def test_extract_keywordself(self):
nlpfClient = NlpfClient(TokenDemo.tokenClient)
response = nlpfClient.extract_keyword("华为技术有限公司成立于1987年，总部位于广东省深圳市龙岗区。", 5, "zh")
print(json.dumps(response.res, ensure_ascii=False))
def test_get_sentence_vectors(self):
nlpfClient = NlpfClient(TokenDemo.tokenClient)
response = nlpfClient.get_sentence_vectors(["男儿当自强"], "general")
print(json.dumps(response.res, ensure_ascii=False))
def test_get_entity_linking(self):
nlpfClient = NlpfClient(TokenDemo.tokenClient)
response = nlpfClient.get_entity_linking("周杰伦的歌", None)
print(json.dumps(response.res, ensure_ascii=False))
def test_domain_ner(self):
nlpfClient = NlpfClient(TokenDemo.tokenClient)
response = nlpfClient.domain_ner("未来的发展是不确定的", "zh", "general")
print(json.dumps(response.res,ensure_ascii=False))
def test_get_text_similarity(self):
nlpfClient = NlpfClient(TokenDemo.tokenClient)
response = nlpfClient.get_text_similarity("文字1", "文字2", "zh")
print(json.dumps(response.res,ensure_ascii=False))
def test_ner(self):
nlpfClient = NlpfClient(TokenDemo.tokenClient)
response = nlpfClient.ner("未来的发展是不确定的", "zh")
print(response.code)
print(json.dumps(response.res, ensure_ascii=False))
def test_segment(self):
nlpfClient = NlpfClient(TokenDemo.tokenClient)
response = nlpfClient.segment("今天天气真好", 1,"zh","PKU")
print(response.code)
print(json.dumps(response.res, ensure_ascii=False))
def test_multi_grained_segment(self):
nlpfClient = NlpfClient(TokenDemo.akskClient)
response = nlpfClient.multi_grained_segment("华为技术有限公司的总部", "zh")
print(json.dumps(response.res, ensure_ascii=False))
def get_ones_vectors(self, sentences):
nlpfClient = NlpfClient(AKSKDemo.akskClient)
response = nlpfClient.get_sentence_vectors(sentences, "general")
return response.res
def test_get_sentence_vectors(self):
nlpfClient = NlpfClient(AKSKDemo.akskClient)
response = nlpfClient.get_sentence_vectors(["♥。。"], "general")
print(json.dumps(response.res, ensure_ascii=False))
