def test_get_all_runs_time_series_by_key(self):
time_a = datetime.datetime(1914, 6, 28, 10, 45, 0)
run_a = api.create_run(run_at=time_a)
run_b = api.create_run()
time_c = datetime.datetime(1918, 11, 11, 11, 11, 11)
run_c = api.create_run(run_at=time_c)
api.add_run_metadata({'not_a_key': 'not_a_value'}, run_b.id)
api.add_run_metadata({'a_key': 'a_value'}, run_a.id)
api.add_run_metadata({'a_key': 'c_value'}, run_c.id)
result = api.get_all_runs_time_series_by_key('a_key')
self.assertEqual(2, len(result.keys()))
self.assertIn(time_a.date(), [x.date() for x in result.keys()])
self.assertIn(time_c.date(), [x.date() for x in result.keys()])
def test_get_all_runs_time_series_by_key(self):
time_a = datetime.datetime(1914, 6, 28, 10, 45, 0)
run_a = api.create_run(run_at=time_a)
run_b = api.create_run()
time_c = datetime.datetime(1918, 11, 11, 11, 11, 11)
run_c = api.create_run(run_at=time_c)
api.add_run_metadata({'not_a_key': 'not_a_value'}, run_b.id)
api.add_run_metadata({'a_key': 'a_value'}, run_a.id)
api.add_run_metadata({'a_key': 'c_value'}, run_c.id)
result = api.get_all_runs_time_series_by_key('a_key')
self.assertEqual(2, len(result.keys()))
self.assertIn(time_a.date(), [x.date() for x in result.keys()])
self.assertIn(time_c.date(), [x.date() for x in result.keys()])
def get_runs_grouped_by_metadata_per_datetime(key):
session = get_session()
start_date = _parse_datetimes(flask.request.args.get('start_date', None))
stop_date = _parse_datetimes(flask.request.args.get('stop_date', None))
datetime_resolution = flask.request.args.get('datetime_resolution', 'sec')
sec_runs = api.get_all_runs_time_series_by_key(key, start_date,
stop_date, session)
if datetime_resolution not in ['sec', 'min', 'hour', 'day']:
return ('Datetime resolution: %s, is not a valid'
' choice' % datetime_resolution), 400
runs = RunAggregator(sec_runs).aggregate(datetime_resolution)
return jsonify({'runs': runs})
def get_runs_grouped_by_metadata_per_datetime(key):
key = parse.unquote(key)
start_date = _parse_datetimes(flask.request.args.get('start_date', None))
stop_date = _parse_datetimes(flask.request.args.get('stop_date', None))
datetime_resolution = flask.request.args.get('datetime_resolution', 'sec')
with session_scope() as session:
sec_runs = api.get_all_runs_time_series_by_key(key, start_date,
stop_date, session)
if datetime_resolution not in ['sec', 'min', 'hour', 'day']:
return ('Datetime resolution: %s, is not a valid'
' choice' % datetime_resolution), 400
runs = run_aggregator.RunAggregator(sec_runs).aggregate(
datetime_resolution)
return jsonify({'runs': runs})
