o %if2@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>d3d4ZZejXddeYddd5d?d8d4ZZdddddddd9d@d=d4ZZe$eYZ[dS)AzLogic for creating models.) annotationsN)copydeepcopy) AnyClassVarDict GeneratorLiteralSetTupleTypeVarUnionPydanticUndefined) TypeAlias) _config _decorators_fields _forward_ref _generics _mock_val_ser_model_construction_repr _typing_extra_utils)getattr_migration) AliasChoices AliasPath)GetCoreSchemaHandlerGetJsonSchemaHandler) ConfigDict)PydanticUndefinedAnnotationPydanticUserError)DEFAULT_REF_TEMPLATEGenerateJsonSchemaJsonSchemaModeJsonSchemaValuemodel_json_schema)PydanticDeprecatedSince20Model BaseModel)boundrIncEx) Signature)Path) CoreSchemaSchemaSerializerSchemaValidator)Unpack)AbstractSetIntStrMappingIntStrAny)Protocol)ComputedFieldInfo FieldInfoModelPrivateAttr)Field)r+ create_modelc seZdZUdZejrided< ded< ded< ded <d ed <d ed <ded<ded<ded<ded<ded<ded<ded<ded<ded<ded<ed d!Zd"ed#<ed d!Z d$ed%<ed d!Z d"ed&<niZ iZ e Zd'Zejd(d)d*d+Zejd(d,d*d+Zd-ZeZd Zd Zdd2d3Zd4e_edd5d6Zedd7d8Zeddd?d@Z d'd dAddFdGZ!dHd'd'd'd d d d d d4d dI ddYdZZ"d'd'd'd'd d d d d d4d d[ dd_d`Z#ed4e$e%dafddfdgZ&eddjdkZ'ddmdnZ(ed d4dod'dpddwdxZ)ed'd'd'dydd}d~Z*ed'd'ddddZ+ed'd'dd ddZ,ed!ddZ-ed"ddZ.ed#ddZ/d$ddZ0d%ddZ1dd&ddZ2ejsqd'fdd Z3d(ddZ4d'ddZ5d(ddZ6d)ddZ7d*ddZ8ejsd+ddZ9ejrd,ddZ:d-ddZ;d.ddZ<d/ddZ=e>j?j@Z@e>j?jAZAe>j?jBZBe>j?jCZCd.ddZDeeEjFdd'dd0ddńZGeeEjFdd'ddddȄZHeEjFdd'dd'd'd d d d dʜd1dd̈́ZIeEjFdd'dd'd'd d d d eJeJdϜd2ddՄZKeeEjFdd'dd3dd؄ZLeeEjFdd'dd'dd'd dۜd4ddZMeeEjFdd'dd'dd'd dۜd5ddZNeeEjFdd'dd3ddZOeeEjFdd'dddddZPeEjFdd'dd'd'd'd dd6ddZQeeEjFdd'dd4e$fd7ddZReeEjFdd'dd4e$dd8ddZSeeEjFdd'dd9ddZTeeEjFdd'dd:ddZUeEjFdd'dd;ddZVeEjFd d'dd;d d ZWeeEjFd d'dd;d dZXeEjFdd'dd;ddZYZZS(<r+a}Usage docs: https://docs.pydantic.dev/2.7/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of classvars defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The signature for instantiating the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. 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Returns: A set of strings representing the fields that have been set, i.e. that were not filled from defaults. )rPrcr_r_r`model_fields_setszBaseModel.model_fields_setcls type[Model] _fields_setset[str] | Nonevaluesr*cKs||}i}t}|jD]\}}|jdur*|j|vr*||j||<||||vrv|jdurvt|jt r=|jj n|jg}|D]2} t| t r\| |vr\|| ||<||nt| t ru| |} | turu| ||<||nqC||vr||vr||||<||q|s|jdd||<q|dur|}|jddkrdd|Dnd} t|d|t|d ||jst|d | |jr|dt|d r|jdur|D]\} } | |jvr| |j| <q|S|jst|d d|S) a_Creates a new instance of the `Model` class with validated data. Creates a new model setting `__dict__` and `__pydantic_fields_set__` from trusted or pre-validated data. Default values are respected, but no other validation is performed. !!! note `model_construct()` generally respects the `model_config.extra` setting on the provided model. That is, if `model_config.extra == 'allow'`, then all extra passed values are added to the model instance's `__dict__` and `__pydantic_extra__` fields. 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NT)call_default_factoryextraallowcSsi|]\}}||qSr_r_.0kvr_r_r` sz-BaseModel.model_construct..rVrPrNrQ)__new__setr=itemsaliaspopaddvalidation_alias isinstancerchoicesstrrsearch_dict_for_pathr is_required get_defaultr<get_object_setattrrIrHmodel_post_inithasattrrQr@)rfrhrjm fields_values fields_setnamefieldvalidation_aliasesrvvalue_extrarprqr_r_r`model_constructsd         $       zBaseModel.model_construct)updatedeepr]rrboolcCs|r|n|}|rD|jddkr6|D]\}}||jvr'||j|<q|jdur/i|_||j|<qn|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. rlrmN) __deepcopy____copy__r<rrur=rVrNrrPkeys)r]rrcopiedrprqr_r_r` model_copys      zBaseModel.model_copypython) modeincludeexcludecontextby_alias exclude_unsetexclude_defaults exclude_none round_tripwarningsserialize_as_anyrLiteral['json', 'python'] | strrr-rrrrrrrr'bool | Literal['none', 'warn', 'error']rdict[str, Any]c 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. 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