Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.924760341644287s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 3.7535006999969482s
Received healthy response to inference request in 3.102185010910034s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 3.1360816955566406s
Received healthy response to inference request in 3.0673630237579346s
5 requests
0 failed requests
5th percentile: 3.0743274211883547
10th percentile: 3.0812918186187743
20th percentile: 3.095220613479614
30th percentile: 3.1089643478393554
40th percentile: 3.1225230216979982
50th percentile: 3.1360816955566406
60th percentile: 3.3830492973327635
70th percentile: 3.630016899108887
80th percentile: 3.787752628326416
90th percentile: 3.8562564849853516
95th percentile: 3.8905084133148193
99th percentile: 3.9179099559783936
mean time: 3.3967781543731688
Pipeline stage StressChecker completed in 18.34s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 5.57s
Shutdown handler de-registered
function_rifet_2024-11-17 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3004.59s
Shutdown handler de-registered
function_rifet_2024-11-17 status is now inactive due to auto deactivation removed underperforming models