pm4py.objects.dfg.importer package#

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

Subpackages#

Submodules#

pm4py.objects.dfg.importer.importer module#

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

class pm4py.objects.dfg.importer.importer.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

CLASSIC = <module 'pm4py.objects.dfg.importer.variants.classic' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\objects\\dfg\\importer\\variants\\classic.py'>#
pm4py.objects.dfg.importer.importer.apply(file_path, variant=Variants.CLASSIC, parameters=None)[source]#

Import a DFG (along with the start and end activities)

Parameters#

file_path

Path of the DFG file

variant
Variant of the importer, possible values:
  • Variants.CLASSIC: importing from a .dfg file

parameters

Possible parameters of the algorithm

Returns#

dfg

DFG

start_activities

Start activities

end_activities

End activities

pm4py.objects.dfg.importer.importer.deserialize(dfg_string, variant=Variants.CLASSIC, parameters=None)[source]#

Import a DFG from a binary/textual string

Parameters#

dfg_string

DFG represented as a string in the .dfg format

variant
Variant of the importer, possible values:
  • Variants.CLASSIC: importing from a .dfg file

parameters

Possible parameters of the algorithm

Returns#

dfg

DFG

start_activities

Start activities

end_activities

End activities