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Asset Face Create Dto

immichpy.client.generated.models.asset_face_create_dto.AssetFaceCreateDto pydantic-model

Bases: BaseModel

AssetFaceCreateDto

Show JSON schema: 
{
  "description": "AssetFaceCreateDto",
  "properties": {
    "assetId": {
      "description": "Asset ID",
      "format": "uuid",
      "title": "Assetid",
      "type": "string"
    },
    "height": {
      "description": "Face bounding box height",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991,
      "title": "Height",
      "type": "integer"
    },
    "imageHeight": {
      "description": "Image height in pixels",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991,
      "title": "Imageheight",
      "type": "integer"
    },
    "imageWidth": {
      "description": "Image width in pixels",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991,
      "title": "Imagewidth",
      "type": "integer"
    },
    "personId": {
      "description": "Person ID",
      "format": "uuid",
      "title": "Personid",
      "type": "string"
    },
    "width": {
      "description": "Face bounding box width",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991,
      "title": "Width",
      "type": "integer"
    },
    "x": {
      "description": "Face bounding box X coordinate",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991,
      "title": "X",
      "type": "integer"
    },
    "y": {
      "description": "Face bounding box Y coordinate",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991,
      "title": "Y",
      "type": "integer"
    }
  },
  "required": [
    "assetId",
    "height",
    "imageHeight",
    "imageWidth",
    "personId",
    "width",
    "x",
    "y"
  ],
  "title": "AssetFaceCreateDto",
  "type": "object"
}

Config:

  • validate_by_name: True
  • validate_by_alias: True
  • validate_assignment: True
  • protected_namespaces: ()

Fields:

  • asset_id (UUID)
  • height (Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)])
  • image_height (Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)])
  • image_width (Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)])
  • person_id (UUID)
  • width (Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)])
  • x (Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)])
  • y (Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)])

Validators:

asset_id pydantic-field 

asset_id: UUID

Asset ID

height pydantic-field 

height: Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)]

Face bounding box height

image_height pydantic-field 

image_height: Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)]

Image height in pixels

image_width pydantic-field 

image_width: Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)]

Image width in pixels

person_id pydantic-field 

person_id: UUID

Person ID

width pydantic-field 

width: Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)]

Face bounding box width

x pydantic-field 

x: Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)]

Face bounding box X coordinate

y pydantic-field 

y: Annotated[int, Field(le=9007199254740991, strict=True, ge=-9007199254740991)]

Face bounding box Y coordinate

asset_id_validate_regular_expression pydantic-validator 

asset_id_validate_regular_expression(value)

Validates the regular expression

Source code in immichpy/client/generated/models/asset_face_create_dto.py 
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@field_validator("asset_id", mode="before")
def asset_id_validate_regular_expression(cls, value):
    """Validates the regular expression"""
    if isinstance(value, str) and not re.match(
        r"^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-4[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})$",
        value,
    ):
        raise ValueError(
            r"must validate the regular expression /^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-4[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})$/"
        )
    return value

from_dict classmethod 

from_dict(obj: Optional[Dict[str, Any]]) -> Optional[Self]

Create an instance of AssetFaceCreateDto from a dict

Source code in immichpy/client/generated/models/asset_face_create_dto.py 
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@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
    """Create an instance of AssetFaceCreateDto from a dict"""
    if obj is None:
        return None

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

    _obj = cls.model_validate(
        {
            "assetId": obj.get("assetId"),
            "height": obj.get("height"),
            "imageHeight": obj.get("imageHeight"),
            "imageWidth": obj.get("imageWidth"),
            "personId": obj.get("personId"),
            "width": obj.get("width"),
            "x": obj.get("x"),
            "y": obj.get("y"),
        }
    )
    return _obj

from_json classmethod 

from_json(json_str: str) -> Optional[Self]

Create an instance of AssetFaceCreateDto from a JSON string

Source code in immichpy/client/generated/models/asset_face_create_dto.py 
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@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
    """Create an instance of AssetFaceCreateDto from a JSON string"""
    return cls.from_dict(json.loads(json_str))

person_id_validate_regular_expression pydantic-validator 

person_id_validate_regular_expression(value)

Validates the regular expression

Source code in immichpy/client/generated/models/asset_face_create_dto.py 
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@field_validator("person_id", mode="before")
def person_id_validate_regular_expression(cls, value):
    """Validates the regular expression"""
    if isinstance(value, str) and not re.match(
        r"^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-4[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})$",
        value,
    ):
        raise ValueError(
            r"must validate the regular expression /^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-4[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})$/"
        )
    return value

to_dict 

to_dict() -> 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.
Source code in immichpy/client/generated/models/asset_face_create_dto.py 
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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

to_json 

to_json() -> str

Returns the JSON representation of the model using alias

Source code in immichpy/client/generated/models/asset_face_create_dto.py 
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def to_json(self) -> str:
    """Returns the JSON representation of the model using alias"""
    return json.dumps(to_jsonable_python(self.to_dict()))

to_str 

to_str() -> str

Returns the string representation of the model using alias

Source code in immichpy/client/generated/models/asset_face_create_dto.py 
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def to_str(self) -> str:
    """Returns the string representation of the model using alias"""
    return pprint.pformat(self.model_dump(by_alias=True))