Summary statistics for performance.
| Name | Type | Description | Notes |
|---|---|---|---|
| total_executions | int | Total number of executions | [optional] [default to 0] |
| avg_latency_ms | float | Average latency | [optional] [default to 0] |
| p50_latency_ms | float | Median latency | [optional] [default to 0] |
| p95_latency_ms | float | 95th percentile latency | [optional] [default to 0] |
| p99_latency_ms | float | 99th percentile latency | [optional] [default to 0] |
| max_latency_ms | float | Maximum latency | [optional] [default to 0] |
| total_time_seconds | float | Total time spent across all executions | [optional] [default to 0] |
from mixpeek.models.performance_summary import PerformanceSummary
# TODO update the JSON string below
json = "{}"
# create an instance of PerformanceSummary from a JSON string
performance_summary_instance = PerformanceSummary.from_json(json)
# print the JSON string representation of the object
print(PerformanceSummary.to_json())
# convert the object into a dict
performance_summary_dict = performance_summary_instance.to_dict()
# create an instance of PerformanceSummary from a dict
performance_summary_from_dict = PerformanceSummary.from_dict(performance_summary_dict)