def test_case_statistics(self):
from pm4py.statistics.traces.log import case_statistics
log = self.get_log()
case_statistics.get_kde_caseduration(log)
case_statistics.get_events(log, "N77802")
case_statistics.get_variant_statistics(log)
case_statistics.get_cases_description(log)
case_statistics.get_all_casedurations(log)
case_statistics.get_first_quartile_caseduration(log)
case_statistics.get_median_caseduration(log)
def get_case_statistics(self, parameters=None):
"""
Gets the statistics on cases
Parameters
-------------
parameters
Possible parameters of the algorithm
Returns
-------------
list_cases
List of cases
"""
if parameters is None:
parameters = {}
parameters[
constants.PARAMETER_CONSTANT_ACTIVITY_KEY] = self.activity_key
parameters[
constants.PARAMETER_CONSTANT_ATTRIBUTE_KEY] = self.activity_key
#parameters["max_ret_cases"] = ws_constants.MAX_NO_CASES_TO_RETURN
parameters["sort_by_index"] = parameters[
"sort_by_index"] if "sort_by_index" in parameters else 0
parameters["sort_ascending"] = parameters[
"sort_ascending"] if "sort_ascending" in parameters else False
parameters["variants"] = self.variants
if "variant" in parameters:
var_to_filter = parameters["variant"]
# TODO: TECHNICAL DEBT
# quick turnaround for bug
var_to_filter = var_to_filter.replace(" start", "+start")
var_to_filter = var_to_filter.replace(" START", "+START")
var_to_filter = var_to_filter.replace(" complete", "+complete")
var_to_filter = var_to_filter.replace(" COMPLETE", "+COMPLETE")
filtered_log = variants_filter.apply(self.log, [var_to_filter],
parameters=parameters)
return [
casestats.include_key_in_value_list(
case_statistics.get_cases_description(
filtered_log, parameters=parameters))
] + [self.get_log_summary_dictio()]
else:
return [
casestats.include_key_in_value_list(
case_statistics.get_cases_description(
self.log, parameters=parameters))
] + [self.get_log_summary_dictio()]
def average_case_duration(
log: EventLog,
t1: Union[datetime, str],
t2: Union[datetime, str],
r: str,
parameters: Optional[Dict[str, Any]] = None) -> float:
"""
The average duration of cases completed during a given time slot in which a given resource was involved.
Metric RBI 4.4 in Pika, Anastasiia, et al.
"Mining resource profiles from event logs." ACM Transactions on Management Information Systems (TMIS) 8.1 (2017): 1-30.
Parameters
-----------------
log
Event log
t1
Left interval
t2
Right interval
r
Resource
Returns
----------------
metric
Value of the metric
"""
if parameters is None:
parameters = {}
resource_key = exec_utils.get_param_value(
Parameters.RESOURCE_KEY, parameters,
xes_constants.DEFAULT_RESOURCE_KEY)
from pm4py.algo.filtering.log.attributes import attributes_filter
parameters_filter = {
attributes_filter.Parameters.ATTRIBUTE_KEY: resource_key
}
log = attributes_filter.apply(log, [r], parameters=parameters_filter)
from pm4py.algo.filtering.log.timestamp import timestamp_filter
log = timestamp_filter.filter_traces_intersecting(log,
t1,
t2,
parameters=parameters)
from pm4py.statistics.traces.log import case_statistics
cd = case_statistics.get_cases_description(log,
parameters=parameters).values()
return mean(x["caseDuration"] for x in cd)