def test_bpmn_exporting(self):
bpmn_graph = bpmn_importer.apply(
os.path.join("input_data", "running-example.bpmn"))
bpmn_exporter.apply(
bpmn_graph, os.path.join("test_output_data",
"running-example.bpmn"))
os.remove(os.path.join("test_output_data", "running-example.bpmn"))
def execute_script():
log_path = os.path.join(
os.path.join("..", "tests", "input_data", "running-example.xes"))
log = xes_import.apply(log_path)
ptree = inductive_miner.apply_tree(log)
bpmn = pt_converter.apply(ptree, variant=pt_converter.Variants.TO_BPMN)
#bpmn = bpmn_layouter.apply(bpmn)
bpmn_exporter.apply(bpmn, "stru.bpmn")
os.remove("stru.bpmn")
def write_bpmn(bpmn_graph, file_path, enable_layout=True):
"""
Writes a BPMN to a file
Parameters
---------------
bpmn_graph
BPMN
file_path
Destination path
enable_layout
Enables the automatic layouting of the BPMN diagram (default: True)
"""
if enable_layout:
from pm4py.objects.bpmn.layout import layouter
bpmn_graph = layouter.apply(bpmn_graph)
from pm4py.objects.bpmn.exporter import exporter
exporter.apply(bpmn_graph, file_path)
bpmn_output_path = bpmn_output_path.name
log_path = os.path.join(LOGS_FOLDER, log_name)
print("")
print(log_path)
log = pm4py.read_xes(log_path)
fp_log = pm4py.algo.discovery.footprints.log.variants.entire_event_log.apply(
log)
net, im, fm = pm4py.discover_petri_net_heuristics(log)
fitness0 = pm4py.evaluate_fitness_alignments(log, net, im, fm)
precision0 = pm4py.evaluate_precision_alignments(log, net, im, fm)
print("fitness 0", fitness0)
print("precision 0", precision0)
bpmn_graph = pm4py.objects.conversion.wf_net.variants.to_bpmn.apply(
net, im, fm)
bpmn_graph = layouter.apply(bpmn_graph)
exporter.apply(bpmn_graph, bpmn_output_path)
bpmn_graph = importer.apply(bpmn_output_path)
bpmn_graph = layouter.apply(bpmn_graph)
# gets the net back
net, im, fm = pm4py.objects.conversion.bpmn.variants.to_petri_net.apply(
bpmn_graph)
gviz = pn_visualizer.apply(net, im, fm)
pn_visualizer.view(gviz)
fitness1 = pm4py.evaluate_fitness_alignments(log, net, im, fm)
precision1 = pm4py.evaluate_precision_alignments(log, net, im, fm)
print("fitness 1", fitness1, fitness0 == fitness1)
print("precision 1", precision1, precision0 == precision1)
if not (fitness0 == fitness1 and precision0 == precision1):
print("ALERT")
input()
