Dashboard cards, backup last-seen
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@@ -934,3 +934,63 @@ def dashboard_summary():
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'shopfloor': shopfloor_count,
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'nonshopfloor': total - shopfloor_count
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})
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@computers_bp.route('/dashboard/quiet', methods=['GET'])
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@jwt_required()
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@require_permission('computers.view')
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def dashboard_quiet():
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"""PCs that have stopped reporting, and PCs that never started.
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Two populations, deliberately distinguished rather than merged into one
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count. A PC that reported and went quiet is probably switched off, moved or
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broken. A PC that has NEVER reported is worse: it is either not enrolled, or
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enrolled against the wrong pc-type, so nothing enforces anything on it and
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no backup of it exists. That one hides indefinitely because nothing about it
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is failing loudly - and it is exactly the shape of the bay that carried a
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wrong machine number for weeks.
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Silence is the only signal available here. There is no heartbeat separate
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from the report, so 'stopped reporting' is measured against the collector's
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own last write.
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"""
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from datetime import datetime, timedelta, timezone
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hours = 24
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setting = Setting.query.filter_by(key='computers_quietreporthours').first()
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if setting and (setting.value or '').strip():
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try:
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hours = int(setting.value)
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except (TypeError, ValueError):
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pass
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cutoff = datetime.now(timezone.utc).replace(tzinfo=None) - timedelta(hours=hours)
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query = (db.session.query(Computer, Asset)
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.join(Asset, Asset.assetid == Computer.assetid)
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.filter(Asset.isactive.is_(True)))
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rows = []
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for comp, asset in query.all():
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last = comp.lastreporteddate
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if last is None:
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rows.append({
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'computerid': comp.computerid,
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'hostname': comp.hostname,
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'state': 'never reported',
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'lastreported': None,
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'quietdays': None,
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})
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elif last < cutoff:
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rows.append({
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'computerid': comp.computerid,
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'hostname': comp.hostname,
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'state': 'stopped reporting',
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'lastreported': last.isoformat() + 'Z',
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'quietdays': (datetime.now(timezone.utc).replace(tzinfo=None)
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- last).days,
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})
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# Never-reported first, then longest silence: the order someone should work
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# down the list, not the order the rows came out of the table.
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rows.sort(key=lambda r: (r['quietdays'] is not None, -(r['quietdays'] or 0)))
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return success_response(rows[:50])
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