BacktestEventBatch

class openstef_beam.backtesting.backtest_event.BacktestEventBatch(**data: Any) → None

Bases: BaseModel

Represents a batch of backtest events that can be processed together.

Encapsulates the logic for determining if events can be batched and provides a clean interface for processing different types of event groups.

Parameters:

data (Any)

events: list[BacktestEvent]

property batch_type: Literal['train', 'predict_batch', 'predict_single']

Determine the type of batch for processing logic.

property is_training: bool

Check if this batch contains a training event.

property is_prediction: bool

Check if this batch contains prediction events.

__len__() → int

Return the number of events in this batch.

Return type:

int

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'protected_namespaces': (), 'ser_json_inf_nan': 'null'}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].