jamf_pro_sdk.models.classic.computers.ClassicComputersItem

class ClassicComputersItem(*, id: int, name: str, managed: bool | None = None, username: str | None = None, model: str | None = None, department: str | None = None, building: str | None = None, mac_address: str | None = None, udid: str | None = None, serial_number: str | None = None, report_date_utc: datetime | None | str = None, report_date_epoch: int | None = None, **kwargs)

Represents a computer record returned by the list_computers() operation.

Unless the basic subset has been requested, only id and name will be populated.

Parameters:

• id (int)

• name (str)

• managed (bool | None)

• username (str | None)

• model (str | None)

• department (str | None)

• building (str | None)

• mac_address (str | None)

• udid (str | None)

• serial_number (str | None)

• report_date_utc (datetime | None | str)

• report_date_epoch (int | None)

__init__(**kwargs)

Methods

__init__(**kwargs)
construct([_fields_set])
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])
from_orm(obj)
json(*[, include, exclude, by_alias, ...])
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	!!! abstract "Usage Documentation"
model_dump(*[, mode, include, exclude, ...])	!!! abstract "Usage Documentation"
model_dump_json(*[, indent, ensure_ascii, ...])	!!! abstract "Usage Documentation"
model_json_schema(by_alias, ref_template, ...)	Generates a JSON schema for a model class.
model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
model_post_init(context, /)	Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, extra, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	!!! abstract "Usage Documentation"
model_validate_strings(obj, *[, strict, ...])	Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)
validate(value)

Attributes

model_computed_fields
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
id
name
managed
username
model
department
building
mac_address
udid
serial_number
report_date_utc
report_date_epoch