Back-end service providing rural attractivnes data and analysis tools.

František Zadražil 502cf4d31e Merge branch 'jm-georeport' of fzadrazil/rural-attractivness-service into master %!s(int64=5) %!d(string=hai) anos
data 6eed69d735 Consolidate data input for attractiveness index and clusters %!s(int64=5) %!d(string=hai) anos
r 6ea62ca9aa Fix error in R script %!s(int64=5) %!d(string=hai) anos
static 2e885770c1 Add pilots metadata to the reports. Add category column. %!s(int64=5) %!d(string=hai) anos
views 1c4691d5a7 Nicer Region score formatting in report %!s(int64=5) %!d(string=hai) anos
.babelrc 4c6c0a898f Add nodemon %!s(int64=5) %!d(string=hai) anos
.gitignore 6eed69d735 Consolidate data input for attractiveness index and clusters %!s(int64=5) %!d(string=hai) anos
README.md c86a81febc Update README %!s(int64=5) %!d(string=hai) anos
helpers.js 2e885770c1 Add pilots metadata to the reports. Add category column. %!s(int64=5) %!d(string=hai) anos
index.js fa45e73a24 Format index.js & Return better error msg %!s(int64=5) %!d(string=hai) anos
nuts-data.js 6eed69d735 Consolidate data input for attractiveness index and clusters %!s(int64=5) %!d(string=hai) anos
package-lock.json b2c0f508eb Add first version of NUTS 3 georeport feature %!s(int64=5) %!d(string=hai) anos
package.json b2c0f508eb Add first version of NUTS 3 georeport feature %!s(int64=5) %!d(string=hai) anos
test.html c6b02b9edd Modify /clusters service to manipulate CSV data %!s(int64=5) %!d(string=hai) anos

README.md

Rural Attractivness back-end service

After the update of source data, refresh the service cache

GET https://publish.lesprojekt.cz/nodejs/refresh

List of all the datasets

GET https://publish.lesprojekt.cz/nodejs/datasets

Attractivity data for the region with ID equal to the 'nuts' parameter

GET https://publish.lesprojekt.cz/nodejs/scores/{nuts}/

Attractivity data for all the regions in source CSV data

GET https://publish.lesprojekt.cz/nodejs/scores

Computes and returns attractivity data for all the NUTS regions based on the incomming datasets and factor weights

POST https://publish.lesprojekt.cz/nodejs/scores

Computes and returns clusters based on attractivity data for all the NUTS regions and based on the incoming datasets and factor weights

POST https://publish.lesprojekt.cz/nodejs/clusters

Start the system service

sudo systemctl start fz-node-rural_attractiveness