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()