Refactor store dwell alert management API and dwell engine

- Updated argument parsing in manage_api.py to include new threshold parameters.
- Enhanced _config_payload to include thresholds and webhook configurations.
- Modified _build_summary to track queue metrics and adjust alert reporting.
- Refactored DwellEngine to utilize queue thresholds for alerting and reporting.
- Added queue metrics calculations and status change tracking in dwell_engine.py.
- Updated notifier.py to support posting JSON events to webhooks.
- Adjusted example configuration to reflect new threshold parameters.
- Enhanced Docker entrypoint script for better process management.
- Updated tests to cover new queue metrics and thresholds.
- Improved ManagedServiceDetail and ManagedServices Vue components to display queue metrics.

managed/people_flow_project/tests/test_queue_analytics.py

@@ -0,0 +1,43 @@
+from datetime import datetime
+from zoneinfo import ZoneInfo
+
+from src.people_flow.models import QueueConfig, TrackObservation
+from src.people_flow.queue_analytics import QueueWindowTracker
+
+TZ = ZoneInfo("Asia/Shanghai")
+
+
+def test_queue_window_tracker_builds_crowded_report():
+    tracker = QueueWindowTracker(
+        QueueConfig(
+            queue_time_threshold_seconds=300,
+            crowded_count_threshold=5,
+            normal_count_threshold=2,
+            pause_timeout_seconds=5,
+        ),
+        pixel_area=(0, 0, 100, 100),
+    )
+    start = datetime(2026, 4, 15, 11, 0, tzinfo=TZ)
+    crowded_tracks = [
+        TrackObservation(
+            track_id=index, bbox=(0, 0, 10, 10), confidence=0.9, center=(10, 10)
+        )
+        for index in range(1, 7)
+    ]
+    short_tracks = [
+        TrackObservation(
+            track_id=index, bbox=(0, 0, 10, 10), confidence=0.9, center=(10, 10)
+        )
+        for index in range(7, 9)
+    ]
+
+    tracker.observe(crowded_tracks, start)
+    tracker.observe(crowded_tracks, start.replace(minute=6))
+    tracker.observe(crowded_tracks + short_tracks, start.replace(minute=27))
+    tracker.observe(short_tracks, start.replace(minute=30))
+
+    queue_metrics = tracker.build_queue_metrics(start, start.replace(minute=30))
+
+    assert queue_metrics["over_threshold_count"] == 6
+    assert queue_metrics["under_threshold_count"] == 2
+    assert queue_metrics["queue_level"] == "crowded"