glance/glance/async_/flows/introspect.py

98 lines
3.5 KiB
Python

# 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
#
# 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.
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
"""
try:
stdout, stderr = putils.trycmd('qemu-img', 'info',
'--output=json', file_path,
prlimit=utils.QEMU_IMG_PROC_LIMITS,
log_errors=putils.LOG_ALL_ERRORS)
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})
return
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')
self.image_repo.save(new_image)
LOG.debug("%(task_id)s: Introspection successful: %(file)s",
{'task_id': self.task_id, 'file': file_path})
return new_image
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),
)