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    "info": {
        "author": "Billy Wildi",
        "author_email": "bwildi94@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "# unityrde\nunityrde (Unity raw data export) is a Python 3 package for pulling raw data from the Unity Analytics REST API. See the [Unity documentation](https://docs.unity3d.com/Manual/UnityAnalyticsRawDataExport.html) for more information on how this works.\n\n## Installation\n\n```python\npython -m pip install unityrde\n```\n\n## Quickstart guide\nFirstly, create a UnityDataImporter object and include your Unity project id and your API key:\n\n```python\nfrom unityrde import *\n\nupid = \"aa43ae0a-a7a7-4016-ae96-e253bb126aa8\"\nkey = \"166291ff148b2878375a8e54aebb1549\"\nudi = UnityDataImporter(upid, key)\n```\n\nTo pull data from the API you need to first either create a new data export, or use a data export that has been created previously. For the latter case, you need to get the export_id. The list_data_exports method can be used to identify previously created data exports:\n\n```python\n# Get a json of the metadata of all data exports\nexports = udi.list_data_exports()\n\n# get the id of the most recent export\nexport_id = exports[0]['id']\n```\n\nYou can then use the get_data_export method to get a json of the data from this export:\n\n```python\ndata = udi.get_data_export(export_id)\n```\n\nIf you need to create a new export, you can run create_export. Make sure when setting the parameters that you include a startDate, endDate and dataset. For help on parameters, see the [Unity documentation](https://docs.unity3d.com/Manual/UnityAnalyticsRawDataExport.html).\n\n```python\nparams = {\n  'startDate': '2019-09-01',\n  'endDate': '2019-09-30',\n  'dataset': 'appStart'\n}\n\nudi.create_export(params)\n```\n\nThis will create a new export_id, which is associated with the class through the export_id attribute. The export will usually take a minute or two to be created. You can check its status by looking at the export metadata:\n\n```python\nprint(udi.get_data_export(output='metadata')['status'])\n```\nNote that it was not necessary to specify the export_id this time. Once the status is completed, you can get a json of the data:\n\n```python\ndata = udi.get_data_export()\n```\n\nAlternatively, you can do all this in one step using the create_and_get_export method:\n\n```python\ndata = udi.create_and_get_export(params)\n```\n\n## pandas and longer exports\nFor convenience, there are a couple of methods in the package that allow you to output pandas dataframes. Firstly, any json data file you produce from the previous step can be converted using the convert_to_pandas function\n\n```python\ndf = convert_to_pandas(data)\n```\n\nSecondly, the make_long_df method can be used to export more than 31 days of data at once. It does this by creating multiple exports and appending them together into a single pandas DataFrame.\n\n```python\nparams['startDate'] = '2019-08-01'\nparams['endDate'] = '2019-10-14'\ndf = udi.make_long_df(params)\n```\n\n## Maintenance\n\nI made this package in a professional context. I am no longer able to test the functionality of the package, because I do not have access to a Unity Analytics account. I will fix obvious errors where I can, but if the Unity API changes in such a way that breaks this package, I will not be able to repair it.\n\n\n",
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