Source code for annofabapi.pydantic_models.annotation_detail_content_output_inner_unknown

"""


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 AnnotationDetailContentOutputInnerUnknown(BaseModel):
    """
    アノテーションのデータ部をJSON内部に保持します。 AnnotationDetailV1の形式で保存されていたデータのAnnotationTypeが特定できない場合にこの値となります。 典型的な例では、アノテーションの保存後にアノテーション仕様が書き換わっていた場合が該当します。
    """

    type: StrictStr = Field(alias="_type")
    data: StrictStr = Field(
        description='アノテーション座標値や区間などの文字列表現です。 アノテーション種類（`annotation_type`）とデータ格納形式（`data_holding_type`）に応じて、以下のとおり表現が変わります。  <table> <tr><th>annotation_type</th><th>data_holding_type</th><th>文字列表現</th></tr> <tr><td>bounding_box</td><td>inner</td><td><code>"左上x,左上y,右下x,右下y"</code></td></tr> <tr><td>point</td><td>inner</td><td><code>"x1,y1"</code></td></tr> <tr><td>polygon / polyline</td><td>inner</td><td><code>"x1,y1,x2,y2, ... "</code></td></tr> <tr><td>range </td><td>inner</td><td><code>"開始時間(ミリ秒),終了時間(ミリ秒) "</code></td></tr> <tr><td>classification</td><td>inner</td><td><code>null</code></td></tr> <tr><td>segmentation</td><td>outer</td><td><code>null</code></td></tr> <tr><td>segmentation_v2</td><td>outer</td><td><code>null</code></td></tr> </table> '
    )
    __properties: ClassVar[List[str]] = ["_type", "data"]



    @field_validator("type")
    def type_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(["InnerUnknown"]):
            raise ValueError("must be one of enum values ('InnerUnknown')")
        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 AnnotationDetailContentOutputInnerUnknown 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 AnnotationDetailContentOutputInnerUnknown from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({"_type": obj.get("_type"), "data": obj.get("data")})
        return _obj