def test_importExportCSVtoCSV(self):
# to avoid static method warnings in tests,
# that by construction of the unittest package have to be expressed in such way
self.dummy_variable = "dummy_value"
event_log = csv_importer.import_log(
os.path.join(INPUT_DATA_DIR, "running-example.csv"))
event_log = sorting.sort_timestamp(event_log)
event_log = sampling.sample(event_log)
event_log = index_attribute.insert_event_index_as_event_attribute(
event_log)
trace_log = log_transform.transform_event_log_to_trace_log(event_log)
trace_log = sorting.sort_timestamp(trace_log)
trace_log = sampling.sample(trace_log)
trace_log = index_attribute.insert_trace_index_as_event_attribute(
trace_log)
event_log_transformed = log_transform.transform_trace_log_to_event_log(
trace_log)
csv_exporter.export_log(
event_log_transformed,
os.path.join(OUTPUT_DATA_DIR, "running-example-exported.csv"))
event_log_imported_after_export = csv_importer.import_log(
os.path.join(OUTPUT_DATA_DIR, "running-example-exported.csv"))
trace_log_imported_after_export = log_transform.transform_event_log_to_trace_log(
event_log_imported_after_export)
self.assertEqual(len(trace_log), len(trace_log_imported_after_export))
os.remove(os.path.join(OUTPUT_DATA_DIR,
"running-example-exported.csv"))
def test_csv1documentation(self):
# to avoid static method warnings in tests,
# that by construction of the unittest package have to be expressed in such way
self.dummy_variable = "dummy_value"
import os
from pm4py.objects.log.importer.csv import factory as csv_importer
event_log = csv_importer.import_log(
os.path.join("input_data", "running-example.csv"))
event_log_length = len(event_log)
del event_log_length
from pm4py.objects.log import transform
trace_log = transform.transform_event_log_to_trace_log(
event_log, case_glue="case:concept:name")
del trace_log
from pm4py.objects.log.importer.csv.versions import pandas_df_imp
from pm4py.objects.log import transform
dataframe = pandas_df_imp.import_dataframe_from_path(
os.path.join("input_data", "running-example.csv"))
event_log = pandas_df_imp.convert_dataframe_to_event_log(dataframe)
trace_log = transform.transform_event_log_to_trace_log(
event_log, case_glue="case:concept:name")
from pm4py.objects.log.exporter.csv import factory as csv_exporter
csv_exporter.export_log(event_log, "outputFile1.csv")
os.remove("outputFile1.csv")
from pm4py.objects.log.exporter.csv import factory as csv_exporter
csv_exporter.export_log(trace_log, "outputFile2.csv")
os.remove("outputFile2.csv")
def obtainPetriNetThroughImdf(self, log_name):
# to avoid static method warnings in tests,
# that by construction of the unittest package have to be expressed in such way
self.dummy_variable = "dummy_value"
if ".xes" in log_name:
trace_log = xes_importer.import_log(log_name)
else:
event_log = csv_importer.import_log(log_name)
trace_log = log_transform.transform_event_log_to_trace_log(event_log)
net, marking, final_marking = inductive_miner.apply(trace_log, None)
return trace_log, net, marking, final_marking
def obtainPetriNetThroughAlphaMiner(self, log_name):
# to avoid static method warnings in tests,
# that by construction of the unittest package have to be expressed in such way
self.dummy_variable = "dummy_value"
if ".xes" in log_name:
trace_log = xes_importer.import_log(log_name)
else:
event_log = csv_importer.import_log(log_name)
trace_log = log_transform.transform_event_log_to_trace_log(
event_log)
net, marking, fmarking = alpha_factory.apply(trace_log)
soundness = check_soundness.check_petri_wfnet_and_soundness(net)
del soundness
return trace_log, net, marking, fmarking
def test_importExportXEStoCSV(self):
# to avoid static method warnings in tests,
# that by construction of the unittest package have to be expressed in such way
self.dummy_variable = "dummy_value"
trace_log = xes_importer.import_log(
os.path.join(INPUT_DATA_DIR, "running-example.xes"))
event_log = log_transform.transform_trace_log_to_event_log(trace_log)
csv_exporter.export_log(
event_log,
os.path.join(OUTPUT_DATA_DIR, "running-example-exported.csv"))
event_log_newimport = csv_importer.import_log(
os.path.join(OUTPUT_DATA_DIR, "running-example-exported.csv"))
trace_log_imported_after_export = log_transform.transform_event_log_to_trace_log(
event_log_newimport)
self.assertEqual(len(trace_log), len(trace_log_imported_after_export))
os.remove(os.path.join(OUTPUT_DATA_DIR,
"running-example-exported.csv"))
from pm4py.objects.log.importer.csv import factory as csv_importer
import pm4py.objects.log.transform as log_transform
from pm4py.objects.log.exporter.xes import factory as xes_exporter
import os
event_log = csv_importer.import_log(os.path.join("running-example.csv"))
event_log.sort()
trace_log = log_transform.transform_event_log_to_trace_log(event_log)
trace_log.sort()
trace_log.sample()
trace_log.insert_trace_index_as_event_attribute()
xes_exporter.export_log(trace_log, "export_running-example.xes")
