A Python library to use GeoGig.

This library is designed to provide access to all GeoGig functionality, so it can be used to script tasks or as the base library for a GeoGig client.

To install, use pip or easy_install:

$ pip install geogig-py

or

$ easy_install geogig-py

For developers wanting to improve or modify geogig-py, you should clone the GitHub repo and then install the library in a virtual environment, following these steps

$ git clone git://github.com/boundlessgeo/geogig-py.git
$ cd geogig-py
$ python setup.py develop (virtualenv of your choice)

GeoGig is not included with geogig-py, and it you have to install it separately

Usage is described here.

You can find here some examples on how to use geogig-py for basic and more complex scripting tasks.

The repo object delegates most of its work to a connector, which communicates with a GeoGig instance. Currently there are two connectors available:

• A CLI-based connector, which uses the console to call the GeoGig command-line interface and parses its output. It assumes that GeoGig is installed in your system and available in your current PATH. Basically, if you open a console, type geogig and you get the GeoGig help, you are ready to use a geogig-py repository using the CLI connector. This is far from efficient, as it has to call GeoGig (and thus, start a JVM) each time an operation is performed.
• A Py4J-based connector, which communicates with a GeoGig gateway server. To start the server, you have to run geogig-gateway on a console. The server is part of a standar GeoGig distribution.

By default, a Repository object uses a Py4J-based connector if no connector is passed.

To run unit tests, just run the test.py module in src/test. Most of the tests are integration tests, but test data is included and the only requisite is to have GeoGig installed and correctly configured. The geogig-gateway must be running