feat: temporal validation of alerts on pi - #415
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…X temporal model
POST /jobs takes a window of frames plus YOLO boxes for one camera pose
and returns a job id at once; a worker thread scores it with
OnnxTemporalModel and GET /jobs/{id} serves the verdict. No torch.
With TEMPORAL_API_URL set, the engine keeps the last 10 inference frames and boxes per camera pose, submits them when an alert becomes ongoing and reads the verdict on the next round. Negative verdicts resubmit the longer window; service errors fail open.
bullseye LTS ended in August 2026: its security repo now serves an expired release file and apt-get update fails in every build.
…ge, compose profile Per-frame size limit and pending-job cap on POST /jobs, service bound to 127.0.0.1 on the host network, image added to the build-and-push matrix so make run can pull it, and the service placed behind the temporal compose profile so disabled stacks do not start it.
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An event ending while the temporal job was pending was dropped by _end_event, so a positive verdict never uploaded the frames held during scoring. The state now survives until the verdict: positive stages the held frames, negative drops the event without resubmitting.
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pyro_temporal_apiand reads the verdict on the next round. A negative verdict resubmits with the new frame, a service error fails open.model_onnx.zip), behind the compose profiletemporal. UnsetTEMPORAL_API_URLkeeps today's behaviour.model_onnx.zipmust be exported from the merged code: the graph now has a dynamic batch axis and older exports fail with more than one tube.Tested on a Pi 5 with a fake box injected on two poses: verdicts, hold and upload work as expected. Scoring takes about 8 s per job at 2.5 cores, the service uses about 1 GB of RAM.