def run():
serv = ServiceClient(nlp_service, 'CabochaNlpProcsStub', 'localhost', 50051)
# Insert example metadata
metadata = [('ip', '127.0.0.1')]
response = serv.Tokenizer(
nlp_messages.NlText(text="お皿を二枚ください。"),
metadata=metadata
)
if response:
print("response:")
tokens=tokenize_msg("お皿を二枚ください。", response)
for t in tokens:
print(t.text, t.offset)
class HanlpDelegator(object):
def __init__(self):
self.client = ServiceClient(nlp_service, 'NlpProcsStub', 'localhost',
10052)
async def handle(self, req: BlueInteract):
cnt = BotMessage()
cnt.ParseFromString(req.body)
result = self.extract(cnt.message)
response = result.SerializeToString()
return response
def tokenize(self, text):
request = nlp_messages.NlTokenizerRequest(text=nlp_messages.NlText(
text=text))
response = self.client.Tokenizer(request)
return response
def extract(self, text):
request = nlp_messages.NlTokenizerRequest(text=nlp_messages.NlText(
text=text))
response = self.client.EntityExtractor(request)
return response