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        "author": "Adaptive Lab",
        "author_email": "hey@adaptivelab.com",
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        "description": "Datasift Preview Grabber\n========================\n\nA script to fetch datasift preview stats for a particular hash, over a particular date range.\n\nQuick Start\n-----------\n\nIf you have Python and virtualenv installed, the simplest way to get set up is to\nclone or download all the source files, cd into the directory and then run these\ncommands for first time:::\n\n    $ virtualenv .env\n    $ source .env/bin/activate\n    $ python setup.py install\n\nThat will install everything you need to run the script.\n\nRunning the Script\n------------------\n\n::\n\n    Usage: datasift_preview_grabber <start_date> <end_date> <stream_hash> <datasift-username> <datasift-apikey>\n\n    Where:\n        start_date and end_date are in the format yyyy-mm-dd\n\nThe script will split the date range you give it into individual days (a limitation\nof the Datasift Preview service as it stands).  Each day costs 20DPU currently so\ndon't go mental with your date range!\n\nFor each day, the script creates a preview job with Datasift.  The script waits for\neach job to finish, which can take a while.  When all the jobs are finished, the\nresults of them are simply printed to stdout.\n\nDeveloping the Script Further\n-----------------------------\n\nIf you want to enhance the script in some way, install the libraries from the\ntest_requirements.txt in the virtualenv you created earlier and make sure the\ntests all pass before adding something new:::\n\n    $ pip install -r test_requirements.txt\n    $ nosetests\n\nIf it's useful, send it back to us in the form of a pull request on Github!\n",
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        "keywords": null,
        "license": "GPLv3",
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        "name": "datasift_preview_grabber",
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        "summary": "Grabs Datasift preview stats and writes them out to stdout",
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