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|
# Copyright (C) 2012 Canonical Ltd.
# Copyright (C) 2012 Hewlett-Packard Development Company, L.P.
# Copyright (C) 2012 Yahoo! Inc.
#
# Author: Scott Moser <scott.moser@canonical.com>
# Author: Juerg Haefliger <juerg.haefliger@hp.com>
# Author: Joshua Harlow <harlowja@yahoo-inc.com>
#
# This file is part of cloud-init. See LICENSE file for license information.
import abc
from collections import namedtuple
import copy
import json
import os
import six
from cloudinit.atomic_helper import write_json
from cloudinit import importer
from cloudinit import log as logging
from cloudinit import net
from cloudinit.event import EventType
from cloudinit import type_utils
from cloudinit import user_data as ud
from cloudinit import util
from cloudinit.filters import launch_index
from cloudinit.reporting import events
DSMODE_DISABLED = "disabled"
DSMODE_LOCAL = "local"
DSMODE_NETWORK = "net"
DSMODE_PASS = "pass"
VALID_DSMODES = [DSMODE_DISABLED, DSMODE_LOCAL, DSMODE_NETWORK]
DEP_FILESYSTEM = "FILESYSTEM"
DEP_NETWORK = "NETWORK"
DS_PREFIX = 'DataSource'
EXPERIMENTAL_TEXT = (
"EXPERIMENTAL: The structure and format of content scoped under the 'ds'"
" key may change in subsequent releases of cloud-init.")
# File in which public available instance meta-data is written
# security-sensitive key values are redacted from this world-readable file
INSTANCE_JSON_FILE = 'instance-data.json'
# security-sensitive key values are present in this root-readable file
INSTANCE_JSON_SENSITIVE_FILE = 'instance-data-sensitive.json'
REDACT_SENSITIVE_VALUE = 'redacted for non-root user'
# Key which can be provide a cloud's official product name to cloud-init
METADATA_CLOUD_NAME_KEY = 'cloud-name'
UNSET = "_unset"
METADATA_UNKNOWN = 'unknown'
LOG = logging.getLogger(__name__)
# CLOUD_ID_REGION_PREFIX_MAP format is:
# <region-match-prefix>: (<new-cloud-id>: <test_allowed_cloud_callable>)
CLOUD_ID_REGION_PREFIX_MAP = {
'cn-': ('aws-china', lambda c: c == 'aws'), # only change aws regions
'us-gov-': ('aws-gov', lambda c: c == 'aws'), # only change aws regions
'china': ('azure-china', lambda c: c == 'azure'), # only change azure
}
class DataSourceNotFoundException(Exception):
pass
class InvalidMetaDataException(Exception):
"""Raised when metadata is broken, unavailable or disabled."""
pass
def process_instance_metadata(metadata, key_path='', sensitive_keys=()):
"""Process all instance metadata cleaning it up for persisting as json.
Strip ci-b64 prefix and catalog any 'base64_encoded_keys' as a list
@return Dict copy of processed metadata.
"""
md_copy = copy.deepcopy(metadata)
md_copy['base64_encoded_keys'] = []
md_copy['sensitive_keys'] = []
for key, val in metadata.items():
if key_path:
sub_key_path = key_path + '/' + key
else:
sub_key_path = key
if key in sensitive_keys or sub_key_path in sensitive_keys:
md_copy['sensitive_keys'].append(sub_key_path)
if isinstance(val, str) and val.startswith('ci-b64:'):
md_copy['base64_encoded_keys'].append(sub_key_path)
md_copy[key] = val.replace('ci-b64:', '')
if isinstance(val, dict):
return_val = process_instance_metadata(
val, sub_key_path, sensitive_keys)
md_copy['base64_encoded_keys'].extend(
return_val.pop('base64_encoded_keys'))
md_copy['sensitive_keys'].extend(
return_val.pop('sensitive_keys'))
md_copy[key] = return_val
return md_copy
def redact_sensitive_keys(metadata, redact_value=REDACT_SENSITIVE_VALUE):
"""Redact any sensitive keys from to provided metadata dictionary.
Replace any keys values listed in 'sensitive_keys' with redact_value.
"""
if not metadata.get('sensitive_keys', []):
return metadata
md_copy = copy.deepcopy(metadata)
for key_path in metadata.get('sensitive_keys'):
path_parts = key_path.split('/')
obj = md_copy
for path in path_parts:
if isinstance(obj[path], dict) and path != path_parts[-1]:
obj = obj[path]
obj[path] = redact_value
return md_copy
URLParams = namedtuple(
'URLParms', ['max_wait_seconds', 'timeout_seconds', 'num_retries'])
@six.add_metaclass(abc.ABCMeta)
class DataSource(object):
dsmode = DSMODE_NETWORK
default_locale = 'en_US.UTF-8'
# Datasource name needs to be set by subclasses to determine which
# cloud-config datasource key is loaded
dsname = '_undef'
# Cached cloud_name as determined by _get_cloud_name
_cloud_name = None
# Cached cloud platform api type: e.g. ec2, openstack, kvm, lxd, azure etc.
_platform_type = None
# More details about the cloud platform:
# - metadata (http://169.254.169.254/)
# - seed-dir (<dirname>)
_subplatform = None
# Track the discovered fallback nic for use in configuration generation.
_fallback_interface = None
# read_url_params
url_max_wait = -1 # max_wait < 0 means do not wait
url_timeout = 10 # timeout for each metadata url read attempt
url_retries = 5 # number of times to retry url upon 404
# The datasource defines a set of supported EventTypes during which
# the datasource can react to changes in metadata and regenerate
# network configuration on metadata changes.
# A datasource which supports writing network config on each system boot
# would call update_events['network'].add(EventType.BOOT).
# Default: generate network config on new instance id (first boot).
update_events = {'network': set([EventType.BOOT_NEW_INSTANCE])}
# N-tuple listing default values for any metadata-related class
# attributes cached on an instance by a process_data runs. These attribute
# values are reset via clear_cached_attrs during any update_metadata call.
cached_attr_defaults = (
('ec2_metadata', UNSET), ('network_json', UNSET),
('metadata', {}), ('userdata', None), ('userdata_raw', None),
('vendordata', None), ('vendordata_raw', None))
_dirty_cache = False
# N-tuple of keypaths or keynames redact from instance-data.json for
# non-root users
sensitive_metadata_keys = ('security-credentials',)
def __init__(self, sys_cfg, distro, paths, ud_proc=None):
self.sys_cfg = sys_cfg
self.distro = distro
self.paths = paths
self.userdata = None
self.metadata = {}
self.userdata_raw = None
self.vendordata = None
self.vendordata_raw = None
self.ds_cfg = util.get_cfg_by_path(
self.sys_cfg, ("datasource", self.dsname), {})
if not self.ds_cfg:
self.ds_cfg = {}
if not ud_proc:
self.ud_proc = ud.UserDataProcessor(self.paths)
else:
self.ud_proc = ud_proc
def __str__(self):
return type_utils.obj_name(self)
def _get_standardized_metadata(self):
"""Return a dictionary of standardized metadata keys."""
local_hostname = self.get_hostname()
instance_id = self.get_instance_id()
availability_zone = self.availability_zone
# In the event of upgrade from existing cloudinit, pickled datasource
# will not contain these new class attributes. So we need to recrawl
# metadata to discover that content.
return {
'v1': {
'_beta_keys': ['subplatform'],
'availability-zone': availability_zone,
'availability_zone': availability_zone,
'cloud-name': self.cloud_name,
'cloud_name': self.cloud_name,
'platform': self.platform_type,
'public_ssh_keys': self.get_public_ssh_keys(),
'instance-id': instance_id,
'instance_id': instance_id,
'local-hostname': local_hostname,
'local_hostname': local_hostname,
'region': self.region,
'subplatform': self.subplatform}}
def clear_cached_attrs(self, attr_defaults=()):
"""Reset any cached metadata attributes to datasource defaults.
@param attr_defaults: Optional tuple of (attr, value) pairs to
set instead of cached_attr_defaults.
"""
if not self._dirty_cache:
return
if attr_defaults:
attr_values = attr_defaults
else:
attr_values = self.cached_attr_defaults
for attribute, value in attr_values:
if hasattr(self, attribute):
setattr(self, attribute, value)
if not attr_defaults:
self._dirty_cache = False
def get_data(self):
"""Datasources implement _get_data to setup metadata and userdata_raw.
Minimally, the datasource should return a boolean True on success.
"""
self._dirty_cache = True
return_value = self._get_data()
if not return_value:
return return_value
self.persist_instance_data()
return return_value
def persist_instance_data(self):
"""Process and write INSTANCE_JSON_FILE with all instance metadata.
Replace any hyphens with underscores in key names for use in template
processing.
@return True on successful write, False otherwise.
"""
if hasattr(self, '_crawled_metadata'):
# Any datasource with _crawled_metadata will best represent
# most recent, 'raw' metadata
crawled_metadata = copy.deepcopy(
getattr(self, '_crawled_metadata'))
crawled_metadata.pop('user-data', None)
crawled_metadata.pop('vendor-data', None)
instance_data = {'ds': crawled_metadata}
else:
instance_data = {'ds': {'meta_data': self.metadata}}
if hasattr(self, 'network_json'):
network_json = getattr(self, 'network_json')
if network_json != UNSET:
instance_data['ds']['network_json'] = network_json
if hasattr(self, 'ec2_metadata'):
ec2_metadata = getattr(self, 'ec2_metadata')
if ec2_metadata != UNSET:
instance_data['ds']['ec2_metadata'] = ec2_metadata
instance_data.update(
self._get_standardized_metadata())
instance_data['ds']['_doc'] = EXPERIMENTAL_TEXT
try:
# Process content base64encoding unserializable values
content = util.json_dumps(instance_data)
# Strip base64: prefix and set base64_encoded_keys list.
processed_data = process_instance_metadata(
json.loads(content),
sensitive_keys=self.sensitive_metadata_keys)
except TypeError as e:
LOG.warning('Error persisting instance-data.json: %s', str(e))
return False
except UnicodeDecodeError as e:
LOG.warning('Error persisting instance-data.json: %s', str(e))
return False
json_file = os.path.join(self.paths.run_dir, INSTANCE_JSON_FILE)
write_json(json_file, processed_data) # World readable
json_sensitive_file = os.path.join(self.paths.run_dir,
INSTANCE_JSON_SENSITIVE_FILE)
write_json(json_sensitive_file,
redact_sensitive_keys(processed_data), mode=0o600)
return True
def _get_data(self):
"""Walk metadata sources, process crawled data and save attributes."""
raise NotImplementedError(
'Subclasses of DataSource must implement _get_data which'
' sets self.metadata, vendordata_raw and userdata_raw.')
def get_url_params(self):
"""Return the Datasource's prefered url_read parameters.
Subclasses may override url_max_wait, url_timeout, url_retries.
@return: A URLParams object with max_wait_seconds, timeout_seconds,
num_retries.
"""
max_wait = self.url_max_wait
try:
max_wait = int(self.ds_cfg.get("max_wait", self.url_max_wait))
except ValueError:
util.logexc(
LOG, "Config max_wait '%s' is not an int, using default '%s'",
self.ds_cfg.get("max_wait"), max_wait)
timeout = self.url_timeout
try:
timeout = max(
0, int(self.ds_cfg.get("timeout", self.url_timeout)))
except ValueError:
timeout = self.url_timeout
util.logexc(
LOG, "Config timeout '%s' is not an int, using default '%s'",
self.ds_cfg.get('timeout'), timeout)
retries = self.url_retries
try:
retries = int(self.ds_cfg.get("retries", self.url_retries))
except Exception:
util.logexc(
LOG, "Config retries '%s' is not an int, using default '%s'",
self.ds_cfg.get('retries'), retries)
return URLParams(max_wait, timeout, retries)
def get_userdata(self, apply_filter=False):
if self.userdata is None:
self.userdata = self.ud_proc.process(self.get_userdata_raw())
if apply_filter:
return self._filter_xdata(self.userdata)
return self.userdata
def get_vendordata(self):
if self.vendordata is None:
self.vendordata = self.ud_proc.process(self.get_vendordata_raw())
return self.vendordata
@property
def fallback_interface(self):
"""Determine the network interface used during local network config."""
if self._fallback_interface is None:
self._fallback_interface = net.find_fallback_nic()
if self._fallback_interface is None:
LOG.warning(
"Did not find a fallback interface on %s.",
self.cloud_name)
return self._fallback_interface
@property
def platform_type(self):
if not hasattr(self, '_platform_type'):
# Handle upgrade path where pickled datasource has no _platform.
self._platform_type = self.dsname.lower()
if not self._platform_type:
self._platform_type = self.dsname.lower()
return self._platform_type
@property
def subplatform(self):
"""Return a string representing subplatform details for the datasource.
This should be guidance for where the metadata is sourced.
Examples of this on different clouds:
ec2: metadata (http://169.254.169.254)
openstack: configdrive (/dev/path)
openstack: metadata (http://169.254.169.254)
nocloud: seed-dir (/seed/dir/path)
lxd: nocloud (/seed/dir/path)
"""
if not hasattr(self, '_subplatform'):
# Handle upgrade path where pickled datasource has no _platform.
self._subplatform = self._get_subplatform()
if not self._subplatform:
self._subplatform = self._get_subplatform()
return self._subplatform
def _get_subplatform(self):
"""Subclasses should implement to return a "slug (detail)" string."""
if hasattr(self, 'metadata_address'):
return 'metadata (%s)' % getattr(self, 'metadata_address')
return METADATA_UNKNOWN
@property
def cloud_name(self):
"""Return lowercase cloud name as determined by the datasource.
Datasource can determine or define its own cloud product name in
metadata.
"""
if self._cloud_name:
return self._cloud_name
if self.metadata and self.metadata.get(METADATA_CLOUD_NAME_KEY):
cloud_name = self.metadata.get(METADATA_CLOUD_NAME_KEY)
if isinstance(cloud_name, six.string_types):
self._cloud_name = cloud_name.lower()
else:
self._cloud_name = self._get_cloud_name().lower()
LOG.debug(
'Ignoring metadata provided key %s: non-string type %s',
METADATA_CLOUD_NAME_KEY, type(cloud_name))
else:
self._cloud_name = self._get_cloud_name().lower()
return self._cloud_name
def _get_cloud_name(self):
"""Return the datasource name as it frequently matches cloud name.
Should be overridden in subclasses which can run on multiple
cloud names, such as DatasourceEc2.
"""
return self.dsname
@property
def launch_index(self):
if not self.metadata:
return None
if 'launch-index' in self.metadata:
return self.metadata['launch-index']
return None
def _filter_xdata(self, processed_ud):
filters = [
launch_index.Filter(util.safe_int(self.launch_index)),
]
new_ud = processed_ud
for f in filters:
new_ud = f.apply(new_ud)
return new_ud
@property
def is_disconnected(self):
return False
def get_userdata_raw(self):
return self.userdata_raw
def get_vendordata_raw(self):
return self.vendordata_raw
# the data sources' config_obj is a cloud-config formated
# object that came to it from ways other than cloud-config
# because cloud-config content would be handled elsewhere
def get_config_obj(self):
return {}
def get_public_ssh_keys(self):
return normalize_pubkey_data(self.metadata.get('public-keys'))
def _remap_device(self, short_name):
# LP: #611137
# the metadata service may believe that devices are named 'sda'
# when the kernel named them 'vda' or 'xvda'
# we want to return the correct value for what will actually
# exist in this instance
mappings = {"sd": ("vd", "xvd", "vtb")}
for (nfrom, tlist) in mappings.items():
if not short_name.startswith(nfrom):
continue
for nto in tlist:
cand = "/dev/%s%s" % (nto, short_name[len(nfrom):])
if os.path.exists(cand):
return cand
return None
def device_name_to_device(self, _name):
# translate a 'name' to a device
# the primary function at this point is on ec2
# to consult metadata service, that has
# ephemeral0: sdb
# and return 'sdb' for input 'ephemeral0'
return None
def get_locale(self):
"""Default locale is en_US.UTF-8, but allow distros to override"""
locale = self.default_locale
try:
locale = self.distro.get_locale()
except NotImplementedError:
pass
return locale
@property
def availability_zone(self):
top_level_az = self.metadata.get(
'availability-zone', self.metadata.get('availability_zone'))
if top_level_az:
return top_level_az
return self.metadata.get('placement', {}).get('availability-zone')
@property
def region(self):
return self.metadata.get('region')
def get_instance_id(self):
if not self.metadata or 'instance-id' not in self.metadata:
# Return a magic not really instance id string
return "iid-datasource"
return str(self.metadata['instance-id'])
def get_hostname(self, fqdn=False, resolve_ip=False, metadata_only=False):
"""Get hostname or fqdn from the datasource. Look it up if desired.
@param fqdn: Boolean, set True to return hostname with domain.
@param resolve_ip: Boolean, set True to attempt to resolve an ipv4
address provided in local-hostname meta-data.
@param metadata_only: Boolean, set True to avoid looking up hostname
if meta-data doesn't have local-hostname present.
@return: hostname or qualified hostname. Optionally return None when
metadata_only is True and local-hostname data is not available.
"""
defdomain = "localdomain"
defhost = "localhost"
domain = defdomain
if not self.metadata or 'local-hostname' not in self.metadata:
if metadata_only:
return None
# this is somewhat questionable really.
# the cloud datasource was asked for a hostname
# and didn't have one. raising error might be more appropriate
# but instead, basically look up the existing hostname
toks = []
hostname = util.get_hostname()
hosts_fqdn = util.get_fqdn_from_hosts(hostname)
if hosts_fqdn and hosts_fqdn.find(".") > 0:
toks = str(hosts_fqdn).split(".")
elif hostname and hostname.find(".") > 0:
toks = str(hostname).split(".")
elif hostname:
toks = [hostname, defdomain]
else:
toks = [defhost, defdomain]
else:
# if there is an ipv4 address in 'local-hostname', then
# make up a hostname (LP: #475354) in format ip-xx.xx.xx.xx
lhost = self.metadata['local-hostname']
if util.is_ipv4(lhost):
toks = []
if resolve_ip:
toks = util.gethostbyaddr(lhost)
if toks:
toks = str(toks).split('.')
else:
toks = ["ip-%s" % lhost.replace(".", "-")]
else:
toks = lhost.split(".")
if len(toks) > 1:
hostname = toks[0]
domain = '.'.join(toks[1:])
else:
hostname = toks[0]
if fqdn and domain != defdomain:
return "%s.%s" % (hostname, domain)
else:
return hostname
def get_package_mirror_info(self):
return self.distro.get_package_mirror_info(data_source=self)
def update_metadata(self, source_event_types):
"""Refresh cached metadata if the datasource supports this event.
The datasource has a list of update_events which
trigger refreshing all cached metadata as well as refreshing the
network configuration.
@param source_event_types: List of EventTypes which may trigger a
metadata update.
@return True if the datasource did successfully update cached metadata
due to source_event_type.
"""
supported_events = {}
for event in source_event_types:
for update_scope, update_events in self.update_events.items():
if event in update_events:
if not supported_events.get(update_scope):
supported_events[update_scope] = set()
supported_events[update_scope].add(event)
for scope, matched_events in supported_events.items():
LOG.debug(
"Update datasource metadata and %s config due to events: %s",
scope, ', '.join(matched_events))
# Each datasource has a cached config property which needs clearing
# Once cleared that config property will be regenerated from
# current metadata.
self.clear_cached_attrs((('_%s_config' % scope, UNSET),))
if supported_events:
self.clear_cached_attrs()
result = self.get_data()
if result:
return True
LOG.debug("Datasource %s not updated for events: %s", self,
', '.join(source_event_types))
return False
def check_instance_id(self, sys_cfg):
# quickly (local check only) if self.instance_id is still
return False
@staticmethod
def _determine_dsmode(candidates, default=None, valid=None):
# return the first candidate that is non None, warn if not valid
if default is None:
default = DSMODE_NETWORK
if valid is None:
valid = VALID_DSMODES
for candidate in candidates:
if candidate is None:
continue
if candidate in valid:
return candidate
else:
LOG.warning("invalid dsmode '%s', using default=%s",
candidate, default)
return default
return default
@property
def network_config(self):
return None
@property
def first_instance_boot(self):
return
def setup(self, is_new_instance):
"""setup(is_new_instance)
This is called before user-data and vendor-data have been processed.
Unless the datasource has set mode to 'local', then networking
per 'fallback' or per 'network_config' will have been written and
brought up the OS at this point.
"""
return
def activate(self, cfg, is_new_instance):
"""activate(cfg, is_new_instance)
This is called before the init_modules will be called but after
the user-data and vendor-data have been fully processed.
The cfg is fully up to date config, it contains a merged view of
system config, datasource config, user config, vendor config.
It should be used rather than the sys_cfg passed to __init__.
is_new_instance is a boolean indicating if this is a new instance.
"""
return
def normalize_pubkey_data(pubkey_data):
keys = []
if not pubkey_data:
return keys
if isinstance(pubkey_data, six.string_types):
return str(pubkey_data).splitlines()
if isinstance(pubkey_data, (list, set)):
return list(pubkey_data)
if isinstance(pubkey_data, (dict)):
for (_keyname, klist) in pubkey_data.items():
# lp:506332 uec metadata service responds with
# data that makes boto populate a string for 'klist' rather
# than a list.
if isinstance(klist, six.string_types):
klist = [klist]
if isinstance(klist, (list, set)):
for pkey in klist:
# There is an empty string at
# the end of the keylist, trim it
if pkey:
keys.append(pkey)
return keys
def find_source(sys_cfg, distro, paths, ds_deps, cfg_list, pkg_list, reporter):
ds_list = list_sources(cfg_list, ds_deps, pkg_list)
ds_names = [type_utils.obj_name(f) for f in ds_list]
mode = "network" if DEP_NETWORK in ds_deps else "local"
LOG.debug("Searching for %s data source in: %s", mode, ds_names)
for name, cls in zip(ds_names, ds_list):
myrep = events.ReportEventStack(
name="search-%s" % name.replace("DataSource", ""),
description="searching for %s data from %s" % (mode, name),
message="no %s data found from %s" % (mode, name),
parent=reporter)
try:
with myrep:
LOG.debug("Seeing if we can get any data from %s", cls)
s = cls(sys_cfg, distro, paths)
if s.update_metadata([EventType.BOOT_NEW_INSTANCE]):
myrep.message = "found %s data from %s" % (mode, name)
return (s, type_utils.obj_name(cls))
except Exception:
util.logexc(LOG, "Getting data from %s failed", cls)
msg = ("Did not find any data source,"
" searched classes: (%s)") % (", ".join(ds_names))
raise DataSourceNotFoundException(msg)
# Return a list of classes that have the same depends as 'depends'
# iterate through cfg_list, loading "DataSource*" modules
# and calling their "get_datasource_list".
# Return an ordered list of classes that match (if any)
def list_sources(cfg_list, depends, pkg_list):
src_list = []
LOG.debug(("Looking for data source in: %s,"
" via packages %s that matches dependencies %s"),
cfg_list, pkg_list, depends)
for ds_name in cfg_list:
if not ds_name.startswith(DS_PREFIX):
ds_name = '%s%s' % (DS_PREFIX, ds_name)
m_locs, _looked_locs = importer.find_module(ds_name,
pkg_list,
['get_datasource_list'])
for m_loc in m_locs:
mod = importer.import_module(m_loc)
lister = getattr(mod, "get_datasource_list")
matches = lister(depends)
if matches:
src_list.extend(matches)
break
return src_list
def instance_id_matches_system_uuid(instance_id, field='system-uuid'):
# quickly (local check only) if self.instance_id is still valid
# we check kernel command line or files.
if not instance_id:
return False
dmi_value = util.read_dmi_data(field)
if not dmi_value:
return False
return instance_id.lower() == dmi_value.lower()
def canonical_cloud_id(cloud_name, region, platform):
"""Lookup the canonical cloud-id for a given cloud_name and region."""
if not cloud_name:
cloud_name = METADATA_UNKNOWN
if not region:
region = METADATA_UNKNOWN
if region == METADATA_UNKNOWN:
if cloud_name != METADATA_UNKNOWN:
return cloud_name
return platform
for prefix, cloud_id_test in CLOUD_ID_REGION_PREFIX_MAP.items():
(cloud_id, valid_cloud) = cloud_id_test
if region.startswith(prefix) and valid_cloud(cloud_name):
return cloud_id
if cloud_name != METADATA_UNKNOWN:
return cloud_name
return platform
def convert_vendordata(data, recurse=True):
"""data: a loaded object (strings, arrays, dicts).
return something suitable for cloudinit vendordata_raw.
if data is:
None: return None
string: return string
list: return data
the list is then processed in UserDataProcessor
dict: return convert_vendordata(data.get('cloud-init'))
"""
if not data:
return None
if isinstance(data, six.string_types):
return data
if isinstance(data, list):
return copy.deepcopy(data)
if isinstance(data, dict):
if recurse is True:
return convert_vendordata(data.get('cloud-init'),
recurse=False)
raise ValueError("vendordata['cloud-init'] cannot be dict")
raise ValueError("Unknown data type for vendordata: %s" % type(data))
class BrokenMetadata(IOError):
pass
# 'depends' is a list of dependencies (DEP_FILESYSTEM)
# ds_list is a list of 2 item lists
# ds_list = [
# ( class, ( depends-that-this-class-needs ) )
# }
# It returns a list of 'class' that matched these deps exactly
# It mainly is a helper function for DataSourceCollections
def list_from_depends(depends, ds_list):
ret_list = []
depset = set(depends)
for (cls, deps) in ds_list:
if depset == set(deps):
ret_list.append(cls)
return ret_list
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