Source code for pm4py.visualization.graphs.util.common
'''
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see this software project's root or
visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions
Contact: info@processintelligence.solutions
'''
import shutil
import tempfile
from pm4py.util import vis_utils, constants
[docs]
def get_temp_file_name(format):
"""
Gets a temporary file name for the image
Parameters
------------
format
Format of the target image
"""
filename = tempfile.NamedTemporaryFile(suffix="." + format)
name = filename.name
filename.close()
return name
[docs]
def save(temp_file_name, target_path):
"""
Saves the temporary image associated to the graph to the specified path
Parameters
--------------
temp_file_name
Path to the temporary file hosting the graph
target_path
Path where the image shall eventually be saved
"""
shutil.copyfile(temp_file_name, target_path)
return ""
[docs]
def view(temp_file_name):
"""
View the graph
Parameters
------------
temp_file_name
Path to the temporary file hosting the graph
"""
if constants.DEFAULT_ENABLE_VISUALIZATIONS_VIEW:
if constants.DEFAULT_GVIZ_VIEW == "matplotlib_view":
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
img = mpimg.imread(temp_file_name)
plt.axis("off")
plt.tight_layout(pad=0, w_pad=0, h_pad=0)
plt.imshow(img)
plt.show()
return
if vis_utils.check_visualization_inside_jupyter():
vis_utils.view_image_in_jupyter(temp_file_name)
else:
vis_utils.open_opsystem_image_viewer(temp_file_name)
[docs]
def matplotlib_view(temp_file_name):
"""
Views the diagram using Matplotlib
Parameters
---------------
temp_file_name
Path to the temporary file hosting the graph
"""
if constants.DEFAULT_ENABLE_VISUALIZATIONS_VIEW:
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
img = mpimg.imread(temp_file_name)
plt.imshow(img)
plt.show()
[docs]
def serialize(temp_file_name: str) -> bytes:
"""
Serializes the graph
Parameters
------------
temp_file_name
Path to the temporary file hosting the graph
"""
with open(temp_file_name, "rb") as f:
return f.read()