pm4py.algo.discovery.batches.utils.detection module

class pm4py.algo.discovery.batches.utils.detection.Parameters(*values)

Bases: Enum

MERGE_DISTANCE = 'merge_distance'

MIN_BATCH_SIZE = 'min_batch_size'

class pm4py.algo.discovery.batches.utils.detection.BatchType(*values)

Bases: Enum

SIMULTANEOUS = 'Simultaneous'

BATCHING_START = 'Batching on Start'

BATCHING_END = 'Batching on End'

SEQ_BATCHING = 'Sequential batching'

CONC_BATCHING = 'Concurrent batching'

pm4py.algo.discovery.batches.utils.detection.detect(actres_grouping: Dict[Tuple[str, str], List[Tuple[float, float, str]]], parameters: Dict[str | Parameters, Any] | None = None) → List[Tuple[Tuple[str, str], int, Dict[str, Any]]]

Provided an activity-resource grouping of the events of the event log, returns a list having as elements the activity-resources with the batches that are detected, divided in: - Simultaneous (all the events in the batch have identical start and end timestamps) - Batching at start (all the events in the batch have identical start timestamp) - Batching at end (all the events in the batch have identical end timestamp) - Sequential batching (for all the consecutive events, the end of the first is equal to the start of the second) - Concurrent batching (for all the consecutive events that are not sequentially matched)

The approach has been described in the following paper: Martin, N., Swennen, M., Depaire, B., Jans, M., Caris, A., & Vanhoof, K. (2015, December). Batch Processing: Definition and Event Log Identification. In SIMPDA (pp. 137-140).

Parameters:

• actres_grouping – Activity-resource grouping of events

• parameters – Parameters of the algorithm

Returns:

A (sorted) list containing tuples. Each tuple contain: - Index 0: the activity-resource for which at least one batch has been detected - Index 1: the number of batches for the given activity-resource - Index 2: a list containing all the batches. Each batch is described by:

# The start timestamp of the batch # The complete timestamp of the batch # The list of events that are executed in the batch

Return type:

list_batches