def test_workflow_working(self):
workflow = Workflow(self.dataset)
workflow.detect_workflow(25)
workflow.get_tree(25)
path_model="model/").start()
# Learn the correlations
size = 100000000
list_cardinalities = Dataset_learning(path_model="model/",
path_data="data/",
name_dataset="Test",
size=size).run()
worker = Worker(cardinalities_choosen=[4, 5, 6, 7],
list_cardinalities=list_cardinalities,
path_model="model/",
name_dataset="Test")
worker.train()
# Show the results
results = Results(path_model="model/", name_model="Test")
results.load_files()
results.compute_results(condition="Test")
results.print_results()
# Get the tree
dataset = Dataset_building(path_model="model/",
name_model="Test",
path_data="data/Windows/Windows.log",
index_line_max=30000,
parser_function=parser_function)
dataset.load_files()
dataset.load_logs()
workflow = Workflow(dataset)
workflow.get_tree(index_line=24712)
def test_workflow_after_last_line(self):
workflow = Workflow(self.dataset)
with self.assertRaises(Exception):
workflow.get_tree(40)