Source code for pm4py.objects.dfg.exporter.variants.classic

'''
    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 pm4py.util import exec_utils
from enum import Enum
from collections import Counter
from pm4py.objects.dfg.utils import dfg_utils
from pm4py.util import constants


[docs] class Parameters(Enum): START_ACTIVITIES = "start_activities" END_ACTIVITIES = "end_activities" ENCODING = "encoding"
[docs] def export_line_by_line(dfg, parameters=None): """ Exports a DFG into the .dfg format - Line by line yielding Parameters -------------- dfg DFG parameters Parameters of the algorithm Returns -------------- line Lines of the .dfg file (yielded one-by-one) """ if parameters is None: parameters = {} start_activities = exec_utils.get_param_value( Parameters.START_ACTIVITIES, parameters, Counter(dfg_utils.infer_start_activities(dfg)), ) end_activities = exec_utils.get_param_value( Parameters.END_ACTIVITIES, parameters, Counter(dfg_utils.infer_end_activities(dfg)), ) if len(start_activities) == 0: raise Exception( "error: impossible to determine automatically the start activities from the DFG. Please specify them manually through the START_ACTIVITIES parameter" ) if len(end_activities) == 0: raise Exception( "error: impossible to determine automatically the end activities from the DFG. Please specify them manually through the END_ACTIVITIES parameter" ) activities = list(set(x[0] for x in dfg).union(set(x[1] for x in dfg))) yield "%d\n" % (len(activities)) for act in activities: yield "%s\n" % (act) yield "%d\n" % (len(start_activities)) for act, count in start_activities.items(): yield "%dx%d\n" % (activities.index(act), count) yield "%d\n" % (len(end_activities)) for act, count in end_activities.items(): yield "%dx%d\n" % (activities.index(act), count) for el, count in dfg.items(): yield "%d>%dx%d\n" % ( activities.index(el[0]), activities.index(el[1]), count, )
[docs] def apply(dfg, output_path, parameters=None): """ Exports a DFG into a .dfg file Parameters ---------------- dfg Directly-Follows Graph output_path Output path parameters Parameters of the algorithm, including: Parameters.START_ACTIVITIES => Start activities of the DFG Parameters.END_ACTIVITIES => End activities of the DFG Parameters.ENCODING => The encoding to be used (default: utf-8) """ if parameters is None: parameters = {} encoding = exec_utils.get_param_value( Parameters.ENCODING, parameters, constants.DEFAULT_ENCODING ) F = open(output_path, "wb") for row in export_line_by_line(dfg, parameters=parameters): F.write(row.encode(encoding)) F.close()
[docs] def export_as_string(dfg, parameters=None): """ Exports a DFG as a string Parameters -------------- dfg Directly-Follows Graph parameters Parameters of the algorithm, including: Parameters.START_ACTIVITIES => Start activities of the DFG Parameters.END_ACTIVITIES => End activities of the DFG Parameters.ENCODING => The encoding to be used (default: utf-8) Returns -------------- binary_string Binary string """ if parameters is None: parameters = {} encoding = exec_utils.get_param_value( Parameters.ENCODING, parameters, constants.DEFAULT_ENCODING ) ret = [] for row in export_line_by_line(dfg, parameters=parameters): ret.append(row) ret = "".join(ret) ret = ret.encode(encoding) return ret