95c8d490c3
- Share single System::new_all() in probe_system() instead of calling it twice - Rename CpuInfo::core_count to logical_processors (sys.cpus().len() returns logical, not physical) - Add fallback arm to probe_os() for unsupported cfg targets - Add serde::Serialize to KonError for structured frontend error reporting - Annotate dead code (ProviderRegistry, TranscriptMetadata) with #[allow(dead_code)] + TODO comments - Update downstream references in recommendation tests and tauri hardware command Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
70 lines
2.0 KiB
Rust
70 lines
2.0 KiB
Rust
use serde::Serialize;
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use kon_core::hardware::{self, Os};
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use kon_core::recommendation;
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#[derive(Serialize)]
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pub struct SystemInfo {
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pub ram_mb: u64,
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pub cpu_brand: String,
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pub cpu_cores: usize,
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pub os: String,
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pub gpu: Option<String>,
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}
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#[derive(Serialize)]
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pub struct ModelRecommendation {
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pub id: String,
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pub display_name: &'static str,
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pub disk_size_mb: u64,
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pub ram_required_mb: u64,
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pub description: &'static str,
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pub score: f64,
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pub reason: String,
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pub is_downloaded: bool,
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}
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/// Probe system hardware and return a summary.
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#[tauri::command]
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pub fn probe_system() -> Result<SystemInfo, String> {
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let profile = hardware::probe_system();
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Ok(SystemInfo {
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ram_mb: profile.ram.0,
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cpu_brand: profile.cpu.brand,
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cpu_cores: profile.cpu.logical_processors,
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os: match profile.os {
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Os::Windows => "Windows",
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Os::Linux => "Linux",
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Os::MacOs => "macOS",
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Os::Ios => "iOS",
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Os::Android => "Android",
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}
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.to_string(),
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gpu: profile.gpu.map(|g| format!("{:?}", g.vendor)),
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})
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}
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/// Rank models for the current system and return recommendations.
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#[tauri::command]
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pub fn rank_models() -> Result<Vec<ModelRecommendation>, String> {
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let profile = hardware::probe_system();
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let ranked = recommendation::rank_recommendations(&profile);
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Ok(ranked
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.into_iter()
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.map(|scored| {
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let downloaded = kon_transcription::is_downloaded(&scored.entry.id);
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ModelRecommendation {
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id: scored.entry.id.as_str().to_string(),
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display_name: scored.entry.display_name,
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disk_size_mb: scored.entry.disk_size.0,
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ram_required_mb: scored.entry.ram_required.0,
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description: scored.entry.description,
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score: scored.score,
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reason: scored.reason,
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is_downloaded: downloaded,
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}
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})
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.collect())
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}
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