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Library Response Dto

immichpy.client.generated.models.library_response_dto.LibraryResponseDto pydantic-model

Bases: BaseModel

LibraryResponseDto

Show JSON schema: 
{
  "description": "LibraryResponseDto",
  "properties": {
    "assetCount": {
      "description": "Number of assets",
      "maximum": 9007199254740991,
      "minimum": -9007199254740991,
      "title": "Assetcount",
      "type": "integer"
    },
    "createdAt": {
      "description": "Creation date",
      "examples": [
        "2024-01-01T00:00:00Z"
      ],
      "format": "date-time",
      "title": "Createdat",
      "type": "string"
    },
    "exclusionPatterns": {
      "description": "Exclusion patterns",
      "items": {
        "type": "string"
      },
      "title": "Exclusionpatterns",
      "type": "array"
    },
    "id": {
      "description": "Library ID",
      "format": "uuid",
      "title": "Id",
      "type": "string"
    },
    "importPaths": {
      "description": "Import paths",
      "items": {
        "type": "string"
      },
      "title": "Importpaths",
      "type": "array"
    },
    "name": {
      "description": "Library name",
      "title": "Name",
      "type": "string"
    },
    "ownerId": {
      "description": "Owner user ID",
      "format": "uuid",
      "title": "Ownerid",
      "type": "string"
    },
    "refreshedAt": {
      "anyOf": [
        {
          "format": "date-time",
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Last refresh date",
      "examples": [
        "2024-01-01T00:00:00Z"
      ],
      "title": "Refreshedat"
    },
    "updatedAt": {
      "description": "Last update date",
      "examples": [
        "2024-01-01T00:00:00Z"
      ],
      "format": "date-time",
      "title": "Updatedat",
      "type": "string"
    }
  },
  "required": [
    "assetCount",
    "createdAt",
    "exclusionPatterns",
    "id",
    "importPaths",
    "name",
    "ownerId",
    "refreshedAt",
    "updatedAt"
  ],
  "title": "LibraryResponseDto",
  "type": "object"
}

Config:

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

Fields:

Validators:

asset_count pydantic-field 

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

Number of assets

created_at pydantic-field 

created_at: datetime

Creation date

exclusion_patterns pydantic-field 

exclusion_patterns: List[StrictStr]

Exclusion patterns

id pydantic-field 

id: UUID

Library ID

import_paths pydantic-field 

import_paths: List[StrictStr]

Import paths

name pydantic-field 

name: StrictStr

Library name

owner_id pydantic-field 

owner_id: UUID

Owner user ID

refreshed_at pydantic-field 

refreshed_at: Optional[datetime]

Last refresh date

updated_at pydantic-field 

updated_at: datetime

Last update date

created_at_validate_regular_expression pydantic-validator 

created_at_validate_regular_expression(value)

Validates the regular expression

Source code in immichpy/client/generated/models/library_response_dto.py 
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@field_validator("created_at", mode="before")
def created_at_validate_regular_expression(cls, value):
    """Validates the regular expression"""
    if isinstance(value, str) and not re.match(
        r"^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))T(?:(?:[01]\d|2[0-3]):[0-5]\d(?::[0-5]\d(?:\.\d+)?)?(?:Z|([+-](?:[01]\d|2[0-3]):[0-5]\d)))$",
        value,
    ):
        raise ValueError(
            r"must validate the regular expression /^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))T(?:(?:[01]\d|2[0-3]):[0-5]\d(?::[0-5]\d(?:\.\d+)?)?(?:Z|([+-](?:[01]\d|2[0-3]):[0-5]\d)))$/"
        )
    return value

from_dict classmethod 

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

Create an instance of LibraryResponseDto from a dict

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

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

    _obj = cls.model_validate(
        {
            "assetCount": obj.get("assetCount"),
            "createdAt": obj.get("createdAt"),
            "exclusionPatterns": obj.get("exclusionPatterns"),
            "id": obj.get("id"),
            "importPaths": obj.get("importPaths"),
            "name": obj.get("name"),
            "ownerId": obj.get("ownerId"),
            "refreshedAt": obj.get("refreshedAt"),
            "updatedAt": obj.get("updatedAt"),
        }
    )
    return _obj

from_json classmethod 

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

Create an instance of LibraryResponseDto from a JSON string

Source code in immichpy/client/generated/models/library_response_dto.py 
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@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
    """Create an instance of LibraryResponseDto 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/library_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

owner_id_validate_regular_expression pydantic-validator 

owner_id_validate_regular_expression(value)

Validates the regular expression

Source code in immichpy/client/generated/models/library_response_dto.py 
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@field_validator("owner_id", mode="before")
def owner_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

refreshed_at_validate_regular_expression pydantic-validator 

refreshed_at_validate_regular_expression(value)

Validates the regular expression

Source code in immichpy/client/generated/models/library_response_dto.py 
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@field_validator("refreshed_at", mode="before")
def refreshed_at_validate_regular_expression(cls, value):
    """Validates the regular expression"""
    if value is None:
        return value

    if isinstance(value, str) and not re.match(
        r"^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))T(?:(?:[01]\d|2[0-3]):[0-5]\d(?::[0-5]\d(?:\.\d+)?)?(?:Z|([+-](?:[01]\d|2[0-3]):[0-5]\d)))$",
        value,
    ):
        raise ValueError(
            r"must validate the regular expression /^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))T(?:(?:[01]\d|2[0-3]):[0-5]\d(?::[0-5]\d(?:\.\d+)?)?(?:Z|([+-](?:[01]\d|2[0-3]):[0-5]\d)))$/"
        )
    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/library_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,
    )
    # set to None if refreshed_at (nullable) is None
    # and model_fields_set contains the field
    if self.refreshed_at is None and "refreshed_at" in self.model_fields_set:
        _dict["refreshedAt"] = None

    return _dict

to_json 

to_json() -> str

Returns the JSON representation of the model using alias

Source code in immichpy/client/generated/models/library_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/library_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))

updated_at_validate_regular_expression pydantic-validator 

updated_at_validate_regular_expression(value)

Validates the regular expression

Source code in immichpy/client/generated/models/library_response_dto.py 
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@field_validator("updated_at", mode="before")
def updated_at_validate_regular_expression(cls, value):
    """Validates the regular expression"""
    if isinstance(value, str) and not re.match(
        r"^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))T(?:(?:[01]\d|2[0-3]):[0-5]\d(?::[0-5]\d(?:\.\d+)?)?(?:Z|([+-](?:[01]\d|2[0-3]):[0-5]\d)))$",
        value,
    ):
        raise ValueError(
            r"must validate the regular expression /^(?:(?:\d\d[2468][048]|\d\d[13579][26]|\d\d0[48]|[02468][048]00|[13579][26]00)-02-29|\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\d|30)|(?:02)-(?:0[1-9]|1\d|2[0-8])))T(?:(?:[01]\d|2[0-3]):[0-5]\d(?::[0-5]\d(?:\.\d+)?)?(?:Z|([+-](?:[01]\d|2[0-3]):[0-5]\d)))$/"
        )
    return value