- install python requirements.txt on virtual env ( python > 3.8 )
- install nginx and set proper permissions
in define.py set the indexes_names: ndvi, ri, ...etc. Run python storage/create_db.py to create one table per index, with cols poly_id, value, datetime
use qgis to export shape file to a new table, with: db type: sqlite db file: pop.sqlite table(layer for qgis) name: pioppeti crs: WGS84 - EPSG: 4326 ( projected ) poly_id: required name in attribute table, with id of polygon.
Note: see screenshot in docs. Note 2: Projected coordinated are nneded by leaflet in order to correcly show polygons.
Go to /var/www/pop/html/ ( or whatever nginx uses ) and use symlinks to point those file: geojson/pop.geojson server/index.html
frer@dev:/var/www/pop/html$ ll
total 8
drwxrwxr-x 2 frer frer 4096 lug 1 15:21 ./
drwxr-xr-x 3 frer frer 4096 giu 10 14:48 ../
lrwxrwxrwx 1 frer frer 43 lug 1 12:01 index.html -> /home/frer/workspace/pop2/server/index.html
lrwxrwxrwx 1 frer frer 45 lug 1 12:11 pop.geojson -> /home/frer/workspace/pop2/geojson/pop.geojson
frer@dev:/var/www/pop/html$