unitelabs.sdk.core.action.sensor
Classes
Sensor
Methods
__call__(
- self,
- interval : typing.Optional[int],
- **kwargs
Parameters
- Name
self- Type
- Default
- Description
- Name
interval- Type
- typing.Optional[int]
- Default
- = None
- Description
- Name
**kwargs- Type
- Default
- = {}
- Description
__init__(
- self,
- client : Client,
- id : str,
- name : str,
- type : typing.Literal['PROPERTY', 'SENSOR', 'CONTROL', 'DIAGNOSTIC'],
- parameters : dict[str, Parameter],
- output : dict[str, Output],
- responses : dict[str, Response]
Parameters
- Name
self- Type
- Default
- Description
- Name
client- Type
- Client
- Default
- Description
- Name
id- Type
- str
- Default
- = ''
- Description
- Name
name- Type
- str
- Default
- = ''
- Description
- Name
type- Type
- typing.Literal['PROPERTY', 'SENSOR', 'CONTROL', 'DIAGNOSTIC']
- Default
- = 'CONTROL'
- Description
- Name
parameters- Type
- dict[str, Parameter]
- Default
- Description
- Name
output- Type
- dict[str, Output]
- Default
- Description
- Name
responses- Type
- dict[str, Response]
- Default
- Description
_parse_parameters(self, parameters : dict) -> dict
Parameters
- Name
self- Type
- Default
- Description
- Name
parameters- Type
- dict
- Default
- Description
Response
- Type
- dict
- Description
_parse_output(self, outputs : dict) -> None
Parameters
- Name
self- Type
- Default
- Description
- Name
outputs- Type
- dict
- Default
- Description
_parse_responses(self, responses : dict) -> None
Parameters
- Name
self- Type
- Default
- Description
- Name
responses- Type
- dict
- Default
- Description
_parse_data_type(self, value : typing.Optional[typing.Any], schema : StructureElementModel) -> typing.Union[str, int, float, bool, bytes, date, unitelabs.sdk.datetime.time, unitelabs.sdk.datetime.datetime, list, dict]
Parameters
- Name
self- Type
- Default
- Description
- Name
value- Type
- typing.Optional[typing.Any]
- Default
- Description
- Name
schema- Type
- StructureElementModel
- Default
- Description
Response
- Type
- typing.Union[str, int, float, bool, bytes, date, unitelabs.sdk.datetime.time, unitelabs.sdk.datetime.datetime, list, dict]
- Description
_to_data_type(self, value : typing.Optional[typing.Any], schema : StructureElementModel) -> typing.Union[str, int, float, bool, bytes, date, unitelabs.sdk.datetime.time, unitelabs.sdk.datetime.datetime, list, dict]
Parameters
- Name
self- Type
- Default
- Description
- Name
value- Type
- typing.Optional[typing.Any]
- Default
- Description
- Name
schema- Type
- StructureElementModel
- Default
- Description
Response
- Type
- typing.Union[str, int, float, bool, bytes, date, unitelabs.sdk.datetime.time, unitelabs.sdk.datetime.datetime, list, dict]
- Description
Attributes
- Name
type- Type
- typing.Literal[]
- Value
= 'SENSOR'
- Description
- Name
client- Type
- Client
- Value
= None
- Description
- Name
id- Type
- str
- Value
= ''
- Description
- Name
name- Type
- str
- Value
= ''
- Description
- Name
parameters- Type
- dict[str, Parameter]
- Value
= dataclasses.field(repr=False, default_factory=dict)
- Description
- Name
output- Type
- dict[str, Output]
- Value
= dataclasses.field(repr=False, default_factory=dict)
- Description
- Name
responses- Type
- dict[str, Response]
- Value
= dataclasses.field(repr=False, default_factory=dict)
- Description