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format-results.py
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format-results.py
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# Format k6 results
import json
from pathlib import Path
import numpy as np
results = []
pwd = Path().absolute()
results_dir = pwd / "results"
pathlist = results_dir.glob("*.json")
for path in pathlist:
# because path is object not string
path_in_str = str(path)
if path.name == "all-results.json":
continue
data_points = []
with open(path_in_str, "r") as results_file:
while True:
line = results_file.readline()
if not line:
break # EOF
result = json.loads(line)
if result["type"] == "Point":
data_points.append(result)
request_duration_results = filter(
lambda r: r["metric"] == "http_req_duration", data_points
)
request_durations = list(
map(lambda r: r["data"]["value"], request_duration_results)
)
requests = len(list(filter(lambda r: r["metric"] == "http_reqs", data_points)))
results.append(
{
"api_name": path.stem,
"results": {
"latency": {
"max": np.max(request_durations) * 1000,
"min": np.min(request_durations) * 1000,
"mean": np.mean(request_durations) * 1000,
"dist": {
"95": np.percentile(request_durations, 95) * 1000,
"98": np.percentile(request_durations, 98) * 1000,
"99": np.percentile(request_durations, 99) * 1000,
},
"stdev": np.std(request_durations) * 1000,
},
"requests": {
"max": requests / 15,
"min": requests / 15,
"mean": requests / 15,
"dist": {
"95": requests / 15,
"98": requests / 15,
"99": requests / 15,
},
"stdev": requests / 15,
},
},
}
)
with open(results_dir / "all-results.json", "w") as results_file:
json.dump(results, results_file, indent=2)