mapgen-fastapi

FastAPI application to generate mapserver mapfiles and redirect to OGC WMS/WCS/WFS getcapabilities

Getting started

git clone https://gitlab.met.no/s-enda/data-visualization-services/mapgen-fastapi
cd mapgen-fastapi
docker-compose up

Access the API swaggler UI at http://localhost/docs

• Test the redirect API:

curl -L -X 'GET' \
  'http://localhost/api/get_mapserv' \
  -H 'accept: */*'

• Test embedding a response into a template:

Send a json string as input parameter data:

{
  "data": {
    "id1": {
      "title": "Title",
      "feature_type": "NA",
      "resources": {
        "OGC:WMS": [
          "http://nbswms.met.no/thredds/wms_ql/NBS/S1A/2021/05/18/EW/S1A_EW_GRDM_1SDH_20210518T070428_20210518T070534_037939_047A42_65CD.nc?SERVICE=WMS&REQUEST=GetCapabilities"
        ]
      }
    }
  },
  "email": "epiesasha@me.com",
  "project": "Mapserver"
}

execute:

curl -L -X 'GET' \
  'http://localhost/dashboard?data=%7B%20%20%20%22data%22%3A%20%7B%20%20%20%20%20%22id1%22%3A%20%7B%20%20%20%20%20%20%20%22title%22%3A%20%22Title%22%2C%20%20%20%20%20%20%20%22feature_type%22%3A%20%22NA%22%2C%20%20%20%20%20%20%20%22resources%22%3A%20%7B%20%20%20%20%20%20%20%20%20%22OGC%3AWMS%22%3A%20%5B%20%20%20%20%20%20%20%20%20%20%20%22http%3A%2F%2Fnbswms.met.no%2Fthredds%2Fwms_ql%2FNBS%2FS1A%2F2021%2F05%2F18%2FEW%2FS1A_EW_GRDM_1SDH_20210518T070428_20210518T070534_037939_047A42_65CD.nc%3FSERVICE%3DWMS%26REQUEST%3DGetCapabilities%22%20%20%20%20%20%20%20%20%20%5D%20%20%20%20%20%20%20%7D%20%20%20%20%20%7D%20%20%20%7D%2C%20%20%20%22email%22%3A%20%22epiesasha%40me.com%22%2C%20%20%20%22project%22%3A%20%22Mapserver%22%20%7D' \
  -H 'accept: application/json'

or access the corresponding URL

Create module for new type of netcdf data

First of all, netcdf come in infinite number of variations. So most likely you need a module to be able to handle your netcdf data.

There are two main differences:

1. gridded data
2. not gridded data

The first means the data is gridded with equal distance between each grid point. An example is NWP data. Second is data with unequal distance between each grid point. An example is satellite data in swath; the further away from the sub satellite point the greater the distance between each grid/data point/value. These data will require a resampling before it can be used as the first. From there the handeling is the same.

Add not gridded data

An example is the existing module satellite_satpy_quicklook.py. Here satellite data is resampled before it can be served which adds some complexity to the processing. For the resampling the satpy package is used. The satpy can read many types of data. Check https://satpy.readthedocs.io/en/stable/index.html#reader-table for supported data.

Add gridded data

Please have a look at gridded_data_quicklook_template.py. Here you would need to implement your own handler and add configuration accordingly.