def _timeframe(args, time_as_ts=False):
end_time = args['end_time']
high_value = args.get('high_value', 100)
if not end_time:
end_time = datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%S.%fZ")
high_value = 100
return calculate_proper_timeframe(args['build_id'], args['test_name'], args['lg_type'], args.get('low_value', 0),
high_value, args['start_time'], end_time, args.get('aggregator', 'auto'),
time_as_ts=time_as_ts)
def prepare_comparison_responses(args):
tests = args['id[]']
tests_meta = []
longest_test = 0
longest_time = 0
sampler = args.get('sampler', "REQUEST")
for i in range(len(tests)):
data = APIReport.query.filter_by(id=tests[i]).first().to_json()
if data['duration'] > longest_time:
longest_time = data['duration']
longest_test = i
tests_meta.append(data)
start_time, end_time, aggregation = calculate_proper_timeframe(
args.get('low_value', 0), args.get('high_value', 100),
tests_meta[longest_test]['start_time'],
tests_meta[longest_test]['end_time'], args.get('aggregator', 'auto'))
if args.get('aggregator', 'auto') != "auto":
aggregation = args.get('aggregator')
metric = args.get('metric', '')
scope = args.get('scope', '')
status = args.get("status", 'all')
timestamps, users = get_backend_users(tests_meta[longest_test]['build_id'],
tests_meta[longest_test]['lg_type'],
start_time, end_time, aggregation)
test_start_time = "{}_{}".format(
tests_meta[longest_test]['start_time'].replace("T", " ").split(".")[0],
metric)
data = {
test_start_time:
calculate_analytics_dataset(tests_meta[longest_test]['build_id'],
tests_meta[longest_test]['name'],
tests_meta[longest_test]['lg_type'],
start_time, end_time, aggregation, sampler,
scope, metric, status)
}
for i in range(len(tests_meta)):
if i != longest_test:
test_start_time = "{}_{}".format(
tests_meta[i]['start_time'].replace("T", " ").split(".")[0],
metric)
data[test_start_time] = calculate_analytics_dataset(
tests_meta[i]['build_id'], tests_meta[i]['name'],
tests_meta[i]['lg_type'], tests_meta[i]['start_time'],
tests_meta[i]['end_time'], aggregation, sampler, scope, metric,
status)
return comparison_data(timeline=timestamps, data=data)