Source code for pm4py.objects.dfg.importer.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 constants
from io import StringIO


[docs]def import_dfg_from_rows(rows, parameters=None): """ Import a DFG (along with the start and end activities) from the rows of a .dfg file Parameters -------------- rows Rows the DFG file parameters Possible parameters of the algorithm Returns -------------- dfg DFG start_activities Start activities end_activities End activities """ if parameters is None: parameters = {} activities = [] start_activities = {} end_activities = {} dfg = {} num_activities = int(rows[0]) i = 1 while i <= num_activities: activities.append(rows[i].strip()) i = i + 1 num_sa = int(rows[i]) target = i + num_sa i = i + 1 while i <= target: act, count = rows[i].strip().split("x") act = activities[int(act)] count = int(count) start_activities[act] = count i = i + 1 num_ea = int(rows[i]) target = i + num_ea i = i + 1 while i <= target: act, count = rows[i].strip().split("x") act = activities[int(act)] count = int(count) end_activities[act] = count i = i + 1 while i < len(rows): acts, count = rows[i].strip().split("x") count = int(count) a1, a2 = acts.split(">") a1 = activities[int(a1)] a2 = activities[int(a2)] dfg[(a1, a2)] = count i = i + 1 return dfg, start_activities, end_activities
[docs]def apply(file_path, parameters=None): """ Import a DFG (along with the start and end activities) from a .dfg file Parameters -------------- file_path Path of the DFG file parameters Possible parameters of the algorithm Returns -------------- dfg DFG start_activities Start activities end_activities End activities """ if parameters is None: parameters = {} F = open(file_path, "r") content = F.readlines() F.close() return import_dfg_from_rows(content, parameters=parameters)
[docs]def import_dfg_from_string(dfg_string, parameters=None): """ Import a DFG (along with the start and end activities) from a string representing a .dfg file Parameters -------------- dfg_string String representing a .dfg file parameters Possible parameters of the algorithm Returns -------------- dfg DFG start_activities Start activities end_activities End activities """ if parameters is None: parameters = {} if type(dfg_string) is bytes: dfg_string = dfg_string.decode(constants.DEFAULT_ENCODING) return import_dfg_from_rows(StringIO(dfg_string).readlines(), parameters=parameters)