MailServerInfo

class openapi_client.models.mail_server_info.MailServerInfo(**data)

Bases: BaseModel

server_name: StrictStr

server_description: StrictStr

server_id: Optional[StrictStr]

port: Union[StrictFloat, StrictInt]

enabled: StrictBool

user_name: StrictStr

password: StrictStr

account_email: StrictStr

last_modified_time: Optional[StrictStr]

last_modified_by: Optional[StrictStr]

created_by: Optional[StrictStr]

health_status: Optional[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 MailServerInfo 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 MailServerInfo from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'account_email': FieldInfo(annotation=str, required=True, alias='AccountEmail', alias_priority=2, metadata=[Strict(strict=True)]), 'created_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreatedBy', alias_priority=2), 'enabled': FieldInfo(annotation=bool, required=True, alias='Enabled', alias_priority=2, metadata=[Strict(strict=True)]), 'health_status': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='HealthStatus', alias_priority=2), 'last_modified_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedBy', alias_priority=2), 'last_modified_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedTime', alias_priority=2), 'password': FieldInfo(annotation=str, required=True, alias='Password', alias_priority=2, metadata=[Strict(strict=True)]), 'port': FieldInfo(annotation=Union[Annotated[float, Strict(strict=True)], Annotated[int, Strict(strict=True)]], required=True, alias='Port', alias_priority=2), 'server_description': FieldInfo(annotation=str, required=True, alias='ServerDescription', alias_priority=2, metadata=[Strict(strict=True)]), 'server_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ServerId', alias_priority=2), 'server_name': FieldInfo(annotation=str, required=True, alias='ServerName', alias_priority=2, metadata=[Strict(strict=True)]), 'user_name': FieldInfo(annotation=str, required=True, alias='UserName', 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