Dockerfile

# ── Vibhu Solutions AI Agent — HuggingFace Spaces Dockerfile ──
FROM python:3.11-slim

# Python flags: unbuffered logs, no .pyc files
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1

# Create non-root user (HuggingFace Spaces requires UID 1000)
RUN useradd -m -u 1000 user
WORKDIR /app

# Install system dependencies as root
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Upgrade pip, then install Python dependencies (system-wide as root)
COPY requirements.txt .
RUN pip install --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Copy project files directly owned by user (faster than separate chown step)
COPY --chown=user:user . .

# Give user write access to the workdir so ingest.py can create faiss_db/
RUN chown user:user /app

# Switch to non-root user BEFORE ingest so:
#   1. HuggingFace model cache lands in /home/user/.cache (accessible at runtime)
#   2. faiss_db/ is created & owned by user (writable at runtime)
USER user
ENV HOME=/home/user \
    HF_HOME=/home/user/.cache/huggingface \
    PORT=7860

# Build FAISS vector index from knowledge base
RUN python ingest.py

EXPOSE 7860

# Health check — verifies the server is up and responding
HEALTHCHECK --interval=30s --timeout=10s --start-period=45s --retries=3 \
  CMD curl -f http://localhost:7860/health || exit 1

# Start the AI Agent
CMD ["python", "app.py"]