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e327f0d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 | # syntax=docker/dockerfile:1.6
#
# services/backend/Dockerfile.embedded
# ------------------------------------------------------------------
# Same as Dockerfile.fetch BUT model weights are baked in.
# Final image ~1.5 GB. Use only when S3 fetch is not acceptable
# (air-gapped deploys, regulated environments, faster cold-start).
#
# Assumes the snapshot directory exists at build context:
# services/ml/runs/bundles/full_20260515_044630/_SNAPSHOT_FOR_BUILD/
# The build MUST be run from the repo root with
# docker build -f services/backend/Dockerfile.embedded -t hasarui-api:embedded .
# so the COPY path below resolves.
# ------------------------------------------------------------------
# ---------- Stage 1: builder ----------
FROM python:3.11-slim-bookworm AS builder
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential gcc libpq-dev curl ca-certificates && \
rm -rf /var/lib/apt/lists/*
WORKDIR /build
COPY services/backend/requirements.txt ./requirements.txt
RUN pip install --upgrade pip wheel && \
pip wheel --wheel-dir=/build/wheels \
--extra-index-url https://download.pytorch.org/whl/cpu \
torch==2.3.1+cpu torchvision==0.18.1+cpu && \
pip wheel --wheel-dir=/build/wheels -r requirements.txt
# ---------- Stage 2: runtime ----------
FROM python:3.11-slim-bookworm AS runtime
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1 \
PORT=8000 \
MODEL_DIR=/app/models \
ML_DEVICE=cpu \
SKIP_MODEL_FETCH=1
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 libglib2.0-0 libsm6 libxext6 libxrender1 \
libpq5 curl ca-certificates && \
rm -rf /var/lib/apt/lists/* && \
groupadd --gid 1000 app && \
useradd --uid 1000 --gid app --create-home --shell /bin/bash app
WORKDIR /app
COPY --from=builder /build/wheels /tmp/wheels
COPY services/backend/requirements.txt ./requirements.txt
RUN pip install --upgrade pip && \
pip install --no-index --find-links=/tmp/wheels \
torch==2.3.1+cpu torchvision==0.18.1+cpu && \
pip install --no-index --find-links=/tmp/wheels -r requirements.txt && \
rm -rf /tmp/wheels
# App source
COPY --chown=app:app services/backend/*.py ./
COPY --chown=app:app services/backend/cost_table.yaml ./
COPY --chown=app:app services/backend/alembic.ini ./
COPY --chown=app:app services/backend/migrations ./migrations
COPY --chown=app:app services/backend/scripts ./scripts
# Bake model weights into image
COPY --chown=app:app services/ml/runs/bundles/full_20260515_044630/_SNAPSHOT_FOR_BUILD/ ${MODEL_DIR}/
COPY --chown=app:app services/backend/scripts/entrypoint.sh /usr/local/bin/entrypoint.sh
RUN chmod +x /usr/local/bin/entrypoint.sh
USER app
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
CMD curl --fail http://localhost:${PORT}/health || exit 1
ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers 2"]
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