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feat: granular performance tracking and cache hit indicators for AI scans

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This commit is contained in:
robin
2025-12-22 10:45:05 +01:00
parent 7d06ba7a57
commit fd168fea0e
5 changed files with 102 additions and 23 deletions
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71
src/components/ScanAndTasteFlow.tsx
View File

@@ -35,7 +35,14 @@ export default function ScanAndTasteFlow({ isOpen, onClose, imageFile }: ScanAnd
const { locale } = useI18n();
const supabase = createClient();
const [isAdmin, setIsAdmin] = useState(false);
const [perfMetrics, setPerfMetrics] = useState<{ comp: number; ai: number; prep: number } | null>(null);
const [perfMetrics, setPerfMetrics] = useState<{
comp: number;
aiTotal: number;
aiApi: number;
aiParse: number;
uploadSize: number;
prep: number
} | null>(null);
// Admin Check
useEffect(() => {
@@ -107,7 +114,10 @@ export default function ScanAndTasteFlow({ isOpen, onClose, imageFile }: ScanAnd
if (isAdmin) {
setPerfMetrics({
comp: endComp - startComp,
ai: endAi - startAi,
aiTotal: endAi - startAi,
aiApi: result.perf?.apiDuration || 0,
aiParse: result.perf?.parseDuration || 0,
uploadSize: result.perf?.uploadSize || 0,
prep: endPrep - startPrep
});
}
@@ -228,18 +238,32 @@ export default function ScanAndTasteFlow({ isOpen, onClose, imageFile }: ScanAnd
</motion.div>
{isAdmin && perfMetrics && (
<div className="mt-8 p-4 bg-black/40 backdrop-blur-md rounded-2xl border border-orange-500/20 text-[10px] font-mono text-zinc-400 animate-in fade-in slide-in-from-bottom-2">
<div className="grid grid-cols-3 gap-4 text-center">
<div className="mt-8 p-6 bg-zinc-950/80 backdrop-blur-xl rounded-3xl border border-orange-500/20 text-[10px] font-mono text-zinc-400 animate-in fade-in slide-in-from-bottom-4 shadow-2xl">
<div className="grid grid-cols-3 gap-6 text-center">
<div>
<p className="text-zinc-500 mb-1 uppercase tracking-widest text-[8px]">Comp</p>
<p className="text-zinc-500 mb-2 uppercase tracking-widest text-[8px]">Client</p>
<p className="text-orange-500 font-bold">{perfMetrics.comp.toFixed(0)}ms</p>
<p className="text-[8px] opacity-40 mt-1">{(perfMetrics.uploadSize / 1024).toFixed(0)} KB</p>
</div>
<div>
<p className="text-zinc-500 mb-1 uppercase tracking-widest text-[8px]">AI</p>
<p className="text-orange-500 font-bold">{perfMetrics.ai.toFixed(0)}ms</p>
<p className="text-zinc-500 mb-2 uppercase tracking-widest text-[8px]">AI Engine</p>
{perfMetrics.aiApi === 0 ? (
<div className="flex flex-col items-center">
<p className="text-green-500 font-bold tracking-tighter">CACHE HIT</p>
<p className="text-[7px] opacity-40 mt-1">DB RESULTS</p>
</div>
) : (
<>
<p className="text-orange-500 font-bold">{perfMetrics.aiTotal.toFixed(0)}ms</p>
<div className="flex flex-col gap-0.5 mt-1 text-[7px] opacity-60">
<span>API: {perfMetrics.aiApi.toFixed(0)}ms</span>
<span>Parse: {perfMetrics.aiParse.toFixed(0)}ms</span>
</div>
</>
)}
</div>
<div>
<p className="text-zinc-500 mb-1 uppercase tracking-widest text-[8px]">Prep</p>
<p className="text-zinc-500 mb-2 uppercase tracking-widest text-[8px]">App Logic</p>
<p className="text-orange-500 font-bold">{perfMetrics.prep.toFixed(0)}ms</p>
</div>
</div>
@@ -289,14 +313,29 @@ export default function ScanAndTasteFlow({ isOpen, onClose, imageFile }: ScanAnd
activeSessionId={activeSession?.id}
/>
{isAdmin && perfMetrics && (
<div className="absolute top-24 left-6 z-50 p-2 bg-black/60 backdrop-blur-md rounded-lg border border-orange-500/30 text-[9px] font-mono text-white/90 pointer-events-none">
<div className="flex items-center gap-2">
<Clock size={10} className="text-orange-500" />
<span>Comp: {perfMetrics.comp.toFixed(0)}ms</span>
<span className="opacity-30">|</span>
<span>AI: {perfMetrics.ai.toFixed(0)}ms</span>
<span className="opacity-30">|</span>
<span>Prep: {perfMetrics.prep.toFixed(0)}ms</span>
<div className="absolute top-24 left-6 right-6 z-50 p-3 bg-zinc-950/80 backdrop-blur-md rounded-2xl border border-orange-500/20 text-[9px] font-mono text-white/90 shadow-xl overflow-x-auto">
<div className="flex items-center justify-between gap-4 whitespace-nowrap">
<div className="flex items-center gap-2">
<Clock size={10} className="text-orange-500" />
<span className="text-zinc-500">CLIENT:</span>
<span className="text-orange-500 font-bold">{perfMetrics.comp.toFixed(0)}ms</span>
<span className="text-zinc-600">({(perfMetrics.uploadSize / 1024).toFixed(0)}KB)</span>
</div>
<div className="flex items-center gap-2">
<span className="text-zinc-500">AI:</span>
{perfMetrics.aiApi === 0 ? (
<span className="text-green-500 font-bold tracking-tight">CACHE HIT ⚡</span>
) : (
<>
<span className="text-orange-500 font-bold">{perfMetrics.aiTotal.toFixed(0)}ms</span>
<span className="text-zinc-600 ml-1">(API: {perfMetrics.aiApi.toFixed(0)}ms / Pars: {perfMetrics.aiParse.toFixed(0)}ms)</span>
</>
)}
</div>
<div className="flex items-center gap-2">
<span className="text-zinc-500">APP:</span>
<span className="text-orange-500 font-bold">{perfMetrics.prep.toFixed(0)}ms</span>
</div>
</div>
</div>
)}

17
src/services/analyze-bottle-mistral.ts
View File

@@ -68,6 +68,11 @@ export async function analyzeBottleMistral(input: any): Promise<AnalysisResponse
return {
success: true,
data: cachedResult.result as any,
perf: {
apiDuration: 0,
parseDuration: 0,
uploadSize: buffer.length
}
};
}
@@ -76,9 +81,11 @@ export async function analyzeBottleMistral(input: any): Promise<AnalysisResponse
const base64Data = buffer.toString('base64');
const mimeType = file.type || 'image/webp';
const dataUrl = `data:${mimeType};base64,${base64Data}`;
const uploadSize = buffer.length;
const prompt = getSystemPrompt(tags.length > 0 ? tags.join(', ') : 'Keine Tags verfügbar', locale);
const startApi = performance.now();
const chatResponse = await client.chat.complete({
model: 'mistral-large-latest',
messages: [
@@ -93,7 +100,9 @@ export async function analyzeBottleMistral(input: any): Promise<AnalysisResponse
responseFormat: { type: 'json_object' },
temperature: 0.1
});
const endApi = performance.now();
const startParse = performance.now();
const rawContent = chatResponse.choices?.[0].message.content;
if (!rawContent) throw new Error("Keine Antwort von Mistral");
@@ -121,6 +130,7 @@ export async function analyzeBottleMistral(input: any): Promise<AnalysisResponse
if (jsonData.vintage) jsonData.vintage = parseInt(jsonData.vintage);
const validatedData = BottleMetadataSchema.parse(jsonData);
const endParse = performance.now();
// Track usage
await trackApiUsage({
@@ -141,7 +151,12 @@ export async function analyzeBottleMistral(input: any): Promise<AnalysisResponse
return {
success: true,
data: validatedData,
search_string: searchString
search_string: searchString,
perf: {
apiDuration: endApi - startApi,
parseDuration: endParse - startParse,
uploadSize: uploadSize
}
};
} catch (error) {

23
src/services/analyze-bottle.ts
View File

@@ -60,7 +60,6 @@ export async function analyzeBottle(input: any): Promise<AnalysisResponse> {
// 4. Hash für Cache erstellen (direkt vom Buffer -> sehr schnell)
const imageHash = createHash('sha256').update(buffer).digest('hex');
// Cache Check
const { data: cachedResult } = await supabase
.from('vision_cache')
@@ -69,7 +68,15 @@ export async function analyzeBottle(input: any): Promise<AnalysisResponse> {
.maybeSingle();
if (cachedResult) {
return { success: true, data: cachedResult.result as any };
return {
success: true,
data: cachedResult.result as any,
perf: {
apiDuration: 0,
parseDuration: 0,
uploadSize: buffer.length
}
};
}
// 5. Für Gemini vorbereiten
@@ -77,10 +84,12 @@ export async function analyzeBottle(input: any): Promise<AnalysisResponse> {
// extrem effizient. Das Problem vorher war der JSON Parser von Next.js.
const base64Data = buffer.toString('base64');
const mimeType = file.type || 'image/webp'; // Fallback
const uploadSize = buffer.length;
const instruction = getSystemPrompt(tags.length > 0 ? tags.join(', ') : 'No tags available', locale);
// API Call
const startApi = performance.now();
const result = await geminiModel.generateContent([
{
inlineData: {
@@ -90,7 +99,9 @@ export async function analyzeBottle(input: any): Promise<AnalysisResponse> {
},
{ text: instruction },
]);
const endApi = performance.now();
const startParse = performance.now();
const responseText = result.response.text();
// JSON Parsing der ANTWORT (das ist klein, das schafft der N100 locker)
@@ -111,6 +122,7 @@ export async function analyzeBottle(input: any): Promise<AnalysisResponse> {
if (!jsonData) throw new Error('Keine Daten in der KI-Antwort gefunden.');
const validatedData = BottleMetadataSchema.parse(jsonData);
const endParse = performance.now();
// 6. Tracking & Credits (bleibt gleich)
await trackApiUsage({
@@ -132,7 +144,12 @@ export async function analyzeBottle(input: any): Promise<AnalysisResponse> {
return {
success: true,
data: validatedData,
search_string: searchString
search_string: searchString,
perf: {
apiDuration: endApi - startApi,
parseDuration: endParse - startParse,
uploadSize: uploadSize
}
} as any;
} catch (error) {

9
src/services/magic-scan.ts
View File

@@ -79,7 +79,8 @@ export async function magicScan(input: any): Promise<AnalysisResponse & { wb_id?
console.log(`[Magic Scan] Cache Hit for ${searchString}: ${cacheHit.wb_id}`);
return {
...aiResponse,
wb_id: cacheHit.wb_id
wb_id: cacheHit.wb_id,
perf: aiResponse.perf
};
}
@@ -106,13 +107,15 @@ export async function magicScan(input: any): Promise<AnalysisResponse & { wb_id?
return {
...aiResponse,
wb_id: braveResult.id
wb_id: braveResult.id,
perf: aiResponse.perf
};
}
return {
...aiResponse,
wb_id: undefined
wb_id: undefined,
perf: aiResponse.perf
};
} catch (error) {

5
src/types/whisky.ts
View File

@@ -96,4 +96,9 @@ export interface AnalysisResponse {
success: boolean;
data?: BottleMetadata;
error?: string;
perf?: {
apiDuration: number;
parseDuration: number;
uploadSize: number;
};
}