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''' | |
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 enum import Enum | |
from typing import Optional, Dict, Any | |
from pm4py.util import exec_utils | |
class Parameters(Enum): | |
INCLUDE_HEADER = "include_header" | |
def get_model_description(): | |
description = """ | |
The Log Skeleton process model contains the following declarative constraints: | |
- Equivalence (if the first activity occurs, then it has the same occurrences as the second one) | |
- Always Before (if the first activity occur, then the second activity should have been executed previously) | |
- Always After (if the first activity occur, then the second activity is executed in one of the following events) | |
- Never Together (the two activities cannot co-exist inside the same case) | |
- Activity Occurrences (bounds the number of occurrences for an activity in a case) | |
- Directly-Follows Constraints (if the first activity occurs, then the second activity shall occur immediately after) | |
""" | |
return description | |
def get_model_implementation(): | |
implementation = "The Log Skeleton is expressed as a Python dictionary containing the keys: 'equivalence', 'always_before', 'always_after', 'never_together', 'activ_freq', 'directly_follows'.\n" | |
implementation += "The values associated to 'equivalence', 'always_before', 'always_after', 'never_together', 'directly_follows' are sets containing the couples of activities satisfying the constraints.\n" | |
implementation += "The value associated to 'activ_freq' is a dictionary whose keys are the activities, and the values are the allowed number of occurrences for the given activity. For example, {'A': {0, 1}, 'B': {1, 2}} tells that A could occur 0 or 1 time inside a case, while B could occur 1 or 2 times.\n" | |
return implementation | |
def apply(lsk: Dict[str, Any], parameters: Optional[Dict[Any, Any]] = None) -> str: | |
if parameters is None: | |
parameters = {} | |
include_header = exec_utils.get_param_value(Parameters.INCLUDE_HEADER, parameters, True) | |
ret = ["\n"] | |
if include_header: | |
ret.append(get_model_description()) | |
ret.append("\n\n") | |
ret.append("I have a Log Skeleton process model containing the following declarative constraints:\n\n") | |
# equivalence | |
ret.append("Equivalence: ") | |
for constr in lsk["equivalence"]: | |
ret.append(" " + str(constr)) | |
ret.append("\n\n") | |
# always before | |
ret.append("Always Before: ") | |
for constr in lsk["always_before"]: | |
ret.append(" " + str(constr)) | |
ret.append("\n\n") | |
# always after | |
ret.append("Always After: ") | |
for constr in lsk["always_after"]: | |
ret.append(" " + str(constr)) | |
ret.append("\n\n") | |
# never together | |
ret.append("Never Together: ") | |
for constr in lsk["never_together"]: | |
ret.append(" " + str(constr)) | |
ret.append("\n\n") | |
# activity occurrences | |
ret.append("Activity Occurrences: ") | |
for constr, occs in lsk["activ_freq"].items(): | |
ret.append(" " + str(constr) + ": " + ", ".join(sorted([str(x) for x in occs])) + ";") | |
ret.append("\n\n") | |
# directly-follows | |
ret.append("Directly-Follows Constraints: ") | |
for constr in lsk["directly_follows"]: | |
ret.append(" "+str(constr)) | |
ret.append("\n\n") | |
return "".join(ret) | |