feat: SEO Power Engine backend updates and remove temp media files

src/modules/video-ai/video-ai.service.ts

@@ -1,6 +1,7 @@
 import { Injectable, Logger, InternalServerErrorException } from '@nestjs/common';
 import { ConfigService } from '@nestjs/config';
 import { GoogleGenAI } from '@google/genai';
+import { jsonrepair } from 'jsonrepair';
 
 export interface ScriptGenerationInput {
   topic: string;
@@ -105,6 +106,8 @@ export interface SeoMetadata {
   description: string;
   keywords: string[];
   hashtags: string[];
+  trendingHashtags?: string[];       // Trend hashtag'ler (AI tahmini)
+  estimatedSearchVolume?: string;    // Anahtar kelimenin tahmini arama hacmi (AI tahmini)
   schemaMarkup: Record<string, unknown>;
 }
 
@@ -117,6 +120,8 @@ export interface GeneratedScript {
     hashtags: string[];
   };
   seo: SeoMetadata;
+  seoTitleAlternatives: string[];    // 5 alternatif SEO başlığı (CTR sıralı)
+  seoScore: number;                  // 0-100 arası SEO güç skoru
   scenes: GeneratedScene[];
   musicPrompt: string;
   musicStyle: string;              // AudioCraft: genre/mood tanımı
@@ -170,13 +175,45 @@ HUMAN WRITING (anti-AI detection):
 - Have opinions. React to facts, don't just report them
 - Acknowledge uncertainty: "I'm not sure how to feel about this" is more human than listing pros/cons neutrally
 
-SEO OPTIMIZATION:
-- Video title: Primary keyword within first 3 words, under 60 characters
-- Description: 2-3 secondary keywords naturally woven in, 150-200 chars
-- Keywords: 8-12 LSI keywords related to the main topic
-- Hashtags: 5-8 hashtags, mix of broad (#Shorts) and niche-specific
+SEO OPTIMIZATION (CRITICAL — REVENUE DRIVER):
+
+SEO TITLE STRATEGY — Generate exactly 5 alternative SEO-optimized titles:
+- Each title MUST use a DIFFERENT hook strategy:
+  1. Curiosity Gap: "The [Topic] Secret Nobody Tells You 🤯"
+  2. Data-Driven: "[Number] [Topic] Facts That Will Blow Your Mind 🔥"
+  3. How-To/Listicle: "How [Topic] Actually Works (Explained) ⚡"
+  4. Emotional: "Why [Topic] Changes Everything You Thought You Knew 😱"
+  5. Contrarian: "[Common Belief About Topic] Is Dead Wrong 💀"
+- Primary keyword within the FIRST 3 WORDS of every title
+- Maximum 60 characters per title (YouTube optimal cut-off)
+- EMOJI STRATEGY: Each title MUST contain 1-2 strategic emojis (🔥⚡🤯😱💀🚀💡🎯✅❌) placed at the end or mid-title to boost CTR by 15-20%
+- Rank them by estimated CTR (Click-Through Rate) — BEST title FIRST
+- Titles must be in the TARGET LANGUAGE
+- The BEST title (index 0) will automatically become the project title
+
+SEO SCORE — Calculate an seoScore (0-100) based on:
+- Keyword placement in title first 3 words: 30 points
+- Curiosity/click-bait factor: 25 points
+- Specificity (numbers, names, data): 20 points
+- Emotional trigger words: 15 points
+- Title length optimization (40-60 chars): 10 points
+
+SEO KEYWORDS & SEARCH VOLUME:
+- Generate 12-15 LSI (Latent Semantic Indexing) keywords
+- For each keyword, estimate relative search volume as: "HIGH", "MEDIUM", or "LOW"
+- Provide this as the seo.estimatedSearchVolume field: a brief summary like "Primary keyword 'elon musk' has HIGH search volume (~500K monthly). Secondary keywords average MEDIUM volume."
+- Include both short-tail (1-2 words) and long-tail (3-5 words) keywords
+
+HASHTAG STRATEGY:
+- Generate 5-8 standard hashtags (mix of broad like #Shorts and niche-specific)
+- Additionally generate 3-5 trendingHashtags: hashtags you estimate to be currently trending on YouTube/TikTok/Instagram based on the topic's virality, seasonality, and cultural relevance
+- Mark trending hashtags separately in seo.trendingHashtags array
+
+SEO DESCRIPTION:
+- Meta description: 150-200 chars, includes 2-3 secondary keywords naturally woven in
 - Schema markup hint for VideoObject structured data
 
+
 MEASUREMENTS:
 - ALWAYS use the METRIC SYSTEM for any measurements (e.g. centimeters, meters, kilograms, liters) in the generated content. 
 - NEVER use imperial units like feet or inches. Translate them to metric if present in the source.
@@ -237,28 +274,29 @@ Mood reference options (use 2-3 per scene combined):
 CRITICAL RULE: Once you establish a visual universe in Scene 1 (based on the provided Style DNA), ALL subsequent scenes MUST stay within that EXACT same visual world. Do not randomly switch styles between scenes.
 
 ━━━ LAYER 3: LIGHTING (Source, Direction, Quality) ━━━
-Lighting is the single most important factor in image quality. Never leave it to chance.
+Lighting is the single most important factor in image quality. Never leave it to chance. You MUST explicitly write "Lighting: [details]" in your prompt.
 
-You must specify THREE lighting properties:
+You must specify THREE lighting properties explicitly:
 A) SOURCE — Where is the light coming from? (sun, neon signs, candle, spotlight, overcast sky, monitor glow)
 B) DIRECTION — From which side relative to camera? (from camera-left, backlighting from behind subject, overhead, from below, rim light from behind-right)
 C) QUALITY — How does the light feel? (soft and diffused through curtains, harsh and directional, dappled through tree leaves, warm golden, cold blue-white clinical)
 
 ❌ BAD: "good lighting" or just "golden hour"
-✅ GOOD: "Late golden hour sunlight raking across the scene from camera-right at a low 15-degree angle, casting long dramatic shadows to the left, warm amber (3200K) backlighting creating a bright rim-light halo around the subject's silhouette, fill light bouncing softly off a nearby white wall on camera-left"
-✅ GOOD: "Harsh overhead fluorescent tubes casting unflattering blue-white (6500K) light with hard-edged shadows directly below every object, a single warm desk lamp in the foreground creating a small pool of amber light that contrasts with the cold clinical environment"
-✅ GOOD: "Diffused overcast daylight filtering through floor-to-ceiling frosted glass panels, creating even, shadowless illumination with a soft pearl-gray quality, punctuated by a single beam of direct sunlight breaking through a gap in the clouds and hitting the subject's hands"
+✅ GOOD: "Lighting: Late golden hour sunlight raking across the scene from camera-right at a low 15-degree angle, casting long dramatic shadows to the left, warm amber (3200K) backlighting creating a bright rim-light halo around the subject's silhouette, fill light bouncing softly off a nearby white wall on camera-left"
+✅ GOOD: "Lighting: Harsh overhead fluorescent tubes casting unflattering blue-white (6500K) light with hard-edged shadows directly below every object, a single warm desk lamp in the foreground creating a small pool of amber light that contrasts with the cold clinical environment"
+✅ GOOD: "Lighting: Diffused overcast daylight filtering through floor-to-ceiling frosted glass panels, creating even, shadowless illumination with a soft pearl-gray quality, punctuated by a single beam of direct sunlight breaking through a gap in the clouds and hitting the subject's hands"
 
-━━━ LAYER 4: COMPOSITION & CAMERA ━━━
-Tell exactly where the camera is, what lens is being used, and how the frame is organized.
+━━━ LAYER 4: COMPOSITION, CAMERA & LENS (Movement, Angle, Lens Type, Continuity) ━━━
+Tell exactly where the camera is, what explicit lens is being used, how the camera moves, and ensure it connects logically with the previous/next scenes. You MUST explicitly write "Camera & Lens: [details]" in your prompt.
 
-A) CAMERA POSITION: "eye-level", "low angle looking up (worm's eye)", "high angle looking down (bird's eye)", "overhead flat lay", "Dutch angle 15-degree tilt", "POV through character's eyes"
-B) CAMERA DISTANCE: "extreme close-up on eyes", "medium close-up chest and up", "medium shot waist up", "full body shot", "wide establishing shot", "extreme wide showing entire landscape"
-C) CAMERA MOVEMENT: "static locked-off tripod", "slow push-in towards subject", "smooth dolly tracking left-to-right", "orbiting 360° around subject", "crane rising up", "handheld with subtle shake"
-D) FRAMING: "rule of thirds with subject on left intersect", "perfectly centered symmetrical", "framed through doorway", "leading lines converging to vanishing point", "negative space in upper third for text overlay"
+A) LENS DETAILS (MANDATORY): Specify the exact focal length and lens type. Examples: "24mm wide-angle lens", "50mm standard prime", "85mm portrait lens", "200mm telephoto compression", "vintage anamorphic lens", "macro lens", "fisheye lens".
+B) CAMERA POSITION/ANGLE: "eye-level", "low angle looking up (worm's eye)", "high angle looking down (bird's eye)", "overhead flat lay", "Dutch angle 15-degree tilt", "POV through character's eyes"
+C) CAMERA DISTANCE: "extreme close-up on eyes", "medium close-up chest and up", "medium shot waist up", "full body shot", "wide establishing shot", "extreme wide showing entire landscape"
+D) CAMERA MOVEMENT (MANDATORY): Specify EXACTLY how the camera moves during the scene. Examples: "slide in from left", "slow push-in (zoom in) towards subject's face", "arch in/orbiting 360° around subject", "smooth dolly tracking right", "crane rising up", "static locked-off tripod", "handheld with subtle shake"
+E) CONTINUITY: Camera movements must make sense across scenes. If Scene 1 ends with a zoom-in, Scene 2 could start with an extreme close-up. If Scene 1 is an establishing wide shot panning right, Scene 2 could be a medium tracking shot moving right.
 
 ❌ BAD: "wide shot of the city"
-✅ GOOD: "Extreme wide establishing shot from a drone at 300 meters altitude, camera slowly descending at 45-degree angle, the ancient temple complex positioned on the lower-right third of frame, leading lines of the river drawing the eye from lower-left foreground to the temple, vast jungle canopy filling the upper two-thirds creating a sense of overwhelming scale, a thin mist layer at the treeline adding depth separation between foreground and background"
+✅ GOOD: "Camera & Lens: Shot on a 24mm wide-angle lens. Extreme wide establishing shot from a drone at 300 meters altitude, smooth crane descending at 45-degree angle while slowly panning right. The ancient temple complex positioned on the lower-right third of frame, leading lines of the river drawing the eye to the temple."
 
 ASPECT RATIO COMPOSITION GUIDE:
 • 9:16 (PORTRAIT — Shorts/Reels): Vertical framing, subject fills center-frame, use foreground-to-background depth, create visual interest through vertical stacking of elements, leave negative space in top or bottom third for text/subtitles
@@ -407,7 +445,7 @@ NARRATION TEXT (IN TARGET LANGUAGE)
 • Scene 1: powerful hook creating instant curiosity
 • Build escalating intrigue through middle scenes
 • End with a thought-provoking statement
-• Word count: targetDuration × 2.5 words/second
+• Word count: targetDuration × 2 words/second (e.g., 120 words for 60s video)
 • Conversational, not academic — like explaining to a smart friend
 • Use rhetorical questions, surprising facts, emotional language
 
@@ -420,14 +458,17 @@ SUBTITLE TEXT (IN TARGET LANGUAGE)
 • Simplify complex narration into punchy visual text
 
 ═══════════════════════════════════
-SCENE STRUCTURE
+SCENE STRUCTURE & CONTINUITY
 ═══════════════════════════════════
 
-• Min 4 scenes, max 10 scenes
-• Scene 1 (HOOK): 2-4 seconds — instant attention
-• Middle scenes: 5-12 seconds each — build the story
-• Final scene (CLOSER): 3-6 seconds — memorable conclusion
-• Total duration: within ±5 seconds of targetDuration
+• AI video generators produce best results in 4-6 second bursts.
+• You MUST generate enough scenes to cover the targetDuration (targetDuration / 5 = approximate scene count).
+• For a 60-second video, you must generate 10 to 15 scenes.
+• Scene 1 (HOOK): 3-5 seconds — instant attention
+• Middle scenes: 4-6 seconds each — continuous visual flow
+• Final scene (CLOSER): 3-5 seconds — memorable conclusion
+• Total duration: within ±2 seconds of targetDuration
+• CONTINUITY: Ensure consecutive visual prompts maintain strict subject, lighting, and camera movement continuity so they blend seamlessly.
 
 TRANSITION TYPES:
 • CUT — Quick, impactful. Most scene changes
@@ -486,12 +527,17 @@ Describe ideal TTS voice with precision for ElevenLabs:
 SOCIAL MEDIA CONTENT
 ═══════════════════════════════════
 
-Generate platform-specific text:
-- youtubeTitle: Primary keyword first, under 60 chars, curiosity-driven
-- youtubeDescription: 500+ chars, include CTA, 2-3 secondary keywords, link placeholder
-- tiktokCaption: Under 150 chars, trending format, 3-5 hashtags
-- instagramCaption: Under 300 chars, emotional hook, 5 hashtags
-- twitterText: Under 280 chars, hot take format, 2 hashtags
+Generate platform-specific text (CTA-POWERED):
+- youtubeTitle: BEST title from the 5 seoTitleAlternatives, under 60 chars, with emoji
+- youtubeDescription: 500+ chars, structured EXACTLY as:
+  → First 2 lines: Hook text (this is what shows before "...more")
+  → 3-4 bullet points of value propositions with emojis
+  → CTA line in target language (e.g., "Beğen, abone ol ve bildirimleri aç 🔔")
+  → 3-5 related hashtags inline
+  → "Chapters:" section with timestamps for each scene if applicable
+- tiktokCaption: Under 150 chars, trending hook format + 3-5 hashtags, CTA: "Kaydet 📌" (in target lang)
+- instagramCaption: Under 300 chars, emotional hook + value + CTA: "Yorum yap 💬" (in target lang) + 10-15 hashtags at end
+- twitterText: Under 280 chars, hot take format + 2 hashtags, CTA: "RT et" (in target lang)
 
 ═══════════════════════════════════
 OUTPUT FORMAT — STRICT JSON ONLY
@@ -508,10 +554,12 @@ Return ONLY valid JSON. No markdown. No backticks. No explanation.
     "hashtags": ["string"] — 5-8 hashtags WITHOUT #
   },
   "seo": {
-    "title": "string — SEO-optimized title, primary keyword first, under 60 chars",
+    "title": "string — BEST SEO-optimized title with emoji, primary keyword first, under 60 chars",
     "description": "string — meta description, 150-200 chars, includes secondary keywords",
-    "keywords": ["string"] — 8-12 LSI keywords,
+    "keywords": ["string"] — 12-15 LSI keywords (short-tail + long-tail mix),
     "hashtags": ["string"] — same as metadata.hashtags,
+    "trendingHashtags": ["string"] — 3-5 hashtags estimated to be currently trending for this topic,
+    "estimatedSearchVolume": "string — brief summary of keyword search volume estimates, e.g. 'Primary keyword X has HIGH volume (~500K/mo)'",
     "schemaMarkup": {
       "@type": "VideoObject",
       "name": "string",
@@ -519,6 +567,8 @@ Return ONLY valid JSON. No markdown. No backticks. No explanation.
       "duration": "string — ISO 8601 format PT##S"
     }
   },
+  "seoTitleAlternatives": ["string"] — exactly 5 alternative SEO titles with emojis, ranked by estimated CTR (best first),
+  "seoScore": number — 0-100 SEO strength score based on: keyword placement (30), curiosity (25), specificity (20), emotion (15), length (10),
   "scenes": [
     {
       "order": 1,
@@ -542,11 +592,11 @@ Return ONLY valid JSON. No markdown. No backticks. No explanation.
   "ambientSoundPrompts": ["string"] — 2-3 project-level ambient sound descriptions for AudioGen,
   "voiceStyle": "string — TTS characteristics for ElevenLabs",
   "socialContent": {
-    "youtubeTitle": "string — under 60 chars",
-    "youtubeDescription": "string — 500+ chars with CTA",
-    "tiktokCaption": "string — under 150 chars",
-    "instagramCaption": "string — under 300 chars",
-    "twitterText": "string — under 280 chars"
+    "youtubeTitle": "string — BEST title from seoTitleAlternatives, under 60 chars, with emoji",
+    "youtubeDescription": "string — 500+ chars with CTA, bullet points, chapters",
+    "tiktokCaption": "string — under 150 chars with CTA",
+    "instagramCaption": "string — under 300 chars with CTA and 10-15 hashtags",
+    "twitterText": "string — under 280 chars with CTA"
   }
 }`;
 
@@ -620,6 +670,99 @@ export class VideoAiService {
     }
   }
 
+  /**
+   * Mevcut bir proje için 5 yeni SEO-optimized başlık üretir.
+   * Her başlık farklı bir hook stratejisi kullanır ve emoji içerir.
+   */
+  async generateAlternativeTitles(
+    topic: string,
+    currentTitle: string,
+    language: string,
+    keywords: string[],
+  ): Promise<{ titles: string[]; seoScore: number }> {
+    this.logger.log(`SEO başlık üretimi başladı — Konu: "${topic}", Dil: ${language}`);
+
+    const titlePrompt = `Generate exactly 5 alternative SEO-optimized video titles for the following topic.
+
+TOPIC: "${topic}"
+CURRENT TITLE: "${currentTitle}"
+LANGUAGE: ${language} (generate titles in THIS language)
+EXISTING KEYWORDS: ${keywords.join(', ')}
+
+RULES:
+1. Each title MUST use a DIFFERENT hook strategy:
+   - Curiosity Gap: Creates an information gap the viewer must fill
+   - Data-Driven: Uses specific numbers, statistics, or data points
+   - How-To/Listicle: Offers practical value or a numbered list
+   - Emotional: Triggers strong emotional response (surprise, fear, excitement)
+   - Contrarian: Challenges conventional wisdom or common beliefs
+
+2. Each title MUST:
+   - Be under 60 characters
+   - Start with the primary keyword in the first 3 words
+   - Include 1-2 strategic emojis (🔥⚡🤯😱💀🚀💡🎯✅❌)
+   - Be significantly DIFFERENT from the current title
+   - Be in ${language} language
+
+3. Rank titles by estimated CTR (best title FIRST)
+
+4. Calculate seoScore (0-100) for the best title:
+   - Keyword in first 3 words: 30pts
+   - Curiosity factor: 25pts
+   - Specificity (numbers/names): 20pts
+   - Emotional trigger: 15pts
+   - Length (40-60 chars): 10pts
+
+Return ONLY valid JSON:
+{
+  "titles": ["best title", "second best", "third", "fourth", "fifth"],
+  "seoScore": number
+}`;
+
+    try {
+      const response = await this.genAI.models.generateContent({
+        model: this.modelName,
+        contents: titlePrompt,
+        config: {
+          temperature: 0.9,
+          topP: 0.95,
+          maxOutputTokens: 2048,
+          responseMimeType: 'application/json',
+        },
+      });
+
+      const rawText = response.text ?? '';
+      if (!rawText.trim()) {
+        throw new InternalServerErrorException('Gemini API boş yanıt döndü.');
+      }
+
+      let parsed: { titles: string[]; seoScore: number };
+      try {
+        parsed = JSON.parse(rawText);
+      } catch {
+        const repaired = jsonrepair(rawText);
+        parsed = JSON.parse(repaired);
+      }
+
+      // Validasyon
+      if (!Array.isArray(parsed.titles) || parsed.titles.length === 0) {
+        throw new Error('titles dizisi boş veya eksik');
+      }
+
+      // En fazla 5 başlık, her biri 60 karakter
+      parsed.titles = parsed.titles.slice(0, 5).map((t: string) => t.substring(0, 60));
+      parsed.seoScore = Math.min(100, Math.max(0, parsed.seoScore || 75));
+
+      this.logger.log(`✅ ${parsed.titles.length} SEO başlığı üretildi — Skor: ${parsed.seoScore}`);
+      return parsed;
+    } catch (error) {
+      this.logger.error(`SEO başlık üretim hatası: ${error instanceof Error ? error.message : 'Bilinmeyen'}`);
+      throw new InternalServerErrorException(
+        `SEO başlık üretimi başarısız: ${error instanceof Error ? error.message : 'API hatası'}`,
+      );
+    }
+  }
+
   /**
    * Uzun metinlerden (kitap, uzun makale vb.) potansiyel video konuları çıkarır.
    * Gemini 1.5 Flash kullanarak 3-4 çarpıcı YouTube video başlığı önerir.
@@ -686,6 +829,9 @@ REQUIREMENTS:
       `- Visual prompts: ALWAYS in English (for AI image/video generation)\n` +
       `- Video style: ${input.videoStyle} — STRICTLY follow the Visual DNA Map for this style\n` +
       `- Aspect ratio: ${input.aspectRatio || 'PORTRAIT_9_16'} — ${aspectRatioGuide}\n` +
+      `- SCENE MATH: Each scene must represent 4-6 seconds of video. Total scenes = Target duration / 5.\n` +
+      `- NARRATION PACING: Strict limit of 2 words per second. For a ${input.targetDurationSeconds}s video, write exactly ~${input.targetDurationSeconds * 2} words total across all scenes.\n` +
+      `- CONTINUITY: Consecutive scenes MUST logically flow into each other. Use matching camera angles, consistent lighting, and coherent subject transitions so the video clips stitch together perfectly.\n` +
       `- Make it viral-worthy, visually stunning, and intellectually captivating\n` +
       `- The first 2 seconds must hook the viewer immediately\n` +
       `- Write narration that sounds HUMAN — avoid AI writing patterns\n` +
@@ -696,11 +842,12 @@ REQUIREMENTS:
 
     // 5-Layer Architecture hatırlatması
     prompt += `\n═══ VISUAL PROMPT REQUIREMENTS (CRITICAL) ═══\n`;
-    prompt += `Each visualPrompt MUST contain ALL 5 layers:\n`;
+    prompt += `Each visualPrompt MUST contain ALL 5 layers AND explicit "Camera:" and "Lighting:" labels:\n`;
     prompt += `1. SUBJECT: Extreme specificity — materials, textures, spatial relationships, lived-in details\n`;
     prompt += `2. MOOD/REFERENCE: Film/art/photography references that define the visual universe\n`;
-    prompt += `3. LIGHTING: Source + Direction + Quality (e.g. "golden hour from camera-right at 15°, warm amber 3200K")\n`;
-    prompt += `4. COMPOSITION: Camera position + distance + movement + framing rules\n`;
+    prompt += `3. LIGHTING: Explicitly label as "Lighting: [Source + Direction + Quality]" (e.g. "Lighting: golden hour from camera-right at 15°, warm amber 3200K")\n`;
+    prompt += `4. COMPOSITION & CAMERA: Explicitly label as "Camera & Lens: [Lens type + Angle + Distance + MOVEMENT]" (e.g. "Camera & Lens: 50mm prime lens, low angle, medium shot, sliding in from left to right, orbiting the subject")\n`;
+    prompt += `   -> CRITICAL: Ensure camera movements are logically consistent and flow smoothly between consecutive scenes.\n`;
     prompt += `5. FINISHING: DOF, film stock, color grade, texture, post-processing\n`;
     prompt += `Each visualPrompt MUST end with "Avoid: [list of things to avoid]"\n`;
     prompt += `Scene 1 establishes the visual world — all subsequent scenes maintain continuity.\n`;
@@ -1282,37 +1429,32 @@ REQUIREMENTS:
     try {
       let cleanText = rawText.trim();
 
-      // Pass 1: Markdown code fence temizliği (başta, sonda, ortada)
+      // Pass 1: Markdown code fence temizliği
       cleanText = cleanText.replace(/^```(?:json)?\s*/i, '');
       cleanText = cleanText.replace(/\s*```\s*$/i, '');
-      // Ortada kalan fence'leri de temizle
       cleanText = cleanText.replace(/```(?:json)?\s*/gi, '');
 
-      // Pass 2: BOM ve kontrol karakterleri temizliği
-      cleanText = cleanText.replace(/^\uFEFF/, '');
-      // JSON-dışı kontrol karakterleri kaldır (tab, newline, CR hariç)
-      cleanText = cleanText.replace(/[\x00-\x08\x0B\x0C\x0E-\x1F]/g, '');
+      // Pass 2: JSON bloğunu izole et
+      const startIndex = cleanText.indexOf('{');
+      const endIndex = cleanText.lastIndexOf('}');
+      if (startIndex >= 0 && endIndex > startIndex) {
+        cleanText = cleanText.substring(startIndex, endIndex + 1);
+      }
 
-      // Pass 3: Trailing comma — JSON'da yasak ama Gemini bazen koyuyor
-      cleanText = cleanText.replace(/,\s*([}\]])/g, '$1');
-
-      cleanText = cleanText.trim();
-
-      // İlk deneme: Direkt parse
+      // Pass 3: jsonrepair ile onar ve parse et
       try {
-        parsed = JSON.parse(cleanText);
-      } catch {
-        // Pass 4: Kesilmiş JSON kurtarma — son geçerli } veya ] bul
+        const repaired = jsonrepair(cleanText);
+        parsed = JSON.parse(repaired);
+      } catch (repairError) {
+        // Eğer jsonrepair doğrudan başaramazsa, en son geçerli kapamaya kadar kesip tekrar deneyelim
         const lastBrace = cleanText.lastIndexOf('}');
-        const lastBracket = cleanText.lastIndexOf(']');
-        const cutPoint = Math.max(lastBrace, lastBracket);
-
-        if (cutPoint > 0) {
-          const truncated = cleanText.substring(0, cutPoint + 1);
-          this.logger.warn(`JSON kesilmiş olabilir — son ${cleanText.length - cutPoint - 1} karakter atıldı, kurtarma deneniyor...`);
-          parsed = JSON.parse(truncated);
+        if (lastBrace > 0) {
+          const truncated = cleanText.substring(0, lastBrace + 1);
+          this.logger.warn(`jsonrepair başarısız, JSON kesilmiş olabilir. Kurtarma deneniyor...`);
+          const repairedTruncated = jsonrepair(truncated);
+          parsed = JSON.parse(repairedTruncated);
         } else {
-          throw new Error('Kurtarılabilir JSON bulunamadı');
+          throw repairError;
         }
       }
     } catch (parseError) {