1a40649d2f
run_loop now accepts a single runtime or a list; it steps every camera each tick (one shared clock read), isolates a per-camera step exception, runs the periodic sync/heartbeat/flush once, and routes zones per camera via a zones_for(cfg, rt) callback. parse_cameras() reads CAMERAS='backend:device:camera_id,...' (single-camera fallback when unset) and refuses to yield zero cameras. zones_from_config() gains a camera_id filter; PipelineRuntime exposes camera_id. Single-camera behavior unchanged.
30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
import json
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from edge.detectors.zone import Zone
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def zones_from_config(config: dict, camera_id: str | None = None) -> list[Zone]:
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"""Parse cloud config zone rows into Zone objects. When camera_id is given, only
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rows for that camera are kept (multi-camera routing); None keeps all rows."""
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out: list[Zone] = []
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rows = config.get("zones", []) or []
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if not isinstance(rows, list):
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return []
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for row in rows:
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try:
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if camera_id is not None and str(row["camera_id"]) != str(camera_id):
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continue
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raw = row["polygon_json"]
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pts = json.loads(raw) if isinstance(raw, str) else raw
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polygon = [(float(p[0]), float(p[1])) for p in pts]
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if len(polygon) < 3:
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continue
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out.append(Zone(str(row["zone_id"]), str(row["level"]), polygon))
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except (KeyError, ValueError, TypeError, IndexError, AttributeError, json.JSONDecodeError):
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continue
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return out
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def thresholds_from_config(config: dict) -> dict:
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t = config.get("thresholds")
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return t if isinstance(t, dict) else {}
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