FROM python:3.10.2-bullseye as base

ENV PYTHONFAULTHANDLER=1 \
    PYTHONHASHSEED=random \
    PYTHONUNBUFFERED=1

WORKDIR /app

FROM base as builder

ENV PIP_DEFAULT_TIMEOUT=100 \
    PIP_DISABLE_PIP_VERSION_CHECK=1 \
    PIP_NO_CACHE_DIR=1 \
    POETRY_VERSION=1.1.12

# Create a /venv directory & environment.
# This directory will be copied into the final stage of docker build.
RUN python -m venv /venv

# Copy only the necessary files to build/install the python package
COPY pyproject.toml poetry.lock /app/
COPY mwmbl /app/mwmbl

# Working directory is /app
# Use pip to install the mwmbl python package
# PEP 518, PEP 517 and others have allowed for a standardized python packaging API, which allows
# pip to be able to install poetry packages.
RUN /venv/bin/pip install pip --upgrade && \
    /venv/bin/pip install .

FROM base as final

# Copy only the required /venv directory from the builder image that contains mwmbl and its dependencies
COPY --from=builder /venv /venv

# Working directory is /app
# Copying data and config into /app so that relative (default) paths in the config work
# COPY data /app/data

# Using the mwmbl-tinysearchengine binary/entrypoint which comes packaged with mwmbl
CMD ["/venv/bin/mwmbl-tinysearchengine", "--index", "data/index.tinysearch", "--terms", "data/mwmbl-crawl-terms.csv"]