Dockerfile.requirements

# syntax=docker/dockerfile:1.4
ARG PYTHON_IMAGE=ghcr.io/astral-sh/uv:python3.12-bookworm-slim

# BUILD STAGE - Download dependencies from GitHub that require SSH access
FROM $PYTHON_IMAGE as build

RUN apt-get update
RUN apt-get install -y \
    curl \
    git \
    build-essential \
    libffi-dev \
    libpq-dev 

ENV UV_LINK_MODE=copy \
    UV_COMPILE_BYTECODE=1 \
    UV_PYTHON_DOWNLOADS=never \
    UV_PYTHON=python \
    UV_PROJECT_ENVIRONMENT=/api

# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
    uv export --no-hashes --frozen --format requirements-txt > requirements.txt


RUN grep -v '^-e ' requirements.txt > requirements.remote.txt
# build all remote wheels
RUN pip wheel -w wheels --find-links wheels -r requirements.remote.txt

# build all local packages to wheels
RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
    uv build --all-packages --wheel -o wheels

# RUNTIME STAGE - Copy packages from build stage and install runtime dependencies
FROM $PYTHON_IMAGE

# Our postgres driver psycopg2 requires libpq-dev as a runtime dependency
RUN apt-get update
RUN apt-get install -y \
    git \
    libpq-dev \
    make \
    curl \
    libexpat1

COPY --from=build /wheels/ /wheels/

RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
    uv pip install --no-deps --no-index --find-links=wheels wheels/* --system