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Suppress matplot debug logs

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Colter Downing
2025-10-25 16:18:02 -07:00
parent 4d9bf2048c
commit bcecd6df40
6 changed files with 519 additions and 33 deletions
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lib/backend.py
+15 -9
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@@ -26,7 +26,8 @@ from lib.data_types import (
LogAction,
ApiPayload_T,
JsonDataException,
RequestMetrics
RequestMetrics,
BenchmarkResult
)
VERSION = "0.1.0"
@@ -332,18 +333,23 @@ class Backend:
for run in range(1, self.benchmark_handler.benchmark_runs + 1):
start = time.time()
tasks = []
total_workload = 0
benchmark_requests = []
for _ in range(concurrent_requests):
for i in range(concurrent_requests):
payload = self.benchmark_handler.make_benchmark_payload()
total_workload += payload.count_workload()
tasks.append(
self.__call_api(handler=self.benchmark_handler, payload=payload)
workload = payload.count_workload()
task = self.__call_api(handler=self.benchmark_handler, payload=payload)
benchmark_requests.append(
BenchmarkResult(request_idx=i, workload=workload, task=task)
)
responses = await gather(*tasks)
responses = await gather(*[br.task for br in benchmark_requests])
for br, response in zip(benchmark_requests, responses):
br.response = response
total_workload = sum(br.workload for br in benchmark_requests if br.is_successful)
time_elapsed = time.time() - start
successful_responses = sum([1 for br in benchmark_requests if br.is_successful])
throughput = total_workload / time_elapsed
sum_throughput += throughput
@@ -357,7 +363,7 @@ class Backend:
f"Run: {run}, concurrent_requests: {concurrent_requests}",
f"Total workload: {total_workload}, time_elapsed: {time_elapsed}s",
f"Throughput: {throughput} workload/s",
f"Successful responses: {len([r for r in responses if r.status == 200])}",
f"Successful responses: {successful_responses}/{concurrent_requests}",
"#" * 60,
]
)