doplaydo.dodata_core.models.Device

class doplaydo.dodata_core.models.Device(*, pkey: int | None = None, cell_pkey: int, device_id: str, attributes: dict = {}, x: float | None = None, y: float | None = None, angle: float | None = None, mirror: bool | None = None, parent_cell_pkey: int | None = None, timestamp: ~datetime.datetime = <factory>)

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
construct([_fields_set])
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])
from_orm(obj[, update])
json(*[, include, exclude, by_alias, ...])
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
model_dump(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump
model_dump_json(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump_json
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(_BaseModel__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, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	Usage docs: https://docs.pydantic.dev/2.10/concepts/json/#json-parsing
model_validate_strings(obj, *[, strict, context])	Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])
parse_obj(obj[, update])
parse_raw(b, *[, content_type, encoding, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
sqlmodel_update(obj, *[, update])
update_forward_refs(**localns)
validate(value)

Attributes

angle	The angle of rotation of the device, relative to the parent cell.
attributes	Attributes associated with this device, stored as JSON.
cell	The cell associated with this device.
cell_pkey	The primary key of the cell associated with this device.
device_data	Data entries associated with he device.
device_id	The name of this device.
metadata
mirror	True if the device has been mirrored.
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.
parent_cell	The parent cell and reference frame for the device.
parent_cell_pkey	The parent cell primary key.
pkey	The primary key (unique identifier) for this device.
timestamp	The date and time (UTC) when the device was uploaded.
x	The x location of the device (its origin), relative to the parent cell.
y	The y location of the device (its origin), relative to the parent cell.