def test_train_numpy_action():
request_queue = Queue(maxsize=1)
response_queue = Queue(maxsize=1)
response_queue.put_nowait(
dict(
action='Teleport',
rotation=dict(y=np.array([24])[0]),
moveMagnitude=np.array([55.5])[0],
))
s = ai2thor.server.Server(request_queue, response_queue, '127.0.0.1')
c = s.app.test_client()
res = c.post(
'/train',
buffered=True,
content_type=
'multipart/form-data; boundary=OVCo05I3SVXLPeTvCgJjHl1EOleL4u9TDx5raRVt',
input_stream=BytesIO(generate_form(metadata_simple, s.sequence_id)))
j = json.loads(res.get_data())
assert j == {
'action': 'Teleport',
'rotation': {
'y': 24
},
'sequenceId': 1,
'moveMagnitude': 55.5
}
assert res.status_code == 200
def test_train():
request_queue = Queue(maxsize=1)
response_queue = Queue(maxsize=1)
response_queue.put_nowait(dict(action='RotateRight'))
s = ai2thor.server.Server(request_queue, response_queue, '127.0.0.1')
c = s.app.test_client()
res = c.post(
'/train',
buffered=True,
content_type='multipart/form-data; boundary=OVCo05I3SVXLPeTvCgJjHl1EOleL4u9TDx5raRVt',
input_stream=BytesIO(generate_form(metadata_simple, s.sequence_id)))
assert res.status_code == 200
def test_non_multipart():
request_queue = Queue(maxsize=1)
response_queue = Queue(maxsize=1)
response_queue.put_nowait(dict(action='RotateRight'))
s = ai2thor.server.Server(request_queue, response_queue, '127.0.0.1')
c = s.app.test_client()
s.client_token = '1234567'
m = dict(agents=[metadata_simple], sequenceId=s.sequence_id)
res = c.post('/train',
data=dict(metadata=json.dumps(m), token=s.client_token))
assert res.status_code == 200
def server():
request_queue = Queue(maxsize=1)
response_queue = Queue(maxsize=1)
return ai2thor.server.Server(request_queue, response_queue, '127.0.0.1')