IntervalRule rule = new IntervalRule("10:00", "18:00", "1", 1000); // Sunday only

        // Test day overflow (day 8 should be treated as day 1)
        // For same-day rules, it should check the day directly
        assertTrue(rule.isTarget(12, 30, 8)); // Should be treated as day 1 (Sunday)

        // Test with cross-midnight rule

            DELETE FROM testExecution WHERE startTime < NOW() - INTERVAL 365 DAY;
            SELECT "results.testExecution count:" as database_table, COUNT(*) as stale_records FROM testExecution WHERE startTime < NOW() - INTERVAL 365 DAY;
            USE cross_build_results;

    /** Property key for search log purge day configuration. */
    public static final String PURGE_SEARCH_LOG_DAY_PROPERTY = "purge.searchlog.day";

    /** Property key for user info purge day configuration. */
    public static final String PURGE_USER_INFO_DAY_PROPERTY = "purge.userinfo.day";

    /** Property key for job log purge day configuration. */

    // Test edge cases to understand the validation behavior
    @Test
    public void test_edgeCaseBehavior() {
        String[] edgeCases = { "0 0 25 * * ?", // Invalid day of month
                "0 60 * * * ?", // Invalid minute
                "0 0 0 32 1 ?", // Invalid day
                "0 0 0 1 13 ?", // Invalid month
        };

        for (String cron : edgeCases) {
            boolean result = validator.determineValid(cron);

            assertTrue("Result for 7 days should be greater than 1 day", result7 > result1);
            assertTrue("Result for 1 day should be greater than 0 days", result1 > result0);

            // Verify that the differences are approximately correct
            long diff1 = result1 - result0;
            long diff7 = result7 - result0;

labels.searchlog_log_type_search_count_day=Search Count/Day
labels.searchlog_log_type_search_user_hour=User Count/Hour
labels.searchlog_log_type_search_user_day=User Count/Day
labels.searchlog_log_type_search_reqtimeavg_hour=Request Average Time/Hour
labels.searchlog_log_type_search_reqtimeavg_day=Request Average Time/Day
labels.searchlog_log_type_click_count=Click Count

labels.searchlog_log_type_search_count_day=Search Count/Day
labels.searchlog_log_type_search_user_hour=User Count/Hour
labels.searchlog_log_type_search_user_day=User Count/Day
labels.searchlog_log_type_search_reqtimeavg_hour=Request Average Time/Hour
labels.searchlog_log_type_search_reqtimeavg_day=Request Average Time/Day
labels.searchlog_log_type_click_count=Click Count

        testBoundaryValue(60000L);
        testBoundaryValue(-60000L);

        // Test one hour boundaries
        testBoundaryValue(3600000L);
        testBoundaryValue(-3600000L);

        // Test one day boundaries
        testBoundaryValue(86400000L);
        testBoundaryValue(-86400000L);
    }

    private void testBoundaryValue(long value) {
        FessConfig boundaryConfig = new FessConfig.SimpleImpl() {

But it's signed. So, when you receive a token that you emitted, you can verify that you actually emitted it.

That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.

    READY_FOR_NIGHTLY(
        "Ready for Nightly",
        "Rerun tests in different environments / 3rd party components",
        "ReadyforNightly",
    ),
    READY_FOR_RELEASE("Ready for Release", "Once a day: Rerun tests in more environments", "ReadyforRelease"),
    WEEKLY_VALIDATION(
        "Weekly Validation",
        "Once a week: Run tests in even more environments but less often",
        "WeeklyValidation",
    ),