def execute_script():
log = xes_importer.apply(
os.path.join("..", "tests", "input_data", "running-example.xes"))
hw_values = sna_algorithm.apply(
log, variant=sna_algorithm.Variants.HANDOVER_LOG)
wt_values = sna_algorithm.apply(
log, variant=sna_algorithm.Variants.WORKING_TOGETHER_LOG)
sub_values = sna_algorithm.apply(
log, variant=sna_algorithm.Variants.SUBCONTRACTING_LOG)
ja_values = sna_algorithm.apply(
log, variant=sna_algorithm.Variants.JOINTACTIVITIES_LOG)
gviz_sub = pn_vis.apply(
sub_values,
variant=pn_vis.Variants.NETWORKX,
parameters={pn_vis.Variants.NETWORKX.value.Parameters.FORMAT: "svg"})
gviz_hw = pn_vis.apply(hw_values, variant=pn_vis.Variants.PYVIS)
gviz_wt = pn_vis.apply(
wt_values,
variant=pn_vis.Variants.NETWORKX,
parameters={pn_vis.Variants.NETWORKX.value.Parameters.FORMAT: "svg"})
gviz_ja = pn_vis.apply(ja_values, variant=pn_vis.Variants.PYVIS)
pn_vis.view(gviz_sub, variant=pn_vis.Variants.NETWORKX)
pn_vis.view(gviz_hw, variant=pn_vis.Variants.PYVIS)
pn_vis.view(gviz_wt, variant=pn_vis.Variants.NETWORKX)
pn_vis.view(gviz_ja, variant=pn_vis.Variants.PYVIS)
def view_sna(sna_metric):
"""
Represents a SNA metric (.html)
Parameters
---------------
sna_metric
Values of the metric
"""
from pm4py.visualization.sna import visualizer as sna_visualizer
gviz = sna_visualizer.apply(sna_metric, variant=sna_visualizer.Variants.PYVIS)
sna_visualizer.view(gviz)
def save_vis_sna(sna_metric, file_path: str):
"""
Saves the visualization of a SNA metric in a .html file
Parameters
----------------
sna_metric
Values of the metric
file_path
Destination path
"""
from pm4py.visualization.sna import visualizer as sna_visualizer
gviz = sna_visualizer.apply(sna_metric, variant=sna_visualizer.Variants.PYVIS)
sna_visualizer.save(gviz, file_path)
from enum import Enum
log = xes_importer.apply(
'/Users/jiao.shuai.1998.12.01outlook.com/code/07.01.2021/DES1/testfile/test.xes'
)
'''
dataframe = log_converter.apply(log, variant=log_converter.Variants.TO_DATA_FRAME)
dataframe.to_csv('/Users/jiao.shuai.1998.12.01outlook.com/code/07.01.2021/DES1/testfile/running-example.csv')
'''
'''
tree = inductive_miner.apply_tree(log)
gviz = pt_visualizer.apply(tree, parameters={pt_visualizer.Variants.WO_DECORATION.value.Parameters.FORMAT: "png"})
pt_visualizer.save(gviz,"/Users/jiao.shuai.1998.12.01outlook.com/code/07.01.2021/DES1/testfile/ptree.png")
'''
hw_values = sna.apply(log, variant=sna.Variants.HANDOVER_LOG)
gviz_hw_py = sna_visualizer.apply(hw_values,
variant=sna_visualizer.Variants.PYVIS)
#sna_visualizer.view(gviz_hw_py, variant=sna_visualizer.Variants.PYVIS)
#sna_visualizer.save(gviz_hw_py,"/Users/jiao.shuai.1998.12.01outlook.com/code/07.01.2021/DES1/testfile/handover.png")
def findlabel(tree, list):
if tree.children != []:
for child in tree.children:
#if child.operator != pt_operator.Operator.LOOP:
findlabel(child, list)
else:
if tree.label != None:
#print(tree.label,"tree.label")
list.append(tree.label)