Source code for annofabapi.pydantic_models.full_annotation_data_segmentation_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
from typing_extensions import Self




class FullAnnotationDataSegmentationV2(BaseModel):
    """
    FullAnnotationDataSegmentationV2
    """

    data_uri: StrictStr = Field(
        description="塗りつぶし画像のパス。 塗りつぶし画像のファイル形式はPNGです。塗りつぶされた部分の色は`rgba(255, 255, 255, 1)`、塗りつぶされていない部分の色は`rgba(0, 0, 0, 0)`です。 "
    )
    type: StrictStr = Field(description="`SegmentationV2` ", alias="_type")
    __properties: ClassVar[List[str]] = ["data_uri", "_type"]

    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 FullAnnotationDataSegmentationV2 from a JSON string"""
        result = cls.from_dict(json.loads(json_str))
        if result.type != "SegmentationV2":
            raise ValueError("Invalid type")
        return result




    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 FullAnnotationDataSegmentationV2 from a dict"""
        if obj is None:
            return None

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

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