Source code for pm4py.visualization.ocel.ocdfg.visualizer
'''
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
'''
from graphviz import Digraph
from enum import Enum
from pm4py.util import exec_utils
from pm4py.visualization.ocel.ocdfg.variants import classic, elkjs
from typing import Optional, Dict, Any
[docs]
class Variants(Enum):
CLASSIC = classic
ELKJS = elkjs
[docs]
def apply(
ocdfg: Dict[str, Any],
variant=Variants.CLASSIC,
parameters: Optional[Dict[Any, Any]] = None,
) -> Digraph:
"""
Visualizes an OC-DFG using one of the provided visualizations.
Parameters
----------------
ocdfg
Object-centric directly-follows graph
variant
Available variants. Possible values:
- Variants.CLASSIC
parameters
Variant-specific parameters
Returns
----------------
viz
Graphviz DiGraph
"""
return exec_utils.get_variant(variant).apply(ocdfg, parameters)
[docs]
def save(
gviz, output_file_path: str, variant=Variants.CLASSIC, parameters=None
):
"""
Saves the diagram
"""
return exec_utils.get_variant(variant).save(
gviz, output_file_path, parameters
)
[docs]
def view(gviz, variant=Variants.CLASSIC, parameters=None):
"""
Views the diagram
"""
return exec_utils.get_variant(variant).view(gviz, parameters)
[docs]
def matplotlib_view(gviz, variant=Variants.CLASSIC, parameters=None):
"""
Views the diagram using Matplotlib
"""
return exec_utils.get_variant(variant).matplotlib_view(gviz, parameters)