Source code for annofabapi.pydantic_models.batch_annotation_request_item_put_v2

"""


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

from annofabapi.pydantic_models.batch_annotation_v2 import BatchAnnotationV2




class BatchAnnotationRequestItemPutV2(BaseModel):
    """
    アノテーション更新
    """

    data: BatchAnnotationV2
    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]] = ["data", "_type"]



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

        if value not in set(["PutV2"]):
            raise ValueError("must be one of enum values ('PutV2')")
        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 BatchAnnotationRequestItemPutV2 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,
        )
        # override the default output from pydantic by calling `to_dict()` of data
        if self.data:
            _dict["data"] = self.data.to_dict()
        return _dict




    @classmethod
    def from_dict(cls, obj: Dict[str, Any] | None) -> Self | None:
        """Create an instance of BatchAnnotationRequestItemPutV2 from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {"data": BatchAnnotationV2.from_dict(obj["data"]) if obj.get("data") is not None else None, "_type": obj.get("_type")}
        )
        return _obj