def get_kde_caseduration(df, parameters=None):
"""
Gets the estimation of KDE density for the case durations calculated on the dataframe
Parameters
--------------
df
Pandas dataframe
parameters
Possible parameters of the algorithm, including:
graph_points -> number of points to include in the graph
case_id_glue -> Column hosting the Case ID
Returns
--------------
x
X-axis values to represent
y
Y-axis values to represent
"""
cases = get_cases_description(df, parameters=parameters)
duration_values = [x["caseDuration"] for x in cases.values()]
return case_duration_commons.get_kde_caseduration(duration_values,
parameters=parameters)
def get_kde_caseduration(df, parameters=None):
"""Gets the estimation of KDE density for the case durations calculated on the Spark dataframe
"""
cases = get_cases_description(df, parameters=parameters)
duration_values = [x["caseDuration"] for x in cases.values()]
return case_duration_commons.get_kde_caseduration(duration_values,
parameters=parameters)
def get_case_duration(self, parameters=None):
if parameters is None:
parameters = {}
url = self.get_url("getCaseDuration")
r = requests.get(url)
ret_text = r.text
ret_json = json.loads(ret_text)
ret = ret_json["points"]
x, y = case_duration_commons.get_kde_caseduration(ret)
return x, y
def get_case_duration(self, parameters=None):
if parameters is None:
parameters = {}
list_logs = self.get_list_logs()
for key in self.init_parameters:
if key not in parameters:
parameters[key] = self.init_parameters[key]
parameters["filters"] = self.filters
ret = parquet_handler.get_case_duration(".", self.distr_log_path, list_logs, parameters=parameters)
x, y = case_duration_commons.get_kde_caseduration(ret)
return x, y
def get_kde_caseduration(log, parameters=None):
"""
Gets the estimation of KDE density for the case durations calculated on the log_skeleton
Parameters
--------------
log
Log object
parameters
Possible parameters of the algorithm, including:
Parameters.GRAPH_POINTS -> number of points to include in the graph
Returns
--------------
x
X-axis values to represent
y
Y-axis values to represent
"""
return case_duration_commons.get_kde_caseduration(get_all_casedurations(log, parameters=parameters),
parameters=parameters)
