Source code for maptekblastlogic.models.dipping_entry_plan_model

from typing import Any, Dict, Type, TypeVar, Union, cast

from attrs import define as _attrs_define

from ..types import UNSET, Unset

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


[docs] @_attrs_define class DippingEntryPlanModel: """Instructions on how to dip the holes. Attributes: last_known_depth (Union[None, Unset, float]): The last known depth of the hole when this entry was created (Meters). Can be null if unknown. supervisor_check_required (Union[Unset, bool]): Whether the supervisor is required to validate the dip measurements. """ last_known_depth: Union[None, Unset, float] = UNSET supervisor_check_required: Union[Unset, bool] = UNSET
[docs] def to_dict(self) -> Dict[str, Any]: last_known_depth: Union[None, Unset, float] if isinstance(self.last_known_depth, Unset): last_known_depth = UNSET else: last_known_depth = self.last_known_depth supervisor_check_required = self.supervisor_check_required field_dict: Dict[str, Any] = {} field_dict.update({}) if last_known_depth is not UNSET: field_dict["lastKnownDepth"] = last_known_depth if supervisor_check_required is not UNSET: field_dict["supervisorCheckRequired"] = supervisor_check_required return field_dict
[docs] @classmethod def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T: d = src_dict.copy() def _parse_last_known_depth(data: object) -> Union[None, Unset, float]: if data is None: return data if isinstance(data, Unset): return data return cast(Union[None, Unset, float], data) last_known_depth = _parse_last_known_depth(d.pop("lastKnownDepth", UNSET)) supervisor_check_required = d.pop("supervisorCheckRequired", UNSET) dipping_entry_plan_model = cls( last_known_depth=last_known_depth, supervisor_check_required=supervisor_check_required, ) return dipping_entry_plan_model