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        "author": "Jacob Kaplan-Moss",
        "author_email": "jacob@jaobian.org",
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            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Internet"
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        "description": "Python Timetric client\n======================\n\nA client for Timetric (http://timetric.com).\n\nRequirements (easy-installable, listed as prereqs in setup.py):\n\n    * httplib2\n    * python-dateutil\n    * simplejson\n\nOptionally, if you want to use OAuth authentication:\n\n    * oauth\n\nThis is *not* listed as a prereq, so it won't be installed by default.\n\nAuthentication setup\n--------------------\n\nYou'll provide authentication information to the ``TimetricClient`` in a config\ndict. Timetric supports two types of authentication: OAuth and API tokens. You\ncan choose a method using the ``'authtype'`` key to the config dict. The value\nof this key can be ``'oauth'`` or ``'apitoken'``; if not given it defaults to\n``'oauth'``.\n\nIf an API token is being used, there must be keys for:\n\n    * 'apitoken_key'\n    * 'apitoken_secret'\n\nIf OAuth is being used, there must also be keys for:\n\n    * 'consumer_key'\n    * 'consumer_secret'\n\nand if you have already done the necessary key exchange, then this can also\ncontain:\n\n    * 'access_key'\n    * 'access_token'\n\nOAuth setup\n-----------\n\nThe first time you use the OAuth protocol, you'll need to do some key exchange\nwith Timetric to set up your tokens.\n\n    >>> import timetric\n\n    # You need a config dict with at minimum your secret and key from Timetric\n    # (see the \"Applications\" pane of the settings page). In a real app you'll\n    # want to make this config persistant (the shelve module is a lightweight\n    # place to start) because the library will store OAuth authentication\n    # information back to this config.\n    >>> conf = {'authtype':'oauth', \n    ...         'consumer_key: 'XXX',\n    ...         'consumer_secret': 'XXX'}\n    >>> client = timetric.TimetricClient(conf)\n\n    # The first time through you'll need to authorize your key with Timetric\n    # by sending the user to an authorization request page.\n    >> token = client.get_request_token()\n    >>> import webbrowser\n    >>> webbrowser.open(client.get_authorize_url(token))\n\n    # Once the user has authorized at that page, you can continue.\n    >>> access_token = client.get_access_token(token)\n\n    # You can now re-authorize to use this token:\n    >>> conf.update({'oauth_key':access_token.key,\n    ...              'oauth_secret':access_token.secret})\n    >>> client = timetric.TimetricClient(conf)\n\nAPI token setup\n---------------\n\n    >>> import timetric\n\n    # Having got your config dict from somewhere:\n    >>> conf = {'authtype':'apitoken', \n    ...         'apitoken_key': 'XXX', \n    ..          'apitoken-secret': 'XXX'}\n\n    # you initialize the timetric client:\n    >>> client = timetric.TimetricClient(conf)\n\n\nUsage\n-----\n\n::\n    \n    # There's no API method to get a list of a particular\n    # user's series, so you need to somehow \"know\" the series ID.\n    >>> series = client.series('p-DpewL0TO-iBE4nMBCTsQ')\n    \n    # Get the latest value\n    >>> series.latest()\n    (1236707269.0, 2.0)\n    \n    # Iterate over the whole dataset\n    >>> for (timestamp, value) in series:\n    ...     print timestamp, value\n    1236463646.39 3.0 \n    1236486562.94 5.0 \n    1236493503.37 6.0\n    \n    # Update given a single value\n    >>> series.update(14)\n    \n    # Update given an iterable of (time, value) pairs\n    >>> import time\n    >>> data = [(time.time() - 100, 11), (time.time() + 100, 15)]\n    >>> series.update(data)\n    \n    # Update given a file of CSV data\n    >>> series.update(open('/tmp/data.csv'))\n    \n    # Clear all the data out of the series\n    >>> series.delete()",
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