cattrs.preconf package#

Submodules#

cattrs.preconf.bson module#

cattrs.preconf.cbor2 module#

cattrs.preconf.json module#

Preconfigured converters for the stdlib json.

class cattrs.preconf.json.JsonConverter(dict_factory=<class 'dict'>, unstruct_strat=UnstructureStrategy.AS_DICT, omit_if_default=False, forbid_extra_keys=False, type_overrides={}, unstruct_collection_overrides={}, prefer_attrib_converters=False, detailed_validation=True)[source]#

Bases: Converter

Parameters

  • dict_factory (Callable[[], Any]) –

  • unstruct_strat (UnstructureStrategy) –

  • omit_if_default (bool) –

  • forbid_extra_keys (bool) –

  • type_overrides (Mapping[Type, AttributeOverride]) –

  • unstruct_collection_overrides (Mapping[Type, Callable]) –

  • prefer_attrib_converters (bool) –

  • detailed_validation (bool) –

dumps(obj, unstructure_as=None, **kwargs)[source]#
Parameters

obj (Any) –

Return type

str

forbid_extra_keys#
loads(data, cl, **kwargs)[source]#
Parameters

  • data (Union[bytes, str]) –

  • cl (Type[T]) –

Return type

T

omit_if_default#
type_overrides#
cattrs.preconf.json.configure_converter(converter)[source]#

Configure the converter for use with the stdlib json module.

  • bytes are serialized as base64 strings

  • datetimes are serialized as ISO 8601

  • counters are serialized as dicts

  • sets are serialized as lists

Parameters

converter (BaseConverter) –

cattrs.preconf.json.make_converter(*args, **kwargs)[source]#
Return type

JsonConverter

cattrs.preconf.msgpack module#

Preconfigured converters for msgpack.

class cattrs.preconf.msgpack.MsgpackConverter(dict_factory=<class 'dict'>, unstruct_strat=UnstructureStrategy.AS_DICT, omit_if_default=False, forbid_extra_keys=False, type_overrides={}, unstruct_collection_overrides={}, prefer_attrib_converters=False, detailed_validation=True)[source]#

Bases: Converter

Parameters

  • dict_factory (Callable[[], Any]) –

  • unstruct_strat (UnstructureStrategy) –

  • omit_if_default (bool) –

  • forbid_extra_keys (bool) –

  • type_overrides (Mapping[Type, AttributeOverride]) –

  • unstruct_collection_overrides (Mapping[Type, Callable]) –

  • prefer_attrib_converters (bool) –

  • detailed_validation (bool) –

dumps(obj, unstructure_as=None, **kwargs)[source]#
Parameters

obj (Any) –

Return type

bytes

forbid_extra_keys#
loads(data, cl, **kwargs)[source]#
Parameters

  • data (bytes) –

  • cl (Type[T]) –

Return type

T

omit_if_default#
type_overrides#
cattrs.preconf.msgpack.configure_converter(converter)[source]#

Configure the converter for use with the msgpack library.

  • datetimes are serialized as timestamp floats

  • sets are serialized as lists

Parameters

converter (BaseConverter) –

cattrs.preconf.msgpack.make_converter(*args, **kwargs)[source]#
Return type

MsgpackConverter

cattrs.preconf.orjson module#

cattrs.preconf.pyyaml module#

Preconfigured converters for pyyaml.

class cattrs.preconf.pyyaml.PyyamlConverter(dict_factory=<class 'dict'>, unstruct_strat=UnstructureStrategy.AS_DICT, omit_if_default=False, forbid_extra_keys=False, type_overrides={}, unstruct_collection_overrides={}, prefer_attrib_converters=False, detailed_validation=True)[source]#

Bases: Converter

Parameters

  • dict_factory (Callable[[], Any]) –

  • unstruct_strat (UnstructureStrategy) –

  • omit_if_default (bool) –

  • forbid_extra_keys (bool) –

  • type_overrides (Mapping[Type, AttributeOverride]) –

  • unstruct_collection_overrides (Mapping[Type, Callable]) –

  • prefer_attrib_converters (bool) –

  • detailed_validation (bool) –

dumps(obj, unstructure_as=None, **kwargs)[source]#
Parameters

obj (Any) –

Return type

str

forbid_extra_keys#
loads(data, cl)[source]#
Parameters

  • data (str) –

  • cl (Type[T]) –

Return type

T

omit_if_default#
type_overrides#
cattrs.preconf.pyyaml.configure_converter(converter)[source]#

Configure the converter for use with the pyyaml library.

  • frozensets are serialized as lists

  • string enums are converted into strings explicitly

Parameters

converter (BaseConverter) –

cattrs.preconf.pyyaml.make_converter(*args, **kwargs)[source]#
Return type

PyyamlConverter

cattrs.preconf.tomlkit module#

Preconfigured converters for tomlkit.

class cattrs.preconf.tomlkit.TomlkitConverter(dict_factory=<class 'dict'>, unstruct_strat=UnstructureStrategy.AS_DICT, omit_if_default=False, forbid_extra_keys=False, type_overrides={}, unstruct_collection_overrides={}, prefer_attrib_converters=False, detailed_validation=True)[source]#

Bases: Converter

Parameters

  • dict_factory (Callable[[], Any]) –

  • unstruct_strat (UnstructureStrategy) –

  • omit_if_default (bool) –

  • forbid_extra_keys (bool) –

  • type_overrides (Mapping[Type, AttributeOverride]) –

  • unstruct_collection_overrides (Mapping[Type, Callable]) –

  • prefer_attrib_converters (bool) –

  • detailed_validation (bool) –

dumps(obj, unstructure_as=None, **kwargs)[source]#
Parameters

obj (Any) –

Return type

str

forbid_extra_keys#
loads(data, cl)[source]#
Parameters

  • data (str) –

  • cl (Type[T]) –

Return type

T

omit_if_default#
type_overrides#
cattrs.preconf.tomlkit.configure_converter(converter)[source]#

Configure the converter for use with the tomlkit library.

  • bytes are serialized as base85 strings

  • sets are serialized as lists

  • tuples are serializas as lists

  • mapping keys are coerced into strings when unstructuring

Parameters

converter (BaseConverter) –

cattrs.preconf.tomlkit.make_converter(*args, **kwargs)[source]#
Return type

TomlkitConverter

cattrs.preconf.ujson module#

Module contents#

cattrs.preconf.validate_datetime(v, _)[source]#