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https://github.com/Chaffelson/nipyapi

A convenient Python wrapper for Apache NiFi
https://github.com/Chaffelson/nipyapi

api-wrapper automation dataflow nifi python

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A convenient Python wrapper for Apache NiFi

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README

        

==============
|nipy| NiPyApi
==============

.. |nipy| image:: https://image.ibb.co/f0FRs0/nipy.png
:height: 28px

Nifi-Python-Api: A rich Apache NiFi Python Client SDK

.. image:: https://img.shields.io/pypi/v/nipyapi.svg
:target: https://pypi.python.org/pypi/nipyapi
:alt: Release Status

.. image:: https://readthedocs.org/projects/nipyapi/badge/?version=latest
:target: https://nipyapi.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status

.. image:: https://pyup.io/repos/github/Chaffelson/nipyapi/shield.svg
:target: https://pyup.io/repos/github/Chaffelson/nipyapi/
:alt: Python Updates

.. image:: https://coveralls.io/repos/github/Chaffelson/nipyapi/badge.svg?branch=main
:target: https://coveralls.io/github/Chaffelson/nipyapi?branch=main&service=github
:alt: test coverage

.. image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg
:target: https://opensource.org/licenses/Apache-2.0
:alt: License

Features
--------

**Three layers of Python support for working with Apache NiFi:**
- High-level Demos and example scripts
- Mid-level Client SDK for typical complex tasks
- Low-level Client SDKs for the full API implementation of NiFi and selected sub-projects

**Functionality Highlights:**
- Detailed documentation of the full SDK at all levels
- CRUD wrappers for common task areas like Processor Groups, Processors, Templates, Registry Clients, Registry Buckets, Registry Flows, etc.
- Convenience functions for inventory tasks, such as recursively retrieving the entire canvas, or a flat list of all Process Groups
- Support for scheduling and purging flows, controller services, and connections
- Support for fetching and updating Variable Registries
- Support for import/export of Versioned Flows from NiFi-Registry
- Docker Compose configurations for testing and deployment
- A scripted deployment of an interactive environment, and a secured configuration, for testing and demonstration purposes

Please see the `issue `_ register for more information on current development.

Quick Start
-----------

| There are several scripts to produce demo environments in *nipyapi.demo.**
| The mid-level functionality is in *nipyapi.canvas / nipyapi.security / nipyapi.templates / nipyapi.versioning*
| You can access the entire API using the low-level SDKs in *nipyapi.nifi / nipyapi.registry*

The easiest way to install NiPyApi is with pip::

# in bash
pip install nipyapi

You can set the config for your endpoints in the central config file::

# in python
import nipyapi
nipyapi.config.nifi_config.host = 'http://localhost:8080/nifi-api'
nipyapi.config.registry_config.host = 'http://localhost:18080/nifi-registry-api'

Then import a module and execute tasks::

nipyapi.canvas.get_root_pg_id()
>'4d5dcf9a-015e-1000-097e-e505ed0f7fd2'

You can use the Docker demos to create a secured interactive console showing many features::

from nipyapi.demo.secured_console import *
from nipyapi.demo.console import *

You can also explore the scripts to get ideas for how NiPyAPi can be used to automate your environment.

Please check out the `Contribution Guide `_ if you are interested in contributing to the feature set.

Background and Documentation
----------------------------

| For more information on Apache NiFi, please visit `https://nifi.apache.org `_
| For Documentation on this package please visit `https://nipyapi.readthedocs.io. `_

NiFi Version Support
--------------------

| Currently we are testing against NiFi versions 1.1.2 - 1.23.2, and NiFi-Registry versions 0.1.0 - 1.23.2.
| If you find a version compatibility problem please raise an `issue `_

Python Support
--------------

| Python 2.7 or 3.7-12 supported, though other versions may work.
| We will shortly stop supporting Python2.
| OSX M1 chips have various issues with Requests and Certificates.

| Tested on AL2023, developed on OSX 14.2 - Windows testing not attempted.
| Outside of the standard Python modules, we make use of lxml, DeepDiff, ruamel.yaml and xmltodict in processing, and Docker for demo/tests.