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Metadata-Version: 1.1
Name: pysolr
Version: 3.2.0
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** - ``lxml``
        * **Optional** - ``simplejson``
        * **Optional** - ``cssselect`` for Tomcat error support
        
        
        Installation
        ============
        
        ``sudo python setup.py install`` or drop the ``pysolr.py`` file anywhere on your
        PYTHONPATH.
        
        
        Usage
        =====
        
        Basic usage looks like::
        
            # 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?",
                },
            ])
        
            # You can optimize the index when it gets fragmented, for better speed.
            solr.optimize()
        
            # 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
        =============
        
        Downloading, configuring and running Solr looks like this::
        
            ./start-test-solr.sh
        
        Running the tests::
        
            python -m unittest2 tests
            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