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Name: pysolr
Version: 3.3.3
Summary: Lightweight python wrapper for Apache Solr.
Home-page: http://github.com/toastdriven/pysolr/
Author: Daniel Lindsley
Author-email: daniel@toastdriven.com
License: BSD
Description: ======
pysolr
======
``pysolr`` is a lightweight Python wrapper for `Apache Solr`_. It provides an
interface that queries the server and returns results based on the query.
.. _`Apache Solr`: http://lucene.apache.org/solr/
Status
======
.. image:: https://secure.travis-ci.org/toastdriven/pysolr.png
:target: https://secure.travis-ci.org/toastdriven/pysolr
Features
========
* Basic operations such as selecting, updating & deleting.
* Index optimization.
* `"More Like This" <http://wiki.apache.org/solr/MoreLikeThis>`_ support (if set up in Solr).
* `Spelling correction <http://wiki.apache.org/solr/SpellCheckComponent>`_ (if set up in Solr).
* Timeout support.
Requirements
============
* Python 2.6 - 3.3
* Requests 2.0+
* **Optional** - ``simplejson``
Installation
============
``sudo python setup.py install`` or drop the ``pysolr.py`` file anywhere on your
PYTHONPATH.
Usage
=====
Basic usage looks like:
.. code-block:: python
# If on Python 2.X
from __future__ import print_function
import pysolr
# Setup a Solr instance. The timeout is optional.
solr = pysolr.Solr('http://localhost:8983/solr/', timeout=10)
# How you'd index data.
solr.add([
{
"id": "doc_1",
"title": "A test document",
},
{
"id": "doc_2",
"title": "The Banana: Tasty or Dangerous?",
},
])
# Later, searching is easy. In the simple case, just a plain Lucene-style
# query is fine.
results = solr.search('bananas')
# The ``Results`` object stores total results found, by default the top
# ten most relevant results and any additional data like
# facets/highlighting/spelling/etc.
print("Saw {0} result(s).".format(len(results)))
# Just loop over it to access the results.
for result in results:
print("The title is '{0}'.".format(result['title']))
# For a more advanced query, say involving highlighting, you can pass
# additional options to Solr.
results = solr.search('bananas', **{
'hl': 'true',
'hl.fragsize': 10,
})
# You can also perform More Like This searches, if your Solr is configured
# correctly.
similar = solr.more_like_this(q='id:doc_2', mltfl='text')
# Finally, you can delete either individual documents...
solr.delete(id='doc_1')
# ...or all documents.
solr.delete(q='*:*')
LICENSE
=======
``pysolr`` is licensed under the New BSD license.
Running Tests
=============
The ``run-tests.py`` script will automatically perform the steps below and is recommended for testing by
default unless you need more control.
Running a test Solr instance
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Downloading, configuring and running Solr 4 looks like this::
./start-solr-test-server.sh
Running the tests
~~~~~~~~~~~~~~~~~
The test suite requires the unittest2 library:
Python 2::
python -m unittest2 tests
Python 3::
python3 -m unittest tests
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
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