"""
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
The version of the OpenAPI document: 1.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
"""
from __future__ import annotations
import json
import pprint
from typing import Any, Dict, Set, Union
from pydantic import BaseModel, ConfigDict, ValidationError, field_validator
from typing_extensions import Self
from annofabapi.pydantic_models.full_annotation_data_bounding_box import FullAnnotationDataBoundingBox
from annofabapi.pydantic_models.full_annotation_data_classification import FullAnnotationDataClassification
from annofabapi.pydantic_models.full_annotation_data_points import FullAnnotationDataPoints
from annofabapi.pydantic_models.full_annotation_data_range import FullAnnotationDataRange
from annofabapi.pydantic_models.full_annotation_data_segmentation import FullAnnotationDataSegmentation
from annofabapi.pydantic_models.full_annotation_data_segmentation_v2 import FullAnnotationDataSegmentationV2
from annofabapi.pydantic_models.full_annotation_data_single_point import FullAnnotationDataSinglePoint
from annofabapi.pydantic_models.full_annotation_data_unknown import FullAnnotationDataUnknown
FULLANNOTATIONDATA_ONE_OF_SCHEMAS = [
"FullAnnotationDataBoundingBox",
"FullAnnotationDataClassification",
"FullAnnotationDataPoints",
"FullAnnotationDataRange",
"FullAnnotationDataSegmentation",
"FullAnnotationDataSegmentationV2",
"FullAnnotationDataSinglePoint",
"FullAnnotationDataUnknown",
]
[docs]
class FullAnnotationData(BaseModel):
"""
アノテーションのデータが格納されます。 * `FullAnnotationDataClassification`: 入力データ全体アノテーション * `FullAnnotationDataSegmentation`: 塗りつぶしアノテーション * `FullAnnotationDataSegmentationV2`: 塗りつぶしv2アノテーション * `FullAnnotationDataBoundingBox`: 矩形アノテーション * `FullAnnotationDataPoints`: ポリゴンまたはポリラインアノテーション * `FullAnnotationDataSinglePoint`: 点アノテーション * `FullAnnotationDataRange`: 動画区間アノテーション * `FullAnnotationDataUnknown`: カスタムアノテーション
"""
# data type: FullAnnotationDataClassification
oneof_schema_1_validator: FullAnnotationDataClassification | None = None
# data type: FullAnnotationDataSegmentation
oneof_schema_2_validator: FullAnnotationDataSegmentation | None = None
# data type: FullAnnotationDataSegmentationV2
oneof_schema_3_validator: FullAnnotationDataSegmentationV2 | None = None
# data type: FullAnnotationDataBoundingBox
oneof_schema_4_validator: FullAnnotationDataBoundingBox | None = None
# data type: FullAnnotationDataPoints
oneof_schema_5_validator: FullAnnotationDataPoints | None = None
# data type: FullAnnotationDataSinglePoint
oneof_schema_6_validator: FullAnnotationDataSinglePoint | None = None
# data type: FullAnnotationDataRange
oneof_schema_7_validator: FullAnnotationDataRange | None = None
# data type: FullAnnotationDataUnknown
oneof_schema_8_validator: FullAnnotationDataUnknown | None = None
actual_instance: (
Union[
FullAnnotationDataBoundingBox,
FullAnnotationDataClassification,
FullAnnotationDataPoints,
FullAnnotationDataRange,
FullAnnotationDataSegmentation,
FullAnnotationDataSegmentationV2,
FullAnnotationDataSinglePoint,
FullAnnotationDataUnknown,
]
| None
) = None
one_of_schemas: Set[str] = {
"FullAnnotationDataBoundingBox",
"FullAnnotationDataClassification",
"FullAnnotationDataPoints",
"FullAnnotationDataRange",
"FullAnnotationDataSegmentation",
"FullAnnotationDataSegmentationV2",
"FullAnnotationDataSinglePoint",
"FullAnnotationDataUnknown",
}
model_config = ConfigDict(
validate_assignment=True,
protected_namespaces=(),
)
discriminator_value_class_map: Dict[str, str] = {}
def __init__(self, *args, **kwargs) -> None:
if args:
if len(args) > 1:
raise ValueError("If a position argument is used, only 1 is allowed to set `actual_instance`")
if kwargs:
raise ValueError("If a position argument is used, keyword arguments cannot be used.")
super().__init__(actual_instance=args[0])
else:
super().__init__(**kwargs)
[docs]
@field_validator("actual_instance")
def actual_instance_must_validate_oneof(cls, v):
instance = FullAnnotationData.model_construct()
error_messages = []
match = 0
# validate data type: FullAnnotationDataClassification
if not isinstance(v, FullAnnotationDataClassification):
error_messages.append(f"Error! Input type `{type(v)}` is not `FullAnnotationDataClassification`")
else:
match += 1
# validate data type: FullAnnotationDataSegmentation
if not isinstance(v, FullAnnotationDataSegmentation):
error_messages.append(f"Error! Input type `{type(v)}` is not `FullAnnotationDataSegmentation`")
else:
match += 1
# validate data type: FullAnnotationDataSegmentationV2
if not isinstance(v, FullAnnotationDataSegmentationV2):
error_messages.append(f"Error! Input type `{type(v)}` is not `FullAnnotationDataSegmentationV2`")
else:
match += 1
# validate data type: FullAnnotationDataBoundingBox
if not isinstance(v, FullAnnotationDataBoundingBox):
error_messages.append(f"Error! Input type `{type(v)}` is not `FullAnnotationDataBoundingBox`")
else:
match += 1
# validate data type: FullAnnotationDataPoints
if not isinstance(v, FullAnnotationDataPoints):
error_messages.append(f"Error! Input type `{type(v)}` is not `FullAnnotationDataPoints`")
else:
match += 1
# validate data type: FullAnnotationDataSinglePoint
if not isinstance(v, FullAnnotationDataSinglePoint):
error_messages.append(f"Error! Input type `{type(v)}` is not `FullAnnotationDataSinglePoint`")
else:
match += 1
# validate data type: FullAnnotationDataRange
if not isinstance(v, FullAnnotationDataRange):
error_messages.append(f"Error! Input type `{type(v)}` is not `FullAnnotationDataRange`")
else:
match += 1
# validate data type: FullAnnotationDataUnknown
if not isinstance(v, FullAnnotationDataUnknown):
error_messages.append(f"Error! Input type `{type(v)}` is not `FullAnnotationDataUnknown`")
else:
match += 1
if match > 1:
# more than 1 match
raise ValueError(
"Multiple matches found when setting `actual_instance` in FullAnnotationData with oneOf schemas: FullAnnotationDataBoundingBox, FullAnnotationDataClassification, FullAnnotationDataPoints, FullAnnotationDataRange, FullAnnotationDataSegmentation, FullAnnotationDataSegmentationV2, FullAnnotationDataSinglePoint, FullAnnotationDataUnknown. Details: "
+ ", ".join(error_messages)
)
elif match == 0:
# no match
raise ValueError(
"No match found when setting `actual_instance` in FullAnnotationData with oneOf schemas: FullAnnotationDataBoundingBox, FullAnnotationDataClassification, FullAnnotationDataPoints, FullAnnotationDataRange, FullAnnotationDataSegmentation, FullAnnotationDataSegmentationV2, FullAnnotationDataSinglePoint, FullAnnotationDataUnknown. Details: "
+ ", ".join(error_messages)
)
else:
return v
[docs]
@classmethod
def from_dict(cls, obj: Union[str, Dict[str, Any]]) -> Self:
return cls.from_json(json.dumps(obj))
[docs]
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Returns the object represented by the json string"""
instance = cls.model_construct()
error_messages = []
match = 0
# deserialize data into FullAnnotationDataClassification
try:
instance.actual_instance = FullAnnotationDataClassification.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into FullAnnotationDataSegmentation
try:
instance.actual_instance = FullAnnotationDataSegmentation.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into FullAnnotationDataSegmentationV2
try:
instance.actual_instance = FullAnnotationDataSegmentationV2.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into FullAnnotationDataBoundingBox
try:
instance.actual_instance = FullAnnotationDataBoundingBox.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into FullAnnotationDataPoints
try:
instance.actual_instance = FullAnnotationDataPoints.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into FullAnnotationDataSinglePoint
try:
instance.actual_instance = FullAnnotationDataSinglePoint.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into FullAnnotationDataRange
try:
instance.actual_instance = FullAnnotationDataRange.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into FullAnnotationDataUnknown
try:
instance.actual_instance = FullAnnotationDataUnknown.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
if match > 1:
# more than 1 match
raise ValueError(
"Multiple matches found when deserializing the JSON string into FullAnnotationData with oneOf schemas: FullAnnotationDataBoundingBox, FullAnnotationDataClassification, FullAnnotationDataPoints, FullAnnotationDataRange, FullAnnotationDataSegmentation, FullAnnotationDataSegmentationV2, FullAnnotationDataSinglePoint, FullAnnotationDataUnknown. Details: "
+ ", ".join(error_messages)
)
elif match == 0:
# no match
raise ValueError(
"No match found when deserializing the JSON string into FullAnnotationData with oneOf schemas: FullAnnotationDataBoundingBox, FullAnnotationDataClassification, FullAnnotationDataPoints, FullAnnotationDataRange, FullAnnotationDataSegmentation, FullAnnotationDataSegmentationV2, FullAnnotationDataSinglePoint, FullAnnotationDataUnknown. Details: "
+ ", ".join(error_messages)
)
else:
return instance
[docs]
def to_json(self) -> str:
"""Returns the JSON representation of the actual instance"""
if self.actual_instance is None:
return "null"
if hasattr(self.actual_instance, "to_json") and callable(self.actual_instance.to_json):
return self.actual_instance.to_json()
else:
return json.dumps(self.actual_instance)
[docs]
def to_dict(
self,
) -> (
Union[
Dict[str, Any],
FullAnnotationDataBoundingBox,
FullAnnotationDataClassification,
FullAnnotationDataPoints,
FullAnnotationDataRange,
FullAnnotationDataSegmentation,
FullAnnotationDataSegmentationV2,
FullAnnotationDataSinglePoint,
FullAnnotationDataUnknown,
]
| None
):
"""Returns the dict representation of the actual instance"""
if self.actual_instance is None:
return None
if hasattr(self.actual_instance, "to_dict") and callable(self.actual_instance.to_dict):
return self.actual_instance.to_dict()
else:
# primitive type
return self.actual_instance
[docs]
def to_str(self) -> str:
"""Returns the string representation of the actual instance"""
return pprint.pformat(self.model_dump())
