Warning: very experimental code. This is currently just a playground.

An attempt to implement a document search system using redis.

>>> import redissearch >>> s = redissearch.RedisSearch('testdb') >>> docid = s.add({ ... 'title': 'My first document', ... 'text': "This is a very simple document that we'd like to index", ... })) >>> print repr(docid) '1' >>> r = s.query(u'title', u'first').search(0, 10) >>> print list(r) ['1']

Add, update, delete documents.

Combine queries with AND, OR, NOT. Python syntax is using the &, | and -operators:

>>> q1 = s.query(u'title', u'first') >>> q2 = s.query(u'title', u'second') >>> qand = q1 & q2 >>> print list(qand.search(0, 10)) []

Infrastructure for automatically guessing field types, and storing a schema (though it always guesses "free text" currently).

Facet calculation (should be quite easy; use SORT with GET to pull in facets for each matching document).

Ranked results. Initially, calculate ranks at client side, but aim to calculate ranks on server side somehow.

More query operators.

Decent text procesing (currently just uses split()). Should normalise case, handle punctuation, and use stemming at the least.

Handle numeric ranges.