plexus.data.DataCache module
- class plexus.data.DataCache.DataCache(**parameters)
Bases:
ABC
A data cache is responsible for loading data from a source and caching it locally. This is an abstract base class that defines the interface and the parameter validation schema. Subclasses are responsible for implementing the actual data loading logic. Most subclasses will also need to extend the Parameters class to define any necessary parameters for getting the data.
Initialize the DataCache instance with the given parameters.
Parameters
- **parametersdict
Arbitrary keyword arguments that are used to initialize the Parameters instance.
Raises
- ValidationError
If the provided parameters do not pass validation.
- class Parameters(*, class_name: str = 'DataCache')
Bases:
BaseModel
Parameters for data caching. Override this class to define any necessary parameters for getting the data.
Attributes
- classstr
The name of the data cache class.
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.
- class_name: str
- model_config: ClassVar[ConfigDict] = {}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- __init__(**parameters)
Initialize the DataCache instance with the given parameters.
Parameters
- **parametersdict
Arbitrary keyword arguments that are used to initialize the Parameters instance.
Raises
- ValidationError
If the provided parameters do not pass validation.