Welcome to mlflow_api

SEDIMARK Rest API for interacting with the MLFlow in the toolbox

Usage

• uv

  Requirements

  • uv >= 0.5.0
  • python >= 3.11.0

  Running

  • First run

    uv run src/mlflow_api/main.py

  • All the other runs

    uv run mlflow_api

• Docker

  Environment Variables

  • MLFLOW_TRACKING_USERNAME - The username for the local MLFlow instance
  • MLFLOW_TRACKING_PASSWORD - The password for the local MLFlow instance
  • AWS_ACCESS_KEY_ID - The access key for the local MINIO/remote S3 instance
  • AWS_SECRET_ACCESS_KEY - The secret key for the local MINIO/remote S3 instance
  • MLFLOW_S3_ENDPOINT_URL - The url for the local MINIO/remote S3 instance
  • MLFLOW_TRACKING_INSECURE_TLS - The type of connection for the local MLFlow instance (true/false)
  • MLFLOW_TRACKING_URI - The url for the local MLFlow instance

  Building the image

  docker build -t mlflow_api .

  Running

    docker run -itd -p 8000:8000 \
  -e MLFLOW_TRACKING_USERNAME=admin \
  -e MLFLOW_TRACKING_PASSWORD=password \
  -e AWS_ACCESS_KEY_ID=<key> \
  -e AWS_SECRET_ACCESS_KEY=<secret> \ 
  -e MLFLOW_S3_ENDPOINT_URL=http://localhost:9001 \
  -e MLFLOW_TRACKING_INSECURE_TLS=true \
  -e MLFLOW_TRACKING_URI=http://localhost:5000 \
  mlflow_api