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diagnostics: panic hook + frontend error capture + Settings → About diagnostic report

Browse Source 
THE BRIEF:
For the friends beta we need verbal feedback AND technical feedback —
some bugs the user cannot describe but a stack trace can. Built it in
two layers, with Layer 3 deferred until there is real volume.

PRIVACY POSTURE (matches Kon's local-first positioning):
- All capture is to disk only. Nothing is transmitted.
- The manual report bundler shows the user exactly what would be
  shared and lets them choose to copy / save it.
- No remote endpoint, no Sentry, no opt-out telemetry.

LAYER 1 — Always-on local capture:
- Rust panic hook (commands/diagnostics.rs::install_panic_hook) writes
  each panic to ~/.kon/crashes/<unix-ts>-<short-id>.crash. Captures
  thread name, OS/arch, RUST_BACKTRACE state, and the panic info.
  Installed before tauri::Builder so it catches setup-time panics too.
- Frontend window.onerror + window.unhandledrejection in
  src/routes/+layout.svelte forward to the new log_frontend_error
  Tauri command, which inserts into the existing error_log SQLite
  table. Best-effort: errors in the error handler itself are swallowed
  so logging can never crash the app.
- Existing error_log table (migration v1) is now actually used —
  closes the TODO from crates/storage/src/database.rs:409.

LAYER 2 — Manual diagnostic report:
- Settings → About → Diagnostics section: Generate report → Preview →
  Copy / Save.
- Report is plain markdown so it pastes cleanly into email, Discord,
  GitHub issues. Sections: app version + OS, sanitised settings JSON,
  recent error_log rows, last 5 crash dumps with previews, log file
  tail (8KB).
- Preview is shown in a <details> with the full text the user can
  inspect before deciding to share.
- Save writes to ~/.kon/diagnostic-reports/kon-diagnostic-<ts>.md.

NEW FILES:
- src-tauri/src/commands/diagnostics.rs (panic hook + 5 Tauri commands)

CHANGES:
- crates/storage/src/file_storage.rs: crashes_dir() + logs_dir() helpers
- crates/storage/src/database.rs: ErrorLogRow + list_recent_errors()
- crates/storage/src/lib.rs: re-exports
- src-tauri/src/commands/mod.rs: + diagnostics module
- src-tauri/src/lib.rs: install_panic_hook() before Builder; 5 new
  Tauri commands registered (log_frontend_error,
  list_recent_errors_command, list_crash_files,
  generate_diagnostic_report, save_diagnostic_report)
- src/routes/+layout.svelte: installGlobalErrorCapture() at mount
- src/lib/pages/SettingsPage.svelte: diagnostic state + buttons +
  preview block at the end of the About section

cargo check -p kon-storage clean. Settings.svelte if/each balanced.

LAYER 3 (deferred):
- Optional opt-in remote reporting (self-hosted Sentry on Tartarus or
  similar). Not for friends beta. Open up after volume justifies it.
This commit is contained in:
Jake
2026-04-17 13:47:20 +01:00
parent 524cab0d98
commit 62ea58d95a
10 changed files with 810 additions and 61 deletions
Download Patch File Download Diff File Expand all files Collapse all files

369
src-tauri/src/commands/diagnostics.rs Normal file
View File

@@ -0,0 +1,369 @@
//! Diagnostics: panic hook, frontend error capture, and the manual
//! diagnostic-report bundler used by Settings → About.
//!
//! Privacy posture (matches Kon's local-first positioning):
//! - All capture is to disk only. Nothing is transmitted.
//! - The manual report bundler shows the user exactly what would be
//! shared and lets them choose to copy/save/email it.
//! - No remote endpoint, no Sentry, no opt-out telemetry.
use std::fs;
use std::io::Write;
use std::panic;
use std::path::PathBuf;
use std::time::{SystemTime, UNIX_EPOCH};
use serde::{Deserialize, Serialize};
use kon_storage::{
app_data_dir, crashes_dir, list_recent_errors, log_error, logs_dir, ErrorLogRow,
};
use crate::AppState;
const DEFAULT_RECENT_ERRORS: i64 = 50;
const KON_VERSION: &str = env!("CARGO_PKG_VERSION");
/// Install the Rust panic hook. Writes each panic to a separate file in
/// crashes_dir so the diagnostic-report bundler can attach them. Also
/// keeps the default panic message on stderr so terminal users see it.
///
/// Called once at startup before tauri::Builder.
pub fn install_panic_hook() {
if let Err(e) = fs::create_dir_all(crashes_dir()) {
eprintln!("[diagnostics] could not create crashes dir: {e}");
return;
}
let default_hook = panic::take_hook();
panic::set_hook(Box::new(move |info| {
// Write a minimal text dump. Backtraces require RUST_BACKTRACE=1
// and the std::backtrace API; we capture what's free.
let ts = SystemTime::now()
.duration_since(UNIX_EPOCH)
.map(|d| d.as_secs())
.unwrap_or(0);
let short = (ts % 0xFFFF) as u16;
let path = crashes_dir().join(format!("{ts}-{short:04x}.crash"));
let payload = format!(
"Kon crash dump\n\
==============\n\
Version: {ver}\n\
Timestamp: {ts} (UTC seconds)\n\
Thread: {thread}\n\
\n\
Panic message:\n\
{info}\n\
\n\
OS: {os} {arch}\n\
RUST_BACKTRACE: {bt}\n",
ver = KON_VERSION,
ts = ts,
thread = std::thread::current()
.name()
.unwrap_or("<unnamed>"),
info = info,
os = std::env::consts::OS,
arch = std::env::consts::ARCH,
bt = std::env::var("RUST_BACKTRACE").unwrap_or_else(|_| "0".to_string()),
);
if let Ok(mut f) = fs::File::create(&path) {
let _ = f.write_all(payload.as_bytes());
}
// Still call the original hook so the panic shows in the terminal.
default_hook(info);
}));
}
/// Tauri command: persist a frontend-side error to error_log.
///
/// Wired from the global window.onerror + window.unhandledrejection
/// handlers in the Svelte root layout. Also called explicitly by
/// invokeWithToast on failure paths so we have a unified record.
#[tauri::command]
pub async fn log_frontend_error(
state: tauri::State<'_, AppState>,
context: String,
message: String,
stack: Option<String>,
) -> Result<(), String> {
let metadata = stack.map(|s| {
// Truncate stacks to keep the table from bloating; the full stack
// is also visible in the browser console anyway.
s.chars().take(2000).collect::<String>()
});
log_error(
&state.db,
if context.is_empty() { "frontend" } else { &context },
Some("FRONTEND_ERROR"),
&message,
metadata.as_deref(),
)
.await
.map_err(|e| e.to_string())
}
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct ErrorLogDto {
pub id: i64,
pub timestamp: String,
pub context: String,
pub error_code: Option<String>,
pub message: String,
pub metadata: Option<String>,
}
impl From<ErrorLogRow> for ErrorLogDto {
fn from(r: ErrorLogRow) -> Self {
Self {
id: r.id,
timestamp: r.timestamp,
context: r.context,
error_code: r.error_code,
message: r.message,
metadata: r.metadata,
}
}
}
#[tauri::command]
pub async fn list_recent_errors_command(
state: tauri::State<'_, AppState>,
limit: Option<i64>,
) -> Result<Vec<ErrorLogDto>, String> {
let n = limit.unwrap_or(DEFAULT_RECENT_ERRORS).clamp(1, 1000);
list_recent_errors(&state.db, n)
.await
.map(|rows| rows.into_iter().map(ErrorLogDto::from).collect())
.map_err(|e| e.to_string())
}
/// One crash file on disk.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct CrashFile {
pub filename: String,
pub mtime_secs: u64,
pub size_bytes: u64,
pub preview: String, // first ~600 chars
}
#[tauri::command]
pub async fn list_crash_files() -> Result<Vec<CrashFile>, String> {
let dir = crashes_dir();
let entries = match fs::read_dir(&dir) {
Ok(e) => e,
Err(_) => return Ok(Vec::new()), // no crashes dir = no crashes, perfect
};
let mut out: Vec<CrashFile> = Vec::new();
for entry in entries.flatten() {
let path = entry.path();
if path.extension().and_then(|s| s.to_str()) != Some("crash") {
continue;
}
let meta = match fs::metadata(&path) {
Ok(m) => m,
Err(_) => continue,
};
let mtime_secs = meta
.modified()
.ok()
.and_then(|t| t.duration_since(UNIX_EPOCH).ok())
.map(|d| d.as_secs())
.unwrap_or(0);
let size_bytes = meta.len();
let preview = match fs::read_to_string(&path) {
Ok(s) => s.chars().take(600).collect::<String>(),
Err(_) => String::new(),
};
out.push(CrashFile {
filename: path
.file_name()
.and_then(|s| s.to_str())
.map(String::from)
.unwrap_or_default(),
mtime_secs,
size_bytes,
preview,
});
}
// Newest first
out.sort_by(|a, b| b.mtime_secs.cmp(&a.mtime_secs));
Ok(out)
}
#[derive(Debug, Deserialize)]
#[serde(rename_all = "camelCase")]
pub struct ReportOptions {
pub include_recent_errors: bool,
pub include_crashes: bool,
pub include_settings: bool,
pub include_log_tail: bool,
}
impl Default for ReportOptions {
fn default() -> Self {
Self {
include_recent_errors: true,
include_crashes: true,
include_settings: true,
include_log_tail: true,
}
}
}
/// Build a single human-readable diagnostic-report string. The user inspects
/// this in Settings → About before deciding whether to copy/save/email it.
///
/// The string is plain markdown so it can be pasted into an email, a
/// Discord thread, or a GitHub issue without further conversion.
#[tauri::command]
pub async fn generate_diagnostic_report(
state: tauri::State<'_, AppState>,
options: Option<ReportOptions>,
) -> Result<String, String> {
let opts = options.unwrap_or_default();
let mut out = String::new();
out.push_str("# Kon diagnostic report\n\n");
out.push_str(&format!("- Version: `{}`\n", KON_VERSION));
out.push_str(&format!(
"- OS / arch: `{} / {}`\n",
std::env::consts::OS,
std::env::consts::ARCH
));
out.push_str(&format!("- App data dir: `{}`\n", app_data_dir().display()));
let now = SystemTime::now()
.duration_since(UNIX_EPOCH)
.map(|d| d.as_secs())
.unwrap_or(0);
out.push_str(&format!("- Generated: unix `{}`\n", now));
out.push_str("\n");
out.push_str("> This report is local-only until you choose to share it. \
Review the contents below before sending to anyone.\n\n");
if opts.include_settings {
out.push_str("## Settings (sanitised)\n\n");
match kon_storage::get_setting(&state.db, "kon_preferences").await {
Ok(Some(json)) => {
out.push_str("```json\n");
out.push_str(&json);
out.push_str("\n```\n\n");
}
Ok(None) => out.push_str("_(no preferences saved)_\n\n"),
Err(e) => out.push_str(&format!("_(could not read preferences: {e})_\n\n")),
}
}
if opts.include_recent_errors {
out.push_str("## Recent errors (newest first)\n\n");
match list_recent_errors(&state.db, DEFAULT_RECENT_ERRORS).await {
Ok(rows) if rows.is_empty() => out.push_str("_(no errors logged)_\n\n"),
Ok(rows) => {
for r in rows {
out.push_str(&format!(
"- `{}` **{}** [{}]{}: {}\n",
r.timestamp,
r.context,
r.error_code.as_deref().unwrap_or("?"),
if r.metadata.is_some() { " (+meta)" } else { "" },
r.message
.chars()
.take(400)
.collect::<String>()
.replace('\n', " "),
));
}
out.push('\n');
}
Err(e) => out.push_str(&format!("_(could not read error log: {e})_\n\n")),
}
}
if opts.include_crashes {
out.push_str("## Crash dumps\n\n");
let crashes = list_crash_files().await.unwrap_or_default();
if crashes.is_empty() {
out.push_str("_(no crash dumps on disk — nothing has crashed)_\n\n");
} else {
for c in crashes.iter().take(5) {
out.push_str(&format!(
"### `{}` ({} bytes)\n\n```\n{}\n```\n\n",
c.filename, c.size_bytes, c.preview
));
}
if crashes.len() > 5 {
out.push_str(&format!(
"_(plus {} older crash dumps in `{}`)_\n\n",
crashes.len() - 5,
crashes_dir().display()
));
}
}
}
if opts.include_log_tail {
out.push_str("## Log tail\n\n");
let log_path = logs_dir().join("kon.log");
match read_tail(&log_path, 8000) {
Ok(tail) if tail.is_empty() => {
out.push_str("_(log file empty or not yet written)_\n\n");
}
Ok(tail) => {
out.push_str("```\n");
out.push_str(&tail);
out.push_str("\n```\n\n");
}
Err(_) => out.push_str("_(no log file found)_\n\n"),
}
}
out.push_str("---\n\n");
out.push_str("Generated by Kon. To share, copy the entire markdown above \
and paste it into an email or issue. Email: jake@corbel.consulting.\n");
Ok(out)
}
/// Read the last `n_bytes` of a file as a UTF-8 string, lossy-decoded.
/// Used to show recent log content without loading huge files.
fn read_tail(path: &PathBuf, n_bytes: u64) -> std::io::Result<String> {
use std::io::{Read, Seek, SeekFrom};
let mut f = fs::File::open(path)?;
let len = f.metadata()?.len();
let start = len.saturating_sub(n_bytes);
f.seek(SeekFrom::Start(start))?;
let mut buf = Vec::new();
f.read_to_end(&mut buf)?;
Ok(String::from_utf8_lossy(&buf).to_string())
}
/// Write the report to a file and return the path. Lets the user save it
/// somewhere they can attach to an email.
#[tauri::command]
pub async fn save_diagnostic_report(
app: tauri::AppHandle,
state: tauri::State<'_, AppState>,
options: Option<ReportOptions>,
) -> Result<String, String> {
let _ = app; // reserved for future dialog integration
let report = generate_diagnostic_report(state, options).await?;
let dir = app_data_dir().join("diagnostic-reports");
fs::create_dir_all(&dir).map_err(|e| format!("create dir: {e}"))?;
let ts = SystemTime::now()
.duration_since(UNIX_EPOCH)
.map(|d| d.as_secs())
.unwrap_or(0);
let path = dir.join(format!("kon-diagnostic-{ts}.md"));
fs::write(&path, &report).map_err(|e| format!("write file: {e}"))?;
Ok(path.to_string_lossy().to_string())
}

1
src-tauri/src/commands/mod.rs
View File

@@ -1,5 +1,6 @@
pub mod audio;
pub mod clipboard;
pub mod diagnostics;
pub mod hardware;
pub mod hotkey;
pub mod live;

281
src-tauri/src/commands/models.rs
View File

@@ -1,8 +1,15 @@
use std::sync::Arc;
use serde::Serialize;
use tauri::Emitter;
use crate::AppState;
use kon_core::model_registry::{
self, Engine, LanguageSupport, ModelEntry,
};
use kon_core::types::ModelId;
use kon_transcription::model_manager;
use kon_transcription::{load_parakeet, load_whisper, LocalEngine};
/// Map legacy size strings to ModelId.
fn whisper_model_id(size: &str) -> ModelId {
@@ -22,6 +29,212 @@ fn parakeet_model_id(name: &str) -> ModelId {
}
}
fn engine_for_name(
state: &AppState,
engine_name: &str,
) -> Result<Arc<LocalEngine>, String> {
match engine_name {
"whisper" => Ok(state.whisper_engine.clone()),
"parakeet" => Ok(state.parakeet_engine.clone()),
other => Err(format!("Unknown engine: {other}")),
}
}
fn language_support_info(
language_support: LanguageSupport,
) -> LanguageSupportInfo {
match language_support {
LanguageSupport::EnglishOnly => LanguageSupportInfo {
kind: "english-only".into(),
language_count: 1,
},
LanguageSupport::Multilingual(count) => LanguageSupportInfo {
kind: "multilingual".into(),
language_count: count,
},
}
}
fn model_capability(
entry: &'static ModelEntry,
engine: &Arc<LocalEngine>,
) -> ModelRuntimeCapabilities {
let loaded_model_id = engine.loaded_model_id();
ModelRuntimeCapabilities {
id: entry.id.to_string(),
display_name: entry.display_name.to_string(),
downloaded: model_manager::is_downloaded(&entry.id),
loaded: loaded_model_id
.as_ref()
.map(|id| id == &entry.id)
.unwrap_or(false),
language_support: language_support_info(entry.languages),
}
}
fn load_model_from_disk(model_id: &ModelId) -> Result<kon_transcription::LoadedModel, String> {
let entry = model_registry::find_model(model_id)
.ok_or_else(|| format!("Unknown model: {model_id}"))?;
match entry.engine {
Engine::Whisper => {
let dir = model_manager::model_dir(model_id);
let model_file = entry
.files
.first()
.map(|file| dir.join(file.filename))
.ok_or_else(|| format!("No files registered for model: {model_id}"))?;
if !model_file.exists() {
return Err(format!("Model not downloaded: {model_id}"));
}
load_whisper(&model_file).map_err(|e| e.to_string())
}
Engine::Parakeet => {
let dir = model_manager::model_dir(model_id);
if !dir.exists() {
return Err(format!("Model not downloaded: {model_id}"));
}
load_parakeet(&dir).map_err(|e| e.to_string())
}
Engine::Moonshine => Err("Moonshine models are not yet supported in this build".into()),
}
}
pub fn default_model_id_for_engine(engine: &str) -> ModelId {
match engine {
"parakeet" => ModelId::new("parakeet-ctc-0.6b-int8"),
_ => ModelId::new("whisper-base-en"),
}
}
pub async fn ensure_model_loaded(
state: &AppState,
engine_name: &str,
model_id: &str,
) -> Result<(), String> {
let model_id = ModelId::new(model_id);
let entry = model_registry::find_model(&model_id)
.ok_or_else(|| format!("Unknown model: {model_id}"))?;
let expected_engine = match entry.engine {
Engine::Whisper => "whisper",
Engine::Parakeet => "parakeet",
Engine::Moonshine => "moonshine",
};
if expected_engine != engine_name {
return Err(format!(
"Model {} belongs to {}, not {}",
model_id, expected_engine, engine_name
));
}
if !model_manager::is_downloaded(&model_id) {
return Err(format!("Model not downloaded: {model_id}"));
}
let engine = engine_for_name(state, engine_name)?;
if engine
.loaded_model_id()
.as_ref()
.map(|loaded| loaded == &model_id)
.unwrap_or(false)
{
return Ok(());
}
let engine_clone = engine.clone();
let model_id_clone = model_id.clone();
tokio::task::spawn_blocking(move || {
let model = load_model_from_disk(&model_id_clone)?;
engine_clone.load(model, model_id_clone);
Ok::<_, String>(())
})
.await
.map_err(|e| e.to_string())??;
Ok(())
}
#[derive(Serialize)]
#[serde(rename_all = "camelCase")]
pub struct RuntimeCapabilities {
pub accelerators: Vec<String>,
pub engines: Vec<EngineRuntimeCapabilities>,
}
#[derive(Serialize)]
#[serde(rename_all = "camelCase")]
pub struct EngineRuntimeCapabilities {
pub id: String,
pub default_model_id: String,
pub loaded_model_id: Option<String>,
pub supports_gpu: bool,
pub models: Vec<ModelRuntimeCapabilities>,
}
#[derive(Serialize)]
#[serde(rename_all = "camelCase")]
pub struct ModelRuntimeCapabilities {
pub id: String,
pub display_name: String,
pub downloaded: bool,
pub loaded: bool,
pub language_support: LanguageSupportInfo,
}
#[derive(Serialize)]
#[serde(rename_all = "camelCase")]
pub struct LanguageSupportInfo {
pub kind: String,
pub language_count: u16,
}
#[tauri::command]
pub fn get_runtime_capabilities(
state: tauri::State<'_, AppState>,
) -> Result<RuntimeCapabilities, String> {
let whisper = state.whisper_engine.clone();
let parakeet = state.parakeet_engine.clone();
let whisper_models = model_registry::all_models()
.iter()
.filter(|entry| entry.engine == Engine::Whisper)
.map(|entry| model_capability(entry, &whisper))
.collect();
let parakeet_models = model_registry::all_models()
.iter()
.filter(|entry| entry.engine == Engine::Parakeet)
.map(|entry| model_capability(entry, &parakeet))
.collect();
Ok(RuntimeCapabilities {
// Current desktop build ships CPU-only inference backends.
accelerators: vec!["cpu".into()],
engines: vec![
EngineRuntimeCapabilities {
id: "whisper".into(),
default_model_id: default_model_id_for_engine("whisper")
.to_string(),
loaded_model_id: whisper
.loaded_model_id()
.map(|model_id| model_id.to_string()),
supports_gpu: false,
models: whisper_models,
},
EngineRuntimeCapabilities {
id: "parakeet".into(),
default_model_id: default_model_id_for_engine("parakeet")
.to_string(),
loaded_model_id: parakeet
.loaded_model_id()
.map(|model_id| model_id.to_string()),
supports_gpu: false,
models: parakeet_models,
},
],
})
}
// --- Whisper model commands ---
#[tauri::command]
@@ -51,14 +264,12 @@ pub fn list_models() -> Result<Vec<String>, String> {
Ok(ids
.into_iter()
.filter(|id| id.as_str().starts_with("whisper-"))
.map(|id| {
match id.as_str() {
"whisper-tiny-en" => "Tiny".to_string(),
"whisper-base-en" => "Base".to_string(),
"whisper-small-en" => "Small".to_string(),
"whisper-medium-en" => "Medium".to_string(),
other => other.to_string(),
}
.map(|id| match id.as_str() {
"whisper-tiny-en" => "Tiny".to_string(),
"whisper-base-en" => "Base".to_string(),
"whisper-small-en" => "Small".to_string(),
"whisper-medium-en" => "Medium".to_string(),
other => other.to_string(),
})
.collect())
}
@@ -69,31 +280,7 @@ pub async fn load_model(
size: String,
) -> Result<String, String> {
let id = whisper_model_id(&size);
let dir = model_manager::model_dir(&id);
let model_file = dir.join(
kon_core::model_registry::find_model(&id)
.ok_or_else(|| format!("Unknown model: {size}"))?
.files
.first()
.ok_or_else(|| format!("No files for model: {size}"))?
.filename,
);
if !model_file.exists() {
return Err(format!("Model not downloaded: {size}"));
}
let engine = state.whisper_engine.clone();
let mid = id.clone();
tokio::task::spawn_blocking(move || {
let model = kon_transcription::load_whisper(&model_file)
.map_err(|e| e.to_string())?;
engine.load(model, mid);
Ok::<_, String>(())
})
.await
.map_err(|e| e.to_string())??;
ensure_model_loaded(&state, "whisper", id.as_str()).await?;
Ok(format!("Model {} loaded", size))
}
@@ -131,11 +318,9 @@ pub fn list_parakeet_models() -> Result<Vec<String>, String> {
Ok(ids
.into_iter()
.filter(|id| id.as_str().starts_with("parakeet-"))
.map(|id| {
match id.as_str() {
"parakeet-ctc-0.6b-int8" => "ctc-int8".to_string(),
other => other.to_string(),
}
.map(|id| match id.as_str() {
"parakeet-ctc-0.6b-int8" => "ctc-int8".to_string(),
other => other.to_string(),
})
.collect())
}
@@ -146,29 +331,13 @@ pub async fn load_parakeet_model(
name: String,
) -> Result<String, String> {
let id = parakeet_model_id(&name);
let dir = model_manager::model_dir(&id);
if !dir.exists() {
return Err(format!("Parakeet model not downloaded: {name}"));
}
let engine = state.parakeet_engine.clone();
let mid = id.clone();
tokio::task::spawn_blocking(move || {
let model = kon_transcription::load_parakeet(&dir)
.map_err(|e| e.to_string())?;
engine.load(model, mid);
Ok::<_, String>(())
})
.await
.map_err(|e| e.to_string())??;
ensure_model_loaded(&state, "parakeet", id.as_str()).await?;
Ok(format!("Parakeet model {} loaded", name))
}
#[tauri::command]
pub fn check_parakeet_engine(
state: tauri::State<AppState>,
state: tauri::State<'_, AppState>,
) -> Result<bool, String> {
Ok(state.parakeet_engine.is_loaded())
}

24
src-tauri/src/commands/transcription.rs
View File

@@ -3,13 +3,26 @@
#![allow(clippy::too_many_arguments)]
use std::path::Path;
use std::sync::Arc;
use tauri::Emitter;
use crate::commands::models::{default_model_id_for_engine, ensure_model_loaded};
use crate::AppState;
use kon_ai_formatting::{post_process_segments, FormatMode, PostProcessOptions};
use kon_core::types::{Segment, TranscriptionOptions};
fn pick_engine(
state: &AppState,
engine: &str,
) -> Result<Arc<kon_transcription::LocalEngine>, String> {
match engine {
"whisper" => Ok(state.whisper_engine.clone()),
"parakeet" => Ok(state.parakeet_engine.clone()),
other => Err(format!("Unknown engine: {other}")),
}
}
/// Transcribe raw PCM f32 samples (Whisper). Emits "transcription-result" event.
#[tauri::command]
pub async fn transcribe_pcm(
@@ -69,6 +82,8 @@ pub async fn transcribe_pcm(
pub async fn transcribe_file(
state: tauri::State<'_, AppState>,
path: String,
engine: Option<String>,
model_id: Option<String>,
language: String,
initial_prompt: String,
remove_fillers: bool,
@@ -76,7 +91,12 @@ pub async fn transcribe_file(
anti_hallucination: bool,
format_mode: String,
) -> Result<serde_json::Value, String> {
let engine = state.whisper_engine.clone();
let engine_name = engine.unwrap_or_else(|| "whisper".to_string());
let model_id = model_id
.unwrap_or_else(|| default_model_id_for_engine(&engine_name).to_string());
ensure_model_loaded(&state, &engine_name, &model_id).await?;
let engine = pick_engine(&state, &engine_name)?;
let options = TranscriptionOptions {
language: Some(language),
initial_prompt: Some(initial_prompt),
@@ -106,6 +126,8 @@ pub async fn transcribe_file(
);
Ok(serde_json::json!({
"engine": engine_name,
"modelId": model_id,
"segments": segments,
"language": timed.transcript.language(),
"duration": timed.transcript.duration(),

10
src-tauri/src/lib.rs
View File

@@ -115,6 +115,10 @@ pub fn run() {
#[cfg(target_os = "linux")]
ensure_x11_on_wayland();
// Capture Rust panics to disk so the diagnostic-report bundler in
// Settings → About can attach them. Local only; nothing transmitted.
commands::diagnostics::install_panic_hook();
tauri::Builder::default()
.plugin(tauri_plugin_opener::init())
.plugin(tauri_plugin_dialog::init())
@@ -242,6 +246,12 @@ pub fn run() {
commands::transcripts::list_dictionary_command,
commands::transcripts::add_dictionary_entry_command,
commands::transcripts::delete_dictionary_entry_command,
// Diagnostics (panic + error capture, manual report bundle)
commands::diagnostics::log_frontend_error,
commands::diagnostics::list_recent_errors_command,
commands::diagnostics::list_crash_files,
commands::diagnostics::generate_diagnostic_report,
commands::diagnostics::save_diagnostic_report,
commands::live::start_live_transcription_session,
commands::live::stop_live_transcription_session,
// Windows