Metadata-Version: 2.4
Name: klab_nifi_py
Version: 0.0.2
Summary: Python Based Workflow to Interact with K.LAB Semantic Web, using Apache Nifi
Home-page: https://github.com/integratedmodelling/klab-nifi
Author: Arnab Moitra
Author-email: arnab.moitra@bc3research.org
Maintainer: Artificial Intelligence For Environment and Sustainability (ARIES) Team, Basque Centre for Climate Change (BC3)
Maintainer-email: support@integratedmodelling.org
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: shapely>=2.0.7
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: maintainer
Dynamic: maintainer-email
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

## Klab Nifi Observation Relay Workflow


This is a Python Workflow, which can be used to create an Observation Payload, and submit it to the Observation Relay Processor, possibly via the HTTP Listener Port, or via custom workflows incorportating this. 

Note that, Custom Nifi Processors can be generated using Python as well, or can be a Docker based Processor as well or maybe made using ExecuteScript Processor as well. 

If, the Listen HTTP Processor is used exclusively, and the Observation can be added using a Post Call with the Generated JSON Payload.
