Source code for pm4py.algo.discovery.dfg.variants.native
from collections import Counter
from pm4py.util import constants, exec_utils
from pm4py.util import xes_constants as xes_util
from enum import Enum
from typing import Optional, Dict, Any, Union, Tuple
from pm4py.objects.log.obj import EventLog, EventStream
[docs]
class Parameters(Enum):
ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY
WINDOW = "window"
KEEP_ONCE_PER_CASE = "keep_once_per_case"
[docs]
def apply(
log: Union[EventLog, EventStream],
parameters: Optional[Dict[Union[str, Parameters], Any]] = None,
) -> Dict[Tuple[str, str], int]:
return native(log, parameters=parameters)
[docs]
def native(
log: Union[EventLog, EventStream],
parameters: Optional[Dict[Union[str, Parameters], Any]] = None,
) -> Dict[Tuple[str, str], int]:
"""
Counts the number of directly follows occurrences, i.e. of the form <...a,b...>, in an event log.
Parameters
----------
log
Trace log
parameters
Possible parameters passed to the algorithms:
activity_key -> Attribute to use as activity
Returns
-------
dfg
DFG graph
"""
if parameters is None:
parameters = {}
activity_key = exec_utils.get_param_value(
Parameters.ACTIVITY_KEY, parameters, xes_util.DEFAULT_NAME_KEY
)
window = exec_utils.get_param_value(Parameters.WINDOW, parameters, 1)
keep_once_per_case = exec_utils.get_param_value(
Parameters.KEEP_ONCE_PER_CASE, parameters, False
)
if keep_once_per_case:
dfgs = map(
(
lambda t: set(
(t[i - window][activity_key], t[i][activity_key])
for i in range(window, len(t))
)
),
log,
)
else:
dfgs = map(
(
lambda t: [
(t[i - window][activity_key], t[i][activity_key])
for i in range(window, len(t))
]
),
log,
)
return Counter([dfg for lista in dfgs for dfg in lista])