U ={f2 @sUdZddlmZddlZddlZddlZddlZddlZddl m Z m Z ddlm Z m Z m Z mZmZmZmZmZmZddlZddlZddlmZddlmZdd lmZmZmZmZmZmZmZm Z m!Z!m"Z"dd l#m$Z$dd l%m&Z&m'Z'dd l(m)Z)m*Z*dd l+m,Z,ddl-m.Z.m/Z/ddl0m1Z1m2Z2m3Z3m4Z4m5Z5ddlm6Z6edddZ7eee8e fddfZ9eee:ee8e e:e fe e8e fdfZ;dem?Z?ddl@mAZAddlmBZBmCZCmDZDddlmEZEddlFmGZGmHZHddlImJZKddlLmMZMmNZNmOZOddlLmPZQne6ZRdZSejTZUGdddejVd ZWejXdddeYddd!d"d#d$d%d"d&d'd(d)d* d+d,ZZejXddeYddd-d"d#d$d.d"d&d'd(d/d* d0d,ZZdddddddd1d"d#d$d2d$d&d'd3d(d/d4 d5d,ZZe$eYZ[dS)6zLogic for creating models.) annotationsN)copydeepcopy) AnyClassVarDict GeneratorLiteralSetTupleTypeVarUnionPydanticUndefined) TypeAlias) _config _decorators_fields _forward_ref _generics _mock_val_ser_model_construction_repr _typing_extra_utils)getattr_migration) AliasChoices AliasPath)GetCoreSchemaHandlerGetJsonSchemaHandler) ConfigDict)PydanticUndefinedAnnotationPydanticUserError)DEFAULT_REF_TEMPLATEGenerateJsonSchemaJsonSchemaModeJsonSchemaValuemodel_json_schema)PydanticDeprecatedSince20Model BaseModel)boundrIncEx) Signature)Path) CoreSchemaSchemaSerializerSchemaValidator)Unpack)AbstractSetIntStrMappingIntStrAny)Protocol)ComputedFieldInfo FieldInfoModelPrivateAttr)Field)r+ create_modelcs8eZdZUdZejrded<ded<ded<ded <d ed <d ed <ded<ded<ded<ded<ded<ded<ded<ded<ded<ded<ed d!Zd"ed#<ed d!Z d$ed%<ed d!Z d"ed&<n4iZ iZ e Zd'Zejd(d)d*d+Zejd(d,d*d+Zd-ZeZd Zd Zd.d/d0d1d2Zd3e_ed"d4d5d6Zed$d4d7d8Zedd9d:d.d;d<d=d>Z d'd d?d;d"d@d;dAdBdCZ!dDd'd'd'd d d d d d3d dE dFdGdGd"d@d@d@d@d@dHd@dIdJ dKdLZ"d'd'd'd'd d d d d d3d dM dNdGdGd"d@d@d@d@d@dHd@dOdP dQdRZ#ed3e$e%dSfd@dOdTdUdIdVdWdXZ&edYdOdZd[d\Z'd.d/d]d^d_Z(ed d3d`d'dad@d@dbd"dcdddedfZ)ed'd'd'dgd9d.dcdcd"d;dhdidjZ*ed'd'dkd9dldcd"d;dmdndoZ+ed'd'dkd9d.dcd"d;dpdqdrZ,edsdtdudvdwdxZ-edudydzd{d|d}Z.ed.d/d~ddZ/dddddZ0d;d;dddZ1dd;dd;dddZ2ejsdOd.dfdd Z3dOd.d/dddZ4dOd.dddZ5dOd.d/dddZ6dd4ddZ7dd/dddZ8ejsd.d@dddZ9ejrddddZ:dd4ddZ;dOd4ddZj?j@Z@e>j?jAZAe>j?jBZBe>j?jCZCdOd4ddZDeeEjFdd'ddd4ddZGeeEjFdd'dd$d4ddZHeEjFdd'dd'd'd d d d ddGdGd@d@d@d@ddddZIeEjFdd'dd'd'd d d d eJeJddGdGd@d@d@d@dd@d.dOd ddZKeeEjFdd'dd9d.d;dÜddńZLeeEjFdd'dd'dd'd dȜd9dddOdd@d;d̜dd΄ZMeeEjFdd'dd'dd'd dȜd9dddOdd@d;dќddӄZNeeEjFdd'dd9d.d;dÜddքZOeeEjFdd'ddd9d:d.d;d<ddلZPeEjFdd'dd'd'd'd dۜd;dddd@d;dޜddZQeeEjFdd'dd3e$fd@dOddddZReeEjFdd'dd3e$dd@dOd.dOdddZSeeEjFdd'dd9d.d;dddZTeeEjFdd'dd.d/dddZUeEjFdd'dd.d.d.dddZVeEjFdd'dd.d.d.dddZWeeEjFdd'dd.d.d.dddZXeEjFdd'dd.d.d.dddZYZZS(r+a}Usage docs: https://docs.pydantic.dev/2.7/concepts/models/ A base class for creating Pydantic models. 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NT)Zcall_default_factoryextraallowcSsi|]\}}||qSrZrZ.0kvrZrZr[ sz-BaseModel.model_construct..rSrNrMrO)__new__setr=itemsaliaspopaddZvalidation_alias isinstancerchoicesstrrZsearch_dict_for_pathrZ is_required get_defaultr<get_object_setattrrHrGmodel_post_inithasattrrOr@)rarbrcmZ fields_values fields_setnamefieldZvalidation_aliasesrnvalue_extrarhrirZrZr[model_constructs\          &      zBaseModel.model_construct)updatedeepbool)rXrrrVcCs|r |n|}|r|jddkrl|D]8\}}||jkrN||j|<q0|jdkr^i|_||j|<q0n |j||j | |S)aUsage docs: https://docs.pydantic.dev/2.7/concepts/serialization/#model_copy Returns a copy of the model. Args: update: Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data. deep: Set to `True` to make a deep copy of the model. Returns: New model instance. rdreN) __deepcopy____copy__r<rurmr=rSrMrrNkeys)rXrrcopiedrhrirZrZr[ model_copys     zBaseModel.model_copypython) modeincludeexcludecontextby_alias exclude_unsetexclude_defaults exclude_none round_tripwarningsserialize_as_anyz!Literal[('json', 'python')] | strr-z)bool | Literal[('none', 'warn', 'error')]zdict[str, Any]) rrrrrrrrrrrrVc Cs$|jj|||||||||| | | d S)aUsage docs: https://docs.pydantic.dev/2.7/concepts/serialization/#modelmodel_dump Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. Args: mode: The mode in which `to_python` should run. If mode is 'json', the output will only contain JSON serializable types. If mode is 'python', the output may contain non-JSON-serializable Python objects. include: A set of fields to include in the output. exclude: A set of fields to exclude from the output. context: Additional context to pass to the serializer. by_alias: Whether to use the field's alias in the dictionary key if defined. exclude_unset: Whether to exclude fields that have not been explicitly set. exclude_defaults: Whether to exclude fields that are set to their default value. exclude_none: Whether to exclude fields that have a value of `None`. round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T]. warnings: How to handle serialization errors. False/"none" ignores them, True/"warn" logs errors, "error" raises a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError]. serialize_as_any: Whether to serialize fields with duck-typing serialization behavior. Returns: A dictionary representation of the model. ) rrrrrrrrrrr)rIZ to_python) rXrrrrrrrrrrrrZrZr[ model_dump5s&zBaseModel.model_dump indentrrrrrrrrrrz int | Noners) rrrrrrrrrrrrVc Cs(|jj|||||||||| | | d S)a-Usage docs: https://docs.pydantic.dev/2.7/concepts/serialization/#modelmodel_dump_json Generates a JSON representation of the model using Pydantic's `to_json` method. Args: indent: Indentation to use in the JSON output. 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