~bigdata-charmers/charms/trusty/apache-hadoop-yarn-master/trunk

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#!/usr/bin/env python
# Licensed 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.

from subprocess import check_call
import jujuresources
from jujuresources import resource_path


def bootstrap_resources():
    """
    Attempt to load and install resources.
    """
    if not jujuresources.verify_resources():
        base_url = jujuresources.config_get('resources_mirror')
        jujuresources.fetch_resources(base_url=base_url)
        if not jujuresources.verify_resources():
            check_call(['juju-log', '-l', 'ERROR',
                        'Resources unavailable; manual intervention required'])
            return False
    check_call(['pip', 'install', resource_path('pathlib')])
    check_call(['pip', 'install', resource_path('charmhelpers')])
    return True


def manage():
    if not bootstrap_resources():
        # defer until resources are available, since charmhelpers, and thus
        # the framework, (will be) managed by jujuresources
        return

    from charmhelpers.core import ch_framework
    from charmhelpers.contrib import bigdata

    hadoop = bigdata.handlers.apache.HadoopBase()
    yarn = bigdata.handlers.apache.YARN(hadoop)
    hdfs = bigdata.handlers.apache.HDFS(hadoop)
    manager = ch_framework.Manager([
        {
            'name': 'hadoop-base',
            'requires': [
                hadoop.verify_conditional_resources,
            ],
            'callbacks': [
                hadoop.install,
            ],
        },
        {
            'name': 'yarn-master',
            'provides': [bigdata.relations.YARNMaster(spec=hadoop.spec)],
            'requires': [
                hadoop.is_installed,
                bigdata.relations.HDFSMaster(spec=hadoop.spec),
            ],
            'callbacks': [
                yarn.configure_resourcemanager,
                yarn.configure_jobhistory,
                hdfs.configure_client,
                ch_framework.helpers.open_ports(yarn.master_ports),
            ],
            'cleanup': [
                ch_framework.helpers.close_ports(yarn.master_ports),
                yarn.stop_resourcemanager,
                yarn.stop_jobhistory,
            ],
        },
    ])
    manager.manage()


if __name__ == '__main__':
    manage()