def project(log: EventLog, activity: str, activity_key: str) -> List[EventLog]:
proj = EventLog()
proj_act = EventLog()
for t in log:
proj.append(pm4py.filter_trace(lambda e: e[activity_key] != activity, t))
proj_act.append(pm4py.filter_trace(lambda e: e[activity_key] == activity, t))
return [proj_act, proj]
def detect(log: EventLog, alphabet: Dict[str, int], act_key: str, use_msd: bool) -> Optional[str]:
candidates = set(alphabet.keys())
for t in log:
candidates = candidates.intersection(set(map(lambda e: e[act_key], t)))
if len(candidates) == 0:
return None
for a in candidates:
proj = EventLog()
for t in log:
proj.append(pm4py.filter_trace(lambda e: e[act_key] != a, t))
if len(list(filter(lambda t: len(t) == 0, proj))) == 0:
dfg_proj = discover_dfg.apply(proj, parameters={
constants.PARAMETER_CONSTANT_ACTIVITY_KEY: act_key})
alphabet_proj = pm4py.get_attribute_values(proj, act_key)
start_act_proj = get_starters.get_start_activities(proj, parameters={
constants.PARAMETER_CONSTANT_ACTIVITY_KEY: act_key})
end_act_proj = get_ends.get_end_activities(log, parameters={
constants.PARAMETER_CONSTANT_ACTIVITY_KEY: act_key})
pre_proj, post_proj = dfg_utils.get_transitive_relations(dfg_proj, alphabet_proj)
cut = sequence_cut.detect(alphabet_proj, pre_proj, post_proj)
if cut is not None:
return a
cut = xor_cut.detect(dfg_proj, alphabet_proj)
if cut is not None:
return a
cut = concurrent_cut.detect(dfg_proj, alphabet_proj, start_act_proj, end_act_proj,
msd= msdw_algo.derive_msd_witnesses(proj, msd_algo.apply(log, parameters={
constants.PARAMETER_CONSTANT_ACTIVITY_KEY: act_key}), parameters={
constants.PARAMETER_CONSTANT_ACTIVITY_KEY: act_key}) if use_msd else None)
if cut is not None:
return a
cut = loop_cut.detect(dfg_proj, alphabet_proj, start_act_proj, end_act_proj)
if cut is not None:
return a
return None
def project(log, groups, activity_key):
'''
This method projects the log based on a presumed sequence cut and a list of activity groups
Parameters
----------
log
original log
groups
list of activity sets to be used in projection (activities can only appear in one group)
activity_key
key to use in the event to derive the activity name
Returns
-------
list of corresponding logs according to the sequence cut.
'''
# currently, not 'noise' proof
logs = list()
for group in groups:
proj = EventLog()
for t in log:
proj.append(
pm4py.filter_trace(lambda e: e[activity_key] in group, t))
logs.append(proj)
return logs
def project(log, groups, activity_key):
logs = list()
for group in groups:
proj = EventLog()
for t in log:
proj.append(
pm4py.filter_trace(lambda e: e[activity_key] in group, t))
logs.append(proj)
return logs
