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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 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | # syntax=docker/dockerfile:1.6
#
# services/backend/Dockerfile.fetch
# ------------------------------------------------------------------
# Render-targeted, CPU-only, slim image. Model weights are NOT baked
# into the image — they are pulled from S3 at container boot by
# scripts/entrypoint.sh, then uvicorn / celery is exec'd.
#
# Result: ~600 MB image, ~30-60 s cold boot (model download + warmup).
# Use this for hasarui-api and hasarui-worker on Render.
# ------------------------------------------------------------------
# ---------- 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
# Build deps for wheels (psycopg2, Pillow, opencv source builds — rare on slim)
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
# Install CPU-only torch BEFORE requirements so ultralytics doesn't pull CUDA build.
COPY 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 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
PORT=8000 \
MODEL_DIR=/app/models \
ML_DEVICE=cpu
# Runtime system deps:
# libgl1, libglib2.0-0, libsm6, libxext6, libxrender1 -> opencv-python
# libpq5 -> asyncpg / psycopg2
# curl, ca-certificates -> healthcheck + S3 fetch
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
# Install pre-built wheels from builder stage
COPY --from=builder /build/wheels /tmp/wheels
COPY 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 (lean copy — see .dockerignore)
COPY --chown=app:app *.py ./
COPY --chown=app:app cost_table.yaml ./
COPY --chown=app:app alembic.ini ./
COPY --chown=app:app migrations ./migrations
COPY --chown=app:app scripts ./scripts
# Entrypoint pulls model bundle from S3 then exec's the real command.
COPY --chown=app:app scripts/entrypoint.sh /usr/local/bin/entrypoint.sh
RUN chmod +x /usr/local/bin/entrypoint.sh && \
mkdir -p ${MODEL_DIR} && chown -R app:app ${MODEL_DIR}
USER app
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=10s --start-period=90s --retries=3 \
CMD curl --fail http://localhost:${PORT}/health || exit 1
ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
# Default command — overridden by Render worker service via dockerCommand.
CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers 2"]
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