #1 gefunden')
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return res.status(400).json('Keine Orte gefunden')
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}
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} else {
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let cachedResult = await Models.GoogleCacheResult.findOne({ query })
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lon = cachedResult.longitude
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lat = cachedResult.latitude
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searchfield = cachedResult.name
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place_id = cachedResult.place_id
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correlationQuery = {
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place_id: place_id,
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longitude: lon,
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latitude: lat,
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}
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console.log('Cache Result', lon, lat, searchfield, place_id)
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}
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} else if (!!req.body.lat) {
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console.log('Searching with Location', req.body)
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lon = parseFloat(req.body.lon)
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lat = parseFloat(req.body.lat)
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correlationQuery = {
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longitude: parseInt(lon * 10000) / 10000,
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latitude: parseInt(lat * 10000) / 10000,
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}
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searchfield = ''
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place_id = false
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} else {
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console.log('Invalid Search')
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return res.status(400).json(false)
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}
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let restaurants = []
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if (!!correlationQuery) {
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let correlationCount = await Models.StoreFinderCorrelation.count(correlationQuery)
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console.log('correlationCount', correlationCount)
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if (correlationCount === 0) {
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console.log('No Correlations found, asking API')
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console.time('MCD Search')
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const restaurants = await rqt.jqt('https://www.mcdonalds.de/search', {
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method: 'POST',
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type: 'application/x-www-form-urlencoded; charset=UTF-8',
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data: querystring.stringify({
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longitude: lon,
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latitude: lat,
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searchfield: searchfield,
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radius: 12, // 12km umkreis suche
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coupon: true,
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}),
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timeout: 6000,
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})
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.then(($res) => {
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if ($res.unfilteredCount === 0) throw 'Keine Restaurants gefunden'
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$res.restaurantList = $res.restaurantList.sort((a, b) => a.distance - b.distance)
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return $res.restaurantList.map((entry) => {
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return entry.restaurant
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})
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})
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.then(async ($res) => {
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console.log('retaurants', $res)
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let restaurants = []
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for (let restaurant of $res) {
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let seoCount = await Models.Store.count({ seoURL: restaurant.seoURL })
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if (seoCount == 0) {
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let ecpStore = await MCDSession.jqt('/v3/restaurant/location?' + querystring.stringify({
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filter: 'search',
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query: JSON.stringify({
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market: 'DE',
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pageSize: 1,
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local: 'de-DE',
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generalStoreStatusCode: 'OPEN,TEMPCLOSE,RENOVATION',
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locationCriteria: {
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longitude: lon,
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latitude: lat,
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distance: 22000
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}
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}),
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}), { method: 'GET', type: 'json', })
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if (ecpStore.length === 0) continue; // Skip Restaurants, we dont have the ECPId for
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console.log(ecpStore)
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ecpStore = ecpStore[0]
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if (ecpStore.identifiers.storeIdentifier.filter((a) => a.identifierType == 'ECPID').length == 0) continue
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await Models.Store.create({
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id: restaurant.id,
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externalId: restaurant.externalId,
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storeId: ecpStore.id,
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storeECPId: ecpStore.identifiers.storeIdentifier.filter((a) => a.identifierType == 'ECPID')[0].identifierValue,
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latitude: restaurant.latitude,
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longitude: restaurant.longitude,
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city: restaurant.city,
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postalCode: restaurant.postalCode,
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address: restaurant.address,
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street: restaurant.street,
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phone: restaurant.phone,
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seoURL: restaurant.seoURL,
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name1: restaurant.name1,
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name2: restaurant.name2,
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lastRefresh: new Date(),
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})
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}
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let dbRestaurant = await Models.Store.findOne({ seoURL: restaurant.seoURL })
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restaurants.push(dbRestaurant)
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}
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console.timeEnd('MCD Search')
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return restaurants
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})
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.catch(($err) => {
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console.timeEnd('MCD Search')
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console.error($err)
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return false
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})
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if (!!restaurants) {
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for (let restaurant of restaurants) {
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if (await Models.StoreFinderCorrelation.count({
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...correlationQuery,
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store: restaurant._id,
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}) === 0) {
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await Models.StoreFinderCorrelation.create({
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...correlationQuery,
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store: restaurant._id,
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lastRefresh: new Date(),
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})
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}
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}
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return res.json(restaurants)
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} else {
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return res.json(false)
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}
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} else {
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console.time('Correlation Search')
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console.log('Correlations found, returning them...')
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let restaurantsDB = await Models.StoreFinderCorrelation
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.find(correlationQuery)
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.select('store')
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.populate('store');
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restaurants = restaurantsDB.map(corr => corr.store)
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console.timeEnd('Correlation Search')
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return res.json(restaurants)
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}
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}
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return res.json(false)
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})
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microService.listen(config.storeFinder.port, config.storeFinder.host) |