Py-GeoSearch

Introduction

Py-GeoSearch allows you to perform geo-spacial search using Redis as the only in-memory data store. And this libary works with keys associated with geo- locations, with which you can add / update / remove keys from the geo-space, and efficiently query for keys.

Paired with other Redis data or relational database, Py-GeoSearch can assist you implement advanced geo-spacial search algorithms.

System Requirements

1. Redis http://redis.io/download
2. python 2.7.x
3. python development headers (sudo apt-get install python-dev)

Installation

pip install pygeosearch

or

python setup.py install

Tests

Run unit tests with:

python setup.py test

Example

import pygeosearch

client = pygeosearch.GeoSearch()

lat0 = 42.6
lon0 = -5.7
client.put(lat0, lon0, 'key1')

lat1 = 42.61  # Close enough
lon1 = -5.72
client.put(lat1, lon1, 'key1')
client.put(lat1, lon1, 'key2')
client.put(lat1, lon1, 'key3')

lat2 = 45.6  # Far from (lat0, lon0) and (lat1, lon1)
lon2 = -15.7
client.put(lat2, lon2, 'key3')  # updates 'key3' location.
client.put(lat2, lon2, 'key4')

keys = client.search_in_distance(lat0, lon0, 10000)  #10km
print keys
# You will get 'key1' and 'key2'

client.rem('key2')  # Removes 'key2'
keys = client.search_in_distance(lat0, lon0, 10000)  #10km
print keys
# You will get 'key1'