pixano.features.schemas.items.item

Item(created_at=None, updated_at=None, **data)

Bases: BaseSchema

Item base class.

Items are used to store information about an item in a dataset. It contains at least a split attribute. It also federates the information about the item's views, entities, annotations, embeddings, etc via its id.

Attributes:

Name	Type	Description
split	str	Split of the item.

Raises ValidationError if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:

Name	Type	Description	Default
created_at	datetime | None	The creation date of the object.	None
updated_at	datetime | None	The last modification date of the object.	None
data	Any	The data of the object validated by Pydantic.	{}

Source code in pixano/features/schemas/base_schema.py

def __init__(self, /, created_at: datetime | None = None, updated_at: datetime | None = None, **data: Any):
    """Create a new model by parsing and validating input data from keyword arguments.

    Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be
    validated to form a valid model.

    `self` is explicitly positional-only to allow `self` as a field name.

    Args:
        created_at: The creation date of the object.
        updated_at: The last modification date of the object.
        data: The data of the object validated by Pydantic.
    """
    created_at, updated_at = validate_and_init_create_at_and_update_at(created_at, updated_at)
    data.update({"created_at": created_at, "updated_at": updated_at})
    super().__init__(**data)

is_item(cls, strict=False)

Check if a class is an Item or subclass of Item.

Source code in pixano/features/schemas/items/item.py

def is_item(cls: type, strict: bool = False) -> bool:
    """Check if a class is an `Item` or subclass of `Item`."""
    return issubclass_strict(cls, Item, strict)