mlflow-oauth-keycloak-auth 0.0.2.post1

Package for dealing with JWT tokens from Keycloak in a MLflow - oauth2-proxy setup.

mlflow-oauth-keycloak-auth

The purpose of this package is to enable the use of the MLflow "fluent" tracking API with upstream oauth2-proxy.

Getting started

pip install mlflow-oauth-keycloak-auth

If not already present, mlflow obviously should be installed.

pip install mlflow

Usage

import mlflow
from mlflow-oauth-keycloak-auth import authentication as mlflow_auth

mlflow_auth.init()
mlflow_auth.authenticate()

# Your mlflow code
# ...

# Optional: Check the validity of the access token and refresh if it is expired
mlflow_auth.validate_or_refresh()
# Alternatively: running authenticate() again has the same effect

This package expects a file named .env in the directory your script is executed, but can be customized by creating a custom config and passing it to the init() method.

# ...
mlflow_auth.init(env_file="/path/to/env_file")
# ...

Configuration

The configuration is done exclusively via environment variables. All of the following variables are required and can be found in the .env.example provided in the Github repository file.

Variable	Value	Purpose
KMTA_CLIENT_ID	Keycloak Client_ID	authentication
KMTA_CLIENT_SECRET	Keycloak Client_Secret	authentication
KMTA_USERNAME	Your Keycloak Username	authentication
KMTA_PASSWORD	Your Keycloak User Password	authentication
KMTA_TOKEN_URI	Your Keycloak User Password	authentication
KMTA_USERINFO_URI	Your Keycloak User Password	check token

The KMTA_TOKEN_URI and KMTA_USERINFO_URI can be obtained by opening the <keycloak_address>/realms/<realm>/.well-known/openid-configuration and copying the properties token_endpoint and userinfo_endpoint.