قم بتحسين البحث ليكون ادق واذكي

src/components/voice-chat/voice-chat.tsx

@@ -24,12 +24,11 @@ export function VoiceChat() {
   const { toast } = useToast();
   const { t, lang, aiEngine } = useLanguage();
 
-  // ElevenLabs المعتمد - تنفيذ جهة العميل لتجاوز حظر الداتا سنتر
   const ELEVEN_LABS_API_KEY = "89ed836c9dcaca9c5f91e14eca1fb1ed012a200fdc549c0fcee08d5859f54946";
   const VOICE_ID = "EXAVITQu4vr4xnSDxMaL"; // Bella
 
   const fetchTtsFromClient = async (text: string): Promise<string> => {
-    console.log(`[TTS_CLIENT_LOG]: Initializing Client-side TTS (iPhone Spoof) for: "${text.substring(0, 20)}..."`);
+    console.log(`[TTS_CLIENT_LOG]: Client-side TTS (iPhone Spoof) for: "${text.substring(0, 20)}..."`);
     
     try {
       const response = await fetch(`https://api.elevenlabs.io/v1/text-to-speech/${VOICE_ID}`, {
@@ -38,7 +37,6 @@ export function VoiceChat() {
           "xi-api-key": ELEVEN_LABS_API_KEY,
           "Content-Type": "application/json",
           "accept": "audio/mpeg",
-          // خداع السيرفر بأن الطلب قادم من متصفح سفاري على آيفون لتجاوز حظر الداتا سنتر
           "User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Mobile/15E148 Safari/604.1"
         },
         body: JSON.stringify({
@@ -53,11 +51,11 @@ export function VoiceChat() {
 
       if (!response.ok) {
         const errorText = await response.text();
-        console.error(`[TTS_CLIENT_ERROR]: Status ${response.status} - Details:`, errorText);
+        console.error(`[TTS_CLIENT_ERROR]: Status ${response.status}`, errorText);
         throw new Error(`ElevenLabs API Error: ${response.status}`);
       }
 
-      console.log("[TTS_CLIENT_SUCCESS]: Audio received. Creating Blob...");
+      console.log("[TTS_CLIENT_SUCCESS]: Audio received.");
       const blob = await response.blob();
       return URL.createObjectURL(blob);
     } catch (e: any) {
@@ -69,7 +67,6 @@ export function VoiceChat() {
   const playAiAudio = (audioUrl: string) => {
     if (!audioUrl) return;
     try {
-        console.log("[VOICE_UI_LOG]: Playing audio...");
         if (audioRef.current) audioRef.current.pause();
         const audio = new Audio(audioUrl);
         audioRef.current = audio;
@@ -82,39 +79,35 @@ export function VoiceChat() {
   useEffect(() => {
     const SpeechRecognition = (window as any).SpeechRecognition || (window as any).webkitSpeechRecognition;
     if (SpeechRecognition) {
-      console.log("[VOICE_UI_LOG]: Web Speech API Initialized. Language:", lang === 'ar' ? 'ar-EG' : 'en-US');
       const recognition = new SpeechRecognition();
       recognition.continuous = false;
       recognition.lang = lang === 'ar' ? 'ar-EG' : 'en-US';
       recognition.interimResults = false;
 
       recognition.onstart = () => {
-        console.log("[VOICE_UI_LOG]: Recognition STARTED. Listening to user...");
+        console.log("[VOICE_UI_LOG]: Recognition STARTED.");
         setIsListening(true);
       };
 
       recognition.onresult = (event: any) => {
         const spokenText = event.results[0][0].transcript;
-        console.log(`[VOICE_UI_LOG]: User Input Recognized -> "${spokenText}"`);
+        console.log(`[VOICE_UI_LOG]: Recognized -> "${spokenText}"`);
         handleUserSpeech(spokenText);
       };
 
       recognition.onerror = (event: any) => {
-        console.error('[VOICE_UI_LOG]: Speech Recognition Error ->', event.error);
+        console.error('[VOICE_UI_LOG]: Recognition Error ->', event.error);
         if (event.error === 'not-allowed') {
-            toast({ title: 'Microphone Access Denied', description: 'Please enable microphone permissions in your browser.', variant: 'destructive' });
+            toast({ title: 'Microphone Access Denied', variant: 'destructive' });
         }
         setIsListening(false);
       };
       
       recognition.onend = () => {
-          console.log("[VOICE_UI_LOG]: Recognition session ENDED.");
           setIsListening(false);
       }
 
-      recognitionRef.current = recognition; // تم إصلاح هذا الربط ليعمل الميكروفون
-    } else {
-        console.error("[VOICE_UI_LOG]: Web Speech API NOT SUPPORTED in this browser.");
+      recognitionRef.current = recognition;
     }
 
     return () => {
@@ -137,7 +130,6 @@ export function VoiceChat() {
       
       const chatHistory = [...transcript, { speaker: 'user', text }].map(entry => `${entry.speaker}: ${entry.text}`);
       
-      console.log(`[AVADORA_LOG]: Calling AI Engine (${aiEngine})...`);
       const aiTextResponse = await getChatResponse({ 
         chatHistory,
         aiEngine
@@ -145,14 +137,10 @@ export function VoiceChat() {
       
       recordConsumption(); 
       setTranscript(prev => [...prev, { speaker: 'ai', text: aiTextResponse.response }]);
-      console.log(`[AVADORA_LOG]: AI Response Received (${aiTextResponse.modelUsed}): "${aiTextResponse.response}"`);
 
-      // طلب TTS من جهة العميل
       const audioUrl = await fetchTtsFromClient(aiTextResponse.response);
       if (audioUrl) {
           playAiAudio(audioUrl);
-      } else {
-          console.warn("[AVADORA_LOG]: TTS Generation failed or blocked.");
       }
     } catch (error: any) {
       console.error('[AVADORA_CRITICAL_ERROR]:', error.message);
@@ -164,7 +152,7 @@ export function VoiceChat() {
 
   const toggleListening = () => {
     if (!recognitionRef.current) {
-        toast({ title: 'Not Supported', description: 'Your browser or connection (HTTP) lacks voice support.', variant: 'destructive' });
+        toast({ title: 'Not Supported', variant: 'destructive' });
         return;
     }
 

src/contexts/ai-world-context.tsx

@@ -18,7 +18,7 @@ interface AIWorldContextType {
     isLoading: boolean;
     loadNextPage: () => void;
     canLoadMore: boolean;
-    generatePostsFromAI: (topic: string) => Promise<void>;
+    generatePostsFromAI: () => Promise<void>;
     createPostFromUserInput: (content: string) => Promise<void>;
     isGeneratingFromQuery: boolean;
     reactToPost: (postId: string, reaction: string) => void;
@@ -35,7 +35,12 @@ interface AIWorldContextType {
 export const AIWorldContext = createContext<AIWorldContextType>({} as AIWorldContextType);
 
 const POSTS_PER_PAGE = 15;
-const POSTS_TO_GENERATE_AI = 30; // تثبيت العدد عند 30 بدقة
+const POSTS_TO_GENERATE_AI = 30;
+
+const STOP_WORDS = new Set([
+    "في", "من", "على", "إلى", "عن", "مع", "هذا", "هذه", "التي", "الذي", "و", "أو", "إن", "أن", "كان", "كانت", "هو", "هي",
+    "the", "and", "is", "of", "to", "in", "it", "with", "for", "on", "at", "by", "from", "up", "about", "into", "over", "after"
+]);
 
 export const AIWorldProvider: React.FC<{ children: React.ReactNode }> = ({ children }) => {
     const [allPosts, setAllPosts] = useState<PostWithUIState[]>([]);
@@ -85,7 +90,7 @@ export const AIWorldProvider: React.FC<{ children: React.ReactNode }> = ({ child
         isFetchingRef.current = true;
         setIsLoading(true);
 
-        console.log("[AVADORA_ALGO_LOG]: Fetching latest posts for Deep Ranking (Facebook Order)...");
+        console.log("[AVADORA_ALGO_LOG]: Fetching latest posts for Deep Ranking (ADRA Flow)...");
 
         try {
             const postsRef = ref(database, 'posts');
@@ -141,7 +146,7 @@ export const AIWorldProvider: React.FC<{ children: React.ReactNode }> = ({ child
         }
 
         setIsGeneratingFromQuery(true);
-        console.log(`[AVADORA_ALGO_LOG]: Initializing ADRA Generation for exactly ${POSTS_TO_GENERATE_AI} posts via ${aiEngine}...`);
+        console.log(`[AVADORA_ALGO_LOG]: Initializing ADRA Generation for exactly ${POSTS_TO_GENERATE_AI} posts via ${aiEngine} (Gemini 2.5 Flash Lite Preferred)...`);
         try {
             const result = await generatePostIdeas({
                 count: POSTS_TO_GENERATE_AI,
@@ -253,8 +258,8 @@ export const AIWorldProvider: React.FC<{ children: React.ReactNode }> = ({ child
     };
 
     /**
-     * Avadora Deep Ranking Algorithm (ADRA v1)
-     * خوارزمية البحث العميقة التي توازن بين التطابق النصي، التفاعل، والحداثة لتفوق فيسبوك.
+     * Avadora Deep Ranking Algorithm (ADRA v2)
+     * خوارزمية البحث العميقة المحسنة التي تفلتر الكلمات الشائعة وتوازن بين المحتوى والتفاعل.
      */
     const searchPostsInDB = (searchTerm: string) => {
         if (!searchTerm.trim()) {
@@ -264,44 +269,52 @@ export const AIWorldProvider: React.FC<{ children: React.ReactNode }> = ({ child
         }
 
         setIsSearching(true);
-        console.log(`[AVADORA_ALGO_LOG]: ADRA v1 Search initiated for: "${searchTerm}"`);
+        console.log(`[AVADORA_ALGO_LOG]: ADRA v2 Search initiated for: "${searchTerm}"`);
 
         const lowerQuery = searchTerm.toLowerCase().trim();
-        const queryWords = lowerQuery.split(/\s+/);
+        // تنظيف الاستعلام من الكلمات الشائعة لتركيز البحث
+        const queryWords = lowerQuery.split(/\s+/)
+            .filter(word => !STOP_WORDS.has(word) && word.length > 1);
 
         const ranked = allPosts.map(post => {
             let score = 0;
             const content = post.content.toLowerCase();
             const author = post.author.name.toLowerCase();
+            const category = post.category.toLowerCase();
 
-            // 1. التطابق التام للجملة (وزن عالي جداً - أولوية قصوى)
-            if (content.includes(lowerQuery)) score += 1000;
-            if (author.includes(lowerQuery)) score += 500;
+            // 1. التطابق التام للجملة (وزن ذهبي)
+            if (content.includes(lowerQuery)) score += 2000;
+            if (author.includes(lowerQuery)) score += 1000;
 
-            // 2. تطابق الكلمات الفردية (وزن متوسط)
+            // 2. تطابق الكلمات الجوهرية (Smart Word Weighting)
             queryWords.forEach(word => {
-                if (word.length < 2) return;
-                if (content.includes(word)) score += 100;
-                if (author.includes(word)) score += 50;
+                // بونص إذا كانت الكلمة في بداية المنشور
+                if (content.startsWith(word)) score += 500;
+                
+                if (content.includes(word)) score += 200;
+                if (author.includes(word)) score += 100;
+                if (category.includes(word)) score += 300; // مطابقة الفئة ترفع الترتيب
             });
 
-            // 3. عامل التفاعل (Engagement Boost)
+            // 3. عامل التفاعل الذكي (Engagement Boost)
             const likes = post.reactions['like'] || 0;
             const comments = post.comments.length;
-            score += (likes * 20) + (comments * 30);
+            // تقليل وزن التفاعل قليلاً مقارنة بالمحتوى لضمان الدقة
+            score += (likes * 15) + (comments * 25);
 
-            // 4. عامل الحداثة (Recency Multiplier)
+            // 4. عامل الحداثة المتدرج (Recency Multiplier)
             const postDate = new Date(post.createdAt).getTime();
             const ageInHours = (Date.now() - postDate) / (1000 * 60 * 60);
-            if (ageInHours < 12) score += 300; // بونص لأول 12 ساعة
-            else if (ageInHours < 48) score += 150; // بونص لأول يومين
+            if (ageInHours < 6) score += 600; // بونص قوي جداً لأول 6 ساعات
+            else if (ageInHours < 24) score += 300;
+            else if (ageInHours < 72) score += 100;
 
             return { ...post, searchScore: score };
         })
         .filter(post => (post as any).searchScore > 0)
         .sort((a, b) => (b as any).searchScore - (a as any).searchScore);
 
-        console.log(`[AVADORA_ALGO_LOG]: Search finished via ADRA v1. Ranked ${ranked.length} relevant results.`);
+        console.log(`[AVADORA_ALGO_LOG]: ADRA v2 Result: Found ${ranked.length} relevant results with smart scoring.`);
         setSearchedPosts(ranked);
         setIsSearching(false);
     };
@@ -313,7 +326,7 @@ export const AIWorldProvider: React.FC<{ children: React.ReactNode }> = ({ child
         toggleCommentsVisibility: (id) => setAllPosts(prev => prev.map(p => p.id === id ? { ...p, uiState: { ...p.uiState, areCommentsVisible: !p.uiState.areCommentsVisible } } : p)),
         searchPostsInDB, isSearching, searchedPosts, 
         clearSearch: () => { 
-            console.log("[AVADORA_ALGO_LOG]: Search cleared. Resetting Deep Ranking to default timeline.");
+            console.log("[AVADORA_ALGO_LOG]: ADRA v2 Resetting search. Returning to timeline view.");
             setSearchedPosts([]); 
             setIsSearching(false); 
         }

src/lib/gemini-client.ts

@@ -1,7 +1,8 @@
+
 /**
  * @fileOverview المحرك الرئيسي للذكاء الاصطناعي (avadoraworld)
  * المحرك المأمور به: gemini-2.5-flash-lite (أساسي وحصري بالأمر)
- * مفتاح Gemini: AIzaSyA_0i-0yCk9m6ehCIZ87_CKbUMrwlea-_s
+ * مفتاح Gemini المعتمد: AIzaSyA_0i-0yCk9m6ehCIZ87_CKbUMrwlea-_s
  */
 
 const GEMINI_KEY = "AIzaSyA_0i-0yCk9m6ehCIZ87_CKbUMrwlea-_s";
@@ -26,7 +27,7 @@ function extractJsonFromText(text: string): string {
 }
 
 async function callGemini(prompt: string): Promise<string> {
-    console.log(`[AVADORA_DIAGNOSTIC]: Requesting ${GEMINI_MODEL} via Google API...`);
+    console.log(`[AVADORA_DIAGNOSTIC]: Requesting ${GEMINI_MODEL} via Google AI API...`);
     try {
         const response = await fetch(`https://generativelanguage.googleapis.com/v1beta/models/${GEMINI_MODEL}:generateContent?key=${GEMINI_KEY}`, {
             method: 'POST',
@@ -132,11 +133,11 @@ export async function askAI(prompt: string, preferredEngine: 'primary' | 'fallba
             const answer = await provider.fn();
             if (answer) return { success: true, answer, model: provider.name };
         } catch (e) {
-            console.warn(`[AVADORA_DIAGNOSTIC_CHAIN]: ${provider.name} failed. Attempting next provider in chain...`);
+            console.warn(`[AVADORA_DIAGNOSTIC_CHAIN]: ${provider.name} failed. Attempting next provider...`);
         }
     }
 
-    throw new Error("CRITICAL: All AI providers in the chain failed. Check API limits.");
+    throw new Error("CRITICAL: All AI providers failed. Check API limits.");
 }
 
 export const safeGenerateContent = async (prompt: string, aiEngine: 'primary' | 'fallback' | 'advanced' = 'primary'): Promise<{ output: any, model: string }> => {
@@ -147,7 +148,7 @@ export const safeGenerateContent = async (prompt: string, aiEngine: 'primary' |
         const parsed = JSON.parse(cleaned);
         return { output: parsed, model: result.model };
     } catch (error: any) {
-        console.error("[AVADORA_JSON_ERROR]: AI output was not valid JSON. Content: ", result.answer.substring(0, 100));
+        console.error("[AVADORA_JSON_ERROR]: AI output was not valid JSON.");
         throw new Error("AI response was not valid JSON.");
     }
 };