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README_MAPSERVER.md

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Prepare MapServer

Define these settings variables (AlertaDengue/settings.ini):

  • RASTER_PATH
  • RASTER_METEROLOGICAL_DATA_RANGE
  • SHAPEFILE_PATH
  • MAPFILE_PATH
  • MAPSERVER_LOG_PATH
  • MAPSERVER_URL

The raster files are structures as bellow:

RASTER_PATH
  |- meteorological
  |    |- country
  |    |    |- lst_day_1km
  |    |    |- ...
  |    |- city
  |    |    |- lst_day_1km
  |    |    |   |- 12345678
  |    |    |   |- ...
  |    |    |- ...
Note 1: 12345678 was used as a geocode.

Note 2: The folder named with class image name (e.g. lst_day_1km),
should be written with lower case. Example:

* lst_day_1km
* lst_night_1km
* ndvi
* precipitation
* relative_humidity_2m_above_ground
* specific_humidity_2m_above_ground

Generating meteorological geotiffs, alert and meteorological mapfiles

After these configuration is done, execute:

python manage.py generate_meteorological_raster_cities
python manage.py generate_mapfiles

The script will ask you a initial date to process the raster meteorological files.

Inside of each class image folder (e.g. lst_day_1km) there is one folder for each city, named with its geocode. For each city, the files is saved with the date as name (e.g. 20170101.tif)

Using MapServer Docker

To build the MapServer Docker image, type (at the project root directory):

docker build -t alertadengue/mapserver --file Dockerfile-mapserver .

If you want to use docker-compose, you need to set the following variables:

  • DOCKER_HOST_MAPFILES_DIR
  • DOCKER_HOST_SHAPEFILES_DIR
  • DOCKER_HOST_TIFFS_DIR
  • DOCKER_HOST_LOG_DIR

You can create and run this MapServer instance using:

docker run -v /var/www/mapserver/mapfiles:/maps:ro \
    -v $(pwd)/AlertaDengue/static/shapefile:/shapefiles:ro \
    -v /var/www/mapserver/tiffs:/tiffs:ro \
    -v /var/www/mapserver/log/:/var/log/mapserver \
    -it --name mapserver alertadengue/mapserver

Before you run your container, create a error.log file on your mapserver/log folder with 777 permission mode.