Source code for tests.bpmn_tests

import os
import unittest
import pm4py
from pm4py.objects.conversion.bpmn import converter as bpmn_converter
from pm4py.objects.conversion.process_tree import converter as tree_converter
from pm4py.objects.bpmn.importer import importer as bpmn_importer
from pm4py.objects.bpmn.layout import layouter as bpmn_layouter
from pm4py.objects.bpmn.exporter import exporter as bpmn_exporter


[docs]class BPMNTests(unittest.TestCase):
[docs] def test_tree_to_bpmn(self): log = pm4py.read_xes(os.path.join("input_data", "running-example.xes")) tree = pm4py.discover_process_tree_inductive(log) bpmn_graph = tree_converter.apply(tree, variant=tree_converter.Variants.TO_BPMN)
[docs] def test_bpmn_to_petri_net(self): log = pm4py.read_xes(os.path.join("input_data", "running-example.xes")) bpmn_graph = bpmn_importer.apply(os.path.join("input_data", "running-example.bpmn")) net, im, fm = bpmn_converter.apply(bpmn_graph, variant=bpmn_converter.Variants.TO_PETRI_NET) fitness_tbr = pm4py.fitness_token_based_replay(log, net, im, fm)
[docs] def test_bpmn_layouting(self): log = pm4py.read_xes(os.path.join("input_data", "running-example.xes")) tree = pm4py.discover_process_tree_inductive(log) bpmn_graph = tree_converter.apply(tree, variant=tree_converter.Variants.TO_BPMN) bpmn_graph = bpmn_layouter.apply(bpmn_graph)
[docs] 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"))
[docs] def test_bpmn_importing_and_layouting(self): bpmn_graph = bpmn_importer.apply(os.path.join("input_data", "running-example.bpmn")) bpmn_graph = bpmn_layouter.apply(bpmn_graph)
if __name__ == "__main__": unittest.main()