# Copyright (C) 2012 Canonical Ltd. # Copyright (C) 2012 Hewlett-Packard Development Company, L.P. # Copyright (C) 2012 Yahoo! Inc. # # Author: Scott Moser # Author: Juerg Haefliger # Author: Joshua Harlow # # This file is part of cloud-init. See LICENSE file for license information. import abc import copy import json import os from collections import namedtuple from typing import Dict, List # noqa: F401 from cloudinit import dmi, importer from cloudinit import log as logging from cloudinit import net, type_utils from cloudinit import user_data as ud from cloudinit import util from cloudinit.atomic_helper import write_json from cloudinit.distros import Distro from cloudinit.event import EventScope, EventType from cloudinit.filters import launch_index from cloudinit.persistence import CloudInitPickleMixin 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: # : (: ) 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 } # NetworkConfigSource represents the canonical list of network config sources # that cloud-init knows about. (Python 2.7 lacks PEP 435, so use a singleton # namedtuple as an enum; see https://stackoverflow.com/a/6971002) _NETCFG_SOURCE_NAMES = ("cmdline", "ds", "system_cfg", "fallback", "initramfs") NetworkConfigSource = namedtuple("NetworkConfigSource", _NETCFG_SOURCE_NAMES)( *_NETCFG_SOURCE_NAMES ) class DatasourceUnpickleUserDataError(Exception): """Raised when userdata is unable to be unpickled due to python upgrades""" class DataSourceNotFoundException(Exception): pass class InvalidMetaDataException(Exception): """Raised when metadata is broken, unavailable or disabled.""" 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) base64_encoded_keys = [] sens_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: sens_keys.append(sub_key_path) if isinstance(val, str) and val.startswith("ci-b64:"): 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 ) base64_encoded_keys.extend(return_val.pop("base64_encoded_keys")) sens_keys.extend(return_val.pop("sensitive_keys")) md_copy[key] = return_val md_copy["base64_encoded_keys"] = sorted(base64_encoded_keys) md_copy["sensitive_keys"] = sorted(sens_keys) 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", "sec_between_retries", ], ) class DataSource(CloudInitPickleMixin, metaclass=abc.ABCMeta): 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 () _subplatform = None # Track the discovered fallback nic for use in configuration generation. _fallback_interface = None # The network configuration sources that should be considered for this data # source. (The first source in this list that provides network # configuration will be used without considering any that follow.) This # should always be a subset of the members of NetworkConfigSource with no # duplicate entries. network_config_sources = ( NetworkConfigSource.cmdline, NetworkConfigSource.initramfs, NetworkConfigSource.system_cfg, NetworkConfigSource.ds, ) # 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 url_sec_between_retries = 1 # amount of seconds to wait between retries # 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. These are defined in # `supported_network_events`. # The datasource also defines a set of default EventTypes that the # datasource can react to. These are the event types that will be used # if not overridden by the user. # A datasource requiring to write network config on each system boot # would call default_update_events['network'].add(EventType.BOOT). # Default: generate network config on new instance id (first boot). supported_update_events = { EventScope.NETWORK: { EventType.BOOT_NEW_INSTANCE, EventType.BOOT, EventType.BOOT_LEGACY, EventType.HOTPLUG, } } default_update_events = { EventScope.NETWORK: { 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), ("vendordata2", None), ("vendordata2_raw", None), ) _dirty_cache = False # N-tuple of keypaths or keynames redact from instance-data.json for # non-root users sensitive_metadata_keys = ( "merged_cfg", "security-credentials", ) _ci_pkl_version = 1 def __init__(self, sys_cfg, distro: 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.vendordata2 = None self.vendordata_raw = None self.vendordata2_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 _unpickle(self, ci_pkl_version: int) -> None: """Perform deserialization fixes for Paths.""" if not hasattr(self, "vendordata2"): self.vendordata2 = None if not hasattr(self, "vendordata2_raw"): self.vendordata2_raw = None if hasattr(self, "userdata") and self.userdata is not None: # If userdata stores MIME data, on < python3.6 it will be # missing the 'policy' attribute that exists on >=python3.6. # Calling str() on the userdata will attempt to access this # policy attribute. This will raise an exception, causing # the pickle load to fail, so cloud-init will discard the cache try: str(self.userdata) except AttributeError as e: LOG.debug( "Unable to unpickle datasource: %s." " Ignoring current cache.", e, ) raise DatasourceUnpickleUserDataError() from e def __str__(self): return type_utils.obj_name(self) def _get_standardized_metadata(self, instance_data): """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 sysinfo = instance_data["sys_info"] return { "v1": { "_beta_keys": ["subplatform"], "availability-zone": availability_zone, "availability_zone": availability_zone, "cloud-name": self.cloud_name, "cloud_name": self.cloud_name, "distro": sysinfo["dist"][0], "distro_version": sysinfo["dist"][1], "distro_release": sysinfo["dist"][2], "platform": self.platform_type, "public_ssh_keys": self.get_public_ssh_keys(), "python_version": sysinfo["python"], "instance-id": instance_id, "instance_id": instance_id, "kernel_release": sysinfo["uname"][2], "local-hostname": local_hostname, "local_hostname": local_hostname, "machine": sysinfo["uname"][4], "region": self.region, "subplatform": self.subplatform, "system_platform": sysinfo["platform"], "variant": sysinfo["variant"], } } 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["ds"]["_doc"] = EXPERIMENTAL_TEXT # Add merged cloud.cfg and sys info for jinja templates and cli query instance_data["merged_cfg"] = copy.deepcopy(self.sys_cfg) instance_data["merged_cfg"]["_doc"] = ( "Merged cloud-init system config from /etc/cloud/cloud.cfg and" " /etc/cloud/cloud.cfg.d/" ) instance_data["sys_info"] = util.system_info() instance_data.update(self._get_standardized_metadata(instance_data)) 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_sensitive_file = os.path.join( self.paths.run_dir, INSTANCE_JSON_SENSITIVE_FILE ) write_json(json_sensitive_file, processed_data, mode=0o600) json_file = os.path.join(self.paths.run_dir, INSTANCE_JSON_FILE) # World readable write_json(json_file, redact_sensitive_keys(processed_data)) 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, ) sec_between_retries = self.url_sec_between_retries try: sec_between_retries = int( self.ds_cfg.get( "sec_between_retries", self.url_sec_between_retries ) ) except Exception: util.logexc( LOG, "Config sec_between_retries '%s' is not an int," " using default '%s'", self.ds_cfg.get("sec_between_retries"), sec_between_retries, ) return URLParams(max_wait, timeout, retries, sec_between_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 def get_vendordata2(self): if self.vendordata2 is None: self.vendordata2 = self.ud_proc.process(self.get_vendordata2_raw()) return self.vendordata2 @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, str): 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 def get_vendordata2_raw(self): return self.vendordata2_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 publish_host_keys(self, hostkeys): """Publish the public SSH host keys (found in /etc/ssh/*.pub). @param hostkeys: List of host key tuples (key_type, key_value), where key_type is the first field in the public key file (e.g. 'ssh-rsa') and key_value is the key itself (e.g. 'AAAAB3NzaC1y...'). """ 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 not self.metadata.get("local-hostname"): 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 net.is_ipv4_address(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 get_supported_events(self, source_event_types: List[EventType]): supported_events = {} # type: Dict[EventScope, set] for event in source_event_types: for ( update_scope, update_events, ) in self.supported_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) return supported_events def update_metadata_if_supported( self, source_event_types: List[EventType] ) -> bool: """Refresh cached metadata if the datasource supports this event. The datasource has a list of supported_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 = self.get_supported_events(source_event_types) for scope, matched_events in supported_events.items(): LOG.debug( "Update datasource metadata and %s config due to events: %s", scope.value, ", ".join([event.value for event in 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([event.value for event in 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, str): return 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, str): 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_if_supported( [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"] ) if not m_locs: LOG.error( "Could not import %s. Does the DataSource exist and " "is it importable?", ds_name, ) 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 = dmi.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, str): 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 # vi: ts=4 expandtab