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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 typing import Optional, Dict, Any, Union
from pm4py.objects.log.obj import EventLog, EventStream
from enum import Enum
from pm4py.util import exec_utils, constants, xes_constants
from pm4py.objects.conversion.log import converter as log_converter
import pandas as pd
class Parameters(Enum):
RESPONSE_HEADER = "response_header"
TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_TIMESTAMP_KEY
MAX_LEN = "max_len"
def apply(log_obj: Union[EventLog, EventStream, pd.DataFrame], parameters: Optional[Dict[Any, Any]] = None) -> str:
"""
Given a log object, returns a representation of the (last) events of a stream corresponding to the log object.
Parameters
--------------
log_obj
Log object
parameters
Parameters of the algorithm, including:
- Parameters.RESPONSE_HEADER => includes the header in the response
- Parameters.TIMESTAMP_KEY => the attribute to be used as timestamp
- Parameters.MAX_LEN => maximum length of the resulting stream
Returns
--------------
descr
String representing the stream of events
"""
if parameters is None:
parameters = {}
parameters["stream_postprocessing"] = True
event_stream = log_converter.apply(log_obj, variant=log_converter.Variants.TO_EVENT_STREAM, parameters=parameters)._list
timestamp_key = exec_utils.get_param_value(Parameters.TIMESTAMP_KEY, parameters,
xes_constants.DEFAULT_TIMESTAMP_KEY)
response_header = exec_utils.get_param_value(Parameters.RESPONSE_HEADER, parameters, True)
max_len = exec_utils.get_param_value(Parameters.MAX_LEN, parameters, constants.OPENAI_MAX_LEN)
event_stream.sort(key=lambda x: x[timestamp_key], reverse=True)
ret = ["\n"]
interet = []
summ = 2
if response_header:
header = "If I have the following stream of events:\n"
summ += len(header) + 1
ret.append(header)
for ev in event_stream:
if summ > max_len:
break
stru = str(ev)
summ += len(stru) + 1
interet.append(stru)
interet.reverse()
ret = ret+interet+["\n"]
return "\n".join(ret)
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