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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 pm4py.algo.discovery.performance_spectrum.variants import dataframe, log, dataframe_disconnected, log_disconnected
from pm4py.util import exec_utils
from enum import Enum
from pm4py.util import constants, pandas_utils
from typing import Optional, Dict, Any, Union, List
from pm4py.objects.log.obj import EventLog, EventStream
import pandas as pd
class Parameters(Enum):
ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY
TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_TIMESTAMP_KEY
CASE_ID_KEY = constants.PARAMETER_CONSTANT_CASEID_KEY
ATTRIBUTE_KEY = constants.PARAMETER_CONSTANT_ATTRIBUTE_KEY
PARAMETER_SAMPLE_SIZE = "sample_size"
class Outputs(Enum):
LIST_ACTIVITIES = "list_activities"
POINTS = "points"
class Variants(Enum):
DATAFRAME = dataframe
LOG = log
DATAFRAME_DISCONNECTED = dataframe_disconnected
LOG_DISCONNECTED = log_disconnected
def apply(log: Union[EventLog, EventStream, pd.DataFrame], list_activities: List[str], variant=None, parameters: Optional[Dict[Any, Any]] = None) -> Dict[str, Any]:
"""
Finds the performance spectrum provided a log/dataframe
and a list of activities
Parameters
-------------
log
Event log/Dataframe
list_activities
List of activities interesting for the performance spectrum (at least two)
variant
Variant to be used (see Variants Enum)
parameters
Parameters of the algorithm, including:
- Parameters.ACTIVITY_KEY
- Parameters.TIMESTAMP_KEY
Returns
-------------
ps
Performance spectrum object (dictionary)
"""
from pm4py.objects.conversion.log import converter as log_conversion
if parameters is None:
parameters = {}
sample_size = exec_utils.get_param_value(Parameters.PARAMETER_SAMPLE_SIZE, parameters, 10000)
if len(list_activities) < 2:
raise Exception("performance spectrum can be applied providing at least two activities!")
points = None
if pandas_utils.check_is_pandas_dataframe(log):
if variant is None:
variant = Variants.DATAFRAME
points = exec_utils.get_variant(variant).apply(log, list_activities, sample_size, parameters)
if points is None:
if variant is None:
variant = Variants.LOG
points = exec_utils.get_variant(variant).apply(log_conversion.apply(log, variant=log_conversion.Variants.TO_EVENT_LOG, parameters=parameters), list_activities, sample_size,
parameters)
ps = {Outputs.LIST_ACTIVITIES.value: list_activities, Outputs.POINTS.value: points}
return ps
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