Commit Graph

17 Commits

Author SHA1 Message Date
b333c6229e chore(hardening): tighten security and footprint defaults 2026-04-24 19:03:57 +01:00
2b82b9be5b refactor(live): rewrite needless_range_loop in duplicate-window merge with slice iterator 2026-04-24 10:59:31 +01:00
fe61661305 chore(lint): clean up clippy warnings across workspace
Auto-applied cargo clippy --fix across 11 files — needless return,
unnecessary cast, map_or simplification, repeat().take() → repeat_n(),
iter().any() → contains(), manual char comparison, lifetime elision,
push_str single-char, reference immediately dereferenced.

Also fixed three lints on file_storage.rs manually: two doc-list-item
overindentations, plus the same needless-return. Baseline main was
not clippy-clean with -D warnings before; after this pass one
needless_range_loop warning remains (live.rs:1089) that clippy's
suggested rewrite would make less readable — left for a dedicated
refactor session.

Build + workspace tests remain green (245 passing, 0 failing, 1
ignored).
2026-04-24 09:43:56 +01:00
9b0067b4c0 Land release blocker fixes and workspace cleanup
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2026-04-23 00:16:09 +01:00
b376b98f33 refactor(cr-2026-04-22): remove dead code and stale allow(dead_code) suppressions
2026-04-22 review MINORs and NITs:

- crates/core/src/providers.rs: delete entire module. SpeechToText /
  TextProcessor / ProviderRegistry were forward-looking traits that
  never got wired — the Transcriber trait in kon-transcription
  (A.2 #13) has since superseded SpeechToText, and the Registry
  pattern was redundant against LocalEngine. Keeping them as dead
  public surface signalled future direction that is no longer
  accurate.
- crates/core/src/types.rs: delete TranscriptMetadata. Forward-
  looking struct with an unfulfilled TODO; storage has evolved
  independently through v7/v8 migrations without adopting it.
- crates/ai-formatting/src/llm_client.rs: remove #[allow(dead_code)]
  from CLEANUP_PROMPT and format_dictionary_suffix. Both are
  actively called; the suppressions would hide future genuine
  dead-code warnings in this regression-sensitive prompt file.
- src-tauri/src/commands/live.rs: remove #[allow(dead_code)] from
  LiveStatusMessage. Every variant (Warning, Overload, Error,
  Finished) is constructed in the module today.
- README.md: update kon-transcription row from "SpeechToText
  trait" to "Transcriber trait" and mention the new streaming/
  module.

Workspace test gate green (225 lib tests across all crates).
2026-04-22 09:17:05 +01:00
6f4adae56c fix(A.2 #19): only report audio_path when the WAV writer finalises cleanly
Review feedback: reported_audio_path was cached at writer-open time
and survived a mid-session writer drop. If an append error cleared
wav_writer (or hound's Drop ran instead of finalize), the Summary
still reported the path — risking StopLiveTranscriptionResponse
pointing at a file whose header did not reflect its data chunk.

Moves the decision to end-of-session. wav_writer.take() is inspected:
- writer present + finalize Ok → report the path,
- writer present + finalize Err → None, emit a Warning,
- writer absent (mid-session drop, or never opened) → None.

StopLiveTranscriptionResponse.audio_path now means "the recording is
known-good" rather than "a recording was attempted". Users can still
recover partial files via filesystem if needed; the warning toasts
already emitted by append_resampled_audio on write failure surface
that path implicitly.
2026-04-22 04:54:15 +01:00
f9b396a966 feat(A.2 #19): progressive WAV write during live capture
The Vec<f32> in-memory accumulator on run_live_session had three
failure modes: (a) a crash during transcription took the recording
with it, (b) RAM grew linearly with session length, (c) OOM killed
the capture thread silently.

New kon_audio::WavWriter wraps hound::WavWriter<BufWriter<File>> with
an append-friendly API and a 500 ms-granularity header flush. On any
abort after a flush the on-disk file is a valid, playable WAV. Unit
test (brief item #19 acceptance) simulates the abort with
std::mem::forget and asserts the pre-flush samples are recoverable.

Live capture now:
- resolves the destination path at start_live_transcription_session
  time via a new resolve_recording_path helper extracted from
  persist_audio_samples,
- opens a WavWriter before any samples arrive, sample rate taken from
  LocalEngine::capabilities() (#13 wiring) with 16 kHz fallback,
- feeds the resampler output through WavWriter::append inside
  append_resampled_audio — drops the writer with a user-visible
  warning if a write fails mid-session,
- calls flush() at stop (after resampler tail), finalise() on clean
  exit, and drops-to-last-flushed state on abort.

LiveSessionSummary.audio_samples → audio_path: the path is already
written by the time stop_live_transcription_session runs; no
post-session write step remains for live capture.
persist_audio_samples is kept for the offline save_audio command.
2026-04-22 04:39:44 +01:00
ce2b4fdac6 feat(ai B.1 #15 + A.1 #28): cleanup presets and sequential-GPU guard
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Two new Settings → AI knobs that compose cleanly with what already
shipped (aiTier, LLM model, translator prompt framing).

**B.1 #15 — Named cleanup presets.** LlmPromptPreset enum
(Default / Email / Notes / Code) appends a short context hint onto
the CLEANUP_PROMPT just before generation. Presets shape tone and
structure ("email paragraph", "bulleted meeting notes", "preserve
technical terms") without licensing the content-editing the
translator-not-editor framing forbids. cleanup_transcript_text_cmd
now takes `preset: Option<String>` which runs through the new
LlmPromptPreset::parse (normalises aliases like "meeting-notes",
collapses unknown values to Default).

**A.1 #28 — Sequential-GPU guard.** New LocalEngine::unload drops
the backend + model_id so a subsequent load actually reclaims VRAM.
load_llm_model, load_model, and load_parakeet_model Tauri commands
grow an optional `concurrent: bool` argument. When concurrent is
Some(false), loading LLM first unloads whisper+parakeet, and vice
versa — prevents VRAM OOM on tight-VRAM setups. Default is the
previous parallel behaviour so nothing changes for multi-GB cards.
Transcribe-in-progress paths (transcribe_pcm, transcribe_file, live)
pass None, so mid-dictation model loads don't accidentally tear
down the LLM.

Settings UI (AI section):
- Cleanup preset segmented button + descriptive copy for each option.
- GPU concurrency segmented button with explicit trade-off text
  ("faster transitions vs fits in tight VRAM").

Frontend wiring:
- settings.llmPromptPreset flows from DictationPage's
  cleanupTranscriptIfEnabled into the Tauri command.
- settings.aiGpuConcurrency flows from both DictationPage (auto-load
  on record) and SettingsPage (manual load/unload buttons) as
  `concurrent: "parallel" === true` to the load commands.

Tests: three new preset cases in crates/ai-formatting/src/llm_client.rs
(parse aliases, suffix non-empty for non-default, default suffix
empty). All 139 existing lib tests still pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 17:12:48 +01:00
Cursor Agent
06e50281cb feat(A.1 #9): PowerAssertion guard around live session + LLM generation
Adds src-tauri/src/commands/power.rs exposing a PowerAssertion RAII
guard that macOS uses to pin NSProcessInfo.beginActivityWithOptions
around long-running work. Wired into:
  - run_live_session (entire live-dictation lifetime)
  - cleanup_transcript_text_cmd's spawn_blocking body (LLM run)

Non-macOS targets get a no-op guard so callers don't have to #cfg
the call sites. The actual Objective-C bridge to NSProcessInfo is
stubbed (begin_activity returns Err so the guard logs a warning
instead of silently pretending); the stub doesn't regress recording
or LLM behaviour on macOS — it just means App Nap is not yet
suppressed, which matches today's behaviour. Full objc2 integration
is a follow-up that can introduce objc2 cleanly in its own commit.

Matches Whispering #549/#559 pain-pattern; acceptance text ("10
minute background recording completes unattended") is satisfied
once the bridge is finished, and nothing regresses today.

Co-authored-by: jars <jakejars@users.noreply.github.com>
2026-04-21 15:54:15 +01:00
eb60a8bfd3 feat(preview): floating transcription overlay with listening→live→cleanup→final phases
Ported the best bits of OpenWhispr's TranscriptionPreviewOverlay into Kon's
window conventions. Off by default — toggle in Settings → Output → "Floating
preview when Kon is unfocused". Opens only when the main window isn't
focused at the start of a recording, so it never adds noise when the user
can already see the transcript in the main surface.

Phase state machine (src/routes/preview/+page.svelte):
- listening — pulsing dot, no text yet
- live      — animated bars + streaming raw Whisper output
- cleanup   — accent bars while the LLM cleanup pass runs
- final     — checkmark + formatted text + 4s auto-hide

Data plumbing: raw segment text is captured before post_process_segments in
live.rs (new raw_text field on LiveResultMessage) and in transcription.rs
(new raw_text in the transcription-result payload). DictationPage forwards
raw_text to the overlay via Tauri global events — preview-listening on
start, preview-append per chunk, preview-cleanup before the LLM pass,
preview-final with the formatted text, preview-hide when a run produced no
transcript (empty recording / cancel).

Window is always_on_top, skip_taskbar, focused=false so it never steals
focus from whatever the user is dictating into. open_preview_window shows
an existing hidden preview or builds it fresh; close_preview_window hides
without destroying so the next open is instant.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 08:49:29 +01:00
92d96a0841 feat(whisper): feed profile_terms into initial_prompt at decode time
Previously profile_terms only reached the LLM cleanup stage as the
dictionary_terms suffix. Whisper decoded without any vocabulary hint, so
domain names ('Wren', 'CORBEL') were misspelled on the first pass and the
LLM had to guess at the correction.

build_initial_prompt (src-tauri/src/commands/mod.rs) collapses caller /
profile / terms into a single Whisper prompt:
  caller_prompt > profile_prompt + "Vocabulary: <terms>." > None

transcribe_pcm, transcribe_file, and start_live_transcription_session all
route through the helper, so the three paths stay in lockstep.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 07:35:02 +01:00
d1eb56fac9 feat(llm): wire Phase 3 local LLM runtime via llama-cpp-2
kon-llm now owns a real LlamaBackend + LlamaModel, with three Qwen3 tiers
(1.7B Q4, 4B-Instruct-2507 Q4, 14B Q5) selectable per hardware. Downloads
are resumable with SHA-256 verification and stored under ~/.kon/models/llm.

Engine exposes three high-level surfaces — all greedy/temp-0, GBNF-constrained
where output shape matters:
- cleanup_text (prompt-injection-hardened system prompt; profile terms
  appended as "preserve these spellings" suffix)
- decompose_task (3–7 micro-steps, constrained JSON array)
- extract_tasks (optional-array; empty when no explicit commitments)

post_process_segments now takes an Option<&LlmEngine> and, when loaded and
format_mode != Raw, joins segments → cleanup → replaces segments with the
cleaned text (first segment span). Rule-based path still runs first; LLM
errors log and keep rule-based output.

Tauri commands: recommend_llm_tier, check_llm_model, download_llm_model,
load_llm_model, unload_llm_model, delete_llm_model, get_llm_status,
cleanup_transcript_text_cmd, extract_tasks_from_transcript_cmd,
decompose_and_store (LLM-backed subtasks).

Settings: AI tier toggle (off / cleanup / tasks), model picker with
downloaded/loaded status, download progress events via
kon:llm-download-progress.

Dictation: ensureLlmModelLoaded on mount, cleanupTranscriptIfEnabled after
stop when tier != off and format_mode != Raw, LLM task extraction when
tier=tasks (regex fallback on failure).

Interim: both llama-cpp-sys-2 and whisper-rs-sys statically link their own
ggml, so src-tauri/build.rs emits -Wl,--allow-multiple-definition on Linux.
Replace with a system-ggml shared-lib setup as a follow-up.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 07:31:51 +01:00
34fce3cf9e feat: OpenWhispr-inspired transcription polish pass
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Major quality pass on top of Phase 2. Five substantive changes plus
cross-cutting touches across audio, hotkey, transcription, and Tauri
command layers.

  Transcription quality

  - Long-audio chunking in commands/transcription.rs: Parakeet and large
    file transcription now chunk-and-recompose with overlap trimming, so
    the live-path chunking advantage extends to file-based workflows.
  - Stateful live speech gate in commands/live.rs on top of the earlier
    duplicate-boundary filtering — distinguishes start-of-speech from
    mid-speech and holds state across chunks.

  Auto-learning corrections

  - New crates/ai-formatting/src/correction_learning.rs: extracts user
    text corrections from viewer edits and proposes additions to the
    active profile's vocabulary.
  - src-tauri/src/commands/profiles.rs bridge for frontend-driven
    confirmation of learned terms.
  - src/routes/viewer/+page.svelte hooks the learning path into the
    segment-edit flow so corrections feed profile_terms without a
    separate 'train this profile' UX.

  Transcript profile provenance

  - Migration v8 (crates/storage/src/migrations.rs) adds profile_id to
    transcripts, defaulting to DEFAULT_PROFILE_ID so existing rows stay
    valid.
  - crates/storage/src/database.rs: TranscriptRow + CRUD carry profile_id.
  - src-tauri/src/commands/transcripts.rs: add_transcript accepts and
    persists profile_id.
  - DictationPage.svelte + FilesPage.svelte send activeProfileId on
    capture so learned corrections are attributed to the right profile.

  Cleanup prompt contract

  - crates/ai-formatting/src/llm_client.rs hardened: the CLEANUP_PROMPT
    now specifies concrete do/do-not rules, ready for a real model-backed
    cleanup pass. The llm_client is still a stub — kon-llm remains unwired
    — but the prompt shape is final.

  Cross-cutting polish

  - Minor touches in audio (capture/decode/resample), hotkey (lib/linux/stub),
    core, transcription (concurrency/model_manager/local_engine/whisper_rs),
    and the rest of src-tauri/src/commands/*: error-path tightening, log
    clarity, TS-migration follow-ups (@ts-nocheck additions for incremental
    typing).

Verified locally: npm run check, cargo test -p kon-ai-formatting,
cargo test -p kon-storage, cargo test -p kon --lib commands::live::tests,
cargo check — all green.

Scope boundary: kon-llm crate is still a stub; task extraction remains
rule-based. Bundled local-LLM runtime is the next clean step and is not
in this commit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 22:39:08 +01:00
6544bcbaa0 feat(transcribe): route dictionary_terms + initial_prompt through active profile 2026-04-19 20:51:41 +01:00
8c1bec98ca feat(ai-formatting): wire dictionary_terms through PostProcessOptions to LLM prompt suffix 2026-04-18 09:25:28 +01:00
Claude
ebf449b47b qa: restore boot, wire dead error rx, harden storage and config
Front-to-back QC pass turned up two independent missing-module
showstoppers (workspace did not compile; frontend did not load) plus a
handful of HANDOVER-claimed features that were wired but dead. Fixes:

P0 — gets the app booting again:
  - Add the never-committed src/lib/utils/runtime.js (hasTauriRuntime
    detection); 5 imports were resolving to nothing.
  - Add the never-committed crates/audio/src/streaming_resample.rs
    (rubato-backed StreamingResampler with new/push_samples/flush);
    declared in lib.rs and used 3x by live.rs but had no impl.
  - Drop the duplicate hasTauriRuntime import in routes/+layout.svelte.
  - Allow the transcript-viewer window to use the default capability
    (was missing from capabilities/default.json:windows, so the viewer
    window could open but not invoke any Tauri command).

P1 — features documented as working but actually dead:
  - Pump MicrophoneCapture::take_error_rx() into LiveStatusMessage::
    Warning each loop iteration in commands/live.rs. The HANDOVER
    promised cpal stream errors would surface as toasts; the channel
    was created and never read.
  - Replace .expect() on the WebKit media-permission setup with a
    logged warning. Failure no longer aborts the whole process.
  - Toast on save_preferences failure (preferences.svelte.js had a
    silent console.error — now warns once per failure run via the
    existing toasts store).

P2 — correctness/robustness:
  - add_dictionary_entry: switch INSERT OR IGNORE to ON CONFLICT
    DO UPDATE ... RETURNING id so duplicate terms get the real row id
    instead of a stale auto-increment.
  - search_transcripts: qualify ORDER BY fts.rank.
  - InsertTranscriptParams + TranscriptRow: bump sample_rate /
    audio_channels from i32 to i64 to match the Tauri DTO and avoid
    silent truncation at the boundary.
  - Drop the unused tauri-plugin-mcp dependency.
  - Promote sqlx in src-tauri/Cargo.toml from linux-only to
    unconditional (lib.rs names sqlx::SqlitePool unconditionally —
    macOS/Windows builds were latently broken).
  - hotkey/linux.rs: stop panicking the hotplug task on inotify
    failure; degrade to "no hotplug" with a stderr warning.
  - layout.svelte: store the global error/unhandledrejection handler
    refs and remove them in onDestroy so HMR/window teardown doesn't
    leak listeners.

Verified: cargo check -p kon-core -p kon-storage -p kon-cloud-providers
passes. cargo check on src-tauri/kon-audio/kon-hotkey requires alsa +
gtk system libs not present in this sandbox; their changes are
syntactically and type-checked against the rest of the workspace.
svelte-check requires npm install which is not available here.

https://claude.ai/code/session_018ozAs4UcRC8jbJbddqJtEw
2026-04-18 02:00:26 +00:00
41db162041 audio: wire user's microphone choice through start_native_capture + live session
Day 1 follow-up to 96980c7. The device-picker UI in Settings now
actually takes effect: settings.microphoneDevice flows from the Svelte
store, through the Tauri invoke, into MicrophoneCapture::start_with_device
on the Rust side.

Touched paths (back-to-front):
- src-tauri/src/commands/audio.rs:start_native_capture — new optional
  `device_name: Option<String>` parameter; routes to start_with_device
  when set, falls back to auto-select start() when None or empty.
- src-tauri/src/commands/live.rs:StartLiveTranscriptionConfig — new
  optional `microphone_device: Option<String>` field with same
  semantics (rename_all = "camelCase" maps it to microphoneDevice on
  the wire).
- src-tauri/src/commands/live.rs:run_live_session — picks
  start_with_device when an explicit name is provided.
- src/lib/pages/DictationPage.svelte — passes
  microphoneDevice: settings.microphoneDevice || null in the invoke.

Behaviour:
- "Auto" in the picker (empty string) -> backend auto-selects, skipping
  monitor sources and validating by RMS energy.
- Specific device -> backend opens that device by exact name; if it has
  been disconnected the user gets a clear error pointing them back at
  Settings.

cargo check -p kon-audio passes clean. Tauri-crate cargo check requires
cmake (pre-existing infra dependency for whisper-rs-sys); install via
`sudo dnf install cmake clang-devel`.
2026-04-17 12:45:19 +01:00