solrpy is a Python client for Solr, an enterprise search server built on top of Lucene. solrpy allows you to add documents to a Solr instance, and then to perform queries and gather search results from Solr using Python.
Here's the basic idea:
import solr
# create a connection to a solr server
s = solr.SolrConnection('http://example.org:8083/solr')
# add a document to the index
doc = {
"id": 1,
"title": "Lucene in Action",
"author": ["Erik Hatcher", "Otis Gospodnetić"]
}
s.add(doc, commit=True)
# do a search
response = s.query('title:lucene')
for hit in response.results:
print hit['title']
Optional parameters for query, faceting, highlighting and more like this can be passed in as Python parameters to the query method. You just need to convert the dot notation (e.g. facet.field) to underscore notation (e.g. facet_field) so that they can be used as parameter names.
For example, let's say you wanted to get faceting information in your search result::
response = s.query('title:lucene', facet='true', facet_field='subject')
and if the parameter takes multiple values you just pass them in as a list::
response = s.query('title:lucene', facet='true', facet_field=['subject', 'publisher'])
To run the tests, you need to have a running solr instance. The easiest way to do this is:
curl -sSL https://raw.githubusercontent.com/moliware/travis-solr/master/travis-solr.sh | SOLR_VERSION=4.10.3 SOLR_CONFS=tests bash
Feel free to join our discussion list if you have ideas or suggestions.