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import os
import urllib.request

from pypaimon.py4j import constants


def setup_hadoop_bundle_jar(hadoop_dir):
    if constants.PYPAIMON_HADOOP_CLASSPATH in os.environ:
        file = os.environ[constants.PYPAIMON_HADOOP_CLASSPATH]
        if os.path.isfile(file):
            return

    url = 'https://repo.maven.apache.org/maven2/org/apache/flink/' \
          'flink-shaded-hadoop-2-uber/2.8.3-10.0/flink-shaded-hadoop-2-uber-2.8.3-10.0.jar'

    response = urllib.request.urlopen(url)
    if not os.path.exists(hadoop_dir):
        os.mkdir(hadoop_dir)

    jar_path = os.path.join(hadoop_dir, "bundled-hadoop.jar")
    with open(jar_path, 'wb') as file:
        file.write(response.read())

    os.environ[constants.PYPAIMON_HADOOP_CLASSPATH] = jar_path