openorg-timeseries 0.1.1

openorg-timeseries is an implementation of the OpenOrg time-series API specification as a Django application.

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/ to see it in action.

Details

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

1. Creates a demo-data directory in the current directory to store data used by the demo
2. Runs the syncdb Django management command to create a sqlite3 database in the demo-data directory
3. Starts a long-living process which manages the data storage and retrieval
4. Creates a new time-series and loads in some example data
5. Runs the runserver management command (without the auto-reloader) to start the Django development server


Product's homepage

Here are some key features of "openorg-timeseries":

· 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

Requirements:

· Python