Installation

Install from Conda

Warning

TODO: Prepare Conda package.

Install from GitHub

Check out code from the owl GitHub repo and start the installation:

$ git clone https://github.com/climateintelligence/owl.git
$ cd owl

Create Conda environment named owl:

$ conda env create -f environment.yml
$ source activate owl

Install owl app:

$ pip install -e .
OR
make install

For development you can use this command:

$ pip install -e .[dev]
OR
$ make develop

Start owl PyWPS service

After successful installation you can start the service using the owl command-line.

$ owl --help # show help
$ owl start  # start service with default configuration

OR

$ owl start --daemon # start service as daemon
loading configuration
forked process id: 42

The deployed WPS service is by default available on:

http://localhost:5000/wps?service=WPS&version=1.0.0&request=GetCapabilities.

Note

Remember the process ID (PID) so you can stop the service with kill PID.

You can find which process uses a given port using the following command (here for port 5000):

$ netstat -nlp | grep :5000

Check the log files for errors:

$ tail -f  pywps.log

… or do it the lazy way

You can also use the Makefile to start and stop the service:

$ make start
$ make status
$ tail -f pywps.log
$ make stop

Run owl as Docker container

You can also run owl as a Docker container.

Warning

TODO: Describe Docker container support.

Use Ansible to deploy owl on your System

Use the Ansible playbook for PyWPS to deploy owl on your system.