Datacube Web Processing Service

• Free software: Apache Software License 2.0

Datacube WPS is based on PYWPS (https://github.com/geopython/pywps) version 4.2.4

Available processes are below:

• FCDrill
• WOfSDrill

To run the WPS on localhost modify pywps.cfg to point url and outputurl to localhost. workdir and outputpath should be left as tmp and outputs respectively for a local dev server and base_route should be / see example:

url=http://localhost:5000
workdir=tmp
outputurl=http://localhost:5000/outputs/
outputpath=outputs
base_route=/

Once configured a local server can be run by exporting the FLASK_APP environment variable and running flask:

export FLASK_APP=wps.py
flask run

Assumes only a single instance of datacube-wps will be started. Multiple instances of datacube-wps will require a shared outputs folder between all instances.

• Define the service URL (e.g https://wps.services.dea.ga.gov.au)
• Modify pywps.cfg, in the example case:

url=https://wps.services.dea.ga.gov.au
outputurl=https://wps.services.dea.ga.gov.au/outputs/

• The wps can be started using gunicorn: gunicorn -b 0.0.0.0:8000 wps:app

The processes which are available to users of the WPS are enumerated in the DEA_WPS_config.yaml file.

The environment variable DATACUBE_WPS_NUM_WORKERS sets the number of workers (defaults to 4).

1. Generate a specific terria catalog for wps terria testing http://terria-catalog-tool.dev.dea.ga.gov.au/wps
   • Enter the wps service url or leave default
   • Click Create Catalog button
   • verify the services listed in json format is correct
   • change file name if required or leave default
   • Click download catalog button to get a copy of the generated catalog
2. Go to http://terria-cube.terria.io/#clean, Add data
3. Select tab my data
4. Add local data and select the downloaded file

This part is flow-on from Workflow testing

1. Open DevToolsUI and go to network tab
2. Under Data Catalogue add the wps service needed for testing
3. Complete the Terria form and click Run Analysis button
4. The network will start to run
5. Click on Name = ?service=WPS&request=Execute and open Headers tab
6. The following are used for testing with API tool
   • xml under Request Payload
   • Request URL under General

1. Go to http://www.apirequest.io/
2. URL = request URL from Collect payload point 6
3. Request body = xml from Collect payload point 6