def calculate_dfg(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
dfg = parquet_handler.calculate_dfg(".", self.distr_log_path, list_logs, parameters=parameters)
return {(x.split("@@")[0], x.split("@@")[1]): dfg[x] for x in dfg}
def calculate_dfg():
try:
process = request.args.get('process', type=str)
keyphrase = request.args.get('keyphrase', type=str)
session = request.args.get('session', type=str)
attribute_key = request.args.get('attribute_key',
type=str,
default=xes.DEFAULT_NAME_KEY)
use_transition = request.args.get(PARAMETER_USE_TRANSITION,
type=str,
default=str(DEFAULT_USE_TRANSITION))
no_samples = request.args.get(PARAMETER_NO_SAMPLES,
type=int,
default=DEFAULT_MAX_NO_SAMPLES)
if use_transition == "True":
use_transition = True
else:
use_transition = False
if keyphrase == configuration.KEYPHRASE:
filters = get_filters_per_session(process, session)
parameters = {}
parameters["filters"] = filters
parameters[PARAMETER_USE_TRANSITION] = use_transition
parameters[PARAMETER_NO_SAMPLES] = no_samples
parameters[pm4py_constants.
PARAMETER_CONSTANT_ATTRIBUTE_KEY] = attribute_key
returned_dict = parquet_handler.calculate_dfg(
SlaveVariableContainer.conf,
process,
SlaveVariableContainer.managed_logs[process],
parameters=parameters)
return jsonify({"dfg": returned_dict})
return jsonify({"dfg": {}})
except:
return traceback.format_exc()