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        "author": "Florent Messa",
        "author_email": "florent.messa@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Utilities"
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        "description": "django-data-exporter\n====================\n\ndjango-data-exporter is a simple Django application to export asynchronously\nyour data from your models.\n\nIt's based on Celery_ (>= 2.3) to use `Chords <http://celery.github.com/celery/userguide/tasksets.html#chords>`_ and tablib_ to export your data in multiple formats.\n\nInstallation\n------------\n\n1. Either check out the package from GitHub_ or it pull from a release via PyPI ::\n\n       pip install django-data-exporter\n\n2. Configure your Django project to use `djcelery <http://celery.readthedocs.org/en/latest/django/first-steps-with-django.html>`_\n\n3. Add 'data_exporter' to your ``INSTALLED_APPS`` ::\n\n       INSTALLED_APPS = (\n           'data_exporter',\n       )\n\nUtilisation\n-----------\n\ndjango-data-exporter uses channels to discover your exports and to transfer them\nto celery. So let's say you have the following model in a ``polls`` application ::\n\n    # polls/models.py\n    from django.db import models\n\n\n    class Poll(models.Model):\n        question = models.CharField(max_length=200)\n        pub_date = models.DateTimeField('date published')\n\n        def __unicode__(self):\n            return self.question\n\n\nNow, you want to define your first exporter right? Create a ``exports.py`` file\nin your ``polls`` application and extend ``Export`` to build your own Exporter ::\n\n    # polls/exports.py\n    from data_exporter.base import Export\n\n    from polls.models import Poll\n\n\n    class PollExport(Export):\n        filename = 'poll'\n        columns = ('id', 'question')\n        headers = ('id', 'question')\n        directory = 'polls'\n\n        def get_query(self, offset=None, limit=None):\n            qs = Poll.objects.all()\n\n            if not offset is None and not limit is None:\n                return qs[offset:limit]\n\n            elif limit:\n                return qs[:limit]\n\n            elif offset:\n                return qs[offset:]\n\n            return qs\n\n        def get_count(self):\n            return Poll.objects.count()\n\n\nFinal step is to register this exporter in ``DATA_EXPORTER_CHANNELS`` in your\nDjango settings ::\n\n    DATA_EXPORTER_CHANNELS = {\n        'polls': 'polls.exports.PollExport'\n    }\n\n\nYou can now use the celery tasks provided by django-data-exporter as so ::\n\n    from data_exporter.tasks import builder\n    builder.delay('polls', 'csv')\n\nFirst parameter is the name of your channel and second parameter is the format\nwanted.\n\nAs said before, we use the beautiful tablib_ library to export your data,\nso as you may understood we support all formats provided by this library.\n\nConfiguration\n-------------\n\n``DATA_EXPORTER_CHANNELS``\n..........................\n\nAll your registered channels.\n\n``DATA_EXPORTER_DIRECTORY``\n...........................\n\nThe directory used to export your data.\n\n.. _Celery: http://celeryproject.org/\n.. _GitHub: https://github.com/thoas/django-data-exporter\n.. _tablib: http://docs.python-tablib.org/en/latest/index.html",
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