Dockerfile

FROM ghcr.io/mlflow/mlflow:v3.10.1

USER root
RUN mkdir -p /mlflow/artifacts
RUN useradd -m -u 1000 mlflow
RUN chown -R mlflow:mlflow /mlflow

USER mlflow
RUN pip install --upgrade pip
RUN pip install --no-cache-dir psycopg2-binary boto3

EXPOSE 7860

# ── ENV (surchargeables via HF Spaces Settings → Variables/Secrets) ────────
ENV MLFLOW_BACKEND_STORE_URI="sqlite:////mlflow/mlflow.db"

# Bucket HF (S3-compatible) — namespace dans l'endpoint, bucket seul dans l'URI
ENV MLFLOW_S3_ENDPOINT_URL="https://s3.hf.co/Frederic-CellNum"
ENV MLFLOW_ARTIFACT_ROOT="s3://mlflow_fraud-storage/"
ENV AWS_DEFAULT_REGION="us-east-1"
ENV AWS_ACCESS_KEY_ID=""
ENV AWS_SECRET_ACCESS_KEY=""

# Requis pour les versions récentes de boto3 — la passerelle HF ne gère pas
# les checksums trailing CRC32 (aws-chunked) envoyés par défaut
ENV AWS_REQUEST_CHECKSUM_CALCULATION="when_required"
ENV AWS_RESPONSE_CHECKSUM_VALIDATION="when_required"

CMD mlflow server --host 0.0.0.0 \
    --port 7860 \
    --backend-store-uri "$MLFLOW_BACKEND_STORE_URI" \
    --default-artifact-root "$MLFLOW_ARTIFACT_ROOT" \
    --allowed-hosts "*" \
    --cors-allowed-origins "*"