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some cleanups, improved test coverage
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import pytest | ||
from potassium.status import StatusEvent, PotassiumStatus, InvalidStatusEvent | ||
import time | ||
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@pytest.mark.parametrize("worker_num", [ | ||
1, | ||
2, | ||
4 | ||
]) | ||
def test_workers_starting(worker_num): | ||
status = PotassiumStatus.initial(worker_num) | ||
assert status.num_workers == worker_num | ||
assert status.num_workers_started == 0 | ||
assert status.gpu_available == False | ||
status = status.update((StatusEvent.WORKER_STARTED,)) | ||
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if worker_num == 1: | ||
assert status.gpu_available == True | ||
else: | ||
assert status.gpu_available == False | ||
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for _ in range(worker_num-1): | ||
status = status.update((StatusEvent.WORKER_STARTED,)) | ||
assert status.num_workers_started == worker_num | ||
assert status.gpu_available == True | ||
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def test_bad_event(): | ||
status = PotassiumStatus.initial(1) | ||
with pytest.raises(InvalidStatusEvent): | ||
status.update(("BAD_EVENT",)) | ||
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def test_inference_requests_single_worker(): | ||
status = PotassiumStatus.initial(1) | ||
status = status.update((StatusEvent.WORKER_STARTED,)) | ||
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status = status.update((StatusEvent.INFERENCE_REQUEST_RECEIVED,)) | ||
assert status.num_started_inference_requests == 1 | ||
assert status.num_completed_inference_requests == 0 | ||
assert status.gpu_available == False | ||
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status = status.update((StatusEvent.INFERENCE_START, 0)) | ||
status = status.update((StatusEvent.INFERENCE_END, 0)) | ||
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assert status.num_started_inference_requests == 1 | ||
assert status.num_completed_inference_requests == 1 | ||
assert status.sequence_number == 1 | ||
assert status.gpu_available == True | ||
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status = status.update((StatusEvent.INFERENCE_REQUEST_RECEIVED,)) | ||
assert status.num_started_inference_requests == 2 | ||
status = status.update((StatusEvent.INFERENCE_REQUEST_RECEIVED,)) | ||
assert status.num_started_inference_requests == 3 | ||
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status = status.update((StatusEvent.INFERENCE_START, 1)) | ||
status = status.update((StatusEvent.INFERENCE_END, 1)) | ||
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assert status.num_started_inference_requests == 3 | ||
assert status.num_completed_inference_requests == 2 | ||
assert status.sequence_number == 3 | ||
assert status.gpu_available == False | ||
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status = status.update((StatusEvent.INFERENCE_START, 2)) | ||
status = status.update((StatusEvent.INFERENCE_END, 2)) | ||
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assert status.num_started_inference_requests == 3 | ||
assert status.num_completed_inference_requests == 3 | ||
assert status.sequence_number == 3 | ||
assert status.gpu_available == True | ||
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def test_inference_requests_multiple_workers(): | ||
state = PotassiumStatus.initial(2) | ||
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state = state.update((StatusEvent.WORKER_STARTED,)) | ||
state = state.update((StatusEvent.WORKER_STARTED,)) | ||
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assert state.gpu_available == True | ||
assert state.sequence_number == 0 | ||
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state = state.update((StatusEvent.INFERENCE_REQUEST_RECEIVED,)) | ||
assert state.num_started_inference_requests == 1 | ||
assert state.num_completed_inference_requests == 0 | ||
assert state.gpu_available == True | ||
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state = state.update((StatusEvent.INFERENCE_REQUEST_RECEIVED,)) | ||
assert state.num_started_inference_requests == 2 | ||
assert state.num_completed_inference_requests == 0 | ||
assert state.gpu_available == False | ||
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state = state.update((StatusEvent.INFERENCE_START, 0)) | ||
state = state.update((StatusEvent.INFERENCE_END, 0)) | ||
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assert state.num_started_inference_requests == 2 | ||
assert state.num_completed_inference_requests == 1 | ||
assert state.sequence_number == 2 | ||
assert state.gpu_available == True | ||
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state = state.update((StatusEvent.INFERENCE_REQUEST_RECEIVED,)) | ||
state = state.update((StatusEvent.INFERENCE_REQUEST_RECEIVED,)) | ||
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assert state.num_started_inference_requests == 4 | ||
assert state.num_completed_inference_requests == 1 | ||
assert state.sequence_number == 4 | ||
assert state.gpu_available == False | ||
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state = state.update((StatusEvent.INFERENCE_START, 1)) | ||
state = state.update((StatusEvent.INFERENCE_END, 1)) | ||
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assert state.num_started_inference_requests == 4 | ||
assert state.num_completed_inference_requests == 2 | ||
assert state.sequence_number == 4 | ||
assert state.gpu_available == False | ||
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state = state.update((StatusEvent.INFERENCE_START, 2)) | ||
state = state.update((StatusEvent.INFERENCE_END, 2)) | ||
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assert state.num_started_inference_requests == 4 | ||
assert state.num_completed_inference_requests == 3 | ||
assert state.sequence_number == 4 | ||
assert state.gpu_available == True | ||
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state = state.update((StatusEvent.INFERENCE_START, 3)) | ||
state = state.update((StatusEvent.INFERENCE_END, 3)) | ||
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assert state.num_started_inference_requests == 4 | ||
assert state.num_completed_inference_requests == 4 | ||
assert state.sequence_number == 4 | ||
assert state.gpu_available == True | ||
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@pytest.mark.parametrize("status_result_tuple", [ | ||
(PotassiumStatus( | ||
num_started_inference_requests=0, | ||
num_completed_inference_requests=0, | ||
num_bad_requests=0, | ||
num_workers=1, | ||
num_workers_started=0, | ||
idle_start_timestamp=0, | ||
in_flight_request_start_times=[] | ||
), 0), | ||
(PotassiumStatus( | ||
num_started_inference_requests=0, | ||
num_completed_inference_requests=0, | ||
num_bad_requests=0, | ||
num_workers=1, | ||
num_workers_started=1, | ||
idle_start_timestamp=0, | ||
in_flight_request_start_times=[] | ||
), time.time()), | ||
(PotassiumStatus( | ||
num_started_inference_requests=1, | ||
num_completed_inference_requests=0, | ||
num_bad_requests=0, | ||
num_workers=1, | ||
num_workers_started=1, | ||
idle_start_timestamp=0, | ||
in_flight_request_start_times=[] | ||
), 0), | ||
(PotassiumStatus( | ||
num_started_inference_requests=2, | ||
num_completed_inference_requests=0, | ||
num_bad_requests=0, | ||
num_workers=4, | ||
num_workers_started=4, | ||
idle_start_timestamp=0, | ||
in_flight_request_start_times=[] | ||
), 0), | ||
(PotassiumStatus( | ||
num_started_inference_requests=2, | ||
num_completed_inference_requests=2, | ||
num_bad_requests=0, | ||
num_workers=4, | ||
num_workers_started=4, | ||
idle_start_timestamp=0, | ||
in_flight_request_start_times=[] | ||
), time.time()), | ||
]) | ||
def test_idle_time(status_result_tuple): | ||
status, result = status_result_tuple | ||
delta = abs(status.idle_time - result) | ||
ALLOWED_DELTA = 1 | ||
assert delta < ALLOWED_DELTA | ||
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def test_longest_inference_time(): | ||
status = PotassiumStatus( | ||
num_started_inference_requests=6, | ||
num_completed_inference_requests=2, | ||
num_bad_requests=0, | ||
num_workers=4, | ||
num_workers_started=4, | ||
idle_start_timestamp=0, | ||
in_flight_request_start_times=[ | ||
("b", time.time() - 2), | ||
("a", time.time() - 1), | ||
("c", time.time() - 3), | ||
("d", time.time()), | ||
] | ||
) | ||
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longest_inference_time = status.longest_inference_time | ||
EXPECTED_LONGEST_INFERENCE_TIME = 3 | ||
delta = abs(longest_inference_time - EXPECTED_LONGEST_INFERENCE_TIME) | ||
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ALLOWED_DELTA = 0.1 | ||
assert delta < ALLOWED_DELTA | ||
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