def test_entity_extractor_serialization(self):
x = [
'what is the weather in tokyo', 'what is the weather',
'what is the weather like in kochi'
]
y = [{
'intent': 'weather',
'place': 'tokyo'
}, {
'intent': 'weather',
'place': 'here'
}, {
'intent': 'weather',
'place': 'kochi'
}]
ex1 = EntityExtractor()
ex1.fit(x, y)
config = ex1.serialize()
ex2 = EntityExtractor.deserialize(config)
test_inputs = ['what is the weather in london like']
for test_input in test_inputs:
ex1_out = ex1.predict(test_input)
ex2_out = ex2.predict(test_input)
ex2.predict(test_input, return_scores=True) # TODO
assert ex1_out == ex2_out
def test_entity_extractor_server_get():
x = ['what is the weather in tokyo', 'what is the weather', 'what is the weather like in kochi']
y = [{'intent': 'weather', 'place': 'tokyo'}, {'intent': 'weather', 'place': 'here'}, {'intent': 'weather', 'place': 'kochi'}]
ex = EntityExtractor()
ex.fit(x, y)
ex_serialized = ex.serialize()
server = NLUServer(ex).serve(test=True)
r = server.requests.get("/models/entity_extractor/predict?input=what is the weather in london")
assert r.json() == {'intent': 'weather', 'place': 'london'}
r = server.requests.get("/models/entity_extractor/config")
assert r.json() == json.loads(json.dumps(ex_serialized))
def test_entity_extractor_serialization(self):
x = ['what is the weather in tokyo', 'what is the weather', 'what is the weather like in kochi']
y = [{'intent': 'weather', 'place': 'tokyo'}, {'intent': 'weather', 'place': 'here'}, {'intent': 'weather', 'place': 'kochi'}]
ex1 = EntityExtractor()
ex1.fit(x, y)
config = ex1.serialize()
ex2 = EntityExtractor.deserialize(config)
test_inputs = ['what is the weather in london like']
for test_input in test_inputs:
ex1_out = ex1.predict(test_input)
ex2_out = ex2.predict(test_input)
assert ex1_out == ex2_out