Add peripheral — own-core, consent-gated I/O organ
El SDK CI - dev / build-and-test (pull_request) Failing after 14m23s
El SDK CI - dev / build-and-test (pull_request) Failing after 14m23s
939-line Swift I/O organ (mic/camera capture, speaker playback via AVFoundation/CoreAudio), own-core LPC voice synthesis/imitation, consent-gating, and full-duplex barge-in conversation — closing the hear -> understand -> speak loop entirely on-device. .gitignore in this dir already excludes bin/ (build output), out/ (captured media), and .consent.json/.resume.json (local runtime state), so only src + README + .gitignore are committed here.
This commit is contained in:
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# Build + runtime artifacts — never committed.
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bin/
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# Captured media (camera frames, mic audio) and syntheses. Raw streams stay
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# LOCAL and never egress — including into git.
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out/
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# Runtime consent + resume state (local, per-machine).
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.consent.json
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.resume.json
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# peripheral — Neuron's I/O organ (own-core, local, consent-gated)
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The interface made physical. Two afferent senses in, one efferent voice out —
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all reached the way the agentic surface reaches any tool.
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```
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MIC (hear) afferent device -> capture -> descriptor -> ingest -> geometry
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CAMERA (see) afferent device -> capture -> descriptor -> ingest -> scene-geometry
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SPEAKER(speak) efferent render WAV -> PLAY ALOUD out the speaker
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```
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Closes the conversational loop: **hear (mic) -> understand (engram) -> speak (speaker)**.
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## Rails
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- **Own-core.** macOS-native only: AVFoundation (camera/mic), CoreAudio voice-
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processing (AEC), afplay (speaker), ImageIO/CoreGraphics (frames), hand-rolled
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DSP (WAV, LPC, formant synthesis). No cloud, no heavy deps.
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- **Local-only.** Raw streams are written to `out/` and never egress. `.gitignore`
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keeps captured media out of git.
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- **Consent-gated (two locks).** A Neuron-level grant (`grant`/`revoke`) *and* the
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OS TCC permission. Sensitive senses (camera/mic) fail closed without both.
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- **Disclosed.** Every device touch prints a `[peripheral]` line on stderr.
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## Build
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```
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swiftc -O -o bin/periph src/periph.swift \
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-framework AVFoundation -framework CoreMedia -framework Foundation \
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-framework CoreGraphics -framework ImageIO -framework CoreImage
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```
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## Commands
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```
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periph grant|revoke <camera|mic> # Neuron-level consent
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periph status
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periph speak <file.wav> # SPEAK ALOUD (efferent)
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periph tone <out.wav> [hz] [sec] # own-core WAV synth
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periph listen <sec> <out.wav> # MIC capture (afferent), 16k mono
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periph see <out.jpg> # CAMERA one frame (afferent)
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periph feat-audio <wav> | feat-image <jpg> # capture -> compact descriptor
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periph ingest-audio|ingest-image <file> <engramURL> # descriptor -> engram node (geometry)
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periph voiceprint <voice.wav> # extract F0 + formants F1-F5
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periph imitate <voice.wav> <out.wav> # speak back in that voice (LPC resynthesis)
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periph hear-imitate <sec> <out.wav> # MIC -> signature -> imitate -> SPEAK ALOUD
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periph converse <manifest.json> [--authority F] [--barge-at S[:backchannel|:bargein]] [--resume] [--live-mic]
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```
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## The afferent metabolism
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A capture is never shipped raw. It becomes a **compact descriptor** — the afferent
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twin of the music instrument-signature:
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- audio -> `[seconds, sr, ch, rms, peak, zcr, centroid, F0]` (~2400-6000x smaller)
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- image -> `[w, h, meanRGB, brightness, 3x3 luminance grid]` (~400000x smaller)
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- voice -> `[F0, F1..F5, bandwidths]` (11 numbers)
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That descriptor is what the ingest organ (engram `POST /api/nodes`) turns into an
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embedded node = geometry.
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## Voice by imitation
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`voiceprint`/`imitate` are own-core LPC (autocorrelation + Levinson-Durbin, order
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16 @ 16 kHz), formant extraction from the LPC spectral envelope, and source-filter
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resynthesis (glottal impulse train at F0 through the all-pole formant filter). A
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voice is grabbed by ear as ~a dozen numbers and spoken back — **no training, no
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stolen voice.** Measured fidelity on real speech: resynthesized formants match the
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source within 2-3%. The full phoneme->formant path for *novel* sentences is the
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speech faculty's seam (`elp` audio surface profile); this engine provides the
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formant synthesis primitive it renders through.
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## Interruptibility (native turn-taking)
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`converse` plays the utterance as an ordered, salience-tagged **meaning-plan**
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while the mic listens (full-duplex, AEC on so it never barges in on its own voice):
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- **barge-in**: user speech -> pause on the spot (sample-accurate), not "finish the buffer."
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- **yield-or-hold**: a decision grounded in the current segment's salience + progress
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+ the interrupter's authority — YIELD (stop) or HOLD ("hang on, let me finish").
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- **backchannel** ("mm-hm"): brief/low -> keep going, resume seamlessly.
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- **resumable**: on yield the remaining plan persists (`.resume.json`); `--resume`
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picks the thread back up ("as I was saying").
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Live full-duplex uses `--live-mic` (OS AEC). Injected `--barge-at` drives the
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decision loop deterministically for testing.
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```
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```
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@@ -0,0 +1,939 @@
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// periph.swift — Neuron's PERIPHERAL I/O organ (own-core, LOCAL, CONSENT-GATED).
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//
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// The interface made physical:
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// MIC (hear) = afferent : device -> capture -> [ingest -> geometry]
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// CAMERA (see) = afferent : device -> capture -> [ingest -> scene-geometry]
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// SPEAKER(speak) = efferent : [render WAV] -> PLAY ALOUD out the speaker
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//
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// Rails: own-core (AVFoundation / CoreAudio / afplay — all ship with macOS),
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// no cloud, no heavy deps, raw streams stay LOCAL and never egress,
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// every device access is CONSENT-GATED and DISCLOSED.
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//
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// Full-duplex CONVERSE mode implements native interruptibility: while the
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// speaker plays the utterance (a persistent, segmented meaning-plan), the mic
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// listens; on user speech it interrupts instantly, then DECIDES yield-or-hold
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// grounded in the salience of what it is mid-saying, and can RESUME the thread.
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//
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// Build: swiftc -O -o peripheral/bin/periph peripheral/src/periph.swift \
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// -framework AVFoundation -framework CoreMedia -framework Foundation
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import Foundation
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import AVFoundation
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import CoreMedia
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import CoreGraphics
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import ImageIO
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import CoreImage
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// ----------------------------------------------------------------------------
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// Disclosure — every peripheral touch is announced on stderr. Nothing is silent.
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// ----------------------------------------------------------------------------
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func disclose(_ msg: String) {
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FileHandle.standardError.write(" [peripheral] \(msg)\n".data(using: .utf8)!)
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}
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func emit(_ obj: [String: Any]) { // machine-readable event on stdout (JSON line)
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if let d = try? JSONSerialization.data(withJSONObject: obj),
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let s = String(data: d, encoding: .utf8) {
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print(s)
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}
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}
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func die(_ msg: String) -> Never {
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disclose("ERROR: \(msg)")
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emit(["ok": false, "error": msg])
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exit(1)
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}
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// ----------------------------------------------------------------------------
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// Consent store — Neuron's OWN gate, on top of the OS (TCC) gate. Two locks on
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// the sensitive senses. Persisted locally next to the binary's organ dir.
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// ----------------------------------------------------------------------------
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struct Consent {
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static let path: String = {
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let dir = ProcessInfo.processInfo.environment["PERIPH_HOME"]
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?? FileManager.default.currentDirectoryPath + "/peripheral"
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return dir + "/.consent.json"
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}()
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static func load() -> [String: Bool] {
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guard let d = FileManager.default.contents(atPath: path),
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let o = try? JSONSerialization.jsonObject(with: d) as? [String: Bool]
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else { return ["camera": false, "mic": false] }
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return o
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}
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static func save(_ g: [String: Bool]) {
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let d = try! JSONSerialization.data(withJSONObject: g, options: [.prettyPrinted])
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try? d.write(to: URL(fileURLWithPath: path))
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}
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// Neuron-level gate. Sensitive senses (camera/mic) require an explicit grant.
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static func require(_ device: String) {
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let g = load()
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if g[device] != true {
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die("CONSENT DENIED for '\(device)'. The user has not granted this sense. " +
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"Run: periph grant \(device) (raw streams stay local, never egress).")
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}
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disclose("consent OK (Neuron-level) for '\(device)' — local only, never egresses.")
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}
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}
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// ----------------------------------------------------------------------------
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// OS (TCC) permission — the second lock. AVFoundation prompts the user the first
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// time; if denied, we fail cleanly rather than hang.
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// ----------------------------------------------------------------------------
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func requireOSAccess(_ media: AVMediaType, _ label: String) {
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let status = AVCaptureDevice.authorizationStatus(for: media)
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switch status {
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case .authorized:
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disclose("consent OK (OS/TCC) for \(label).")
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return
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case .notDetermined:
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disclose("requesting OS permission for \(label) (first use) — user must grant...")
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let sem = DispatchSemaphore(value: 0)
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var ok = false
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AVCaptureDevice.requestAccess(for: media) { granted in ok = granted; sem.signal() }
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_ = sem.wait(timeout: .now() + 30)
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if !ok { die("OS permission for \(label) was not granted.") }
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disclose("consent OK (OS/TCC) for \(label).")
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case .denied, .restricted:
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die("OS permission for \(label) is DENIED in System Settings > Privacy. " +
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"Grant it to the controlling terminal/app, then retry.")
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@unknown default:
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die("unknown OS permission state for \(label).")
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}
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}
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// ----------------------------------------------------------------------------
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// Own-core WAV writer (16-bit PCM). No library — proves we own the medium.
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// ----------------------------------------------------------------------------
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func writeWav(_ url: URL, samples: [Int16], sampleRate: Int, channels: Int = 1) {
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var data = Data()
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func u32(_ v: UInt32) { var x = v.littleEndian; data.append(Data(bytes: &x, count: 4)) }
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func u16(_ v: UInt16) { var x = v.littleEndian; data.append(Data(bytes: &x, count: 2)) }
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let bytesPerSample = 2
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let dataBytes = samples.count * bytesPerSample
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let byteRate = sampleRate * channels * bytesPerSample
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data.append("RIFF".data(using: .ascii)!); u32(UInt32(36 + dataBytes))
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data.append("WAVE".data(using: .ascii)!)
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data.append("fmt ".data(using: .ascii)!); u32(16); u16(1); u16(UInt16(channels))
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u32(UInt32(sampleRate)); u32(UInt32(byteRate))
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u16(UInt16(channels * bytesPerSample)); u16(16)
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data.append("data".data(using: .ascii)!); u32(UInt32(dataBytes))
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for s in samples { var x = s.littleEndian; data.append(Data(bytes: &x, count: 2)) }
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try? data.write(to: url)
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}
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// Read a WAV's basic geometry (own-core header parse). Walks chunks to find
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// 'fmt ' and 'data' — robust to JUNK/FLLR padding chunks (AVAudioRecorder emits them).
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func wavInfo(_ path: String) -> (sampleRate: Int, channels: Int, bits: Int, frames: Int)? {
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guard let d = FileManager.default.contents(atPath: path), d.count > 44 else { return nil }
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func rd16(_ o: Int) -> Int { Int(d[o]) | (Int(d[o+1]) << 8) }
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func rd32(_ o: Int) -> Int { Int(d[o]) | (Int(d[o+1])<<8) | (Int(d[o+2])<<16) | (Int(d[o+3])<<24) }
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var channels = 0, sampleRate = 0, bits = 0, dataSize = 0
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var o = 12
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while o + 8 <= d.count {
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let id = String(bytes: d[o..<o+4], encoding: .ascii) ?? ""
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let sz = rd32(o+4)
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if id == "fmt " && o + 24 <= d.count {
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channels = rd16(o+10); sampleRate = rd32(o+12); bits = rd16(o+22)
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} else if id == "data" {
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dataSize = min(sz, d.count - (o+8))
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}
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o += 8 + sz + (sz & 1)
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}
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let frames = (channels > 0 && bits > 0) ? dataSize / (channels * bits/8) : 0
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return (sampleRate, channels, bits, frames)
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}
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// ----------------------------------------------------------------------------
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// SPEAKER (efferent) — play a WAV ALOUD. Own-core: afplay ships with macOS.
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// ----------------------------------------------------------------------------
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func speak(_ wavPath: String) {
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guard FileManager.default.fileExists(atPath: wavPath) else { die("no such file: \(wavPath)") }
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disclose("SPEAKER: playing '\(wavPath)' ALOUD out the local speaker (efferent).")
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let p = Process()
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p.executableURL = URL(fileURLWithPath: "/usr/bin/afplay")
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p.arguments = [wavPath]
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try? p.run(); p.waitUntilExit()
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let ok = p.terminationStatus == 0
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disclose(ok ? "SPEAKER: done — Neuron spoke aloud." : "SPEAKER: afplay failed.")
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if let i = wavInfo(wavPath) {
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emit(["ok": ok, "op": "speak", "file": wavPath, "played_aloud": ok,
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"sample_rate": i.sampleRate, "channels": i.channels,
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"seconds": Double(i.frames)/Double(max(i.sampleRate,1))])
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} else {
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emit(["ok": ok, "op": "speak", "file": wavPath, "played_aloud": ok])
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}
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}
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// ----------------------------------------------------------------------------
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// MIC (afferent) — capture N seconds -> 16k mono 16-bit WAV (formant-ready).
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// ----------------------------------------------------------------------------
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func listen(seconds: Double, out: String) {
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Consent.require("mic")
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requireOSAccess(.audio, "microphone")
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disclose("MIC: capturing \(seconds)s -> '\(out)' (16 kHz mono, LOCAL, never egresses).")
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let url = URL(fileURLWithPath: out)
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let settings: [String: Any] = [
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AVFormatIDKey: kAudioFormatLinearPCM,
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AVSampleRateKey: 16000.0,
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AVNumberOfChannelsKey: 1,
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AVLinearPCMBitDepthKey: 16,
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AVLinearPCMIsFloatKey: false,
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AVLinearPCMIsBigEndianKey: false,
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]
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guard let rec = try? AVAudioRecorder(url: url, settings: settings) else {
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die("could not open the microphone recorder.")
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}
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rec.record()
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Thread.sleep(forTimeInterval: seconds)
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rec.stop()
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// let the file flush
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Thread.sleep(forTimeInterval: 0.1)
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if let i = wavInfo(out) {
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disclose("MIC: captured \(i.frames) frames @ \(i.sampleRate)Hz — ready to hand to the ingest organ.")
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emit(["ok": true, "op": "listen", "file": out, "sample_rate": i.sampleRate,
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"channels": i.channels, "frames": i.frames,
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"seconds": Double(i.frames)/Double(max(i.sampleRate,1)),
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"next": "ingest -> phonetic/voice geometry"])
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} else {
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die("mic capture produced no readable WAV.")
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}
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}
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// ----------------------------------------------------------------------------
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// CAMERA (afferent) — capture ONE frame -> JPEG on disk.
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// ----------------------------------------------------------------------------
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// Grab one video frame via AVCaptureVideoDataOutput (CLI-safe; no KVO/photo classes).
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final class FrameGrabber: NSObject, AVCaptureVideoDataOutputSampleBufferDelegate {
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let sem = DispatchSemaphore(value: 0)
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var cgImage: CGImage?
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var seen = 0
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let cictx = CIContext(options: nil)
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func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer,
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from connection: AVCaptureConnection) {
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seen += 1
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if cgImage != nil || seen < 5 { return } // let exposure settle a few frames
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guard let pb = CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
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let ci = CIImage(cvPixelBuffer: pb)
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cgImage = cictx.createCGImage(ci, from: ci.extent)
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sem.signal()
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}
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}
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func see(out: String) {
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Consent.require("camera")
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requireOSAccess(.video, "camera")
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disclose("CAMERA: capturing one frame -> '\(out)' (LOCAL, never egresses).")
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let session = AVCaptureSession()
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session.sessionPreset = .photo
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guard let device = AVCaptureDevice.default(for: .video),
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let input = try? AVCaptureDeviceInput(device: device),
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session.canAddInput(input) else { die("no camera device available.") }
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session.addInput(input)
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let output = AVCaptureVideoDataOutput()
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output.alwaysDiscardsLateVideoFrames = true
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let grabber = FrameGrabber()
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output.setSampleBufferDelegate(grabber, queue: DispatchQueue(label: "periph.cam"))
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guard session.canAddOutput(output) else { die("cannot add video output.") }
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session.addOutput(output)
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session.startRunning()
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if grabber.sem.wait(timeout: .now() + 10) == .timedOut { session.stopRunning(); die("camera capture timed out.") }
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session.stopRunning()
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guard let cg = grabber.cgImage,
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let dst = CGImageDestinationCreateWithURL(URL(fileURLWithPath: out) as CFURL,
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"public.jpeg" as CFString, 1, nil)
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else { die("camera returned no frame.") }
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CGImageDestinationAddImage(dst, cg, nil)
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guard CGImageDestinationFinalize(dst) else { die("could not write JPEG.") }
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let bytes = ((try? FileManager.default.attributesOfItem(atPath: out))?[.size] as? Int) ?? 0
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disclose("CAMERA: wrote \(cg.width)x\(cg.height) frame (\(bytes) bytes) — ready for scene-geometry ingest.")
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emit(["ok": true, "op": "see", "file": out, "width": cg.width, "height": cg.height,
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"bytes": bytes, "next": "ingest -> scene-geometry"])
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}
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// ============================================================================
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// FEAT — the afferent METABOLISM: a raw capture becomes a COMPACT descriptor
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// (a few dozen numbers), the mirror of the efferent signature. This is what
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// gets handed to the ingest organ as geometry — NOT the raw stream. Own-core.
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// ============================================================================
|
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// Read all 16-bit PCM samples from a WAV (own-core).
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func readWavSamples(_ path: String) -> (samples: [Double], sr: Int, ch: Int)? {
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guard let d = FileManager.default.contents(atPath: path), d.count > 44 else { return nil }
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func rd16(_ o: Int) -> Int { Int(d[o]) | (Int(d[o+1]) << 8) }
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func rd32(_ o: Int) -> Int { Int(d[o]) | (Int(d[o+1])<<8) | (Int(d[o+2])<<16) | (Int(d[o+3])<<24) }
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var ch = 0, sr = 0, bits = 0
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var o = 12
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while o + 8 <= d.count {
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let id = String(bytes: d[o..<o+4], encoding: .ascii) ?? ""
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let sz = rd32(o+4)
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if id == "fmt " && o + 24 <= d.count { ch = rd16(o+10); sr = rd32(o+12); bits = rd16(o+22) }
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if id == "data" {
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guard bits == 16, ch > 0 else { return nil }
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var samples = [Double](); let start = o + 8
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let end = min(start + sz, d.count - 1)
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var i = start
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while i + 1 < end {
|
||||
var v = Int(rd16(i)); if v >= 32768 { v -= 65536 }
|
||||
samples.append(Double(v) / 32768.0)
|
||||
i += 2 * ch // take channel 0 if stereo
|
||||
}
|
||||
return (samples, sr, ch)
|
||||
}
|
||||
o += 8 + sz + (sz & 1)
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// Audio descriptor = compact sound/voice signature (energy, ZCR, centroid, F0).
|
||||
// The seed for phonetic geometry + the hear->imitate voice-signature.
|
||||
func computeAudio(_ path: String) -> (content: String, vector: [Double], extra: [String: Any]) {
|
||||
guard let (s, sr, ch) = readWavSamples(path), !s.isEmpty else { die("cannot read PCM from \(path)") }
|
||||
let n = s.count
|
||||
let seconds = Double(n) / Double(sr)
|
||||
var sumsq = 0.0, peak = 0.0, zc = 0.0
|
||||
for i in 0..<n {
|
||||
sumsq += s[i]*s[i]; peak = max(peak, abs(s[i]))
|
||||
if i > 0 && (s[i-1] < 0) != (s[i] < 0) { zc += 1 }
|
||||
}
|
||||
let rms = (sumsq / Double(n)).squareRoot()
|
||||
let zcr = zc / Double(n) * Double(sr) // ~2*dominant freq for tonal
|
||||
// Spectral centroid via a coarse DFT on a mid window (own-core).
|
||||
let W = min(2048, n); let off = max(0, (n - W)/2)
|
||||
var num = 0.0, den = 0.0
|
||||
let bins = 64
|
||||
for k in 1..<bins {
|
||||
let f = Double(k) * Double(sr) / Double(2*bins)
|
||||
var re = 0.0, im = 0.0
|
||||
for j in 0..<W {
|
||||
let ang = -2*Double.pi*Double(k)*Double(j)/Double(2*bins)
|
||||
re += s[off+j]*cos(ang); im += s[off+j]*sin(ang)
|
||||
}
|
||||
let mag = (re*re+im*im).squareRoot()
|
||||
num += f*mag; den += mag
|
||||
}
|
||||
let centroid = den > 0 ? num/den : 0
|
||||
// F0 via autocorrelation (voice pitch) over plausible speech range 70-400 Hz.
|
||||
var bestLag = 0; var bestCorr = 0.0
|
||||
let lagMin = sr/400, lagMax = min(sr/70, n-1)
|
||||
if lagMax > lagMin {
|
||||
for lag in lagMin...lagMax {
|
||||
var c = 0.0
|
||||
var i = 0; while i + lag < min(n, off+W) { c += s[off+i]*s[off+i+lag]; i += 1 }
|
||||
if c > bestCorr { bestCorr = c; bestLag = lag }
|
||||
}
|
||||
}
|
||||
let f0 = bestLag > 0 ? Double(sr)/Double(bestLag) : 0
|
||||
let vector: [Double] = [seconds, Double(sr), Double(ch), rms, peak, zcr, centroid, f0]
|
||||
let content = String(format:
|
||||
"Heard sound (afferent, mic): %.2fs at %dHz. RMS energy %.3f, peak %.3f, " +
|
||||
"zero-crossing rate %.0fHz, spectral centroid %.0fHz, estimated voice pitch F0 %.0fHz. " +
|
||||
"Compact voice/sound signature (%d numbers) — phonetic geometry + hear-to-imitate seed.",
|
||||
seconds, sr, rms, peak, zcr, centroid, f0, vector.count)
|
||||
disclose("FEAT(audio): \(vector.count)-number signature vs \(n) raw samples (~\(n/max(vector.count,1))x compression).")
|
||||
return (content, vector, ["f0_hz": f0, "centroid_hz": centroid, "zcr_hz": zcr,
|
||||
"rms": rms, "seconds": seconds, "raw_samples": n])
|
||||
}
|
||||
func featAudio(_ path: String) {
|
||||
let r = computeAudio(path)
|
||||
var out: [String: Any] = ["ok": true, "op": "feat-audio", "file": path,
|
||||
"vector": r.vector, "content": r.content,
|
||||
"ingest": ["node_type": "Observation", "tier": "Episodic", "content": r.content]]
|
||||
r.extra.forEach { out[$0] = $1 }
|
||||
emit(out)
|
||||
}
|
||||
|
||||
// Image descriptor = compact scene-geometry (dims, brightness, region grid).
|
||||
func computeImage(_ path: String) -> (content: String, vector: [Double], extra: [String: Any]) {
|
||||
guard let src = CGImageSourceCreateWithURL(URL(fileURLWithPath: path) as CFURL, nil),
|
||||
let img = CGImageSourceCreateImageAtIndex(src, 0, nil) else { die("cannot decode image \(path)") }
|
||||
let w = img.width, h = img.height
|
||||
let cs = CGColorSpaceCreateDeviceRGB()
|
||||
let bpr = w * 4
|
||||
var buf = [UInt8](repeating: 0, count: h * bpr)
|
||||
guard let ctx = CGContext(data: &buf, width: w, height: h, bitsPerComponent: 8,
|
||||
bytesPerRow: bpr, space: cs,
|
||||
bitmapInfo: CGImageAlphaInfo.premultipliedLast.rawValue) else {
|
||||
die("cannot rasterize image")
|
||||
}
|
||||
ctx.draw(img, in: CGRect(x: 0, y: 0, width: w, height: h))
|
||||
// 3x3 region average luminance + overall average color.
|
||||
var rAvg = 0.0, gAvg = 0.0, bAvg = 0.0
|
||||
var grid = [Double](repeating: 0, count: 9); var gridN = [Int](repeating: 0, count: 9)
|
||||
let step = max(1, (w*h)/40000) // subsample for speed
|
||||
var count = 0; var idx = 0
|
||||
while idx < w*h {
|
||||
let x = idx % w, y = idx / w
|
||||
let p = y*bpr + x*4
|
||||
let r = Double(buf[p]), g = Double(buf[p+1]), b = Double(buf[p+2])
|
||||
rAvg += r; gAvg += g; bAvg += b; count += 1
|
||||
let cell = (min(2, y*3/h))*3 + min(2, x*3/w)
|
||||
grid[cell] += 0.299*r + 0.587*g + 0.114*b; gridN[cell] += 1
|
||||
idx += step
|
||||
}
|
||||
if count == 0 { die("no pixels sampled") }
|
||||
rAvg /= Double(count); gAvg /= Double(count); bAvg /= Double(count)
|
||||
for i in 0..<9 { grid[i] = gridN[i] > 0 ? grid[i]/Double(gridN[i]) : 0 }
|
||||
let bright = (0.299*rAvg + 0.587*gAvg + 0.114*bAvg)/255.0
|
||||
let vector = [Double(w), Double(h), rAvg/255, gAvg/255, bAvg/255, bright] + grid.map { $0/255 }
|
||||
let content = String(format:
|
||||
"Saw scene (afferent, camera): %dx%d frame. Mean color rgb(%.0f,%.0f,%.0f), " +
|
||||
"brightness %.2f. 3x3 luminance grid [%.0f %.0f %.0f / %.0f %.0f %.0f / %.0f %.0f %.0f]. " +
|
||||
"Compact scene-geometry (%d numbers) vs %d pixel-channels.",
|
||||
w, h, rAvg, gAvg, bAvg, bright,
|
||||
grid[0],grid[1],grid[2],grid[3],grid[4],grid[5],grid[6],grid[7],grid[8],
|
||||
vector.count, w*h*3)
|
||||
disclose("FEAT(image): \(vector.count)-number scene-geometry vs \(w*h*3) pixel-channels (~\(w*h*3/max(vector.count,1))x).")
|
||||
return (content, vector, ["width": w, "height": h, "brightness": bright])
|
||||
}
|
||||
func featImage(_ path: String) {
|
||||
let r = computeImage(path)
|
||||
var out: [String: Any] = ["ok": true, "op": "feat-image", "file": path,
|
||||
"vector": r.vector, "content": r.content,
|
||||
"ingest": ["node_type": "Observation", "tier": "Episodic", "content": r.content]]
|
||||
r.extra.forEach { out[$0] = $1 }
|
||||
emit(out)
|
||||
}
|
||||
|
||||
// The afferent WIRE — hand a capture's descriptor to the ingest organ (engram),
|
||||
// where it becomes an embedded node = GEOMETRY. Own-core URLSession POST.
|
||||
// LOCAL only: point at a local engram; raw stream never leaves the machine.
|
||||
func postNode(engramURL: String, content: String, label: String, tags: [String]) -> String? {
|
||||
guard let url = URL(string: engramURL + "/api/nodes") else { return nil }
|
||||
let body: [String: Any] = ["content": content, "node_type": "Observation",
|
||||
"label": label, "tier": "Episodic",
|
||||
"salience": 0.7, "importance": 0.6, "confidence": 0.9,
|
||||
"tags": tags]
|
||||
var req = URLRequest(url: url); req.httpMethod = "POST"
|
||||
req.setValue("application/json", forHTTPHeaderField: "Content-Type")
|
||||
req.httpBody = try? JSONSerialization.data(withJSONObject: body)
|
||||
let sem = DispatchSemaphore(value: 0); var out: String?
|
||||
URLSession.shared.dataTask(with: req) { data, _, _ in
|
||||
if let d = data { out = String(data: d, encoding: .utf8) }
|
||||
sem.signal()
|
||||
}.resume()
|
||||
_ = sem.wait(timeout: .now() + 15)
|
||||
return out
|
||||
}
|
||||
func ingest(_ path: String, kind: String, engramURL: String) {
|
||||
let r = kind == "audio" ? computeAudio(path) : computeImage(path)
|
||||
let label = kind == "audio" ? "heard:mic" : "saw:camera"
|
||||
disclose("INGEST: handing \(kind) descriptor to the ingest organ at \(engramURL) (LOCAL) -> geometry.")
|
||||
guard let resp = postNode(engramURL: engramURL, content: r.content, label: label,
|
||||
tags: ["peripheral", kind == "audio" ? "afferent-mic" : "afferent-camera"]) else {
|
||||
die("ingest POST failed (no local engram at \(engramURL)?)")
|
||||
}
|
||||
// pull the node id out of the response (own-core, tolerant)
|
||||
var nodeId = ""
|
||||
if let d = resp.data(using: .utf8),
|
||||
let o = try? JSONSerialization.jsonObject(with: d) as? [String: Any] {
|
||||
nodeId = (o["id"] as? String) ?? (o["node_id"] as? String) ?? ""
|
||||
}
|
||||
disclose("INGEST: landed as node \(nodeId.isEmpty ? "(see response)" : nodeId) — the capture is now geometry in the engram.")
|
||||
emit(["ok": !nodeId.isEmpty, "op": "ingest-\(kind)", "file": path,
|
||||
"node_id": nodeId, "engram_response": resp, "content": r.content,
|
||||
"vector": r.vector])
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// VOICE BY IMITATION — hear a voice, grab its compact SIGNATURE (pitch +
|
||||
// formants F1-F5 via LPC), and speak back in that voice by source-filter
|
||||
// resynthesis. Own-core DSP (physics), no training, no stolen voice. The
|
||||
// afferent twin of the music instrument-signature: a voice = a few dozen
|
||||
// numbers, not a corpus.
|
||||
// ============================================================================
|
||||
|
||||
func hamming(_ x: [Double]) -> [Double] {
|
||||
let n = x.count; if n < 2 { return x }
|
||||
return (0..<n).map { x[$0] * (0.54 - 0.46*cos(2*Double.pi*Double($0)/Double(n-1))) }
|
||||
}
|
||||
func autocorr(_ x: [Double], _ p: Int) -> [Double] {
|
||||
var r = [Double](repeating: 0, count: p+1)
|
||||
for lag in 0...p { var s = 0.0; var i = lag; while i < x.count { s += x[i]*x[i-lag]; i += 1 }; r[lag] = s }
|
||||
return r
|
||||
}
|
||||
// Levinson-Durbin -> LPC coeffs a[0..p] (A(z)=1+sum a[k]z^-k) and residual energy.
|
||||
func levinson(_ r: [Double], _ p: Int) -> (a: [Double], err: Double) {
|
||||
var a = [Double](repeating: 0, count: p+1); a[0] = 1
|
||||
var err = r[0]
|
||||
if err <= 0 { return (a, 0) }
|
||||
for i in 1...p {
|
||||
var acc = r[i]
|
||||
if i > 1 { for j in 1..<i { acc += a[j]*r[i-j] } }
|
||||
let k = -acc/err
|
||||
var na = a; na[i] = k
|
||||
if i > 1 { for j in 1..<i { na[j] = a[j] + k*a[i-j] } }
|
||||
a = na; err *= (1 - k*k)
|
||||
if err <= 0 { break }
|
||||
}
|
||||
return (a, err)
|
||||
}
|
||||
// Formant peaks from the LPC all-pole spectral envelope.
|
||||
func formants(_ a: [Double], sr: Int) -> [(f: Double, bw: Double)] {
|
||||
let p = a.count - 1
|
||||
let steps = 512
|
||||
var mag = [Double](repeating: 0, count: steps)
|
||||
for s in 0..<steps {
|
||||
let w = Double.pi * Double(s) / Double(steps) // 0..pi -> 0..sr/2
|
||||
var re = 0.0, im = 0.0
|
||||
for k in 0...p { re += a[k]*cos(w*Double(k)); im -= a[k]*sin(w*Double(k)) }
|
||||
mag[s] = 1.0 / max((re*re+im*im).squareRoot(), 1e-9)
|
||||
}
|
||||
var peaks: [(f: Double, bw: Double)] = []
|
||||
for s in 1..<(steps-1) where mag[s] > mag[s-1] && mag[s] >= mag[s+1] {
|
||||
let f = Double(s) * Double(sr) / 2 / Double(steps)
|
||||
if f > 150 && f < 5200 {
|
||||
// crude bandwidth: width where magnitude falls to peak/sqrt(2)
|
||||
let thr = mag[s]/1.4142
|
||||
var lo = s; while lo > 0 && mag[lo] > thr { lo -= 1 }
|
||||
var hi = s; while hi < steps-1 && mag[hi] > thr { hi += 1 }
|
||||
let bw = Double(hi-lo) * Double(sr) / 2 / Double(steps)
|
||||
peaks.append((f, bw))
|
||||
}
|
||||
}
|
||||
return Array(peaks.prefix(5))
|
||||
}
|
||||
func pitchOf(_ frame: [Double], sr: Int) -> Double {
|
||||
let n = frame.count
|
||||
let lagMin = sr/400, lagMax = min(sr/70, n-1)
|
||||
if lagMax <= lagMin { return 0 }
|
||||
var r0 = 0.0; for v in frame { r0 += v*v }
|
||||
if r0 < 1e-5 { return 0 }
|
||||
var bestLag = 0; var best = 0.0
|
||||
for lag in lagMin...lagMax { var c = 0.0; var i = lag; while i < n { c += frame[i]*frame[i-lag]; i += 1 }; if c > best { best = c; bestLag = lag } }
|
||||
return (best / r0 > 0.30 && bestLag > 0) ? Double(sr)/Double(bestLag) : 0 // voiced?
|
||||
}
|
||||
|
||||
let LPC_ORDER = 16
|
||||
let FRAME = 400 // 25ms @16k
|
||||
let HOP = 160 // 10ms
|
||||
|
||||
// Extract Will's voice-signature: averaged F0 + formants over voiced frames.
|
||||
func voiceprint(_ path: String) -> (f0: Double, f0lo: Double, f0hi: Double, formants: [(Double,Double)], content: String) {
|
||||
guard let (x, sr, _) = readWavSamples(path), x.count > FRAME else { die("cannot read speech from \(path)") }
|
||||
var f0s: [Double] = []
|
||||
var fbank: [[Double]] = [[],[],[],[],[]]
|
||||
var bbank: [[Double]] = [[],[],[],[],[]]
|
||||
var pos = 0
|
||||
while pos + FRAME <= x.count {
|
||||
let raw = Array(x[pos..<pos+FRAME])
|
||||
let f0 = pitchOf(raw, sr: sr)
|
||||
if f0 > 0 { // voiced frame only
|
||||
f0s.append(f0)
|
||||
let r = autocorr(hamming(raw), LPC_ORDER)
|
||||
if r[0] > 1e-6 {
|
||||
let (a, _) = levinson(r, LPC_ORDER)
|
||||
let fs = formants(a, sr: sr)
|
||||
for (i, fm) in fs.enumerated() where i < 5 { fbank[i].append(fm.f); bbank[i].append(fm.bw) }
|
||||
}
|
||||
}
|
||||
pos += HOP
|
||||
}
|
||||
func med(_ v: [Double]) -> Double { v.isEmpty ? 0 : v.sorted()[v.count/2] }
|
||||
let f0med = med(f0s)
|
||||
let f0lo = f0s.isEmpty ? 0 : f0s.sorted().first!
|
||||
let f0hi = f0s.isEmpty ? 0 : f0s.sorted().last!
|
||||
var forms: [(Double,Double)] = []
|
||||
for i in 0..<5 where !fbank[i].isEmpty { forms.append((med(fbank[i]), med(bbank[i]))) }
|
||||
let fstr = forms.map { String(format:"%.0f", $0.0) }.joined(separator: "/")
|
||||
let content = String(format:
|
||||
"Voice-signature (afferent, heard a voice): pitch F0 %.0fHz (range %.0f-%.0fHz), " +
|
||||
"formants F1-F5 = %@ Hz. Compact voiceprint (%d numbers) — grabbed by ear for imitation, not trained.",
|
||||
f0med, f0lo, f0hi, fstr, 1 + forms.count*2)
|
||||
return (f0med, f0lo, f0hi, forms, content)
|
||||
}
|
||||
|
||||
// IMITATE: LPC analysis-resynthesis. Reconstruct the heard voice from its
|
||||
// per-frame filter model + pitch — the voice rebuilt from its signature.
|
||||
func imitate(inPath: String, outPath: String) {
|
||||
guard let (x, sr, _) = readWavSamples(inPath), x.count > FRAME else { die("cannot read speech from \(inPath)") }
|
||||
var out = [Double](repeating: 0, count: x.count)
|
||||
var state = [Double](repeating: 0, count: LPC_ORDER) // past outputs
|
||||
var phase = 0.0
|
||||
var lastF0 = 0.0
|
||||
var pos = 0
|
||||
while pos + FRAME <= x.count {
|
||||
let raw = Array(x[pos..<pos+FRAME])
|
||||
let r = autocorr(hamming(raw), LPC_ORDER)
|
||||
let f0 = pitchOf(raw, sr: sr)
|
||||
if r[0] < 1e-7 { pos += HOP; continue }
|
||||
let (a, err) = levinson(r, LPC_ORDER)
|
||||
let gain = max(err, 0).squareRoot()
|
||||
let useF0 = f0 > 0 ? f0 : (lastF0 > 0 ? lastF0 : 0)
|
||||
lastF0 = f0
|
||||
for i in 0..<HOP {
|
||||
let idx = pos + i; if idx >= x.count { break }
|
||||
var e = 0.0
|
||||
if useF0 > 0 { // voiced: glottal impulse train
|
||||
phase += useF0/Double(sr)
|
||||
if phase >= 1.0 { phase -= 1.0; e = sqrt(Double(sr)/useF0) } // energy-normalized impulse
|
||||
} else { // unvoiced: noise
|
||||
e = Double.random(in: -1...1)
|
||||
}
|
||||
var y = gain * e
|
||||
for k in 1...LPC_ORDER { y -= a[k]*state[k-1] }
|
||||
for k in stride(from: LPC_ORDER-1, through: 1, by: -1) { state[k] = state[k-1] }
|
||||
state[0] = y
|
||||
out[idx] = y
|
||||
}
|
||||
pos += HOP
|
||||
}
|
||||
// normalize to peak 0.9
|
||||
let peak = out.map { abs($0) }.max() ?? 1
|
||||
let scale = peak > 1e-9 ? 0.9/peak : 1
|
||||
let samples = out.map { Int16(max(-32767, min(32767, $0*scale*32767))) }
|
||||
writeWav(URL(fileURLWithPath: outPath), samples: samples, sampleRate: sr)
|
||||
let vp = voiceprint(inPath)
|
||||
disclose(String(format: "IMITATE: rebuilt the voice from its signature (F0 %.0fHz, formants %@) -> %@",
|
||||
vp.f0, vp.formants.map{String(format:"%.0f",$0.0)}.joined(separator:"/"), outPath))
|
||||
emit(["ok": true, "op": "imitate", "in": inPath, "out": outPath,
|
||||
"f0_hz": vp.f0, "f0_range": [vp.f0lo, vp.f0hi],
|
||||
"formants_hz": vp.formants.map { $0.0 },
|
||||
"method": "LPC analysis-resynthesis (own-core, no training, no stolen voice)"])
|
||||
}
|
||||
|
||||
// ============================================================================
|
||||
// CONVERSE (full-duplex) — the interruptible conversational loop.
|
||||
// The utterance is a persistent, ordered meaning-plan of SEGMENTS, each with
|
||||
// a salience. The speaker plays them; the mic listens concurrently. On user
|
||||
// speech: pause INSTANTLY, classify (backchannel vs barge-in), then DECIDE
|
||||
// yield-or-hold from the salience of the current segment + the social read.
|
||||
// Yielded utterances persist their remaining plan so Neuron can RESUME.
|
||||
// ============================================================================
|
||||
struct Segment { let file: String; let salience: Double; let text: String }
|
||||
|
||||
enum Decision { case backchannelContinue, hold, yield }
|
||||
|
||||
// The yield-or-hold DECISION — grounded, contextual. Not a fixed rule.
|
||||
func decide(currentSalience: Double, progress: Double,
|
||||
interrupterAuthority: Double, isBackchannel: Bool) -> Decision {
|
||||
if isBackchannel { return .backchannelContinue } // "mm-hm" => keep going
|
||||
// Holding the floor is justified when what I'm saying matters AND I'm nearly
|
||||
// done (cheap to finish) AND the interrupter isn't high-priority.
|
||||
let holdScore = currentSalience * 0.6 + progress * 0.4
|
||||
if holdScore >= 0.6 && interrupterAuthority < 0.8 { return .hold }
|
||||
return .yield // default: be polite, let them in
|
||||
}
|
||||
|
||||
final class Conversation {
|
||||
let engine = AVAudioEngine()
|
||||
let player = AVAudioPlayerNode()
|
||||
var micLive = false
|
||||
// VAD state (shared with the audio tap thread)
|
||||
let lock = NSLock()
|
||||
var micRMS: Float = 0
|
||||
var speechFrames = 0 // consecutive above-threshold frames
|
||||
var onsetHandled = false
|
||||
|
||||
let resumePath: String
|
||||
init(resumePath: String) { self.resumePath = resumePath }
|
||||
|
||||
// Try to bring the mic up as a live VAD. Returns false if unavailable/denied.
|
||||
func startMic() -> Bool {
|
||||
let status = AVCaptureDevice.authorizationStatus(for: .audio)
|
||||
if Consent.load()["mic"] != true || status != .authorized {
|
||||
disclose("CONVERSE: live mic not available (consent/OS) — using injected barge events for the proof.")
|
||||
return false
|
||||
}
|
||||
let input = engine.inputNode
|
||||
// Acoustic echo cancellation: the OS voice-processing unit subtracts our
|
||||
// own speaker output from the mic so Neuron does NOT hear itself and
|
||||
// barge in on its own voice. This is what makes real-room barge-in work.
|
||||
do { try input.setVoiceProcessingEnabled(true); disclose("CONVERSE: AEC on (echo-cancelled mic — won't self-interrupt).") }
|
||||
catch { disclose("CONVERSE: AEC unavailable (\(error)); raising VAD floor instead.") }
|
||||
let fmt = input.inputFormat(forBus: 0)
|
||||
if fmt.sampleRate == 0 { return false }
|
||||
input.installTap(onBus: 0, bufferSize: 1024, format: fmt) { [weak self] buf, _ in
|
||||
guard let self = self, let ch = buf.floatChannelData?[0] else { return }
|
||||
let n = Int(buf.frameLength)
|
||||
var sum: Float = 0
|
||||
for i in 0..<n { let v = ch[i]; sum += v*v }
|
||||
let rms = n > 0 ? (sum / Float(n)).squareRoot() : 0
|
||||
self.lock.lock(); self.micRMS = rms; self.lock.unlock()
|
||||
}
|
||||
micLive = true
|
||||
disclose("CONVERSE: full-duplex — mic listening WHILE speaking (barge-in armed).")
|
||||
return true
|
||||
}
|
||||
|
||||
func run(_ segs: [Segment], interrupterAuthority: Double,
|
||||
injectBargeAt: Double?, injectKind: String, startIndex: Int, liveMic: Bool) {
|
||||
engine.attach(player)
|
||||
let firstFmt = (try? AVAudioFile(forReading: URL(fileURLWithPath: segs[startIndex].file)))?.processingFormat
|
||||
?? AVAudioFormat(standardFormatWithSampleRate: 16000, channels: 1)!
|
||||
engine.connect(player, to: engine.mainMixerNode, format: firstFmt)
|
||||
if liveMic { _ = startMic() }
|
||||
else { disclose("CONVERSE: deterministic mode (live mic off) — barge events \(injectBargeAt != nil ? "injected" : "none").") }
|
||||
do { try engine.start() } catch { die("audio engine failed to start: \(error)") }
|
||||
player.play()
|
||||
|
||||
let injectDeadline = injectBargeAt.map { Date().addingTimeInterval($0) }
|
||||
var injectedFired = false
|
||||
var idx = startIndex
|
||||
|
||||
segmentLoop: while idx < segs.count {
|
||||
let seg = segs[idx]
|
||||
guard let f = try? AVAudioFile(forReading: URL(fileURLWithPath: seg.file)) else {
|
||||
disclose("CONVERSE: missing segment '\(seg.file)', skipping."); idx += 1; continue
|
||||
}
|
||||
let dur = Double(f.length) / f.processingFormat.sampleRate
|
||||
disclose(String(format: "CONVERSE: speaking segment %d/%d (salience %.2f) — \"%@\"",
|
||||
idx+1, segs.count, seg.salience, seg.text))
|
||||
emit(["op": "converse", "event": "speaking", "segment": idx,
|
||||
"salience": seg.salience, "text": seg.text])
|
||||
|
||||
let done = DispatchSemaphore(value: 0)
|
||||
// .dataPlayedBack: completion fires only after the audio has actually
|
||||
// played OUT the DAC (not merely been consumed) — so the tail is never
|
||||
// clipped and playback always runs the FULL file length.
|
||||
player.scheduleFile(f, at: nil, completionCallbackType: .dataPlayedBack) { _ in done.signal() }
|
||||
player.play()
|
||||
|
||||
// Monitor this segment: poll VAD / injected event until it finishes.
|
||||
let segStart = Date()
|
||||
while done.wait(timeout: .now() + 0.02) == .timedOut {
|
||||
let elapsed = Date().timeIntervalSince(segStart)
|
||||
let progress = min(elapsed / max(dur, 0.001), 1.0)
|
||||
|
||||
// --- detect an onset (live mic OR injected) ---
|
||||
var onset = false
|
||||
if micLive {
|
||||
lock.lock(); let rms = micRMS; lock.unlock()
|
||||
if rms > 0.02 { speechFrames += 1 } else { speechFrames = 0 }
|
||||
if speechFrames >= 3 && !onsetHandled { onset = true } // ~60ms of voice
|
||||
}
|
||||
if let dl = injectDeadline, !injectedFired, Date() >= dl, !onsetHandled { onset = true; injectedFired = true }
|
||||
|
||||
if onset {
|
||||
onsetHandled = true
|
||||
// (1) BARGE-IN: pause INSTANTLY, on the spot.
|
||||
player.pause()
|
||||
let tBarge = Date().timeIntervalSince(segStart)
|
||||
disclose(String(format: "CONVERSE: << user speech at %.2fs into segment %d — PAUSED instantly >>", tBarge, idx+1))
|
||||
emit(["op": "converse", "event": "barge_in", "segment": idx,
|
||||
"at_seconds": tBarge, "progress": progress])
|
||||
|
||||
// (2) classify backchannel vs real barge-in
|
||||
let isBackchannel = classifyBackchannel(injected: injectDeadline != nil,
|
||||
kind: injectKind)
|
||||
let d = decide(currentSalience: seg.salience, progress: progress,
|
||||
interrupterAuthority: interrupterAuthority,
|
||||
isBackchannel: isBackchannel)
|
||||
switch d {
|
||||
case .backchannelContinue:
|
||||
disclose("CONVERSE: read as BACKCHANNEL (\"mm-hm\") — keep going, resume seamlessly.")
|
||||
emit(["op": "converse", "event": "backchannel_continue", "segment": idx])
|
||||
onsetHandled = false; speechFrames = 0
|
||||
player.play() // seamless resume
|
||||
case .hold:
|
||||
disclose("CONVERSE: HOLD the floor — \"hang on, let me finish this thought.\" (high salience, nearly done)")
|
||||
emit(["op": "converse", "event": "hold_floor", "segment": idx,
|
||||
"salience": seg.salience, "progress": progress])
|
||||
onsetHandled = false; speechFrames = 0
|
||||
player.play() // finish the segment, THEN yield
|
||||
// after this segment completes we yield the remainder
|
||||
_ = done.wait(timeout: .now() + dur + 1.0)
|
||||
persistResume(segs: segs, from: idx + 1, reason: "held-then-yield")
|
||||
finish(); return
|
||||
case .yield:
|
||||
disclose("CONVERSE: YIELD — stop, let them in. Remembering where I was (resumable).")
|
||||
player.stop()
|
||||
persistResume(segs: segs, from: idx, reason: "yield")
|
||||
emit(["op": "converse", "event": "yield", "interrupted_segment": idx,
|
||||
"resume_from": idx])
|
||||
finish(); return
|
||||
}
|
||||
}
|
||||
}
|
||||
emit(["op": "converse", "event": "segment_done", "segment": idx])
|
||||
idx += 1
|
||||
}
|
||||
// whole utterance completed uninterrupted
|
||||
clearResume()
|
||||
disclose("CONVERSE: utterance complete (uninterrupted).")
|
||||
emit(["ok": true, "op": "converse", "event": "complete", "segments": segs.count])
|
||||
finish()
|
||||
}
|
||||
|
||||
// A backchannel is brief/low. Injected kind lets us prove both paths headlessly;
|
||||
// the live path would measure post-onset duration & energy.
|
||||
func classifyBackchannel(injected: Bool, kind: String) -> Bool {
|
||||
if injected { return kind == "backchannel" }
|
||||
// live: sample ~250ms after onset; if speech already died away, it was a backchannel
|
||||
Thread.sleep(forTimeInterval: 0.25)
|
||||
lock.lock(); let rms = micRMS; lock.unlock()
|
||||
return rms < 0.015
|
||||
}
|
||||
|
||||
func persistResume(segs: [Segment], from: Int, reason: String) {
|
||||
let remaining = segs[from...].map { ["file": $0.file, "salience": $0.salience, "text": $0.text] as [String: Any] }
|
||||
let state: [String: Any] = ["resume_from": from, "reason": reason,
|
||||
"remaining": remaining, "ts": Date().timeIntervalSince1970]
|
||||
if let d = try? JSONSerialization.data(withJSONObject: state, options: [.prettyPrinted]) {
|
||||
try? d.write(to: URL(fileURLWithPath: resumePath))
|
||||
}
|
||||
disclose("CONVERSE: meaning-plan persisted (\(remaining.count) segments remain) — Neuron can resume the thread.")
|
||||
}
|
||||
func clearResume() { try? FileManager.default.removeItem(atPath: resumePath) }
|
||||
func finish() { player.stop(); if micLive { engine.inputNode.removeTap(onBus: 0) }; engine.stop() }
|
||||
}
|
||||
|
||||
// ----------------------------------------------------------------------------
|
||||
// CLI
|
||||
// ----------------------------------------------------------------------------
|
||||
func loadManifest(_ path: String) -> (segs: [Segment], utterance: String) {
|
||||
guard let d = FileManager.default.contents(atPath: path),
|
||||
let o = try? JSONSerialization.jsonObject(with: d) as? [String: Any],
|
||||
let arr = o["segments"] as? [[String: Any]] else { die("bad manifest: \(path)") }
|
||||
let segs = arr.map { Segment(file: $0["file"] as? String ?? "",
|
||||
salience: ($0["salience"] as? NSNumber)?.doubleValue ?? 0.5,
|
||||
text: $0["text"] as? String ?? "") }
|
||||
return (segs, o["utterance"] as? String ?? "")
|
||||
}
|
||||
|
||||
let args = CommandLine.arguments
|
||||
guard args.count >= 2 else {
|
||||
print("""
|
||||
periph — Neuron peripheral I/O (own-core, local, consent-gated)
|
||||
grant <camera|mic> grant a sensitive sense (Neuron-level consent)
|
||||
revoke <camera|mic> revoke it
|
||||
status show consent state
|
||||
speak <file.wav> SPEAK ALOUD (efferent) via the speaker
|
||||
tone <out.wav> [hz] [sec] own-core synth a test WAV (no deps)
|
||||
listen <sec> <out.wav> MIC capture (afferent) 16k mono
|
||||
see <out.jpg> CAMERA one frame (afferent)
|
||||
feat-audio <file.wav> extract compact voice/sound signature (for ingest)
|
||||
feat-image <file.jpg> extract compact scene-geometry (for ingest)
|
||||
ingest-audio <file.wav> <engramURL> capture -> descriptor -> engram node (geometry)
|
||||
ingest-image <file.jpg> <engramURL> capture -> descriptor -> engram node (geometry)
|
||||
voiceprint <voice.wav> extract voice-signature (F0 + formants F1-F5)
|
||||
imitate <voice.wav> <out.wav> speak back in that voice (LPC analysis-resynthesis)
|
||||
hear-imitate <sec> <out.wav> MIC -> extract signature -> imitate -> SPEAK ALOUD
|
||||
wav-info <file.wav> print WAV geometry
|
||||
converse <manifest.json> [--authority F] [--barge-at S[:backchannel|:bargein]] [--resume]
|
||||
full-duplex interruptible utterance
|
||||
""")
|
||||
exit(0)
|
||||
}
|
||||
|
||||
switch args[1] {
|
||||
case "grant":
|
||||
guard args.count >= 3 else { die("grant needs a device") }
|
||||
var g = Consent.load(); g[args[2]] = true; Consent.save(g)
|
||||
disclose("granted '\(args[2])' — the user consents; raw stream stays local, never egresses.")
|
||||
emit(["ok": true, "op": "grant", "device": args[2], "consent": g])
|
||||
case "revoke":
|
||||
guard args.count >= 3 else { die("revoke needs a device") }
|
||||
var g = Consent.load(); g[args[2]] = false; Consent.save(g)
|
||||
emit(["ok": true, "op": "revoke", "device": args[2], "consent": g])
|
||||
case "status":
|
||||
emit(["ok": true, "op": "status", "consent": Consent.load()])
|
||||
case "speak":
|
||||
guard args.count >= 3 else { die("speak needs a wav") }
|
||||
speak(args[2])
|
||||
case "tone":
|
||||
guard args.count >= 3 else { die("tone needs an out path") }
|
||||
let hz = args.count >= 4 ? Double(args[3]) ?? 220 : 220
|
||||
let sec = args.count >= 5 ? Double(args[4]) ?? 1.0 : 1.0
|
||||
let sr = 16000
|
||||
var s = [Int16](); s.reserveCapacity(Int(Double(sr)*sec))
|
||||
for i in 0..<Int(Double(sr)*sec) {
|
||||
let t = Double(i)/Double(sr)
|
||||
let env = min(1.0, min(t*20, (sec - t)*20)) // gentle attack/release
|
||||
s.append(Int16(env * 0.3 * 32767 * sin(2*Double.pi*hz*t)))
|
||||
}
|
||||
writeWav(URL(fileURLWithPath: args[2]), samples: s, sampleRate: sr)
|
||||
disclose("tone: wrote own-core \(sec)s @ \(hz)Hz WAV to \(args[2]).")
|
||||
emit(["ok": true, "op": "tone", "file": args[2], "hz": hz, "seconds": sec])
|
||||
case "listen":
|
||||
guard args.count >= 4 else { die("listen needs <sec> <out.wav>") }
|
||||
listen(seconds: Double(args[2]) ?? 3.0, out: args[3])
|
||||
case "see":
|
||||
guard args.count >= 3 else { die("see needs an out path") }
|
||||
see(out: args[2])
|
||||
case "feat-audio":
|
||||
guard args.count >= 3 else { die("feat-audio needs a wav") }
|
||||
featAudio(args[2])
|
||||
case "feat-image":
|
||||
guard args.count >= 3 else { die("feat-image needs an image") }
|
||||
featImage(args[2])
|
||||
case "ingest-audio":
|
||||
guard args.count >= 4 else { die("ingest-audio needs <wav> <engramURL>") }
|
||||
ingest(args[2], kind: "audio", engramURL: args[3])
|
||||
case "ingest-image":
|
||||
guard args.count >= 4 else { die("ingest-image needs <image> <engramURL>") }
|
||||
ingest(args[2], kind: "image", engramURL: args[3])
|
||||
case "voiceprint":
|
||||
guard args.count >= 3 else { die("voiceprint needs a wav") }
|
||||
let vp = voiceprint(args[2])
|
||||
disclose("VOICEPRINT: \(vp.content)")
|
||||
emit(["ok": true, "op": "voiceprint", "file": args[2], "f0_hz": vp.f0,
|
||||
"f0_range": [vp.f0lo, vp.f0hi], "formants_hz": vp.formants.map { $0.0 },
|
||||
"bandwidths_hz": vp.formants.map { $0.1 }, "content": vp.content,
|
||||
"ingest": ["node_type": "Observation", "tier": "Episodic", "content": vp.content]])
|
||||
case "imitate":
|
||||
guard args.count >= 4 else { die("imitate needs <voice.wav> <out.wav>") }
|
||||
imitate(inPath: args[2], outPath: args[3])
|
||||
case "hear-imitate":
|
||||
guard args.count >= 4 else { die("hear-imitate needs <sec> <out.wav>") }
|
||||
let secs = Double(args[2]) ?? 4.0
|
||||
let outp = args[3]
|
||||
let capp = outp.replacingOccurrences(of: ".wav", with: "") + ".heard.wav"
|
||||
disclose("HEAR-IMITATE: open the ear, listen \(secs)s, grab the voice, speak it back.")
|
||||
listen(seconds: secs, out: capp) // afferent: hear the voice
|
||||
imitate(inPath: capp, outPath: outp) // extract signature + resynthesize
|
||||
speak(outp) // efferent: speak back ALOUD in that voice
|
||||
case "wav-info":
|
||||
guard args.count >= 3, let i = wavInfo(args[2]) else { die("wav-info needs a readable wav") }
|
||||
disclose("WAV \(args[2]): \(i.sampleRate)Hz \(i.channels)ch \(i.bits)bit \(i.frames) frames")
|
||||
emit(["ok": true, "op": "wav-info", "sample_rate": i.sampleRate, "channels": i.channels,
|
||||
"bits": i.bits, "frames": i.frames,
|
||||
"seconds": Double(i.frames)/Double(max(i.sampleRate,1))])
|
||||
case "converse":
|
||||
guard args.count >= 3 else { die("converse needs a manifest") }
|
||||
let (segs, utter) = loadManifest(args[2])
|
||||
var authority = 0.5
|
||||
var bargeAt: Double? = nil
|
||||
var bargeKind = "bargein"
|
||||
var resume = false
|
||||
var liveMic = false
|
||||
var i = 3
|
||||
while i < args.count {
|
||||
switch args[i] {
|
||||
case "--authority": if i+1 < args.count { authority = Double(args[i+1]) ?? 0.5; i += 1 }
|
||||
case "--barge-at":
|
||||
if i+1 < args.count {
|
||||
let parts = args[i+1].split(separator: ":")
|
||||
bargeAt = Double(parts[0]) ?? nil
|
||||
if parts.count > 1 { bargeKind = String(parts[1]) }
|
||||
i += 1
|
||||
}
|
||||
case "--resume": resume = true
|
||||
case "--live-mic": liveMic = true
|
||||
default: break
|
||||
}
|
||||
i += 1
|
||||
}
|
||||
let resumePath = (ProcessInfo.processInfo.environment["PERIPH_HOME"]
|
||||
?? FileManager.default.currentDirectoryPath + "/peripheral") + "/.resume.json"
|
||||
var startIndex = 0
|
||||
var runSegs = segs
|
||||
if resume, let d = FileManager.default.contents(atPath: resumePath),
|
||||
let o = try? JSONSerialization.jsonObject(with: d) as? [String: Any],
|
||||
let rem = o["remaining"] as? [[String: Any]] {
|
||||
runSegs = rem.map { Segment(file: $0["file"] as? String ?? "",
|
||||
salience: ($0["salience"] as? NSNumber)?.doubleValue ?? 0.5,
|
||||
text: $0["text"] as? String ?? "") }
|
||||
startIndex = 0
|
||||
disclose("CONVERSE: resuming — \"as I was saying...\" (\(runSegs.count) segments left).")
|
||||
emit(["op": "converse", "event": "resume", "remaining": runSegs.count])
|
||||
}
|
||||
if runSegs.isEmpty { die("no segments to speak") }
|
||||
disclose("CONVERSE: utterance = \"\(utter)\" (\(runSegs.count) segments).")
|
||||
let convo = Conversation(resumePath: resumePath)
|
||||
convo.run(runSegs, interrupterAuthority: authority,
|
||||
injectBargeAt: bargeAt, injectKind: bargeKind, startIndex: startIndex, liveMic: liveMic)
|
||||
default:
|
||||
die("unknown command: \(args[1])")
|
||||
}
|
||||
Reference in New Issue
Block a user