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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()
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