openorg-timeseries is an implementation of the OpenOrg time-series API specification as a Django application.
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 ...
This project comes with a demonstration web service which you can use to quickly evaluate its usefulness.
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.
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
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