Metadata-Version: 1.1
Name: google-api-wrapper
Version: 2.0.0a1
Summary: Simple wrapper for Google APIs
Home-page: https://bitbucket.org/infolinks/google-api-wrapper
Author: Arik Kfir
Author-email: arik@infolinks.com
License: MIT
Description: Google APIs Wrapper
        ===================
        
        Overview
        --------
        
        This package provides a simple wrapper around Google APIs such as Cloud Compute, IAM, Deployment Manager, and other
        cloud-related APIs.
        
        It is used internally by Infolinks for provisioning and deployments, and has proven useful, so we've decided to
        share it! Note that this is still work in progress - our internal version is currently more comprehensive in its
        coverage of Google's APIs than this version; we will slowly transition more & more APIs from our internal version to
        this open version, so stay tuned!
        
        NOTE: Google APIs wrapper requires Python 3.5 and above.
        
        
        Installation
        ------------
        
        Installing this package from PyPy is simple, using ``pip``::
        
            pip install google-api-wrapper
        
        You can add the ``--upgrade`` or ``-U`` flag to upgrade it if you already have it installed.
        
        
        APIs
        ----
        
        The package's entry point to the APIs is the ``Cloud`` module. This module contains a single class - the ``Cloud``
        class, which you create an instance of using a Google Cloud JSON credentials file (usually generated from a service
        account) and one or more scopes (scopes are essentially the list of permissions you are requesting to use). By default,
        if you do not provide any scopes, the framework will ask for the ``https://www.googleapis.com/auth/cloud-platform``
        scope which means full permissions. Narrow it down to request more specific permissions instead.
        
        Once you have an instance of the ``Cloud`` class, it can provide you with more specific Google Cloud API wrappers:
        
        * Compute: this API contains Google Compute APIs such as creating disks & instances, modifying instance group members,
          etc.
        
        * IAM: this API is used for managing user and service accounts. Not implemented yet.
        
        * Deployment Manager: this API is used for managing deployments using the Google Deployment manager service. Not
          implemented yet.
        
        * More to come (Network, Pub/Sub, etc)
        
        
        Building
        --------
        
        Google APIs wrapper requires Python 3.5 and above. This is a hard requirement unfortunately. That aside, however,
        building it is fairly simple - you just use ``pyvenv`` and ``pip install -e``.
        
        We recommend reading `Packaging Guide <https://packaging.python.org/distributing/>`_ and the
        `Virtual Environments Guide <https://docs.python.org/3/library/venv.html>`_, but we've compiled a simple & quick how-to
        for your convenience:
        
        1. Clone the repository::
        
            git clone git@bitbucket.org:infolinks/google-api-wrapper.git
        
        2. Set up a virtual environment::
        
            pyvenv <virtual-env-directory>
        
        3. Activate the virtual environment (once for every shell/terminal you will be
           using to build or develop in it)::
        
            source <virtual-env-directory>/bin/activate
        
        4. Install required libraries::
        
            pip install wheel google-api-python-client twine
        
        5. Install the cloned copy of the source code using::
        
            pip install -e <git-checkout-of-google-api-wrapper>
        
        6. You can now modify the source code freely.
        
        7. When you want to test it, simple run your Python program which will import
           the ``googleapiwrapper`` package inside it.
        
        
        Releasing
        ---------
        
        To release a new version, first please ensure you are able to successfully build using the above section's instructions
        (including registration to PyPi and PyPi testing.)
        
        There are two methods to releasing:
        
        1. The ``deploy.sh`` script (recommended)
        2. Manual release
        
        Both methods achieve the same thing, but the 1st one is by far the easiest.
        
        
        Automated releasing
        ~~~~~~~~~~~~~~~~~~~
        
        The project comes with a built-in bash script (sorry Windows users!) which performs everything the manual method does.
        To use, simply invoke the script, like this::
        
           ./deploy.sh <version>
        
        The version should be a valid Python version - usually something like ``1.0.0b3``.
        
        
        Manual release
        ~~~~~~~~~~~~~~
        
        To perform a manual release, or if the ``deploy.sh`` script failed and left you in an inconsistent state, do the
        following:
        
        1. Update the version in ``setup.py``
        
        2. Commit & push the changes to Git::
        
            git add setup.py
            git commit -m "preparing version X.Y.Z"
            git push
            git tag -a "X.Y.Z" -m "Version X.Y.Z"
            git push origin "X.Y.Z"
        
        3. Build the package::
        
            rm -rf build dist
            python setup.py sdist bdist_wheel
        
        4. Now that we've created the distributions, we need to ensure we are able to upload our package to PyPi. To do this,
           ensure you have an account over at `PyPi <https://pypi.python.org>`_ as well as at
           `PyPi Testing <https://testpypi.python.org>`_. We will be using `Twine <https://pypi.python.org/pypi/twine>`_ to
           perform the upload.
        
        5. Ensure you've created the ``~/.pypirc`` file, which should look like this (don't forget to fill-in your credentials
           inside it!)::
        
            [distutils]
            index-servers=
                pypi
                pypitest
        
            [pypitest]
            repository = https://testpypi.python.org/pypi
            username = <username>
            password = <password>
        
            [pypi]
            repository = https://pypi.python.org/pypi
            username = <username>
            password = <password>
        
           Note that your own file might contain additional repositories - that's ok. You will only be using ``pypitest`` and
           ``pypi`` when working with this project though.
        
        6. The project needs to be registered with PyPi (to reserve the package name).
           **Note that this only needs to be done once in the project's lifetime, and has already been done for you!**
           You DO NOT need to run this. But for documentational purposes, here is the command to do it::
        
            twine register --repository pypitest dist/google_api_wrapper-<version>-py3-none-any.whl
            twine register --repository pypi dist/google_api_wrapper-<version>-py3-none-any.whl
        
        7. Now we can upload the package. We recommend first uploading it to the `PyPi Testing <https://testpypi.python.org>`_
           package index in order to verify it's working properly. Here's how::
        
            twine upload --repository pypitest dist/*
        
           Once you're satisified with the results, you can upload it to the public repository, like this::
        
            twine upload --repository pypi dist/*
        
        8. Restore the version in ``setup.py`` to a ``dev`` version (eg. ``1.1.0dev``)
        
Keywords: google,cloud,api,wrapper,compute,iam,deployment
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: System :: Software Distribution
Classifier: Topic :: System :: Systems Administration
