jsonutils¶
JSON related utilities.
This module provides a few things:
- A handy function for getting an object down to something that can be
JSON serialized. See
to_primitive(). - Wrappers around
loads()anddumps(). Thedumps()wrapper will automatically useto_primitive()for you if needed. - This sets up
anyjsonto use theloads()anddumps()wrappers ifanyjsonis available.
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oslo_serialization.jsonutils.dump(obj, fp, *args, **kwargs)¶ Serialize
objas a JSON formatted stream tofpParameters:
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oslo_serialization.jsonutils.dumps(obj, default=<function to_primitive>, **kwargs)¶ Serialize
objto a JSON formattedstr.Parameters: - obj – object to be serialized
- default – function that returns a serializable version of an object
- kwargs – extra named parameters, please see documentation of json.dumps
Returns: json formatted string
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oslo_serialization.jsonutils.load(fp, encoding='utf-8', **kwargs)¶ Deserialize
fpto a Python object.Parameters: - fp – a
.read()-supporting file-like object - encoding – encoding used to interpret the string
- kwargs – extra named parameters, please see documentation of json.loads
Returns: python object
- fp – a
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oslo_serialization.jsonutils.loads(s, encoding='utf-8', **kwargs)¶ Deserialize
s(astrorunicodeinstance containing a JSONParameters: - s – string to deserialize
- encoding – encoding used to interpret the string
- kwargs –
extra named parameters, please see documentation of json.loads
Returns: python object
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oslo_serialization.jsonutils.to_primitive(value, convert_instances=False, convert_datetime=True, level=0, max_depth=3)¶ Convert a complex object into primitives.
Handy for JSON serialization. We can optionally handle instances, but since this is a recursive function, we could have cyclical data structures.
To handle cyclical data structures we could track the actual objects visited in a set, but not all objects are hashable. Instead we just track the depth of the object inspections and don’t go too deep.
Therefore,
convert_instances=Trueis lossy ... be aware.
msgpackutils¶
Msgpack related utilities.
This module provides a few things:
- A handy registry for getting an object down to something that can be
msgpack serialized. See
HandlerRegistry. - Wrappers around
loads()anddumps(). Thedumps()wrapper will automatically use thedefault_registryfor you if needed.
-
class
oslo_serialization.msgpackutils.HandlerRegistry¶ Registry of type specific msgpack handlers extensions.
See: https://github.com/msgpack/msgpack/blob/master/spec.md#formats-ext
Do note that due to the current limitations in the msgpack python library we can not currently dump/load a tuple without converting it to a list.
This may be fixed in: https://github.com/msgpack/msgpack-python/pull/100
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get(identity)¶ Get the handle for the given numeric identity (or none).
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match(obj)¶ Match the registries handlers to the given object (or none).
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register(handler)¶ Register a extension handler to handle its associated type.
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oslo_serialization.msgpackutils.default_registry= <oslo_serialization.msgpackutils.HandlerRegistry object>¶ Default, read-only/frozen registry that will be used when none is provided.
This registry has msgpack extensions for the following:
DateTimeobjects.Dateobjects.UUIDobjects.itertools.countobjects/iterators.setandfrozensetcontainer(s).netaddr.IPAddressobjects (only ifnetaddris importable).xmlrpclib.DateTimedatetime objects.
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oslo_serialization.msgpackutils.dump(obj, fp, registry=None)¶ Serialize
objas a messagepack formatted stream tofp.
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oslo_serialization.msgpackutils.dumps(obj, registry=None)¶ Serialize
objto a messagepack formattedstr.
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oslo_serialization.msgpackutils.load(fp, registry=None)¶ Deserialize
fpinto a Python object.
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oslo_serialization.msgpackutils.loads(s, registry=None)¶ Deserialize
smessagepackstrinto a Python object.