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Update health_monitor.py

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MacRimi
2026-02-27 19:55:02 +01:00
parent 171e7ddcae
commit 9841e92634
1 changed files with 26 additions and 26 deletions
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52
AppImage/scripts/health_monitor.py
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@@ -2158,38 +2158,38 @@ class HealthMonitor:
# Get a representative critical error reason
representative_error = next(iter(critical_errors_found.values()))
reason = f'Critical error detected: {representative_error[:100]}'
elif cascade_count > 0:
status = 'WARNING'
samples = _get_samples(cascading_errors, 3)
reason = f'Error cascade ({cascade_count} patterns repeating):\n' + '\n'.join(f' - {s}' for s in samples)
elif spike_count > 0:
status = 'WARNING'
samples = _get_samples(spike_errors, 3)
reason = f'Error spike ({spike_count} patterns with 4x increase):\n' + '\n'.join(f' - {s}' for s in samples)
elif persistent_count > 0:
status = 'WARNING'
samples = _get_samples(persistent_errors, 3)
reason = f'Persistent errors ({persistent_count} patterns over 15+ min):\n' + '\n'.join(f' - {s}' for s in samples)
elif cascade_count > 0:
status = 'WARNING'
samples = _get_samples(cascading_errors, 3)
reason = f'Error cascade ({cascade_count} patterns repeating):\n' + '\n'.join(f' - {s}' for s in samples)
elif spike_count > 0:
status = 'WARNING'
samples = _get_samples(spike_errors, 3)
reason = f'Error spike ({spike_count} patterns with 4x increase):\n' + '\n'.join(f' - {s}' for s in samples)
elif persistent_count > 0:
status = 'WARNING'
samples = _get_samples(persistent_errors, 3)
reason = f'Persistent errors ({persistent_count} patterns over 15+ min):\n' + '\n'.join(f' - {s}' for s in samples)
else:
# No significant issues found
status = 'OK'
reason = None
# Record/clear persistent errors for each log sub-check so Dismiss works
cascade_samples = _get_samples(cascading_errors, 2) if cascade_count else []
spike_samples = _get_samples(spike_errors, 2) if spike_count else []
persist_samples = _get_samples(persistent_errors, 2) if persistent_count else []
log_sub_checks = {
'log_error_cascade': {'active': cascade_count > 0, 'severity': 'WARNING',
'reason': f'{cascade_count} pattern(s) repeating >=15 times:\n' + '\n'.join(f' - {s}' for s in cascade_samples) if cascade_count else ''},
'log_error_spike': {'active': spike_count > 0, 'severity': 'WARNING',
'reason': f'{spike_count} pattern(s) with 4x increase:\n' + '\n'.join(f' - {s}' for s in spike_samples) if spike_count else ''},
'log_persistent_errors': {'active': persistent_count > 0, 'severity': 'WARNING',
'reason': f'{persistent_count} recurring pattern(s) over 15+ min:\n' + '\n'.join(f' - {s}' for s in persist_samples) if persistent_count else ''},
'log_critical_errors': {'active': unique_critical_count > 0, 'severity': 'CRITICAL',
'reason': f'{unique_critical_count} critical error(s) found', 'dismissable': False},
}
cascade_samples = _get_samples(cascading_errors, 2) if cascade_count else []
spike_samples = _get_samples(spike_errors, 2) if spike_count else []
persist_samples = _get_samples(persistent_errors, 2) if persistent_count else []
log_sub_checks = {
'log_error_cascade': {'active': cascade_count > 0, 'severity': 'WARNING',
'reason': f'{cascade_count} pattern(s) repeating >=15 times:\n' + '\n'.join(f' - {s}' for s in cascade_samples) if cascade_count else ''},
'log_error_spike': {'active': spike_count > 0, 'severity': 'WARNING',
'reason': f'{spike_count} pattern(s) with 4x increase:\n' + '\n'.join(f' - {s}' for s in spike_samples) if spike_count else ''},
'log_persistent_errors': {'active': persistent_count > 0, 'severity': 'WARNING',
'reason': f'{persistent_count} recurring pattern(s) over 15+ min:\n' + '\n'.join(f' - {s}' for s in persist_samples) if persistent_count else ''},
'log_critical_errors': {'active': unique_critical_count > 0, 'severity': 'CRITICAL',
'reason': f'{unique_critical_count} critical error(s) found', 'dismissable': False},
}
# Track which sub-checks were dismissed
dismissed_keys = set()