elasticpy 0.9

elasticpy
===========
_"ElasticSearch for the rest of us"_

Python wrapper for the elasticsearch indexing utility.

Author: [Luke Campbell](http://lukecampbell.github.com/) [<luke.s.campbell@gmail.com>](mailto:luke.s.campbell@gmail.com)

About
-----
The goal of this module is to provide an intuitive interface between Python APIs and the ElasticSearch API. Connections are provided through the `requests` library so the connections are inherently thread safe and pooled.

Writing complex queries in JSON can be tedius and time consuming if you need to constantly reference the Query DSL guide, so we've wrapped most of the operations in classes with methods corresponding to the parameters of the operation. For example:

sorts = ElasticSort()
sorts.sort('name',order='asc')
sorts.sort('_score')
----
[{"name": {"order": "asc"}}, {"_score": {"order": "asc"}}]

Queries, Filters, Sorts, Maps and Facets are wrapped in convenience classes. Searching is done through the ElasticSearch class.

HOWTO
-----

To begin using elasticpy start by importing.

import elasticpy as ep

To interface with the elasticsearch server use the ElasticSearch object.

search = ep.ElasticSearch() # Defaults to localhost:9200

To form a query use the ElasticQuery wrapper objects.

query = ep.ElasticQuery().term('users':'luke')

# and then pass it to the search object

search.search_advanced('twitter','feeds',query)

> {u'_shards': {u'failed': 0, u'successful': 5, u'total': 5},
u'hits': {u'hits': [{u'_id': u'1',
u'_index': u'twitter',
u'_score': 0.30685282,
u'_source': {u'content': u'This is an example.', u'user': u'luke'},
u'_type': u'feeds'}],
u'max_score': 0.30685282,
u'total': 1},
u'timed_out': False,
u'took': 3}

USAGE
-----
* Queries - `ElasticQuery`

query = ElasticQuery()

* Term Searches

query.term(name='luke')

* Text Searches

query.text('message', 'this is a test')

* Text Phrases

query.text_phrase('message', 'this is a test')

* Fuzzy

query.fuzzy('name','luke',boost=1.0)

* Fuzzy Like This

query.fuzzy_like_this('luke',fields='_all')

* **Match All**

query.match_all()

* Wildcard

query.wildcard('name','lu*')

* Filters - `ElasticFilter`

filters = ElasticFilter()

* And

filters.and_filter(query)

* Bool

filters.bool_filter(must=query1, must_not=query2, should=query3)

* Geo

* Geo Distance

filters.geo_distance('location',{'lat':30,'lon':30}, '20km')

* Geo Bounding Box

filters.geo_bounding_box('location', {'lat':60, 'lon':60}, {'lat':30, 'lon':30})

* Match All

filters.match_all()

* Range

filters.numeric_range('price',8.0, 9.9)



Copying
-----------

**elasticpy** - Python Wrapper for ElasticSearch

Copyright 2012 UC Regents

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

[http://www.apache.org/licenses/LICENSE-2.0](http://www.apache.org/licenses/LICENSE-2.0)

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.