4609db7fdb
* add cohere * format * add appropriate translations * add chinese properly * 0.3.8 sentencepiece fix * update
1649 lines
64 KiB
Rust
1649 lines
64 KiB
Rust
use crate::settings::{get_settings, write_settings};
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use anyhow::Result;
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use flate2::read::GzDecoder;
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use futures_util::StreamExt;
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use log::{debug, info, warn};
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use serde::{Deserialize, Serialize};
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use sha2::{Digest, Sha256};
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use specta::Type;
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use std::collections::{HashMap, HashSet};
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use std::fs;
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use std::fs::File;
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use std::io::{Read, Write};
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use std::path::{Path, PathBuf};
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use std::sync::atomic::{AtomicBool, Ordering};
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use std::sync::{Arc, Mutex};
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use std::time::{Duration, Instant};
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use tar::Archive;
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use tauri::{AppHandle, Emitter, Manager};
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#[derive(Debug, Clone, Serialize, Deserialize, Type)]
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pub enum EngineType {
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Whisper,
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Parakeet,
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Moonshine,
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MoonshineStreaming,
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SenseVoice,
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GigaAM,
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Canary,
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Cohere,
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}
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#[derive(Debug, Clone, Serialize, Deserialize, Type)]
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pub struct ModelInfo {
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pub id: String,
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pub name: String,
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pub description: String,
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pub filename: String,
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pub url: Option<String>,
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pub sha256: Option<String>,
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pub size_mb: u64,
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pub is_downloaded: bool,
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pub is_downloading: bool,
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pub partial_size: u64,
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pub is_directory: bool,
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pub engine_type: EngineType,
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pub accuracy_score: f32, // 0.0 to 1.0, higher is more accurate
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pub speed_score: f32, // 0.0 to 1.0, higher is faster
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pub supports_translation: bool, // Whether the model supports translating to English
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pub is_recommended: bool, // Whether this is the recommended model for new users
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pub supported_languages: Vec<String>, // Languages this model can transcribe
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pub supports_language_selection: bool, // Whether the user can explicitly pick a language
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pub is_custom: bool, // Whether this is a user-provided custom model
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}
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#[derive(Debug, Clone, Serialize, Deserialize, Type)]
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pub struct DownloadProgress {
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pub model_id: String,
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pub downloaded: u64,
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pub total: u64,
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pub percentage: f64,
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}
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/// RAII guard that cleans up download state (`is_downloading` flag and cancel flag)
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/// when dropped, unless explicitly disarmed. This ensures consistent cleanup on
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/// every error path without requiring manual cleanup at each `?` or `return Err`.
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struct DownloadCleanup<'a> {
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available_models: &'a Mutex<HashMap<String, ModelInfo>>,
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cancel_flags: &'a Arc<Mutex<HashMap<String, Arc<AtomicBool>>>>,
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model_id: String,
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disarmed: bool,
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}
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impl<'a> Drop for DownloadCleanup<'a> {
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fn drop(&mut self) {
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if self.disarmed {
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return;
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}
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{
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let mut models = self.available_models.lock().unwrap();
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if let Some(model) = models.get_mut(self.model_id.as_str()) {
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model.is_downloading = false;
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}
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}
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self.cancel_flags.lock().unwrap().remove(&self.model_id);
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}
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}
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pub struct ModelManager {
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app_handle: AppHandle,
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models_dir: PathBuf,
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available_models: Mutex<HashMap<String, ModelInfo>>,
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cancel_flags: Arc<Mutex<HashMap<String, Arc<AtomicBool>>>>,
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extracting_models: Arc<Mutex<HashSet<String>>>,
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}
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impl ModelManager {
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pub fn new(app_handle: &AppHandle) -> Result<Self> {
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// Create models directory in app data
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let models_dir = crate::portable::app_data_dir(app_handle)
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.map_err(|e| anyhow::anyhow!("Failed to get app data dir: {}", e))?
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.join("models");
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if !models_dir.exists() {
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fs::create_dir_all(&models_dir)?;
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}
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let mut available_models = HashMap::new();
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// Whisper supported languages (99 languages from tokenizer)
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// Including zh-Hans and zh-Hant variants to match frontend language codes
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let whisper_languages: Vec<String> = vec![
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"en", "zh", "zh-Hans", "zh-Hant", "de", "es", "ru", "ko", "fr", "ja", "pt", "tr", "pl",
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"ca", "nl", "ar", "sv", "it", "id", "hi", "fi", "vi", "he", "uk", "el", "ms", "cs",
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"ro", "da", "hu", "ta", "no", "th", "ur", "hr", "bg", "lt", "la", "mi", "ml", "cy",
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"sk", "te", "fa", "lv", "bn", "sr", "az", "sl", "kn", "et", "mk", "br", "eu", "is",
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"hy", "ne", "mn", "bs", "kk", "sq", "sw", "gl", "mr", "pa", "si", "km", "sn", "yo",
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"so", "af", "oc", "ka", "be", "tg", "sd", "gu", "am", "yi", "lo", "uz", "fo", "ht",
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"ps", "tk", "nn", "mt", "sa", "lb", "my", "bo", "tl", "mg", "as", "tt", "haw", "ln",
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"ha", "ba", "jw", "su", "yue",
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]
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.into_iter()
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.map(String::from)
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.collect();
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// TODO this should be read from a JSON file or something..
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available_models.insert(
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"small".to_string(),
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ModelInfo {
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id: "small".to_string(),
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name: "Whisper Small".to_string(),
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description: "Fast and fairly accurate.".to_string(),
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filename: "ggml-small.bin".to_string(),
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url: Some("https://blob.handy.computer/ggml-small.bin".to_string()),
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sha256: Some(
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"1be3a9b2063867b937e64e2ec7483364a79917e157fa98c5d94b5c1fffea987b".to_string(),
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),
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size_mb: 465,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: false,
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engine_type: EngineType::Whisper,
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accuracy_score: 0.60,
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speed_score: 0.85,
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supports_translation: true,
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is_recommended: false,
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supported_languages: whisper_languages.clone(),
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supports_language_selection: true,
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is_custom: false,
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},
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);
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// Add downloadable models
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available_models.insert(
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"medium".to_string(),
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ModelInfo {
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id: "medium".to_string(),
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name: "Whisper Medium".to_string(),
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description: "Good accuracy, medium speed".to_string(),
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filename: "whisper-medium-q4_1.bin".to_string(),
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url: Some("https://blob.handy.computer/whisper-medium-q4_1.bin".to_string()),
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sha256: Some(
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"79283fc1f9fe12ca3248543fbd54b73292164d8df5a16e095e2bceeaaabddf57".to_string(),
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),
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size_mb: 469,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: false,
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engine_type: EngineType::Whisper,
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accuracy_score: 0.75,
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speed_score: 0.60,
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supports_translation: true,
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is_recommended: false,
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supported_languages: whisper_languages.clone(),
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supports_language_selection: true,
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is_custom: false,
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},
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);
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available_models.insert(
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"turbo".to_string(),
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ModelInfo {
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id: "turbo".to_string(),
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name: "Whisper Turbo".to_string(),
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description: "Balanced accuracy and speed.".to_string(),
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filename: "ggml-large-v3-turbo.bin".to_string(),
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url: Some("https://blob.handy.computer/ggml-large-v3-turbo.bin".to_string()),
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sha256: Some(
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"1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69".to_string(),
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),
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size_mb: 1549,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: false,
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engine_type: EngineType::Whisper,
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accuracy_score: 0.80,
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speed_score: 0.40,
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supports_translation: false, // Turbo doesn't support translation
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is_recommended: false,
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supported_languages: whisper_languages.clone(),
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supports_language_selection: true,
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is_custom: false,
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},
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);
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available_models.insert(
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"large".to_string(),
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ModelInfo {
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id: "large".to_string(),
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name: "Whisper Large".to_string(),
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description: "Good accuracy, but slow.".to_string(),
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filename: "ggml-large-v3-q5_0.bin".to_string(),
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url: Some("https://blob.handy.computer/ggml-large-v3-q5_0.bin".to_string()),
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sha256: Some(
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"d75795ecff3f83b5faa89d1900604ad8c780abd5739fae406de19f23ecd98ad1".to_string(),
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),
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size_mb: 1031,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: false,
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engine_type: EngineType::Whisper,
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accuracy_score: 0.85,
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speed_score: 0.30,
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supports_translation: true,
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is_recommended: false,
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supported_languages: whisper_languages.clone(),
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supports_language_selection: true,
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is_custom: false,
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},
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);
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available_models.insert(
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"breeze-asr".to_string(),
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ModelInfo {
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id: "breeze-asr".to_string(),
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name: "Breeze ASR".to_string(),
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description: "Optimized for Taiwanese Mandarin. Code-switching support."
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.to_string(),
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filename: "breeze-asr-q5_k.bin".to_string(),
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url: Some("https://blob.handy.computer/breeze-asr-q5_k.bin".to_string()),
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sha256: Some(
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"8efbf0ce8a3f50fe332b7617da787fb81354b358c288b008d3bdef8359df64c6".to_string(),
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),
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size_mb: 1030,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: false,
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engine_type: EngineType::Whisper,
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accuracy_score: 0.85,
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speed_score: 0.35,
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supports_translation: false,
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is_recommended: false,
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supported_languages: whisper_languages,
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supports_language_selection: true,
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is_custom: false,
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},
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);
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// Add NVIDIA Parakeet models (directory-based)
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available_models.insert(
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"parakeet-tdt-0.6b-v2".to_string(),
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ModelInfo {
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id: "parakeet-tdt-0.6b-v2".to_string(),
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name: "Parakeet V2".to_string(),
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description: "English only. The best model for English speakers.".to_string(),
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filename: "parakeet-tdt-0.6b-v2-int8".to_string(), // Directory name
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url: Some("https://blob.handy.computer/parakeet-v2-int8.tar.gz".to_string()),
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sha256: Some(
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"ac9b9429984dd565b25097337a887bb7f0f8ac393573661c651f0e7d31563991".to_string(),
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),
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size_mb: 451,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: true,
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engine_type: EngineType::Parakeet,
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accuracy_score: 0.85,
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speed_score: 0.85,
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supports_translation: false,
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is_recommended: false,
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supported_languages: vec!["en".to_string()],
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supports_language_selection: false,
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is_custom: false,
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},
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);
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// Parakeet V3 supported languages (25 EU languages + Russian/Ukrainian):
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// bg, hr, cs, da, nl, en, et, fi, fr, de, el, hu, it, lv, lt, mt, pl, pt, ro, sk, sl, es, sv, ru, uk
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let parakeet_v3_languages: Vec<String> = vec![
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"bg", "hr", "cs", "da", "nl", "en", "et", "fi", "fr", "de", "el", "hu", "it", "lv",
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"lt", "mt", "pl", "pt", "ro", "sk", "sl", "es", "sv", "ru", "uk",
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]
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.into_iter()
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.map(String::from)
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.collect();
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available_models.insert(
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"parakeet-tdt-0.6b-v3".to_string(),
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ModelInfo {
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id: "parakeet-tdt-0.6b-v3".to_string(),
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name: "Parakeet V3".to_string(),
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description: "Fast and accurate. Supports 25 European languages.".to_string(),
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filename: "parakeet-tdt-0.6b-v3-int8".to_string(), // Directory name
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url: Some("https://blob.handy.computer/parakeet-v3-int8.tar.gz".to_string()),
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sha256: Some(
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"43d37191602727524a7d8c6da0eef11c4ba24320f5b4730f1a2497befc2efa77".to_string(),
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),
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size_mb: 456,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: true,
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engine_type: EngineType::Parakeet,
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accuracy_score: 0.80,
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speed_score: 0.85,
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supports_translation: false,
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is_recommended: true,
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supported_languages: parakeet_v3_languages,
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supports_language_selection: false,
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is_custom: false,
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},
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);
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available_models.insert(
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"moonshine-base".to_string(),
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ModelInfo {
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id: "moonshine-base".to_string(),
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name: "Moonshine Base".to_string(),
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description: "Very fast, English only. Handles accents well.".to_string(),
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filename: "moonshine-base".to_string(),
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url: Some("https://blob.handy.computer/moonshine-base.tar.gz".to_string()),
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sha256: Some(
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"04bf6ab012cfceebd4ac7cf88c1b31d027bbdd3cd704649b692e2e935236b7e8".to_string(),
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),
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size_mb: 55,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: true,
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engine_type: EngineType::Moonshine,
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accuracy_score: 0.70,
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speed_score: 0.90,
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supports_translation: false,
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is_recommended: false,
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supported_languages: vec!["en".to_string()],
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supports_language_selection: false,
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is_custom: false,
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},
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);
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available_models.insert(
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"moonshine-tiny-streaming-en".to_string(),
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ModelInfo {
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id: "moonshine-tiny-streaming-en".to_string(),
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name: "Moonshine V2 Tiny".to_string(),
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description: "Ultra-fast, English only".to_string(),
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filename: "moonshine-tiny-streaming-en".to_string(),
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url: Some(
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"https://blob.handy.computer/moonshine-tiny-streaming-en.tar.gz".to_string(),
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),
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sha256: Some(
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"465addcfca9e86117415677dfdc98b21edc53537210333a3ecdb58509a80abaf".to_string(),
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),
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size_mb: 31,
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is_downloaded: false,
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is_downloading: false,
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partial_size: 0,
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is_directory: true,
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engine_type: EngineType::MoonshineStreaming,
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accuracy_score: 0.55,
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speed_score: 0.95,
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supports_translation: false,
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is_recommended: false,
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supported_languages: vec!["en".to_string()],
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supports_language_selection: false,
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is_custom: false,
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},
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);
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available_models.insert(
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"moonshine-small-streaming-en".to_string(),
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ModelInfo {
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id: "moonshine-small-streaming-en".to_string(),
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name: "Moonshine V2 Small".to_string(),
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description: "Fast, English only. Good balance of speed and accuracy.".to_string(),
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filename: "moonshine-small-streaming-en".to_string(),
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url: Some(
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"https://blob.handy.computer/moonshine-small-streaming-en.tar.gz".to_string(),
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),
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|
sha256: Some(
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"dbb3e1c1832bd88a4ac712f7449a136cc2c9a18c5fe33a12ed1b7cb1cfe9cdd5".to_string(),
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),
|
|
size_mb: 99,
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|
is_downloaded: false,
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|
is_downloading: false,
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|
partial_size: 0,
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|
is_directory: true,
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engine_type: EngineType::MoonshineStreaming,
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|
accuracy_score: 0.65,
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speed_score: 0.90,
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|
supports_translation: false,
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|
is_recommended: false,
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supported_languages: vec!["en".to_string()],
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supports_language_selection: false,
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|
is_custom: false,
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},
|
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);
|
|
|
|
available_models.insert(
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"moonshine-medium-streaming-en".to_string(),
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ModelInfo {
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id: "moonshine-medium-streaming-en".to_string(),
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name: "Moonshine V2 Medium".to_string(),
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description: "English only. High quality.".to_string(),
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filename: "moonshine-medium-streaming-en".to_string(),
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url: Some(
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"https://blob.handy.computer/moonshine-medium-streaming-en.tar.gz".to_string(),
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),
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sha256: Some(
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"07a66f3bff1c77e75a2f637e5a263928a08baae3c29c4c053fc968a9a9373d13".to_string(),
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),
|
|
size_mb: 192,
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|
is_downloaded: false,
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|
is_downloading: false,
|
|
partial_size: 0,
|
|
is_directory: true,
|
|
engine_type: EngineType::MoonshineStreaming,
|
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accuracy_score: 0.75,
|
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speed_score: 0.80,
|
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supports_translation: false,
|
|
is_recommended: false,
|
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supported_languages: vec!["en".to_string()],
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supports_language_selection: false,
|
|
is_custom: false,
|
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},
|
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);
|
|
|
|
// SenseVoice supported languages
|
|
let sense_voice_languages: Vec<String> =
|
|
vec!["zh", "zh-Hans", "zh-Hant", "en", "yue", "ja", "ko"]
|
|
.into_iter()
|
|
.map(String::from)
|
|
.collect();
|
|
|
|
available_models.insert(
|
|
"sense-voice-int8".to_string(),
|
|
ModelInfo {
|
|
id: "sense-voice-int8".to_string(),
|
|
name: "SenseVoice".to_string(),
|
|
description: "Very fast. Chinese, English, Japanese, Korean, Cantonese."
|
|
.to_string(),
|
|
filename: "sense-voice-int8".to_string(),
|
|
url: Some("https://blob.handy.computer/sense-voice-int8.tar.gz".to_string()),
|
|
sha256: Some(
|
|
"171d611fe5d353a50bbb741b6f3ef42559b1565685684e9aa888ef563ba3e8a4".to_string(),
|
|
),
|
|
size_mb: 152,
|
|
is_downloaded: false,
|
|
is_downloading: false,
|
|
partial_size: 0,
|
|
is_directory: true,
|
|
engine_type: EngineType::SenseVoice,
|
|
accuracy_score: 0.65,
|
|
speed_score: 0.95,
|
|
supports_translation: false,
|
|
is_recommended: false,
|
|
supported_languages: sense_voice_languages,
|
|
supports_language_selection: true,
|
|
is_custom: false,
|
|
},
|
|
);
|
|
|
|
// GigaAM v3 supported languages
|
|
let gigaam_languages: Vec<String> = vec!["ru"].into_iter().map(String::from).collect();
|
|
|
|
available_models.insert(
|
|
"gigaam-v3-e2e-ctc".to_string(),
|
|
ModelInfo {
|
|
id: "gigaam-v3-e2e-ctc".to_string(),
|
|
name: "GigaAM v3".to_string(),
|
|
description: "Russian speech recognition. Fast and accurate.".to_string(),
|
|
filename: "giga-am-v3-int8".to_string(),
|
|
url: Some("https://blob.handy.computer/giga-am-v3-int8.tar.gz".to_string()),
|
|
sha256: Some(
|
|
"d872462268430db140b69b72e0fc4b787b194c1dbe51b58de39444d55b6da45b".to_string(),
|
|
),
|
|
size_mb: 151,
|
|
is_downloaded: false,
|
|
is_downloading: false,
|
|
partial_size: 0,
|
|
is_directory: true,
|
|
engine_type: EngineType::GigaAM,
|
|
accuracy_score: 0.85,
|
|
speed_score: 0.75,
|
|
supports_translation: false,
|
|
is_recommended: false,
|
|
supported_languages: gigaam_languages,
|
|
supports_language_selection: false,
|
|
is_custom: false,
|
|
},
|
|
);
|
|
|
|
// Canary 180m Flash supported languages (4 languages)
|
|
let canary_flash_languages: Vec<String> = vec!["en", "de", "es", "fr"]
|
|
.into_iter()
|
|
.map(String::from)
|
|
.collect();
|
|
|
|
available_models.insert(
|
|
"canary-180m-flash".to_string(),
|
|
ModelInfo {
|
|
id: "canary-180m-flash".to_string(),
|
|
name: "Canary 180M Flash".to_string(),
|
|
description: "Very fast. English, German, Spanish, French. Supports translation."
|
|
.to_string(),
|
|
filename: "canary-180m-flash".to_string(),
|
|
url: Some("https://blob.handy.computer/canary-180m-flash.tar.gz".to_string()),
|
|
sha256: Some(
|
|
"6d9cfca6118b296e196eaedc1c8fa9788305a7b0f1feafdb6dc91932ab6e53f7".to_string(),
|
|
),
|
|
size_mb: 146,
|
|
is_downloaded: false,
|
|
is_downloading: false,
|
|
partial_size: 0,
|
|
is_directory: true,
|
|
engine_type: EngineType::Canary,
|
|
accuracy_score: 0.75,
|
|
speed_score: 0.85,
|
|
supports_translation: true,
|
|
is_recommended: false,
|
|
supported_languages: canary_flash_languages,
|
|
supports_language_selection: true,
|
|
is_custom: false,
|
|
},
|
|
);
|
|
|
|
// Canary 1B v2 supported languages (25 EU languages)
|
|
let canary_1b_languages: Vec<String> = vec![
|
|
"bg", "hr", "cs", "da", "nl", "en", "et", "fi", "fr", "de", "el", "hu", "it", "lv",
|
|
"lt", "mt", "pl", "pt", "ro", "sk", "sl", "es", "sv", "ru", "uk",
|
|
]
|
|
.into_iter()
|
|
.map(String::from)
|
|
.collect();
|
|
|
|
available_models.insert(
|
|
"canary-1b-v2".to_string(),
|
|
ModelInfo {
|
|
id: "canary-1b-v2".to_string(),
|
|
name: "Canary 1B v2".to_string(),
|
|
description: "Accurate multilingual. 25 European languages. Supports translation."
|
|
.to_string(),
|
|
filename: "canary-1b-v2".to_string(),
|
|
url: Some("https://blob.handy.computer/canary-1b-v2.tar.gz".to_string()),
|
|
sha256: Some(
|
|
"02305b2a25f9cf3e7deaffa7f94df00efa44f442cd55c101c2cb9c000f904666".to_string(),
|
|
),
|
|
size_mb: 691,
|
|
is_downloaded: false,
|
|
is_downloading: false,
|
|
partial_size: 0,
|
|
is_directory: true,
|
|
engine_type: EngineType::Canary,
|
|
accuracy_score: 0.85,
|
|
speed_score: 0.70,
|
|
supports_translation: true,
|
|
is_recommended: false,
|
|
supported_languages: canary_1b_languages,
|
|
supports_language_selection: true,
|
|
is_custom: false,
|
|
},
|
|
);
|
|
|
|
let cohere_languages: Vec<String> = vec![
|
|
"en", "fr", "de", "it", "es", "pt", "el", "nl", "pl", "zh", "zh-Hans", "zh-Hant", "ja",
|
|
"ko", "vi", "ar",
|
|
]
|
|
.into_iter()
|
|
.map(String::from)
|
|
.collect();
|
|
|
|
available_models.insert(
|
|
"cohere-int8".to_string(),
|
|
ModelInfo {
|
|
id: "cohere-int8".to_string(),
|
|
name: "Cohere".to_string(),
|
|
description: "A large, slower, but very accurate multilingual model.".to_string(),
|
|
filename: "cohere-int8".to_string(),
|
|
url: Some("https://blob.handy.computer/cohere-int8.tar.gz".to_string()),
|
|
sha256: Some(
|
|
"ea2257d52434f3644574f187dcdcf666e302cd11b92866116ab8e14cd9c887f0".to_string(),
|
|
),
|
|
size_mb: 1708,
|
|
is_downloaded: false,
|
|
is_downloading: false,
|
|
partial_size: 0,
|
|
is_directory: true,
|
|
engine_type: EngineType::Cohere,
|
|
accuracy_score: 0.90,
|
|
speed_score: 0.60,
|
|
supports_translation: false,
|
|
is_recommended: false,
|
|
supported_languages: cohere_languages,
|
|
supports_language_selection: true,
|
|
is_custom: false,
|
|
},
|
|
);
|
|
|
|
// Auto-discover custom Whisper models (.bin files) in the models directory
|
|
if let Err(e) = Self::discover_custom_whisper_models(&models_dir, &mut available_models) {
|
|
warn!("Failed to discover custom models: {}", e);
|
|
}
|
|
|
|
let manager = Self {
|
|
app_handle: app_handle.clone(),
|
|
models_dir,
|
|
available_models: Mutex::new(available_models),
|
|
cancel_flags: Arc::new(Mutex::new(HashMap::new())),
|
|
extracting_models: Arc::new(Mutex::new(HashSet::new())),
|
|
};
|
|
|
|
// Migrate any bundled models to user directory
|
|
manager.migrate_bundled_models()?;
|
|
|
|
// Migrate GigaAM from single-file to directory format
|
|
manager.migrate_gigaam_to_directory()?;
|
|
|
|
// Check which models are already downloaded
|
|
manager.update_download_status()?;
|
|
|
|
// Auto-select a model if none is currently selected
|
|
manager.auto_select_model_if_needed()?;
|
|
|
|
Ok(manager)
|
|
}
|
|
|
|
pub fn get_available_models(&self) -> Vec<ModelInfo> {
|
|
let models = self.available_models.lock().unwrap();
|
|
models.values().cloned().collect()
|
|
}
|
|
|
|
pub fn get_model_info(&self, model_id: &str) -> Option<ModelInfo> {
|
|
let models = self.available_models.lock().unwrap();
|
|
models.get(model_id).cloned()
|
|
}
|
|
|
|
fn migrate_bundled_models(&self) -> Result<()> {
|
|
// Check for bundled models and copy them to user directory
|
|
let bundled_models = ["ggml-small.bin"]; // Add other bundled models here if any
|
|
|
|
for filename in &bundled_models {
|
|
let bundled_path = self.app_handle.path().resolve(
|
|
&format!("resources/models/{}", filename),
|
|
tauri::path::BaseDirectory::Resource,
|
|
);
|
|
|
|
if let Ok(bundled_path) = bundled_path {
|
|
if bundled_path.exists() {
|
|
let user_path = self.models_dir.join(filename);
|
|
|
|
// Only copy if user doesn't already have the model
|
|
if !user_path.exists() {
|
|
info!("Migrating bundled model {} to user directory", filename);
|
|
fs::copy(&bundled_path, &user_path)?;
|
|
info!("Successfully migrated {}", filename);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
Ok(())
|
|
}
|
|
|
|
/// Migrate GigaAM from the old single-file format (giga-am-v3.int8.onnx)
|
|
/// to the new directory format (giga-am-v3-int8/model.int8.onnx + vocab.txt).
|
|
/// This was required by the transcribe-rs 0.3.x upgrade.
|
|
fn migrate_gigaam_to_directory(&self) -> Result<()> {
|
|
let old_file = self.models_dir.join("giga-am-v3.int8.onnx");
|
|
let new_dir = self.models_dir.join("giga-am-v3-int8");
|
|
|
|
if !old_file.exists() || new_dir.exists() {
|
|
return Ok(());
|
|
}
|
|
|
|
info!("Migrating GigaAM from single-file to directory format");
|
|
|
|
let vocab_path = self
|
|
.app_handle
|
|
.path()
|
|
.resolve(
|
|
"resources/models/gigaam_vocab.txt",
|
|
tauri::path::BaseDirectory::Resource,
|
|
)
|
|
.map_err(|e| anyhow::anyhow!("Failed to resolve GigaAM vocab path: {}", e))?;
|
|
|
|
info!(
|
|
"Resolved vocab path: {:?} (exists: {})",
|
|
vocab_path,
|
|
vocab_path.exists()
|
|
);
|
|
info!("Old file: {:?} (exists: {})", old_file, old_file.exists());
|
|
info!("New dir: {:?} (exists: {})", new_dir, new_dir.exists());
|
|
|
|
fs::create_dir_all(&new_dir)?;
|
|
fs::rename(&old_file, new_dir.join("model.int8.onnx"))?;
|
|
fs::copy(&vocab_path, new_dir.join("vocab.txt"))?;
|
|
|
|
// Clean up old partial file if it exists
|
|
let old_partial = self.models_dir.join("giga-am-v3.int8.onnx.partial");
|
|
if old_partial.exists() {
|
|
let _ = fs::remove_file(&old_partial);
|
|
}
|
|
|
|
info!("GigaAM migration complete");
|
|
Ok(())
|
|
}
|
|
|
|
fn update_download_status(&self) -> Result<()> {
|
|
let mut models = self.available_models.lock().unwrap();
|
|
|
|
for model in models.values_mut() {
|
|
if model.is_directory {
|
|
// For directory-based models, check if the directory exists
|
|
let model_path = self.models_dir.join(&model.filename);
|
|
let partial_path = self.models_dir.join(format!("{}.partial", &model.filename));
|
|
let extracting_path = self
|
|
.models_dir
|
|
.join(format!("{}.extracting", &model.filename));
|
|
|
|
// Clean up any leftover .extracting directories from interrupted extractions
|
|
// But only if this model is NOT currently being extracted
|
|
let is_currently_extracting = {
|
|
let extracting = self.extracting_models.lock().unwrap();
|
|
extracting.contains(&model.id)
|
|
};
|
|
if extracting_path.exists() && !is_currently_extracting {
|
|
warn!("Cleaning up interrupted extraction for model: {}", model.id);
|
|
let _ = fs::remove_dir_all(&extracting_path);
|
|
}
|
|
|
|
model.is_downloaded = model_path.exists() && model_path.is_dir();
|
|
model.is_downloading = false;
|
|
|
|
// Get partial file size if it exists (for the .tar.gz being downloaded)
|
|
if partial_path.exists() {
|
|
model.partial_size = partial_path.metadata().map(|m| m.len()).unwrap_or(0);
|
|
} else {
|
|
model.partial_size = 0;
|
|
}
|
|
} else {
|
|
// For file-based models (existing logic)
|
|
let model_path = self.models_dir.join(&model.filename);
|
|
let partial_path = self.models_dir.join(format!("{}.partial", &model.filename));
|
|
|
|
model.is_downloaded = model_path.exists();
|
|
model.is_downloading = false;
|
|
|
|
// Get partial file size if it exists
|
|
if partial_path.exists() {
|
|
model.partial_size = partial_path.metadata().map(|m| m.len()).unwrap_or(0);
|
|
} else {
|
|
model.partial_size = 0;
|
|
}
|
|
}
|
|
}
|
|
|
|
Ok(())
|
|
}
|
|
|
|
fn auto_select_model_if_needed(&self) -> Result<()> {
|
|
let mut settings = get_settings(&self.app_handle);
|
|
|
|
// Clear stale selection: selected model is set but doesn't exist
|
|
// in available_models (e.g. deleted custom model file)
|
|
if !settings.selected_model.is_empty() {
|
|
let models = self.available_models.lock().unwrap();
|
|
let exists = models.contains_key(&settings.selected_model);
|
|
drop(models);
|
|
|
|
if !exists {
|
|
info!(
|
|
"Selected model '{}' not found in available models, clearing selection",
|
|
settings.selected_model
|
|
);
|
|
settings.selected_model = String::new();
|
|
write_settings(&self.app_handle, settings.clone());
|
|
}
|
|
}
|
|
|
|
// If no model is selected, pick the first downloaded one
|
|
if settings.selected_model.is_empty() {
|
|
// Find the first available (downloaded) model
|
|
let models = self.available_models.lock().unwrap();
|
|
if let Some(available_model) = models.values().find(|model| model.is_downloaded) {
|
|
info!(
|
|
"Auto-selecting model: {} ({})",
|
|
available_model.id, available_model.name
|
|
);
|
|
|
|
// Update settings with the selected model
|
|
let mut updated_settings = settings;
|
|
updated_settings.selected_model = available_model.id.clone();
|
|
write_settings(&self.app_handle, updated_settings);
|
|
|
|
info!("Successfully auto-selected model: {}", available_model.id);
|
|
}
|
|
}
|
|
|
|
Ok(())
|
|
}
|
|
|
|
/// Discover custom Whisper models (.bin files) in the models directory.
|
|
/// Skips files that match predefined model filenames.
|
|
fn discover_custom_whisper_models(
|
|
models_dir: &Path,
|
|
available_models: &mut HashMap<String, ModelInfo>,
|
|
) -> Result<()> {
|
|
if !models_dir.exists() {
|
|
return Ok(());
|
|
}
|
|
|
|
// Collect filenames of predefined Whisper file-based models to skip
|
|
let predefined_filenames: HashSet<String> = available_models
|
|
.values()
|
|
.filter(|m| matches!(m.engine_type, EngineType::Whisper) && !m.is_directory)
|
|
.map(|m| m.filename.clone())
|
|
.collect();
|
|
|
|
// Scan models directory for .bin files
|
|
for entry in fs::read_dir(models_dir)? {
|
|
let entry = match entry {
|
|
Ok(e) => e,
|
|
Err(e) => {
|
|
warn!("Failed to read directory entry: {}", e);
|
|
continue;
|
|
}
|
|
};
|
|
|
|
let path = entry.path();
|
|
|
|
// Only process .bin files (not directories)
|
|
if !path.is_file() {
|
|
continue;
|
|
}
|
|
|
|
let filename = match path.file_name().and_then(|s| s.to_str()) {
|
|
Some(name) => name.to_string(),
|
|
None => continue,
|
|
};
|
|
|
|
// Skip hidden files
|
|
if filename.starts_with('.') {
|
|
continue;
|
|
}
|
|
|
|
// Only process .bin files (Whisper GGML format).
|
|
// This also excludes .partial downloads (e.g., "model.bin.partial").
|
|
// If we add discovery for other formats, add a .partial check before this filter.
|
|
if !filename.ends_with(".bin") {
|
|
continue;
|
|
}
|
|
|
|
// Skip predefined model files
|
|
if predefined_filenames.contains(&filename) {
|
|
continue;
|
|
}
|
|
|
|
// Generate model ID from filename (remove .bin extension)
|
|
let model_id = filename.trim_end_matches(".bin").to_string();
|
|
|
|
// Skip if model ID already exists (shouldn't happen, but be safe)
|
|
if available_models.contains_key(&model_id) {
|
|
continue;
|
|
}
|
|
|
|
// Generate display name: replace - and _ with space, capitalize words
|
|
let display_name = model_id
|
|
.replace(['-', '_'], " ")
|
|
.split_whitespace()
|
|
.map(|word| {
|
|
let mut chars = word.chars();
|
|
match chars.next() {
|
|
None => String::new(),
|
|
Some(first) => first.to_uppercase().collect::<String>() + chars.as_str(),
|
|
}
|
|
})
|
|
.collect::<Vec<_>>()
|
|
.join(" ");
|
|
|
|
// Get file size in MB
|
|
let size_mb = match path.metadata() {
|
|
Ok(meta) => meta.len() / (1024 * 1024),
|
|
Err(e) => {
|
|
warn!("Failed to get metadata for {}: {}", filename, e);
|
|
0
|
|
}
|
|
};
|
|
|
|
info!(
|
|
"Discovered custom Whisper model: {} ({}, {} MB)",
|
|
model_id, filename, size_mb
|
|
);
|
|
|
|
available_models.insert(
|
|
model_id.clone(),
|
|
ModelInfo {
|
|
id: model_id,
|
|
name: display_name,
|
|
description: "Not officially supported".to_string(),
|
|
filename,
|
|
url: None, // Custom models have no download URL
|
|
sha256: None, // Custom models skip verification
|
|
size_mb,
|
|
is_downloaded: true, // Already present on disk
|
|
is_downloading: false,
|
|
partial_size: 0,
|
|
is_directory: false,
|
|
engine_type: EngineType::Whisper,
|
|
accuracy_score: 0.0, // Sentinel: UI hides score bars when both are 0
|
|
speed_score: 0.0,
|
|
supports_translation: false,
|
|
is_recommended: false,
|
|
supported_languages: vec![],
|
|
supports_language_selection: true,
|
|
is_custom: true,
|
|
},
|
|
);
|
|
}
|
|
|
|
Ok(())
|
|
}
|
|
|
|
/// Verifies the SHA256 of `path` against `expected_sha256` (if provided).
|
|
/// On mismatch or read error the partial file is deleted and an error is returned,
|
|
/// so the next download attempt always starts from a clean state.
|
|
/// When `expected_sha256` is `None` (custom user models) verification is skipped.
|
|
fn verify_sha256(path: &Path, expected_sha256: Option<&str>, model_id: &str) -> Result<()> {
|
|
let Some(expected) = expected_sha256 else {
|
|
return Ok(());
|
|
};
|
|
match Self::compute_sha256(path) {
|
|
Ok(actual) if actual == expected => {
|
|
info!("SHA256 verified for model {}", model_id);
|
|
Ok(())
|
|
}
|
|
Ok(actual) => {
|
|
warn!(
|
|
"SHA256 mismatch for model {}: expected {}, got {}",
|
|
model_id, expected, actual
|
|
);
|
|
let _ = fs::remove_file(path);
|
|
Err(anyhow::anyhow!(
|
|
"Download verification failed for model {}: file is corrupt. Please retry.",
|
|
model_id
|
|
))
|
|
}
|
|
Err(e) => {
|
|
let _ = fs::remove_file(path);
|
|
Err(anyhow::anyhow!(
|
|
"Failed to verify download for model {}: {}. Please retry.",
|
|
model_id,
|
|
e
|
|
))
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Computes the SHA256 hex digest of a file, reading in 64KB chunks to handle large models.
|
|
fn compute_sha256(path: &Path) -> Result<String> {
|
|
let mut file = File::open(path)?;
|
|
let mut hasher = Sha256::new();
|
|
let mut buffer = [0u8; 65536];
|
|
loop {
|
|
let n = file.read(&mut buffer)?;
|
|
if n == 0 {
|
|
break;
|
|
}
|
|
hasher.update(&buffer[..n]);
|
|
}
|
|
Ok(format!("{:x}", hasher.finalize()))
|
|
}
|
|
|
|
pub async fn download_model(&self, model_id: &str) -> Result<()> {
|
|
let model_info = {
|
|
let models = self.available_models.lock().unwrap();
|
|
models.get(model_id).cloned()
|
|
};
|
|
|
|
let model_info =
|
|
model_info.ok_or_else(|| anyhow::anyhow!("Model not found: {}", model_id))?;
|
|
|
|
let url = model_info
|
|
.url
|
|
.ok_or_else(|| anyhow::anyhow!("No download URL for model"))?;
|
|
let model_path = self.models_dir.join(&model_info.filename);
|
|
let partial_path = self
|
|
.models_dir
|
|
.join(format!("{}.partial", &model_info.filename));
|
|
|
|
// Don't download if complete version already exists
|
|
if model_path.exists() {
|
|
// Clean up any partial file that might exist
|
|
if partial_path.exists() {
|
|
let _ = fs::remove_file(&partial_path);
|
|
}
|
|
self.update_download_status()?;
|
|
return Ok(());
|
|
}
|
|
|
|
// Check if we have a partial download to resume
|
|
let mut resume_from = if partial_path.exists() {
|
|
let size = partial_path.metadata()?.len();
|
|
info!("Resuming download of model {} from byte {}", model_id, size);
|
|
size
|
|
} else {
|
|
info!("Starting fresh download of model {} from {}", model_id, url);
|
|
0
|
|
};
|
|
|
|
// Mark as downloading
|
|
{
|
|
let mut models = self.available_models.lock().unwrap();
|
|
if let Some(model) = models.get_mut(model_id) {
|
|
model.is_downloading = true;
|
|
}
|
|
}
|
|
|
|
// Create cancellation flag for this download
|
|
let cancel_flag = Arc::new(AtomicBool::new(false));
|
|
{
|
|
let mut flags = self.cancel_flags.lock().unwrap();
|
|
flags.insert(model_id.to_string(), cancel_flag.clone());
|
|
}
|
|
|
|
// Guard ensures is_downloading and cancel_flags are cleaned up on every
|
|
// error path. Disarmed only on success (which sets is_downloaded = true).
|
|
let mut cleanup = DownloadCleanup {
|
|
available_models: &self.available_models,
|
|
cancel_flags: &self.cancel_flags,
|
|
model_id: model_id.to_string(),
|
|
disarmed: false,
|
|
};
|
|
|
|
// Create HTTP client with range request for resuming
|
|
let client = reqwest::Client::new();
|
|
let mut request = client.get(&url);
|
|
|
|
if resume_from > 0 {
|
|
request = request.header("Range", format!("bytes={}-", resume_from));
|
|
}
|
|
|
|
let mut response = request.send().await?;
|
|
|
|
// If we tried to resume but server returned 200 (not 206 Partial Content),
|
|
// the server doesn't support range requests. Delete partial file and restart
|
|
// fresh to avoid file corruption (appending full file to partial).
|
|
if resume_from > 0 && response.status() == reqwest::StatusCode::OK {
|
|
warn!(
|
|
"Server doesn't support range requests for model {}, restarting download",
|
|
model_id
|
|
);
|
|
drop(response);
|
|
let _ = fs::remove_file(&partial_path);
|
|
|
|
// Reset resume_from since we're starting fresh
|
|
resume_from = 0;
|
|
|
|
// Restart download without range header
|
|
response = client.get(&url).send().await?;
|
|
}
|
|
|
|
// Check for success or partial content status
|
|
if !response.status().is_success()
|
|
&& response.status() != reqwest::StatusCode::PARTIAL_CONTENT
|
|
{
|
|
return Err(anyhow::anyhow!(
|
|
"Failed to download model: HTTP {}",
|
|
response.status()
|
|
));
|
|
}
|
|
|
|
let total_size = if resume_from > 0 {
|
|
// For resumed downloads, add the resume point to content length
|
|
resume_from + response.content_length().unwrap_or(0)
|
|
} else {
|
|
response.content_length().unwrap_or(0)
|
|
};
|
|
|
|
let mut downloaded = resume_from;
|
|
let mut stream = response.bytes_stream();
|
|
|
|
// Open file for appending if resuming, or create new if starting fresh
|
|
let mut file = if resume_from > 0 {
|
|
std::fs::OpenOptions::new()
|
|
.create(true)
|
|
.append(true)
|
|
.open(&partial_path)?
|
|
} else {
|
|
std::fs::File::create(&partial_path)?
|
|
};
|
|
|
|
// Emit initial progress
|
|
let initial_progress = DownloadProgress {
|
|
model_id: model_id.to_string(),
|
|
downloaded,
|
|
total: total_size,
|
|
percentage: if total_size > 0 {
|
|
(downloaded as f64 / total_size as f64) * 100.0
|
|
} else {
|
|
0.0
|
|
},
|
|
};
|
|
let _ = self
|
|
.app_handle
|
|
.emit("model-download-progress", &initial_progress);
|
|
|
|
// Throttle progress events to max 10/sec (100ms intervals)
|
|
let mut last_emit = Instant::now();
|
|
let throttle_duration = Duration::from_millis(100);
|
|
|
|
// Download with progress
|
|
while let Some(chunk) = stream.next().await {
|
|
// Check if download was cancelled
|
|
if cancel_flag.load(Ordering::Relaxed) {
|
|
drop(file);
|
|
info!("Download cancelled for: {}", model_id);
|
|
// Keep partial file for resume functionality.
|
|
// Guard handles is_downloading + cancel_flags cleanup on drop.
|
|
return Ok(());
|
|
}
|
|
|
|
let chunk = chunk?;
|
|
|
|
file.write_all(&chunk)?;
|
|
downloaded += chunk.len() as u64;
|
|
|
|
let percentage = if total_size > 0 {
|
|
(downloaded as f64 / total_size as f64) * 100.0
|
|
} else {
|
|
0.0
|
|
};
|
|
|
|
// Emit progress event (throttled to avoid UI freeze)
|
|
if last_emit.elapsed() >= throttle_duration {
|
|
let progress = DownloadProgress {
|
|
model_id: model_id.to_string(),
|
|
downloaded,
|
|
total: total_size,
|
|
percentage,
|
|
};
|
|
let _ = self.app_handle.emit("model-download-progress", &progress);
|
|
last_emit = Instant::now();
|
|
}
|
|
}
|
|
|
|
// Emit final progress to ensure 100% is shown
|
|
let final_progress = DownloadProgress {
|
|
model_id: model_id.to_string(),
|
|
downloaded,
|
|
total: total_size,
|
|
percentage: if total_size > 0 {
|
|
(downloaded as f64 / total_size as f64) * 100.0
|
|
} else {
|
|
100.0
|
|
},
|
|
};
|
|
let _ = self
|
|
.app_handle
|
|
.emit("model-download-progress", &final_progress);
|
|
|
|
file.flush()?;
|
|
drop(file); // Ensure file is closed before moving
|
|
|
|
// Verify downloaded file size matches expected size
|
|
if total_size > 0 {
|
|
let actual_size = partial_path.metadata()?.len();
|
|
if actual_size != total_size {
|
|
// Download is incomplete/corrupted - delete partial and return error
|
|
let _ = fs::remove_file(&partial_path);
|
|
return Err(anyhow::anyhow!(
|
|
"Download incomplete: expected {} bytes, got {} bytes",
|
|
total_size,
|
|
actual_size
|
|
));
|
|
}
|
|
}
|
|
|
|
// Verify SHA256 checksum. Runs in a blocking thread so the async executor is not
|
|
// stalled while hashing large model files (up to 1.6 GB). On failure the partial
|
|
// is deleted inside verify_sha256 so the next attempt always starts fresh.
|
|
let _ = self.app_handle.emit("model-verification-started", model_id);
|
|
info!("Verifying SHA256 for model {}...", model_id);
|
|
let verify_path = partial_path.clone();
|
|
let verify_expected = model_info.sha256.clone();
|
|
let verify_model_id = model_id.to_string();
|
|
let verify_result = tokio::task::spawn_blocking(move || {
|
|
Self::verify_sha256(&verify_path, verify_expected.as_deref(), &verify_model_id)
|
|
})
|
|
.await
|
|
.map_err(|e| anyhow::anyhow!("SHA256 task panicked: {}", e))?;
|
|
verify_result?;
|
|
let _ = self
|
|
.app_handle
|
|
.emit("model-verification-completed", model_id);
|
|
|
|
// Handle directory-based models (extract tar.gz) vs file-based models
|
|
if model_info.is_directory {
|
|
// Track that this model is being extracted
|
|
{
|
|
let mut extracting = self.extracting_models.lock().unwrap();
|
|
extracting.insert(model_id.to_string());
|
|
}
|
|
|
|
// Emit extraction started event
|
|
let _ = self.app_handle.emit("model-extraction-started", model_id);
|
|
info!("Extracting archive for directory-based model: {}", model_id);
|
|
|
|
// Use a temporary extraction directory to ensure atomic operations
|
|
let temp_extract_dir = self
|
|
.models_dir
|
|
.join(format!("{}.extracting", &model_info.filename));
|
|
let final_model_dir = self.models_dir.join(&model_info.filename);
|
|
|
|
// Clean up any previous incomplete extraction
|
|
if temp_extract_dir.exists() {
|
|
let _ = fs::remove_dir_all(&temp_extract_dir);
|
|
}
|
|
|
|
// Create temporary extraction directory
|
|
fs::create_dir_all(&temp_extract_dir)?;
|
|
|
|
// Open the downloaded tar.gz file
|
|
let tar_gz = File::open(&partial_path)?;
|
|
let tar = GzDecoder::new(tar_gz);
|
|
let mut archive = Archive::new(tar);
|
|
|
|
// Extract to the temporary directory first
|
|
archive.unpack(&temp_extract_dir).map_err(|e| {
|
|
let error_msg = format!("Failed to extract archive: {}", e);
|
|
// Clean up failed extraction
|
|
let _ = fs::remove_dir_all(&temp_extract_dir);
|
|
// Delete the corrupt partial file so the next download attempt starts fresh
|
|
// instead of resuming from a broken archive (issue #858).
|
|
let _ = fs::remove_file(&partial_path);
|
|
// Remove from extracting set
|
|
{
|
|
let mut extracting = self.extracting_models.lock().unwrap();
|
|
extracting.remove(model_id);
|
|
}
|
|
let _ = self.app_handle.emit(
|
|
"model-extraction-failed",
|
|
&serde_json::json!({
|
|
"model_id": model_id,
|
|
"error": error_msg
|
|
}),
|
|
);
|
|
anyhow::anyhow!(error_msg)
|
|
})?;
|
|
|
|
// Find the actual extracted directory (archive might have a nested structure)
|
|
let extracted_dirs: Vec<_> = fs::read_dir(&temp_extract_dir)?
|
|
.filter_map(|entry| entry.ok())
|
|
.filter(|entry| entry.file_type().map(|ft| ft.is_dir()).unwrap_or(false))
|
|
.collect();
|
|
|
|
if extracted_dirs.len() == 1 {
|
|
// Single directory extracted, move it to the final location
|
|
let source_dir = extracted_dirs[0].path();
|
|
if final_model_dir.exists() {
|
|
fs::remove_dir_all(&final_model_dir)?;
|
|
}
|
|
fs::rename(&source_dir, &final_model_dir)?;
|
|
// Clean up temp directory
|
|
let _ = fs::remove_dir_all(&temp_extract_dir);
|
|
} else {
|
|
// Multiple items or no directories, rename the temp directory itself
|
|
if final_model_dir.exists() {
|
|
fs::remove_dir_all(&final_model_dir)?;
|
|
}
|
|
fs::rename(&temp_extract_dir, &final_model_dir)?;
|
|
}
|
|
|
|
info!("Successfully extracted archive for model: {}", model_id);
|
|
// Remove from extracting set
|
|
{
|
|
let mut extracting = self.extracting_models.lock().unwrap();
|
|
extracting.remove(model_id);
|
|
}
|
|
// Emit extraction completed event
|
|
let _ = self.app_handle.emit("model-extraction-completed", model_id);
|
|
|
|
// Remove the downloaded tar.gz file
|
|
let _ = fs::remove_file(&partial_path);
|
|
} else {
|
|
// Move partial file to final location for file-based models
|
|
fs::rename(&partial_path, &model_path)?;
|
|
}
|
|
|
|
// Disarm the guard — success path does its own cleanup because it
|
|
// additionally sets is_downloaded = true.
|
|
cleanup.disarmed = true;
|
|
{
|
|
let mut models = self.available_models.lock().unwrap();
|
|
if let Some(model) = models.get_mut(model_id) {
|
|
model.is_downloading = false;
|
|
model.is_downloaded = true;
|
|
model.partial_size = 0;
|
|
}
|
|
}
|
|
self.cancel_flags.lock().unwrap().remove(model_id);
|
|
|
|
// Emit completion event
|
|
let _ = self.app_handle.emit("model-download-complete", model_id);
|
|
|
|
info!(
|
|
"Successfully downloaded model {} to {:?}",
|
|
model_id, model_path
|
|
);
|
|
|
|
Ok(())
|
|
}
|
|
|
|
pub fn delete_model(&self, model_id: &str) -> Result<()> {
|
|
debug!("ModelManager: delete_model called for: {}", model_id);
|
|
|
|
let model_info = {
|
|
let models = self.available_models.lock().unwrap();
|
|
models.get(model_id).cloned()
|
|
};
|
|
|
|
let model_info =
|
|
model_info.ok_or_else(|| anyhow::anyhow!("Model not found: {}", model_id))?;
|
|
|
|
debug!("ModelManager: Found model info: {:?}", model_info);
|
|
|
|
let model_path = self.models_dir.join(&model_info.filename);
|
|
let partial_path = self
|
|
.models_dir
|
|
.join(format!("{}.partial", &model_info.filename));
|
|
debug!("ModelManager: Model path: {:?}", model_path);
|
|
debug!("ModelManager: Partial path: {:?}", partial_path);
|
|
|
|
let mut deleted_something = false;
|
|
|
|
if model_info.is_directory {
|
|
// Delete complete model directory if it exists
|
|
if model_path.exists() && model_path.is_dir() {
|
|
info!("Deleting model directory at: {:?}", model_path);
|
|
fs::remove_dir_all(&model_path)?;
|
|
info!("Model directory deleted successfully");
|
|
deleted_something = true;
|
|
}
|
|
} else {
|
|
// Delete complete model file if it exists
|
|
if model_path.exists() {
|
|
info!("Deleting model file at: {:?}", model_path);
|
|
fs::remove_file(&model_path)?;
|
|
info!("Model file deleted successfully");
|
|
deleted_something = true;
|
|
}
|
|
}
|
|
|
|
// Delete partial file if it exists (same for both types)
|
|
if partial_path.exists() {
|
|
info!("Deleting partial file at: {:?}", partial_path);
|
|
fs::remove_file(&partial_path)?;
|
|
info!("Partial file deleted successfully");
|
|
deleted_something = true;
|
|
}
|
|
|
|
if !deleted_something {
|
|
return Err(anyhow::anyhow!("No model files found to delete"));
|
|
}
|
|
|
|
// Custom models should be removed from the list entirely since they
|
|
// have no download URL and can't be re-downloaded
|
|
if model_info.is_custom {
|
|
let mut models = self.available_models.lock().unwrap();
|
|
models.remove(model_id);
|
|
debug!("ModelManager: removed custom model from available models");
|
|
} else {
|
|
// Update download status (marks predefined models as not downloaded)
|
|
self.update_download_status()?;
|
|
debug!("ModelManager: download status updated");
|
|
}
|
|
|
|
// Emit event to notify UI
|
|
let _ = self.app_handle.emit("model-deleted", model_id);
|
|
|
|
Ok(())
|
|
}
|
|
|
|
pub fn get_model_path(&self, model_id: &str) -> Result<PathBuf> {
|
|
let model_info = self
|
|
.get_model_info(model_id)
|
|
.ok_or_else(|| anyhow::anyhow!("Model not found: {}", model_id))?;
|
|
|
|
if !model_info.is_downloaded {
|
|
return Err(anyhow::anyhow!("Model not available: {}", model_id));
|
|
}
|
|
|
|
// Ensure we don't return partial files/directories
|
|
if model_info.is_downloading {
|
|
return Err(anyhow::anyhow!(
|
|
"Model is currently downloading: {}",
|
|
model_id
|
|
));
|
|
}
|
|
|
|
let model_path = self.models_dir.join(&model_info.filename);
|
|
let partial_path = self
|
|
.models_dir
|
|
.join(format!("{}.partial", &model_info.filename));
|
|
|
|
if model_info.is_directory {
|
|
// For directory-based models, ensure the directory exists and is complete
|
|
if model_path.exists() && model_path.is_dir() && !partial_path.exists() {
|
|
Ok(model_path)
|
|
} else {
|
|
Err(anyhow::anyhow!(
|
|
"Complete model directory not found: {}",
|
|
model_id
|
|
))
|
|
}
|
|
} else {
|
|
// For file-based models (existing logic)
|
|
if model_path.exists() && !partial_path.exists() {
|
|
Ok(model_path)
|
|
} else {
|
|
Err(anyhow::anyhow!(
|
|
"Complete model file not found: {}",
|
|
model_id
|
|
))
|
|
}
|
|
}
|
|
}
|
|
|
|
pub fn cancel_download(&self, model_id: &str) -> Result<()> {
|
|
debug!("ModelManager: cancel_download called for: {}", model_id);
|
|
|
|
// Set the cancellation flag to stop the download loop
|
|
{
|
|
let flags = self.cancel_flags.lock().unwrap();
|
|
if let Some(flag) = flags.get(model_id) {
|
|
flag.store(true, Ordering::Relaxed);
|
|
info!("Cancellation flag set for: {}", model_id);
|
|
} else {
|
|
warn!("No active download found for: {}", model_id);
|
|
}
|
|
}
|
|
|
|
// Update state immediately for UI responsiveness
|
|
{
|
|
let mut models = self.available_models.lock().unwrap();
|
|
if let Some(model) = models.get_mut(model_id) {
|
|
model.is_downloading = false;
|
|
}
|
|
}
|
|
|
|
// Update download status to reflect current state
|
|
self.update_download_status()?;
|
|
|
|
// Emit cancellation event so all UI components can clear their state
|
|
let _ = self.app_handle.emit("model-download-cancelled", model_id);
|
|
|
|
info!("Download cancellation initiated for: {}", model_id);
|
|
Ok(())
|
|
}
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
use std::io::Write;
|
|
use tempfile::TempDir;
|
|
|
|
#[test]
|
|
fn test_discover_custom_whisper_models() {
|
|
let temp_dir = TempDir::new().unwrap();
|
|
let models_dir = temp_dir.path().to_path_buf();
|
|
|
|
// Create test .bin files
|
|
let mut custom_file = File::create(models_dir.join("my-custom-model.bin")).unwrap();
|
|
custom_file.write_all(b"fake model data").unwrap();
|
|
|
|
let mut another_file = File::create(models_dir.join("whisper_medical_v2.bin")).unwrap();
|
|
another_file.write_all(b"another fake model").unwrap();
|
|
|
|
// Create files that should be ignored
|
|
File::create(models_dir.join(".hidden-model.bin")).unwrap(); // Hidden file
|
|
File::create(models_dir.join("readme.txt")).unwrap(); // Non-.bin file
|
|
File::create(models_dir.join("ggml-small.bin")).unwrap(); // Predefined filename
|
|
fs::create_dir(models_dir.join("some-directory.bin")).unwrap(); // Directory
|
|
|
|
// Set up available_models with a predefined Whisper model
|
|
let mut models = HashMap::new();
|
|
models.insert(
|
|
"small".to_string(),
|
|
ModelInfo {
|
|
id: "small".to_string(),
|
|
name: "Whisper Small".to_string(),
|
|
description: "Test".to_string(),
|
|
filename: "ggml-small.bin".to_string(),
|
|
url: Some("https://example.com".to_string()),
|
|
sha256: None,
|
|
size_mb: 100,
|
|
is_downloaded: false,
|
|
is_downloading: false,
|
|
partial_size: 0,
|
|
is_directory: false,
|
|
engine_type: EngineType::Whisper,
|
|
accuracy_score: 0.5,
|
|
speed_score: 0.5,
|
|
supports_translation: true,
|
|
is_recommended: false,
|
|
supported_languages: vec!["en".to_string()],
|
|
supports_language_selection: true,
|
|
is_custom: false,
|
|
},
|
|
);
|
|
|
|
// Discover custom models
|
|
ModelManager::discover_custom_whisper_models(&models_dir, &mut models).unwrap();
|
|
|
|
// Should have discovered 2 custom models (my-custom-model and whisper_medical_v2)
|
|
assert!(models.contains_key("my-custom-model"));
|
|
assert!(models.contains_key("whisper_medical_v2"));
|
|
|
|
// Verify custom model properties
|
|
let custom = models.get("my-custom-model").unwrap();
|
|
assert_eq!(custom.name, "My Custom Model");
|
|
assert_eq!(custom.filename, "my-custom-model.bin");
|
|
assert!(custom.url.is_none()); // Custom models have no URL
|
|
assert!(custom.is_downloaded);
|
|
assert!(custom.is_custom);
|
|
assert_eq!(custom.accuracy_score, 0.0);
|
|
assert_eq!(custom.speed_score, 0.0);
|
|
assert!(custom.supported_languages.is_empty());
|
|
|
|
// Verify underscore handling
|
|
let medical = models.get("whisper_medical_v2").unwrap();
|
|
assert_eq!(medical.name, "Whisper Medical V2");
|
|
|
|
// Should NOT have discovered hidden, non-.bin, predefined, or directories
|
|
assert!(!models.contains_key(".hidden-model"));
|
|
assert!(!models.contains_key("readme"));
|
|
assert!(!models.contains_key("some-directory"));
|
|
}
|
|
|
|
#[test]
|
|
fn test_discover_custom_models_empty_dir() {
|
|
let temp_dir = TempDir::new().unwrap();
|
|
let models_dir = temp_dir.path().to_path_buf();
|
|
|
|
let mut models = HashMap::new();
|
|
let count_before = models.len();
|
|
|
|
ModelManager::discover_custom_whisper_models(&models_dir, &mut models).unwrap();
|
|
|
|
// No new models should be added
|
|
assert_eq!(models.len(), count_before);
|
|
}
|
|
|
|
#[test]
|
|
fn test_discover_custom_models_nonexistent_dir() {
|
|
let models_dir = PathBuf::from("/nonexistent/path/that/does/not/exist");
|
|
|
|
let mut models = HashMap::new();
|
|
let count_before = models.len();
|
|
|
|
// Should not error, just return Ok
|
|
let result = ModelManager::discover_custom_whisper_models(&models_dir, &mut models);
|
|
assert!(result.is_ok());
|
|
assert_eq!(models.len(), count_before);
|
|
}
|
|
|
|
// ── SHA256 verification tests ─────────────────────────────────────────────
|
|
|
|
/// Helper: write `data` to a temp file and return (TempDir, path).
|
|
/// TempDir must be kept alive for the duration of the test.
|
|
fn write_temp_file(data: &[u8]) -> (TempDir, std::path::PathBuf) {
|
|
let dir = TempDir::new().unwrap();
|
|
let path = dir.path().join("model.partial");
|
|
let mut f = File::create(&path).unwrap();
|
|
f.write_all(data).unwrap();
|
|
(dir, path)
|
|
}
|
|
|
|
#[test]
|
|
fn test_verify_sha256_skipped_when_none() {
|
|
// Custom models have no expected hash — verification must be a no-op.
|
|
let (_dir, path) = write_temp_file(b"anything");
|
|
assert!(ModelManager::verify_sha256(&path, None, "custom").is_ok());
|
|
assert!(
|
|
path.exists(),
|
|
"file must be untouched when verification is skipped"
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn test_verify_sha256_passes_on_correct_hash() {
|
|
// Compute the real hash so the test is self-consistent.
|
|
let (_dir, path) = write_temp_file(b"hello world");
|
|
let actual = ModelManager::compute_sha256(&path).unwrap();
|
|
assert!(
|
|
ModelManager::verify_sha256(&path, Some(&actual), "test_model").is_ok(),
|
|
"should pass when hash matches"
|
|
);
|
|
assert!(
|
|
path.exists(),
|
|
"file must be kept on successful verification"
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn test_verify_sha256_fails_and_deletes_partial_on_mismatch() {
|
|
let (_dir, path) = write_temp_file(b"this is not the real model");
|
|
let wrong_hash = "0000000000000000000000000000000000000000000000000000000000000000";
|
|
|
|
let result = ModelManager::verify_sha256(&path, Some(wrong_hash), "bad_model");
|
|
|
|
assert!(result.is_err(), "mismatch must return an error");
|
|
assert!(
|
|
result.unwrap_err().to_string().contains("corrupt"),
|
|
"error message should mention corruption"
|
|
);
|
|
assert!(
|
|
!path.exists(),
|
|
"partial file must be deleted after hash mismatch"
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn test_verify_sha256_fails_and_deletes_partial_when_file_missing() {
|
|
// Simulate a partial file that was already removed (e.g. disk full mid-download).
|
|
let dir = TempDir::new().unwrap();
|
|
let missing_path = dir.path().join("gone.partial");
|
|
// Don't create the file — it should not exist.
|
|
|
|
let result =
|
|
ModelManager::verify_sha256(&missing_path, Some("anyexpectedhash"), "missing_model");
|
|
|
|
assert!(result.is_err(), "missing file must return an error");
|
|
}
|
|
}
|