PyWPS example service

This is a simple example service written using PyWPS. It has been tested with QGIS 1.8.

Installation

The app depends on PyWPS and several other libraries that are listed in requirements.txt. You can install them with pip:

$ pip install -r requirements.txt

For Debian based systems you will need to install GDAL with:

$ sudo apt-get install python-gdal

For Windows systems install you need to install Shapely and GDAL by using Python Wheels. If you have Shapely already installed you might have to uninstall it and installed as a Wheel for it to work:

Download the corresponding wheel for Shapely: http://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely

Download the corresponding wheel for GDAL: http://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal

$ pip install wheel

$ pip install Shapely?x.x.x?cpxx?none?win_xxx.whl

$ pip install GDAL?x.x.x?cpxx?none?win_xxx.whl

Running

Simply run the python file:

$ python demo.py

Docker

The docker folder contains 2 subfolders, each subfolder contains a differente pywps implementation. Folder flask has the default pywps-flask implementation using only Flask while folder nginx implements pywps using Nginx and Green unicorn as WSGI server.

Docker-flask

To build the image (inside the folder with the Dockerfile):

$ docker build -t pywps4-demo:latest .

And to run it:

$ docker run -p 5000:5000 pywps4-demo:latest

Pywps will be available in the following URL:

$ http://localhost:5000

Docker-nginx