# Dockerfile.model-serve
# Builds a container that serves an MLflow registry model by name and version.

FROM python:3.13-slim

ENV PYTHONUNBUFFERED=1
WORKDIR /app

RUN apt-get update && apt-get install -y --no-install-recommends \
        curl \
    && rm -rf /var/lib/apt/lists/*

RUN pip install --no-cache-dir mlflow==3.14.0

ARG MODEL_NAME=IsolationForest_Anomaly_Detector
ARG MODEL_VERSION=6
ENV MODEL_NAME=${MODEL_NAME}
ENV MODEL_VERSION=${MODEL_VERSION}

EXPOSE 5001

CMD ["sh", "-c", "mlflow models serve -m \"models:/$MODEL_NAME/$MODEL_VERSION\" --host 0.0.0.0 --port 5001 --env-manager local"]