# Defining environment
ARG APP_ENV=prod

FROM python:3.8 as base
# ENV DOCKERIZE_VERSION v0.6.1
# RUN apk --no-cache add curl tar \
#     && curl https://repo1.maven.org/maven2/org/eclipse/jetty/jetty-runner/9.4.20.v20190813/jetty-runner-9.4.20.v20190813.jar --output jetty-runner.jar \
#     && curl -L https://github.com/jwilder/dockerize/releases/download/$DOCKERIZE_VERSION/dockerize-linux-amd64-$DOCKERIZE_VERSION.tar.gz | tar -C /usr/local/bin -xzv
RUN apt-get update && apt-get install -y \
        librdkafka-dev \
        python3-ldap \
        libldap2-dev \
        libsasl2-dev \
        ldap-utils \
    && python -m pip install --upgrade pip wheel setuptools

FROM openjdk:8 as prod-build
COPY . /datahub-src
# RUN cd /datahub-src && ./gradlew :metadata-events:mxe-schemas:build

FROM base as prod-codegen
COPY --from=prod-build /datahub-src /datahub-src
# RUN cd /datahub-src/metadata-ingestion && \
#     pip install -e ".[base]" && \
#     ./scripts/codegen.sh

FROM base as prod-install
COPY --from=prod-codegen /datahub-src/metadata-ingestion /datahub-ingestion
RUN cd /datahub-ingestion && \
    pip install ".[all]"

FROM base as dev-install
# Dummy stage for development. Assumes code is built on your machine and mounted to this image.
# See this excellent thread https://github.com/docker/cli/issues/1134

FROM ${APP_ENV}-install as final

RUN addgroup --system datahub && adduser --system datahub --ingroup datahub
USER datahub

ENTRYPOINT [ "datahub" ]