معرفی شرکت ها
cube-client-0.2.0
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
A Python client for Cube: Time Series Data Collection & Analysis
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cube-client-0.2.0 |
| نام | cube-client |
| نسخه کتابخانه | 0.2.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Thomas Sileo |
| ایمیل نویسنده | thomas.sileo@gmail.com |
| آدرس صفحه اصلی | https://github.com/tsileo/cube-client |
| آدرس اینترنتی | https://pypi.org/project/cube-client/ |
| مجوز | MIT |
===========
Cube-client
===========
A Python client for `Cube: Time Series Data Collection & Analysis <http://square.github.com/cube/>`_.
.. image:: https://pypip.in/v/cube-client/badge.png
:target: https://crate.io/packages/cube-client
.. image:: https://pypip.in/d/cube-client/badge.png
:target: https://crate.io/packages/cube-client
Features
========
You can post (`Collector <https://github.com/square/cube/wiki/Collector>`_) and request (`Evaluator <https://github.com/square/cube/wiki/Evaluator>`_) data to/from Cube.
- Post events
- Request events
- Request metrics
- Request known event types
Overview
========
.. code-block:: python
>>> from cube import Cube, ONE_HOUR
>>> 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=ONE_HOUR, 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'}]
Requirements
============
- `Requests <http://docs.python-requests.org/en/latest/>`_
Installation
============
::
$ pip install cube-client
Usage
=====
.. code-block:: python
from cube import Cube, ONE_HOUR
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=datetime.now().isoformat())
# Low level queries
# =================
# Request events data
# See Cube queries:
# https://github.com/square/cube/wiki/Queries#wiki-metric
cube.event('myevent(temp)')
# Request metrics
cube.metric('sum(myevent(temp))', step='36e5', start='2013-9-01'))
# or
cube.metric('sum(myevent(temp))', step=ONE_HOUR, start=datetime(2013, 9, 1))
# Request known event types
cube.types()
# High level queries
# ==================
from cube.expressions import EventExpression, Sum
temp = EventExpression('myevent', 'temp')
cube.metric(Sum(temp), step=ONE_HOUR, start='2013-10-1')
Event helper
------------
.. code-block:: python
from cube import Cube, Event, Sum
cube = Cube()
my_event = cube.get_event('myevent')
# or
my_event = Event(cube, 'myevent')
my_event.put({'temp': 10})
my_event.put({'temp': 20})
my_event.event()
# [{u'time': u'2012-10-01T13:04:04.453Z'}, {u'time': u'2012-10-01T13:04:39.725Z'}]
my_event.event('myevent(temp)')
temp = my_event.expression('temp').gt('temp', 15)
# => myevent(temp).gt(temp, 15)
my_event.metric(Sum(temp))
# => my_event.metric('sum(myevent(temp).gt(temp, 15))')
Metric resolutions shortcut
---------------------------
- **TEN_SECOND** for **1e4** - 10-second
- **ONE_MINUTE** for **6e4** - 1-minute
- **FIVE_MINUTE** for **3e5** - 5-minute
- **ONE_HOUR** for **36e5** - 1-hour
- **ONE_DAY** for **864e5** - 1-day
.. code-block:: python
from cube import ONE_HOUR, FIVE_MINUTE
Time utils
----------
.. code-block:: python
from cube import ONE_HOUR
from cube.time_utils import timeago
c.metric('sum(myevent(key))', step=ONE_HOUR, start=timeago('6h'))
Changelog
=========
0.2.0
-----
**Not released yet**
- Cleaned code (PEP8)
- Compatible with requests 2.0
- Added metric resolution shortcut
- Added a Event helper
- Merged some parts of `pypercube <https://github.com/sbuss/pypercube>`_, ``time_utils``, ``EventExpression`` and ``Filter``.
License (MIT)
=============
Copyright (c) 2013 Thomas Sileo and Steven Buss
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.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
نحوه نصب
نصب پکیج whl cube-client-0.2.0:
pip install cube-client-0.2.0.whl
نصب پکیج tar.gz cube-client-0.2.0:
pip install cube-client-0.2.0.tar.gz