Source code for mgnipy.emgapi_v2_client.models.m_gnify_analysis_with_annotations_annotations

from __future__ import annotations

from collections.abc import Mapping
from typing import (
    TYPE_CHECKING,
    Any,
    TypeVar,
)

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

if TYPE_CHECKING:
    from ..models.m_gnify_analysis_typed_annotation import MGnifyAnalysisTypedAnnotation
    from ..models.m_gnify_analysis_with_annotations_annotations_additional_property_type_1 import (
        MGnifyAnalysisWithAnnotationsAnnotationsAdditionalPropertyType1,
    )


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


[docs] @_attrs_define class MGnifyAnalysisWithAnnotationsAnnotations: """ """ additional_properties: dict[ str, list[MGnifyAnalysisTypedAnnotation] | MGnifyAnalysisWithAnnotationsAnnotationsAdditionalPropertyType1, ] = _attrs_field(init=False, factory=dict)
[docs] def to_dict(self) -> dict[str, Any]: field_dict: dict[str, Any] = {} for prop_name, prop in self.additional_properties.items(): if isinstance(prop, list): field_dict[prop_name] = [] for additional_property_type_0_item_data in prop: additional_property_type_0_item = ( additional_property_type_0_item_data.to_dict() ) field_dict[prop_name].append(additional_property_type_0_item) else: field_dict[prop_name] = prop.to_dict() return field_dict
[docs] @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: from ..models.m_gnify_analysis_typed_annotation import ( MGnifyAnalysisTypedAnnotation, ) from ..models.m_gnify_analysis_with_annotations_annotations_additional_property_type_1 import ( MGnifyAnalysisWithAnnotationsAnnotationsAdditionalPropertyType1, ) d = dict(src_dict) m_gnify_analysis_with_annotations_annotations = cls() additional_properties = {} for prop_name, prop_dict in d.items(): def _parse_additional_property( data: object, ) -> ( list[MGnifyAnalysisTypedAnnotation] | MGnifyAnalysisWithAnnotationsAnnotationsAdditionalPropertyType1 ): try: if not isinstance(data, list): raise TypeError() additional_property_type_0 = [] _additional_property_type_0 = data for ( additional_property_type_0_item_data ) in _additional_property_type_0: additional_property_type_0_item = ( MGnifyAnalysisTypedAnnotation.from_dict( additional_property_type_0_item_data ) ) additional_property_type_0.append( additional_property_type_0_item ) return additional_property_type_0 except (TypeError, ValueError, AttributeError, KeyError): pass if not isinstance(data, dict): raise TypeError() additional_property_type_1 = MGnifyAnalysisWithAnnotationsAnnotationsAdditionalPropertyType1.from_dict( data ) return additional_property_type_1 additional_property = _parse_additional_property(prop_dict) additional_properties[prop_name] = additional_property m_gnify_analysis_with_annotations_annotations.additional_properties = ( additional_properties ) return m_gnify_analysis_with_annotations_annotations
@property def additional_keys(self) -> list[str]: return list(self.additional_properties.keys()) def __getitem__( self, key: str ) -> ( list[MGnifyAnalysisTypedAnnotation] | MGnifyAnalysisWithAnnotationsAnnotationsAdditionalPropertyType1 ): return self.additional_properties[key] def __setitem__( self, key: str, value: ( list[MGnifyAnalysisTypedAnnotation] | MGnifyAnalysisWithAnnotationsAnnotationsAdditionalPropertyType1 ), ) -> 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