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        "author": "John Bjorn Nelson",
        "author_email": "jbn@abreka.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "idgraph\n=======\n\n.. image:: https://img.shields.io/pypi/v/idgraph.svg\n        :target: https://pypi.python.org/pypi/idgraph\n\n.. image:: https://travis-ci.org/jbn/idgraph.svg?branch=master\n        :target: https://travis-ci.org/jbn/idgraph\n\n\nProvides IPython cell magic for `dgraph <https://dgraph.io/>`__ remote\ninteraction.\n\nInstallation\n------------\n\n.. code:: bash\n\n    pip install idgraph\n\nWhy is this?\n------------\n\nWhile `dgraph <https://dgraph.io>`__ provides several useful interfaces,\nI spend most of my time learning, exploring, and developing in\n`Jupyter <https://jupyter.org/>`__. Executable documentation is\nfantastic! This package abstractly provides cell magic for dgraph query,\nmutation, and alteration execution. You could do the same with ``curl``\nor ``requests``. But, the sensible defaults help make things less\nverbose and tedious. (It's inspired by my experience with\n`itikz <https://github.com/jbn/itikz>`__ which proved really\nbeneficial.)\n\nUsage\n-----\n\nThe easiest way to understand how this works is by following (and cloning)\nthe `tutorial notebook <https://github.com/jbn/idgraph/blob/master/tutorial.ipynb>`__.\nIt's a projection dgraph's\n`Tour of Dgraph: A Bigger Dataset <https://tour.dgraph.io/moredata/1/>`__.\n\nCheat Sheet\n~~~~~~~~~~~\n\nLoad the extension with,\n\n.. code::\n\n    %load_ext idgraph\n\nThen,\n\n-  By default, ``%%dgraph`` assumes a query.\n\n   -  ``%%dgraph --alter`` does an alteration\n   -  ``%%dgraph --mutate`` does a mutation\n\n-  By default, ``%%dgraph`` assumes ``localhost:8080``\n\n   -  ``%%dgraph --addr=remote-host:8080`` overrides the default\n   -  The ``DGRAPH_ADDR`` environmental variable overrides default if\n      the ``--addr`` flag isn't set\n\n-  By default, only the value associated with the ``data`` key in the\n   response is shown.\n\n   -  ``%%dgraph --full-resp`` shows the full response including\n      metadata.\n   -  ``%%dgraph --jmespath=\"query\"`` allows you to extract part of the\n      response with a `jmespath <http://jmespath.org/>`__ query.\n\n-  By default, each cell execution binds the extracted response to\n   ``_dgraph`` and the full response to ``_dgraph_full``\n\n   -  ``%%dgraph --into=name`` will bind the extracted response to\n      ``name`` and the full response to ``{name}_full``\n\n-  By default, the cell contents are executed.\n\n   -  ``%%dgraph --skip`` skips execution.\n\n      -  Useful for mutations that are possibly dangerous on someone\n         else's computer.\n\n-  Jinja\n\n   -  technically you can use templates in a directory. you almost\n      certainly shouldnt though.\n\nCredits\n~~~~~~~\n\nThis package was created with\n`Cookiecutter <https://github.com/audreyr/cookiecutter>`__ and the\n`audreyr/cookiecutter-pypackage <https://github.com/audreyr/cookiecutter-pypackage>`__\nproject template.\n\n\n=======\nHistory\n=======\n\n0.0.1 (2019-10-20)\n------------------\n\n* Create initial version of idgraph.\n\n\n",
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        "name": "idgraph",
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