production: docker + nginx config for rf-flux.com

src/lib/aiTranslator.ts

@@ -0,0 +1,53 @@
+import { generateText } from 'ai';
+import { openai } from '@ai-sdk/openai';
+
+/**
+ * Motor de traducción impulsado por Vercel AI SDK y OpenAI.
+ * Usa generateText para evitar bugs de compatibilidad con Zod.
+ * @param content Objeto con los textos a traducir. Ej: { title: "...", content: "..." }
+ * @returns Objeto con los idiomas y sus traducciones
+ */
+export async function translateContentForCMS(content: Record<string, string>) {
+  try {
+    const { text } = await generateText({
+      model: openai('gpt-4o'), 
+      system: `You are an elite technical translator for FLUX, a premium brand of Radio Frequency (RF) industrial machinery.
+      
+      Your task is to translate the user's JSON content into 4 specific locales:
+      1. 'it': Standard Professional Italian.
+      2. 'vec': Venetian dialect (from Bassano del Grappa). Maintain a proud, industrial, and authentic tone.
+      3. 'es': Professional Spanish (Neutral/Global).
+      4. 'de': Professional Industrial German.
+
+      CRITICAL RULES:
+      - NEVER translate Markdown syntax (#, **, *, >, |---|).
+      - NEVER translate URLs, file paths (like /cases/img.jpg), or code blocks.
+      - NEVER translate technical acronyms like "RF", "kW", "MHz", "FLUX".
+      - Keep the exact same JSON key names as the input.
+      
+      OUTPUT FORMAT:
+      You MUST return ONLY a raw, valid JSON object. Do not wrap it in \`\`\`json blocks. No pleasantries.
+      The output must strictly follow this structure:
+      {
+        "it": { "key1": "translated text..." },
+        "vec": { "key1": "translated text..." },
+        "es": { "key1": "translated text..." },
+        "de": { "key1": "translated text..." }
+      }`,
+      
+      prompt: JSON.stringify(content),
+    });
+
+    // Limpiamos el texto por si GPT-4o decide ponerle "```json" alrededor
+    const cleanedText = text.replace(/```json/g, '').replace(/```/g, '').trim();
+    
+    // Convertimos la respuesta de la IA en un objeto real de Javascript
+    const parsedObject = JSON.parse(cleanedText);
+    
+    return parsedObject;
+
+  } catch (error) {
+    console.error("Error in AI Translation:", error);
+    return null;
+  }
+}