def add_parallel_gateway_branch(phases_list, order, suffix,
action: SvoConstruct):
if action.get_participant(
) is not None and not action.get_participant().is_pronoun():
phases_list.append({
Consts.order_prop:
str(order) + suffix + "1",
Consts.activity_prop:
create_activity_from_svo(action),
Consts.condition_prop:
"",
Consts.who_prop:
utils.participant_full_name(action.get_participant()),
Consts.subprocess_prop:
"",
Consts.terminated_prop:
""
})
else:
phases_list.append({
Consts.order_prop:
str(order) + suffix + "1",
Consts.activity_prop:
create_activity_from_svo(action),
Consts.condition_prop:
"",
Consts.who_prop:
"",
Consts.subprocess_prop:
"",
Consts.terminated_prop:
""
})
def add_sequence_flow(phases_list: List, order, action: SvoConstruct):
if action.get_participant(
) is not None and not action.get_participant().is_pronoun():
phases_list.append({
Consts.order_prop:
str(order),
Consts.activity_prop:
create_activity_from_svo(action),
Consts.condition_prop:
"",
Consts.who_prop:
utils.participant_full_name(action.get_participant()),
Consts.subprocess_prop:
"",
Consts.terminated_prop:
""
})
else:
phases_list.append({
Consts.order_prop:
str(order),
Consts.activity_prop:
create_activity_from_svo(action),
Consts.condition_prop:
"",
Consts.who_prop:
"",
Consts.subprocess_prop:
"",
Consts.terminated_prop:
""
})
def test_example_phrase_five(self):
filepath = "../examples/example_phrase_five"
nlp = spacy.load("en")
text = open(filepath).read().replace("\n", " ")
doc = nlp(text)
participants = []
for sentence in doc.sents:
[
utils.to_nltk_tree(sent.root).pretty_print()
for sent in doc.sents
]
participants, svos = extract.extract_process_elements(sentence)
for participant in participants:
print(utils.participant_full_name(participant))
self.assertEqual(len(participants), 1,
"Participants list length is incorrect")