UserResource

class openapi_client.models.user_resource.UserResource(**data)

Bases: BaseModel

requested_by: StrictStr

resource_id: StrictStr

resource_name: StrictStr

access_type: StrictStr

last_modified: StrictStr

last_modified_by: StrictStr

requesters_comment: StrictStr

request_id: StrictStr

request_status: StrictStr

resource_type: StrictStr

expiry_time: StrictStr

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 UserResource 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 UserResource from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'access_type': FieldInfo(annotation=str, required=True, alias='AccessType', alias_priority=2, metadata=[Strict(strict=True)]), 'expiry_time': FieldInfo(annotation=str, required=True, alias='ExpiryTime', alias_priority=2, metadata=[Strict(strict=True)]), 'last_modified': FieldInfo(annotation=str, required=True, alias='LastModified', alias_priority=2, metadata=[Strict(strict=True)]), 'last_modified_by': FieldInfo(annotation=str, required=True, alias='LastModifiedBy', alias_priority=2, metadata=[Strict(strict=True)]), 'request_id': FieldInfo(annotation=str, required=True, alias='RequestId', alias_priority=2, metadata=[Strict(strict=True)]), 'request_status': FieldInfo(annotation=str, required=True, alias='RequestStatus', alias_priority=2, metadata=[Strict(strict=True)]), 'requested_by': FieldInfo(annotation=str, required=True, alias='RequestedBy', alias_priority=2, metadata=[Strict(strict=True)]), 'requesters_comment': FieldInfo(annotation=str, required=True, alias='RequestersComment', alias_priority=2, metadata=[Strict(strict=True)]), 'resource_id': FieldInfo(annotation=str, required=True, alias='ResourceId', alias_priority=2, metadata=[Strict(strict=True)]), 'resource_name': FieldInfo(annotation=str, required=True, alias='ResourceName', alias_priority=2, metadata=[Strict(strict=True)]), 'resource_type': FieldInfo(annotation=str, required=True, alias='ResourceType', alias_priority=2, metadata=[Strict(strict=True)])}

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