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User Response Dto

immichpy.client.generated.models.user_response_dto.UserResponseDto pydantic-model

Bases: BaseModel

UserResponseDto

Show JSON schema: 
{
  "$defs": {
    "UserAvatarColor": {
      "description": "User avatar color",
      "enum": [
        "primary",
        "pink",
        "red",
        "yellow",
        "blue",
        "green",
        "purple",
        "orange",
        "gray",
        "amber"
      ],
      "title": "UserAvatarColor",
      "type": "string"
    }
  },
  "description": "UserResponseDto",
  "properties": {
    "avatarColor": {
      "$ref": "#/$defs/UserAvatarColor"
    },
    "email": {
      "description": "User email",
      "title": "Email",
      "type": "string"
    },
    "id": {
      "description": "User ID",
      "format": "uuid",
      "title": "Id",
      "type": "string"
    },
    "name": {
      "description": "User name",
      "title": "Name",
      "type": "string"
    },
    "profileChangedAt": {
      "description": "Profile change date",
      "format": "date-time",
      "title": "Profilechangedat",
      "type": "string"
    },
    "profileImagePath": {
      "description": "Profile image path",
      "title": "Profileimagepath",
      "type": "string"
    }
  },
  "required": [
    "avatarColor",
    "email",
    "id",
    "name",
    "profileChangedAt",
    "profileImagePath"
  ],
  "title": "UserResponseDto",
  "type": "object"
}

Config:

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

Fields:

Validators:

email pydantic-field 

email: Annotated[str, Field(strict=True)]

User email

id pydantic-field 

id: UUID

User ID

name pydantic-field 

name: StrictStr

User name

profile_changed_at pydantic-field 

profile_changed_at: datetime

Profile change date

profile_image_path pydantic-field 

profile_image_path: StrictStr

Profile image path

email_validate_regular_expression pydantic-validator 

email_validate_regular_expression(value)

Validates the regular expression

Source code in immichpy/client/generated/models/user_response_dto.py 
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@field_validator("email", mode="before")
def email_validate_regular_expression(cls, value):
    """Validates the regular expression"""
    if isinstance(value, str) and not re.match(
        r"^[\p{L}\p{M}\p{N}.!#$%&\'*+\/=?^_`{|}~-]+@[\p{L}\p{N}](?:[\p{L}\p{M}\p{N}-]{0,61}[\p{L}\p{M}\p{N}])?(?:\.[\p{L}\p{N}](?:[\p{L}\p{M}\p{N}-]{0,61}[\p{L}\p{M}\p{N}])?)*$",
        value,
    ):
        raise ValueError(
            r"must validate the regular expression /^[\p{L}\p{M}\p{N}.!#$%&'*+\/=?^_`{|}~-]+@[\p{L}\p{N}](?:[\p{L}\p{M}\p{N}-]{0,61}[\p{L}\p{M}\p{N}])?(?:\.[\p{L}\p{N}](?:[\p{L}\p{M}\p{N}-]{0,61}[\p{L}\p{M}\p{N}])?)*$/"
        )
    return value

from_dict classmethod 

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

Create an instance of UserResponseDto from a dict

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

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

    _obj = cls.model_validate(
        {
            "avatarColor": obj.get("avatarColor"),
            "email": obj.get("email"),
            "id": obj.get("id"),
            "name": obj.get("name"),
            "profileChangedAt": obj.get("profileChangedAt"),
            "profileImagePath": obj.get("profileImagePath"),
        }
    )
    return _obj

from_json classmethod 

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

Create an instance of UserResponseDto from a JSON string

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

id_validate_regular_expression pydantic-validator 

id_validate_regular_expression(value)

Validates the regular expression

Source code in immichpy/client/generated/models/user_response_dto.py 
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@field_validator("id", mode="before")
def 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/user_response_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/user_response_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/user_response_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))