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| import os | |
| from pm4py.algo.discovery.inductive import algorithm as inductive_miner | |
| from pm4py.objects.log.importer.xes import importer as xes_importer | |
| from pm4py.objects.conversion.process_tree import converter as process_tree_converter | |
| from examples import examples_conf | |
| import importlib.util | |
| def execute_script(): | |
| # import the log | |
| log_path = os.path.join("..", "tests", "input_data", "receipt.xes") | |
| log = xes_importer.apply(log_path) | |
| # apply Inductive Miner | |
| process_tree = inductive_miner.apply(log) | |
| net, initial_marking, final_marking = process_tree_converter.apply(process_tree) | |
| if importlib.util.find_spec("graphviz"): | |
| from pm4py.visualization.petri_net import visualizer as pn_vis | |
| # get visualization | |
| variant = pn_vis.Variants.PERFORMANCE | |
| parameters_viz = {pn_vis.Variants.PERFORMANCE.value.Parameters.AGGREGATION_MEASURE: "mean", pn_vis.Variants.PERFORMANCE.value.Parameters.FORMAT: examples_conf.TARGET_IMG_FORMAT} | |
| gviz = pn_vis.apply(net, initial_marking, final_marking, log=log, variant=variant, | |
| parameters=parameters_viz) | |
| pn_vis.view(gviz) | |
| # do another visualization with frequency | |
| variant = pn_vis.Variants.FREQUENCY | |
| parameters_viz = {pn_vis.Variants.FREQUENCY.value.Parameters.FORMAT: examples_conf.TARGET_IMG_FORMAT} | |
| gviz = pn_vis.apply(net, initial_marking, final_marking, log=log, variant=variant, | |
| parameters=parameters_viz) | |
| pn_vis.view(gviz) | |
| if __name__ == "__main__": | |
| execute_script() | |