mlops/.env.example at main · tecuzin/mlops · GitHub

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# PostgreSQL
POSTGRES_USER=mlops_app
POSTGRES_PASSWORD=change_me_StrongDBPass_2026
POSTGRES_DB=mlops

# API
DATABASE_URL=postgresql://mlops_app:change_me_StrongDBPass_2026@db:5432/mlops
API_URL=http://api:8000

# MLflow
MLFLOW_TRACKING_URI=http://mlflow:5000

# Workers
POLL_INTERVAL=10
OUTPUT_DIR=/app/outputs
LAKEHOUSE_ENABLED=true
LAKEHOUSE_S3_ENDPOINT=http://minio:9000
LAKEHOUSE_S3_BUCKET=lakehouse
LAKEHOUSE_CATALOG_URI=http://nessie:19120/api/v1
LAKEHOUSE_CATALOG_NAME=nessie
LAKEHOUSE_CATALOG_REF=main
LAKEHOUSE_WAREHOUSE=s3a://lakehouse/warehouse
LAKEHOUSE_METADATA_DIR=/app/lakehouse/metadata
MINIO_ROOT_USER=minio_admin
MINIO_ROOT_PASSWORD=change_me_StrongMinioPass_2026
AWS_REGION=us-east-1
AWS_DEFAULT_REGION=us-east-1

# HuggingFace (requis pour télécharger certains modèles)
# HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxx

# Mistral AI (requis pour l'évaluation RAGAS — utilisé comme LLM juge)
MISTRAL_API_KEY=xxxxxxxxxxxxxxxxxxxx
MISTRAL_MODEL=mistral-small-latest

# Seuil de validation MLScore (tag validated/rejected)
MLSCORE_THRESHOLD=0.7

# Intervalle de reconciliation des tags MLflow (en secondes, defaut: 3600 = 1h)
TAG_SYNC_INTERVAL=3600