Incursion is an MIT Licensed InfluxDB client, written in Python, for developers.
This existing InfluxDB python client is great. This client is built on that one but, many python developers have come to expect a progrmatic method for building queries on top of a raw unstructured query interface.
Incursion was bult to bring a new pattern to your InfluxDB Queries.
>>> q = InfluxQuery.for_series('page_views')
>>> q = q.columns(InfluxQuery.count(InfluxQuery.distinct('author_id')), 'author_id')
>>> q = q.group_by(InfluxQuery.time('1h'))
>>> q = q.where(category__matches=InfluxQuery.regex('/(10|11)/'))
>>> from, to = (datetime(2014, 10, 20), datetime(2014, 10, 21))
>>> q = q.where(time__gt=from, time__lt=to)
>>> q = q.fill(0)
>>> q = q.limit(None)
>>> resp = INDBClient().result_from_query(q)
>>> assert resp['page_views']
>>> print '%(14)s %(6)s %(2)s' % ('time', 'count', 'id')
>>> for row in resp['page_views']:
>>> print '%(-14)s %(-6)s %(-2)s' % (row.time, row.count, row.author_id)
time count id
1413908730239 10 1
1413908730239 8 2
...- Query Builder Pattern
- Lots of tests
- Safety first (all queries have a limit unless explicitly turned off)
- Ready for contributors (seriously, this should be a community project)
To install Incursion, simply:
$ pip install incursion- Continuous Query Manager (fanouts and downsampling)
- In-app joining fanout query results to source series results
- Fork the repository on GitHub to start making your changes to the master branch (or branch off of it).
- Write a test which shows that the bug was fixed or that the feature works as expected.
- Send a pull request. :) Make sure to add yourself to AUTHORS.