From b8ebac6ad7eddd1129b34b1c22bc9290a080a2a3 Mon Sep 17 00:00:00 2001 From: punkryn Date: Tue, 30 Apr 2024 11:06:27 +0900 Subject: [PATCH] =?UTF-8?q?=ED=95=A8=EC=88=98=EC=9D=B8=EC=9E=90=20?= =?UTF-8?q?=EB=B3=80=EA=B2=BD=EC=97=90=20=EB=94=B0=EB=A5=B8=20=EB=B3=80?= =?UTF-8?q?=EC=88=98=EB=AA=85=20=EC=88=98=EC=A0=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- stress-test/test-result-combiner.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/stress-test/test-result-combiner.py b/stress-test/test-result-combiner.py index be78f27..ad36339 100644 --- a/stress-test/test-result-combiner.py +++ b/stress-test/test-result-combiner.py @@ -70,7 +70,7 @@ def writeResultFile(p: Path, durationResult: dict, failResult: dict): columns = ['lock', 'vus', 'tickets', 'minBackoff', 'maxBackoff', 'retry', 'waitTime', 'leaseTime', 'duration', 'passes', 'fails'] df = pd.DataFrame(columns=columns) - for i, key in enumerate(result): + for i, key in enumerate(durationResult): lock, vus, vusValue, tickets, ticketsValue, minBackoff, minBackoffValue, maxBackoff, maxBackoffValue, retry, retryValue, waitTime, waitTimeValue, leaseTime, leaseTimeValue = key.split('_') se = pd.Series([lock, vusValue, ticketsValue, minBackoffValue, maxBackoffValue, retryValue, waitTimeValue, leaseTimeValue, durationResult[key], failResult[key][0], failResult[key][1]], index=df.columns)