Grant Gilliam
85bfdf2b56
New 'Recap' phase — turns speakers.json into a human-readable recap, leveraging recap-relay's proven logic/prompts but calling the Spark gateway's OpenAI-compatible /v1/chat/completions directly (same host/TLS as label-merge; Qwen3-35B). We start from already-named speakers (label-merge), so recap-relay's speaker clustering + name-inference are skipped entirely. - GatewayLLMClient: /v1/chat/completions (JSON mode), model discovery via /api/endpoints, TLS-skip reuse, 503 retry, sequential. - RecapAnalyzer: speakers.json → numbered [N] (MM:SS) Name: text transcript → time-windowed analyze (single window for short calls, 18min/2min overlap for long) → stitch/dedup topic sections → meeting extras (TLDR/decisions/action_items/ open_questions/key_quotes). Defensive JSON parsing of LLM output. - RecapRenderer: writes transcript.md + a self-contained dark-theme recap.html (topic sections w/ collapsible transcripts, extras panels, speaker color chips, full timestamped speaker-attributed transcript, print styles). - SessionController.buildRecap: best-effort after speakers.json (gated by settings.recapEnabled); surfaces recapURL → menu 'Open recap'. Skips silently if the gateway has no LLM. Settings toggle added. Validated END-TO-END on the real Meet session against the live gateway: dual-channel transcription → 3 topic sections + accurate TLDR + key quotes; 'Go Bitcoin' correctly attributed to the remote speaker. 46/46 XCTest (10 new).
527 lines
24 KiB
Swift
527 lines
24 KiB
Swift
import Foundation
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import Combine
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import AppKit
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import CoreGraphics
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struct SessionInfo: Equatable {
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let folder: URL
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let mixedURL: URL
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let duration: Double
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let selfSpanCount: Int
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/// Count of vision-detected speaker segments if visual capture attached, or nil
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/// if the session was audio-only (no adapter / no window / capture failed). Lets
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/// the user see at a glance whether the visual pipeline ran on a real call.
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let visualSegmentCount: Int?
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}
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/// Owns a single recording session: creates the session folder, drives
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/// `AudioRecorder` start/stop, tracks elapsed time, and writes the Phase-1
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/// preview of mic-VAD self spans. Detection/visual/backend wiring come later.
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///
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/// The lifecycle is serialized through an explicit state machine so start and
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/// stop can never interleave (`.starting` → `.recording` → `.finishing`).
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@MainActor
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final class SessionController: ObservableObject {
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enum State: Equatable {
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case idle
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case starting
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case recording
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case finishing
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case error(String)
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}
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/// Backend transcription status for the most recent session.
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enum TranscriptStatus: Equatable {
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case idle
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case processing(Int, Int) // chunk done, total
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case done(speakers: Int, segments: Int)
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case failed(String)
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}
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/// Set in init so `AppDelegate.applicationShouldTerminate` can finalize a
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/// recording in progress before the app quits.
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static weak var shared: SessionController?
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@Published private(set) var state: State = .idle
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@Published private(set) var elapsed: TimeInterval = 0
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@Published private(set) var lastSession: SessionInfo?
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/// Live input peak levels (0…1) while recording, for the UI meters.
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@Published private(set) var micLevel: Float = 0
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@Published private(set) var systemLevel: Float = 0
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/// Surfaced after a session if system audio stopped early.
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@Published private(set) var warning: String?
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/// Mirrored from `CallDetector` for the UI.
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@Published private(set) var detectionStatus: CallDetector.Status = .disabled
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/// Backend transcription status for the last session.
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@Published private(set) var transcriptStatus: TranscriptStatus = .idle
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/// Set when a readable recap (`recap.html`) has been written for the last session.
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@Published private(set) var recapURL: URL?
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private let settings: AppSettings
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private var voiceprints: VoiceprintStore
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private let detector = CallDetector()
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private var cancellables = Set<AnyCancellable>()
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private var currentLabel = "manual"
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/// Inputs needed to (re)process the last finished session through the backend.
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private struct ProcessInputs {
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let folder: URL
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let sessionId: String
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let app: String
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let micURL: URL
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let systemURL: URL
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let mixedURL: URL
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let timeline: [VisualTimeline.Segment] // remote visual names; self handled via the mic channel
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let selfSpans: [VADSpan]
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let selfName: String
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let systemHealthy: Bool
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}
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private var lastProcess: ProcessInputs?
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private var processTask: Task<Void, Never>?
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private var recorder: AudioRecorder?
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/// Visual capture for the current session (nil for manual recordings, apps with
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/// no adapter, or when the window can't be captured — those record audio-only).
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private var visualCapture: VisualCapture?
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/// A visual capture whose `start()` is in flight (registered before the await),
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/// so `prepareForTermination` can tear it down if its start-Task is orphaned.
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private var inFlightVisual: VisualCapture?
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/// App + capture target to start visual capture for, set at `start()`. `windowID`
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/// pins the exact detected window (e.g. the Meet browser window); nil → largest.
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private var pendingCapture: (app: CallDetector.DetectedApp, bundleID: String, windowID: CGWindowID?)?
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private var currentFolder: URL?
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private var startTime: Date?
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private var timer: Timer?
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/// True when the current session was started by call detection (not the user).
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private var autoStarted = false
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/// Set if a detected call ends while we're still in `.starting`.
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private var pendingAutoStop = false
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/// The in-flight start or stop Task, so `prepareForTermination` can await it.
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private var lifecycleTask: Task<Void, Never>?
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/// Bumped each time a start/stop Task is spawned (Task is a value type, so this
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/// is how `prepareForTermination` detects a newly-spawned transition).
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private var lifecycleGeneration = 0
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init(settings: AppSettings) {
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self.settings = settings
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self.voiceprints = VoiceprintStore(
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fileURL: settings.outputFolderURL.appendingPathComponent("voiceprints.json"))
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SessionController.shared = self
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detector.onCallStart = { [weak self] call in self?.handleCallStart(call) }
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detector.onCallEnd = { [weak self] in self?.handleCallEnd() }
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detector.$status
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.sink { [weak self] status in self?.detectionStatus = status }
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.store(in: &cancellables)
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// Re-point the voiceprint DB if the output folder changes. The in-flight
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// pipeline keeps its own captured reference, so this can't disrupt a run.
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settings.$outputFolderPath
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.dropFirst()
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.sink { [weak self] path in
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guard let self else { return }
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let dir = URL(fileURLWithPath: (path as NSString).expandingTildeInPath, isDirectory: true)
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self.voiceprints = VoiceprintStore(fileURL: dir.appendingPathComponent("voiceprints.json"))
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}
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.store(in: &cancellables)
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settings.$autoRecordOnDetection
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.sink { [weak self] on in
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guard let self else { return }
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if on {
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self.detector.enable()
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} else {
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self.detector.disable()
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// Don't leave an auto-started session running with no detector —
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// handle both .recording and the in-flight .starting case.
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if self.autoStarted {
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switch self.state {
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case .recording: self.stop()
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case .starting: self.pendingAutoStop = true
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default: break
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}
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}
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}
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}
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.store(in: &cancellables)
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}
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// MARK: - Auto-detection
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private func handleCallStart(_ call: CallDetector.DetectedCall) {
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guard settings.autoRecordOnDetection else { return }
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switch state {
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case .idle, .error:
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start(label: call.app.label, auto: true, capture: (call.app, call.bundleID, call.windowID))
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case .starting, .recording, .finishing: break // don't disturb an active session
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}
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}
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private func handleCallEnd() {
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// Only auto-stop a session we auto-started; never a manual recording.
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guard autoStarted else { return }
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switch state {
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case .recording: stop()
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case .starting: pendingAutoStop = true // resolved when start() completes
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case .idle, .error, .finishing: break
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}
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}
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var isBusy: Bool {
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state == .starting || state == .recording || state == .finishing
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}
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func toggle() {
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switch state {
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case .idle, .error: start()
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case .recording: stop()
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case .starting, .finishing: break // ignore taps mid-transition
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}
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}
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// MARK: - Start / Stop
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private func start(label: String = "manual", auto: Bool = false,
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capture: (app: CallDetector.DetectedApp, bundleID: String, windowID: CGWindowID?)? = nil) {
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let folder: URL
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do {
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folder = try makeSessionFolder(label: label)
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} catch {
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fail("Couldn't create session folder: \(error.localizedDescription)")
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return
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}
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currentFolder = folder
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currentLabel = label
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autoStarted = auto
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pendingAutoStop = false
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pendingCapture = capture
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let recorder = AudioRecorder(
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micURL: folder.appendingPathComponent("mic.wav"),
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systemURL: folder.appendingPathComponent("system.wav"),
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mixedURL: folder.appendingPathComponent("mixed_mono_16k.wav"))
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self.recorder = recorder
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warning = nil
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recapURL = nil
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state = .starting
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lifecycleGeneration += 1
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let myGen = lifecycleGeneration
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lifecycleTask = Task {
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do {
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try await recorder.start() // self-tears-down if it throws
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self.state = .recording
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self.startTime = Date()
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self.startTimer()
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// A detected call may have ended while we were still starting.
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if self.pendingAutoStop {
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self.pendingAutoStop = false
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self.stop()
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return
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}
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// Attach visual capture on the SAME clock (best-effort, audio-only on failure).
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// Pass this session's generation + recorder so a slow start can't
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// adopt itself into a different session that began meanwhile.
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await self.startVisual(t0Host: recorder.sharedT0Host(), generation: myGen, recorder: recorder)
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} catch {
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self.handleStartFailure(error)
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}
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}
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}
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/// Map a recorder start failure to an actionable message. The common case is
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/// Screen Recording getting re-checked after a rebuild (the SCStream auth
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/// check fails even though CGPreflight reports granted), so re-prompt and open
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/// the right Settings pane rather than show a cryptic TCC error.
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private func handleStartFailure(_ error: Error) {
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let msg = error.localizedDescription.lowercased()
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let screenIssue = msg.contains("declined") || msg.contains("tcc")
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|| msg.contains("screen") || msg.contains("permission")
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if screenIssue {
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_ = CGRequestScreenCaptureAccess()
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if let url = URL(string: "x-apple.systempreferences:com.apple.preference.security?Privacy_ScreenCapture") {
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NSWorkspace.shared.open(url)
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}
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fail("Screen Recording needs re-approval for this build. Toggle Ten31Transcripts off then on in System Settings ▸ Screen Recording, then restart the app.")
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} else {
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fail("Couldn't start recording: \(error.localizedDescription)")
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}
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}
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// MARK: - Visual capture
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/// Best-effort: start window capture for the detected app on the audio clock.
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/// Any failure (no adapter, no window, Screen Recording denied) leaves
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/// `visualCapture` nil and the session records audio-only.
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///
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/// `generation`/`recorder` identify the session that launched this; because
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/// `vc.start()` is a slow async call, a stop + a fresh start can complete during
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/// it. We adopt the stream ONLY back into the same session — otherwise we cancel
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/// it, so a stale capture can never attach to (or leak into) a different session.
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private func startVisual(t0Host: Double, generation: Int, recorder: AudioRecorder) async {
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guard let capture = pendingCapture else { return } // manual recording → audio-only
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pendingCapture = nil
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guard let vc = VisualCapture(app: capture.app, bundleID: capture.bundleID,
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windowID: capture.windowID, t0Host: t0Host) else { return }
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// Register the live capture before the await so a quit (prepareForTermination)
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// can drain it even if this start-Task gets orphaned by a concurrent stop.
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inFlightVisual = vc
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defer { if inFlightVisual === vc { inFlightVisual = nil } }
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do {
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try await vc.start()
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// Adopt only if THIS session still owns the slot (same generation, same
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// recorder, still recording); otherwise discard rather than leak/misattach.
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guard generation == lifecycleGeneration, self.recorder === recorder,
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case .recording = state else {
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await vc.cancel()
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return
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}
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if let existing = visualCapture { await existing.cancel() } // fail-closed
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visualCapture = vc
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} catch {
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await vc.cancel() // tear down any partial stream; never break recording
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}
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}
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/// Stop visual capture (if any), write `visual_timeline.json`, and return the
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/// timeline for the backend: visual segments + merged self-spans when visual
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/// ran, otherwise the mic-VAD self spans alone. `visualRan` reports whether the
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/// visual pipeline actually attached (for the after-session indicator).
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private func stopVisualAndTimeline(_ result: RecordingResult, folder: URL?)
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async -> (timeline: [VisualTimeline.Segment], selfSpans: [VADSpan], visualRan: Bool) {
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let selfName = settings.selfName
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let selfSpans = await channelSelfSpans(result: result, folder: folder)
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if let vc = visualCapture, let folder {
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visualCapture = nil
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// Remote (vision) segments only; self travels separately as the mic channel.
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let remote = await vc.finish(
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selfSpans: selfSpans, selfName: selfName,
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sessionId: folder.lastPathComponent, t0Unix: result.t0Unix,
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durationSec: result.duration, folder: folder)
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return (remote, selfSpans, true)
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}
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if let vc = visualCapture { await vc.cancel(); visualCapture = nil }
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return ([], selfSpans, false)
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}
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/// Self spans for the backend timeline, identified by CHANNEL: the mic track is
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/// the local user, so self = mic active AND louder than system. This makes self
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/// platform-independent (one name, no display-name matching) and stops a remote
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/// speaker from being mislabeled as self. Falls back to the mic-VAD spans if the
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/// tracks can't be read. Runs off the main actor (file I/O).
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private func channelSelfSpans(result: RecordingResult, folder: URL?) async -> [VADSpan] {
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guard let folder else { return result.selfSpans }
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let mic = folder.appendingPathComponent("mic.wav")
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let sys = folder.appendingPathComponent("system.wav")
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let spans = await Task.detached { ChannelSelfVAD.selfSpans(micURL: mic, systemURL: sys) }.value
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return spans ?? result.selfSpans
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}
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private func stop() {
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guard let recorder else { return }
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state = .finishing
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stopTimer()
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let folder = currentFolder
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lifecycleGeneration += 1
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lifecycleTask = Task {
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let result = await recorder.stop()
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let visual = await self.stopVisualAndTimeline(result, folder: folder)
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self.finish(result, timeline: visual.timeline, selfSpans: visual.selfSpans, visualRan: visual.visualRan)
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}
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}
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private func finish(_ result: RecordingResult, timeline: [VisualTimeline.Segment],
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selfSpans: [VADSpan], visualRan: Bool) {
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recorder = nil
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micLevel = 0
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systemLevel = 0
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warning = result.systemNote.map { "System audio stopped early: \($0)" }
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transcriptStatus = .idle
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if let folder = currentFolder {
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writeSelfSpans(spans: selfSpans, result: result, to: folder)
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let visualCount = visualRan ? timeline.count : nil // `timeline` is the remote vision segments
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lastSession = SessionInfo(
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folder: folder, mixedURL: result.mixedURL,
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duration: result.duration, selfSpanCount: selfSpans.count,
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visualSegmentCount: visualCount)
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lastProcess = ProcessInputs(
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folder: folder, sessionId: folder.lastPathComponent, app: currentLabel,
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micURL: result.micURL, systemURL: result.systemURL, mixedURL: result.mixedURL,
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timeline: timeline, selfSpans: selfSpans, selfName: settings.selfName,
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systemHealthy: result.systemNote == nil)
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}
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let autoSend = settings.autoSendOnStop
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currentFolder = nil
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autoStarted = false
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pendingAutoStop = false
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elapsed = 0
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state = .idle
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if autoSend { processLastSession() }
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}
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// MARK: - Backend transcription
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/// Send the last finished session to the backend → `speakers.json`. The
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/// timeline is the session's visual segments (with mic-VAD self spans merged)
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/// when visual capture ran, or the self spans alone otherwise. Safe to call
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/// manually ("Send to backend") or automatically on stop.
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func processLastSession() {
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guard let inputs = lastProcess else { return }
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if case .processing = transcriptStatus { return }
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transcriptStatus = .processing(0, 1)
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recapURL = nil
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let settings = self.settings
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let voiceprints = self.voiceprints
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processTask = Task {
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let pipeline = TranscriptPipeline(
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baseURL: settings.backendBaseURL,
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skipTLS: settings.skipTLSVerification,
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voiceprints: voiceprints)
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do {
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let speakers = try await pipeline.process(
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sessionFolder: inputs.folder, sessionId: inputs.sessionId, app: inputs.app,
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micURL: inputs.micURL, systemURL: inputs.systemURL, mixedURL: inputs.mixedURL,
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timeline: inputs.timeline, selfSpans: inputs.selfSpans, selfName: inputs.selfName,
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systemHealthy: inputs.systemHealthy,
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progress: { done, total in
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await MainActor.run { self.transcriptStatus = .processing(done, total) }
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})
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self.transcriptStatus = .done(speakers: speakers.speakers.count, segments: speakers.segments.count)
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// Best-effort readable recap (topic sections + extras) via the gateway LLM.
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if settings.recapEnabled, !speakers.segments.isEmpty {
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try Task.checkCancellation()
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await self.buildRecap(speakers: speakers, inputs: inputs, settings: settings)
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}
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} catch is CancellationError {
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self.transcriptStatus = .idle
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} catch {
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self.transcriptStatus = .failed(error.localizedDescription)
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}
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}
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}
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/// Build `transcript.md` + `recap.html` from the finished `speakers.json` using
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/// the gateway LLM. Best-effort: a missing LLM or any failure leaves the
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/// transcript intact and just skips the recap.
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private func buildRecap(speakers: SpeakersFile, inputs: ProcessInputs, settings: AppSettings) async {
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let llm = GatewayLLMClient(baseURL: settings.backendBaseURL, skipTLS: settings.skipTLSVerification)
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guard let model = await llm.chatModelId() else { return } // no LLM on the gateway → skip
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let analyzer = RecapAnalyzer(llm: llm, model: model)
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guard let result = try? await analyzer.recap(file: speakers) else { return }
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let title = Self.recapTitle(app: inputs.app, sessionId: inputs.sessionId)
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try? RecapRenderer.write(file: speakers, result: result, title: title, to: inputs.folder)
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let url = inputs.folder.appendingPathComponent("recap.html")
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if FileManager.default.fileExists(atPath: url.path) { self.recapURL = url }
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}
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/// Friendly recap title, e.g. "Google Meet call — 2026-06-06 11:43".
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private static func recapTitle(app: String, sessionId: String) -> String {
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let appName = CallDetector.DetectedApp(rawValue: app)?.display ?? app.capitalized
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let stamp = sessionId.split(separator: "_").first.map(String.init) ?? sessionId
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let parts = stamp.split(separator: "T")
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let date = parts.first.map(String.init) ?? ""
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let timeBits = parts.count > 1 ? parts[1].split(separator: "-") : []
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let time = timeBits.count >= 2 ? "\(timeBits[0]):\(timeBits[1])" : ""
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return "\(appName) call — \(date) \(time)".trimmingCharacters(in: .whitespaces)
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}
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private func fail(_ message: String) {
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recorder = nil
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visualCapture = nil // recorder.start() failed before visual started; nothing running
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inFlightVisual = nil
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pendingCapture = nil
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currentFolder = nil
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autoStarted = false
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pendingAutoStop = false
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stopTimer()
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micLevel = 0
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systemLevel = 0
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elapsed = 0
|
|
state = .error(message)
|
|
}
|
|
|
|
/// Called from `applicationShouldTerminate`: flush any in-progress session so
|
|
/// its WAV headers are finalized before the process exits. Handles quit while
|
|
/// `.starting` and `.finishing`, not just `.recording`.
|
|
func prepareForTermination() async {
|
|
// Cancel any in-flight backend transcription (audio is already saved; the
|
|
// user can resend). The pipeline's checkCancellation + defer clean up chunks.
|
|
processTask?.cancel()
|
|
// Drain whatever lifecycle Task is in flight until nothing is busy. A Stop
|
|
// click landing in an await window can spawn a new stop Task, so loop
|
|
// rather than awaiting a single captured task.
|
|
while isBusy {
|
|
let gen = lifecycleGeneration
|
|
await lifecycleTask?.value
|
|
if state == .recording, let recorder {
|
|
state = .finishing
|
|
stopTimer()
|
|
let folder = currentFolder
|
|
let result = await recorder.stop()
|
|
let visual = await stopVisualAndTimeline(result, folder: folder)
|
|
finish(result, timeline: visual.timeline, selfSpans: visual.selfSpans, visualRan: visual.visualRan)
|
|
} else if lifecycleGeneration == gen {
|
|
break // settled: no new transition was spawned
|
|
}
|
|
}
|
|
// A visual start-Task orphaned by a concurrent stop may still hold a live
|
|
// stream that nothing else will tear down before exit — drain it here.
|
|
if let vc = inFlightVisual {
|
|
inFlightVisual = nil
|
|
await vc.cancel()
|
|
}
|
|
}
|
|
|
|
// MARK: - Timer
|
|
|
|
private func startTimer() {
|
|
timer = Timer.scheduledTimer(withTimeInterval: 0.1, repeats: true) { [weak self] _ in
|
|
Task { @MainActor in
|
|
guard let self else { return }
|
|
if let start = self.startTime { self.elapsed = Date().timeIntervalSince(start) }
|
|
if let recorder = self.recorder {
|
|
let levels = recorder.currentLevels()
|
|
self.micLevel = levels.mic
|
|
self.systemLevel = levels.system
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
private func stopTimer() {
|
|
timer?.invalidate()
|
|
timer = nil
|
|
}
|
|
|
|
// MARK: - Files
|
|
|
|
private func makeSessionFolder(label: String) throws -> URL {
|
|
let base = settings.outputFolderURL.appendingPathComponent("sessions", isDirectory: true)
|
|
let folder = base.appendingPathComponent("\(Self.timestamp())_\(label)", isDirectory: true)
|
|
try FileManager.default.createDirectory(at: folder, withIntermediateDirectories: true)
|
|
return folder
|
|
}
|
|
|
|
private static func timestamp() -> String {
|
|
let f = DateFormatter()
|
|
f.locale = Locale(identifier: "en_US_POSIX")
|
|
f.dateFormat = "yyyy-MM-dd'T'HH-mm-ss"
|
|
return f.string(from: Date())
|
|
}
|
|
|
|
/// Debug artifact: the channel-verified "self" spans actually sent to the backend
|
|
/// as `self_vad` (mic active AND louder than system). Lets us eyeball self detection.
|
|
private func writeSelfSpans(spans: [VADSpan], result: RecordingResult, to folder: URL) {
|
|
let segments = spans.map { span -> [String: Any] in
|
|
["start": span.start, "end": span.end, "name": "self",
|
|
"confidence": span.confidence, "source": "mic_channel"]
|
|
}
|
|
let object: [String: Any] = [
|
|
"note": "channel-verified self spans (mic active and louder than system) — the self_vad sent to label-merge",
|
|
"t0_unix": result.t0Unix,
|
|
"duration_sec": result.duration,
|
|
"self_spans": segments,
|
|
]
|
|
if let data = try? JSONSerialization.data(withJSONObject: object,
|
|
options: [.prettyPrinted, .sortedKeys]) {
|
|
try? data.write(to: folder.appendingPathComponent("self_vad.json"))
|
|
}
|
|
}
|
|
}
|