Performance timing statistics for a pipeline.
| Name | Type | Description | Notes |
|---|---|---|---|
| p50_ms | float | 50th percentile latency in milliseconds. | |
| p90_ms | float | 90th percentile latency in milliseconds. | |
| p99_ms | float | 99th percentile latency in milliseconds. | |
| mean_ms | float | Mean latency in milliseconds. | |
| stage_latencies | Dict[str, float] | Per-stage latency breakdown (stage_name -> avg_ms). | [optional] |
from mixpeek.models.latency_metrics import LatencyMetrics
# TODO update the JSON string below
json = "{}"
# create an instance of LatencyMetrics from a JSON string
latency_metrics_instance = LatencyMetrics.from_json(json)
# print the JSON string representation of the object
print(LatencyMetrics.to_json())
# convert the object into a dict
latency_metrics_dict = latency_metrics_instance.to_dict()
# create an instance of LatencyMetrics from a dict
latency_metrics_from_dict = LatencyMetrics.from_dict(latency_metrics_dict)