Files
attune/tests/generated_client/models/create_sensor_request.py
2026-02-04 17:46:30 -06:00

213 lines
6.8 KiB
Python

from __future__ import annotations
from collections.abc import Mapping
from typing import Any, TypeVar, BinaryIO, TextIO, TYPE_CHECKING, Generator
from attrs import define as _attrs_define
from attrs import field as _attrs_field
from ..types import UNSET, Unset
from ..types import UNSET, Unset
from typing import cast
if TYPE_CHECKING:
from ..models.create_sensor_request_config_type_0 import CreateSensorRequestConfigType0
from ..models.create_sensor_request_param_schema_type_0 import CreateSensorRequestParamSchemaType0
T = TypeVar("T", bound="CreateSensorRequest")
@_attrs_define
class CreateSensorRequest:
""" Request DTO for creating a new sensor
Attributes:
description (str): Sensor description Example: Monitors CPU usage and generates events.
entrypoint (str): Entry point for sensor execution (e.g., path to script, function name) Example:
/sensors/monitoring/cpu_monitor.py.
label (str): Human-readable label Example: CPU Monitoring Sensor.
pack_ref (str): Pack reference this sensor belongs to Example: monitoring.
ref (str): Unique reference identifier (e.g., "mypack.cpu_monitor") Example: monitoring.cpu_sensor.
runtime_ref (str): Runtime reference for this sensor Example: python3.
trigger_ref (str): Trigger reference this sensor monitors for Example: monitoring.cpu_threshold.
config (CreateSensorRequestConfigType0 | None | Unset): Configuration values for this sensor instance (conforms
to param_schema)
enabled (bool | Unset): Whether the sensor is enabled Example: True.
param_schema (CreateSensorRequestParamSchemaType0 | None | Unset): Parameter schema (JSON Schema) for sensor
configuration
"""
description: str
entrypoint: str
label: str
pack_ref: str
ref: str
runtime_ref: str
trigger_ref: str
config: CreateSensorRequestConfigType0 | None | Unset = UNSET
enabled: bool | Unset = UNSET
param_schema: CreateSensorRequestParamSchemaType0 | None | Unset = UNSET
additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
def to_dict(self) -> dict[str, Any]:
from ..models.create_sensor_request_param_schema_type_0 import CreateSensorRequestParamSchemaType0
from ..models.create_sensor_request_config_type_0 import CreateSensorRequestConfigType0
description = self.description
entrypoint = self.entrypoint
label = self.label
pack_ref = self.pack_ref
ref = self.ref
runtime_ref = self.runtime_ref
trigger_ref = self.trigger_ref
config: dict[str, Any] | None | Unset
if isinstance(self.config, Unset):
config = UNSET
elif isinstance(self.config, CreateSensorRequestConfigType0):
config = self.config.to_dict()
else:
config = self.config
enabled = self.enabled
param_schema: dict[str, Any] | None | Unset
if isinstance(self.param_schema, Unset):
param_schema = UNSET
elif isinstance(self.param_schema, CreateSensorRequestParamSchemaType0):
param_schema = self.param_schema.to_dict()
else:
param_schema = self.param_schema
field_dict: dict[str, Any] = {}
field_dict.update(self.additional_properties)
field_dict.update({
"description": description,
"entrypoint": entrypoint,
"label": label,
"pack_ref": pack_ref,
"ref": ref,
"runtime_ref": runtime_ref,
"trigger_ref": trigger_ref,
})
if config is not UNSET:
field_dict["config"] = config
if enabled is not UNSET:
field_dict["enabled"] = enabled
if param_schema is not UNSET:
field_dict["param_schema"] = param_schema
return field_dict
@classmethod
def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
from ..models.create_sensor_request_config_type_0 import CreateSensorRequestConfigType0
from ..models.create_sensor_request_param_schema_type_0 import CreateSensorRequestParamSchemaType0
d = dict(src_dict)
description = d.pop("description")
entrypoint = d.pop("entrypoint")
label = d.pop("label")
pack_ref = d.pop("pack_ref")
ref = d.pop("ref")
runtime_ref = d.pop("runtime_ref")
trigger_ref = d.pop("trigger_ref")
def _parse_config(data: object) -> CreateSensorRequestConfigType0 | None | Unset:
if data is None:
return data
if isinstance(data, Unset):
return data
try:
if not isinstance(data, dict):
raise TypeError()
config_type_0 = CreateSensorRequestConfigType0.from_dict(data)
return config_type_0
except (TypeError, ValueError, AttributeError, KeyError):
pass
return cast(CreateSensorRequestConfigType0 | None | Unset, data)
config = _parse_config(d.pop("config", UNSET))
enabled = d.pop("enabled", UNSET)
def _parse_param_schema(data: object) -> CreateSensorRequestParamSchemaType0 | None | Unset:
if data is None:
return data
if isinstance(data, Unset):
return data
try:
if not isinstance(data, dict):
raise TypeError()
param_schema_type_0 = CreateSensorRequestParamSchemaType0.from_dict(data)
return param_schema_type_0
except (TypeError, ValueError, AttributeError, KeyError):
pass
return cast(CreateSensorRequestParamSchemaType0 | None | Unset, data)
param_schema = _parse_param_schema(d.pop("param_schema", UNSET))
create_sensor_request = cls(
description=description,
entrypoint=entrypoint,
label=label,
pack_ref=pack_ref,
ref=ref,
runtime_ref=runtime_ref,
trigger_ref=trigger_ref,
config=config,
enabled=enabled,
param_schema=param_schema,
)
create_sensor_request.additional_properties = d
return create_sensor_request
@property
def additional_keys(self) -> list[str]:
return list(self.additional_properties.keys())
def __getitem__(self, key: str) -> Any:
return self.additional_properties[key]
def __setitem__(self, key: str, value: Any) -> None:
self.additional_properties[key] = value
def __delitem__(self, key: str) -> None:
del self.additional_properties[key]
def __contains__(self, key: str) -> bool:
return key in self.additional_properties