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@ -406,7 +406,7 @@ def wait_until_all_rpcs_go_to_given_backends(backends, |
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def wait_until_rpcs_in_flight(timeout_sec, num_rpcs, threshold): |
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'''Block until the test client reaches the state with the given number |
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of RPCs being outstanding. |
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of RPCs being outstanding stably. |
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Args: |
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timeout_sec: Maximum number of seconds to wait until the desired state |
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@ -423,22 +423,32 @@ def wait_until_rpcs_in_flight(timeout_sec, num_rpcs, threshold): |
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logger.debug('Waiting for %d sec until %d RPCs (with %d%% tolerance) in-flight' |
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% (timeout_sec, num_rpcs, threshold)) |
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while time.time() - start_time <= timeout_sec: |
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error_msg = None |
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stats = get_client_accumulated_stats() |
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rpcs_in_flight = (stats.num_rpcs_started |
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- stats.num_rpcs_succeeded |
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- stats.num_rpcs_failed) |
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if rpcs_in_flight < (num_rpcs * (1 - threshold_fraction)): |
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error_msg = ('actual(%d) < expected(%d - %d%%)' % |
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(rpcs_in_flight, num_rpcs, threshold)) |
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time.sleep(2) |
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elif rpcs_in_flight > (num_rpcs * (1 + threshold_fraction)): |
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error_msg = ('actual(%d) > expected(%d + %d%%)' % |
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(rpcs_in_flight, num_rpcs, threshold)) |
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error_msg = _check_rpcs_in_flight(num_rpcs, threshold, threshold_fraction) |
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if error_msg: |
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time.sleep(2) |
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else: |
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return |
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raise Exception(error_msg) |
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break |
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# Ensure the number of outstanding RPCs is stable. |
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if not error_msg: |
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time.sleep(5) |
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error_msg = _check_rpcs_in_flight(num_rpcs, threshold, threshold_fraction) |
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if error_msg: |
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raise Exception(error_msg) |
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def _check_rpcs_in_flight(num_rpcs, threshold, threshold_fraction): |
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error_msg = None |
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stats = get_client_accumulated_stats() |
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rpcs_in_flight = (stats.num_rpcs_started |
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- stats.num_rpcs_succeeded |
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- stats.num_rpcs_failed) |
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if rpcs_in_flight < (num_rpcs * (1 - threshold_fraction)): |
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error_msg = ('actual(%d) < expected(%d - %d%%)' % |
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(rpcs_in_flight, num_rpcs, threshold)) |
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elif rpcs_in_flight > (num_rpcs * (1 + threshold_fraction)): |
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error_msg = ('actual(%d) > expected(%d + %d%%)' % |
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(rpcs_in_flight, num_rpcs, threshold)) |
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return error_msg |
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def compare_distributions(actual_distribution, expected_distribution, |
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