da28bc4ce9
- Add support for deleting directories - Add a slew of tests for deletion of directories and other kinds of deletion and layering
127 lines
4.8 KiB
Python
127 lines
4.8 KiB
Python
import logging
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import json
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import hashlib
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from flask import redirect, Blueprint, abort, send_file
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from app import app
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from auth.auth import process_auth
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from auth.permissions import ReadRepositoryPermission
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from data import model
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from data import database
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from storage import Storage
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from util.queuefile import QueueFile
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from util.queueprocess import QueueProcess
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from util.gzipwrap import GzipWrap
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from util.dockerloadformat import build_docker_load_stream
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verbs = Blueprint('verbs', __name__)
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logger = logging.getLogger(__name__)
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def _open_stream(namespace, repository, tag, synthetic_image_id, image_json, image_list):
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store = Storage(app)
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def get_next_image():
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for current_image_id in image_list:
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yield model.get_repo_image(namespace, repository, current_image_id)
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def get_next_layer():
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for current_image_id in image_list:
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current_image_entry = model.get_repo_image(namespace, repository, current_image_id)
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current_image_path = store.image_layer_path(current_image_entry.storage.uuid)
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current_image_stream = store.stream_read_file(current_image_entry.storage.locations,
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current_image_path)
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logger.debug('Returning image layer %s: %s' % (current_image_id, current_image_path))
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yield current_image_stream
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database.configure(app.config)
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stream = build_docker_load_stream(namespace, repository, tag, synthetic_image_id, image_json,
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get_next_image, get_next_layer)
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return stream.read
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def _write_synthetic_image_to_storage(linked_storage_uuid, linked_locations, queue_file):
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database.configure(app.config)
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store = Storage(app)
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def handle_exception(ex):
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model.delete_derived_storage_by_uuid(linked_storage_uuid)
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queue_file.add_exception_handler(handle_exception)
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image_path = store.image_layer_path(linked_storage_uuid)
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store.stream_write(linked_locations, image_path, queue_file)
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queue_file.close()
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if not queue_file.raised_exception:
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done_uploading = model.get_storage_by_uuid(linked_storage_uuid)
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done_uploading.uploading = False
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done_uploading.save()
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@verbs.route('/squash/<namespace>/<repository>/<tag>', methods=['GET'])
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@process_auth
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def get_squashed_tag(namespace, repository, tag):
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permission = ReadRepositoryPermission(namespace, repository)
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if permission.can() or model.repository_is_public(namespace, repository):
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# Lookup the requested tag.
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try:
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tag_image = model.get_tag_image(namespace, repository, tag)
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except model.DataModelException:
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abort(404)
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# Lookup the tag's image and storage.
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repo_image = model.get_repo_image(namespace, repository, tag_image.docker_image_id)
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if not repo_image:
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abort(404)
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store = Storage(app)
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derived = model.find_or_create_derived_storage(repo_image.storage, 'squash',
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store.preferred_locations[0])
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if not derived.uploading:
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logger.debug('Derived image %s exists in storage', derived.uuid)
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derived_layer_path = store.image_layer_path(derived.uuid)
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download_url = store.get_direct_download_url(derived.locations, derived_layer_path)
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if download_url:
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logger.debug('Redirecting to download URL for derived image %s', derived.uuid)
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return redirect(download_url)
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logger.debug('Sending cached derived image %s', derived.uuid)
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return send_file(store.stream_read_file(derived.locations, derived_layer_path))
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# Load the ancestry for the image.
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logger.debug('Building and returning derived image %s', derived.uuid)
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uuid = repo_image.storage.uuid
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ancestry_data = store.get_content(repo_image.storage.locations, store.image_ancestry_path(uuid))
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full_image_list = json.loads(ancestry_data)
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# Load the image's JSON layer.
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image_json_data = store.get_content(repo_image.storage.locations, store.image_json_path(uuid))
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image_json = json.loads(image_json_data)
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# Calculate a synthetic image ID.
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synthetic_image_id = hashlib.sha256(tag_image.docker_image_id + ':squash').hexdigest()
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# Create a queue process to generate the data. The queue files will read from the process
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# and send the results to the client and storage.
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args = (namespace, repository, tag, synthetic_image_id, image_json, full_image_list)
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queue_process = QueueProcess(_open_stream, 8 * 1024, 10 * 1024 * 1024, args) # 8K/10M chunk/max
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client_queue_file = QueueFile(queue_process.create_queue(), 'client')
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storage_queue_file = QueueFile(queue_process.create_queue(), 'storage')
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# Start building.
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queue_process.run()
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# Start the storage saving.
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storage_args = (derived.uuid, derived.locations, storage_queue_file)
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QueueProcess.run_process(_write_synthetic_image_to_storage, storage_args)
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# Return the client's data.
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return send_file(client_queue_file)
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abort(403)
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