Commit Graph

5 Commits

Author SHA1 Message Date
ruv 900b877c64 docs(adr): ADR-099 — adopt midstream as RuView's real-time introspection + low-latency tap (Proposed)
ADR-098 rejected midstream as a *replacement* for RuView's existing seams.
ADR-099 is the other half: midstream's `temporal-compare` (DTW) and
`temporal-attractor-studio` (Lyapunov + regime classification) crates as a
*parallel* per-frame introspection tap, alongside the existing window-aggregated
event pipeline.

The 8 decisions:

  D1 — Only midstreamer-temporal-compare 0.2 + midstreamer-attractor 0.2;
       scheduler / neural-solver / strange-loop are out of scope of this ADR.
  D2 — Tap point: post-validate, parallel to WindowBuffer::push in csi.rs.
       The existing /ws/sensing path is unchanged.
  D3 — New /ws/introspection topic + /api/v1/introspection/snapshot REST endpoint
       carrying IntrospectionSnapshot { regime, lyapunov_exponent,
       attractor_dim, top_k_similarity }.
  D4 — Per-frame updates only, never window-blocked. Soonest-event latency on
       the "shape recognized" path collapses from ~533 ms (16-frame @ 30 Hz
       window) to ~33 ms (one frame), a ~16× win.
  D5 — temporal-neural-solver (LTL) is out of scope (separate MAT audit ADR).
  D6 — ESP32 firmware unchanged; deployment is host-side only.
  D7 — Signature library is JSON, on-disk, customer-owned; three reference
       signatures ship as developer fixtures.
  D8 — Promotion bar is empirical: ≥10× p99 latency reduction vs. the existing
       /ws/sensing event path, or the feature stays behind a CLI flag.

Indexed in docs/adr/README.md. Phased adoption (P0 spike + benchmark → P1 first
real signature library → P2 dashboard widget → P3 capture workflow → P4 optional
adaptive_classifier hook). Implementation lands as ~150–250 lines + one
integration test in v2/crates/wifi-densepose-sensing-server in follow-up PRs.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-13 22:42:05 -04:00
ruv 7a407556ba docs(adr): ADR-097 — adopt rvCSI as RuView's primary CSI runtime (Proposed)
rvCSI was extracted to its own repo (PR #542→#544): 9 crates on crates.io @
0.3.1, `@ruv/rvcsi` on npm, vendored at `vendor/rvcsi`. RuView currently
*vendors but does not consume* it — zero `rvcsi-*` deps in `v2/`, zero
`use rvcsi_…` imports, zero `@ruv/rvcsi` JS imports. ADR-097 decides:

  D1 — Depend on the published crates from crates.io, not the submodule path.
  D2 — Pilot in `wifi-densepose-sensing-server` (smallest, best-bounded
       touchpoint: UDP receiver + handlers + WS fan-out).
  D3 — `wifi-densepose-signal` is *layered on top of* rvCSI, not replaced.
       The SOTA / RuvSense modules go beyond rvCSI's scope and stay in
       RuView; they consume `rvcsi_core::CsiFrame`. Overlapping basic DSP
       primitives delegate to `rvcsi-dsp` or become thin shims.
  D4 — `wifi-densepose-hardware` stops carrying ESP32 wire-format parsing;
       the parser moves to a new `rvcsi-adapter-esp32` crate (ADR-095 §1.2
       / D15 follow-up, owned in the rvCSI repo).
  D5 — `wifi-densepose-ruvector` (training pipeline) and `rvcsi-ruvector`
       (runtime RF memory) stay separate for now; a follow-up unifies them
       once the production RuVector binding lands.
  D6 — `rvcsi_core::CsiFrame` is the boundary type at the runtime edge;
       one explicit `From`/`Into` conversion point at that edge.
  D7 — Track via `rvcsi-* = "0.3"` SemVer ranges + bump the `vendor/rvcsi`
       submodule pin per RuView release for reproducible offline builds.
  D8 — Once every consumer depends on crates.io, decide (separately)
       whether to drop the submodule.

Adoption is phased (P1 pilot → P2 signal shim → P3 ESP32 adapter →
P4 clean-up → P5 submodule review); each phase is one PR with tests.

Indexed in docs/adr/README.md.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-13 09:23:25 -04:00
Claude 94745242a8
feat(rvcsi): rvcsi-dsp (DSP stages + SignalPipeline) + ADR-096 (FFI/crate layout)
- rvcsi-dsp — reusable signal-processing stages (ADR-095 FR4): mean/variance/
  std_dev/median, remove_dc_offset, unwrap_phase, moving_average, ewma,
  hampel_filter(_count), short_window_variance, subtract_baseline + DspError;
  scalar features motion_energy(_series), presence_score (logistic, ≈0.5 at
  threshold), confidence_score, breathing_band_estimate (heuristic, FFT-free);
  SignalPipeline (hampel → smooth → DC-remove → baseline-subtract → unwrap,
  non-destructive of validation state) + learn_baseline. 28 tests, clippy-clean,
  forbid(unsafe_code), no heavy deps.
- docs/adr/ADR-096-rvcsi-ffi-crate-layout.md — the implementation ADR: 8-crate
  topology, the napi-c shim record format + contract, the napi-rs Node surface,
  build/test invariants, alternatives. Indexed in docs/adr/README.md.
- CHANGELOG: rvCSI entry updated to cover the implementation crates.

https://claude.ai/code/session_01CdYAPvRTjcch6YrYf42n1z
2026-05-13 00:00:40 +00:00
Claude d98b7e3f65
docs: rvCSI edge RF sensing platform — PRD, ADR-095, DDD domain model
Adds design documentation for rvCSI, a Rust-first / TypeScript-accessible /
hardware-abstracted edge RF sensing runtime that normalizes WiFi CSI from
Nexmon, ESP32, Intel, Atheros, file and replay sources into one validated
CsiFrame schema, runs reusable DSP, emits typed confidence-scored events,
and bridges to RuVector RF memory, an MCP tool server and a TS SDK.

- docs/prd/rvcsi-platform-prd.md — purpose, users, success criteria,
  FR1-FR10, NFRs (safety/perf/reliability/privacy/security/portability),
  system architecture, runtime components, reference layout, data model
- docs/adr/ADR-095-rvcsi-edge-rf-sensing-platform.md — the 15 architectural
  decisions (Rust core, C-at-the-boundary, TS SDK via napi-rs, normalized
  schema, validate-before-FFI, CSI-as-temporal-delta, RuVector as RF memory,
  replayability, detection != decision, local-first, read-first/write-gated
  MCP, mandatory quality scoring, versioned calibration, plugin adapters)
- docs/ddd/rvcsi-domain-model.md — 7 bounded contexts (Capture, Validation,
  Signal, Calibration, Event, Memory, Agent) with aggregates, invariants,
  context map, data model and domain services
- indexed in docs/adr/README.md and docs/ddd/README.md; CHANGELOG entry

Design-only; no code or crates added yet.

https://claude.ai/code/session_01CdYAPvRTjcch6YrYf42n1z
2026-05-12 23:15:10 +00:00
ruv 7e43edf26a docs: add ADR index with intro on ADRs for AI-assisted development
Explains why ADRs matter for AI-generated code (prevents drift,
provides constraints and rationale), how they work with DDD domain
models, and indexes all 44 ADRs by category.

Also fixes ADR count 43 -> 44 in main README.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-03 16:35:17 -05:00