ResourceAccessGrantInputAdditionalMetadata

class openapi_client.models.resource_access_grant_input_additional_metadata.ResourceAccessGrantInputAdditionalMetadata(**data)

Bases: BaseModel

tag_aws_resources: Optional[StrictBool]

is_domain_access_requested: Optional[StrictBool]

is_tenant_access_requested: Optional[StrictBool]

is_dataset_level_access_provided: Optional[StrictBool]

bypass_kb_source_acl: Optional[StrictBool]

is_guardrail_required: Optional[StrictBool]

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of ResourceAccessGrantInputAdditionalMetadata from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of ResourceAccessGrantInputAdditionalMetadata from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'bypass_kb_source_acl': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='BypassKBSourceACL', alias_priority=2), 'is_dataset_level_access_provided': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='IsDatasetLevelAccessProvided', alias_priority=2), 'is_domain_access_requested': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='IsDomainAccessRequested', alias_priority=2), 'is_guardrail_required': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='IsGuardrailRequired', alias_priority=2), 'is_tenant_access_requested': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='IsTenantAccessRequested', alias_priority=2), 'tag_aws_resources': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='TagAwsResources', alias_priority=2)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) – The BaseModel instance.

• __context (Any) – The context.

Return type:

None