84 lines
2.7 KiB
Python
84 lines
2.7 KiB
Python
# Copyright 2011 OpenStack Foundation
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""
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Prefetches images into the Image Cache
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"""
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import eventlet
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from glance.common import exception
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from glance import context
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from glance.image_cache import base
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import glance.openstack.common.log as logging
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import glance.registry.client.v1.api as registry
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import glance.store
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LOG = logging.getLogger(__name__)
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class Prefetcher(base.CacheApp):
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def __init__(self):
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super(Prefetcher, self).__init__()
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registry.configure_registry_client()
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registry.configure_registry_admin_creds()
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def fetch_image_into_cache(self, image_id):
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ctx = context.RequestContext(is_admin=True, show_deleted=True)
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try:
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image_meta = registry.get_image_metadata(ctx, image_id)
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if image_meta['status'] != 'active':
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LOG.warn(_("Image '%s' is not active. Not caching."),
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image_id)
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return False
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except exception.NotFound:
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LOG.warn(_("No metadata found for image '%s'"), image_id)
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return False
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location = image_meta['location']
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image_data, image_size = glance.store.get_from_backend(ctx, location)
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LOG.debug(_("Caching image '%s'"), image_id)
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cache_tee_iter = self.cache.cache_tee_iter(image_id, image_data,
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image_meta['checksum'])
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# Image is tee'd into cache and checksum verified
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# as we iterate
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list(cache_tee_iter)
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return True
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def run(self):
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images = self.cache.get_queued_images()
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if not images:
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LOG.debug(_("Nothing to prefetch."))
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return True
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num_images = len(images)
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LOG.debug(_("Found %d images to prefetch"), num_images)
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pool = eventlet.GreenPool(num_images)
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results = pool.imap(self.fetch_image_into_cache, images)
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successes = sum([1 for r in results if r is True])
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if successes != num_images:
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LOG.error(_("Failed to successfully cache all "
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"images in queue."))
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return False
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LOG.info(_("Successfully cached all %d images"), num_images)
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return True
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