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