Giter Site home page Giter Site logo

nipyapi's Introduction

nipy NiPyApi

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

Release Status Build Status Documentation Status Python Updates test coverage 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 - 1.10, and NiFi-Registry versions 0.1.0 - 0.5.0.
If you find a version compatibility problem please raise an issue

Python Requirements

Python 2.7 or 3.5-7 supported, though other versions may work. We will shortly stop supporting Python2
Tested on AL2 and OSX 10.14.x - Windows automated testing not attempted
Outside of the standard Python modules, we make use of lxml, DeepDiff and ruamel.yaml in processing, and Docker for demo/tests.

nipyapi's People

Contributors

chaffelson avatar pyup-bot avatar jrittenh avatar alopresto avatar mands avatar riduidel avatar pepov avatar exception13 avatar jyoti-arora1991 avatar rsaggino avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.