semvec/pypi-packages huggingface dataset:
stdplusAwsHelpers 0.0.45
Helpers for boto3
License: MIT
Keywords: boto3

python-stdplus-awsHelpers: a set of utility functions for python boto3
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Overview
========

stdplus is just a collection of python functions I've found useful to
have on hand. The stdplus-awsHelpers collection is exactly what you'd
expect given its name: a collection of python functions for dealing
with AWS stuff.

WARNINGS
========

This library is incredibly immature. It WILL be changing considerably as
long as I'm using it, because I will be viewing the things it does (or
doesn't do), and the manner in which it does (or doesn't do) them as
impediments to my workflow.

With that said, I tend to write stdplus functions using the smallest
possible components I can, so those individual functions tend to
be fairly stable. I'll endeavor not to make backwards-incompatible
changes, because that will shoot *me* in the foot.

Installation
============

.. code-block::

    pip install stdplus-awsHelpers

Usage
=====

New Features
============
hadoop-ranger-audit 0.2
Generates a stand alone web based report for Hadoop Apache Ranger policies. Performs reverse lookups against Active Directory to match users with Ranger resources that have been provision with AD Groups.
License: MIT

hadoop_ranger_audit
===================

Generates a stand alone web based report for Hadoop Apache Ranger policies.
Performs reverse lookups against Active Directory to match users with Ranger resources that have been
provision with AD Groups.

Currently provides a report the following policies:
HDFS
HIVE
KNOX
YARN

Installation from GIT source:
-----------------------------

Clone the repo::

    $ git clone https://github.com/jackscodemonkey/hadoop_ranger_audit

Create a new virtual environment::

    $ virtualenv -p python3 hadoop_ranger_audit_env

Activate the new environment::

    $ source hadoop_ranger_audit_env/bin/activate

Your command prompt should now have the environment prefix showing::

   $ (hadoop_ranger_audit_env):

Quickly install hadoop_ranger_audit into your new environment via `setuptools`_
Change to the directory where you downloaded this package and run::

   $ (hadoop_ranger_audit_env)python setup.py install


Usage:
------
hadoop_ranger_audit.py::

 Switch                  | Description                       | Required
 ======================================================================
 --ranger_url            | Ranger API URL                    | Yes
 --ranger_user           | Ranger API Username               | Yes
 --ranger_password       | Ranger API Password               | Yes
 --ad_controller         | Active Directory Server Hostname  | Yes
 --ad_user               | Read Only AD user - basic account | Yes
 --ad_password           | AD user password                  | Yes
 --ad_search_base        | DN root to start search from      | Yes
 --output_file           | Output HTML file                  | Yes
 --cluster_name          | Name of cluster for the report    | Yes
 -h / --help             | Print command help                | No


Requirements
^^^^^^^^^^^^

.. include:: requirements.txt

Compatibility
-------------

hadoop_ranger_audit is written and tested in Python 3.6.

Licence
-------

Licensed under the MIT license.

Authors
-------

`hadoop_ranger_audit` was written by `Marcus Robb <marcus.robb@initworx.com>`_.


.. _`setuptools`: http://pypi.python.org/pypi/setuptools