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

'''
    This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

    PM4Py is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    PM4Py 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 General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with PM4Py.  If not, see <https://www.gnu.org/licenses/>.
'''
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.constants import DEFAULT_ENCODING


[docs]class Parameters(Enum): START_ACTIVITIES = "start_activities" END_ACTIVITIES = "end_activities"
[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 """ if parameters is None: parameters = {} F = open(output_path, "wb") for row in export_line_by_line(dfg, parameters=parameters): F.write(row.encode(DEFAULT_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 Returns -------------- binary_string Binary string """ if parameters is None: parameters = {} ret = [] for row in export_line_by_line(dfg, parameters=parameters): ret.append(row) ret = "".join(ret) ret = ret.encode(DEFAULT_ENCODING) return ret