From bf0cc0ccc098c1694106dd6383bb45ea9c647564 Mon Sep 17 00:00:00 2001 From: Tatiana Korchuganova Date: Mon, 25 Nov 2024 16:21:35 +0100 Subject: [PATCH] errorSummary | fix if no jobs found & user dash --- core/libs/exlib.py | 6 ++++-- core/tests.py | 2 +- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/core/libs/exlib.py b/core/libs/exlib.py index 6103917b..2b11d1f0 100644 --- a/core/libs/exlib.py +++ b/core/libs/exlib.py @@ -379,6 +379,8 @@ def calc_freq_time_series(timestamp_list, n_bins_max=60): :param n_bins_max: :return: freq: str - for data frame grouping """ + if len(timestamp_list) == 0: + return '10T' full_timerange_seconds = (max(timestamp_list) - min(timestamp_list)).total_seconds() step = 30 @@ -448,13 +450,13 @@ def build_stack_histogram(data_raw, **kwargs): # calc x-axis ticks, get average from each range x_axis_ticks = ['x'] ranges_all_avg = np.convolve(ranges_all, np.ones(2), 'valid') / 2 - x_axis_ticks.extend(list(np.round(ranges_all_avg, n_decimals))) + x_axis_ticks.extend([round_to_n_digits(r, n_decimals) for r in list(ranges_all_avg)]) ranges_all = list(ranges_all) for stack_param, data in data_raw.items(): column = [stack_param] - column.extend(list(np.histogram(data, ranges_all)[0])) + column.extend([int(r) for r in list(np.histogram(data, ranges_all)[0])]) # do not add if all the values are zeros if sum(column[1:]) > 0: columns.append(column) diff --git a/core/tests.py b/core/tests.py index 0ee9d1fd..3ca3e169 100644 --- a/core/tests.py +++ b/core/tests.py @@ -249,7 +249,7 @@ def test_api_errors_no_fields_specified(self): response = self.client.get('/errors/?json=1&limit=10&' + self.timestamp_str) self.assertEqual(response.status_code, 200) data = json.loads(response.content) - self.assertIsInstance(data, list) + self.assertIsInstance(data, dict) # files def test_files(self):