krtc
This is a very small utility class for using Kerberos authentication with Python requests.
Installation
$ pip install lcls-krtc
$ conda install -c conda-forge krtc
Usage example
To use this when making calls to a web service:
import requests
from krtc import KerberosTicket
from urllib.parse import urlparse
ws_url = "https://ws.slac.stanford.edu/ws/getData.json"
krbheaders = KerberosTicket("HTTP@" + urlparse(ws_url).hostname).getAuthHeaders()
r = requests.get(ws_url, headers=krbheaders)
print(r.json())
1 maintainer
Metadata
1 maintainer
Release files for lcls-krtc 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lcls_krtc-0.3.1.tar.gz | 14.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lcls_krtc-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.5 kB
Release files / lcls_krtc-0.3.1.tar.gz
| Download URL | lcls_krtc-0.3.1.tar.gz |
|---|---|
| Size | 14.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.11
|
Release files / lcls_krtc-0.3.1-py3-none-any.whl
| Download URL | lcls_krtc-0.3.1-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.11
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