def compare_tests(args):
labels, rps_data, errors_data, users_data, responses_data = get_tests_metadata(args['id[]'])
return {
"response": chart_data(labels, {"users": users_data}, {"pct95": responses_data}, "time"),
"errors": chart_data(labels, {"users": users_data}, {"errors": errors_data}, "count"),
"rps": chart_data(labels, {"users": users_data}, {"RPS": rps_data}, "count")
}
def _query_only(args, query_func):
start_time, end_time, aggregation = _timeframe(args)
timeline, results, users = query_func(args['build_id'], args['test_name'],
args['lg_type'], start_time,
end_time, aggregation,
args['sampler'])
return chart_data(timeline, users, results)
def create_benchmark_dataset(args):
build_ids = args['id[]']
req = args.get('request')
calculation = args.get('calculation')
aggregator = args.get('aggregator')
if not aggregator or aggregator == 'auto':
aggregator = '1s'
tests_meta = APIReport.query.filter(APIReport.id.in_(build_ids)).order_by(
APIReport.vusers.asc()).all()
labels = set()
data = {}
y_axis = ''
for _ in tests_meta:
labels.add(_.vusers)
if _.environment not in data:
data[_.environment] = {}
if calculation == 'throughput':
y_axis = 'Requests per second'
data[_.environment][str(_.vusers)] = get_throughput_per_test(
_.build_id, _.name, _.lg_type, "", req, aggregator)
elif calculation != ['throughput']:
y_axis = 'Response time, ms'
if calculation == 'errors':
y_axis = 'Errors'
data[_.environment][str(_.vusers)] = get_response_time_per_test(
_.build_id, _.name, _.lg_type, "", req, calculation)
else:
data[_.environment][str(_.vusers)] = None
labels = [""] + sorted(list(labels)) + [""]
return {"data": chart_data(labels, [], data, "data"), "label": y_axis}