def test(self):
hutoma = EasyHutoma(USER_KEY)
try:
# get the list of AIs
ais = hutoma.list_ai()
self.assertTrue(isinstance(ais, list))
# if no AIs create one
if len(ais) == 0:
ais = hutoma.create_ai()
self.assertTrue(len(ais) > 0)
# test deletion
old_len = len(ais)
ais = hutoma.delete_ai(ais[0])
self.assertEqual(len(ais), old_len - 1)
# ensure at least 1 AI
if len(ais) == 0:
ais = hutoma.create_ai()
except HutomaException as e:
logging.warn(e.message)
def main():
args = add_args()
hutoma = EasyHutoma(args.user_key)
input = raw_input(
'Attention! this will delete all existing AIs (type "quit" to exit): ')
if 'quit' in input:
return
# get the list of available AIs
ais = hutoma.list_ai()
print 'AIs list: {0}'.format(ais)
for ai in ais:
print 'deleting {0}...'.format(ai)
hutoma.delete_ai(ai)
ais = hutoma.create_ai()
print 'New AI created: {0}'.format(ais)
aiid = ais[0]
print 'AI id: {0}'.format(aiid)
print 'Upload data files...'
hutoma.training_upload_files(aiid, args.source_file, args.target_file)
print 'Training monitor (check every {0} secs):'.format(args.sleep)
print 'Start training...'
start_time = time.time()
response, _ = hutoma.training_start(aiid)
print '\tStatus: {trainingStatusDetails:s}\n\tRuntime status: {runtimeStatusDetails:s}'.format(
**response)
print '\tScore: {score:s}'.format(**response)
print '\tAIid: {0}'.format(aiid)
while response.get('trainingStatus ', -1) < 3:
time.sleep(args.sleep)
response, _ = hutoma.current_status(aiid)
print
print '\n\tStatus: {trainingStatusDetails:s}\n\tRuntime status: {runtimeStatusDetails:s}'.format(
**response)
print '\tScore: {score:s}'.format(**response)
print '\tAIid: {0}'.format(aiid)
print '{0} secs to train'.format(int(time.time() - start_time))
print 'API calls: {0}'.format(hutoma.api_calls_count())
def main():
args = add_args()
hutoma = EasyHutoma(args.user_key)
input = raw_input('Attention! this will delete all existing AIs (type "quit" to exit): ')
if "quit" in input:
return
# get the list of available AIs
ais = hutoma.list_ai()
print "AIs list: {0}".format(ais)
for ai in ais:
print "deleting {0}...".format(ai)
hutoma.delete_ai(ai)
ais = hutoma.create_ai()
print "New AI created: {0}".format(ais)
aiid = ais[0]
print "AI id: {0}".format(aiid)
print "Upload data files..."
hutoma.training_upload_files(aiid, args.source_file, args.target_file)
print "Training monitor (check every {0} secs):".format(args.sleep)
print "Start training..."
start_time = time.time()
response, _ = hutoma.training_start(aiid)
print "\tStatus: {trainingStatusDetails:s}\n\tRuntime status: {runtimeStatusDetails:s}".format(**response)
print "\tScore: {score:s}".format(**response)
print "\tAIid: {0}".format(aiid)
while response.get("trainingStatus ", -1) < 3:
time.sleep(args.sleep)
response, _ = hutoma.current_status(aiid)
print
print "\n\tStatus: {trainingStatusDetails:s}\n\tRuntime status: {runtimeStatusDetails:s}".format(**response)
print "\tScore: {score:s}".format(**response)
print "\tAIid: {0}".format(aiid)
print "{0} secs to train".format(int(time.time() - start_time))
print "API calls: {0}".format(hutoma.api_calls_count())