FROM docker.io/alpine:3.21 AS builder

ENV POETRY_VIRTUALENVS_IN_PROJECT=true
ENV POETRY_NO_INTERACTION=1
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV PIP_NO_CACHE_DIR=off

RUN apk --no-cache add \
  yarn \
  git \
  musl-dev \
  gcc \
  g++ \
  make \
  python3-dev \
  openldap-dev \
  zlib-dev \
  jpeg-dev \
  grep \
  sed \
  libffi-dev \
  poetry

ENV FLORET_VERSION=v0.10.5

RUN git clone https://github.com/explosion/floret.git /floret
RUN cd /floret && git checkout $FLORET_VERSION
RUN sed -i '/^#include <vector>/a #include <cstdint>' /floret/src/args.h

ENV VERSION=v2.8.0

RUN git clone https://github.com/mealie-recipes/mealie.git
WORKDIR /mealie
RUN git checkout $VERSION

RUN poetry export --only=main --without-hashes --extras=pgsql --output=requirements.txt
RUN sed -i 's|floret==0.10.5 ; python_version >= "3.12" and python_version < "3.13"|floret @ file:///floret ; python_version >= "3.12" and python_version < "3.13"|' requirements.txt
RUN python3 -m venv env
RUN env/bin/pip3 install -r requirements.txt

RUN find env/bin -type f -exec grep -lZ "^#!/mealie/env/bin/python" {} + | xargs -0 -I {} sed -i "1s|^#!/mealie/env/bin/python|#!/py-pkgs/bin/python|" {}
RUN echo "/home/mealie/app/" > /mealie/env/lib/python3.12/site-packages/mealie.pth

WORKDIR /mealie/frontend
RUN yarn install \
    --prefer-offline \
    --frozen-lockfile \
    --non-interactive \
    --production=false \
    --network-timeout 1000000 \
    --ignore-engines
RUN echo "n" | yarn generate


FROM docker.io/alpine:3.21

ENV PRODUCTION=true
ENV TESTING=false
ENV PYTHONPATH=/py-pkgs
ENV PATH=$PATH:/py-pkgs/bin
ENV STATIC_FILES=/home/mealie/app/static

RUN addgroup -g 2222 mealie
RUN adduser -h /home/mealie -u 2222 -D -G mealie mealie

RUN apk add --no-cache \
  python3 \
  libldap \
  zlib \
  jpeg

COPY --from=builder --chown=mealie:mealie /mealie/env /py-pkgs
COPY --from=builder --chown=mealie:mealie /mealie/mealie /home/mealie/app/mealie
COPY --from=builder --chown=mealie:mealie /mealie/frontend/dist /home/mealie/app/static

RUN mkdir -p /app/data
RUN chown mealie:mealie /app/data

ENV NLTK_DATA="/nltk_data/"
RUN mkdir -p $NLTK_DATA
RUN /py-pkgs/bin/python -m nltk.downloader -d $NLTK_DATA averaged_perceptron_tagger_eng

ENV HOME /home/mealie/app
WORKDIR /home/mealie/app
USER mealie

ENV APP_PORT=9000
ENV HOST=0.0.0.0

EXPOSE 9000
VOLUME ["/app/data"]
CMD ["/py-pkgs/bin/python", "mealie/main.py"]