def test_performance_spectrum(self):
log = xes_importer.apply(
os.path.join("input_data", "running-example.xes"))
from pm4py.statistics.performance_spectrum import algorithm as pspectrum
ps = pspectrum.apply(log, ["register request", "decide"])
df = pd.read_csv(os.path.join("input_data", "running-example.csv"))
df = dataframe_utils.convert_timestamp_columns_in_df(df)
ps = pspectrum.apply(df, ["register request", "decide"])
def test_performance_spectrum(self):
log = xes_importer.apply(
os.path.join("input_data", "running-example.xes"))
from pm4py.statistics.performance_spectrum import algorithm as pspectrum
ps = pspectrum.apply(log, ["register request", "decide"])
from pm4py.objects.log.adapters.pandas import csv_import_adapter
df = csv_import_adapter.import_dataframe_from_path(
os.path.join("input_data", "running-example.csv"))
ps = pspectrum.apply(df, ["register request", "decide"])
median_case_duration = case_statistics.get_median_caseduration(log, parameters={ case_statistics.Parameters.TIMESTAMP_KEY: "time:timestamp"})
median_case_duration
#Case Arrival
from pm4py.statistics.traces.log import case_arrival
case_arrival_ratio = case_arrival.get_case_arrival_avg(log, parameters={ case_arrival.Parameters.TIMESTAMP_KEY: "time:timestamp"})
case_arrival_ratio
from pm4py.statistics.traces.log import case_arrival
case_dispersion_ratio = case_arrival.get_case_dispersion_avg(log, parameters={ case_arrival.Parameters.TIMESTAMP_KEY: "time:timestamp"})
case_dispersion_ratio
#Peformance Spectrum
from pm4py.statistics.performance_spectrum import algorithm as performance_spectrum
ps = performance_spectrum.apply(log, ["register request", "decide"], parameters= {performance_spectrum.Parameters.ACTIVITY_KEY: "concept:name", performance_spectrum.Parameters.TIMESTAMP_KEY: "time:timestamp"})
ps
#Business Hours
from pm4py.util.business_hours import BusinessHours
from datetime import datetime
st = datetime.fromtimestamp(100000000)
et = datetime.fromtimestamp(200000000)
bh_object = BusinessHours(st, et)
worked_time = bh_object.getseconds()
print(worked_time)
#Cycle Time and Waiting Time
from pm4py.objects.log.util import interval_lifecycle
enriched_log = interval_lifecycle.assign_lead_cycle_time(log)