Dockerfile

# syntax=docker/dockerfile:1

########################
# 1.  Runtime stage
########################
FROM python:3.10-slim AS runtime

# ── Environment hygiene ────────────────────────────────────────────────────
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1 \
    PIP_NO_CACHE_DIR=1 \
    # Streamlit: suppress browser launch & telemetry inside container
    STREAMLIT_BROWSER_GATHER_USAGE_STATS=false \
    STREAMLIT_SERVER_HEADLESS=true

# ── System deps ────────────────────────────────────────────────────────────
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        git build-essential \
        openjdk-17-jre-headless          \
        curl                             \
        && rm -rf /var/lib/apt/lists/*

# ── Python deps ────────────────────────────────────────────────────────────
WORKDIR /app
COPY requirements.txt .
RUN pip install --upgrade pip && pip install -r requirements.txt \
    && pip install streamlit

# ── Project code ──────────────────────────────────────────────────────────
COPY . .

# ── Default entrypoint  → Streamlit dashboard ─────────────────────────────
EXPOSE 8501
ENTRYPOINT ["streamlit", "run", "scripts/dashboard.py", "--server.port", "8501", "--server.address", "0.0.0.0"]


########################
# 2.  Dev / CI stage
########################
FROM runtime AS dev

# Extra tooling for development & CI
RUN pip install \
      black isort flake8 pytest \
      mkdocs-material

# Default to an interactive shell
CMD ["/bin/bash"]

###########################################################################
# Build / run cheat-sheet                                                 #
# ----------------------------------------------------------------------- #
# Production container (dashboard):                                       #
#   docker build -t rag-eval .                                            #
#   docker run -p 8501:8501 rag-eval                                      #
#                                                                         #
# Alternative CLI usage:                                                  #
#   docker run --rm rag-eval python scripts/run_experiments.py --help     #
#                                                                         #
# Development container (with lint/test/docs tools):                      #
#   docker build -t rag-eval-dev --target dev .                           #
#   docker run --rm -it rag-eval-dev                                      #
###########################################################################