Dockerfile

# ── Backend: FastAPI + RL Pipeline ──
FROM python:3.11-slim AS backend

WORKDIR /app

# System deps for numpy/scipy/torch
RUN apt-get update && apt-get install -y --no-install-recommends \
        build-essential gfortran libopenblas-dev \
    && rm -rf /var/lib/apt/lists/*

# Install Python dependencies
COPY pyproject.toml ./

# Install PyTorch CPU-only first (from the dedicated index)
RUN pip install --no-cache-dir \
    torch --index-url https://download.pytorch.org/whl/cpu

# Install everything else from default PyPI
RUN pip install --no-cache-dir \
    uvicorn fastapi \
    openenv-core pydantic openai \
    stable-baselines3 \
    streamlit plotly \
    pandas numpy matplotlib \
    cvxpy ecos \
    pyarrow fastexcel polars openpyxl

# Copy application code
COPY server/ ./server/
COPY models.py openenv.yaml baseline.py main.py battery.py config.json ./
COPY rl_env.py rl_evaluator.py ./
COPY rl/ ./rl/
COPY sim/ ./sim/
COPY src/ ./src/
COPY twin/ ./twin/
COPY data/ ./data/
COPY models/ ./models/
COPY dashboards/ ./dashboards/

# Create dirs that the app expects
RUN mkdir -p static plots

EXPOSE 8000

ENV ENABLE_WEB_INTERFACE=true
CMD ["uvicorn", "server.app:app", "--host", "0.0.0.0", "--port", "8000"]