{
    "info": {
        "author": "Daniel Poon",
        "author_email": "daniel.poon.wenjie@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5"
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        "description": "=======\ngwrappy\n=======\n\n\n.. image:: https://img.shields.io/pypi/v/gwrappy.svg\n    :target: https://pypi.python.org/pypi/gwrappy\n\n.. image:: https://readthedocs.org/projects/gwrappy/badge/?version=latest\n    :target: https://gwrappy.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n\nUser friendly wrapper for Google APIs.\n\n\nFeatures\n--------\n\n* Easily connect to the following Google APIs (more to come eventually)\n    * BigQuery\n    * Cloud Storage\n    * Drive\n    * Gmail\n    * Compute Engine\n\n.. code-block:: python\n\n    # BigQuery\n    from gwrappy.bigquery import BigqueryUtility\n    bq_obj = BigqueryUtility()\n    results = bq_obj.sync_query('my_project', 'SELECT * FROM [foo.bar]')\n\n    # Cloud Storage\n    from gwrappy.storage import GcsUtility\n    gcs_obj = GcsUtility()\n    gcs_obj.download_object('bucket_name', 'object_name', 'path/to/write')\n    gcs_obj.upload_object('bucket_name', 'object_name', 'path/to/read')\n\n    # Drive\n    from gwrappy.drive import DriveUtility\n    drive_obj = DriveUtility(json_credentials_path, client_id)\n    drive_obj.download_object('file_id', 'path/to/write')\n    drive_obj.upload_file('path/to/read')\n\n    # Gmail\n    from gwrappy.gmail import GmailUtility\n    gmail_obj = GmailUtility(json_credentials_path, client_id)\n    gmail_obj.send_email(sender='Daniel Poon', to=['recipient_1@xx.com', 'recipient_2@yy.com'], subject='Hello World!', message_text='My First Email')\n\n\nInstallation\n------------\n\n.. code-block:: bash\n\n    $ pip install gwrappy\n\n\n=======\nHistory\n=======\n\n0.4.3 (2016-12-16)\n------------------\n* Bugfix in gwrappy.drive.DriveUtility.upload_file()\n\n0.4.2 (2016-12-16)\n------------------\n* Bugfix in gwrappy.dataproc.DataprocUtility.delete_cluster()\n\n0.4.1 (2016-12-14)\n------------------\n* Breaking Changes:\n    * gwrappy.dataproc.DataprocUtility takes project_id in its constructor rather than a method parameter.\n* gwrappy.dataproc.DataprocUtility operation/job methods return Response objects when wait_finish=True\n* pandas dependency removed from requirements.txt as its functionality is limited to specific functions and largely unnecessary otherwise.\n\n0.4.0 (2016-11-21)\n------------------\n* Added gwrappy.dataproc for Google Dataproc\n* Minor Changes\n    * gwrappy.storage.GcsUtility.update_object() added\n    * Added ability to set object Acl on upload with gwrappy.storage.GcsUtility.upload_object()\n\n0.3.0 (2016-10-31)\n------------------\n* Python 3 compatibility\n    * Most API functions were already compatible, most changes were done for the utilities functions.\n* Minor Bugfixes/Changes\n    * BigqueryUtility().poll_resp_list() now doesn't break once an exception is encountered. The respective Error object is returned and job checking is uninterrupted.\n    * Fixed int columns being interpreted as float for pandas 0.19.0 when querying to dataframe.\n\n0.2.1 (2016-10-20)\n------------------\n* Minor Bugfixes:\n    * bigquery.utils.read_sql properly checks kwargs.\n    * BigqueryUtility queries with return_type='dataframe' uses inferred dtypes for integer columns to stop pandas from breaking if column contains NaN.\n\n0.2.0 (2016-09-27)\n------------------\n* Added gwrappy.compute for Google Compute Engine.\n* Minor Bugfixes:\n    * drive.DriveUtility.list_files(): Removed fields, added orderBy and filter_exp.\n    * bigquery.utils.JobResponse: time_taken in __repr__ for some job types fixed.\n\n0.1.6 (2016-09-08)\n------------------\n* Added more utilities\n    * utils.month_range: Chunk dates into months.\n    * utils.simple_mail: Send basic emails for alerts or testing. *Note*: For greater security and flexibility, do still use the gmail functionality within this package.\n    * utils.StringLogger: Simply wrapper for logging with a string handler and convenience functions for retrieving logs as a string.\n* Added dateutil as a dependency\n\n0.1.5 (2016-08-30)\n------------------\n* list methods now return a generator for memory efficiency\n* BigQuery:\n    * list_jobs takes 2 new args *projection* and *earliest_date*\n* Documentation updates\n\n0.1.4 (2016-08-29)\n------------------\n* gwrappy.errors no longer imports service specific error objects. To access JobError, import it from gwrappy.bigquery.errors\n* simple date range generator function added to gwrappy.utils\n\n0.1.3 (2016-08-23)\n------------------\n* BigQuery:\n    * JobResponse now only sets time_taken if data is available.\n        * Fixed bug that raised KeyError when wait_finish=False, since endTime was unavailable in the API response.\n    * poll_resp_list returns JobReponse objects. Also propagates 'description' attribute if available.\n\n0.1.2 (2016-08-19)\n------------------\n* Bug Fixes\n* Documentation updates\n\n0.1.1 (2016-08-16)\n------------------\n* Completed docstrings and amendments to documentation\n* Added list_to_html under gwrappy.gmail.utils\n* Added tabulate as a dependency\n\n0.1.0 (2016-08-15)\n------------------\n* New and improved version of https://github.com/danielpoonwj/gcloud_custom_utilities\n* First release on PyPI.",
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        "license": "Apache Software License 2.0",
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