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()