Source code for pm4py.visualization.common.gview

'''
    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 tempfile

from pm4py.util import vis_utils, constants
from pm4py.visualization.common import dot_util, html
from io import BytesIO
from graphviz import Digraph


[docs] def view(gviz, parameters=None): """ View the diagram Parameters ----------- gviz GraphViz diagram """ if constants.DEFAULT_ENABLE_VISUALIZATIONS_VIEW: if constants.DEFAULT_GVIZ_VIEW == "matplotlib_view": return matplotlib_view(gviz, parameters=parameters) format = str(gviz.format).lower().replace("plain-ext", "html") is_dot_installed = dot_util.check_dot_installed() if format.startswith("html"): html.view(gviz, parameters=parameters) elif vis_utils.check_visualization_inside_jupyter(): vis_utils.view_image_in_jupyter(gviz.render()) elif format == "gv": print(str(gviz)) else: return gviz.view(cleanup=True)
[docs] def matplotlib_view(gviz, parameters=None): """ Views the diagram using Matplotlib Parameters --------------- gviz Graphviz """ if constants.DEFAULT_ENABLE_VISUALIZATIONS_VIEW: format = str(gviz.format).lower() is_dot_installed = dot_util.check_dot_installed() from pm4py.visualization.common import save import matplotlib.pyplot as plt import matplotlib.image as mpimg file_name = tempfile.NamedTemporaryFile(suffix="." + format) file_name.close() save.save(gviz, file_name.name) img = mpimg.imread(file_name.name) plt.axis("off") plt.tight_layout(pad=0, w_pad=0, h_pad=0) plt.imshow(img) plt.show()
[docs] def serialize_dot(gviz: Digraph, parameters=None) -> bytes: """ Serialize the DOT instructions of a Graphviz object Parameters -------------- gviz Graphviz object Returns -------------- bytes_string String containing the DOT instructions """ dot = str(gviz) f = BytesIO() f.write(dot.encode(constants.DEFAULT_ENCODING)) return f.getvalue()
[docs] def serialize(gviz: Digraph, parameters=None) -> bytes: """ Serialize the image rendered from a Graphviz object Parameters --------------- gviz Graphviz object Returns --------------- bytes_string String containing the picture """ render = gviz.render(cleanup=True) with open(render, "rb") as f1: return f1.read()