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
Notoperations as well as direct tag lookup.
- Persistent. Data is stored in Redis.
- Integrated. Taxon wraps
Redisobjects, 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
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.
from taxon.query import Tag key, items = t.query(Tag('feature'))
Taxon allows the dataset to be queried with arbitrary expressions and supports
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
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 <firstname.lastname@example.org>
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