Update apps/aura_measure.js

apps/aura_measure.js

@@ -1,6 +1,7 @@
 // apps/aura_measure.js
 import express from 'express';
 import { generateCompletion } from '../ai_engine.js';
+import { supabase } from '../config/supabaseClient.js';
 
 const router = express.Router();
 
@@ -20,45 +21,64 @@ The "analysis_markdown" string MUST follow this structure:
 ## 🔴 Aura Lost
 * **[Element]**: -[Points] ([Reason])
 
-## 💬 The Play (Suggested Move)[One piece of advice to increase their aura tomorrow, or a nonchalant reply they should send if it's a text screenshot.]
+## 💬 The Play
+[One piece of advice to increase their aura tomorrow, or a nonchalant reply they should send if it's a text screenshot.]
 
 RULES:
 - Speak in modern internet/Gen-Z slang (aura, rizz, cooked, standing on business, nonchalant, etc.).
 - Be brutally honest but funny.`;
 
+// ── LEADERBOARD CACHE ──
+let leaderboardCache = null;
+let lastCacheUpdate = 0;
+const CACHE_DURATION = 2 * 60 * 1000; // 2 minutes
+
 router.post('/analyze', async (req, res) => {
     try {
         const { media_base64, context } = req.body;
         if (!media_base64) throw new Error("No media provided.");
-
-        console.log(`[AURA MEASURE] Analyzing vibe...`);
-
-        const prompt = context 
-            ? `Context: ${context}\nAnalyze this image/screenshot and calculate my Aura. Return JSON.`
-            : `Analyze this image/screenshot and calculate my Aura. Return JSON.`;
-
         const aiResult = await generateCompletion({
             model: "qwen", 
-            prompt: prompt,
+            prompt: context || "Analyze this image and calculate my Aura. Return JSON.",
             system_prompt: AURA_SYSTEM_PROMPT,
-            images:[media_base64] 
+            images: [media_base64] 
         });
-
         if (!aiResult.success) throw new Error(aiResult.error);
-
-        // 🚨 Clean, flawless JSON parsing. No more Regex!
         const parsedData = JSON.parse(aiResult.data);
-
-        res.json({ 
-            success: true, 
-            score: parsedData.score,
-            analysis: parsedData.analysis_markdown 
-        });
-
+        res.json({ success: true, score: parsedData.score, analysis: parsedData.analysis_markdown });
     } catch (err) {
-        console.error("[AURA ERROR]", err.message);
         res.status(500).json({ success: false, error: err.message });
     }
 });
 
+router.get('/leaderboard', async (req, res) => {
+    try {
+        const now = Date.now();
+        if (leaderboardCache && (now - lastCacheUpdate < CACHE_DURATION)) {
+            return res.json({ success: true, data: leaderboardCache });
+        }
+        const { data, error } = await supabase
+            .from('aura_leaderboard')
+            .select('username, avatar, total_score')
+            .order('total_score', { ascending: false })
+            .limit(50);
+        if (error) throw error;
+        leaderboardCache = data;
+        lastCacheUpdate = now;
+        res.json({ success: true, data });
+    } catch (err) { res.status(500).json({ success: false, error: err.message }); }
+});
+
+router.post('/sync', async (req, res) => {
+    try {
+        const { device_id, username, avatar, total_score } = req.body;
+        const { error } = await supabase.from('aura_leaderboard').upsert({ 
+            device_id, username, avatar, total_score, updated_at: new Date() 
+        }, { onConflict: 'device_id' });
+        if (error) throw error;
+        lastCacheUpdate = 0; // Invalidate cache
+        res.json({ success: true });
+    } catch (err) { res.status(500).json({ success: false, error: err.message }); }
+});
+
 export default router;