Taxon is a tagged data store with persistence to a Redis backend. It allows you to organize and query Redis data sets with tags.
- Fully queryable. Supports expressions using
And
,Or
, andNot
operations as well as direct tag lookup. - Persistent. Data is stored in Redis.
- Integrated. Taxon wraps
Redis
objects, and proxies Redis commands to Taxon through it.
First install the taxon package with pip:
$ pip install -U redis-taxon
Then you can instantiate Taxon stores in your code that wrap Redis
objects from redis-py.
import redis
import taxon
t = taxon.Taxon(redis.Redis())
To tag data, use the tag
method on a taxon.Taxon
object.
t.tag('feature', ['issue-312', 'issue-199', 'issue-321'])
t.tag('experimental', ['issue-199'])
To get the items associated with the tag, you can provide the Store.query
method with the name of the tag. The return value is a tuple of the key in which the result is stored, and the set of items in the result.
key, items = t.query('feature')
Taxon allows the dataset to be queried with arbitrary expressions and supports And
, Or
, and Not
operations. The query syntax is a small DSL implemented directly in Python.
from taxon import Taxon
from taxon.query import And, Or, Not
# get issue tracker items with no action required
t = Taxon(my_redis_object)
_, items = t.query(Or('invalid', 'closed', 'wontfix'))
Query expressions can also be arbitrarily complex.
# get issue tracker items marked feature or bugfix, but not experimental
_, items = t.query(And(Or('feature', 'bugfix'), Not('experimental')))
There is an alternate query syntax available using the Tag
member from taxon.query
which uses operators instead of classes. The operators are &
for And
, |
for Or
, and ~
for Not
. The above query in operator syntax looks like this:
from taxon.query import Tag
_, items = t.query((Tag('feature') | Tag('bugfix')) & ~Tag('experimental'))
Copyright (c) 2012 Justin Poliey <justin@getglue.com>
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