A Python client for Cube: Time Series Data Collection & Analysis.
You can post (Collector) and request (Evaluator) data to/from Cube.
- Post events
- Request events
- Request metrics
- Request known event types
>>> from cube import Cube
>>> c = Cube()
>>>
>>> c.put("sample_data", {"myval": 10})
[{'data': {'myval': 10}, 'type': 'sample_data', 'time': '2012-10-01T13:04:04.453929'}]
>>> c.event("sample_data")
[{u'time': u'2012-10-01T13:04:04.453Z'}]
>>> c.put("sample_data", {"myval": 20})
[{'data': {'myval': 20}, 'type': 'sample_data', 'time': '2012-10-01T13:04:39.725676'}]
>>> c.event("sample_data")
[{u'time': u'2012-10-01T13:04:04.453Z'}, {u'time': u'2012-10-01T13:04:39.725Z'}]
>>> c.event("sample_data(myval)")
[{u'data': {u'myval': 10}, u'time': u'2012-10-01T13:04:04.453Z'}, {u'data': {u'myval': 20}, u'time': u'2012-10-01T13:04:39.725Z'}]
>>> c.metric("sum(sample_data)", step="36e5", start="2012-10-01")
[{u'value': 0, u'time': u'2012-10-01T00:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T01:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T02:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T03:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T04:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T05:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T06:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T07:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T08:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T09:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T10:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T11:00:00.000Z'}, {u'value': 0, u'time': u'2012-10-01T12:00:00.000Z'}, {u'value': 2, u'time': u'2012-10-01T13:00:00.000Z'}]
$ pip install cube-client
from cube import Cube
from datetime import datetime
cube = Cube()
# or
cube = Cube("localhost")
# Create an event
cube.put("myevent", {"temp": 30})
# or
cube.put("myevent", {"temp": 30}, time=datatime.now().isoformat())
# Request events data
# See Cube queries:
# https://github.com/square/cube/wiki/Queries#wiki-metric
cube.event("myevent(temp)")
# Request metrics
cube.metric(c.metric("sum(myevent)", step="36e5", start="2012-10-01"))
# Request known event types
cube.types()
Copyright (c) 2012 Thomas Sileo
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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