Dockerfile.test

# MemoryLayer Embed Server — lightweight test image
#
# Build context: repo root (scitrera-memorylayer-ai-cc/)
#   docker build -f oss/memorylayer-embed-server/Dockerfile.test -t memorylayer-embed-server:test .
#
# Purpose: docker-compose integration test alongside memorylayer-server.
# Uses the deterministic mock embedding providers (no torch, no CUDA, no
# model downloads) so the chain memorylayer-server → memorylayer-embed-server
# can be exercised in CI without GPUs.
#
# Plain HTTP only — sidecar is disabled via ``EMBED_SERVER_RUN_SIDECAR=false``
# (see scripts/entrypoint.sh).

FROM python:3.12-slim AS base

ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    DEBIAN_FRONTEND=noninteractive

# Curl is only needed for the HEALTHCHECK below; keep the image small.
RUN apt-get update && \
    apt-get install -y --no-install-recommends curl && \
    rm -rf /var/lib/apt/lists/*

RUN groupadd --gid 65532 memorylayer && \
    useradd --uid 65532 --gid memorylayer --create-home memorylayer

# Install uv for fast resolution; same convention as the production image.
RUN pip install --no-cache-dir uv==0.9.17

# Copy source packages
COPY oss/memorylayer-core-python /src/memorylayer-core-python
COPY oss/memorylayer-embed-server /src/memorylayer-embed-server

# Aether client is required by both packages but only needs the pure-Python
# parts; install from PyPI so we skip the protobuf-gen / Go build path.
RUN uv pip install --system --no-cache \
        /src/memorylayer-core-python \
        /src/memorylayer-embed-server

WORKDIR /app
USER memorylayer

# Mock-provider mode + plain-HTTP entrypoint.
ENV EMBED_SERVER_RUN_SIDECAR=false \
    MEMORYLAYER_EMBED_USE_MOCK_PROVIDERS=true \
    MEMORYLAYER_EMBED_PRELOAD_MODELS=false

EXPOSE 61051

HEALTHCHECK --interval=5s --timeout=3s --start-period=10s --retries=5 \
    CMD curl -fsS http://localhost:61051/health || exit 1

ENTRYPOINT ["memorylayer-embed", "serve"]