Source code for modelz.openapi.sdk.models.metric_response

from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar, Union

from attrs import define as _attrs_define
from attrs import field as _attrs_field

from ..types import UNSET, Unset

if TYPE_CHECKING:
    from ..models.metric import Metric


T = TypeVar("T", bound="MetricResponse")


[docs]@_attrs_define class MetricResponse: """ Attributes: metrics (Union[Unset, List['Metric']]): """ metrics: Union[Unset, List["Metric"]] = UNSET additional_properties: Dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> Dict[str, Any]: metrics: Union[Unset, List[Dict[str, Any]]] = UNSET if not isinstance(self.metrics, Unset): metrics = [] for metrics_item_data in self.metrics: metrics_item = metrics_item_data.to_dict() metrics.append(metrics_item) field_dict: Dict[str, Any] = {} field_dict.update(self.additional_properties) field_dict.update({}) if metrics is not UNSET: field_dict["metrics"] = metrics return field_dict @classmethod def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T: from ..models.metric import Metric d = src_dict.copy() metrics = [] _metrics = d.pop("metrics", UNSET) for metrics_item_data in _metrics or []: metrics_item = Metric.from_dict(metrics_item_data) metrics.append(metrics_item) metric_response = cls( metrics=metrics, ) metric_response.additional_properties = d return metric_response @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