Outputs

Running the pipeline (via main.py or Sensor2EventLogPipeline.run) produces the following artifacts.

Event log (event_log.csv)

The raw interval event log with one row per decoded activity segment:

Column	Description
case_id	Identifier of the batch/case the segment belongs to.
activity	The decoded process state / activity name.
start_timestamp / end_timestamp	Segment boundaries.
duration_seconds	Segment length.
event_count	Number of raw timestamps folded into the segment.

Filtered event log (filtered_log.csv)

The same log with segments shorter than min_duration_seconds removed, to eliminate spurious flickers between states before feeding the log into process discovery.

Gantt chart (gantt_chart.png)

A per-case Gantt-style visualization of activity segments over time, generated with the settings in config.VISUALIZATION_CONFIG.

Results summary (results.txt)

A plain-text capture of everything printed during the run — feature computation, rule diagnostics, evaluation metrics — useful for keeping a record of a specific pipeline run alongside its outputs.

Other export formats

Beyond the CSV outputs above, the returned EventLog object also supports:

event_log.to_xes("event_log.xes")     # XES for process-mining tools
event_log.to_pm4py()                  # PM4Py-compatible event log object

See Usage for how to obtain the EventLog object.