Spaces:
Sleeping
Sleeping
| from pm4py.objects.log.importer.xes import importer | |
| from pm4py.algo.filtering.log.variants import variants_filter | |
| from pm4py.algo.discovery.inductive import algorithm as inductive_miner | |
| from pm4py.objects.conversion.process_tree import converter | |
| from pm4py.algo.discovery.footprints import algorithm as footprints_discovery | |
| from pm4py.algo.conformance.footprints import algorithm as footprints_conformance | |
| import os | |
| from examples import examples_conf | |
| import importlib.util | |
| def execute_script(): | |
| # import a log | |
| log = importer.apply(os.path.join("..", "tests", "input_data", "receipt.xes")) | |
| # found a filtered version of the log that is used to discover a process model | |
| filtered_log = variants_filter.filter_log_variants_percentage(log, 0.2) | |
| # discover a process tree using inductive miner | |
| tree = inductive_miner.apply(filtered_log) | |
| print(tree) | |
| # apply the conversion of a process tree into a Petri net | |
| net, im, fm = converter.apply(tree) | |
| # Footprints discovery: discover a list of footprints | |
| # for all the cases of the log | |
| fp_log = footprints_discovery.apply(log) | |
| # discover the footpritns from the process tree | |
| fp_tree = footprints_discovery.apply(tree) | |
| # discover the footpritns from the Petri net | |
| fp_net = footprints_discovery.apply(net, im) | |
| print(len(fp_tree["sequence"]), len(fp_tree["parallel"]), len(fp_net["sequence"]), len(fp_net["parallel"])) | |
| print(fp_tree["sequence"] == fp_net["sequence"] and fp_tree["parallel"] == fp_net["parallel"]) | |
| # apply the footprints conformance checking | |
| conf = footprints_conformance.apply(fp_log, fp_net) | |
| for trace_an in conf: | |
| if trace_an: | |
| # print the first anomalous trace (containing deviations | |
| # that are contained in the trace but not allowed by the model) | |
| print(trace_an) | |
| break | |
| # finds the footprints for the entire log (not case-by-case, but taking | |
| # the relations that appear inside the entire log) | |
| fp_log_entire = footprints_discovery.apply(log, variant=footprints_discovery.Variants.ENTIRE_EVENT_LOG) | |
| if importlib.util.find_spec("graphviz"): | |
| # visualize the footprint table | |
| from pm4py.visualization.footprints import visualizer as fp_visualizer | |
| gviz = fp_visualizer.apply(fp_log_entire, fp_net, parameters={"format": examples_conf.TARGET_IMG_FORMAT}) | |
| fp_visualizer.view(gviz) | |
| if __name__ == "__main__": | |
| execute_script() | |