Source code for annofabapi.pydantic_models.batch_annotation_request_item_delete

"""


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
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Set

from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing_extensions import Self




class BatchAnnotationRequestItemDelete(BaseModel):
    """
    アノテーション削除
    """

    project_id: StrictStr = Field(description="プロジェクトID。[値の制約についてはこちら。](#section/API-Convention/APIID) ")
    task_id: StrictStr = Field(description="タスクID。[値の制約についてはこちら。](#section/API-Convention/APIID) ")
    input_data_id: StrictStr = Field(description="入力データID。[値の制約についてはこちら。](#section/API-Convention/APIID) ")
    annotation_id: StrictStr = Field(
        description="アノテーションID。[値の制約についてはこちら。](#section/API-Convention/APIID)  `annotation_type`が`classification`の場合は label_id と同じ値が格納されます。 "
    )
    updated_datetime: str = Field(description="更新日時")
    type: StrictStr | None = Field(default=None, description="[詳しくはこちら](#section/API-Convention/API-_type) ", alias="_type")
    __properties: ClassVar[List[str]] = ["project_id", "task_id", "input_data_id", "annotation_id", "updated_datetime", "_type"]



    @field_validator("type")
    def type_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(["Delete"]):
            raise ValueError("must be one of enum values ('Delete')")
        return value


    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )



    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))




    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())




    @classmethod
    def from_json(cls, json_str: str) -> Self | None:
        """Create an instance of BatchAnnotationRequestItemDelete from a JSON string"""
        return cls.from_dict(json.loads(json_str))




    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias.

        This has the following differences from calling pydantic's
        `self.model_dump(by_alias=True)`:

        * `None` is only added to the output dict for nullable fields that
          were set at model initialization. Other fields with value `None`
          are ignored.
        """
        excluded_fields: Set[str] = set([])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        return _dict




    @classmethod
    def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None:
        """Create an instance of BatchAnnotationRequestItemDelete from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate(
            {
                "project_id": obj.get("project_id"),
                "task_id": obj.get("task_id"),
                "input_data_id": obj.get("input_data_id"),
                "annotation_id": obj.get("annotation_id"),
                "updated_datetime": obj.get("updated_datetime"),
                "_type": obj.get("_type"),
            }
        )
        return _obj