Dockerfile

# Multi-stage Dockerfile optimized for Hugging Face Spaces
# HF Spaces requirements: port 7860, runs as non-root user

FROM python:3.12-slim AS base

# Install system deps
RUN apt-get update && apt-get install -y --no-install-recommends \
    curl git build-essential \
    && rm -rf /var/lib/apt/lists/*

# Install uv (Rust-native Python package manager)
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
ENV PATH="/root/.cargo/bin:/root/.local/bin:$PATH"

WORKDIR /app

# Copy dependency files first for layer caching
COPY pyproject.toml ./

# Install dependencies with uv (10-100x faster than pip)
RUN uv pip install --system --no-cache \
    fastapi uvicorn[standard] websockets pydantic pydantic-settings \
    litellm groq qdrant-client fastembed \
    redis[hiredis] aiokafka structlog httpx \
    python-multipart xxhash neo4j python-dotenv orjson \
    anyio tenacity prefect

# Copy source
COPY . .

# Create cache directory for FastEmbed model weights
RUN mkdir -p /tmp/fastembed_cache

# HF Spaces runs as user 1000
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app /tmp/fastembed_cache
USER appuser

# Expose HF Spaces standard port
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

CMD ["python", "hf_main.py"]