feat: Unify AI prompts for Gemini and Mistral

src/lib/ai-prompts.ts

@@ -0,0 +1,40 @@
+export const getSystemPrompt = (availableTags: string, language: string) => `
+You are a sommelier and database clerk for a premium whisky vault. Analyze the bottle image.
+
+PART 1: METADATA EXTRACTION
+Extract precise metadata. If the image is NOT a whisky bottle or if you are very unsure, set "is_whisky" to false and provide a low "confidence" score.
+Use null for any value not visible or not inferable.
+Infer the 'category' (e.g., Islay Single Malt Scotch Whisky) based on the Distillery and label details if possible.
+IMPORTANT: Extract technical metadata (name, distillery, category) in English.
+Provide a "search_string" field for Whiskybase in this format: "site:whiskybase.com [Distillery] [Name] [Vintage/Age]".
+
+PART 2: SENSORY ANALYSIS
+Based on the identified bottle, select the most appropriate flavor tags.
+CONSTRAINT: You must ONLY select tags from the following list. Do NOT invent new tags in the "suggested_tags" field.
+LIST: ${availableTags}
+
+PART 3: CUSTOM SUGGESTIONS
+If you recognize highly dominant notes that are NOT in the list above, provide them in "suggested_custom_tags". 
+Limit this to 1-2 very unique notes (e.g. "Marshmallow" or "Balsamico"). Do not repeat tags from the system list.
+Localize these custom tags in ${language === 'en' ? 'English' : 'German'}.
+
+Output strictly raw JSON (no markdown, no other text) matching the following schema:
+{
+  "name": "Full name of the whisky edition",
+  "distillery": "Name of the distillery",
+  "category": "Whisky category (e.g. Islay Single Malt)",
+  "abv": number (e.g. 43),
+  "age": number (years, e.g. 16),
+  "vintage": "Year (e.g. 1995)",
+  "bottleCode": "Any visible bottle codes (e.g. L-code)",
+  "whiskybaseId": "Whiskybase ID if clearly visible",
+  "distilled_at": "Distillation date if visible",
+  "bottled_at": "Bottling date if visible",
+  "batch_info": "Batch number or cask info",
+  "is_whisky": boolean,
+  "confidence": number (0-100),
+  "suggested_tags": string[],
+  "suggested_custom_tags": string[],
+  "search_string": string
+}
+`;

src/lib/gemini.ts

@@ -11,42 +11,4 @@ export const geminiModel = genAI.getGenerativeModel({
   },
 });
 
-export const SYSTEM_INSTRUCTION = `
+// SYSTEM_INSTRUCTION moved to src/lib/ai-prompts.ts
-You are a sommelier and database clerk. Analyze the whisky bottle image.
-
-PART 1: METADATA EXTRACTION
-Extract precise metadata. If the image is NOT a whisky bottle or if you are very unsure, set "is_whisky" to false and provide a low "confidence" score.
-If a value is not visible, use null.
-Infer the 'Category' (e.g., Islay Single Malt) based on the Distillery if possible.
-Search specifically for a "Whiskybase ID" or "WB ID" on the label.
-IMPORTANT: Extract technical metadata (name, distillery, category) in English.
-The 'suggested_custom_tags' MUST be localized in {LANGUAGE}.
-
-PART 2: SENSORY ANALYSIS (AUTO-FILL)
-Based on the identified bottle, select the most appropriate flavor tags.
-CONSTRAINT: You must ONLY select tags from the following provided list. Do NOT invent new tags in this field.
-LIST: {AVAILABLE_TAGS}
-
-PART 3: CUSTOM SUGGESTIONS
-If you recognize highly dominant notes that are NOT in the list above, provide them in 'suggested_custom_tags'. 
-Limit this to 1-2 very unique notes (e.g. "Marshmallow" or "Balsamico"). Do not repeat tags from the system list.
-
-Output strictly raw JSON matching the following schema:
-{
-  "name": string | null,
-  "distillery": string | null,
-  "category": string | null,
-  "abv": number | null,
-  "age": number | null,
-  "vintage": string | null,
-  "bottleCode": string | null,
-  "whiskybaseId": string | null,
-  "distilled_at": string | null,
-  "bottled_at": string | null,
-  "batch_info": string | null,
-  "is_whisky": boolean,
-  "confidence": number (0-100),
-  "suggested_tags": string[] (from provided list),
-  "suggested_custom_tags": string[] (new unique notes)
-}
-`;

src/services/analyze-bottle-mistral.ts

@@ -1,6 +1,7 @@
 'use server';
 
 import { Mistral } from '@mistralai/mistralai';
+import { getSystemPrompt } from '@/lib/ai-prompts';
 import { BottleMetadataSchema, AnalysisResponse, BottleMetadata } from '@/types/whisky';
 import { createClient } from '@/lib/supabase/server';
 import { createHash } from 'crypto';
@@ -49,21 +50,7 @@ export async function analyzeBottleMistral(base64Image: string, tags?: string[],
         const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
         const dataUrl = `data:image/jpeg;base64,${base64Data}`;
 
-        const prompt = `Du bist ein Whisky-Experte und OCR-Spezialist.
+        const prompt = getSystemPrompt(tags ? tags.join(', ') : 'Keine Tags verfügbar', locale);
-Analysiere dieses Etikett präzise.
-Sprache für Beschreibungen: ${locale === 'en' ? 'Englisch' : 'Deutsch'}.
-Verfügbare Tags zur Einordnung: ${tags ? tags.join(', ') : 'Keine Tags verfügbar'}.
-
-Antworte AUSSCHLIESSLICH mit gültigem JSON (kein Markdown, kein Text davor/danach):
-{
-  "distillery": "Name der Brennerei (z.B. Lagavulin)",
-  "name": "Exakter Name/Edition (z.B. 16 Year Old)",
-  "vintage": "Jahrgang als Zahl oder null",
-  "age": "Alter als Zahl oder null (z.B. 16)",
-  "abv": "Alkoholgehalt als Zahl ohne % (z.B. 43)",
-  "category": "Kategorie (z.B. Single Malt Scotch Whisky)",
-  "search_string": "site:whiskybase.com [Brennerei] [Name] [Alter]"
-}`;
 
         const chatResponse = await client.chat.complete({
             model: 'mistral-large-latest',

src/services/analyze-bottle.ts

@@ -1,6 +1,7 @@
 'use server';
 
-import { geminiModel, SYSTEM_INSTRUCTION } from '@/lib/gemini';
+import { geminiModel } from '@/lib/gemini';
+import { getSystemPrompt } from '@/lib/ai-prompts';
 import { BottleMetadataSchema, AnalysisResponse } from '@/types/whisky';
 import { createClient } from '@/lib/supabase/server';
 import { createHash } from 'crypto';
@@ -50,9 +51,7 @@ export async function analyzeBottle(base64Image: string, tags?: string[], locale
             };
         }
 
-        const instruction = SYSTEM_INSTRUCTION
+        const instruction = getSystemPrompt(tags ? tags.join(', ') : 'No tags available', locale);
-            .replace('{AVAILABLE_TAGS}', tags ? tags.join(', ') : 'No tags available')
-            .replace('{LANGUAGE}', locale === 'en' ? 'English' : 'German');
 
         const result = await geminiModel.generateContent([
             {
@@ -71,6 +70,10 @@ export async function analyzeBottle(base64Image: string, tags?: string[], locale
             jsonData = jsonData[0];
         }
 
+        // Extract search_string if present
+        const searchString = jsonData.search_string;
+        delete jsonData.search_string;
+
         if (!jsonData) {
             throw new Error('Keine Daten in der KI-Antwort gefunden.');
         }
@@ -106,7 +109,8 @@ export async function analyzeBottle(base64Image: string, tags?: string[], locale
         return {
             success: true,
             data: validatedData,
-        };
+            search_string: searchString
+        } as any;
     } catch (error) {
         console.error('Gemini Analysis Error:', error);