Source code for glance.async.flows.introspect

# Copyright 2015 Red Hat, Inc.
# All Rights Reserved.
#    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
#    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.

import json

from oslo_concurrency import processutils as putils
from oslo_log import log as logging
from oslo_utils import encodeutils
from oslo_utils import excutils
from taskflow.patterns import linear_flow as lf

from glance.async import utils
from glance.i18n import _LE

LOG = logging.getLogger(__name__)

class _Introspect(utils.OptionalTask):
    """Taskflow to pull the embedded metadata out of image file"""

    def __init__(self, task_id, task_type, image_repo):
        self.task_id = task_id
        self.task_type = task_type
        self.image_repo = image_repo
        super(_Introspect, self).__init__(
            name='%s-Introspect-%s' % (task_type, task_id))

    def execute(self, image_id, file_path):
        """Does the actual introspection

        :param image_id: Glance image ID
        :param file_path: Path to the file being introspected

            stdout, stderr = putils.trycmd('qemu-img', 'info',
                                           '--output=json', file_path,
        except OSError as exc:
            # NOTE(flaper87): errno == 2 means the executable file
            # was not found. For now, log an error and move forward
            # until we have a better way to enable/disable optional
            # tasks.
            if exc.errno != 2:
                with excutils.save_and_reraise_exception():
                    exc_message = encodeutils.exception_to_unicode(exc)
                    msg = _LE('Failed to execute introspection '
                              '%(task_id)s: %(exc)s')
                    LOG.error(msg, {'task_id': self.task_id,
                                    'exc': exc_message})

        if stderr:
            raise RuntimeError(stderr)

        metadata = json.loads(stdout)
        new_image = self.image_repo.get(image_id)
        new_image.virtual_size = metadata.get('virtual-size', 0)
        new_image.disk_format = metadata.get('format')
        LOG.debug("%(task_id)s: Introspection successful: %(file)s",
                  {'task_id': self.task_id, 'file': file_path})
        return new_image

[docs]def get_flow(**kwargs): """Return task flow for introspecting images to obtain metadata about the image. :param task_id: Task ID :param task_type: Type of the task. :param image_repo: Image repository used. """ task_id = kwargs.get('task_id') task_type = kwargs.get('task_type') image_repo = kwargs.get('image_repo') LOG.debug("Flow: %(task_type)s with ID %(id)s on %(repo)s", {'task_type': task_type, 'id': task_id, 'repo': image_repo}) return lf.Flow(task_type).add( _Introspect(task_id, task_type, image_repo), )

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