Files
ruvnet--RuView/v2/crates/rvcsi-ruvector/src/lib.rs
T
Claude 6432dfbd2d feat(rvcsi): rvcsi-adapter-file (.rvcsi capture/replay) + rvcsi-ruvector (RF memory)
- rvcsi-adapter-file (ADR-095 FR1/FR10, D9): the `.rvcsi` JSONL capture format
  (CaptureHeader line + one CsiFrame per line), FileRecorder, FileReplayAdapter
  (a CsiSource — deterministic replay, preserves timestamps/ordering/validation
  verbatim, carries an unenforced replay_speed for the daemon/CLI), read_all().
  20 unit tests + 1 doctest.
- rvcsi-ruvector (ADR-095 FR8, D8) — standin for the production RuVector binding:
  deterministic embeddings (window_embedding = 32 resampled mean_amplitude bins +
  32 resampled phase_variance bins + [motion_energy, presence_score, quality_score,
  ln1p(frame_count)], L2-normalized, dim 68; event_embedding = 10-wide kind
  one-hot + confidence + ln1p(evidence count), dim 12), cosine_similarity, the
  RfMemoryStore trait + value objects (EmbeddingId/RecordKind/SimilarHit/
  DriftReport), and InMemoryRfMemory + JsonlRfMemory (file-backed append log,
  identical query semantics, latest-baseline-per-room-wins on reopen).
  20 unit tests + 1 doctest.

All rvcsi crates build and test together: core 29, dsp 28, events 18,
adapter-file 20(+1), adapter-nexmon 9, ruvector 20(+1) — 124 unit + 2 doc tests,
0 failures. forbid(unsafe_code) everywhere except rvcsi-adapter-nexmon (FFI).

https://claude.ai/code/session_01CdYAPvRTjcch6YrYf42n1z
2026-05-13 00:03:27 +00:00

59 lines
2.0 KiB
Rust

//! # rvCSI RuVector bridge
//!
//! Exports temporal RF embeddings + event metadata as a queryable RF-memory
//! store (ADR-095 FR8, D8).
//!
//! This crate is a **standin** for the production RuVector vector-database
//! binding (which gets wired in later). It provides:
//!
//! * deterministic, dependency-free embedding functions —
//! [`window_embedding`] / [`event_embedding`] / [`cosine_similarity`];
//! * the [`RfMemoryStore`] trait plus value objects ([`EmbeddingId`],
//! [`RecordKind`], [`SimilarHit`], [`DriftReport`]);
//! * two implementations: the in-process [`InMemoryRfMemory`] and the
//! file-backed [`JsonlRfMemory`] (JSONL append log, identical query semantics).
//!
//! Everything here is pure and deterministic given the same sequence of
//! operations — no clocks, randomness, or order-dependent reductions — so
//! captures replayed twice yield byte-identical stores and query results.
//!
//! ```
//! use rvcsi_ruvector::{InMemoryRfMemory, RfMemoryStore, window_embedding};
//! use rvcsi_core::{CsiWindow, SessionId, SourceId, WindowId};
//!
//! let w = CsiWindow {
//! window_id: WindowId(0),
//! session_id: SessionId(1),
//! source_id: SourceId::from("esp32"),
//! start_ns: 1_000,
//! end_ns: 2_000,
//! frame_count: 10,
//! mean_amplitude: vec![1.0, 2.0, 3.0],
//! phase_variance: vec![0.1, 0.2, 0.1],
//! motion_energy: 0.3,
//! presence_score: 0.7,
//! quality_score: 0.9,
//! };
//! let mut mem = InMemoryRfMemory::new();
//! let id = mem.store_window(&w).unwrap();
//! let hits = mem.query_similar(&window_embedding(&w), 1).unwrap();
//! assert_eq!(hits[0].id, id);
//! assert!((hits[0].score - 1.0).abs() < 1e-5);
//! ```
#![forbid(unsafe_code)]
#![warn(missing_docs)]
mod embedding;
mod jsonl;
mod memory;
mod store;
pub use embedding::{
cosine_similarity, event_embedding, window_embedding, EVENT_EMBEDDING_DIM,
WINDOW_EMBEDDING_DIM,
};
pub use jsonl::JsonlRfMemory;
pub use memory::InMemoryRfMemory;
pub use store::{DriftReport, EmbeddingId, RecordKind, RfMemoryStore, SimilarHit};