storage

inventory

pydantic model ochra.manager.proxy_models.storage.inventory.Inventory

Bases: Inventory, RestProxyMixin

Inventory model representing a collection of containers and consumables. An inventory is typically associated with a station or device in the framework.

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.

Fields:

• cls ()

• collection ()

• consumables ()

• containers ()

• containers_max_capacity ()

• id ()

• module_path ()

• owner ()

field cls: str = None

The class name of the data model.

field collection: str = None

The name of the collection where the data model will be stored.

field consumables: List[Consumable] [Optional]

List of consumable items in the inventory.

field containers: List[Type[Container]] [Optional]

List of container instances in the inventory.

field containers_max_capacity: int [Required]

Maximum number of containers allowed.

field id: uuid.UUID [Optional]

Unique identifier for the data model instance.

field module_path: str = None

The module path of the data model.

field owner: DataModel [Required]

Reference to the entity that owns the inventory.