def POST(self, modelName=ImbuModels.defaultModelType): # pylint: disable=R0201,C0103
addStandardHeaders()
addCORSHeaders()
response = []
data = web.data()
if data:
if modelName not in ClassificationModelTypes.getTypes():
raise web.notfound("%s Model not found" % modelName)
if isinstance(data, basestring):
response = g_fluent.query(modelName, data)
else:
raise web.badrequest("Invalid Data. Query data must be a string")
else:
# No sample data, just return all samples
response = [{"id": item[0], "text": item[1][0], "score": 0}
for item in imbu.dataDict.items()]
return json.dumps(response)
def POST(self, modelName=ImbuModels.defaultModelType): # pylint: disable=R0201,C0103
addStandardHeaders()
addCORSHeaders()
response = {}
data = web.data()
if data:
if modelName not in ClassificationModelTypes.getTypes():
raise web.notfound("%s Model not found" % modelName)
if isinstance(data, basestring):
response = g_fluent.query(modelName, data)
else:
raise web.badrequest("Invalid Data. Query data must be a string")
if len(response) == 0:
# No data, just return all samples
# See "ImbuModels.formatResults" for expected format
for item in imbu.dataDict.items():
response[item[0]] = {"text": item[1][0], "scores": [0]}
return json.dumps(response)
def OPTIONS(self, modelName=ImbuModels.defaultModelType): # pylint: disable=R0201,C0103
addStandardHeaders()
addCORSHeaders()
if modelName not in ClassificationModelTypes.getTypes():
raise web.notfound("%s Model not found" % modelName)
def OPTIONS(self, modelName=ImbuModels.defaultModelType): # pylint: disable=R0201,C0103
addStandardHeaders()
addCORSHeaders()
if modelName not in ClassificationModelTypes.getTypes():
raise web.notfound("%s Model not found" % modelName)
