semvec/pypi-packages huggingface dataset:
openorg-timeseries 0.1.1
An implementation of the OpenOrg time-series API
License: BSD
Keywords: linked data,REST,University of Oxford,time-series,open data,metering

Time-series API implementation in Django
========================================

This is an implementation of the OpenOrg `time-series API specification
<http://openorg.ecs.soton.ac.uk/wiki/Metering>`_ as a Django application.


Features
--------

* Stores data in a compact binary format for quick retrieval
* Archives data in CSV format to negate format-based lock-in
* Time-zone aware
* Customisable aggregation (e.g. for daily and weekly averages, minima and maxima)
* Implements an API used by other time-series implementations
* Allows creation, modification and updating of time-series from a RESTful web service
* Has a fine-grained permissions model for administering time-series


Features yet to be implemented
------------------------------

* Administration interface is still somewhat human-unfriendly
* Customisable alerts for when series haven't been updated for some period of time
* Gauge and counter-based series (currently only period-based series)
* Virtual time-series (i.e. time-series which are some function of other time-series)
 

Architecture
------------


This project comprises a Django application that you can include in an existing
Django project by adding ``'openorg_timeseries'`` to your ``INSTALLED_APPS``
variable in your Django settings file.

``openorg_timeseries.longliving`` contains a ``threading.Thread`` which mediates access to the underlying data, and which prevents ...

Demonstration application
-------------------------

This project comes with a demonstration web service which you can use to quickly evaluate its usefulness.

Running
~~~~~~~

First, install the necessary dependencies using pip:

    $ pip install -r requirements.txt

Next, start the demonstration server using the following:

    $ django-admin.py rundemo --settings=openorg_timeseries.demo.settings --pythonpath=.

Give it a few seconds, after which you can point a web browser at `http://localhost:8000/ <http://localhost:8000/` to see it in action.


Details
~~~~~~~

The demo site performs the following steps on start-up:

#. Creates a ``demo-data`` directory in the current directory to store data used by the demo
#. Runs the ``syncdb`` Django management command to create a ``sqlite3`` database in the ``demo-data`` directory
#. Starts a long-living process which manages the data storage and retrieval
#. Creates a new time-series and loads in some example data
#. Runs the ``runserver`` management command (without the auto-reloader) to start the Django development server
sphinxcontrib.infrae 1.0
Add-ons to sphinx to document Zope event and interfaces (and buildout configuration).
License: BSD
Keywords: sphinx color buildout zope interface

====================
sphinxcontrib.infrae
====================

Infrae extension for Sphinx. This add:

- Color scheme for Buildout, because the Ini scheme doesn't work for
  multiple line option values.

  It defines the code type ``buildout`` for the directive ``code-block``.

- An directive ``autointerface`` to document Zope interfaces.

  Example: ``autointerface:: module.name.to.your.interface``.

  This create extra documentation if ``zope.schema`` fields are
  encountered on the interface.

- An directive ``autoevent`` to document Zope events.

  Example: ``autoevent:: module.name.to.your.event``.


Changes
=======

1.0 (30/04/2012)
----------------

- Initial release
airy 0.1.3
Web Application Framework
License: BSD
Keywords: web development websockets

==============================
Airy Web Application Framework
==============================

Airy is a new Web application development framework.

Contrast to most currently available frameworks, Airy
doesn't use the standard notion of HTTP requests and pages.

Instead, it makes use of WebSockets (via Socket.io) and
provides a set of tools to let you focus on the interface,
not content delivery.

Currently Airy supports MongoDB only. We will support other
NoSQL databases, but we have no plans for supporting SQL.


Requirements
============

Airy will install most required modules itself when you create a new
project, so all you need is:

* Python 2.6+
* MongoDB


Installation
============

    pip install airy

This will install Airy itself and the ``airy-admin.py`` script.


Usage
=====

Once you have it installed, you should be able to use ``airy-admin.py``

To create a new project, open a terminal and do::

    airy-admin.py startproject project_name
    cd project_name/
    python manage.py update_ve
    python manage.py runserver

You should have it running locally on port 8000. Open your browser
and navigate to http://localhost:8000

Note: if it complains about a "Connection Error" it means you have
no MongoDB running, or it's dead.


About
=====

Airy is created by Leto, a startup agency based in London, UK.
Check out Leto website for help and support: http://letolab.com