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        "author_email": "opendata@oucs.ox.ac.uk",
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            "Framework :: Django",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content"
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        "description": "Time-series API implementation in Django\n========================================\n\nThis is an implementation of the OpenOrg `time-series API specification\n<http://openorg.ecs.soton.ac.uk/wiki/Metering>`_ as a Django application.\n\n\nFeatures\n--------\n\n* Stores data in a compact binary format for quick retrieval\n* Archives data in CSV format to negate format-based lock-in\n* Time-zone aware\n* Customisable aggregation (e.g. for daily and weekly averages, minima and maxima)\n* Implements an API used by other time-series implementations\n* Allows creation, modification and updating of time-series from a RESTful web service\n* Has a fine-grained permissions model for administering time-series\n\n\nFeatures yet to be implemented\n------------------------------\n\n* Administration interface is still somewhat human-unfriendly\n* Customisable alerts for when series haven't been updated for some period of time\n* Gauge and counter-based series (currently only period-based series)\n* Virtual time-series (i.e. time-series which are some function of other time-series)\n \n\nArchitecture\n------------\n\n\nThis project comprises a Django application that you can include in an existing\nDjango project by adding ``'openorg_timeseries'`` to your ``INSTALLED_APPS``\nvariable in your Django settings file.\n\n``openorg_timeseries.longliving`` contains a ``threading.Thread`` which mediates access to the underlying data, and which prevents ...\n\nDemonstration application\n-------------------------\n\nThis project comes with a demonstration web service which you can use to quickly evaluate its usefulness.\n\nRunning\n~~~~~~~\n\nFirst, install the necessary dependencies using pip:\n\n    $ pip install -r requirements.txt\n\nNext, start the demonstration server using the following:\n\n    $ django-admin.py rundemo --settings=openorg_timeseries.demo.settings --pythonpath=.\n\nGive it a few seconds, after which you can point a web browser at `http://localhost:8000/ <http://localhost:8000/` to see it in action.\n\n\nDetails\n~~~~~~~\n\nThe demo site performs the following steps on start-up:\n\n#. Creates a ``demo-data`` directory in the current directory to store data used by the demo\n#. Runs the ``syncdb`` Django management command to create a ``sqlite3`` database in the ``demo-data`` directory\n#. Starts a long-living process which manages the data storage and retrieval\n#. Creates a new time-series and loads in some example data\n#. Runs the ``runserver`` management command (without the auto-reloader) to start the Django development server",
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        "keywords": "linked data,REST,University of Oxford,time-series,open data,metering",
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