FROM maven:3-eclipse-temurin-8 AS datax-builder

# 配置 Maven 阿里云镜像
RUN mkdir -p /root/.m2 && \
    echo '<?xml version="1.0" encoding="UTF-8"?>\n\
<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"\n\
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"\n\
          xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0 http://maven.apache.org/xsd/settings-1.0.0.xsd">\n\
  <mirrors>\n\
    <mirror>\n\
      <id>aliyunmaven</id>\n\
      <mirrorOf>*</mirrorOf>\n\
      <name>阿里云公共仓库</name>\n\
      <url>https://maven.aliyun.com/repository/public</url>\n\
    </mirror>\n\
  </mirrors>\n\
</settings>' > /root/.m2/settings.xml

RUN apt-get update && \
    apt-get install -y git && \
    git clone https://gitee.com/alibaba/DataX.git

COPY runtime/datax/ DataX/

RUN cd DataX && \
    sed -i "s/com.mysql.jdbc.Driver/com.mysql.cj.jdbc.Driver/g" \
    plugin-rdbms-util/src/main/java/com/alibaba/datax/plugin/rdbms/util/DataBaseType.java && \
    mvn -U clean package assembly:assembly -Dmaven.test.skip=true

FROM python:3.12-slim

# Single-stage image with build cache optimization using BuildKit cache mounts.
# Note: to use the cache mount syntax you must build with BuildKit enabled:
# DOCKER_BUILDKIT=1 docker build . -f scripts/images/datamate-python/Dockerfile -t datamate-backend-python

# 配置 apt 阿里云镜像源
RUN if [ -f /etc/apt/sources.list.d/debian.sources ]; then \
        sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/debian.sources; \
    elif [ -f /etc/apt/sources.list ]; then \
        sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list; \
    fi && \
    apt-get update && \
    apt-get install -y --no-install-recommends vim openjdk-21-jre nfs-common glusterfs-client rsync && \
    rm -rf /var/lib/apt/lists/*

ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    POETRY_VERSION=2.2.1 \
    POETRY_NO_INTERACTION=1 \
    POETRY_VIRTUALENVS_CREATE=false \
    POETRY_CACHE_DIR=/tmp/poetry_cache

ENV JAVA_HOME=/usr/lib/jvm/java-21-openjdk

ENV PATH="/root/.local/bin:$JAVA_HOME/bin:$PATH"

WORKDIR /app

# 配置 pip 阿里云镜像并安装 Poetry
RUN --mount=type=cache,target=/root/.cache/pip \
    pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/ && \
    pip config set global.trusted-host mirrors.aliyun.com && \
    pip install --upgrade --root-user-action=ignore pip \
    && pip install --root-user-action=ignore pipx \
    && pipx install "poetry==$POETRY_VERSION"

COPY --from=datax-builder /DataX/target/datax/datax /opt/datax
RUN cp /opt/datax/plugin/reader/mysqlreader/libs/mysql* /opt/datax/plugin/reader/starrocksreader/libs/

# Copy only dependency files first (leverages layer caching when dependencies don't change)
COPY runtime/datamate-python/pyproject.toml runtime/datamate-python/poetry.lock* /app/

# Install dependencies using Poetry with cache mount
# --no-root: don't install the project itself yet (only dependencies)
# --only main: only install main dependencies, not dev dependencies
RUN --mount=type=cache,target=$POETRY_CACHE_DIR \
    poetry install --no-root --only main

# Download NLTK data
RUN python -c "import nltk; nltk.download(['punkt_tab','averaged_perceptron_tagger_eng'], download_dir='/usr/local/nltk_data')"
ENV NLTK_DATA=/usr/local/nltk_data

# Copy the rest of the application
COPY runtime/datamate-python /app

COPY runtime/datamate-python/deploy/docker-entrypoint.sh /docker-entrypoint.sh
RUN chmod +x /docker-entrypoint.sh || true

# Expose the application port
EXPOSE 18000

ENTRYPOINT ["/docker-entrypoint.sh"]