Dockerfile.hf

# ============================================================================
# KRONECTOR — Hugging Face Spaces Dockerfile
# ============================================================================
# HF Spaces runs a single container, so we combine FastAPI + Streamlit
# behind a simple process manager. HF exposes port 7860 by default.
#
# Deploy:
#   1. Create a Space on huggingface.co (SDK: Docker)
#   2. Push this repo to the Space
#   3. Set GROQ_API_KEY as a Space Secret
# ============================================================================

FROM python:3.11-slim

WORKDIR /app

# LightGBM requires libgomp (OpenMP runtime)
RUN apt-get update && apt-get install -y --no-install-recommends \
    libgomp1 \
    curl \
    supervisor \
    && rm -rf /var/lib/apt/lists/*

COPY --chown=1000:1000 requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY --chown=1000:1000 agents/ ./agents/
COPY --chown=1000:1000 api/ ./api/
COPY --chown=1000:1000 ml/ ./ml/
COPY --chown=1000:1000 data/ ./data/
COPY --chown=1000:1000 scripts/ ./scripts/
COPY --chown=1000:1000 run_api.py run_all.py ./

# Copy pre-trained model artifacts and data
COPY --chown=1000:1000 data_output/ ./data_output/
COPY --chown=1000:1000 mlruns/ ./mlruns/
COPY --chown=1000:1000 mlflow.db ./mlflow.db

# Supervisor config — runs FastAPI on 7860 (HF's expected port)
RUN cat > /etc/supervisor/conf.d/kronector.conf << 'EOF'
[supervisord]
nodaemon=true
logfile=/dev/stdout
logfile_maxbytes=0

[program:fastapi]
command=uvicorn api.main:app --host 0.0.0.0 --port 7860
autostart=true
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0
EOF

# HF Spaces expects port 7860
EXPOSE 7860

ENV MLFLOW_ALLOW_FILE_STORE=true

CMD ["supervisord", "-c", "/etc/supervisor/supervisord.conf"]