flexmeasures.data.schemas.scheduling.process

Classes

class flexmeasures.data.schemas.scheduling.process.OptimizationDirection(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

class flexmeasures.data.schemas.scheduling.process.ProcessSchedulerFlexModelSchema(sensor: Sensor, start: datetime, end: datetime, *args, **kwargs)

__init__(sensor: Sensor, start: datetime, end: datetime, *args, **kwargs): Pass start and end to convert time_restrictions into a time series and sensor as a fallback mechanism for the process_type

get_mask_from_events(events: list[dict[str, str]] | None) → Series

Convert events to a mask of the time periods that are valid

Parameters:: events – list of events defined as dictionaries with a start and duration
Returns:: mask of the allowed time periods

post_load_time_restrictions(data: dict, **kwargs) → dict: Convert events (list of [start, duration] pairs) into a mask (pandas Series)

pre_load_process_type(data: dict, **kwargs) → dict: Fallback mechanism for the process_type variable. If not found in data, it tries to find it in among the sensor or asset attributes and, if it’s not found there either, it defaults to “INFLEXIBLE”.

class flexmeasures.data.schemas.scheduling.process.ProcessType(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)