def dumps(data, excp_cls=coordination.SerializationError):
"""Serializes provided data using msgpack into a byte string."""
try:
return msgpackutils.dumps(data)
except (msgpack.PackException, ValueError) as e:
coordination.raise_with_cause(excp_cls, exception_message(e),
cause=e)
def dumps(data, excp_cls=SerializationError):
"""Serializes provided data using msgpack into a byte string."""
try:
return msgpackutils.dumps(data)
except (msgpack.PackException, ValueError) as e:
raise_with_cause(excp_cls,
encodeutils.exception_to_unicode(e),
cause=e)
def _set_local_cache(self, key, value, ctx=None):
# Set a serialized version of the returned value in local cache for
# subsequent calls to the memoized method.
if not ctx:
ctx = self._get_request_context()
serialize = {'payload': value.payload, 'metadata': value.metadata}
setattr(ctx, self._get_request_key(key), msgpackutils.dumps(serialize))
ctx.update_store()
def _set_local_cache(self, key, value, ctx=None):
# Set a serialized version of the returned value in local cache for
# subsequent calls to the memoized method.
if not ctx:
ctx = self._get_request_context()
serialize = {'payload': value.payload, 'metadata': value.metadata}
setattr(ctx, self._get_request_key(key), msgpackutils.dumps(serialize))
ctx.update_store()
def _dumps(obj):
try:
return msgpackutils.dumps(obj)
except (msgpack.PackException, ValueError):
# TODO(harlowja): remove direct msgpack exception access when
# oslo.utils provides easy access to the underlying msgpack
# pack/unpack exceptions..
exc.raise_with_cause(exc.JobFailure,
"Failed to serialize object to"
" msgpack blob")
def _dumps(obj):
try:
return msgpackutils.dumps(obj)
except (msgpack.PackException, ValueError):
# TODO(harlowja): remove direct msgpack exception access when
# oslo.utils provides easy access to the underlying msgpack
# pack/unpack exceptions..
exc.raise_with_cause(exc.JobFailure,
"Failed to serialize object to"
" msgpack blob")
def test_custom_register(self):
registry = msgpackutils.default_registry.copy(unfreeze=True)
registry.register(ColorHandler())
c = Color(255, 254, 253)
c_b = msgpackutils.dumps(c, registry=registry)
c = msgpackutils.loads(c_b, registry=registry)
self.assertEqual(255, c.r)
self.assertEqual(254, c.g)
self.assertEqual(253, c.b)
def test_custom_register(self):
registry = msgpackutils.default_registry.copy(unfreeze=True)
registry.register(ColorHandler())
c = Color(255, 254, 253)
c_b = msgpackutils.dumps(c, registry=registry)
c = msgpackutils.loads(c_b, registry=registry)
self.assertEqual(255, c.r)
self.assertEqual(254, c.g)
self.assertEqual(253, c.b)
def add_compute():
"""Generates connection string for adding a compute node to the cluster.
Steps:
* Make sure we are running in the clustered mode and this is a control
node which is an initial node in the cluster;
* Generate an application credential via Keystone scoped to the service
project with restricted capabilities (reader role and only able to list
the service catalog) and a short expiration time enough for a user to
copy the connection string to the compute node;
* Get an FQDN that will be used by the client to establish a connection to
the clustering service;
* Serialize the above data into a base64-encoded string.
"""
role = config_get('config.cluster.role')
if role != 'control':
raise Exception('Running add-compute is only supported on a'
' control node.')
app_cred = _create_credential()
data = {
# TODO: we do not use hostname verification, however, using
# an FQDN might be useful here since the host may be behind NAT
# with a split-horizon DNS implemented where a hostname would point
# us to a different IP.
'hostname': config_get('config.network.control-ip'),
# Store bytes since the representation will be shorter than with hex.
'fingerprint': bytes.fromhex(config_get('config.cluster.fingerprint')),
'id': app_cred.id,
'secret': app_cred.secret,
}
connection_string = base64.encode_as_text(msgpackutils.dumps(data))
# Print the connection string and an expiration notice to the user.
print(
'Use the following connection string to add a new compute node'
f' to the cluster (valid for {VALIDITY_PERIOD.minutes} minutes from'
f' this moment):',
file=sys.stderr)
print(connection_string)
def serialize(self, obj):
return msgpackutils.dumps(obj.__dict__, registry=self._registry)
def add_measures(self, metric, measures):
self._store_measures(metric,
msgpackutils.dumps(list(map(tuple, measures))))
def add_measures(self, metric, measures):
self._store_measures(metric, msgpackutils.dumps(
list(map(tuple, measures))))
def serialize(self, obj):
return msgpackutils.dumps(obj.revoke_map,
registry=self._registry)
def _dumps_loads(obj):
obj = msgpackutils.dumps(obj)
return msgpackutils.loads(obj)
if six.PY3:
blob = blob.encode('ascii')
print("color blob: ", blob)
return blob
@staticmethod
def deserialize(data):
chunks = [int(c.strip()) for c in data.split(b",")]
return Color(chunks[0], chunks[1], chunks[2])
registry = msgpackutils.default_registry.copy(unfreeze=True)
registry.register(ColorHandler())
c = Color(255, 254, 253)
c_b = msgpackutils.dumps(c, registry=registry)
print(c_b)
c = msgpackutils.loads(c_b, registry=registry)
print(c.r, c.g, c.b)
'''
msgpackutils 用于将python中的数据对象（某种类型，如这里的UUID，Color）串行化到文件或者字符串变量中。
方法及过程为：
1. 定义对象
2. 定对象的处理逻辑，主要包含四个部分：
a. handles 变量：用于表明可以处理的数据类型。
b. identity 变量：用于串行化到字符串中表明原有数据类型。
c. serialize 函数：用于串行化对象
d. deserialize 函数：反串行化数据流（怎么串行化就怎么反过程处理）
3. 获取registry 对象，相当于一个namespace，所有的处理过程的定义在一个registry下。
4. 注册串行化Handler到registry。
def dump_as_bytes(self, obj):
return msgpackutils.dumps(obj, registry=self._registry)
def _dumps_loads(obj):
obj = msgpackutils.dumps(obj)
return msgpackutils.loads(obj)
def serialize(self, obj):
return msgpackutils.dumps(obj.__dict__, registry=self._registry)
def dump_as_bytes(self, obj):
return msgpackutils.dumps(obj, registry=self._registry)
