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TESTS FAILED (50%)
Job Name
web_general_prod
Pipeline ID
Job ID
#4393362
Branch
master
Commit
N/A
Executed At
2026-09-06T19:26:34.363706
1
Passed
1
Failed
0
Skipped

Test Results (2 tests)

test_w26_promo_performance_tests[chromium]
failed
⏱️ Duration: 312.48s
❌ Error:
self = <tests.test_web_general.TestWebPhase1 object at 0x7f5228c005b0> main_page = <pages.main_page.MainPage object at 0x7f5228c01ed0> @pytest.mark.skip_testenv @pytest.mark.skip_smoke @pytest.mark.skip_sanity def test_w26_promo_performance_tests(self, main_page): """ W26 Promo Performance Tests Navigates to key prod URLs and asserts that server response and DOM processing times are within acceptable limits. """ > main_page.check_performance(_PERF_URLS) tests/test_web_general.py:206: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ pages/main_page.py:263: in check_performance server_avg, dom_avg = self.measure_page_performance(url) pages/main_page.py:256: in measure_page_performance round(statistics.mean(server_times), 2), _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ data = [] def mean(data): """Return the sample arithmetic mean of data. >>> mean([1, 2, 3, 4, 4]) 2.8 >>> from fractions import Fraction as F >>> mean([F(3, 7), F(1, 21), F(5, 3), F(1, 3)]) Fraction(13, 21) >>> from decimal import Decimal as D >>> mean([D("0.5"), D("0.75"), D("0.625"), D("0.375")]) Decimal('0.5625') If ``data`` is empty, StatisticsError will be raised. """ if iter(data) is data: data = list(data) n = len(data) if n < 1: > raise StatisticsError('mean requires at least one data point') E statistics.StatisticsError: mean requires at least one data point /usr/lib/python3.10/statistics.py:328: StatisticsError
📸 Failure Screenshot:
Test failure screenshot
test_w27_verify_header_for_logged_and_not_logged[chromium]
passed
⏱️ Duration: 14.03s