Indiana 004f66171f feat: hardware sensor anomalies feed the summon pipeline (Workstream K) ...

Adds backend/app/device_anomaly.py — per-(user_id, device_id, sensor_type)
rolling-baseline anomaly detection for continuous numeric sensors
(structurally modeled on telemetry.detect_wire_spike: min samples, an
absolute floor, 3-sigma + relative threshold, with per-sensor-type floors
since units vary wildly) plus a false->true state-transition detector for
discrete/boolean sensors like presence.

Adds a module-level active-session registry in app/ws.py
(register_active_session/unregister_active_session/get_active_session)
so hardware ingestion (a plain HTTP call, not a WS connection) can find a
user's live SeanceState.

process_device_reading_for_summon(user_id, device_id, sensor_type, value,
unit) is the self-contained entry point Workstream G's ingestion handler
will call into: classifies numeric vs. boolean, runs the reading through
the right detector, and on a genuine anomaly pushes it into the active
session via the existing _handle_anomaly path (source=sensor_type,
frequency=stable per-sensor-type constant, magnitude=deviation-from-
baseline or a fixed constant for boolean transitions) — reusing the full
existing signature/mint/Codex pipeline, no new mint logic.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

2026-07-24 01:14:11 +00:00

12 KiB

Raw Blame History

View Raw