Source code for pm4py.objects.bpmn.exporter.exporter

'''
    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 enum import Enum

from pm4py.objects.bpmn.exporter.variants import etree
from pm4py.util import exec_utils


[docs] class Variants(Enum): ETREE = etree
DEFAULT_VARIANT = Variants.ETREE
[docs] def apply(bpmn_graph, target_path, variant=DEFAULT_VARIANT, parameters=None): """ Exports the BPMN diagram to a file Parameters ------------- bpmn_graph BPMN diagram target_path Target path variant Variant of the algorithm to use, possible values: - Variants.ETREE parameters Possible parameters of the algorithm """ if parameters is None: parameters = {} return exec_utils.get_variant(variant).apply( bpmn_graph, target_path, parameters=parameters )
[docs] def serialize(bpmn_graph, variant=DEFAULT_VARIANT, parameters=None): """ Serializes the BPMN object into a binary string Parameters ------------- bpmn_graph BPMN diagram variant Variant of the algorithm to use, possible values: - Variants.ETREE parameters Possible parameters of the algorithm Returns ------------- serialization Binary string (BPMN 2.0 XML standard) """ if parameters is None: parameters = {} return exec_utils.get_variant(variant).get_xml_string( bpmn_graph, parameters=parameters )