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import os
import time
import pm4py
from pm4py.algo.conformance.alignments.petri_net import algorithm as petri_alignments
from pm4py.algo.filtering.dfg import dfg_filtering
from pm4py.algo.conformance.alignments.dfg import algorithm as dfg_alignment
from pm4py.statistics.attributes.log import get
from pm4py.objects.petri_net.utils import align_utils
from examples import examples_conf
import importlib.util
def execute_script():
log = pm4py.read_xes(os.path.join("..", "tests", "input_data", "receipt.xes"))
print("number of cases", len(log))
print("number of events", sum(len(x) for x in log))
print("number of variants", len(pm4py.get_variants_as_tuples(log)))
ac = get.get_attribute_values(log, "concept:name")
dfg, sa, ea = pm4py.discover_dfg(log)
perc = 0.5
dfg, sa, ea, ac = dfg_filtering.filter_dfg_on_activities_percentage(dfg, sa, ea, ac, perc)
dfg, sa, ea, ac = dfg_filtering.filter_dfg_on_paths_percentage(dfg, sa, ea, ac, perc)
aa = time.time()
aligned_traces = dfg_alignment.apply(log, dfg, sa, ea)
bb = time.time()
net, im, fm = pm4py.convert_to_petri_net(dfg, sa, ea)
for trace in aligned_traces:
if trace["cost"] != trace["internal_cost"]:
print(trace)
pass
print(bb - aa)
print(sum(x["visited_states"] for x in aligned_traces))
print(sum(x["cost"] // align_utils.STD_MODEL_LOG_MOVE_COST for x in aligned_traces))
if importlib.util.find_spec("graphviz"):
from pm4py.visualization.dfg import visualizer
gviz = visualizer.apply(dfg, activities_count=ac, parameters={"start_activities": sa, "end_activities": ea,
"format": examples_conf.TARGET_IMG_FORMAT})
visualizer.view(gviz)
cc = time.time()
aligned_traces2 = petri_alignments.apply(log, net, im, fm,
variant=petri_alignments.Variants.VERSION_DIJKSTRA_LESS_MEMORY)
dd = time.time()
print(dd - cc)
print(sum(x["visited_states"] for x in aligned_traces2))
print(sum(x["cost"] // align_utils.STD_MODEL_LOG_MOVE_COST for x in aligned_traces2))
if __name__ == "__main__":
execute_script()
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