Reputation: 31
I saw this topic about Kerberos authntication - https://github.com/mlflow/mlflow/issues/2678 . It was in 2020 . Our team trying to do authentication with kerberos by spnego. We did spnego on nginx server and it is fine - and get code 200 when we do curl to mlflow http uri . BUT we can't do it with mlflow environment variable .
The question is - Does mlflow has some feature to make authentication with spnego or not? Or it has just these environment variables for authentication and such methods :
Upvotes: 1
Views: 577
Reputation: 16572
I looked at the source code. No, the mlflow.utils.rest_utils.http_request
function doesn't support SPNEGO in any way – it can only send HTTP 'Basic' or 'Bearer' authorization headers.
However, it should be relatively easy to change it to generate a 'Negotiate' header using pyspnego, or even to use requests-gssapi given that it already uses Requests internally:
# For Linux:
import requests_gssapi
# For Windows:
#import requests_negotiate_sspi
def http_request(...):
...
if not auth_str:
# For Linux:
kwargs["auth"] = requests_gssapi.HTTPSPNEGOAuth()
# For Windows:
#kwargs["auth"] = requests_negotiate_sspi.HttpNegotiateAuth()
...
Upvotes: 0