# ElideDB query-by-example service. Build from the REPO ROOT:
#   docker build -f deploy/Dockerfile.qbe -t elidedb-qbe .
#   docker run -p 7860:7860 -v $PWD/lake:/app/lake elidedb-qbe
#
# Deliberately not the text image. That one carries torch and five text
# towers because a sentence has to be encoded before it can be matched.
# Query by example matches vectors the store already holds, so this image
# has no model in it at all - it boots as fast as the store downloads.
FROM python:3.11-slim

# ffmpeg muxes the clips the results play; every frame is decoded from the
# stored video's own bytes, so there is no image or preview cache anywhere.
RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg && rm -rf /var/lib/apt/lists/*

WORKDIR /app
COPY deploy/requirements-qbe.txt /app/deploy/requirements-qbe.txt
RUN pip install --no-cache-dir -r deploy/requirements-qbe.txt

COPY python /app/python
COPY deploy/entrypoint-qbe.sh /app/deploy/entrypoint-qbe.sh
COPY deploy/qbe_serve.py /app/deploy/qbe_serve.py
COPY deploy/qbe_ui.html /app/deploy/qbe_ui.html
RUN chmod +x /app/deploy/entrypoint-qbe.sh

ENV PYTHONPATH=/app/python \
    ELIDEDB_DEVICE=cpu \
    DEMO_STORE_DATASET=SudharshanR/elidedb-demo-store \
    ELIDEDB_LAKE=lake \
    PORT=7860 \
    HF_HOME=/app/hf_cache

EXPOSE 7860
CMD ["/app/deploy/entrypoint-qbe.sh"]