Source code for annofabapi.pydantic_models.validation_error

"""


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.duplicated_segmentation_v2 import DuplicatedSegmentationV2
from annofabapi.pydantic_models.duplicated_v1 import DuplicatedV1
from annofabapi.pydantic_models.duplicated_v2 import DuplicatedV2
from annofabapi.pydantic_models.invalid_annotation_data import InvalidAnnotationData
from annofabapi.pydantic_models.invalid_choice import InvalidChoice
from annofabapi.pydantic_models.invalid_link_target import InvalidLinkTarget
from annofabapi.pydantic_models.invalid_value import InvalidValue
from annofabapi.pydantic_models.overlapped_range_annotation import OverlappedRangeAnnotation
from annofabapi.pydantic_models.unknown_additional_data import UnknownAdditionalData
from annofabapi.pydantic_models.unknown_label import UnknownLabel
from annofabapi.pydantic_models.unknown_link_target import UnknownLinkTarget

VALIDATIONERROR_ONE_OF_SCHEMAS = [
    "DuplicatedSegmentationV2",
    "DuplicatedV1",
    "DuplicatedV2",
    "InvalidAnnotationData",
    "InvalidChoice",
    "InvalidLinkTarget",
    "InvalidValue",
    "OverlappedRangeAnnotation",
    "UnknownAdditionalData",
    "UnknownLabel",
    "UnknownLinkTarget",
]


[docs] class ValidationError(BaseModel): """ ValidationError """ # data type: InvalidAnnotationData oneof_schema_1_validator: InvalidAnnotationData | None = None # data type: DuplicatedSegmentationV2 oneof_schema_2_validator: DuplicatedSegmentationV2 | None = None # data type: InvalidValue oneof_schema_3_validator: InvalidValue | None = None # data type: UnknownLinkTarget oneof_schema_4_validator: UnknownLinkTarget | None = None # data type: InvalidLinkTarget oneof_schema_5_validator: InvalidLinkTarget | None = None # data type: InvalidChoice oneof_schema_6_validator: InvalidChoice | None = None # data type: DuplicatedV1 oneof_schema_7_validator: DuplicatedV1 | None = None # data type: DuplicatedV2 oneof_schema_8_validator: DuplicatedV2 | None = None # data type: UnknownAdditionalData oneof_schema_9_validator: UnknownAdditionalData | None = None # data type: OverlappedRangeAnnotation oneof_schema_10_validator: OverlappedRangeAnnotation | None = None # data type: UnknownLabel oneof_schema_11_validator: UnknownLabel | None = None actual_instance: ( Union[ DuplicatedSegmentationV2, DuplicatedV1, DuplicatedV2, InvalidAnnotationData, InvalidChoice, InvalidLinkTarget, InvalidValue, OverlappedRangeAnnotation, UnknownAdditionalData, UnknownLabel, UnknownLinkTarget, ] | None ) = None one_of_schemas: Set[str] = { "DuplicatedSegmentationV2", "DuplicatedV1", "DuplicatedV2", "InvalidAnnotationData", "InvalidChoice", "InvalidLinkTarget", "InvalidValue", "OverlappedRangeAnnotation", "UnknownAdditionalData", "UnknownLabel", "UnknownLinkTarget", } 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 = ValidationError.model_construct() error_messages = [] match = 0 # validate data type: InvalidAnnotationData if not isinstance(v, InvalidAnnotationData): error_messages.append(f"Error! Input type `{type(v)}` is not `InvalidAnnotationData`") else: match += 1 # validate data type: DuplicatedSegmentationV2 if not isinstance(v, DuplicatedSegmentationV2): error_messages.append(f"Error! Input type `{type(v)}` is not `DuplicatedSegmentationV2`") else: match += 1 # validate data type: InvalidValue if not isinstance(v, InvalidValue): error_messages.append(f"Error! Input type `{type(v)}` is not `InvalidValue`") else: match += 1 # validate data type: UnknownLinkTarget if not isinstance(v, UnknownLinkTarget): error_messages.append(f"Error! Input type `{type(v)}` is not `UnknownLinkTarget`") else: match += 1 # validate data type: InvalidLinkTarget if not isinstance(v, InvalidLinkTarget): error_messages.append(f"Error! Input type `{type(v)}` is not `InvalidLinkTarget`") else: match += 1 # validate data type: InvalidChoice if not isinstance(v, InvalidChoice): error_messages.append(f"Error! Input type `{type(v)}` is not `InvalidChoice`") else: match += 1 # validate data type: DuplicatedV1 if not isinstance(v, DuplicatedV1): error_messages.append(f"Error! Input type `{type(v)}` is not `DuplicatedV1`") else: match += 1 # validate data type: DuplicatedV2 if not isinstance(v, DuplicatedV2): error_messages.append(f"Error! Input type `{type(v)}` is not `DuplicatedV2`") else: match += 1 # validate data type: UnknownAdditionalData if not isinstance(v, UnknownAdditionalData): error_messages.append(f"Error! Input type `{type(v)}` is not `UnknownAdditionalData`") else: match += 1 # validate data type: OverlappedRangeAnnotation if not isinstance(v, OverlappedRangeAnnotation): error_messages.append(f"Error! Input type `{type(v)}` is not `OverlappedRangeAnnotation`") else: match += 1 # validate data type: UnknownLabel if not isinstance(v, UnknownLabel): error_messages.append(f"Error! Input type `{type(v)}` is not `UnknownLabel`") else: match += 1 if match > 1: # more than 1 match raise ValueError( "Multiple matches found when setting `actual_instance` in ValidationError with oneOf schemas: DuplicatedSegmentationV2, DuplicatedV1, DuplicatedV2, InvalidAnnotationData, InvalidChoice, InvalidLinkTarget, InvalidValue, OverlappedRangeAnnotation, UnknownAdditionalData, UnknownLabel, UnknownLinkTarget. Details: " + ", ".join(error_messages) ) elif match == 0: # no match raise ValueError( "No match found when setting `actual_instance` in ValidationError with oneOf schemas: DuplicatedSegmentationV2, DuplicatedV1, DuplicatedV2, InvalidAnnotationData, InvalidChoice, InvalidLinkTarget, InvalidValue, OverlappedRangeAnnotation, UnknownAdditionalData, UnknownLabel, UnknownLinkTarget. 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 InvalidAnnotationData try: instance.actual_instance = InvalidAnnotationData.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into DuplicatedSegmentationV2 try: instance.actual_instance = DuplicatedSegmentationV2.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into InvalidValue try: instance.actual_instance = InvalidValue.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into UnknownLinkTarget try: instance.actual_instance = UnknownLinkTarget.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into InvalidLinkTarget try: instance.actual_instance = InvalidLinkTarget.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into InvalidChoice try: instance.actual_instance = InvalidChoice.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into DuplicatedV1 try: instance.actual_instance = DuplicatedV1.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into DuplicatedV2 try: instance.actual_instance = DuplicatedV2.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into UnknownAdditionalData try: instance.actual_instance = UnknownAdditionalData.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into OverlappedRangeAnnotation try: instance.actual_instance = OverlappedRangeAnnotation.from_json(json_str) match += 1 except (ValidationError, ValueError) as e: error_messages.append(str(e)) # deserialize data into UnknownLabel try: instance.actual_instance = UnknownLabel.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 ValidationError with oneOf schemas: DuplicatedSegmentationV2, DuplicatedV1, DuplicatedV2, InvalidAnnotationData, InvalidChoice, InvalidLinkTarget, InvalidValue, OverlappedRangeAnnotation, UnknownAdditionalData, UnknownLabel, UnknownLinkTarget. Details: " + ", ".join(error_messages) ) elif match == 0: # no match raise ValueError( "No match found when deserializing the JSON string into ValidationError with oneOf schemas: DuplicatedSegmentationV2, DuplicatedV1, DuplicatedV2, InvalidAnnotationData, InvalidChoice, InvalidLinkTarget, InvalidValue, OverlappedRangeAnnotation, UnknownAdditionalData, UnknownLabel, UnknownLinkTarget. 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], DuplicatedSegmentationV2, DuplicatedV1, DuplicatedV2, InvalidAnnotationData, InvalidChoice, InvalidLinkTarget, InvalidValue, OverlappedRangeAnnotation, UnknownAdditionalData, UnknownLabel, UnknownLinkTarget, ] | 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())