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213 lines
9.3 KiB
JavaScript

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