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