redistimeseries-py

Deprecation notice

As of redis-py 4.0.0 this library is deprecated. It's features have been merged into redis-py. Please either install it from pypy or the repo.

redistimeseries-py is a package that gives developers easy access to RedisTimeSeries module. The package extends redis-py's interface with RedisTimeSeries's API.

Installation

$ pip install redistimeseries

Development

1. Create a virtualenv to manage your python dependencies, and ensure it's active. virtualenv -v venv
2. Install pypoetry to manage your dependencies. pip install poetry
3. Install dependencies. poetry install

tox runs all tests as its default target. Running tox by itself will run unit tests. Ensure you have a running redis, with the module loaded.

API

The complete documentation of RedisTimeSeries's commands can be found at RedisTimeSeries's website.

Usage example

# Simple example
from redistimeseries.client import Client
rts = Client()
rts.create('test', labels={'Time':'Series'})
rts.add('test', 1, 1.12)
rts.add('test', 2, 1.12)
rts.get('test')
rts.incrby('test',1)
rts.range('test', 0, -1)
rts.range('test', 0, -1, aggregation_type='avg', bucket_size_msec=10)
rts.range('test', 0, -1, aggregation_type='sum', bucket_size_msec=10)
rts.info('test').__dict__

# Example with rules
rts.create('source', retention_msecs=40)
rts.create('sumRule')
rts.create('avgRule')
rts.createrule('source', 'sumRule', 'sum', 20)
rts.createrule('source', 'avgRule', 'avg', 15)
rts.add('source', '*', 1)
rts.add('source', '*', 2)
rts.add('source', '*', 3)
rts.get('sumRule')
rts.get('avgRule')
rts.info('sumRule').__dict__

Further notes on back-filling time series

Since RedisTimeSeries 1.4 we've added the ability to back-fill time series, with different duplicate policies.

The default behavior is to block updates to the same timestamp, and you can control it via the duplicate_policy argument. You can check in detail the duplicate policy documentation.

Bellow you can find an example of the LAST duplicate policy, in which we override duplicate timestamps with the latest value:

from redistimeseries.client import Client
rts = Client()
rts.create('last-upsert', labels={'Time':'Series'}, duplicate_policy='last')
rts.add('last-upsert', 1, 10.0)
rts.add('last-upsert', 1, 5.0)
# should output [(1, 5.0)]
print(rts.range('last-upsert', 0, -1))

License

BSD 3-Clause