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import type { DiscoverEntry, DiscoverHardware, DiscoverResult, GPUInfo } from "@/lib/modelfit";
import { verdictMeta } from "@/components/modelfit/verdict";
// ββ Small building blocks βββββββββββββββββββββββββββββββββββββββββββββββββββββ
function Chip({ label, tone = "zinc" }: { label: string; tone?: "zinc" | "green" | "sky" | "amber" }) {
const tones = {
zinc: "bg-zinc-800 text-zinc-300",
green: "bg-emerald-900/50 text-emerald-300",
sky: "bg-sky-900/50 text-sky-300",
amber: "bg-amber-900/50 text-amber-300",
};
return <span className={`px-1.5 py-0.5 rounded text-[10px] font-mono ${tones[tone]}`}>{label}</span>;
}
function Stat({ label, value, accent }: { label: string; value: React.ReactNode; accent?: string }) {
return (
<div>
<div className="text-[10px] uppercase tracking-wider text-zinc-500">{label}</div>
<div className={`text-sm font-mono ${accent ?? "text-zinc-100"}`}>{value}</div>
</div>
);
}
function backendTone(b: string) {
return b === "cuda"
? "bg-emerald-900/50 text-emerald-300 ring-emerald-600/40"
: b === "metal"
? "bg-sky-900/50 text-sky-300 ring-sky-600/40"
: b === "rocm"
? "bg-purple-900/50 text-purple-300 ring-purple-600/40"
: "bg-zinc-800 text-zinc-300 ring-zinc-600/40";
}
/** Per-GPU VRAM bar: used (other processes) + free. */
function GpuBar({ gpu }: { gpu: GPUInfo }) {
const total = gpu.vram_gb || 0;
const free = gpu.vram_free_gb ?? null;
const usedPct = total > 0 && free != null ? Math.max(0, Math.min(100, ((total - free) / total) * 100)) : 0;
return (
<div className="space-y-1">
<div className="flex items-center justify-between text-xs">
<span className="text-zinc-300 truncate">{gpu.name}</span>
<span className="text-zinc-400 font-mono shrink-0 ml-2">
{total} GB{gpu.integrated ? " unified" : ""}
</span>
</div>
{free != null && (
<>
<div className="h-1.5 rounded bg-zinc-800 overflow-hidden">
<div className="h-full bg-zinc-500" style={{ width: `${usedPct}%` }} />
</div>
<div className="text-[10px] text-zinc-500 font-mono">
{free} GB free Β· {(total - free).toFixed(1)} GB in use
</div>
</>
)}
</div>
);
}
/** Usage gauge for the recommended model vs available memory, with 80% marker. */
function UsageGauge({ entry, hardware }: { entry: DiscoverEntry; hardware: DiscoverHardware }) {
const re = entry.resource_estimate;
if (!re) return null;
const onGpu = hardware.total_vram_gb > 0;
const capacity = onGpu ? hardware.total_vram_gb : hardware.ram_gb;
const model = re.estimated_vram_gb;
const pct = capacity > 0 ? Math.min(100, (model / capacity) * 100) : 0;
const meta = verdictMeta(re.verdict);
const freeNow = onGpu ? hardware.total_vram_free_gb ?? null : null;
return (
<div className="space-y-1.5">
<div className="flex items-baseline justify-between">
<span className="text-[10px] uppercase tracking-wider text-zinc-500">
Estimated {onGpu ? "VRAM" : "RAM"} use
</span>
<span className="text-xs font-mono text-zinc-300">
{model} / {capacity} GB
</span>
</div>
<div className="relative h-3 rounded-full bg-zinc-800 overflow-hidden">
<div className={`h-full rounded-full ${meta.barClass}`} style={{ width: `${pct}%` }} />
{/* 80% headroom marker */}
<div className="absolute top-0 bottom-0 w-px bg-zinc-400/70" style={{ left: "80%" }} title="80% headroom target" />
</div>
<div className="text-[10px] text-zinc-500 font-mono">
{re.headroom_gb != null && re.headroom_gb >= 0
? `${re.headroom_gb} GB headroom`
: "exceeds capacity"}
{freeNow != null && ` Β· ${freeNow} GB free right now`}
{" Β· dashed line = 80% target"}
</div>
</div>
);
}
// ββ Plain-language summary ββββββββββββββββββββββββββββββββββββββββββββββββββββ
function gpuSummary(gpus: GPUInfo[], totalVram: number): string {
if (gpus.length === 0) return "no GPU";
const first = gpus[0].name.replace(/NVIDIA GeForce |NVIDIA /i, "");
const prefix = gpus.length > 1 ? `${gpus.length}Γ ${first}` : first;
return `${prefix} (${totalVram} GB VRAM)`;
}
function buildSummary(hardware: DiscoverHardware, entry: DiscoverEntry): string {
const re = entry.resource_estimate;
const name = (entry.model_meta.display_name || entry.model_id).replace(/^(ollama:|hf:|local:)/, "");
const hw = hardware.total_vram_gb > 0 ? gpuSummary(hardware.gpus, hardware.total_vram_gb) : `${hardware.ram_gb} GB RAM (CPU)`;
if (!re) return `${name} is the best match for your ${hw}.`;
const v = re.verdict;
const use = `~${re.estimated_vram_gb} GB at ${entry.best_quantization}`;
if (v === "runs_great") return `Your ${hw} runs ${name} comfortably β ${use}, ${re.headroom_gb} GB to spare.`;
if (v === "runs_ok") return `Your ${hw} runs ${name} β ${use}, a tight but workable fit.`;
if (v === "runs_offload")
return `${name} needs ${use} β more than your ${hw}. It runs by offloading layers to system RAM (slower). A smaller model or lower quant would run fully on the GPU.`;
if (v === "runs_cpu") return `${name} runs on your CPU β ${use} in RAM, ${re.headroom_gb} GB to spare.`;
if (v === "runs_cpu_tight") return `${name} runs on your CPU but leaves little RAM headroom (${use}).`;
return `${name} needs ${use} β too large for this machine. Pick a smaller model below.`;
}
// ββ Main report βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
export function SystemReport({
result,
onPull,
onRefresh,
loading,
hosted = false,
}: {
result: DiscoverResult;
onPull: (entry: DiscoverEntry) => void;
onRefresh: () => void;
loading: boolean;
/** True on a hosted demo (HF Space): the probe reads the SERVER, not the visitor's device. */
hosted?: boolean;
}) {
const hw = result.hardware;
const top = result.recommendations[0] as DiscoverEntry | undefined;
const onGpu = hw.total_vram_gb > 0;
const meta = top?.resource_estimate ? verdictMeta(top.resource_estimate.verdict) : null;
return (
<div className="rounded-2xl border border-zinc-700 bg-gradient-to-b from-zinc-900 to-zinc-900/60 overflow-hidden">
{/* Header */}
<div className="flex items-center justify-between px-6 py-4 border-b border-zinc-800">
<div>
<h2 className="text-base font-semibold text-zinc-100">Your System Report</h2>
<p className="text-xs text-zinc-500 mt-0.5">
Detected hardware and the best-fitting model, ranked for {result.task ?? "your tasks"}.
</p>
</div>
<button
onClick={onRefresh}
disabled={loading}
className="flex items-center gap-1.5 px-3 py-1.5 rounded-lg border border-zinc-700 text-xs text-zinc-400 hover:text-zinc-200 hover:border-zinc-500 transition-colors disabled:opacity-40"
>
<span className={loading ? "animate-spin" : ""}>β³</span>
{loading ? "Scanningβ¦" : "Re-scan"}
</button>
</div>
{/* Hosted-demo notice: the probe reads the Space's server, not the visitor's device. */}
{hosted && (
<div className="mx-6 mt-4 rounded-lg border border-amber-600/40 bg-amber-900/20 px-3.5 py-2.5 text-[11px] leading-relaxed text-amber-200/90">
<span className="font-semibold text-amber-200">You're on the hosted demo.</span>{" "}
This report profiles the <span className="font-semibold">Space's server</span>{" "}
({hw.os}
{hw.arch ? ` Β· ${hw.arch}` : ""}) β not your own device. Models shown here would run on the
server, not on your machine. To profile your Mac/PC and pull models onto it, run Auralynq
locally (
<a
href="https://github.com/MHHamdan/Auralynq"
target="_blank"
rel="noopener noreferrer"
className="underline hover:text-amber-100"
>
one command
</a>
).
</div>
)}
<div className="grid grid-cols-1 lg:grid-cols-2 divide-y lg:divide-y-0 lg:divide-x divide-zinc-800">
{/* ββ This machine ββ */}
<div className="p-6 space-y-4">
<div className="flex items-center gap-2">
<span className="text-[10px] font-semibold uppercase tracking-wider text-zinc-500">
{hosted ? "Server (hosted demo)" : "This machine"}
</span>
<span className={`px-2 py-0.5 rounded-full text-[10px] font-mono font-semibold ring-1 ${backendTone(hw.best_backend)}`}>
{hw.best_backend.toUpperCase()}
</span>
</div>
<div className="grid grid-cols-2 gap-y-3 gap-x-4">
<Stat label="OS" value={`${hw.os}${hw.arch ? ` Β· ${hw.arch}` : ""}`} />
<Stat label="RAM" value={`${hw.ram_gb} GB`} accent="text-zinc-100 font-semibold" />
<div className="col-span-2">
<Stat label="CPU" value={hw.cpu || "unknown"} />
<div className="flex flex-wrap gap-1.5 mt-1">
{hw.cpu_cores_physical != null && (
<Chip label={`${hw.cpu_cores_physical}P / ${hw.cpu_cores_logical}L`} />
)}
{hw.avx2 && <Chip label="AVX2" tone="green" />}
{hw.avx512 && <Chip label="AVX-512" tone="green" />}
</div>
</div>
</div>
{/* GPUs */}
<div className="space-y-2 pt-1">
<div className="flex items-center justify-between">
<span className="text-[10px] uppercase tracking-wider text-zinc-500">
{onGpu ? `GPU${hw.gpus.length > 1 ? `s Β· ${hw.gpus.length}` : ""}` : "GPU"}
</span>
{onGpu && (
<span className="text-xs font-mono text-emerald-400 font-semibold">
{hw.total_vram_gb} GB total
{hw.total_vram_free_gb != null && ` Β· ${hw.total_vram_free_gb} free`}
</span>
)}
</div>
{hw.gpus.length === 0 ? (
<p className="text-xs text-zinc-500">
None detected β inference will use the CPU.
{hw.in_container && " (Running in a container; host GPUs may be hidden.)"}
</p>
) : (
<div className="space-y-2.5">
{hw.gpus.slice(0, 4).map((g, i) => (
<GpuBar key={i} gpu={g} />
))}
</div>
)}
</div>
</div>
{/* ββ Top pick ββ */}
<div className="p-6 space-y-4">
<span className="text-[10px] font-semibold uppercase tracking-wider text-zinc-500">
{hosted ? "Best pick for this server" : "Best pick for you"}
</span>
{!top ? (
<p className="text-sm text-zinc-500">No models matched this machine and task.</p>
) : (
<>
{/* Model identity */}
<div className="flex items-start justify-between gap-3">
<div className="min-w-0">
<div className="text-lg font-semibold text-zinc-100 truncate">
{(top.model_meta.display_name || top.model_id).replace(/^(ollama:|hf:|local:)/, "")}
</div>
<div className="flex items-center gap-2 mt-0.5 text-[11px] text-zinc-500">
<span className="uppercase">{top.source}</span>
{top.model_meta.parameter_count_b != null && <span>Β· {top.model_meta.parameter_count_b}B</span>}
<span>Β· {top.best_quantization}</span>
<span>Β· score {Math.round(top.overall_score)}</span>
</div>
</div>
{top.already_installed && (
<span className="shrink-0 flex items-center gap-1 text-xs text-emerald-400 font-medium">
<span className="w-1.5 h-1.5 rounded-full bg-emerald-400" /> Installed
</span>
)}
</div>
{/* Verdict badge */}
{meta && (
<div className={`inline-flex items-center gap-2 rounded-lg px-3 py-1.5 ${meta.badgeClass}`}>
<meta.icon className="h-4 w-4 shrink-0" aria-hidden />
<span className="text-sm font-semibold">{meta.label}</span>
</div>
)}
{/* Usage gauge */}
<UsageGauge entry={top} hardware={hw} />
{/* Quick stats */}
<div className="grid grid-cols-3 gap-3 pt-1">
{top.resource_estimate && (
<>
<Stat label="Download" value={`${top.resource_estimate.estimated_disk_gb} GB`} />
<Stat label="RAM need" value={`${top.resource_estimate.estimated_ram_gb} GB`} />
<Stat
label="Max context"
value={`${(top.resource_estimate.recommended_context / 1024).toFixed(0)}K`}
/>
</>
)}
</div>
{/* Plain-language summary */}
<p className="text-xs text-zinc-400 leading-relaxed">{buildSummary(hw, top)}</p>
{/* CTA */}
{!top.already_installed && top.pull_command && (
<button
onClick={() => onPull(top)}
className="w-full flex items-center justify-center gap-2 px-4 py-2.5 rounded-xl bg-sky-600 hover:bg-sky-500 text-sm text-white font-semibold transition-colors"
>
{top.source === "ollama" ? "β Pull this model" : "β Get download command"}
</button>
)}
</>
)}
</div>
</div>
{/* Footer */}
<div className="px-6 py-2.5 border-t border-zinc-800 text-[11px] text-zinc-500 flex items-center gap-2">
<span>
<span className="text-zinc-300 font-medium">{result.total_candidates}</span> models scored against
{hosted ? " the server's hardware" : " your hardware"}
</span>
<span className="text-zinc-700">Β·</span>
<span>full ranking below β</span>
</div>
</div>
);
}
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