Python Based Workflow to Interact with K.LAB Semantic Web, using Apache Nifi
Project description
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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file klab_nifi_py-0.0.2.tar.gz.
File metadata
- Download URL: klab_nifi_py-0.0.2.tar.gz
- Upload date:
- Size: 6.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9600aa451af7625abe26ebfac8f7e04e64a14d666b6aab00549cc0b01fc6d220
|
|
| MD5 |
331e6ace6eb04cf279367313e1cc8a4b
|
|
| BLAKE2b-256 |
a70ac248c83e3097e231b56e4a3cc25bf0d6134e12b534ed588544e08854092d
|
File details
Details for the file klab_nifi_py-0.0.2-py3-none-any.whl.
File metadata
- Download URL: klab_nifi_py-0.0.2-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
29ceb3df45c92d7dc8668b6d77d6e2349773fd31b4be2e795e393bd174463e75
|
|
| MD5 |
752486ef07f44882d9aa7d40e1e98e94
|
|
| BLAKE2b-256 |
aee71747b34d0c12d547fbfdc0a0a73a29d1cf0dc6f1a9f3848a80bc39590c55
|
