Metadata-Version: 2.0
Name: pyhaystack
Version: 0.92.5
Summary: Python Haystack Utility
Home-page: http://www.project-haystack.com/
Author: Christian Tremblay, Stuart Longland, @sudo-Whateverman, Igor
Author-email: christian.tremblay@servisys.com
License: UNKNOWN
Keywords: tags,hvac,project-haystack,building,automation,analytic
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: System :: Networking
Classifier: Topic :: Utilities
Requires-Dist: certifi
Requires-Dist: fysom
Requires-Dist: hszinc
Requires-Dist: iso8601
Requires-Dist: pandas
Requires-Dist: parsimonious
Requires-Dist: requests
Requires-Dist: semver
Requires-Dist: setuptools
Requires-Dist: signalslot
Requires-Dist: six

pyhaystack |build-status| |coverage| |docs| |Gitter| 
====================================================

What is this ?
--------------
Pyhaystack is a module that allow python programs to connect to a haystack server 
using semantic data model for buildings (project-haystack_).

Browse a campus, building, floor... find VAV boxes, AHU units, etc. Then extract history 
data from them and get the results ready for analysis using pandas or your own database implementation.

Which clients are implemented ?
-------------------------------
Actually, connection can be established with :

* Niagara4_ by Tridium
* NiagaraAX_ by Tridium
* Widesky_ by VRT_
* Skyspark_ by SkyFoundry (version 2 and 3+)

Connection to Niagara AX or Niagara 4 requires the nHaystack_ module by J2 Innovations to be installed
and properly configured on your Jace. Refer to documentation of nHaystack for details.

How do I install pyhaystack ?
-----------------------------
::

    pip install pyhaystack

Or you can also git clone the develop branch and use ::

    python setup.py install

.. note::
    Some users reported problems when installing pyhaystack using the Python version 
    provided by their OS (Mac OS users). We recommend to try the virtual environment
    approach when you are unsure about the python version our modules dependencies.

Using virtual env
------------------
You can find more information on how to use virtualenv_ but here is a short way of making it work.

::

    sudo pip install virtualenv
    mkdir your project folder
    cd project
    virtualenv venv
    source venv/bin/activate

.. note:: 
    Once you are in your virtual env DO NOT use sudo to pip install.
    (in fact, this is the part that made me think of permission issue as I read somewhere that we should never sudo pip install anything)

So now you are in your virtual env (it's in parenthesis in the console) and you

::

    pip install requests
    pip install hszinc
    pip install pyhaystack

(note that this time you won't see any weird message when trying to install pandas and you need xcode to perform the install....)
You are now able to ::

    import hszinc
    hszinc.MODE_ZINC
    from pyhaystack.client.skyspark import SkysparkHaystackSession    

What is project-haystack ?
--------------------------
As stated in the web site

  "`Project Haystack`_ is an open source initiative to streamline 
  working with data from the Internet of Things. We standardize 
  semantic data models and web services with the goal of making 
  it easier to unlock value from the vast quantity of data being 
  generated by the smart devices that permeate our homes, buildings, 
  factories, and cities. Applications include automation, control, 
  energy, HVAC, lighting, and other environmental systems."

  -- Project-Haystack

Actual implementation
--------------------------
Pyhaystack is robust and will be ready for asynchronous development.

We have chosen a state machine approach with observer pattern. See the docs for
more informations.

This implementation has been mostly supported by VRT_ and Servisys_. We are hoping 
that more people will join us in our effort to build a well working open-source software
that will open the door of building data analysis to Python users.

Dependency
--------------
Pyhaystack highly depends on hszinc_ which is a special parser for zinc encoded data. 
Zinc was created for project-haystack_ as a CSV replacement. 

For analysis, we also suggest using Pint_ to deal with units. It will bring a lot of possibilities
to pyhaystack (ex. unit conversion)


.. |build-status| image:: https://travis-ci.org/ChristianTremblay/pyhaystack.svg?branch=master
   :target: https://travis-ci.org/ChristianTremblay/pyhaystack
   :alt: Build status

.. |docs| image:: https://readthedocs.org/projects/pyhaystack/badge/?version=latest
   :target: http://pyhaystack.readthedocs.org/
   :alt: Documentation

.. |coverage| image:: https://coveralls.io/repos/ChristianTremblay/pyhaystack/badge.svg?branch=master&service=github
   :target: https://coveralls.io/github/ChristianTremblay/pyhaystack?branch=master
   :alt: Coverage

.. |Gitter| image:: https://badges.gitter.im/ChristianTremblay/pyhaystack.svg
	:target: https://gitter.im/ChristianTremblay/pyhaystack?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=body_badge
	:alt: Gitter

.. _Skyspark : https://www.skyfoundry.com/skyspark/

.. _NiagaraAX : https://www.tridium.com/en/products-services/niagaraax

.. _Niagara4 : https://www.tridium.com/en/products-services/niagara4

.. _VRT : http://www.vrt.com.au/

.. _Servisys : http://www.servisys.com

.. _Widesky : http://widesky.cloud/ 

.. _nHaystack : https://bitbucket.org/jasondbriggs/nhaystack

.. _project-haystack : http://www.project-haystack.org

.. _Project Haystack : http://www.project-haystack.org

.. _Pint : http://pint.readthedocs.io

.. _hszinc : https://github.com/vrtsystems/hszinc

.. _virtualenv : https://virtualenv.pypa.io/en/stable/


