sortifal/MLOps
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Use HTTP Basic Auth for MLflow authentication

Browse Source 
Changed MLflow authentication to use HTTP Basic Auth by embedding
credentials in the tracking URI (https://user:pass@host).

This is the standard authentication method for MLflow when using
basic auth, rather than relying on environment variables alone.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Alexis Bruneteau 2025-10-01 19:53:02 +02:00
parent bc5d96981a
commit a4ddfb57be
1 changed files with 18 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

25
src/models/train.py
View File

@ -13,14 +13,25 @@ from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score
import pandas as pd import pandas as pd
# Configure MLflow # Configure MLflow with authentication
mlflow.set_tracking_uri(os.getenv("MLFLOW_TRACKING_URI", "https://mlflow.sortifal.dev")) tracking_uri = os.getenv("MLFLOW_TRACKING_URI", "https://mlflow.sortifal.dev")
username = os.getenv("MLFLOW_TRACKING_USERNAME")
password = os.getenv("MLFLOW_TRACKING_PASSWORD")
# Set MLflow credentials from environment variables # Build authenticated URI if credentials are provided
if os.getenv("MLFLOW_TRACKING_USERNAME") and os.getenv("MLFLOW_TRACKING_PASSWORD"): if username and password:
os.environ["MLFLOW_TRACKING_USERNAME"] = os.getenv("MLFLOW_TRACKING_USERNAME") # Extract protocol and host from URI
os.environ["MLFLOW_TRACKING_PASSWORD"] = os.getenv("MLFLOW_TRACKING_PASSWORD") if tracking_uri.startswith("https://"):
print("MLflow credentials configured from environment variables") auth_uri = f"https://{username}:{password}@{tracking_uri[8:]}"
elif tracking_uri.startswith("http://"):
auth_uri = f"http://{username}:{password}@{tracking_uri[7:]}"
else:
auth_uri = tracking_uri
mlflow.set_tracking_uri(auth_uri)
print(f"MLflow credentials configured for {tracking_uri}")
else:
mlflow.set_tracking_uri(tracking_uri)
print("MLflow configured without authentication")
# Try to set experiment, but handle auth errors gracefully # Try to set experiment, but handle auth errors gracefully
USE_MLFLOW = True USE_MLFLOW = True