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
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 3.0701680183410645s
Received healthy response to inference request in 2.6353790760040283s
Received healthy response to inference request in 2.404632329940796s
Received healthy response to inference request in 4.365908861160278s
Received healthy response to inference request in 3.6358015537261963s
5 requests
0 failed requests
5th percentile: 2.4507816791534425
10th percentile: 2.496931028366089
20th percentile: 2.5892297267913817
30th percentile: 2.7223368644714356
40th percentile: 2.89625244140625
50th percentile: 3.0701680183410645
60th percentile: 3.296421432495117
70th percentile: 3.5226748466491697
80th percentile: 3.781823015213013
90th percentile: 4.073865938186645
95th percentile: 4.219887399673461
99th percentile: 4.336704568862915
mean time: 3.222377967834473
Pipeline stage StressChecker completed in 17.22s
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 2.81s
Shutdown handler de-registered
function_talet_2024-11-23 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 10327.33s
Shutdown handler de-registered
function_talet_2024-11-23 status is now inactive due to auto deactivation removed underperforming models