# ───────────────────────────────────────────────────────────
# Dockerfile for Hugging Face Spaces (Docker SDK) — full ML stack.
# 16GB RAM on the free tier comfortably runs the CryptoBERT ensemble.
# HF Spaces serve on port 7860.
# ───────────────────────────────────────────────────────────
FROM python:3.11-slim

# System deps (build tools for some wheels)
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential curl && rm -rf /var/lib/apt/lists/*

# Non-root user (HF Spaces convention) + writable home
RUN useradd -m -u 1000 user
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    HF_HOME=/home/user/.cache/huggingface \
    DB_PATH=/home/user/app/narrative_analysis.db \
    PYTHONUNBUFFERED=1

WORKDIR /home/user/app

# Install Python deps (core + full ML) as the user
COPY --chown=user requirements.txt requirements-ml.txt ./
RUN pip install --no-cache-dir --user -r requirements.txt -r requirements-ml.txt

# Pre-download models at build time so the first request is fast
RUN python -c "from huggingface_hub import snapshot_download; snapshot_download('ElKulako/cryptobert')" || true
RUN python -m spacy download en_core_web_sm || true

# App code
COPY --chown=user . .

# Ensure the whole home (app dir, caches) is writable by the runtime user
RUN chown -R user:user /home/user

USER user
EXPOSE 7860
CMD ["python", "-m", "uvicorn", "server:app", "--host", "0.0.0.0", "--port", "7860"]