mycroft-core/mycroft/skills/settings.py

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Change to Apache 2.0 license from GPLv3.0 This commit officially switches the mycroft-core repository from GPLv3.0 licensing to Apache 2.0. All dependencies on GPL'ed code have been removed and we have contacted all previous contributors with still-existing code in the repository to agree to this change. Going forward, all contributors will sign a Contributor License Agreement (CLA) by visiting https://mycroft.ai/cla, then they will be included in the Mycroft Project's overall Contributor list, found at: https://github.com/MycroftAI/contributors. This cleanly protects the project, the contributor and all who use the technology to build upon. Futher discussion can be found at this blog post: https://mycroft.ai/blog/right-license/ This commit also removes all __author__="" from the code. These lines are painful to maintain and the etiquette surrounding their maintainence is unclear. Do you remove a name from the list if the last line of code the wrote gets replaced? Etc. Now all contributors are publicly acknowledged in the aforementioned repo, and actual authorship is maintained by Github in a much more effective and elegant way! Finally, a few references to "Mycroft AI" were changed to the correct legal entity name "Mycroft AI Inc." ==== Fixed Issues ==== #403 Update License.md and file headers to Apache 2.0 #400 Update LICENSE.md ==== Documentation Notes ==== Deprecated the ScheduledSkill and ScheduledCRUDSkill classes. These capabilities have been superceded by the more flexible MycroftSkill class methods schedule_event(), schedule_repeating_event(), update_event(), and cancel_event().
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# Copyright 2017 Mycroft AI Inc.
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#
Change to Apache 2.0 license from GPLv3.0 This commit officially switches the mycroft-core repository from GPLv3.0 licensing to Apache 2.0. All dependencies on GPL'ed code have been removed and we have contacted all previous contributors with still-existing code in the repository to agree to this change. Going forward, all contributors will sign a Contributor License Agreement (CLA) by visiting https://mycroft.ai/cla, then they will be included in the Mycroft Project's overall Contributor list, found at: https://github.com/MycroftAI/contributors. This cleanly protects the project, the contributor and all who use the technology to build upon. Futher discussion can be found at this blog post: https://mycroft.ai/blog/right-license/ This commit also removes all __author__="" from the code. These lines are painful to maintain and the etiquette surrounding their maintainence is unclear. Do you remove a name from the list if the last line of code the wrote gets replaced? Etc. Now all contributors are publicly acknowledged in the aforementioned repo, and actual authorship is maintained by Github in a much more effective and elegant way! Finally, a few references to "Mycroft AI" were changed to the correct legal entity name "Mycroft AI Inc." ==== Fixed Issues ==== #403 Update License.md and file headers to Apache 2.0 #400 Update LICENSE.md ==== Documentation Notes ==== Deprecated the ScheduledSkill and ScheduledCRUDSkill classes. These capabilities have been superceded by the more flexible MycroftSkill class methods schedule_event(), schedule_repeating_event(), update_event(), and cancel_event().
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# 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
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#
Change to Apache 2.0 license from GPLv3.0 This commit officially switches the mycroft-core repository from GPLv3.0 licensing to Apache 2.0. All dependencies on GPL'ed code have been removed and we have contacted all previous contributors with still-existing code in the repository to agree to this change. Going forward, all contributors will sign a Contributor License Agreement (CLA) by visiting https://mycroft.ai/cla, then they will be included in the Mycroft Project's overall Contributor list, found at: https://github.com/MycroftAI/contributors. This cleanly protects the project, the contributor and all who use the technology to build upon. Futher discussion can be found at this blog post: https://mycroft.ai/blog/right-license/ This commit also removes all __author__="" from the code. These lines are painful to maintain and the etiquette surrounding their maintainence is unclear. Do you remove a name from the list if the last line of code the wrote gets replaced? Etc. Now all contributors are publicly acknowledged in the aforementioned repo, and actual authorship is maintained by Github in a much more effective and elegant way! Finally, a few references to "Mycroft AI" were changed to the correct legal entity name "Mycroft AI Inc." ==== Fixed Issues ==== #403 Update License.md and file headers to Apache 2.0 #400 Update LICENSE.md ==== Documentation Notes ==== Deprecated the ScheduledSkill and ScheduledCRUDSkill classes. These capabilities have been superceded by the more flexible MycroftSkill class methods schedule_event(), schedule_repeating_event(), update_event(), and cancel_event().
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# http://www.apache.org/licenses/LICENSE-2.0
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#
Change to Apache 2.0 license from GPLv3.0 This commit officially switches the mycroft-core repository from GPLv3.0 licensing to Apache 2.0. All dependencies on GPL'ed code have been removed and we have contacted all previous contributors with still-existing code in the repository to agree to this change. Going forward, all contributors will sign a Contributor License Agreement (CLA) by visiting https://mycroft.ai/cla, then they will be included in the Mycroft Project's overall Contributor list, found at: https://github.com/MycroftAI/contributors. This cleanly protects the project, the contributor and all who use the technology to build upon. Futher discussion can be found at this blog post: https://mycroft.ai/blog/right-license/ This commit also removes all __author__="" from the code. These lines are painful to maintain and the etiquette surrounding their maintainence is unclear. Do you remove a name from the list if the last line of code the wrote gets replaced? Etc. Now all contributors are publicly acknowledged in the aforementioned repo, and actual authorship is maintained by Github in a much more effective and elegant way! Finally, a few references to "Mycroft AI" were changed to the correct legal entity name "Mycroft AI Inc." ==== Fixed Issues ==== #403 Update License.md and file headers to Apache 2.0 #400 Update LICENSE.md ==== Documentation Notes ==== Deprecated the ScheduledSkill and ScheduledCRUDSkill classes. These capabilities have been superceded by the more flexible MycroftSkill class methods schedule_event(), schedule_repeating_event(), update_event(), and cancel_event().
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# 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.
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#
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"""
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SkillSettings is a simple extension of the python dict which enables
local storage of settings. Additionally it can interact with a backend
system to provide a GUI interface, described by meta-data described in
an optional 'settingsmeta.json' file.
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Usage Example:
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from mycroft.skill.settings import SkillSettings
s = SkillSettings('./settings.json', 'ImportantSettings')
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s['meaning of life'] = 42
s['flower pot sayings'] = 'Not again...'
s.store()
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Metadata format:
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TODO: see https://goo.gl/MY3i1S
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"""
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import json
import subprocess
import hashlib
from threading import Timer
from os.path import isfile, join, expanduser, basename
from mycroft.api import DeviceApi
from mycroft.util.log import LOG
from mycroft.configuration import ConfigurationManager
Change to Apache 2.0 license from GPLv3.0 This commit officially switches the mycroft-core repository from GPLv3.0 licensing to Apache 2.0. All dependencies on GPL'ed code have been removed and we have contacted all previous contributors with still-existing code in the repository to agree to this change. Going forward, all contributors will sign a Contributor License Agreement (CLA) by visiting https://mycroft.ai/cla, then they will be included in the Mycroft Project's overall Contributor list, found at: https://github.com/MycroftAI/contributors. This cleanly protects the project, the contributor and all who use the technology to build upon. Futher discussion can be found at this blog post: https://mycroft.ai/blog/right-license/ This commit also removes all __author__="" from the code. These lines are painful to maintain and the etiquette surrounding their maintainence is unclear. Do you remove a name from the list if the last line of code the wrote gets replaced? Etc. Now all contributors are publicly acknowledged in the aforementioned repo, and actual authorship is maintained by Github in a much more effective and elegant way! Finally, a few references to "Mycroft AI" were changed to the correct legal entity name "Mycroft AI Inc." ==== Fixed Issues ==== #403 Update License.md and file headers to Apache 2.0 #400 Update LICENSE.md ==== Documentation Notes ==== Deprecated the ScheduledSkill and ScheduledCRUDSkill classes. These capabilities have been superceded by the more flexible MycroftSkill class methods schedule_event(), schedule_repeating_event(), update_event(), and cancel_event().
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class SkillSettings(dict):
""" A dictionary that can easily be save to a file, serialized as json. It
also syncs to the backend for skill settings
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Args:
directory (str): Path to storage directory
name (str): user readable name associated with the settings
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"""
def __init__(self, directory, name):
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super(SkillSettings, self).__init__()
self.api = DeviceApi()
self._device_identity = self.api.identity.uuid
self.config = ConfigurationManager.get()
self.name = name
self.directory = directory
# set file paths
self._settings_path = join(directory, 'settings.json')
self._meta_path = join(directory, 'settingsmeta.json')
self._api_path = "/" + self._device_identity + "/skill"
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self.is_alive = True
self.loaded_hash = hash(str(self))
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# if settingsmeta.json exists
# this block of code is a control flow for
# different scenarios that may arises with settingsmeta
if isfile(self._meta_path):
LOG.info("settingsmeta.json exist for {}".format(self.name))
settings_meta = self._load_settings_meta()
hashed_meta = self._get_meta_hash(str(settings_meta))
skill_settings = self._request_other_settings(hashed_meta)
# if hash is new then there is a diff version of settingsmeta
if self._is_new_hash(hashed_meta):
# first look at all other devices on user account to see
# if the settings exist. if it does then sync with this device
if skill_settings is not None:
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# is_synced flags that this settings is loaded from
# another device. If a skill settings doesn't have
# is_synced, then the skill is created from that device
self['is_synced'] = True
self.save_skill_settings(skill_settings)
else: # upload skill settings if other devices do not have it
uuid = self._load_uuid()
if uuid is not None:
self._delete_metadata(uuid)
self._upload_meta(settings_meta, hashed_meta)
else: # hash is not new
if skill_settings is not None:
self['is_synced'] = True
self.save_skill_settings(skill_settings)
else:
settings = self._request_my_settings(hashed_meta)
if settings is None:
LOG.info("seems like it got deleted from home... "
"sending settingsmeta.json for "
"{}".format(self.name))
self._upload_meta(settings_meta, hashed_meta)
else:
self.save_skill_settings(settings)
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t = Timer(60, self._poll_skill_settings, [hashed_meta])
t.daemon = True
t.start()
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self.load_skill_settings()
@property
def _is_stored(self):
return hash(str(self)) == self.loaded_hash
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def __getitem__(self, key):
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""" Get key """
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return super(SkillSettings, self).__getitem__(key)
def __setitem__(self, key, value):
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""" Add/Update key. """
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return super(SkillSettings, self).__setitem__(key, value)
def _load_settings_meta(self):
""" Loads settings metadata from skills path. """
with open(self._meta_path) as f:
data = json.load(f)
return data
def _send_settings_meta(self, settings_meta):
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""" Send settingsmeta.json to the server.
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Args:
settings_meta (dict): dictionary of the current settings meta
Returns:
str: uuid, a unique id for the setting meta data
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"""
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try:
uuid = self._put_metadata(settings_meta)
return uuid
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except Exception as e:
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LOG.error(e)
return None
def save_skill_settings(self, skill_settings):
""" takes skill object and save onto self
Args:
settings (dict): skill
"""
if self._is_new_hash(skill_settings['identifier']):
self._save_uuid(skill_settings['uuid'])
self._save_hash(skill_settings['identifier'])
sections = skill_settings['skillMetadata']['sections']
for section in sections:
for field in section["fields"]:
if "name" in field: # no name for 'label' fields
self[field['name']] = field['value']
self.store()
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def _load_uuid(self):
""" Loads uuid
Returns:
str: uuid of the previous settingsmeta
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"""
directory = self.config.get("skills")["directory"]
directory = join(directory, self.name)
directory = expanduser(directory)
uuid_file = join(directory, 'uuid')
uuid = None
if isfile(uuid_file):
with open(uuid_file, 'r') as f:
uuid = f.read()
return uuid
def _save_uuid(self, uuid):
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""" Saves uuid.
Args:
str: uuid, unique id of new settingsmeta
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"""
LOG.info("saving uuid {}".format(str(uuid)))
directory = self.config.get("skills")["directory"]
directory = join(directory, self.name)
directory = expanduser(directory)
uuid_file = join(directory, 'uuid')
with open(uuid_file, 'w') as f:
f.write(str(uuid))
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def _uuid_exist(self):
""" Checks if there is an uuid file.
Returns:
bool: True if uuid file exist False otherwise
"""
directory = self.config.get("skills")["directory"]
directory = join(directory, self.name)
directory = expanduser(directory)
uuid_file = join(directory, 'uuid')
return isfile(uuid_file)
def _migrate_settings(self, settings_meta):
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""" sync settings.json and settingsmeta.json in memory """
meta = settings_meta.copy()
sections = meta['skillMetadata']['sections']
for i, section in enumerate(sections):
for j, field in enumerate(section['fields']):
if 'name' in field:
if field["name"] in self:
sections[i]['fields'][j]["value"] = self['name']
meta['skillMetadata']['sections'] = sections
return meta
def _upload_meta(self, settings_meta, hashed_meta):
""" uploads the new meta data to settings with settings migration
Args:
settings_meta (dict): settingsmeta.json
hashed_meta (str): {skill-folder}-settinsmeta.json
"""
LOG.info("sending settingsmeta.json for {}".format(self.name) +
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" to servers")
meta = self._migrate_settings(settings_meta)
meta['identifier'] = str(hashed_meta)
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response = self._send_settings_meta(meta)
self._save_uuid(response['uuid'])
self._save_hash(hashed_meta)
def _delete_old_meta(self):
"""" Deletes the old meta data """
if self._uuid_exist():
try:
LOG.info("a uuid exist for {}".format(self.name) +
" deleting old one")
old_uuid = self._load_uuid()
self._delete_metatdata(old_uuid)
except Exception as e:
LOG.info(e)
def hash(self, str):
""" md5 hasher for consistency across cpu architectures """
return hashlib.md5(str).hexdigest()
def _get_meta_hash(self, settings_meta):
""" Get's the hash of skill
Args:
settings_meta (str): stringified settingsmeta
Returns:
_hash (str): hashed to identify skills
"""
return "{}-{}".format(
basename(self.directory),
self.hash(str(settings_meta)))
def _save_hash(self, hashed_meta):
""" Saves hashed_meta to settings directory.
Args:
hashed_meta (int): hash of new settingsmeta
"""
LOG.info("saving hash {}".format(str(hashed_meta)))
directory = self.config.get("skills")["directory"]
directory = join(directory, self.name)
directory = expanduser(directory)
hash_file = join(directory, 'hash')
with open(hash_file, 'w') as f:
f.write(str(hashed_meta))
def _is_new_hash(self, hashed_meta):
""" checks if the stored hash is the same as current.
if the hashed file does not exist, usually in the
case of first load, then the create it and return True
Args:
hashed_meta (int): hash of metadata and uuid of device
Returns:
bool: True if hash is new, otherwise False
"""
directory = self.config.get("skills")["directory"]
directory = join(directory, self.name)
directory = expanduser(directory)
hash_file = join(directory, 'hash')
if isfile(hash_file):
with open(hash_file, 'r') as f:
current_hash = f.read()
return False if current_hash == str(hashed_meta) else True
return True
def update(self):
""" update settings state from server """
skills_settings = None
if self.get('is_synced'):
skills_settings = self._request_other_settings(hashed_meta)
if not skills_settings:
skills_settings = self._request_my_settings(hashed_meta)
if skills_settings is not None:
self.save_skill_settings(skills_settings)
self.store()
def _poll_skill_settings(self, hashed_meta):
""" If identifier exists for this skill poll to backend to
request settings and store it if it changes
TODO: implement as websocket
Args:
hashed_meta (int): the hashed identifier
"""
skills_settings = None
if self.get('is_synced'):
skills_settings = self._request_other_settings(hashed_meta)
if not skills_settings:
skills_settings = self._request_my_settings(hashed_meta)
if skills_settings is not None:
self.save_skill_settings(skills_settings)
self.store()
else:
settings_meta = self._load_settings_meta()
self._upload_meta(settings_meta, hashed_meta)
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if self.is_alive:
# continues to poll settings every 60 seconds
t = Timer(60, self._poll_skill_settings, [hashed_meta])
t.daemon = True
t.start()
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def load_skill_settings(self):
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""" If settings.json exist, open and read stored values into self """
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if isfile(self._settings_path):
with open(self._settings_path) as f:
try:
json_data = json.load(f)
for key in json_data:
self[key] = json_data[key]
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except Exception as e:
# TODO: Show error on webUI. Dev will have to fix
# metadata to be able to edit later.
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LOG.error(e)
def _request_my_settings(self, identifier):
""" Get skill settings for this device associated
with the identifier
Args:
identifier (str): a hashed_meta
Returns:
skill_settings (dict or None): returns a dict if matches
"""
LOG.info("getting skill settings from "
"server for {}".format(self.name))
settings = self._request_settings()
# this loads the settings into memory for use in self.store
for skill_settings in settings:
if skill_settings['identifier'] == identifier:
self._remote_settings = skill_settings
return skill_settings
return None
def _request_settings(self):
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""" Get all skill settings for this device from server.
Returns:
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dict: dictionary with settings collected from the server.
"""
settings = self.api.request({
"method": "GET",
"path": self._api_path
})
settings = [skills for skills in settings if skills is not None]
return settings
def _request_other_settings(self, identifier):
""" Retrieves user skill from other devices by identifier (hashed_meta)
Args:
indentifier (str): identifier for this skill
Returns:
settings (dict or None): returns the settings if true else None
"""
LOG.info(
"syncing settings with other devices "
"from server for {}".format(self.name))
path = \
"/" + self._device_identity + "/userSkill?identifier=" + identifier
user_skill = self.api.request({
"method": "GET",
"path": path
})
if len(user_skill) == 0:
return None
else:
return user_skill[0]
def _put_metadata(self, settings_meta):
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""" PUT settingsmeta to backend to be configured in server.
used in place of POST and PATCH.
Args:
settings_meta (dict): dictionary of the current settings meta
data
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"""
return self.api.request({
"method": "PUT",
"path": self._api_path,
"json": settings_meta
})
def _delete_metadata(self, uuid):
""" Deletes the current skill metadata
Args:
uuid (str): unique id of the skill
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"""
try:
LOG.info("deleting metadata")
self.api.request({
"method": "DELETE",
"path": self._api_path + "/{}".format(uuid)
})
except Exception as e:
LOG.error(e)
LOG.info(
"cannot delete metadata because this"
"device is not original uploader of skill")
@property
def _should_upload_from_change(self):
changed = False
if hasattr(self, '_remote_settings'):
sections = self._remote_settings['skillMetadata']['sections']
for i, section in enumerate(sections):
for j, field in enumerate(section['fields']):
if 'name' in field:
if field["name"] in self:
remote_val = sections[i]['fields'][j]["value"]
self_val = self.get(field['name'])
if str(remote_val) != str(self_val):
changed = True
return changed
def store(self, force=False):
""" Store dictionary to file if a change has occured.
Args:
force: Force write despite no change
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"""
if force or not self._is_stored:
with open(self._settings_path, 'w') as f:
json.dump(self, f)
self.loaded_hash = hash(str(self))
if self._should_upload_from_change:
settings_meta = self._load_settings_meta()
hashed_meta = self._get_meta_hash(settings_meta)
uuid = self._load_uuid()
if uuid is not None:
LOG.info("deleting meata data for {}".format(self.name))
self._delete_metadata(uuid)
self._upload_meta(settings_meta, hashed_meta)