main

prisma/migrations/20260405203800_video_style_enum_to_string/migration.sql

@@ -0,0 +1,12 @@
+-- AlterTable: Convert videoStyle from enum to text (data-safe)
+-- Step 1: Alter columns to TEXT, casting existing enum values to strings
+ALTER TABLE "Project" ALTER COLUMN "videoStyle" DROP DEFAULT;
+ALTER TABLE "Project" ALTER COLUMN "videoStyle" TYPE TEXT USING "videoStyle"::TEXT;
+ALTER TABLE "Project" ALTER COLUMN "videoStyle" SET DEFAULT 'CINEMATIC';
+
+ALTER TABLE "UserPreference" ALTER COLUMN "defaultVideoStyle" DROP DEFAULT;
+ALTER TABLE "UserPreference" ALTER COLUMN "defaultVideoStyle" TYPE TEXT USING "defaultVideoStyle"::TEXT;
+ALTER TABLE "UserPreference" ALTER COLUMN "defaultVideoStyle" SET DEFAULT 'CINEMATIC';
+
+-- Step 2: Drop the enum type (no longer needed)
+DROP TYPE IF EXISTS "VideoStyle";

prisma/schema.prisma

@@ -189,16 +189,8 @@ enum AspectRatio {
   LANDSCAPE_16_9
 }
 
-enum VideoStyle {
+// NOT: VideoStyle artık serbest String — enum kaldırıldı.
-  CINEMATIC
+// Frontend 50+ stil destekliyor, DB enum kısıtlaması kaldırıldı.
-  DOCUMENTARY
-  EDUCATIONAL
-  STORYTELLING
-  NEWS
-  PROMOTIONAL
-  ARTISTIC
-  MINIMALIST
-}
 
 enum MediaType {
   VIDEO_CLIP
@@ -263,7 +255,7 @@ model Project {
   // Configuration
   language        String        @default("tr") @db.VarChar(5) // ISO 639-1
   aspectRatio     AspectRatio   @default(PORTRAIT_9_16)
-  videoStyle      VideoStyle    @default(CINEMATIC)
+  videoStyle      String        @default("CINEMATIC") @db.VarChar(50)
   cinematicReference String?    @db.VarChar(200)
   targetDuration  Int           @default(60) // saniye
   
@@ -599,7 +591,7 @@ model UserPreference {
   
   // Defaults
   defaultLanguage   String  @default("tr") @db.VarChar(5)
-  defaultVideoStyle VideoStyle @default(CINEMATIC)
+  defaultVideoStyle String  @default("CINEMATIC") @db.VarChar(50)
   defaultDuration   Int     @default(60)
   
   // UI

src/modules/gemini/gemini.service.ts

@@ -264,39 +264,58 @@ IMPORTANT: Only output valid JSON, no markdown code blocks or other text.`;
     try {
       this.logger.debug(`🎨 Görsel üretiliyor: "${prompt.substring(0, 80)}..." [${aspectRatio}]`);
 
+      const enhancedPrompt = `Generate a high-quality image for this description: ${prompt}. Style: photorealistic, cinematic lighting, detailed. Aspect ratio: ${aspectRatio}.`;
+
+      // 1) First try the stable Imagen-4 Fast API
+      try {
+        const response = await this.client!.models.generateImages({
+          model: 'imagen-4.0-fast-generate-001',
+          prompt: enhancedPrompt,
+          config: {
+              numberOfImages: 1,
+              aspectRatio: aspectRatio,
+              outputMimeType: 'image/jpeg',
+              personGeneration: 'ALLOW_ALL' as any
+          }
+        });
+        
+        if (response.generatedImages?.[0]?.image?.imageBytes) {
+          const buffer = Buffer.from(response.generatedImages[0].image.imageBytes, 'base64');
+          const mimeType = 'image/jpeg';
+          this.logger.log(`✅ Görsel üretildi (Imagen): ${(buffer.length / 1024).toFixed(1)} KB [${mimeType}]`);
+          return { buffer, mimeType };
+        }
+      } catch (imagenError: any) {
+        this.logger.warn(`Imagen API error, falling back to generateContent... ${imagenError.message}`);
+      }
+
+      // 2) Fallback to Gemini Flash image modalities (experimental feature)
       const response = await this.client!.models.generateContent({
         model: imageModel,
-        contents: [
+        contents: enhancedPrompt,
-          {
-            role: 'user',
-            parts: [
-              {
-                text: `Generate a high-quality image for this description: ${prompt}. Aspect ratio: ${aspectRatio}. Style: photorealistic, cinematic lighting, detailed.`,
-              },
-            ],
-          },
-        ],
         config: {
-          responseModalities: ['TEXT', 'IMAGE'] as any,
+          responseModalities: ['IMAGE', 'TEXT'],
         },
       });
 
-      // Gemini image response'dan image part'ı çıkar
+      // Gemini image generation modeli, inlineData olarak görsel döner
-      const parts = (response as any).candidates?.[0]?.content?.parts || [];
+      const candidate = response.candidates?.[0];
-      for (const part of parts) {
+      const imagePart = candidate?.content?.parts?.find(
-        if (part.inlineData?.data) {
+        (p: any) => p.inlineData?.mimeType?.startsWith('image/'),
-          const buffer = Buffer.from(part.inlineData.data, 'base64');
+      );
-          const mimeType = part.inlineData.mimeType || 'image/png';
 
-          this.logger.log(`✅ Görsel üretildi: ${(buffer.length / 1024).toFixed(1)} KB`);
+      if (imagePart?.inlineData?.data) {
+        const buffer = Buffer.from(imagePart.inlineData.data, 'base64');
+        const mimeType = imagePart.inlineData.mimeType || 'image/png';
+
+        this.logger.log(`✅ Görsel üretildi (Flash): ${(buffer.length / 1024).toFixed(1)} KB [${mimeType}]`);
         return { buffer, mimeType };
       }
-      }
 
-      this.logger.warn('Gemini görsel üretemedi — boş yanıt');
+      this.logger.warn('Gemini görsel üretemedi — response içinde image part bulunamadı');
       return null;
     } catch (error) {
-      this.logger.error(`Gemini görsel üretim hatası: ${error}`);
+      this.logger.error(`Gemini görsel üretim hatası: ${error instanceof Error ? error.message : error}`);
       throw error;
     }
   }

src/modules/projects/dto/project.dto.ts

@@ -17,16 +17,11 @@ export enum AspectRatioDto {
   LANDSCAPE_16_9 = 'LANDSCAPE_16_9',
 }
 
-export enum VideoStyleDto {
+/**
-  CINEMATIC = 'CINEMATIC',
+ * Video stili artık serbest string olarak kabul ediliyor.
-  DOCUMENTARY = 'DOCUMENTARY',
+ * Frontend'de 50+ stil tanımlı (CINEMATIC, ANIME, NOIR, CYBERPUNK vb.).
-  EDUCATIONAL = 'EDUCATIONAL',
+ * Enum kısıtlaması kaldırıldı — yeni stiller eklendiğinde backend güncellemesi gerekmez.
-  STORYTELLING = 'STORYTELLING',
+ */
-  NEWS = 'NEWS',
-  PROMOTIONAL = 'PROMOTIONAL',
-  ARTISTIC = 'ARTISTIC',
-  MINIMALIST = 'MINIMALIST',
-}
 
 export class CreateProjectDto {
   @ApiProperty({ description: 'Proje başlığı', example: 'Boötes Boşluğu' })
@@ -69,13 +64,14 @@ export class CreateProjectDto {
   aspectRatio?: AspectRatioDto;
 
   @ApiPropertyOptional({
-    description: 'Video stili',
+    description: 'Video stili (CINEMATIC, DOCUMENTARY, ANIME, NOIR, CYBERPUNK vb.)',
-    enum: VideoStyleDto,
+    example: 'CINEMATIC',
-    default: VideoStyleDto.CINEMATIC,
+    default: 'CINEMATIC',
   })
-  @IsEnum(VideoStyleDto)
+  @IsString()
   @IsOptional()
-  videoStyle?: VideoStyleDto;
+  @MaxLength(50)
+  videoStyle?: string;
 
   @ApiPropertyOptional({ description: 'Sinematik stil referansı (örn: Wes Anderson, Matrix)' })
   @IsString()
@@ -139,10 +135,13 @@ export class UpdateProjectDto {
   @IsOptional()
   aspectRatio?: AspectRatioDto;
 
-  @ApiPropertyOptional({ enum: VideoStyleDto })
+  @ApiPropertyOptional({
-  @IsEnum(VideoStyleDto)
+    description: 'Video stili (CINEMATIC, DOCUMENTARY, ANIME, NOIR, CYBERPUNK vb.)',
+  })
+  @IsString()
   @IsOptional()
-  videoStyle?: VideoStyleDto;
+  @MaxLength(50)
+  videoStyle?: string;
 
   @ApiPropertyOptional({ description: 'Sinematik stil referansı (örn: Wes Anderson, Matrix)' })
   @IsString()
@@ -196,10 +195,14 @@ export class CreateFromTweetDto {
   @IsOptional()
   aspectRatio?: AspectRatioDto;
 
-  @ApiPropertyOptional({ enum: VideoStyleDto, default: VideoStyleDto.CINEMATIC })
+  @ApiPropertyOptional({
-  @IsEnum(VideoStyleDto)
+    description: 'Video stili (CINEMATIC, DOCUMENTARY, ANIME, NOIR, CYBERPUNK vb.)',
+    default: 'CINEMATIC',
+  })
+  @IsString()
   @IsOptional()
-  videoStyle?: VideoStyleDto;
+  @MaxLength(50)
+  videoStyle?: string;
 
   @ApiPropertyOptional({ description: 'Sinematik stil referansı (örn: Wes Anderson, Matrix)' })
   @IsString()

src/modules/projects/projects.service.ts

@@ -163,14 +163,63 @@ export class ProjectsService {
         ...(dto.language && { language: dto.language }),
         ...(dto.aspectRatio && { aspectRatio: dto.aspectRatio }),
         ...(dto.videoStyle && { videoStyle: dto.videoStyle }),
+        ...(dto.cinematicReference !== undefined && { cinematicReference: dto.cinematicReference }),
         ...(dto.targetDuration && { targetDuration: dto.targetDuration }),
-      },
+      } as any,
     });
 
     this.logger.log(`Proje güncellendi: ${projectId}`);
+    
+    // Stil ya da görsel parametre değiştiyse ve senaryo/sahneler varsa otomatik rewrite başlat
+    const styleChanged =
+      (dto.videoStyle && dto.videoStyle !== project.videoStyle) ||
+      (dto.cinematicReference !== undefined && dto.cinematicReference !== (project as any).cinematicReference) ||
+      (dto.aspectRatio && dto.aspectRatio !== project.aspectRatio);
+
+    if (styleChanged && project.scenes && project.scenes.length > 0) {
+      this.logger.log(`Stil değişikliği tespit edildi (${projectId}), visual promptlar arka planda yenileniyor...`);
+      this.rewriteVisualPromptsBackground(userId, projectId, updated).catch((err) => {
+        this.logger.error(`Arka plan rewriteVisualPrompts hatası: ${err}`);
+      });
+    }
+
     return updated;
   }
 
+  // Arka planda tüm promptları güncelleyen metod
+  private async rewriteVisualPromptsBackground(userId: string, projectId: string, updatedProject: any) {
+    const targetProject = await this.findOne(userId, projectId);
+    if (!targetProject || !targetProject.scenes || targetProject.scenes.length === 0) return;
+
+    try {
+      // Sahnelerin visual prompt'larını yenile (ID'leri ve narration'ları gönderiyoruz)
+      const mappedScenes = targetProject.scenes.map(s => ({
+        id: s.id,
+        order: s.order,
+        narrationText: s.narrationText,
+        visualPrompt: s.visualPrompt
+      }));
+
+      const rewritten = await this.videoAiService.rewriteAllVisualPrompts(
+        mappedScenes,
+        updatedProject.videoStyle,
+        (updatedProject as any).cinematicReference,
+        updatedProject.aspectRatio
+      );
+
+      // Veritabanına kaydet
+      for (const newScene of rewritten) {
+        await this.db.scene.update({
+          where: { id: newScene.id },
+          data: { visualPrompt: newScene.visualPrompt }
+        });
+      }
+      this.logger.log(`Görsel promptlar ${projectId} için başarıyla yenilendi.`);
+    } catch (err) {
+      this.logger.error(`Visual promptları yenileme işlemi başarısız: ${err}`);
+    }
+  }
+
   async remove(userId: string, projectId: string) {
     await this.findOne(userId, projectId);
     await this.db.project.update({
@@ -238,6 +287,7 @@ export class ProjectsService {
         data: {
           scriptJson: scriptJson as object,
           status: 'DRAFT',
+          errorMessage: null,
           scriptVersion: { increment: 1 },
           // SEO & Social metadata (skill-enhanced)
           seoTitle: scriptJson.seo?.title || scriptJson.metadata.title,
@@ -446,6 +496,7 @@ export class ProjectsService {
         data: {
           scriptJson: scriptJson as object,
           status: 'DRAFT',
+          errorMessage: null,
           scriptVersion: 1,
           seoTitle: scriptJson.seo?.title || scriptJson.metadata.title,
           seoDescription: scriptJson.seo?.description || scriptJson.metadata.description,
@@ -548,13 +599,32 @@ export class ProjectsService {
     const prevScene = project.scenes.find((s) => s.order === scene.order - 1);
     const nextScene = project.scenes.find((s) => s.order === scene.order + 1);
 
+    // Stil DNA bilgilerini prompt'a dahil et
+    const cinematicRef = (project as any).cinematicReference || '';
+    const styleDNA = this.videoAiService.getStyleDNA(project.videoStyle, cinematicRef || undefined);
+
     const contextPrompt = `
 Bir video senaryosunun ${scene.order}. sahnesini yeniden üret.
 Proje konusu: ${project.prompt}
 Proje dili: ${project.language}
 Video stili: ${project.videoStyle}
-${prevScene ? `Önceki sahne: "${prevScene.narrationText}"` : ''}
+${cinematicRef ? `Sinematik referans: ${cinematicRef}` : ''}
-${nextScene ? `Sonraki sahne: "${nextScene.narrationText}"` : ''}
+En-boy oranı: ${project.aspectRatio || 'PORTRAIT_9_16'}
+
+═══ GÖRSEL STİL DNA (Bu kurallara KESİNLİKLE uy) ═══
+Referans: ${styleDNA.reference}
+Işık: ${styleDNA.lighting}
+Lens: ${styleDNA.lens}
+Renk: ${styleDNA.color}
+Doku: ${styleDNA.texture}
+═══════════════════════════════════════════
+
+${prevScene ? `Önceki sahne narasyonu: "${prevScene.narrationText}"` : ''}
+${prevScene ? `Önceki sahne visual prompt: "${prevScene.visualPrompt}"` : ''}
+${nextScene ? `Sonraki sahne narasyonu: "${nextScene.narrationText}"` : ''}
+
+ÖNEMLİ: visualPrompt İNGİLİZCE olmalı ve yukarıdaki Stil DNA bilgilerini yansıtmalı.
+Narration ve subtitle ise ${project.language} dilinde olmalı.
 
 Sadece bu tek sahneyi üret. JSON formatında:
 {
@@ -566,18 +636,28 @@ Sadece bu tek sahneyi üret. JSON formatında:
 
     const result = await this.videoAiService.generateSingleScene(contextPrompt);
 
+    // Stil DNA ile visual prompt'u zenginleştir (5-Layer Architecture™)
+    const isHookScene = scene.order === 1;
+    const enrichedVisualPrompt = this.videoAiService.enrichSingleVisualPrompt(
+      result.visualPrompt,
+      project.videoStyle,
+      cinematicRef || undefined,
+      project.aspectRatio,
+      isHookScene,
+    );
+
     const updated = await this.db.scene.update({
       where: { id: sceneId },
       data: {
         narrationText: result.narrationText,
-        visualPrompt: result.visualPrompt,
+        visualPrompt: enrichedVisualPrompt,
         subtitleText: result.subtitleText || result.narrationText,
         duration: result.durationSeconds || scene.duration,
       },
       include: { mediaAssets: true },
     });
 
-    this.logger.log(`Sahne yeniden üretildi: ${sceneId} (proje: ${projectId})`);
+    this.logger.log(`Sahne yeniden üretildi: ${sceneId} (proje: ${projectId}) — Stil: ${project.videoStyle}${cinematicRef ? ', Ref: ' + cinematicRef : ''}`);
     return updated;
   }
 
@@ -603,9 +683,13 @@ Sadece bu tek sahneyi üret. JSON formatında:
     };
     const mappedRatio = aspectRatioMap[project.aspectRatio] || '9:16';
 
-    // Görüntüyü üret
+    // Görüntüyü üret — stil + sinematik referans bilgisini dahil et
+    const cinematicRef = (project as any).cinematicReference || '';
+    const styleLabel = cinematicRef
+      ? `Style: ${project.videoStyle}, Cinematic reference: ${cinematicRef}`
+      : `Style: ${project.videoStyle}`;
     const imageResult = await this.geminiService.generateImage(
-      `${scene.visualPrompt}. Style: ${project.videoStyle}`,
+      `${scene.visualPrompt}. ${styleLabel}`,
       mappedRatio,
     );
     

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

@@ -220,18 +220,17 @@ Every image belongs to a visual universe. Define that universe with specific ref
 
 ❌ BAD: "dark and moody"
 ❌ BAD: "cinematic look"
-✅ GOOD: "Blade Runner 2049 color palette with heavy teal-and-amber contrast, Denis Villeneuve visual language, desolate monumental scale"
+✅ GOOD: "[Detailed color palette from the chosen style], [Director/Cinematographer name] visual language, desolate monumental scale"
-✅ GOOD: "Wes Anderson symmetry with pastel Easter-egg color palette, The Grand Budapest Hotel framing, whimsical yet melancholic tone, perfectly centered subjects"
+✅ GOOD: "[Famous Director] symmetry with pastel color palette, whimsical yet melancholic tone, perfectly centered subjects"
-✅ GOOD: "National Geographic documentary realism, Planet Earth II visual texture, intimate close-up wildlife photography, David Attenborough's visual signature"
+✅ GOOD: "National Geographic documentary realism, intimate close-up photography, true-to-life rendering"
-✅ GOOD: "Studio Ghibli hand-painted watercolor backgrounds with lush green landscapes, Hayao Miyazaki cloudscapes, magical realism atmosphere"
 
 Mood reference options (use 2-3 per scene combined):
-• Film references: "Blade Runner", "Interstellar", "Mad Max: Fury Road", "Spirited Away", "2001: A Space Odyssey", "The Grand Budapest Hotel", "Tenet", "Dune"
+• Film references: Refer to the provided Cinematic Style DNA.
 • Photography references: "Annie Leibovitz portrait lighting", "National Geographic close-up", "Sebastião Salgado black-and-white photojournalism", "Steve McCurry color richness"
 • Art movements: "Renaissance chiaroscuro", "Impressionist broken color", "Art Deco geometry", "Japanese ukiyo-e woodblock", "Bauhaus minimalism", "Surrealist Dalí dreamscapes"
 • Color systems: "70s Kodachrome warm tones", "Fujifilm Velvia saturated", "muted Scandinavian palette", "cyberpunk neon (magenta/teal/violet)", "earthy terracotta and sage"
 
-CRITICAL RULE: Once you establish a visual universe in Scene 1, ALL subsequent scenes MUST stay within that same visual world. If Scene 1 is Blade Runner, Scene 5 cannot suddenly look like Wes Anderson.
+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.
@@ -887,14 +886,14 @@ export class VideoAiService {
   /**
    * Video stiline göre varsayılan görsel DNA değerlerini döndürür.
    */
-  private getStyleDNA(videoStyle: string, cinematicReference?: string): StyleDNA {
+  public getStyleDNA(videoStyle: string, cinematicReference?: string): StyleDNA {
     const dnaMap: Record<string, StyleDNA> = {
       CINEMATIC: {
-        reference: cinematicReference ? `${cinematicReference} visual style and cinematography` : 'Denis Villeneuve and Roger Deakins cinematography',
+        reference: cinematicReference ? `${cinematicReference} visual style and cinematography` : 'High-end cinematic production with professional cinematography techniques',
-        lighting: cinematicReference ? `Iconic lighting setup matching the ${cinematicReference} cinematic style` : 'Dramatic key-and-fill lighting with a single strong motivated source casting deep sculpted shadows.',
+        lighting: cinematicReference ? `Iconic lighting setup matching the ${cinematicReference} cinematic style` : 'Dramatic key-and-fill lighting with motivated light sources, sculpted shadows, and cinematic depth.',
-        lens: cinematicReference ? `Signature camera lens choice and depth of field suitable for ${cinematicReference}` : 'Shot on 35mm anamorphic lens with shallow depth of field f/2.0 and characteristic oval bokeh.',
+        lens: cinematicReference ? `Signature camera lens choice and depth of field suitable for ${cinematicReference}` : 'Shot on 35mm anamorphic lens with cinematic depth of field and professional framing.',
-        color: cinematicReference ? `Color grading and palette uniquely associated with ${cinematicReference}` : 'Teal-and-orange blockbuster color grade with desaturated midtones and crushed blacks.',
+        color: cinematicReference ? `Color grading and palette uniquely associated with ${cinematicReference}` : 'Professional cinematic color grading with balanced contrast, natural skin tones, and atmospheric depth.',
-        texture: cinematicReference ? `Film grain and visual texture evoking the ${cinematicReference} experience` : 'Subtle Kodak Vision3 film grain, anamorphic horizontal lens flare, slight vignette darkening corners.',
+        texture: cinematicReference ? `Film grain and visual texture evoking the ${cinematicReference} experience` : 'Subtle organic film grain, natural lens characteristics, cinematic light bloom on practical sources.',
       },
       DOCUMENTARY: {
         reference: 'National Geographic and Planet Earth II',
@@ -1227,15 +1226,45 @@ export class VideoAiService {
     let parsed: GeneratedScript;
     try {
       let cleanText = rawText.trim();
-      if (cleanText.startsWith('```json')) cleanText = cleanText.slice(7);
+
-      if (cleanText.startsWith('```')) cleanText = cleanText.slice(3);
+      // Pass 1: Markdown code fence temizliği (başta, sonda, ortada)
-      if (cleanText.endsWith('```')) cleanText = cleanText.slice(0, -3);
+      cleanText = cleanText.replace(/^```(?:json)?\s*/i, '');
+      cleanText = cleanText.replace(/\s*```\s*$/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 3: Trailing comma — JSON'da yasak ama Gemini bazen koyuyor
+      cleanText = cleanText.replace(/,\s*([}\]])/g, '$1');
+
       cleanText = cleanText.trim();
+
+      // İlk deneme: Direkt parse
+      try {
         parsed = JSON.parse(cleanText);
       } catch {
-      this.logger.error(`JSON parse hatası: ${rawText.substring(0, 500)}`);
+        // Pass 4: Kesilmiş JSON kurtarma — son geçerli } veya ] bul
+        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 ${cleanText.length - cutPoint - 1} karakter atıldı, kurtarma deneniyor...`);
+          parsed = JSON.parse(truncated);
+        } else {
+          throw new Error('Kurtarılabilir JSON bulunamadı');
+        }
+      }
+    } catch (parseError) {
+      this.logger.error(`JSON parse hatası — İlk 1000 karakter:\n${rawText.substring(0, 1000)}`);
+      this.logger.error(`Parse error: ${parseError instanceof Error ? parseError.message : parseError}`);
       throw new InternalServerErrorException(
-        'AI yanıtı geçerli JSON formatında değil.',
+        'AI yanıtı geçerli JSON formatında değil. Lütfen "Yeniden Üret" butonuyla tekrar deneyin.',
       );
     }
 
@@ -1282,6 +1311,55 @@ export class VideoAiService {
     return parsed;
   }
 
+  /**
+   * Tekil görsel prompt'u stil DNA ile zenginleştirir.
+   * regenerateScene gibi metotlardan dönen ham visualPrompt'a
+   * 5-Layer Architecture™ özelliklerini uygular.
+   */
+  enrichSingleVisualPrompt(
+    visualPrompt: string,
+    videoStyle: string,
+    cinematicReference?: string,
+    aspectRatio?: string,
+    isHookScene: boolean = false,
+  ): string {
+    const styleDNA = this.getStyleDNA(videoStyle, cinematicReference);
+    const defaultNegative = 'Avoid: text overlays, watermarks, brand logos, recognizable celebrity faces, distorted anatomy, extra fingers, blurry faces, stock photo aesthetic, oversaturated CGI plastic look, generic clip art, UI elements';
+    let vp = visualPrompt;
+    const wordCount = vp.split(/\s+/).length;
+    const minWords = isHookScene ? 80 : 50;
+
+    // 1. Minimum kelime kontrolü — eksikse stil DNA'sından zenginleştir
+    if (wordCount < minWords) {
+      vp = this.padVisualPrompt(vp, styleDNA, minWords, isHookScene);
+    }
+
+    // 2. Visual continuity anchor
+    // Önceki prefix'i temizle ki eski stiller yapışıp kalmasın (örn: Blade Runner)
+    vp = vp.replace(/^Continuing the .*? visual language (established in previous scenes|from previous scenes)?:\s*/i, '');
+    
+    if (!isHookScene) {
+      vp = `Continuing the ${styleDNA.reference} visual language established in previous scenes: ${vp}`;
+    }
+
+    // 3. Aspect ratio hint
+    if (aspectRatio && !vp.toLowerCase().includes('framing') && !vp.toLowerCase().includes('composition')) {
+      const arHint = aspectRatio === 'PORTRAIT_9_16'
+        ? 'Vertical framing optimized for mobile viewing.'
+        : aspectRatio === 'LANDSCAPE_16_9'
+          ? 'Wide cinematic horizontal composition.'
+          : 'Square centered symmetrical framing.';
+      vp = `${vp} ${arHint}`;
+    }
+
+    // 4. Negative prompt
+    if (!vp.toLowerCase().includes('avoid:')) {
+      vp = `${vp} ${defaultNegative}`;
+    }
+
+    return vp;
+  }
+
   /**
    * Tekil sahne yeniden üretimi — sınırlı bağlam ile sadece 1 sahne üretir.
    */
@@ -1321,4 +1399,100 @@ export class VideoAiService {
       throw new InternalServerErrorException('Sahne yeniden üretilemedi.');
     }
   }
+
+  /**
+   * Projenin tüm görsel promptlarını yeni bir stil DNA'sıyla yeniden yazar.
+   * Narration ve ID'leri korur, sadece görsel betimlemeleri AI ile baştan yazar.
+   */
+  async rewriteAllVisualPrompts(
+    scenes: { id: string; order: number; narrationText: string; visualPrompt: string }[],
+    videoStyle: string,
+    cinematicReference?: string,
+    aspectRatio?: string,
+  ): Promise<{ id: string; visualPrompt: string }[]> {
+    if (!this.genAI) {
+      throw new InternalServerErrorException('AI servisi etkin değil.');
+    }
+
+    const styleDNA = this.getStyleDNA(videoStyle, cinematicReference);
+
+    const contextPrompt = `
+You are an expert cinematographer. I have a video script with ${scenes.length} scenes.
+I changed the project's visual style. I need you to REWRITE ONLY the "visualPrompt" for each scene so they perfectly match the new style.
+DO NOT change the scene IDs.
+
+═══ NEW STYLE DNA ═══
+Reference: ${styleDNA.reference}
+Lighting: ${styleDNA.lighting}
+Lens: ${styleDNA.lens}
+Color: ${styleDNA.color}
+Texture: ${styleDNA.texture}
+═════════════════════
+
+SCENES:
+${JSON.stringify(
+  scenes.map((s) => ({
+    id: s.id,
+    order: s.order,
+    narrationText: s.narrationText,
+    oldVisualPrompt: s.visualPrompt,
+  })),
+  null,
+  2,
+)}
+
+CRITICAL: 
+- Return valid JSON only.
+- The visual prompts must be extremely descriptive, 50+ words, containing lighting, mood, color, and lens info.
+- Write purely in English.
+- Do NOT include any text overlays or watermarks in the prompts.
+
+OUTPUT FORMAT (JSON ONLY, NO MARKDOWN FENCES):
+{
+  "scenes": [
+    {
+      "id": "SCENE-ID-HERE",
+      "visualPrompt": "new highly detailed cinematic visual prompt here..."
+    }
+  ]
+}
+`;
+
+    try {
+      const response = await this.genAI.models.generateContent({
+        model: this.modelName,
+        contents: contextPrompt,
+        config: {
+          responseMimeType: 'application/json',
+          temperature: 0.7,
+        },
+      });
+
+      const rawText = response.text || '';
+      const cleaned = rawText.replace(/```json\n?/g, '').replace(/```\n?/g, '').trim();
+      const parsed = JSON.parse(cleaned);
+
+      if (!parsed.scenes || !Array.isArray(parsed.scenes)) {
+        throw new Error('Geçersiz yanıt yapısı.');
+      }
+
+      return parsed.scenes.map((s: any) => {
+        // Zenginleştir (continuity anchor + aspect ratio padding vs)
+        const enrichedVp = this.enrichSingleVisualPrompt(
+          s.visualPrompt,
+          videoStyle,
+          cinematicReference,
+          aspectRatio,
+          false,
+        );
+        return {
+          id: s.id,
+          visualPrompt: enrichedVp,
+        };
+      });
+    } catch (error) {
+      this.logger.error(`Toplu prompt yenileme hatası: ${error}`);
+      throw new InternalServerErrorException('Visual promptlar yenilenemedi.');
+    }
+  }
 }

test-gemini-image.ts

@@ -1,26 +0,0 @@
-import { GoogleGenAI } from '@google/genai';
-import * as dotenv from 'dotenv';
-
-dotenv.config();
-
-const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
-
-async function listModels() {
-  console.log('Listing models...');
-  try {
-    let hasImagen = false;
-    let hasPreview = false;
-    // Iterate over pagination using valid SDK method if possible, but let's just use REST if not found.
-    // However, the new `@google/genai` has ai.models.list()
-    const response = await ai.models.list();
-    for await (const m of response) {
-      if (m.name.includes('image') || m.name.includes('imagen')) {
-         console.log(m.name);
-      }
-    }
-  } catch (error) {
-    console.error('Error listing models:', error);
-  }
-}
-
-listModels();

test.js

@@ -0,0 +1,9 @@
+const { PrismaClient } = require('@prisma/client');
+const prisma = new PrismaClient();
+async function main() {
+  const proj = await prisma.project.findFirst({
+    where: { id: "3cbc524a-c536-4706-b531-39053c0cd7a1" }
+  });
+  console.log(proj);
+}
+main().catch(console.error).finally(() => prisma.$disconnect());

test2.js

@@ -0,0 +1,7 @@
+const { PrismaClient } = require('@prisma/client');
+const prisma = new PrismaClient();
+async function main() {
+  const projects = await prisma.project.findMany();
+  console.log(projects.map(p => ({id: p.id, title: p.title})));
+}
+main().catch(console.error).finally(() => prisma.$disconnect());