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2 Commits
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| 867194ad5c | |||
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24971248c9 |
3
.gitignore
vendored
@ -1,3 +1,6 @@
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# credentials
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.env
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# compiled output
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/dist
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22
.vscode/launch.json
vendored
Normal file
@ -0,0 +1,22 @@
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{
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// Verwendet IntelliSense zum Ermitteln möglicher Attribute.
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// Zeigen Sie auf vorhandene Attribute, um die zugehörigen Beschreibungen anzuzeigen.
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// Weitere Informationen finden Sie unter https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"console": "integratedTerminal",
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"internalConsoleOptions": "neverOpen",
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"name": "NodeJS: nodemon debug",
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"program": "${workspaceFolder}/backend/app.js",
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"request": "launch",
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"restart": true,
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"runtimeExecutable": "nodemon",
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"skipFiles": [
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"<node_internals>/**"
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],
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"type": "node",
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"envFile": "${workspaceFolder}/backend/.env",
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}
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]
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}
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@ -12,6 +12,7 @@ Campus Cup AKMC Data Traveloptimizer
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- import `setup.sql` for sample data
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### Start
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- If you run for the first time: `$(cd backend && npm i)`
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- Run `$(cd backend && npm run start)`
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- call http://localhost:3000/v1/update/climate to fetch climate data for sample entries.
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@ -26,6 +27,10 @@ Campus Cup AKMC Data Traveloptimizer
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- sunhours=NUMBER,NUMBER
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- percipitation=NUMBER,NUMBER
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Alternatively:
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- q=<base64encoded>
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- q supports all params from above but values are passed as array.
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__Examples:__
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http://localhost:3000/v1/search?from=2020-06-14&to=2020-07-29&temperature=27,29&raindays=8,12&sunhours=250,300
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http://localhost:3000/v1/search?from=2020-06-14&to=2020-07-29
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@ -14,7 +14,7 @@
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-- Exportiere Datenbank Struktur für travopti
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DROP DATABASE IF EXISTS `travopti`;
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CREATE DATABASE IF NOT EXISTS `travopti` /*!40100 DEFAULT CHARACTER SET latin1 */;
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CREATE DATABASE IF NOT EXISTS `travopti` /*!40100 DEFAULT CHARACTER SET utf8 */;
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USE `travopti`;
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-- Exportiere Struktur von Tabelle travopti.countries
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@ -1,5 +0,0 @@
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METEOSTAT_API_KEY=LMlDskju
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DB_HOST=localhost
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DB_USER=root
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DB_PASSWORD=devtest
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DB_PORT=3306
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5
backend/.env.sample
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METEOSTAT_API_KEY=
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DB_HOST=
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DB_USER=
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DB_PASSWORD=
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DB_PORT=
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@ -11,7 +11,7 @@ const app = express()
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const port = 3000
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//const multiplier_temp = 5
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const multiplier = {
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temperature_mean: 5,
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temperature_mean_max: 5,
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percipitation: 3.5,
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raindays: 3,
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sunhours: 2.5,
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@ -28,12 +28,18 @@ const samplePresets = [
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app.get('/', (req, res) => res.send('Hello Timo!'))
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app.get('/v1/regions', (req, res) => getAllRegions().then(x => res.json({ data: x })))
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app.get('/v1/countries', (req, res) => getAllCountries().then(x => res.json({ data: x })))
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app.get('/v1/presets', (req, res) => res.json({ data: samplePresets}))
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app.get('/v1/search', searchHandler)
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app.get('/v1/update/climate', climateUpdateHandler)
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app.get('/v1/regions/:id/image', regionImageHandler)
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app.listen(port, () => console.log(`Travopti backend listening at http://localhost:${port}`))
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function regionImageHandler(req, res) {
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res.sendFile(__dirname+`/data/regions/images/${req.params.id}.jpg`)
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}
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function climateUpdateHandler(req, res) {
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let parameter = []
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if (req.query.startDate) parameter.push(req.query.startDate)
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@ -64,7 +70,7 @@ function searchHandler(req, res) {
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console.log('Q:', q)
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let queryObj = {}
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if (q.temperature) queryObj['temperature_mean'] = q.temperature
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if (q.temperature) queryObj['temperature_mean_max'] = q.temperature
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if (q.percipitation) queryObj['percipitation'] = q.percipitation
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if (q.raindays) queryObj['raindays'] = q.raindays
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if (q.sunhours) queryObj['sunhours'] = q.sunhours
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@ -88,11 +94,11 @@ async function scoreAndSearch(from, to, queries) {
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// randomize if empty queries
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if (_.isEmpty(queries)) {
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let t = _.round(_.random(minMax.min.temperature_mean, minMax.max.temperature_mean-5),0)
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let t = _.round(_.random(minMax.min.temperature_mean_max, minMax.max.temperature_mean_max-5),0)
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let p = _.round(_.random(minMax.min.percipitation, minMax.max.percipitation - 50), 0)
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let r = _.round(_.random(minMax.min.raindays, minMax.max.raindays - 5), 0)
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let s = _.round(_.random(minMax.min.sunhours, minMax.max.sunhours - 50), 0)
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queries.temperature_mean = `${t},${t + 5}`
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queries.temperature_mean_max = `${t},${t + 5}`
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queries.percipitation = `${p},${p + 50}`
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queries.raindays = `${r},${r + 5}`
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queries.sunhours = `${s},${s + 50}`
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@ -238,6 +244,14 @@ function getAllRegions() {
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return getQueryRows(sql)
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}
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function getAllCountries() {
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const sql = `SELECT
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id AS id,
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country AS name,
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FROM countries`
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return getQueryRows(sql)
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}
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function getClimatePerRegionAndMonth(regionId, month) {
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console.log('getClimatePerRegionAndMonth')
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const sql = `SELECT region_id, AVG(temperature_mean), AVG(temperature_mean_min), AVG(temperature_mean_max), AVG(percipitation), AVG(sunshine) FROM region_climate WHERE month = ${month} AND region_id = ${regionId}`
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@ -263,7 +277,7 @@ function getAllRegionsWithClimatePerMonth(month) {
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function oldToNewQuerySyntax(queries) {
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let res = {}
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try {
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if (queries.temperature_mean) res.temperature_mean = [queries.temperature_mean.split(',')[0], queries.temperature_mean.split(',')[1]]
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if (queries.temperature_mean_max) res.temperature_mean_max = [queries.temperature_mean_max.split(',')[0], queries.temperature_mean_max.split(',')[1]]
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if (queries.percipitation) res.percipitation = [queries.percipitation.split(',')[0], queries.percipitation.split(',')[1]]
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if (queries.raindays) res.raindays = [queries.raindays.split(',')[0], queries.raindays.split(',')[1]]
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if (queries.sunhours) res.sunhours = [queries.sunhours.split(',')[0], queries.sunhours.split(',')[1]]
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BIN
backend/data/regions/images/10.jpg
Normal file
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After Width: | Height: | Size: 238 KiB |
BIN
backend/data/regions/images/11.jpg
Normal file
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After Width: | Height: | Size: 102 KiB |
BIN
backend/data/regions/images/12.jpg
Normal file
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After Width: | Height: | Size: 253 KiB |
BIN
backend/data/regions/images/13.jpg
Normal file
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After Width: | Height: | Size: 62 KiB |
BIN
backend/data/regions/images/18.jpg
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After Width: | Height: | Size: 555 KiB |
BIN
backend/data/regions/images/2.jpg
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After Width: | Height: | Size: 323 KiB |
BIN
backend/data/regions/images/24.jpg
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After Width: | Height: | Size: 1.1 MiB |
BIN
backend/data/regions/images/3.jpg
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After Width: | Height: | Size: 995 KiB |
BIN
backend/data/regions/images/6.jpg
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After Width: | Height: | Size: 287 KiB |
BIN
backend/data/regions/images/7.jpg
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After Width: | Height: | Size: 87 KiB |
BIN
backend/data/regions/images/9.jpg
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After Width: | Height: | Size: 504 KiB |
@ -3,6 +3,7 @@ const fs = require('fs')
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exports.transform = (data) => {
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data = _.cloneDeep(data)
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// get data
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// let data = JSON.parse(fs.readFileSync('transformer-test.json'));
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const types = Object.keys(data[0].scores)
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