def main():
real_log = import_xes("data/benchmark/GTlog-11.xes", "concept:name")
model_log = generate_playout(
*import_petri_net("data/benchmark/alpha-11.pnml"), "concept:name")
result = Act2VecWmdConformance().execute(model_log, real_log)
print(result.calc_precision())
print(result.calc_fitness())
def load(variant, id):
if variant in ["alpha", "ilp", "ind0", "ind1", "PN"]:
ext = "pnml"
else:
ext = "xes"
path = os.path.join("data", "benchmark", "%s-%d.%s" % (variant, id, ext))
if ext == "pnml":
return cc.generate_playout(*cc.import_petri_net(path), "concept:name")
else:
return cc.import_xes(path, "concept:name")
import os
from conformance_checking import import_xes, import_petri_net, generate_playout
if __name__ == "__main__":
absPath = os.path.abspath(__file__)
fileDir = os.path.dirname(absPath)
code = os.path.dirname(fileDir)
data = os.path.join(code, "data")
print("Running the import_xes() Method to import an event log...")
log_data = import_xes(os.path.join(data, "log_test.xes"), "concept:name")
print(""" The output of the method is a List[List[str]],
where the entry i,j is the j-th activity name of the i-th trace.""")
print("Output: ", log_data)
print("Running the import_petri_net() Method to import a petri net...")
net, im, fm = import_petri_net(os.path.join(data, "petri_net_small.pnml"))
print("Aquired a petri net, an initial marking and a final marking.")
print(
"Running the generate_playout() Method to generate a playout of the petri net..."
)
playout = generate_playout(net, im, fm, "concept:name")
print("""The output of the method is a List[List[str]], where the entry i,j
is the j-th activity name of the i-th trace.""")
print("Output (only first 10): ", playout[:10])
from conformance_checking.embedding.embedding_generator import (
ActivityEmbeddingGenerator,
TraceEmbeddingGenerator,
)
from conformance_checking import import_xes
import os
if __name__ == "__main__":
# load a log with our importer
absPath = os.path.abspath(__file__)
fileDir = os.path.dirname(absPath)
code = os.path.dirname(fileDir)
data = os.path.join(code, "data")
log = import_xes(
os.path.join(data, "BPI_Challenge_2012.xes"), "concept:name", limit=2000
)
"""
example for generating each activity and trace embeddings
"""
act_emb_gen = ActivityEmbeddingGenerator(log, act2vec_windows_size=4, num_ns=4)
# start training manually
act_emb_gen.start_training()
trace_emb_gen = TraceEmbeddingGenerator(
log, trace2vec_windows_size=4, auto_train=True
)
# create example model and real log
def test_import_xes():
assert import_xes(os.path.join(data, "log_test.xes"), "concept:name") == [
["register request", "examine casually", "check ticket"],
["register request", "decide"],
], str(data)