Source code for pm4py.objects.bpmn.importer.importer
'''
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.importer.variants import lxml
from pm4py.util import exec_utils
[docs]
class Variants(Enum):
LXML = lxml
DEFAULT_VARIANT = Variants.LXML
[docs]
def apply(path, variant=DEFAULT_VARIANT, parameters=None):
"""
Imports a BPMN diagram from a file
Parameters
-------------
path
Path to the file
variant
Variant of the algorithm to use, possible values:
- Variants.LXML
parameters
Parameters of the algorithm
Returns
-------------
bpmn_graph
BPMN graph
"""
if parameters is None:
parameters = {}
return exec_utils.get_variant(variant).apply(path, parameters=parameters)
[docs]
def deserialize(bpmn_string, variant=DEFAULT_VARIANT, parameters=None):
"""
Deserialize a text/binary string representing a BPMN 2.0
Parameters
-------------
bpmn_string
BPMN string
variant
Variant of the algorithm to use, possible values:
- Variants.LXML
parameters
Parameters of the algorithm
Returns
-------------
bpmn_graph
BPMN graph
"""
if parameters is None:
parameters = {}
return exec_utils.get_variant(variant).import_from_string(
bpmn_string, parameters=parameters
)