def natural_language_effect():
post = request.get_json()
if not post:
return getResponse()
# parsing response
text = post.get('text')
nlp = NLP()
interpretation = nlp.process(text)
areas = Validator.areas({"areas": interpretation.areas}).post["areas"]
z = Validator.z(interpretation.parameters).post['z']
parameters = interpretation.parameters
parameters['z'] = z
parameters['areas'] = areas
# add effect
lid = master.add(name=interpretation.effect, parameters=parameters)
effectreturn = dict(id=lid, name=interpretation.effect,
parameters=master.getControllerParameters(lid))
return getResponse(jsonify(interpretation={}, effect=effectreturn), 201)
def natural_language_effect():
post = request.get_json()
if not post:
return getResponse()
# parsing response
text = post.get('text')
nlp = NLP()
interpretation = nlp.process(text)
areas = Validator.areas({"areas": interpretation.areas}).post["areas"]
z = Validator.z(interpretation.parameters).post['z']
parameters = interpretation.parameters
parameters['z'] = z
parameters['areas'] = areas
# add effect
lid = master.add(name=interpretation.effect, parameters=parameters)
effectreturn = dict(id=lid, name=interpretation.effect,
parameters=master.getControllerParameters(lid))
return getResponse(jsonify(interpretation={}, effect=effectreturn), 201)
