docker-geomatic
This is a docker container meant to work with Django Docker Processes
to provide batch processing of GIS data over Django and Docker. So for example, if you wanted to turn a DEM to an RGB image, you could pass this container a URL containing the DEM data, let's call it elevation.dem
and then use Django Docker Processes to set up a task that runs gdal_dem2rgb
and handles the resulting image.
The following parameters are required as environment variables. There's no reason for the Docker container to be interactive or attached to a terminal - all data is captured by the script and POSTed to the RESPONSE_URL
or ABORT_URL
:
PARAMS
orPARAMS_URL
- a JSON object or url that contains at least the items "command", and "args" and/or "kwargs"RESPONSE_URL
- the URL of an endpoint that expects the results of the POST. This is set by Django Docker Processes and you should not override it.ABORT_URL
- the same as above, except for when something goes wrongSRC_URL
- the URL with which to retrieve the source dataSRC_FILENAME
- the filename to use for the source data on disk.UNZIP_SRC
- set if the source file is a ZIP file, such as a shapefile. If you shapefile is in a subfolder in the ZIP file and not extracted to the root path, then you should prepend the subfolder path toSRC_FILENAME
without a leading/
.ASSIGN_SRS
- a .PRJ file as a string or the EPSG codestrings like "EPSG:4326" or "EPSG:3857". This tells docker-geomatic to write out a projection file because the source doesn't include one for some reason.
All typical GDAL and OGR programs installed by default on Ubuntu are supported.