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