<?xml version="1.0" encoding="UTF-8"?>
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  ~ Licensed to the Apache Software Foundation (ASF) under one or more
  ~ contributor license agreements.  See the NOTICE file distributed with
  ~ this work for additional information regarding copyright ownership.
  ~ The ASF licenses this file to You under the Apache License, Version 2.0
  ~ (the "License"); you may not use this file except in compliance with
  ~ the License.  You may obtain a copy of the License at
  ~
  ~    http://www.apache.org/licenses/LICENSE-2.0
  ~
  ~ Unless required by applicable law or agreed to in writing, software
  ~ distributed under the License is distributed on an "AS IS" BASIS,
  ~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  ~ See the License for the specific language governing permissions and
  ~ limitations under the License.
  -->

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <parent>
    <artifactId>zeppelin-interpreter-parent</artifactId>
    <groupId>org.apache.zeppelin</groupId>
    <version>0.12.1</version>
    <relativePath>../zeppelin-interpreter-parent/pom.xml</relativePath>
  </parent>

  <artifactId>zeppelin-python</artifactId>
  <packaging>jar</packaging>
  <name>Zeppelin: Python interpreter</name>

  <properties>
    <interpreter.name>python</interpreter.name>
    <python.py4j.version>0.10.7</python.py4j.version>
    <interpreter.jar.name>python-interpreter-with-py4j</interpreter.jar.name>
  </properties>

  <dependencies>
    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>zeppelin-jupyter-interpreter-shaded</artifactId>
      <version>${project.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.commons</groupId>
      <artifactId>commons-exec</artifactId>
      <version>1.3</version>
    </dependency>

    <dependency>
      <groupId>net.sf.py4j</groupId>
      <artifactId>py4j</artifactId>
      <version>${python.py4j.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.commons</groupId>
      <artifactId>commons-lang3</artifactId>
    </dependency>
    <dependency>
      <groupId>commons-io</groupId>
      <artifactId>commons-io</artifactId>
    </dependency>
    <dependency>
      <groupId>commons-codec</groupId>
      <artifactId>commons-codec</artifactId>
    </dependency>
    
    <!-- test libraries -->
    <dependency>
      <groupId>org.mockito</groupId>
      <artifactId>mockito-core</artifactId>
      <scope>test</scope>
    </dependency>

    <dependency>
      <groupId>net.jodah</groupId>
      <artifactId>concurrentunit</artifactId>
      <version>0.4.4</version>
      <scope>test</scope>
    </dependency>

  </dependencies>

  <build>

    <extensions>
      <extension>
        <groupId>kr.motd.maven</groupId>
        <artifactId>os-maven-plugin</artifactId>
        <version>${plugin.os.version}</version>
      </extension>
    </extensions>

    <plugins>

      <plugin>
        <artifactId>maven-antrun-plugin</artifactId>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>run</goal>
            </goals>
          </execution>
        </executions>
      </plugin>

      <!-- publish test jar as well so that spark module can use it -->
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-jar-plugin</artifactId>
        <executions>
          <execution>
            <goals>
              <goal>test-jar</goal>
            </goals>
          </execution>
        </executions>
      </plugin>

      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-surefire-plugin</artifactId>
      </plugin>
      
      <plugin>
        <artifactId>maven-enforcer-plugin</artifactId>
      </plugin>

      <plugin>
        <artifactId>maven-resources-plugin</artifactId>
      </plugin>

      <!--
      shade for python interpreter is different from other interpreter, it depends on zeppelin-interpreter instead of
      zeppelin-interpreter-shaded. Because spark interpreter depends on python interpreter and spark's py4j conflict with python interpreter's py4j.
      python interpreter would generate 2 versions of jars, one is shaded jar which is used for running python interpreter, another is normal jar
      which is used by spark interpreter as dependency.
      -->
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-shade-plugin</artifactId>
        <configuration>
          <filters>
            <filter>
              <artifact>*:*</artifact>
            </filter>
          </filters>
          <transformers>
            <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer" />
            <transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
              <resource>reference.conf</resource>
            </transformer>
          </transformers>
          <artifactSet>
            <excludes>
              <exclude>org.apache.zeppelin:zeppelin-interpreter-shaded</exclude>
            </excludes>
          </artifactSet>
          <outputFile>${project.build.directory}/../../interpreter/python/${interpreter.jar.name}-${project.version}.jar</outputFile>
        </configuration>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>shade</goal>
            </goals>
          </execution>
        </executions>
      </plugin>

      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-checkstyle-plugin</artifactId>
      </plugin>
    </plugins>
  </build>

</project>
