Initial commit

.gitattributes

@@ -1,2 +0,0 @@
-# Auto detect text files and perform LF normalization
-* text=auto

.gitea/workflows/deploy.yml

@@ -0,0 +1,36 @@
+name: Backend Deploy 🚀
+run-name: ${{ gitea.actor }} backend güncelliyor...
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build-and-deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Kodu Çek
+        uses: actions/checkout@v3
+
+      - name: Docker Build
+        # Dockerfile'ı kullanarak imajı oluşturuyoruz
+        run: docker build -t backend-proje:latest .
+
+      - name: Eski Konteyneri Sil
+        # İlk seferde hata vermemesi için '|| true' ekledik
+        run: docker rm -f backend-container || true
+
+      - name: Yeni Versiyonu Başlat
+        # Secrets kısmından şifreleri alıp konteynere veriyoruz
+        run: |
+          docker run -d \
+            --name backend-container \
+            --restart always \
+            --network gitea-server_gitea \
+            -p 1501:3000 \
+            -e DATABASE_URL='${{ secrets.DATABASE_URL }}' \
+            -e JWT_SECRET='${{ secrets.JWT_SECRET }}' \
+            -e REDIS_HOST='${{ secrets.REDIS_HOST }}' \
+            -e REDIS_PORT='6379' \
+            backend-proje:latest

Dockerfile

@@ -1,49 +1,56 @@
-# Build stage
+# --- Build Stage ---
 FROM node:20-alpine AS builder
 
 WORKDIR /app
 
-# Copy package files
+# Raspberry Pi ve Prisma uyumluluğu için gerekli kütüphaneler
-COPY package*.json ./
+RUN apk add --no-cache openssl libc6-compat
 
-# Install dependencies
+# Paket dosyalarını kopyala
+COPY package*.json ./
 RUN npm ci
 
-# Copy source code
+# Kaynak kodları kopyala
 COPY . .
 
-# Generate Prisma client
+# Prisma client üret (Database şeman için şart)
 RUN npx prisma generate
 
-# Build the application
+# Build al (NestJS/Backend için)
 RUN npm run build
 
-# Production stage
+# --- Production Stage (Canlı Sistem) ---
 FROM node:20-alpine AS production
 
+# Prisma için gerekli kütüphaneleri buraya da ekliyoruz
+RUN apk add --no-cache openssl libc6-compat
+
 WORKDIR /app
 
-# Copy package files
 COPY package*.json ./
 
-# Install production dependencies only
+# Sadece production (canlıda lazım olan) paketleri kur
 RUN npm ci --only=production
 
-# Copy Prisma schema and generate client
+# Prisma şemasını taşı ve client üret
 COPY prisma ./prisma
 RUN npx prisma generate
 
-# Copy built application
+# Build edilen dosyaları taşı (Senin Dockerfile'ındaki yapıya sadık kaldım)
-COPY --from=builder /app/dist ./dist
+# Güvenlik için dosyaları 'node' kullanıcısına zimmetliyoruz
+COPY --chown=node:node --from=builder /app/dist ./dist
 
-# Copy i18n files
+# Eğer i18n varsa onu da taşı
-COPY --from=builder /app/src/i18n ./dist/i18n
+COPY --chown=node:node --from=builder /app/src/i18n ./dist/i18n
 
-# Set environment
+# Ortam değişkeni
 ENV NODE_ENV=production
 
-# Expose port
+# Portu aç
 EXPOSE 3000
 
-# Start the application
+# Güvenlik: Root yerine 'node' kullanıcısına geç
+USER node
+
+# Uygulamayı başlat
 CMD ["node", "dist/main.js"]

ecosystem.config.js

@@ -1,21 +0,0 @@
-module.exports = {
-  apps: [{
-    name: 'skriptai-backend',
-    script: 'dist/main.js',
-    instances: 1,
-    exec_mode: 'cluster',
-    env_production: {
-      NODE_ENV: 'production',
-      PORT: 3000
-    }
-  }, {
-    name: 'skriptai-frontend',
-    script: 'npm',
-    args: 'start -- -p 3001',
-    cwd: '/home/haruncan/apps/skriptai/frontend',
-    env: {
-      NODE_ENV: 'production',
-      PORT: 3001
-    }
-  }]
-};

mds/deploy.md

@@ -0,0 +1,146 @@
+
+```markdown
+# 🚀 Raspberry Pi Proje Dağıtım Rehberi (SSL Güncellemeli)
+
+Bu rehber, mevcut merkezi altyapıyı (Gitea, Runner, Central Database, Nginx) kullanarak yeni NestJS (Backend) ve Next.js (Frontend) projelerini nasıl ayağa kaldıracağını ve **SSL (HTTPS) sorunları yaşamadan** nasıl yayına alacağını adım adım açıklar.
+
+---
+
+## 🏗 1. Altyapı Hazırlığı (Infrastructure)
+
+### A. Veritabanı Oluşturma
+Her yeni proje için merkezi PostgreSQL konteynerinde yeni bir veritabanı açılmalıdır.
+
+```bash
+# PROJE_ADI kısmını küçük harf ve boşluksuz yaz (örn: e_ticaret_db)
+docker exec -it backend_db createdb -U 'Rub1c0N-UseR.!' PROJE_ADI_db
+```
+
+### B. DNS Ayarları
+Domain panelinden (Cloudflare vb.) yeni subdomain'leri Raspberry Pi'nin dış IP'sine yönlendir:
+*   `api-proje.bilgich.com` -> **Raspberry Pi IP**
+*   `ui-proje.bilgich.com` -> **Raspberry Pi IP**
+
+---
+
+## 🔐 2. Gitea Secret Ayarları
+
+**⚠️ Önemli:** Proje canlıya çıkarken SSL kullanacağımız için URL'leri şimdiden **https** olarak tanımlıyoruz.
+
+Gitea reponuzda **Settings > Actions > Secrets** yolunu izleyerek aşağıdaki anahtarları tanımlayın.
+
+### Backend İçin:
+
+| Key | Value Örneği | Açıklama |
+| :--- | :--- | :--- |
+| `DATABASE_URL` | `postgresql://Rub1c0N-UseR.%21:SIFRE%3D@backend_db:5432/PROJE_ADI_db?schema=public` | Özel karakterler encode edilmeli (!=%21, =%3D) |
+| `JWT_SECRET` | `rastgele_uzun_string` | Güvenlik anahtarı |
+
+### Frontend İçin:
+
+| Key | Value Örneği | Açıklama |
+| :--- | :--- | :--- |
+| `NEXT_PUBLIC_API_URL` | `https://api-proje.bilgich.com/api` | **https** olmasına dikkat et |
+| `NEXTAUTH_URL` | `https://ui-proje.bilgich.com` | **https** olmasına dikkat et |
+| `NEXTAUTH_SECRET` | `openssl_rand_base64_32_cikti` | Auth güvenliği için |
+
+---
+
+## 🛠 3. Backend (NestJS) Proje Ayarları
+
+1.  **main.ts:** Global prefix ve Swagger yollarını kontrol et.
+2.  **Dockerfile:** Mevcut çalışan NestJS Dockerfile'ı kullan.
+3.  **deploy.yml Değişiklikleri:**
+    *   `--name backend-PROJE-container` (Her proje için unique isim)
+    *   `-p 150X:3000` (Sıradaki boş port: 1502, 1503...)
+    *   `--network gitea-server_gitea` (Database'e erişim için şart)
+
+---
+
+## 🎨 4. Frontend (Next.js) Proje Ayarları
+
+1.  **next.config.js:** `output: 'standalone'` satırını ekle.
+2.  **Dockerfile:** `ARG` ve `ENV` satırlarına `NEXT_PUBLIC_` değişkenlerini ekle.
+3.  **deploy-ui.yml Değişiklikleri:**
+    *   `--build-arg` ile tüm Gitea secret'larını build aşamasına geç.
+    *   `--name ui-PROJE-container` (Unique isim)
+    *   `-p 180X:3000` (Sıradaki boş port: 1801, 1802...)
+    *   `-e NEXTAUTH_URL` ve `NEXTAUTH_SECRET` runtime değişkenlerini ekle.
+
+---
+
+## 🚦 5. Nginx ve SSL Yönlendirmesi (KRİTİK ADIM)
+
+Diğer projelerle çakışma olmaması için her yeni domain'e mutlaka SSL kurulmalıdır.
+
+### A. Konfigürasyon Dosyası Oluştur
+Backend veya Frontend için dosya oluşturun:
+
+```bash
+sudo nano /etc/nginx/sites-available/proje-api
+# Veya
+sudo nano /etc/nginx/sites-available/proje-ui
+```
+
+### B. İçeriği Yapıştır (Sadece HTTP)
+İlk aşamada sadece 80 portunu dinleyen şu bloğu yapıştırın:
+
+```nginx
+server {
+    listen 80;
+    server_name api-proje.bilgich.com; # Domain adını buraya yaz
+
+    location / {
+        proxy_pass http://127.0.0.1:150X; # Uygulamanın dış portu (1502, 1802 vb.)
+        proxy_http_version 1.1;
+        proxy_set_header Upgrade $http_upgrade;
+        proxy_set_header Connection 'upgrade';
+        proxy_set_header Host $host;
+        proxy_cache_bypass $http_upgrade;
+        
+        # Gerçek IP Logları
+        proxy_set_header X-Real-IP $remote_addr;
+        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    }
+}
+```
+
+### C. Nginx'i Aktif Et
+Dosyayı `sites-enabled` klasörüne linkleyin ve Nginx'i reload edin:
+
+```bash
+sudo ln -s /etc/nginx/sites-available/proje-api /etc/nginx/sites-enabled/
+sudo nginx -t && sudo systemctl reload nginx
+```
+
+### D. SSL Sertifikası Kur (Certbot)
+Bu komut Nginx ayarlarını otomatik güncelleyip 443 portunu açacaktır. Bu adımı yapmazsanız HTTPS girişleri başka projelere yönlenir!
+
+```bash
+sudo certbot --nginx -d api-proje.bilgich.com
+```
+*Soru sorarsa "2" (Redirect) seçeneğini seçin.*
+
+---
+
+## 💡 "Senior" İpuçları & Bakım
+
+### Port Yönetimi (Defteri Kebir)
+Kullandığın portları çakışmaması için mutlaka not et:
+*   **1501:** Digicraft BE
+*   **1502:** YeniProje BE
+*   **1800:** Digicraft UI
+*   **1801:** YeniProje UI
+
+### Disk Temizliği
+Raspberry Pi diski dolmaması için haftalık/aylık temizlik yap:
+```bash
+docker system prune -f
+```
+
+### Log Takibi
+Bir sorun olduğunda ilk buraya bak:
+```bash
+docker logs -f KONTEYNER_ADI
+```
+```

mds/learned_protocols.md

@@ -0,0 +1,65 @@
+# Learned Protocols & Standards
+
+This document serves as the persistent memory of the protocols, standards, and personas learned from the `skript-be` and `skript-ui` repositories.
+
+## 1. Frontend Standards (skript-ui)
+
+### Design & Aesthetics (`frontend-design`)
+- **Anti-AI Slop:** Avoid generic, cookie-cutter "AI" aesthetics (e.g., standard purple gradients, predictable layouts).
+- **Boldness:** Commit to a specific aesthetic direction (Minimalist, Brutalist, Magazine, etc.).
+- **Typography:** Use distinctive fonts; avoid system defaults like Arial/Inter unless intentional.
+- **Micro-interactions:** Prioritize one or two high-impact animations over scattered noise.
+- **Creativity:** Use noise textures, gradient meshes, asymmetry, and overlapping elements.
+
+### Architecture (`senior-frontend` & `nextjs-architecture-expert`)
+- **Next.js App Router:** STRICT adherence to App Router patterns (layouts, error.tsx, loading.tsx).
+- **Server Components (RSC):** Default to Server Components. Use Client Components ('use client') only when interactivity is required.
+- **State Management:** component-first thinking; use Context/Zustand for global state, local state for UI.
+- **Performance:** Aim for sub-3s load times. Use `next/image`, code splitting, and lazy loading.
+- **Tailwind CSS:** Use correctly; avoid long string pollution where possible (use utils/cva).
+
+### Quality Assurance (`senior-qa`)
+- **E2E Testing:** Critical flows must be tested.
+- **Coverage:** High unit test coverage for utilities and complex logic.
+
+## 2. Backend Standards (skript-be)
+
+### Code Quality (`code-reviewer`)
+- **Review:** Verify BEFORE implementing.
+- **Simplicity:** No over-engineering.
+- **Security:** No secrets in code. Input validation is mandatory.
+- **YAGNI:** "You Aren't Gonna Need It" - don't build features "just in case".
+
+### Security (`security-engineer` & `api-security-audit`)
+- **Zero Trust:** Verify every request.
+- **OWASP:** Check against Top 10 (Injection, Broken Auth, etc.).
+- **Data:** Validate all inputs using libraries (e.g., Zod, Joi).
+- **Logging:** Sanitize logs (no PII/secrets).
+
+### Database (`database-optimizer`)
+- **N+1:** Watch out for N+1 queries in loops/ORMs.
+- **Indexing:** Index foreign keys and search columns.
+- **Explain:** Check execution plans for complex queries.
+
+### General Engineering
+- **TypeScript:** Strict mode enabled. No `any`. Use generics and utility types (`typescript-pro`).
+- **Feedback:** "Receive Code Review" protocol – technical correctness > polite agreement. Verify suggestions before applying.
+
+### TypeScript Expertise (`typescript-pro`)
+- **Seniority:** I write *Senior-level* code. This means focusing on maintainability, scalability, and robustness, not just "making it work".
+- **Modern Techniques:** I utilize the latest TypeScript features:
+    - **Advanced Types:** Conditional types, Template Literal Types, Mapped Types.
+    - **Utility Types:** `Pick`, `Omit`, `Partial`, `Readonly`, `ReturnType`, `Parameters`, etc.
+    - **Generics:** Proper constraints (`T extends ...`) and defaults.
+    - **Type Inference:** Leveraging inference where clean, explicit typing where necessary for clarity.
+- **Strictness:**
+    - `noImplicitAny` is law.
+    - Avoid `any` at all costs; use `unknown` with type narrowing/guards if dynamic typing is truly needed.
+    - Strict null checks always on.
+- **Architecture:** Value objects, opaque types, and branded types for domain safety.
+
+## 3. Operational Protocols
+
+- **Agent Persona:** I act as the specific specialist required for the task (e.g., if debugging, I am `debugger`; if designing, I am `frontend-developer`).
+- **Proactiveness:** I do not wait for permission to fix obvious bugs or improve clear performace bottlenecks if they are within scope.
+- **Persistence:** These rules apply to ALL future tasks in this session.

package.json

@@ -1,5 +1,5 @@
 {
-  "name": "skriptAI-be",
+  "name": "bbb",
   "version": "0.0.1",
   "description": "Generated by Antigravity CLI",
   "private": true,
@@ -19,8 +19,7 @@
     "test:e2e": "jest --config ./test/jest-e2e.json"
   },
   "dependencies": {
-    "@aws-sdk/client-s3": "^3.1014.0",
+    "@aws-sdk/client-s3": "^3.964.0",
-    "@aws-sdk/lib-storage": "^3.1014.0",
     "@google/genai": "^1.35.0",
     "@nestjs/bullmq": "^11.0.4",
     "@nestjs/cache-manager": "^3.1.0",
@@ -53,7 +52,7 @@
     "prisma": "^5.22.0",
     "reflect-metadata": "^0.2.2",
     "rxjs": "^7.8.1",
-    "zod": "^4.3.6"
+    "zod": "^4.3.5"
   },
   "devDependencies": {
     "@eslint/eslintrc": "^3.2.0",

prisma/schema.prisma

@@ -25,7 +25,6 @@ model User {
   // Relations
   roles         UserRole[]
   refreshTokens RefreshToken[]
-  projects      ScriptProject[]
   
   // Multi-tenancy (optional)
   tenantId      String?
@@ -161,193 +160,3 @@ model Translation {
   @@index([locale])
   @@index([namespace])
 }
-
-// ============================================
-// SkriptAI Models
-// ============================================
-
-model ScriptProject {
-  id              String   @id @default(uuid())
-  userId          String?
-  topic           String
-  contentType     String   // ContentFormat enum value
-  targetAudience  String[] // Array of TargetAudience values
-  speechStyle     String[] // Array of SpeechStyle values
-  targetDuration  String
-  userNotes       String?  @db.Text
-  tone            String?
-  language        String   @default("tr")
-  logline         String?  @db.Text
-  highConcept     String?  @db.Text
-  includeInterviews Boolean @default(false)
-  
-  // Project Status
-  status          String   @default("DRAFT") // DRAFT, RESEARCHING, SCRIPTING, ANALYZING, COMPLETED
-  currentVersionNumber Int @default(0)
-  
-  // SEO Data (stored as JSON)
-  seoTitle        String?
-  seoDescription  String?  @db.Text
-  seoTags         String[]
-  thumbnailIdeas  String[]
-  
-  // Analysis Results (stored as JSON)
-  neuroAnalysis   Json?
-  youtubeAudit    Json?
-  postProduction  Json?
-  commercialBrief Json?
-  
-  // Timestamps & Soft Delete
-  createdAt       DateTime  @default(now())
-  updatedAt       DateTime  @updatedAt
-  deletedAt       DateTime?
-  
-  // Relations
-  user            User?     @relation(fields: [userId], references: [id])
-  segments        ScriptSegment[]
-  sources         ResearchSource[]
-  characters      CharacterProfile[]
-  briefItems      BriefItem[]
-  visualAssets    VisualAsset[]
-  versions        ScriptVersion[]
-
-  @@index([userId])
-  @@index([topic])
-  @@index([status])
-}
-
-model ScriptSegment {
-  id                String   @id @default(uuid())
-  projectId         String
-  segmentType       String   // Hook, Intro, Body, Ad/Sponsor, CTA, Outro, Scene, Dialogue, Section, Headline
-  timeStart         String
-  duration          String
-  visualDescription String?  @db.Text
-  narratorScript    String?  @db.Text
-  editorNotes       String?  @db.Text
-  generalNotes      String?  @db.Text
-  audioCues         String?
-  onScreenText      String?
-  stockQuery        String?
-  videoPrompt       String?  @db.Text
-  imagePrompt       String?  @db.Text
-  citationIndexes   Int[]
-  generatedImageUrl String?
-  sortOrder         Int      @default(0)
-  
-  // Timestamps
-  createdAt         DateTime @default(now())
-  updatedAt         DateTime @updatedAt
-  
-  // Relations
-  project           ScriptProject @relation(fields: [projectId], references: [id], onDelete: Cascade)
-
-  @@index([projectId])
-  @@index([sortOrder])
-}
-
-model ResearchSource {
-  id        String   @id @default(uuid())
-  projectId String
-  title     String
-  url       String
-  snippet   String?  @db.Text
-  type      String   // article, video, interview, academic, book, document
-  selected  Boolean  @default(true)
-  isNew     Boolean  @default(false)
-  
-  // Timestamps
-  createdAt DateTime @default(now())
-  updatedAt DateTime @updatedAt
-  
-  // Relations
-  project   ScriptProject @relation(fields: [projectId], references: [id], onDelete: Cascade)
-
-  @@index([projectId])
-}
-
-model CharacterProfile {
-  id          String   @id @default(uuid())
-  projectId   String
-  name        String
-  role        String   // Protagonist, Antagonist, Guide/Mentor, Sidekick, Narrator
-  values      String?  @db.Text
-  traits      String?  @db.Text
-  mannerisms  String?  @db.Text
-  
-  // Timestamps
-  createdAt   DateTime @default(now())
-  updatedAt   DateTime @updatedAt
-  
-  // Relations
-  project     ScriptProject @relation(fields: [projectId], references: [id], onDelete: Cascade)
-
-  @@index([projectId])
-}
-
-model BriefItem {
-  id        String   @id @default(uuid())
-  projectId String
-  question  String   @db.Text
-  answer    String   @db.Text
-  sortOrder Int      @default(0)
-  
-  // Timestamps
-  createdAt DateTime @default(now())
-  updatedAt DateTime @updatedAt
-  
-  // Relations
-  project   ScriptProject @relation(fields: [projectId], references: [id], onDelete: Cascade)
-
-  @@index([projectId])
-}
-
-model VisualAsset {
-  id        String   @id @default(uuid())
-  projectId String
-  url       String
-  desc      String?
-  selected  Boolean  @default(true)
-  
-  // Timestamps
-  createdAt DateTime @default(now())
-  updatedAt DateTime @updatedAt
-  
-  // Relations
-  project   ScriptProject @relation(fields: [projectId], references: [id], onDelete: Cascade)
-
-  @@index([projectId])
-}
-
-// ============================================
-// Version History
-// ============================================
-
-model ScriptVersion {
-  id              String   @id @default(uuid())
-  projectId       String
-  versionNumber   Int
-  label           String?  // User-defined label, e.g. "Final Draft", "Before Rewrite"
-  generatedBy     String   @default("AI") // AI | USER | AUTO_SAVE
-  
-  // Snapshot data: complete segments at this point in time
-  snapshotData    Json     // Array of segment objects
-  
-  // Optional: SEO snapshot
-  seoSnapshot     Json?    // { seoTitle, seoDescription, seoTags, thumbnailIdeas }
-  
-  // Metadata
-  segmentCount    Int      @default(0)
-  totalWords      Int      @default(0)
-  changeNote      String?  @db.Text // What changed in this version
-  
-  // Timestamps
-  createdAt       DateTime @default(now())
-  
-  // Relations
-  project         ScriptProject @relation(fields: [projectId], references: [id], onDelete: Cascade)
-
-  @@unique([projectId, versionNumber])
-  @@index([projectId])
-  @@index([createdAt])
-}

skriptai.conf

@@ -1,32 +0,0 @@
-upstream skriptai_backend {
-    server 127.0.0.1:3000;
-}
-
-upstream skriptai_frontend {
-    server 127.0.0.1:3001;
-}
-
-server {
-    listen 80;
-    server_name skript.bilgich.com 192.168.1.199;
-
-    # Frontend (Root)
-    location / {
-        proxy_pass http://skriptai_frontend;
-        proxy_http_version 1.1;
-        proxy_set_header Upgrade $http_upgrade;
-        proxy_set_header Connection 'upgrade';
-        proxy_set_header Host $host;
-        proxy_cache_bypass $http_upgrade;
-    }
-
-    # Backend API
-    location /api {
-        proxy_pass http://skriptai_backend;
-        proxy_http_version 1.1;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-    }
-}

skriptai_catchall.conf

@@ -1,32 +0,0 @@
-upstream skriptai_backend {
-    server 127.0.0.1:3000;
-}
-
-upstream skriptai_frontend {
-    server 127.0.0.1:3001;
-}
-
-server {
-    listen 80 default_server;
-    server_name _;
-
-    # Frontend
-    location / {
-        proxy_pass http://skriptai_frontend;
-        proxy_http_version 1.1;
-        proxy_set_header Upgrade $http_upgrade;
-        proxy_set_header Connection 'upgrade';
-        proxy_set_header Host $host;
-        proxy_cache_bypass $http_upgrade;
-    }
-
-    # Backend API
-    location /api {
-        proxy_pass http://skriptai_backend;
-        proxy_http_version 1.1;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-    }
-}

skriptai_vite.conf

@@ -1,24 +0,0 @@
-upstream skriptai_backend {
-    server 127.0.0.1:3000;
-}
-
-server {
-    listen 80;
-    server_name skript.bilgich.com 192.168.1.199;
-
-    root /var/www/skriptai;
-    index index.html;
-
-    location / {
-        try_files $uri $uri/ /index.html;
-    }
-
-    location /api {
-        proxy_pass http://skriptai_backend;
-        proxy_http_version 1.1;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-    }
-}

src/app.module.ts

@@ -3,7 +3,6 @@ import { ConfigModule, ConfigService } from '@nestjs/config';
 import { APP_FILTER, APP_GUARD, APP_INTERCEPTOR } from '@nestjs/core';
 import { ThrottlerModule, ThrottlerGuard } from '@nestjs/throttler';
 import { CacheModule } from '@nestjs/cache-manager';
-import { BullModule } from '@nestjs/bullmq';
 import { redisStore } from 'cache-manager-redis-yet';
 import { LoggerModule } from 'nestjs-pino';
 import {
@@ -23,7 +22,6 @@ import {
   i18nConfig,
   featuresConfig,
   throttleConfig,
-  storageConfig,
 } from './config/configuration';
 import { geminiConfig } from './modules/gemini/gemini.config';
 import { validateEnv } from './config/env.validation';
@@ -41,8 +39,6 @@ import { UsersModule } from './modules/users/users.module';
 import { AdminModule } from './modules/admin/admin.module';
 import { HealthModule } from './modules/health/health.module';
 import { GeminiModule } from './modules/gemini/gemini.module';
-import { SkriptaiModule } from './modules/skriptai/skriptai.module';
-import { StorageModule } from './modules/storage/storage.module';
 
 // Guards
 import {
@@ -66,23 +62,9 @@ import {
         featuresConfig,
         throttleConfig,
         geminiConfig,
-        storageConfig,
       ],
     }),
 
-    // BullMQ (Queue System)
-    BullModule.forRootAsync({
-      imports: [ConfigModule],
-      inject: [ConfigService],
-      useFactory: (configService: ConfigService) => ({
-        connection: {
-          host: configService.get('redis.host', 'localhost'),
-          port: configService.get('redis.port', 6379),
-          password: configService.get('redis.password', undefined),
-        },
-      }),
-    }),
-
     // Logger (Structured Logging with Pino)
     LoggerModule.forRootAsync({
       imports: [ConfigModule],
@@ -177,8 +159,6 @@ import {
 
     // Optional Modules (controlled by env variables)
     GeminiModule,
-    SkriptaiModule,
-    StorageModule,
     HealthModule,
   ],
   providers: [

src/common/filters/global-exception.filter.ts

@@ -80,7 +80,7 @@ export class GlobalExceptionFilter implements ExceptionFilter {
           });
           // Only update if translation exists (key is different from result)
           if (translatedMessage !== `errors.${message}`) {
-            message = translatedMessage;
+            message = translatedMessage as string;
           }
         }
       } catch {

src/common/helpers/pagination.helper.ts

@@ -1,96 +0,0 @@
-import { Injectable } from '@nestjs/common';
-import { PrismaService } from '../../database/prisma.service';
-
-/**
- * Pagination & Search Helpers
- *
- * Standardized pagination support and full-text search for projects.
- *
- * TR: Sayfalama ve tam metin arama yardımcıları.
- */
-
-export interface PaginationParams {
-  page?: number;
-  limit?: number;
-  sortBy?: string;
-  sortOrder?: 'asc' | 'desc';
-}
-
-export interface PaginatedResult<T> {
-  data: T[];
-  meta: {
-    total: number;
-    page: number;
-    limit: number;
-    totalPages: number;
-    hasNext: boolean;
-    hasPrev: boolean;
-  };
-}
-
-export interface SearchParams extends PaginationParams {
-  query?: string;
-  status?: string;
-  contentType?: string;
-}
-
-/**
- * Build standard pagination options for Prisma
- */
-export function buildPaginationOptions(params: PaginationParams) {
-  const page = Math.max(1, params.page || 1);
-  const limit = Math.min(100, Math.max(1, params.limit || 20));
-  const skip = (page - 1) * limit;
-
-  const orderBy: Record<string, 'asc' | 'desc'> = {};
-  if (params.sortBy) {
-    orderBy[params.sortBy] = params.sortOrder || 'desc';
-  } else {
-    orderBy['updatedAt'] = 'desc';
-  }
-
-  return { skip, take: limit, orderBy, page, limit };
-}
-
-/**
- * Build paginated result from data and total count
- */
-export function buildPaginatedResult<T>(
-  data: T[],
-  total: number,
-  page: number,
-  limit: number,
-): PaginatedResult<T> {
-  const totalPages = Math.ceil(total / limit);
-  return {
-    data,
-    meta: {
-      total,
-      page,
-      limit,
-      totalPages,
-      hasNext: page < totalPages,
-      hasPrev: page > 1,
-    },
-  };
-}
-
-/**
- * Build PostgreSQL full-text search condition
- *
- * Uses Prisma's contains with mode: 'insensitive' for compatibility.
- * For production, consider PostgreSQL tsvector for true FTS.
- */
-export function buildSearchCondition(query?: string) {
-  if (!query || query.trim().length === 0) return {};
-
-  const search = query.trim();
-  return {
-    OR: [
-      { topic: { contains: search, mode: 'insensitive' as const } },
-      { logline: { contains: search, mode: 'insensitive' as const } },
-      { seoTitle: { contains: search, mode: 'insensitive' as const } },
-      { seoDescription: { contains: search, mode: 'insensitive' as const } },
-    ],
-  };
-}

src/common/middleware/correlation-id.middleware.ts

@@ -1,99 +0,0 @@
-import { Injectable, NestMiddleware, Logger } from '@nestjs/common';
-import { Request, Response, NextFunction } from 'express';
-import { randomUUID } from 'crypto';
-
-/**
- * Correlation ID Middleware
- *
- * Assigns a unique correlation ID to every incoming request.
- * The ID is:
- * 1. Read from `x-correlation-id` header (if provided by client/gateway)
- * 2. Or auto-generated as a UUID
- * 3. Set on the response header
- * 4. Attached to the request object for downstream logging
- *
- * TR: Her isteğe benzersiz korelasyon ID'si atar.
- * Loglarda istekleri takip etmek için kullanılır.
- */
-@Injectable()
-export class CorrelationIdMiddleware implements NestMiddleware {
-  private readonly logger = new Logger(CorrelationIdMiddleware.name);
-
-  use(req: Request, res: Response, next: NextFunction) {
-    const correlationId =
-      (req.headers['x-correlation-id'] as string) || randomUUID();
-
-    // Attach to request for downstream use
-    (req as any).correlationId = correlationId;
-
-    // Set on response header
-    res.setHeader('x-correlation-id', correlationId);
-
-    next();
-  }
-}
-
-/**
- * AI Metrics Logger
- *
- * Structured logging helper for AI operations.
- * Logs:
- * - Operation type (generateJSON, generateText, etc.)
- * - Model used
- * - Token usage (input/output)
- * - Duration
- * - Success/failure
- * - Correlation ID
- *
- * TR: AI işlemleri için yapılandırılmış log kaydı.
- */
-export interface AIMetrics {
-  operation: string;
-  model: string;
-  inputTokens?: number;
-  outputTokens?: number;
-  durationMs: number;
-  success: boolean;
-  error?: string;
-  projectId?: string;
-  correlationId?: string;
-}
-
-export function logAIMetrics(logger: Logger, metrics: AIMetrics): void {
-  const { operation, model, inputTokens, outputTokens, durationMs, success } =
-    metrics;
-
-  const tokenInfo =
-    inputTokens !== undefined
-      ? ` | tokens: ${inputTokens}→${outputTokens || '?'}`
-      : '';
-
-  const status = success ? '✅' : '❌';
-
-  logger.log(
-    `${status} AI ${operation} | model: ${model} | ${durationMs}ms${tokenInfo}${metrics.projectId ? ` | project: ${metrics.projectId}` : ''}${metrics.correlationId ? ` | cid: ${metrics.correlationId}` : ''}`,
-  );
-
-  if (!success && metrics.error) {
-    logger.error(`AI ${operation} error: ${metrics.error}`);
-  }
-}
-
-/**
- * Log levels used across the application
- *
- * - DEBUG: Development details, verbose data
- * - INFO: Normal operations, startup, connections
- * - WARN: Recoverable issues, fallbacks, deprecations
- * - ERROR: Failures that need attention
- * - FATAL: Critical failures, shutdown required
- */
-export const LOG_LEVELS = {
-  AI_CALL: 'info',
-  CACHE_HIT: 'debug',
-  CACHE_MISS: 'debug',
-  QUEUE_JOB: 'info',
-  WEBSOCKET_EVENT: 'debug',
-  STORAGE_UPLOAD: 'info',
-  AUTH_EVENT: 'info',
-} as const;

src/common/services/cache-strategy.service.ts

@@ -1,157 +0,0 @@
-import { Injectable, Logger, Inject } from '@nestjs/common';
-import { CACHE_MANAGER } from '@nestjs/cache-manager';
-import type { Cache } from 'cache-manager';
-
-/**
- * CacheStrategyService
- *
- * Centralized cache management for SkriptAI with tagged invalidation.
- *
- * Strategies:
- * - AI Response Cache: Cache expensive AI calls (keyed by prompt hash)
- * - Project Data Cache: Cache project details with smart invalidation
- * - Rate Limiting: Track API call counts per user
- *
- * TR: Merkezi cache yönetimi — AI yanıt cache, proje cache, oran sınırlama.
- */
-@Injectable()
-export class CacheStrategyService {
-  private readonly logger = new Logger(CacheStrategyService.name);
-
-  constructor(@Inject(CACHE_MANAGER) private readonly cache: Cache) {}
-
-  // ========== AI RESPONSE CACHE ==========
-
-  /**
-   * Cache an AI response with a prompt-based key
-   *
-   * @param promptHash - MD5 or similar hash of the prompt
-   * @param data - AI response data
-   * @param ttlMs - Time to live in ms (default: 30 min)
-   */
-  async cacheAIResponse(
-    promptHash: string,
-    data: any,
-    ttlMs: number = 30 * 60 * 1000,
-  ): Promise<void> {
-    const key = `ai:${promptHash}`;
-    try {
-      await this.cache.set(key, JSON.stringify(data), ttlMs);
-      this.logger.debug(`AI response cached: ${key}`);
-    } catch (error) {
-      this.logger.warn(`Cache set failed: ${key}`, error);
-    }
-  }
-
-  /**
-   * Get a cached AI response
-   */
-  async getCachedAIResponse<T = any>(promptHash: string): Promise<T | null> {
-    const key = `ai:${promptHash}`;
-    try {
-      const cached = await this.cache.get<string>(key);
-      if (cached) {
-        this.logger.debug(`AI cache hit: ${key}`);
-        return JSON.parse(cached);
-      }
-    } catch (error) {
-      this.logger.warn(`Cache get failed: ${key}`, error);
-    }
-    return null;
-  }
-
-  // ========== PROJECT DATA CACHE ==========
-
-  /**
-   * Cache project data
-   */
-  async cacheProject(
-    projectId: string,
-    data: any,
-    ttlMs: number = 5 * 60 * 1000,
-  ): Promise<void> {
-    const key = `project:${projectId}`;
-    try {
-      await this.cache.set(key, JSON.stringify(data), ttlMs);
-    } catch {
-      /* silent */
-    }
-  }
-
-  /**
-   * Get cached project data
-   */
-  async getCachedProject<T = any>(projectId: string): Promise<T | null> {
-    const key = `project:${projectId}`;
-    try {
-      const cached = await this.cache.get<string>(key);
-      return cached ? JSON.parse(cached) : null;
-    } catch {
-      return null;
-    }
-  }
-
-  /**
-   * Invalidate project cache (call after any project mutation)
-   */
-  async invalidateProject(projectId: string): Promise<void> {
-    try {
-      await this.cache.del(`project:${projectId}`);
-      this.logger.debug(`Project cache invalidated: ${projectId}`);
-    } catch {
-      /* silent */
-    }
-  }
-
-  // ========== RATE LIMITING ==========
-
-  /**
-   * Check and increment rate limit counter
-   *
-   * @param userId - User identifier
-   * @param action - Action name (e.g., 'ai-call')
-   * @param maxPerWindow - Max calls per window
-   * @param windowMs - Window duration in ms (default: 1 min)
-   * @returns { allowed, remaining, resetIn }
-   */
-  async checkRateLimit(
-    userId: string,
-    action: string,
-    maxPerWindow: number = 10,
-    windowMs: number = 60 * 1000,
-  ): Promise<{ allowed: boolean; remaining: number; resetIn: number }> {
-    const key = `rate:${userId}:${action}`;
-    try {
-      const current = await this.cache.get<string>(key);
-      const count = current ? parseInt(current, 10) : 0;
-
-      if (count >= maxPerWindow) {
-        return { allowed: false, remaining: 0, resetIn: windowMs };
-      }
-
-      await this.cache.set(key, String(count + 1), windowMs);
-      return {
-        allowed: true,
-        remaining: maxPerWindow - count - 1,
-        resetIn: windowMs,
-      };
-    } catch {
-      return { allowed: true, remaining: maxPerWindow, resetIn: windowMs };
-    }
-  }
-
-  // ========== UTILITY ==========
-
-  /**
-   * Generate a simple hash from prompt text (deterministic)
-   */
-  hashPrompt(prompt: string): string {
-    let hash = 0;
-    for (let i = 0; i < prompt.length; i++) {
-      const char = prompt.charCodeAt(i);
-      hash = (hash << 5) - hash + char;
-      hash |= 0; // Convert to 32bit integer
-    }
-    return Math.abs(hash).toString(36);
-  }
-}

src/config/configuration.ts

@@ -55,12 +55,3 @@ export const throttleConfig = registerAs('throttle', () => ({
   ttl: parseInt(process.env.THROTTLE_TTL || '60000', 10),
   limit: parseInt(process.env.THROTTLE_LIMIT || '100', 10),
 }));
-
-export const storageConfig = registerAs('storage', () => ({
-  enabled: process.env.STORAGE_ENABLED === 'true',
-  endpoint: process.env.STORAGE_ENDPOINT || 'http://192.168.1.199:9000',
-  accessKey: process.env.STORAGE_ACCESS_KEY || 'minioadmin',
-  secretKey: process.env.STORAGE_SECRET_KEY || 'minioadmin',
-  bucket: process.env.STORAGE_BUCKET || 'skriptai-assets',
-  publicUrl: process.env.STORAGE_PUBLIC_URL || 'http://192.168.1.199:9000',
-}));

src/config/env.validation.ts

@@ -24,7 +24,7 @@ export const envSchema = z.object({
 
   // JWT
   JWT_SECRET: z.string().min(32),
-  JWT_ACCESS_EXPIRATION: z.string().default('24h'),
+  JWT_ACCESS_EXPIRATION: z.string().default('15m'),
   JWT_REFRESH_EXPIRATION: z.string().default('7d'),
 
   // Redis

src/config/languages.ts

@@ -1,67 +0,0 @@
-/**
- * Supported Languages Configuration
- *
- * Faz 5.1 — Çoklu dil genişletme altyapısı.
- * Yeni diller eklemek için bu dosyaya ekleme yapın.
- *
- * TR: Desteklenen diller ve RTL yapılandırması.
- */
-
-export interface LanguageConfig {
-  code: string;
-  name: string;
-  nativeName: string;
-  flag: string;
-  rtl: boolean;
-  enabled: boolean;
-}
-
-export const SUPPORTED_LANGUAGES: LanguageConfig[] = [
-  { code: 'tr', name: 'Turkish', nativeName: 'Türkçe', flag: '🇹🇷', rtl: false, enabled: true },
-  { code: 'en', name: 'English', nativeName: 'English', flag: '🇬🇧', rtl: false, enabled: true },
-  { code: 'ar', name: 'Arabic', nativeName: 'العربية', flag: '🇸🇦', rtl: true, enabled: false },
-  { code: 'es', name: 'Spanish', nativeName: 'Español', flag: '🇪🇸', rtl: false, enabled: false },
-  { code: 'de', name: 'German', nativeName: 'Deutsch', flag: '🇩🇪', rtl: false, enabled: false },
-  { code: 'fr', name: 'French', nativeName: 'Français', flag: '🇫🇷', rtl: false, enabled: false },
-  { code: 'ja', name: 'Japanese', nativeName: '日本語', flag: '🇯🇵', rtl: false, enabled: false },
-  { code: 'ko', name: 'Korean', nativeName: '한국어', flag: '🇰🇷', rtl: false, enabled: false },
-  { code: 'zh', name: 'Chinese', nativeName: '中文', flag: '🇨🇳', rtl: false, enabled: false },
-  { code: 'pt', name: 'Portuguese', nativeName: 'Português', flag: '🇧🇷', rtl: false, enabled: false },
-  { code: 'ru', name: 'Russian', nativeName: 'Русский', flag: '🇷🇺', rtl: false, enabled: false },
-  { code: 'hi', name: 'Hindi', nativeName: 'हिन्दी', flag: '🇮🇳', rtl: false, enabled: false },
-];
-
-/**
- * Get only enabled languages
- */
-export function getEnabledLanguages(): LanguageConfig[] {
-  return SUPPORTED_LANGUAGES.filter((l) => l.enabled);
-}
-
-/**
- * Check if language is RTL
- */
-export function isRTL(code: string): boolean {
-  return SUPPORTED_LANGUAGES.find((l) => l.code === code)?.rtl ?? false;
-}
-
-/**
- * Get language config by code
- */
-export function getLanguageConfig(code: string): LanguageConfig | undefined {
-  return SUPPORTED_LANGUAGES.find((l) => l.code === code);
-}
-
-/**
- * AI Prompt language instruction map
- * Used to instruct the AI about output language characteristics
- */
-export const LANGUAGE_INSTRUCTIONS: Record<string, string> = {
-  tr: 'Doğal, akıcı Türkçe kullan. Argo ve günlük dil kullanımına dikkat et.',
-  en: 'Use natural, fluent English. Match the requested tone and style.',
-  ar: 'استخدم اللغة العربية الفصحى الحديثة مع مراعاة الأسلوب المطلوب',
-  es: 'Utiliza español natural y fluido. Adapta el tono según lo solicitado.',
-  de: 'Verwende natürliches, flüssiges Deutsch. Passe den Ton an den gewünschten Stil an.',
-  fr: 'Utilise un français naturel et fluide. Adapte le ton au style demandé.',
-  ja: '自然で流暢な日本語を使用してください。要求されたトーンとスタイルに合わせてください。',
-};

src/i18n/en/skriptai.json

@@ -1,18 +0,0 @@
-{
-    "PROJECT_CREATED": "Project created successfully",
-    "PROJECT_UPDATED": "Project updated",
-    "PROJECT_DELETED": "Project deleted",
-    "PROJECT_DUPLICATED": "Project duplicated",
-    "SCRIPT_GENERATED": "Script generated successfully",
-    "SCRIPT_REWRITTEN": "Segment rewritten",
-    "RESEARCH_COMPLETE": "Research completed",
-    "SOURCES_ADDED": "Sources added",
-    "BRIEF_UPDATED": "Brief updated",
-    "CHARACTERS_GENERATED": "Characters generated",
-    "LOGLINE_GENERATED": "Logline and high concept generated",
-    "NEURO_ANALYSIS_COMPLETE": "Neuro marketing analysis completed",
-    "YOUTUBE_AUDIT_COMPLETE": "YouTube audit completed",
-    "COMMERCIAL_BRIEF_READY": "Commercial brief ready",
-    "EXPORT_READY": "Export ready",
-    "VISUAL_ASSETS_GENERATED": "Visual assets generated"
-}

src/i18n/tr/skriptai.json

@@ -1,18 +0,0 @@
-{
-    "PROJECT_CREATED": "Proje başarıyla oluşturuldu",
-    "PROJECT_UPDATED": "Proje güncellendi",
-    "PROJECT_DELETED": "Proje silindi",
-    "PROJECT_DUPLICATED": "Proje kopyalandı",
-    "SCRIPT_GENERATED": "Script başarıyla oluşturuldu",
-    "SCRIPT_REWRITTEN": "Segment yeniden yazıldı",
-    "RESEARCH_COMPLETE": "Araştırma tamamlandı",
-    "SOURCES_ADDED": "Kaynaklar eklendi",
-    "BRIEF_UPDATED": "Brief güncellendi",
-    "CHARACTERS_GENERATED": "Karakterler oluşturuldu",
-    "LOGLINE_GENERATED": "Logline ve high concept oluşturuldu",
-    "NEURO_ANALYSIS_COMPLETE": "Nöro pazarlama analizi tamamlandı",
-    "YOUTUBE_AUDIT_COMPLETE": "YouTube denetimi tamamlandı",
-    "COMMERCIAL_BRIEF_READY": "Ticari brief hazır",
-    "EXPORT_READY": "Dışa aktarım hazır",
-    "VISUAL_ASSETS_GENERATED": "Görsel varlıklar oluşturuldu"
-}

src/main.ts

@@ -18,7 +18,10 @@ async function bootstrap() {
   app.useGlobalInterceptors(new LoggerErrorInterceptor());
 
   // Security Headers
-  app.use(helmet());
+  app.use(helmet({
+    contentSecurityPolicy: false,
+    crossOriginEmbedderPolicy: false,
+  }));
 
   // Graceful Shutdown (Prisma & Docker)
   app.enableShutdownHooks();

src/modules/gemini/context-manager.service.ts

@@ -1,292 +0,0 @@
-import { Injectable, Logger } from '@nestjs/common';
-import {
-  estimateTokens,
-  estimateTokensForSegments,
-  getModelLimits,
-  analyzeTokenUsage,
-  TokenUsageReport,
-} from './token-counter';
-
-/**
- * Context Priority Levels
- * Higher priority = kept during trimming, lower = removed first
- */
-export enum ContextPriority {
-  CRITICAL = 100,   // System instructions, schema
-  HIGH = 80,        // Topic, logline, key brief items
-  MEDIUM = 60,      // Sources, characters
-  LOW = 40,         // Extended notes, enrichment data
-  OPTIONAL = 20,    // Visual descriptions, editor notes
-}
-
-export interface ContextBlock {
-  id: string;
-  content: string;
-  priority: ContextPriority;
-  estimatedTokens: number;
-  label: string;
-  truncatable: boolean;
-}
-
-/**
- * ContextManagerService
- *
- * Manages the context window for AI prompts. Intelligently assembles
- * context blocks within token limits, trimming low-priority content first.
- *
- * Strategy:
- * 1. Each piece of context is tagged with a priority level
- * 2. Blocks are sorted by priority (highest first)
- * 3. Blocks are added until the budget is reached
- * 4. Truncatable blocks can be partially included
- *
- * TR: AI prompt'ları için bağlam penceresi yöneticisi.
- * Öncelik sırasına göre akıllı kırpma yapar.
- */
-@Injectable()
-export class ContextManagerService {
-  private readonly logger = new Logger(ContextManagerService.name);
-
-  /**
-   * Build optimized context string from blocks within token budget
-   *
-   * @param blocks - Array of context blocks
-   * @param model - Model name for limit lookup
-   * @param language - Language for token estimation
-   * @param reserveForOutput - Reserve tokens for AI output (default: 8000)
-   * @returns Assembled context within budget
-   */
-  assembleContext(
-    blocks: ContextBlock[],
-    model: string,
-    language: string = 'en',
-    reserveForOutput: number = 8000,
-  ): {
-    context: string;
-    includedBlocks: string[];
-    excludedBlocks: string[];
-    report: TokenUsageReport;
-  } {
-    const limits = getModelLimits(model);
-    const budget = limits.safeInput - reserveForOutput;
-
-    // Sort by priority (highest first)
-    const sorted = [...blocks].sort((a, b) => b.priority - a.priority);
-
-    let currentTokens = 0;
-    const includedParts: string[] = [];
-    const includedIds: string[] = [];
-    const excludedIds: string[] = [];
-
-    for (const block of sorted) {
-      if (currentTokens + block.estimatedTokens <= budget) {
-        // Full include
-        includedParts.push(block.content);
-        includedIds.push(block.id);
-        currentTokens += block.estimatedTokens;
-      } else if (block.truncatable && currentTokens < budget) {
-        // Partial include — truncate to fit
-        const remainingBudget = budget - currentTokens;
-        const truncated = this.truncateToTokens(
-          block.content,
-          remainingBudget,
-          language,
-        );
-        if (truncated.length > 0) {
-          includedParts.push(truncated + '\n[... içerik kırpıldı ...]');
-          includedIds.push(`${block.id} (kırpılmış)`);
-          currentTokens += estimateTokens(truncated, language);
-        } else {
-          excludedIds.push(block.id);
-        }
-      } else {
-        excludedIds.push(block.id);
-      }
-    }
-
-    const assembledContext = includedParts.join('\n\n');
-    const report = analyzeTokenUsage(assembledContext, model, language);
-
-    if (excludedIds.length > 0) {
-      this.logger.warn(
-        `Context trimmed: excluded ${excludedIds.length} blocks — ${excludedIds.join(', ')}`,
-      );
-    }
-
-    return {
-      context: assembledContext,
-      includedBlocks: includedIds,
-      excludedBlocks: excludedIds,
-      report,
-    };
-  }
-
-  /**
-   * Create context blocks from project data
-   * Standardized way to build context for any AI operation
-   */
-  buildProjectContextBlocks(project: {
-    topic: string;
-    logline?: string | null;
-    contentType: string;
-    targetAudience: string[];
-    speechStyle: string[];
-    language: string;
-    userNotes?: string | null;
-    sources?: { title: string; snippet: string; type: string }[];
-    briefItems?: { question: string; answer: string }[];
-    characters?: { name: string; role: string; values: string; traits: string; mannerisms: string }[];
-    segments?: { narratorScript?: string | null; visualDescription?: string | null; segmentType: string }[];
-  }): ContextBlock[] {
-    const lang = project.language || 'en';
-    const blocks: ContextBlock[] = [];
-
-    // CRITICAL: Topic & Core Info
-    const coreInfo = [
-      `Konu: ${project.topic}`,
-      project.logline ? `Logline: ${project.logline}` : '',
-      `İçerik Tipi: ${project.contentType}`,
-      `Hedef Kitle: ${project.targetAudience.join(', ')}`,
-      `Konuşma Stili: ${project.speechStyle.join(', ')}`,
-      `Dil: ${project.language}`,
-    ]
-      .filter(Boolean)
-      .join('\n');
-
-    blocks.push({
-      id: 'core-info',
-      content: coreInfo,
-      priority: ContextPriority.CRITICAL,
-      estimatedTokens: estimateTokens(coreInfo, lang),
-      label: 'Core Project Info',
-      truncatable: false,
-    });
-
-    // HIGH: Brief items
-    if (project.briefItems?.length) {
-      const briefText = project.briefItems
-        .map((b) => `S: ${b.question}\nC: ${b.answer}`)
-        .join('\n\n');
-      blocks.push({
-        id: 'brief-items',
-        content: briefText,
-        priority: ContextPriority.HIGH,
-        estimatedTokens: estimateTokens(briefText, lang),
-        label: 'Brief Items',
-        truncatable: true,
-      });
-    }
-
-    // MEDIUM: Characters
-    if (project.characters?.length) {
-      const charText = project.characters
-        .map(
-          (c) =>
-            `${c.name} (${c.role}): Değerler[${c.values}] Özellikler[${c.traits}] Tavırlar[${c.mannerisms}]`,
-        )
-        .join('\n');
-      blocks.push({
-        id: 'characters',
-        content: charText,
-        priority: ContextPriority.MEDIUM,
-        estimatedTokens: estimateTokens(charText, lang),
-        label: 'Characters',
-        truncatable: true,
-      });
-    }
-
-    // MEDIUM: Sources
-    if (project.sources?.length) {
-      const srcText = project.sources
-        .slice(0, 5)
-        .map(
-          (s, i) =>
-            `[Kaynak ${i + 1}] (${s.type}): ${s.title} — ${s.snippet}`,
-        )
-        .join('\n');
-      blocks.push({
-        id: 'sources',
-        content: srcText,
-        priority: ContextPriority.MEDIUM,
-        estimatedTokens: estimateTokens(srcText, lang),
-        label: 'Research Sources',
-        truncatable: true,
-      });
-    }
-
-    // LOW: User notes
-    if (project.userNotes) {
-      blocks.push({
-        id: 'user-notes',
-        content: project.userNotes,
-        priority: ContextPriority.LOW,
-        estimatedTokens: estimateTokens(project.userNotes, lang),
-        label: 'User Notes',
-        truncatable: true,
-      });
-    }
-
-    // OPTIONAL: Existing segments (for context in regeneration)
-    if (project.segments?.length) {
-      const segText = project.segments
-        .map(
-          (s, i) =>
-            `[Segment ${i + 1} — ${s.segmentType}]: ${s.narratorScript || ''}`,
-        )
-        .join('\n');
-      blocks.push({
-        id: 'existing-segments',
-        content: segText,
-        priority: ContextPriority.OPTIONAL,
-        estimatedTokens: estimateTokens(segText, lang),
-        label: 'Existing Segments',
-        truncatable: true,
-      });
-    }
-
-    return blocks;
-  }
-
-  /**
-   * Get token usage report for a text
-   */
-  getUsageReport(
-    text: string,
-    model: string,
-    language: string = 'en',
-  ): TokenUsageReport {
-    return analyzeTokenUsage(text, model, language);
-  }
-
-  /**
-   * Estimate tokens for segments
-   */
-  estimateSegmentTokens(
-    segments: { narratorScript?: string; visualDescription?: string }[],
-    language: string = 'en',
-  ): number {
-    return estimateTokensForSegments(segments, language);
-  }
-
-  // ========== HELPERS ==========
-
-  private truncateToTokens(
-    text: string,
-    maxTokens: number,
-    language: string,
-  ): string {
-    // Estimate ratio and truncate by sentences to avoid cutting mid-sentence
-    const sentences = text.split(/(?<=[.!?。？！])\s+/);
-    let result = '';
-    let currentTokens = 0;
-
-    for (const sentence of sentences) {
-      const sentenceTokens = estimateTokens(sentence, language);
-      if (currentTokens + sentenceTokens > maxTokens) break;
-      result += (result ? ' ' : '') + sentence;
-      currentTokens += sentenceTokens;
-    }
-
-    return result;
-  }
-}

src/modules/gemini/gemini.module.ts

@@ -1,8 +1,6 @@
 import { Module, Global } from '@nestjs/common';
 import { ConfigModule } from '@nestjs/config';
 import { GeminiService } from './gemini.service';
-import { ContextManagerService } from './context-manager.service';
-import { MapReduceService } from './map-reduce.service';
 import { geminiConfig } from './gemini.config';
 
 /**
@@ -10,16 +8,11 @@ import { geminiConfig } from './gemini.config';
  *
  * Optional module for AI-powered features using Google Gemini API.
  * Enable by setting ENABLE_GEMINI=true in your .env file.
- *
- * Includes:
- * - GeminiService: Core AI text/JSON/image generation
- * - ContextManagerService: Token-aware context window management
- * - MapReduceService: Large content analysis via chunking
  */
 @Global()
 @Module({
   imports: [ConfigModule.forFeature(geminiConfig)],
-  providers: [GeminiService, ContextManagerService, MapReduceService],
+  providers: [GeminiService],
-  exports: [GeminiService, ContextManagerService, MapReduceService],
+  exports: [GeminiService],
 })
 export class GeminiModule {}

src/modules/gemini/gemini.service.ts

@@ -1,18 +1,12 @@
 import { Injectable, OnModuleInit, Logger } from '@nestjs/common';
 import { ConfigService } from '@nestjs/config';
 import { GoogleGenAI } from '@google/genai';
-import { ZodSchema, ZodError } from 'zod';
-
-// ============================================
-// Types & Interfaces
-// ============================================
 
 export interface GeminiGenerateOptions {
   model?: string;
   systemPrompt?: string;
   temperature?: number;
   maxTokens?: number;
-  tools?: any[];
 }
 
 export interface GeminiChatMessage {
@@ -20,72 +14,30 @@ export interface GeminiChatMessage {
   content: string;
 }
 
-export interface GeminiJSONOptions<T = any> extends GeminiGenerateOptions {
-  /** Zod schema for runtime validation of the AI response */
-  zodSchema?: ZodSchema<T>;
-  /** Max retry attempts for JSON generation (default: 3) */
-  maxRetries?: number;
-}
-
 /**
- * Error types for Gemini API failures
+ * Gemini AI Service
- */
-export enum GeminiErrorType {
-  RATE_LIMIT = 'RATE_LIMIT',
-  QUOTA_EXCEEDED = 'QUOTA_EXCEEDED',
-  SAFETY_BLOCKED = 'SAFETY_BLOCKED',
-  INVALID_RESPONSE = 'INVALID_RESPONSE',
-  JSON_PARSE_FAILED = 'JSON_PARSE_FAILED',
-  TIMEOUT = 'TIMEOUT',
-  UNAVAILABLE = 'UNAVAILABLE',
-  UNKNOWN = 'UNKNOWN',
-}
-
-/**
- * Custom exception for Gemini AI errors with rich context
- */
-export class GeminiException extends Error {
-  constructor(
-    message: string,
-    public readonly type: GeminiErrorType,
-    public readonly originalError?: any,
-    public readonly retryable: boolean = false,
-  ) {
-    super(message);
-    this.name = 'GeminiException';
-  }
-}
-
-// ============================================
-// Service
-// ============================================
-
-/**
- * Gemini AI Service — Enhanced with Retry, JSON Recovery & Validation
  *
- * Provides AI-powered text/JSON/image generation using Google Gemini API.
+ * Provides AI-powered text generation using Google Gemini API.
  * This service is globally available when ENABLE_GEMINI=true.
  *
- * Key improvements over v1:
- * - responseMimeType: "application/json" for native JSON output
- * - Exponential backoff retry (up to 3 attempts)
- * - Multi-strategy JSON extraction & recovery
- * - Optional Zod schema validation
- * - Typed GeminiException with error classification
- * - AI usage metrics logging
- *
  * @example
  * ```typescript
  * // Simple text generation
  * const response = await geminiService.generateText('Write a poem about coding');
  *
- * // JSON generation with Zod validation
+ * // With options
- * import { z } from 'zod';
+ * const response = await geminiService.generateText('Translate to Turkish', {
- * const schema = z.object({ title: z.string(), score: z.number() });
+ *   temperature: 0.7,
- * const result = await geminiService.generateJSON(
+ *   systemPrompt: 'You are a professional translator',
- *   'Analyze this script', '{ title, score }',
+ * });
- *   { zodSchema: schema }
+ *
- * );
+ * // Chat conversation
+ * const messages = [
+ *   { role: 'user', content: 'Hello!' },
+ *   { role: 'model', content: 'Hi there!' },
+ *   { role: 'user', content: 'What is 2+2?' },
+ * ];
+ * const response = await geminiService.chat(messages);
  * ```
  */
 @Injectable()
@@ -134,10 +86,6 @@ export class GeminiService implements OnModuleInit {
     return this.isEnabled && this.client !== null;
   }
 
-  // ============================================
-  // Text Generation
-  // ============================================
-
   /**
    * Generate text content from a prompt
    *
@@ -149,10 +97,11 @@ export class GeminiService implements OnModuleInit {
     prompt: string,
     options: GeminiGenerateOptions = {},
   ): Promise<{ text: string; usage?: any }> {
-    this.ensureAvailable();
+    if (!this.isAvailable()) {
+      throw new Error('Gemini AI is not available. Check your configuration.');
+    }
 
     const model = options.model || this.defaultModel;
-    const startTime = Date.now();
 
     try {
       const contents: any[] = [];
@@ -180,31 +129,19 @@ export class GeminiService implements OnModuleInit {
         config: {
           temperature: options.temperature,
           maxOutputTokens: options.maxTokens,
-          tools: options.tools,
         },
       });
 
-      const durationMs = Date.now() - startTime;
-      this.logUsage('generateText', model, response.usageMetadata, durationMs);
-
       return {
         text: (response.text || '').trim(),
         usage: response.usageMetadata,
       };
     } catch (error) {
-      const durationMs = Date.now() - startTime;
+      this.logger.error('Gemini generation failed', error);
-      this.logger.error(
+      throw error;
-        `Gemini generation failed after ${durationMs}ms`,
-        error,
-      );
-      throw this.classifyError(error);
     }
   }
 
-  // ============================================
-  // Chat
-  // ============================================
-
   /**
    * Have a multi-turn chat conversation
    *
@@ -216,10 +153,11 @@ export class GeminiService implements OnModuleInit {
     messages: GeminiChatMessage[],
     options: GeminiGenerateOptions = {},
   ): Promise<{ text: string; usage?: any }> {
-    this.ensureAvailable();
+    if (!this.isAvailable()) {
+      throw new Error('Gemini AI is not available. Check your configuration.');
+    }
 
     const model = options.model || this.defaultModel;
-    const startTime = Date.now();
 
     try {
       const contents = messages.map((msg) => ({
@@ -250,54 +188,29 @@ export class GeminiService implements OnModuleInit {
         },
       });
 
-      const durationMs = Date.now() - startTime;
-      this.logUsage('chat', model, response.usageMetadata, durationMs);
-
       return {
         text: (response.text || '').trim(),
         usage: response.usageMetadata,
       };
     } catch (error) {
       this.logger.error('Gemini chat failed', error);
-      throw this.classifyError(error);
+      throw error;
     }
   }
 
-  // ============================================
-  // JSON Generation (Enhanced)
-  // ============================================
-
   /**
-   * Generate structured JSON output with retry, recovery, and optional Zod validation.
+   * Generate structured JSON output
-   *
-   * Strategy:
-   * 1. First attempt uses `responseMimeType: "application/json"` for native JSON
-   * 2. If that fails, falls back to prompt-based JSON with multi-strategy extraction
-   * 3. Up to `maxRetries` attempts with exponential backoff
-   * 4. Optional Zod schema validation on the parsed result
    *
    * @param prompt - The prompt describing what JSON to generate
-   * @param schema - JSON schema description for the expected output (human readable)
+   * @param schema - JSON schema description for the expected output
-   * @param options - Optional configuration including zodSchema and maxRetries
+   * @param options - Optional configuration for the generation
-   * @returns Parsed and optionally validated JSON object
+   * @returns Parsed JSON object
    */
   async generateJSON<T = any>(
     prompt: string,
     schema: string,
-    options: GeminiJSONOptions<T> = {},
+    options: GeminiGenerateOptions = {},
   ): Promise<{ data: T; usage?: any }> {
-    this.ensureAvailable();
-
-    const maxRetries = options.maxRetries ?? 3;
-    const model = options.model || this.defaultModel;
-    let lastError: Error | null = null;
-    let lastUsage: any = undefined;
-
-    for (let attempt = 1; attempt <= maxRetries; attempt++) {
-      const startTime = Date.now();
-
-      try {
-        // Build the full prompt
     const fullPrompt = `${prompt}
 
 Output the result as valid JSON that matches this schema:
@@ -305,351 +218,23 @@ ${schema}
 
 IMPORTANT: Only output valid JSON, no markdown code blocks or other text.`;
 
-        const contents: any[] = [];
+    const response = await this.generateText(fullPrompt, options);
 
-        if (options.systemPrompt) {
+    try {
-          contents.push({
+      // Try to extract JSON from the response
-            role: 'user',
+      let jsonStr = response.text;
-            parts: [{ text: options.systemPrompt }],
+
-          });
+      // Remove potential markdown code blocks
-          contents.push({
+      const jsonMatch = jsonStr.match(/```(?:json)?\s*([\s\S]*?)```/);
-            role: 'model',
+      if (jsonMatch) {
-            parts: [
+        jsonStr = jsonMatch[1].trim();
-              { text: 'Understood. I will follow these instructions.' },
-            ],
-          });
       }
 
-        contents.push({
-          role: 'user',
-          parts: [{ text: fullPrompt }],
-        });
-
-        // Configure responseMimeType for native JSON (only when no tools — tools don't support it)
-        const config: any = {
-          temperature: options.temperature,
-          maxOutputTokens: options.maxTokens,
-        };
-
-        if (!options.tools || options.tools.length === 0) {
-          config.responseMimeType = 'application/json';
-        }
-
-        if (options.tools) {
-          config.tools = options.tools;
-        }
-
-        const response = await this.client!.models.generateContent({
-          model,
-          contents,
-          config,
-        });
-
-        const durationMs = Date.now() - startTime;
-        lastUsage = response.usageMetadata;
-        this.logUsage(
-          `generateJSON (attempt ${attempt}/${maxRetries})`,
-          model,
-          response.usageMetadata,
-          durationMs,
-        );
-
-        const rawText = (response.text || '').trim();
-
-        // Try to extract and parse JSON
-        const jsonStr = this.extractJSON(rawText);
       const data = JSON.parse(jsonStr) as T;
-
+      return { data, usage: response.usage };
-        // Validate with Zod schema if provided
-        if (options.zodSchema) {
-          const validated = options.zodSchema.parse(data);
-          return { data: validated as T, usage: lastUsage };
-        }
-
-        return { data, usage: lastUsage };
     } catch (error) {
-        lastError = error as Error;
+      this.logger.error('Failed to parse JSON response', error);
-
+      throw new Error('Failed to parse AI response as JSON');
-        const isParseError =
-          error instanceof SyntaxError ||
-          (error instanceof ZodError) ||
-          (error instanceof Error &&
-            error.message.includes('Failed to extract JSON'));
-
-        const isRetryable = isParseError || this.isRetryableError(error);
-
-        if (isRetryable && attempt < maxRetries) {
-          const backoffMs = Math.min(1000 * Math.pow(2, attempt - 1), 8000);
-          this.logger.warn(
-            `JSON generation attempt ${attempt}/${maxRetries} failed (${error instanceof Error ? error.message : 'unknown'}). Retrying in ${backoffMs}ms...`,
-          );
-          await this.sleep(backoffMs);
-          continue;
-        }
-
-        // Log failure details
-        if (error instanceof ZodError) {
-          this.logger.error(
-            `Zod validation failed after ${attempt} attempts: ${error.issues.map((e) => `${e.path.join('.')}: ${e.message}`).join(', ')}`,
-          );
     }
   }
 }
-
-    // All retries exhausted
-    throw new GeminiException(
-      `Failed to generate valid JSON after ${maxRetries} attempts: ${lastError?.message}`,
-      GeminiErrorType.JSON_PARSE_FAILED,
-      lastError,
-      false,
-    );
-  }
-
-  // ============================================
-  // Image Generation
-  // ============================================
-
-  /**
-   * Generate an image using Google Imagen (Nano Banana)
-   *
-   * @param prompt - Image description
-   * @returns Base64 encoded image data URI
-   */
-  async generateImage(prompt: string): Promise<string> {
-    this.ensureAvailable();
-
-    const startTime = Date.now();
-
-    try {
-      // Use Imagen 3.0 (Nano Banana Pro)
-      const model = 'imagen-3.0-generate-001';
-
-      const response = (await this.client!.models.generateImages({
-        model,
-        prompt,
-        config: {
-          numberOfImages: 1,
-          aspectRatio: '16:9',
-        },
-      })) as any;
-
-      const durationMs = Date.now() - startTime;
-      this.logger.log(
-        `Image generated in ${durationMs}ms (model: ${model})`,
-      );
-
-      if (
-        response.images &&
-        response.images.length > 0 &&
-        response.images[0].image
-      ) {
-        // Return as Data URI
-        return `data:image/png;base64,${response.images[0].image}`;
-      }
-
-      throw new GeminiException(
-        'No image returned from Gemini',
-        GeminiErrorType.INVALID_RESPONSE,
-      );
-    } catch (error) {
-      if (error instanceof GeminiException) throw error;
-      this.logger.error('Gemini image generation failed', error);
-      throw this.classifyError(error);
-    }
-  }
-
-  // ============================================
-  // Private Helpers
-  // ============================================
-
-  /**
-   * Ensure Gemini client is available, throw typed exception if not
-   */
-  private ensureAvailable(): void {
-    if (!this.isAvailable()) {
-      throw new GeminiException(
-        'Gemini AI is not available. Check your configuration.',
-        GeminiErrorType.UNAVAILABLE,
-      );
-    }
-  }
-
-  /**
-   * Extract JSON from a raw AI response using multiple strategies:
-   * 1. Direct parse (cleanest case)
-   * 2. Strip markdown code blocks
-   * 3. Find first { or [ and match to closing bracket
-   * 4. Remove trailing commas and retry
-   */
-  private extractJSON(raw: string): string {
-    // Strategy 1: Direct parse attempt
-    try {
-      JSON.parse(raw);
-      return raw;
-    } catch {
-      // Continue to next strategy
-    }
-
-    // Strategy 2: Strip markdown code blocks (```json ... ``` or ``` ... ```)
-    const codeBlockMatch = raw.match(/```(?:json)?\s*([\s\S]*?)```/);
-    if (codeBlockMatch) {
-      const extracted = codeBlockMatch[1].trim();
-      try {
-        JSON.parse(extracted);
-        return extracted;
-      } catch {
-        // Continue with the extracted content for further cleaning
-        raw = extracted;
-      }
-    }
-
-    // Strategy 3: Find the first { or [ and match to the last } or ]
-    const objectStart = raw.indexOf('{');
-    const arrayStart = raw.indexOf('[');
-
-    let start = -1;
-    let endChar = '';
-
-    if (objectStart >= 0 && (arrayStart < 0 || objectStart < arrayStart)) {
-      start = objectStart;
-      endChar = '}';
-    } else if (arrayStart >= 0) {
-      start = arrayStart;
-      endChar = ']';
-    }
-
-    if (start >= 0) {
-      const end = raw.lastIndexOf(endChar);
-      if (end > start) {
-        const candidate = raw.substring(start, end + 1);
-        try {
-          JSON.parse(candidate);
-          return candidate;
-        } catch {
-          // Strategy 4: Remove trailing commas and retry
-          const cleaned = candidate
-            .replace(/,\s*([\]}])/g, '$1') // Remove trailing commas
-            .replace(/'/g, '"') // Replace single quotes with double quotes
-            .replace(/(\w+)\s*:/g, '"$1":') // Quote unquoted keys
-            .replace(/""(\w+)""/g, '"$1"'); // Fix double-quoted keys
-
-          try {
-            JSON.parse(cleaned);
-            return cleaned;
-          } catch {
-            // Last resort: return the candidate anyway, caller will handle error
-          }
-        }
-      }
-    }
-
-    throw new Error(
-      `Failed to extract JSON from AI response (length: ${raw.length})`,
-    );
-  }
-
-  /**
-   * Classify an error into a typed GeminiException
-   */
-  private classifyError(error: any): GeminiException {
-    if (error instanceof GeminiException) return error;
-
-    const message = error?.message || String(error);
-    const status = error?.status || error?.statusCode;
-
-    // Rate limiting
-    if (status === 429 || message.includes('429') || message.includes('RATE_LIMIT') || message.includes('rate limit')) {
-      return new GeminiException(
-        'Gemini API rate limit exceeded. Please wait before retrying.',
-        GeminiErrorType.RATE_LIMIT,
-        error,
-        true,
-      );
-    }
-
-    // Quota
-    if (message.includes('QUOTA') || message.includes('quota') || status === 403) {
-      return new GeminiException(
-        'Gemini API quota exceeded.',
-        GeminiErrorType.QUOTA_EXCEEDED,
-        error,
-        false,
-      );
-    }
-
-    // Safety
-    if (message.includes('SAFETY') || message.includes('safety') || message.includes('blocked')) {
-      return new GeminiException(
-        'Content was blocked by safety filters. Try rephrasing the prompt.',
-        GeminiErrorType.SAFETY_BLOCKED,
-        error,
-        false,
-      );
-    }
-
-    // Timeout
-    if (message.includes('TIMEOUT') || message.includes('timeout') || message.includes('DEADLINE_EXCEEDED')) {
-      return new GeminiException(
-        'Gemini API request timed out.',
-        GeminiErrorType.TIMEOUT,
-        error,
-        true,
-      );
-    }
-
-    // Generic
-    return new GeminiException(
-      `Gemini API error: ${message}`,
-      GeminiErrorType.UNKNOWN,
-      error,
-      true,
-    );
-  }
-
-  /**
-   * Check if an error is retryable
-   */
-  private isRetryableError(error: any): boolean {
-    if (error instanceof GeminiException) return error.retryable;
-    const message = error?.message || '';
-    return (
-      message.includes('429') ||
-      message.includes('RATE_LIMIT') ||
-      message.includes('TIMEOUT') ||
-      message.includes('DEADLINE_EXCEEDED') ||
-      message.includes('UNAVAILABLE') ||
-      message.includes('INTERNAL')
-    );
-  }
-
-  /**
-   * Log AI usage metrics for monitoring
-   */
-  private logUsage(
-    operation: string,
-    model: string,
-    usage: any,
-    durationMs: number,
-  ): void {
-    if (usage) {
-      this.logger.log(
-        `AI Usage [${operation}] model=${model} ` +
-          `prompt=${usage.promptTokenCount || '?'} ` +
-          `completion=${usage.candidatesTokenCount || '?'} ` +
-          `total=${usage.totalTokenCount || '?'} ` +
-          `duration=${durationMs}ms`,
-      );
-    } else {
-      this.logger.log(
-        `AI Usage [${operation}] model=${model} duration=${durationMs}ms`,
-      );
-    }
-  }
-
-  /**
-   * Sleep helper for retry backoff
-   */
-  private sleep(ms: number): Promise<void> {
-    return new Promise((resolve) => setTimeout(resolve, ms));
-  }
-}

src/modules/gemini/map-reduce.service.ts

@@ -1,169 +0,0 @@
-import { Injectable, Logger } from '@nestjs/common';
-import { GeminiService } from './gemini.service';
-import { estimateTokens, getModelLimits } from './token-counter';
-
-/**
- * MapReduceService
- *
- * Handles analysis of content that exceeds the context window by:
- * 1. MAP: Splitting content into digestible chunks and analyzing each
- * 2. REDUCE: Combining individual analyses into a final summary
- *
- * Use cases:
- * - Consistency check on very long scripts (50+ segments)
- * - Deep analysis when total script tokens exceed safe limits
- * - Aggregated quality scoring across large content sets
- *
- * TR: Bağlam penceresini aşan içerikler için map-reduce analiz.
- * İçeriği parçalara böler, her birini ayrı analiz eder, sonuçları birleştirir.
- */
-@Injectable()
-export class MapReduceService {
-  private readonly logger = new Logger(MapReduceService.name);
-
-  constructor(private readonly gemini: GeminiService) {}
-
-  /**
-   * Map-Reduce text analysis
-   *
-   * @param chunks - Array of text chunks to analyze
-   * @param mapPrompt - Prompt template for each chunk (use {{CHUNK}} placeholder)
-   * @param reducePrompt - Prompt template for combining results (use {{RESULTS}} placeholder)
-   * @param schema - JSON schema string for expected output
-   * @param options - Optional config
-   * @returns Combined analysis result
-   */
-  async analyze<T = any>(
-    chunks: string[],
-    mapPrompt: string,
-    reducePrompt: string,
-    schema: string,
-    options: {
-      model?: string;
-      language?: string;
-      temperature?: number;
-      maxChunkTokens?: number;
-    } = {},
-  ): Promise<{ data: T; mapResults: any[]; chunkCount: number }> {
-    const {
-      model,
-      language = 'en',
-      temperature = 0.3,
-      maxChunkTokens = 15000,
-    } = options;
-
-    this.logger.log(
-      `Map-Reduce: ${chunks.length} chunks, maxChunkTokens: ${maxChunkTokens}`,
-    );
-
-    // ===== MAP PHASE =====
-    const mapResults: any[] = [];
-
-    for (let i = 0; i < chunks.length; i++) {
-      const chunk = chunks[i];
-      const prompt = mapPrompt.replace('{{CHUNK}}', chunk);
-
-      this.logger.debug(
-        `MAP phase: chunk ${i + 1}/${chunks.length} (${estimateTokens(chunk, language)} tokens)`,
-      );
-
-      try {
-        const resp = await this.gemini.generateJSON<any>(prompt, schema, {
-          model,
-          temperature,
-        });
-        mapResults.push(resp.data);
-      } catch (error) {
-        this.logger.warn(`MAP failed for chunk ${i + 1}: ${error}`);
-        mapResults.push({ error: `Chunk ${i + 1} failed`, skipped: true });
-      }
-    }
-
-    // ===== REDUCE PHASE =====
-    if (mapResults.length === 1) {
-      return { data: mapResults[0], mapResults, chunkCount: chunks.length };
-    }
-
-    const resultsJson = JSON.stringify(mapResults, null, 2);
-    const finalPrompt = reducePrompt.replace('{{RESULTS}}', resultsJson);
-
-    this.logger.debug(
-      `REDUCE phase: combining ${mapResults.length} results`,
-    );
-
-    const reduceResp = await this.gemini.generateJSON<T>(
-      finalPrompt,
-      schema,
-      { model, temperature },
-    );
-
-    return {
-      data: reduceResp.data,
-      mapResults,
-      chunkCount: chunks.length,
-    };
-  }
-
-  /**
-   * Split segments into token-limited chunks
-   *
-   * Groups segments so each chunk stays within the token budget.
-   * Maintains segment order and includes segment index metadata.
-   */
-  chunkSegments(
-    segments: {
-      narratorScript?: string | null;
-      visualDescription?: string | null;
-      segmentType: string;
-    }[],
-    maxTokensPerChunk: number = 15000,
-    language: string = 'en',
-  ): string[] {
-    const chunks: string[] = [];
-    let currentChunk: string[] = [];
-    let currentTokens = 0;
-
-    for (let i = 0; i < segments.length; i++) {
-      const seg = segments[i];
-      const segText = `[Segment ${i + 1} — ${seg.segmentType}]\n${seg.narratorScript || ''}\nVisual: ${seg.visualDescription || 'N/A'}`;
-      const segTokens = estimateTokens(segText, language);
-
-      if (currentTokens + segTokens > maxTokensPerChunk && currentChunk.length > 0) {
-        chunks.push(currentChunk.join('\n\n'));
-        currentChunk = [];
-        currentTokens = 0;
-      }
-
-      currentChunk.push(segText);
-      currentTokens += segTokens;
-    }
-
-    if (currentChunk.length > 0) {
-      chunks.push(currentChunk.join('\n\n'));
-    }
-
-    this.logger.log(
-      `Chunked ${segments.length} segments into ${chunks.length} chunks`,
-    );
-
-    return chunks;
-  }
-
-  /**
-   * Check if content needs map-reduce (exceeds safe context)
-   */
-  needsMapReduce(
-    segments: { narratorScript?: string | null }[],
-    model: string = 'gemini-2.5-flash',
-    language: string = 'en',
-  ): boolean {
-    const totalText = segments
-      .map((s) => s.narratorScript || '')
-      .join('\n');
-    const tokens = estimateTokens(totalText, language);
-    const limits = getModelLimits(model);
-
-    // If content takes more than 60% of safe input, use map-reduce
-    return tokens > limits.safeInput * 0.6;
-  }
-}

src/modules/gemini/model-selector.ts

@@ -1,189 +0,0 @@
-/**
- * Model Selector
- *
- * Task-based model selection strategy for Gemini AI operations.
- *
- * Strategy:
- * - Flash models: Fast, cost-effective — ideal for drafts, summaries, simple tasks
- * - Pro models: Higher quality — ideal for final scripts, analysis, critique
- *
- * Users can override with a quality preference:
- * - 'fast': Always use flash
- * - 'balanced': Task-based auto-selection (default)
- * - 'quality': Always use pro
- *
- * TR: Görev bazında model seçim stratejisi. Hız/kalite tercihi ile otomatik model seçimi.
- */
-
-export type QualityPreference = 'fast' | 'balanced' | 'quality';
-
-/**
- * Task categories that map to model selection
- */
-export enum TaskCategory {
-  // Quick/Draft tasks → Flash
-  TOPIC_ENRICHMENT = 'TOPIC_ENRICHMENT',
-  DISCOVERY_QUESTIONS = 'DISCOVERY_QUESTIONS',
-  SEARCH_QUERY = 'SEARCH_QUERY',
-  CHARACTER_GENERATION = 'CHARACTER_GENERATION',
-  LOGLINE_GENERATION = 'LOGLINE_GENERATION',
-  OUTLINE_GENERATION = 'OUTLINE_GENERATION',
-  SEGMENT_IMAGE_PROMPT = 'SEGMENT_IMAGE_PROMPT',
-
-  // Core generation → Balanced (Pro in quality mode)
-  CHAPTER_GENERATION = 'CHAPTER_GENERATION',
-  SEGMENT_REWRITE = 'SEGMENT_REWRITE',
-  DEEP_RESEARCH = 'DEEP_RESEARCH',
-  VISUAL_ASSETS = 'VISUAL_ASSETS',
-
-  // Analysis/Critique → Pro preferred
-  NEURO_ANALYSIS = 'NEURO_ANALYSIS',
-  YOUTUBE_AUDIT = 'YOUTUBE_AUDIT',
-  COMMERCIAL_BRIEF = 'COMMERCIAL_BRIEF',
-  CONSISTENCY_CHECK = 'CONSISTENCY_CHECK',
-  SELF_CRITIQUE = 'SELF_CRITIQUE',
-}
-
-// Default model assignments per task
-const TASK_MODELS: Record<TaskCategory, { flash: string; pro: string }> = {
-  // Fast tasks
-  [TaskCategory.TOPIC_ENRICHMENT]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.DISCOVERY_QUESTIONS]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-flash',
-  },
-  [TaskCategory.SEARCH_QUERY]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-flash',
-  },
-  [TaskCategory.CHARACTER_GENERATION]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.LOGLINE_GENERATION]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.OUTLINE_GENERATION]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.SEGMENT_IMAGE_PROMPT]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-flash',
-  },
-
-  // Core generation
-  [TaskCategory.CHAPTER_GENERATION]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.SEGMENT_REWRITE]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.DEEP_RESEARCH]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.VISUAL_ASSETS]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-flash',
-  },
-
-  // Analysis/Critique — Pro preferred
-  [TaskCategory.NEURO_ANALYSIS]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.YOUTUBE_AUDIT]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.COMMERCIAL_BRIEF]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.CONSISTENCY_CHECK]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-  [TaskCategory.SELF_CRITIQUE]: {
-    flash: 'gemini-2.5-flash',
-    pro: 'gemini-2.5-pro',
-  },
-};
-
-/**
- * Select the best model for a given task and quality preference.
- *
- * @param task - The task category
- * @param preference - User quality preference
- * @returns Model identifier string
- */
-export function selectModel(
-  task: TaskCategory,
-  preference: QualityPreference = 'balanced',
-): string {
-  const models = TASK_MODELS[task];
-
-  switch (preference) {
-    case 'fast':
-      return models.flash;
-
-    case 'quality':
-      return models.pro;
-
-    case 'balanced':
-    default:
-      // For analysis/critique tasks, prefer pro even in balanced mode
-      if (
-        task === TaskCategory.NEURO_ANALYSIS ||
-        task === TaskCategory.YOUTUBE_AUDIT ||
-        task === TaskCategory.CONSISTENCY_CHECK ||
-        task === TaskCategory.SELF_CRITIQUE
-      ) {
-        return models.pro;
-      }
-      return models.flash;
-  }
-}
-
-/**
- * Get model recommendation info
- */
-export function getModelInfo(
-  task: TaskCategory,
-  preference: QualityPreference = 'balanced',
-): {
-  model: string;
-  isFlash: boolean;
-  reason: string;
-} {
-  const model = selectModel(task, preference);
-  const isFlash = model.includes('flash');
-
-  let reason = '';
-  if (preference === 'fast') {
-    reason = 'Hızlı mod seçildi — Flash model kullanılıyor';
-  } else if (preference === 'quality') {
-    reason = 'Kaliteli mod seçildi — Pro model kullanılıyor';
-  } else {
-    reason = isFlash
-      ? 'Bu görev için Flash yeterli — hız optimizasyonu'
-      : 'Bu görev yüksek kalite gerektiriyor — Pro model seçildi';
-  }
-
-  return { model, isFlash, reason };
-}
-
-/**
- * Estimate relative cost multiplier for a model
- * Flash ≈ 1x, Pro ≈ 4x
- */
-export function getModelCostMultiplier(model: string): number {
-  return model.includes('pro') ? 4.0 : 1.0;
-}

src/modules/gemini/token-counter.ts

@@ -1,152 +0,0 @@
-/**
- * Token Counter Utility
- *
- * Estimates token counts for text content. Uses a heuristic-based approach
- * that is reasonably accurate for Gemini models without requiring
- * an external tokenizer dependency.
- *
- * Gemini tokenization rules of thumb:
- * - English: ~4 characters per token (≈ 0.75 words per token)
- * - Turkish: ~3.5 characters per token (morphologically richer)
- * - Code/JSON: ~3 characters per token
- * - Punctuation: usually 1 token each
- *
- * TR: Token sayımı için yardımcı araç. Harici tokenizer gerektirmeden
- * sezgisel yaklaşımla makul doğrulukta tahmin yapar.
- */
-
-// Model context window limits (input + output)
-export const MODEL_LIMITS = {
-  'gemini-2.5-flash': {
-    maxInput: 1_048_576,   // 1M tokens
-    maxOutput: 65_536,     // 65K tokens
-    safeInput: 800_000,    // Safe limit with margin
-  },
-  'gemini-2.5-pro': {
-    maxInput: 1_048_576,
-    maxOutput: 65_536,
-    safeInput: 800_000,
-  },
-  'gemini-2.0-flash': {
-    maxInput: 1_048_576,
-    maxOutput: 8_192,
-    safeInput: 900_000,
-  },
-  // Fallback for unknown models
-  default: {
-    maxInput: 128_000,
-    maxOutput: 8_192,
-    safeInput: 100_000,
-  },
-} as const;
-
-export type ModelName = keyof typeof MODEL_LIMITS;
-
-/**
- * Estimate token count for a given text.
- *
- * @param text - The text to estimate tokens for
- * @param language - Language hint ('tr', 'en', etc.)
- * @returns Estimated token count
- */
-export function estimateTokens(text: string, language: string = 'en'): number {
-  if (!text) return 0;
-
-  // Base: character-based estimation
-  const charCount = text.length;
-
-  // Language-specific multipliers
-  const charsPerToken = language === 'tr' ? 3.5 : 4.0;
-
-  // Adjust for special content
-  const jsonMatches = text.match(/[{}\[\]:,"]/g);
-  const jsonPenalty = jsonMatches ? jsonMatches.length * 0.3 : 0;
-
-  // Newlines and whitespace
-  const newlineCount = (text.match(/\n/g) || []).length;
-
-  const baseTokens = charCount / charsPerToken;
-  const estimated = baseTokens + jsonPenalty + newlineCount * 0.5;
-
-  return Math.ceil(estimated);
-}
-
-/**
- * Estimate tokens for an array of text segments
- */
-export function estimateTokensForSegments(
-  segments: { narratorScript?: string; visualDescription?: string }[],
-  language: string = 'en',
-): number {
-  return segments.reduce((total, seg) => {
-    return (
-      total +
-      estimateTokens(seg.narratorScript || '', language) +
-      estimateTokens(seg.visualDescription || '', language)
-    );
-  }, 0);
-}
-
-/**
- * Get model limits for a given model name
- */
-export function getModelLimits(model: string) {
-  return (MODEL_LIMITS as any)[model] || MODEL_LIMITS.default;
-}
-
-/**
- * Calculate remaining token budget for output
- */
-export function getRemainingBudget(
-  model: string,
-  inputTokens: number,
-): { remainingInput: number; maxOutput: number; isOverBudget: boolean } {
-  const limits = getModelLimits(model);
-  const remainingInput = limits.safeInput - inputTokens;
-  return {
-    remainingInput,
-    maxOutput: limits.maxOutput,
-    isOverBudget: remainingInput < 0,
-  };
-}
-
-/**
- * Token usage report
- */
-export interface TokenUsageReport {
-  estimatedInputTokens: number;
-  modelLimit: number;
-  safeLimit: number;
-  usagePercentage: number;
-  isOverBudget: boolean;
-  recommendation: 'ok' | 'trim' | 'map-reduce';
-}
-
-/**
- * Analyze token usage and provide recommendations
- */
-export function analyzeTokenUsage(
-  inputText: string,
-  model: string,
-  language: string = 'en',
-): TokenUsageReport {
-  const estimated = estimateTokens(inputText, language);
-  const limits = getModelLimits(model);
-  const usagePercentage = (estimated / limits.safeInput) * 100;
-
-  let recommendation: 'ok' | 'trim' | 'map-reduce' = 'ok';
-  if (usagePercentage > 90) {
-    recommendation = 'map-reduce';
-  } else if (usagePercentage > 70) {
-    recommendation = 'trim';
-  }
-
-  return {
-    estimatedInputTokens: estimated,
-    modelLimit: limits.maxInput,
-    safeLimit: limits.safeInput,
-    usagePercentage: Math.round(usagePercentage * 10) / 10,
-    isOverBudget: estimated > limits.safeInput,
-    recommendation,
-  };
-}

src/modules/skriptai/controllers/analysis.controller.ts

@@ -1,75 +0,0 @@
-import {
-  Controller,
-  Post,
-  Body,
-  Param,
-  UseGuards,
-  Query,
-} from '@nestjs/common';
-import {
-  ApiTags,
-  ApiOperation,
-  ApiResponse,
-  ApiBearerAuth,
-} from '@nestjs/swagger';
-import { AnalysisService } from '../services';
-import { JwtAuthGuard } from '../../auth/guards';
-
-/**
- * AnalysisController
- *
- * REST API controller for content analysis endpoints.
- *
- * TR: İçerik analizi endpoint'leri için REST API controller.
- * EN: REST API controller for content analysis endpoints.
- */
-@ApiTags('SkriptAI - Analysis')
-@Controller('skriptai/analysis')
-export class AnalysisController {
-  constructor(private readonly analysisService: AnalysisService) {}
-
-  @Post(':projectId/neuro')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Perform Neuro Marketing Analysis' })
-  @ApiResponse({ status: 201, description: 'Analysis completed' })
-  async analyzeNeuroMarketing(@Param('projectId') projectId: string) {
-    return this.analysisService.analyzeNeuroMarketing(projectId);
-  }
-
-  @Post(':projectId/youtube-audit')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Perform YouTube Algorithm Audit' })
-  @ApiResponse({ status: 201, description: 'Audit completed' })
-  async performYoutubeAudit(@Param('projectId') projectId: string) {
-    return this.analysisService.performYoutubeAudit(projectId);
-  }
-
-  @Post(':projectId/commercial-brief')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Generate Commercial Brief (Sponsorship Analysis)' })
-  @ApiResponse({ status: 201, description: 'Brief generated' })
-  async generateCommercialBrief(@Param('projectId') projectId: string) {
-    return this.analysisService.generateCommercialBrief(projectId);
-  }
-
-  @Post(':projectId/visual-assets')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Generate visual assets for project' })
-  async generateVisualAssets(
-    @Param('projectId') projectId: string,
-    @Query('count') count: number = 5,
-  ) {
-    return this.analysisService.generateVisualAssets(projectId, count);
-  }
-
-  @Post('thumbnail')
-  @ApiOperation({ summary: 'Generate a thumbnail image from prompt' })
-  async generateThumbnail(@Body() body: { prompt: string }) {
-    const url = await this.analysisService.generateThumbnailImage(body.prompt);
-    return { url };
-  }
-}

src/modules/skriptai/controllers/index.ts

@@ -1,6 +0,0 @@
-export * from './projects.controller';
-export * from './scripts.controller';
-export * from './research.controller';
-export * from './analysis.controller';
-export * from './versions.controller';
-export * from './jobs.controller';

src/modules/skriptai/controllers/jobs.controller.ts

@@ -1,208 +0,0 @@
-import {
-  Controller,
-  Get,
-  Post,
-  Param,
-  Body,
-  Logger,
-  NotFoundException,
-} from '@nestjs/common';
-import { ApiTags, ApiOperation, ApiBearerAuth } from '@nestjs/swagger';
-import { InjectQueue } from '@nestjs/bullmq';
-import { Queue } from 'bullmq';
-import {
-  QUEUES,
-  JobType,
-  JobStatus,
-} from '../queue/queue.constants';
-
-/**
- * JobsController
- *
- * REST API for managing async AI jobs.
- *
- * Endpoints:
- * - POST /jobs/submit           — Submit a new async job
- * - GET  /jobs/:id/status       — Check job status & progress
- * - GET  /jobs/:id/result       — Get job result
- *
- * TR: Asenkron AI işlerini yönetmek için REST API.
- */
-@ApiTags('SkriptAI - Jobs')
-@ApiBearerAuth()
-@Controller('skriptai/jobs')
-export class JobsController {
-  private readonly logger = new Logger(JobsController.name);
-
-  constructor(
-    @InjectQueue(QUEUES.SCRIPT_GENERATION)
-    private readonly scriptQueue: Queue,
-    @InjectQueue(QUEUES.DEEP_RESEARCH)
-    private readonly researchQueue: Queue,
-    @InjectQueue(QUEUES.ANALYSIS)
-    private readonly analysisQueue: Queue,
-    @InjectQueue(QUEUES.IMAGE_GENERATION)
-    private readonly imageQueue: Queue,
-  ) {}
-
-  /**
-   * Submit a new async job
-   */
-  @Post('submit')
-  @ApiOperation({ summary: 'Submit an async AI job' })
-  async submitJob(
-    @Body()
-    body: {
-      type: JobType;
-      payload: Record<string, any>;
-    },
-  ) {
-    const { type, payload } = body;
-    const queue = this.getQueueForJobType(type);
-
-    const job = await queue.add(type, payload, {
-      attempts: 2,
-      backoff: { type: 'exponential', delay: 5000 },
-      removeOnComplete: { age: 3600 }, // 1 hour
-      removeOnFail: { age: 86400 }, // 24 hours
-    });
-
-    this.logger.log(
-      `Job submitted: ${job.id} (${type}) — payload: ${JSON.stringify(payload)}`,
-    );
-
-    return {
-      jobId: job.id,
-      type,
-      status: JobStatus.QUEUED,
-    };
-  }
-
-  /**
-   * Check job status and progress
-   */
-  @Get(':id/status')
-  @ApiOperation({ summary: 'Check job status & progress' })
-  async getJobStatus(@Param('id') jobId: string) {
-    const job = await this.findJobById(jobId);
-
-    if (!job) {
-      throw new NotFoundException(`Job ${jobId} not found`);
-    }
-
-    const state = await job.getState();
-    const progress = job.progress;
-
-    return {
-      jobId: job.id,
-      type: job.name,
-      status: this.mapBullState(state),
-      progress: progress || null,
-      createdAt: new Date(job.timestamp).toISOString(),
-      processedOn: job.processedOn
-        ? new Date(job.processedOn).toISOString()
-        : null,
-      finishedOn: job.finishedOn
-        ? new Date(job.finishedOn).toISOString()
-        : null,
-      failedReason: job.failedReason || null,
-    };
-  }
-
-  /**
-   * Get job result
-   */
-  @Get(':id/result')
-  @ApiOperation({ summary: 'Get completed job result' })
-  async getJobResult(@Param('id') jobId: string) {
-    const job = await this.findJobById(jobId);
-
-    if (!job) {
-      throw new NotFoundException(`Job ${jobId} not found`);
-    }
-
-    const state = await job.getState();
-
-    if (state !== 'completed') {
-      return {
-        jobId: job.id,
-        status: this.mapBullState(state),
-        result: null,
-        message: 'Job has not completed yet',
-      };
-    }
-
-    return {
-      jobId: job.id,
-      status: JobStatus.COMPLETED,
-      result: job.returnvalue,
-    };
-  }
-
-  // ========== HELPERS ==========
-
-  private getQueueForJobType(type: JobType): Queue {
-    if (
-      type === JobType.GENERATE_SCRIPT ||
-      type === JobType.REGENERATE_SEGMENT ||
-      type === JobType.REGENERATE_PARTIAL ||
-      type === JobType.REWRITE_SEGMENT
-    ) {
-      return this.scriptQueue;
-    }
-
-    if (
-      type === JobType.DEEP_RESEARCH ||
-      type === JobType.DISCOVER_QUESTIONS
-    ) {
-      return this.researchQueue;
-    }
-
-    if (
-      type === JobType.NEURO_ANALYSIS ||
-      type === JobType.YOUTUBE_AUDIT ||
-      type === JobType.COMMERCIAL_BRIEF ||
-      type === JobType.GENERATE_VISUAL_ASSETS
-    ) {
-      return this.analysisQueue;
-    }
-
-    if (
-      type === JobType.GENERATE_SEGMENT_IMAGE ||
-      type === JobType.GENERATE_THUMBNAIL
-    ) {
-      return this.imageQueue;
-    }
-
-    throw new Error(`Unknown job type: ${type}`);
-  }
-
-  private async findJobById(jobId: string) {
-    const queues = [
-      this.scriptQueue,
-      this.researchQueue,
-      this.analysisQueue,
-      this.imageQueue,
-    ];
-
-    for (const queue of queues) {
-      const job = await queue.getJob(jobId);
-      if (job) return job;
-    }
-
-    return null;
-  }
-
-  private mapBullState(state: string): JobStatus {
-    switch (state) {
-      case 'completed':
-        return JobStatus.COMPLETED;
-      case 'failed':
-        return JobStatus.FAILED;
-      case 'active':
-        return JobStatus.PROCESSING;
-      default:
-        return JobStatus.QUEUED;
-    }
-  }
-}

src/modules/skriptai/controllers/projects.controller.ts

@@ -1,87 +0,0 @@
-import {
-  Controller,
-  Get,
-  Post,
-  Put,
-  Delete,
-  Body,
-  Param,
-  UseGuards,
-} from '@nestjs/common';
-import {
-  ApiTags,
-  ApiOperation,
-  ApiResponse,
-  ApiBearerAuth,
-} from '@nestjs/swagger';
-import { ProjectsService } from '../services';
-import { CreateProjectDto, UpdateProjectDto } from '../dto';
-import { JwtAuthGuard } from '../../auth/guards';
-import { CurrentUser } from '../../../common/decorators';
-
-/**
- * ProjectsController
- *
- * REST API controller for script project management.
- *
- * TR: Script projesi yönetimi için REST API controller.
- * EN: REST API controller for script project management.
- */
-@ApiTags('SkriptAI - Projects')
-@Controller('skriptai/projects')
-export class ProjectsController {
-  constructor(private readonly projectsService: ProjectsService) {}
-
-  @Post()
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Create a new script project' })
-  @ApiResponse({ status: 201, description: 'Project created successfully' })
-  async create(@Body() createDto: CreateProjectDto, @CurrentUser() user: any) {
-    return this.projectsService.create(createDto, user?.id);
-  }
-
-  @Get()
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Get all projects for current user' })
-  async findAll(@CurrentUser() user: any) {
-    return this.projectsService.findAll(user?.id);
-  }
-
-  @Get(':id')
-  @ApiOperation({ summary: 'Get a project by ID' })
-  async findOne(@Param('id') id: string) {
-    return this.projectsService.findOne(id);
-  }
-
-  @Put(':id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Update a project' })
-  async update(@Param('id') id: string, @Body() updateDto: UpdateProjectDto) {
-    return this.projectsService.update(id, updateDto);
-  }
-
-  @Delete(':id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Soft delete a project' })
-  async remove(@Param('id') id: string) {
-    return this.projectsService.remove(id);
-  }
-
-  @Post(':id/duplicate')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Duplicate a project with all content' })
-  async duplicate(@Param('id') id: string, @CurrentUser() user: any) {
-    return this.projectsService.duplicate(id, user?.id);
-  }
-
-  @Get(':id/export')
-  @ApiOperation({ summary: 'Export project to JSON format' })
-  async exportToJson(@Param('id') id: string) {
-    return this.projectsService.exportToJson(id);
-  }
-}

src/modules/skriptai/controllers/research.controller.ts

@@ -1,166 +0,0 @@
-import {
-  Controller,
-  Post,
-  Put,
-  Delete,
-  Body,
-  Param,
-  UseGuards,
-} from '@nestjs/common';
-import {
-  ApiTags,
-  ApiOperation,
-  ApiResponse,
-  ApiBearerAuth,
-} from '@nestjs/swagger';
-import { ResearchService } from '../services';
-import {
-  CreateSourceDto,
-  CreateBriefItemDto,
-  CreateCharacterDto,
-  PerformResearchDto,
-  GenerateDiscoveryQuestionsDto,
-  GenerateLoglineDto,
-  GenerateCharactersDto,
-} from '../dto';
-import { JwtAuthGuard } from '../../auth/guards';
-
-/**
- * ResearchController
- *
- * REST API controller for research sources, creative brief, and characters.
- *
- * TR: Araştırma kaynakları, yaratıcı brief ve karakterler için REST API controller.
- * EN: REST API controller for research sources, creative brief, and characters.
- */
-@ApiTags('SkriptAI - Research')
-@Controller('skriptai/research')
-export class ResearchController {
-  constructor(private readonly researchService: ResearchService) {}
-
-  // ========== SOURCES ==========
-
-  @Post('sources')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Add a research source' })
-  async addSource(@Body() createDto: CreateSourceDto) {
-    return this.researchService.addSource(createDto);
-  }
-
-  @Put('sources/:id/toggle')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Toggle source selection' })
-  async toggleSource(@Param('id') id: string) {
-    return this.researchService.toggleSourceSelection(id);
-  }
-
-  @Delete('sources/:id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Delete a research source' })
-  async deleteSource(@Param('id') id: string) {
-    return this.researchService.deleteSource(id);
-  }
-
-  @Post('deep-research')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Perform deep research using AI' })
-  @ApiResponse({ status: 201, description: 'Research completed' })
-  async performDeepResearch(@Body() researchDto: PerformResearchDto) {
-    return this.researchService.performDeepResearch(
-      researchDto.projectId,
-      researchDto.additionalQuery,
-    );
-  }
-
-  // ========== BRIEF ITEMS ==========
-
-  @Post('brief-items')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Add a brief item (Q&A)' })
-  async addBriefItem(@Body() createDto: CreateBriefItemDto) {
-    return this.researchService.addBriefItem(createDto);
-  }
-
-  @Put('brief-items/:id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Update a brief item answer' })
-  async updateBriefItem(
-    @Param('id') id: string,
-    @Body() body: { answer: string },
-  ) {
-    return this.researchService.updateBriefItem(id, body.answer);
-  }
-
-  @Delete('brief-items/:id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Delete a brief item' })
-  async deleteBriefItem(@Param('id') id: string) {
-    return this.researchService.deleteBriefItem(id);
-  }
-
-  @Post('discovery-questions')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Generate discovery questions using AI' })
-  async generateDiscoveryQuestions(@Body() dto: GenerateDiscoveryQuestionsDto) {
-    return this.researchService.generateDiscoveryQuestions(
-      dto.topic,
-      dto.language,
-      dto.existingQuestions,
-    );
-  }
-
-  // ========== CHARACTERS ==========
-
-  @Post('characters')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Add a character profile' })
-  async addCharacter(@Body() createDto: CreateCharacterDto) {
-    return this.researchService.addCharacter(createDto);
-  }
-
-  @Put('characters/:id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Update a character profile' })
-  async updateCharacter(
-    @Param('id') id: string,
-    @Body() updateDto: Partial<CreateCharacterDto>,
-  ) {
-    return this.researchService.updateCharacter(id, updateDto);
-  }
-
-  @Delete('characters/:id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Delete a character profile' })
-  async deleteCharacter(@Param('id') id: string) {
-    return this.researchService.deleteCharacter(id);
-  }
-
-  @Post('characters/generate')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Auto-generate character profiles using AI' })
-  async generateCharacters(@Body() dto: GenerateCharactersDto) {
-    return this.researchService.generateCharacters(dto.projectId);
-  }
-
-  // ========== LOGLINE ==========
-
-  @Post('logline')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Generate logline and high concept' })
-  async generateLogline(@Body() dto: GenerateLoglineDto) {
-    return this.researchService.generateLogline(dto.projectId);
-  }
-}

src/modules/skriptai/controllers/scripts.controller.ts

@@ -1,164 +0,0 @@
-import {
-  Controller,
-  Get,
-  Post,
-  Put,
-  Delete,
-  Body,
-  Param,
-  UseGuards,
-} from '@nestjs/common';
-import {
-  ApiTags,
-  ApiOperation,
-  ApiResponse,
-  ApiBearerAuth,
-} from '@nestjs/swagger';
-import { ScriptsService } from '../services';
-import {
-  CreateSegmentDto,
-  UpdateSegmentDto,
-  RewriteSegmentDto,
-  GenerateScriptDto,
-} from '../dto';
-import { JwtAuthGuard } from '../../auth/guards';
-
-/**
- * ScriptsController
- *
- * REST API controller for script segments and AI generation.
- *
- * TR: Script segmentleri ve AI üretimi için REST API controller.
- * EN: REST API controller for script segments and AI generation.
- */
-@ApiTags('SkriptAI - Scripts')
-@Controller('skriptai/scripts')
-export class ScriptsController {
-  constructor(private readonly scriptsService: ScriptsService) {}
-
-  @Post('segments')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Create a new script segment' })
-  async createSegment(@Body() createDto: CreateSegmentDto) {
-    return this.scriptsService.createSegment(createDto);
-  }
-
-  @Put('segments/:id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Update a script segment' })
-  async updateSegment(
-    @Param('id') id: string,
-    @Body() updateDto: UpdateSegmentDto,
-  ) {
-    return this.scriptsService.updateSegment(id, updateDto);
-  }
-
-  @Delete('segments/:id')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Delete a script segment' })
-  async deleteSegment(@Param('id') id: string) {
-    return this.scriptsService.deleteSegment(id);
-  }
-
-  @Post('segments/reorder')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Reorder segments in a project' })
-  async reorderSegments(
-    @Body() body: { projectId: string; segmentIds: string[] },
-  ) {
-    return this.scriptsService.reorderSegments(body.projectId, body.segmentIds);
-  }
-
-  @Post('generate')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Generate full script using AI' })
-  @ApiResponse({ status: 201, description: 'Script generated successfully' })
-  async generateScript(@Body() generateDto: GenerateScriptDto) {
-    return this.scriptsService.generateScript(generateDto.projectId);
-  }
-
-  @Post('rewrite')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Rewrite a segment with new style' })
-  async rewriteSegment(@Body() rewriteDto: RewriteSegmentDto) {
-    return this.scriptsService.rewriteSegment(
-      rewriteDto.segmentId,
-      rewriteDto.newStyle,
-    );
-  }
-
-  @Post('segments/:id/image')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Generate image for a segment' })
-  async generateSegmentImage(@Param('id') id: string) {
-    return this.scriptsService.generateSegmentImage(id);
-  }
-
-  @Post('segments/:id/regenerate')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Regenerate a single segment with AI' })
-  async regenerateSegment(@Param('id') id: string) {
-    return this.scriptsService.regenerateSegment(id);
-  }
-
-  @Post('regenerate-partial')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Regenerate selected segments with AI' })
-  async regeneratePartial(
-    @Body() body: { projectId: string; segmentIds: string[] },
-  ) {
-    return this.scriptsService.regeneratePartial(
-      body.projectId,
-      body.segmentIds,
-    );
-  }
-
-  // ========== ENHANCED PIPELINE (Faz 2.2) ==========
-
-  @Post(':projectId/enrich-topic')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Phase 0: Enrich and expand topic with AI' })
-  async enrichTopic(@Param('projectId') projectId: string) {
-    return this.scriptsService.enrichTopic(projectId);
-  }
-
-  @Get(':projectId/outline-review')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Generate outline for user review (no segments created)' })
-  async getOutlineForReview(@Param('projectId') projectId: string) {
-    return this.scriptsService.generateOutlineForReview(projectId);
-  }
-
-  @Post(':projectId/consistency-check')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Phase 3: AI consistency & quality review' })
-  async checkConsistency(@Param('projectId') projectId: string) {
-    return this.scriptsService.checkConsistency(projectId);
-  }
-
-  @Post(':projectId/self-critique')
-  @UseGuards(JwtAuthGuard)
-  @ApiBearerAuth()
-  @ApiOperation({ summary: 'Phase 4: AI self-critique and auto-rewrite' })
-  async selfCritique(
-    @Param('projectId') projectId: string,
-    @Body() body?: { threshold?: number },
-  ) {
-    return this.scriptsService.selfCritiqueAndRewrite(
-      projectId,
-      body?.threshold,
-    );
-  }
-}

src/modules/skriptai/controllers/versions.controller.ts

@@ -1,96 +0,0 @@
-import {
-  Controller,
-  Get,
-  Post,
-  Delete,
-  Param,
-  Body,
-  Query,
-  Logger,
-} from '@nestjs/common';
-import { ApiTags, ApiOperation, ApiParam, ApiBearerAuth } from '@nestjs/swagger';
-import { VersionsService } from '../services/versions.service';
-
-/**
- * VersionsController
- *
- * REST API for managing script version history.
- *
- * Endpoints:
- * - GET    /projects/:projectId/versions          — List all versions
- * - GET    /projects/:projectId/versions/:id       — Get version details
- * - POST   /projects/:projectId/versions           — Manual save (create snapshot)
- * - POST   /projects/:projectId/versions/:id/restore — Restore to version
- * - DELETE /projects/:projectId/versions/:id       — Delete version
- * - GET    /projects/:projectId/versions/compare   — Compare two versions
- */
-@ApiTags('SkriptAI - Versions')
-@ApiBearerAuth()
-@Controller('skriptai/projects/:projectId/versions')
-export class VersionsController {
-  private readonly logger = new Logger(VersionsController.name);
-
-  constructor(private readonly versionsService: VersionsService) {}
-
-  @Get()
-  @ApiOperation({ summary: 'List all versions for a project' })
-  @ApiParam({ name: 'projectId', description: 'Project ID' })
-  async listVersions(@Param('projectId') projectId: string) {
-    return this.versionsService.listVersions(projectId);
-  }
-
-  @Get('compare')
-  @ApiOperation({ summary: 'Compare two versions' })
-  async compareVersions(
-    @Param('projectId') projectId: string,
-    @Query('versionA') versionAId: string,
-    @Query('versionB') versionBId: string,
-  ) {
-    return this.versionsService.compareVersions(
-      projectId,
-      versionAId,
-      versionBId,
-    );
-  }
-
-  @Get(':id')
-  @ApiOperation({ summary: 'Get a specific version with full snapshot data' })
-  async getVersion(
-    @Param('projectId') projectId: string,
-    @Param('id') versionId: string,
-  ) {
-    return this.versionsService.getVersion(projectId, versionId);
-  }
-
-  @Post()
-  @ApiOperation({ summary: 'Manually save current state as a new version' })
-  async createSnapshot(
-    @Param('projectId') projectId: string,
-    @Body() body: { label?: string; changeNote?: string },
-  ) {
-    return this.versionsService.createSnapshot(
-      projectId,
-      'USER',
-      body.label,
-      body.changeNote,
-    );
-  }
-
-  @Post(':id/restore')
-  @ApiOperation({ summary: 'Restore project to a specific version' })
-  async restoreVersion(
-    @Param('projectId') projectId: string,
-    @Param('id') versionId: string,
-  ) {
-    return this.versionsService.restoreVersion(projectId, versionId);
-  }
-
-  @Delete(':id')
-  @ApiOperation({ summary: 'Delete a specific version' })
-  async deleteVersion(
-    @Param('projectId') projectId: string,
-    @Param('id') versionId: string,
-  ) {
-    return this.versionsService.deleteVersion(projectId, versionId);
-  }
-}

src/modules/skriptai/dto/index.ts

@@ -1,3 +0,0 @@
-export * from './project.dto';
-export * from './segment.dto';
-export * from './research.dto';

src/modules/skriptai/dto/project.dto.ts

@@ -1,143 +0,0 @@
-import { ApiProperty, ApiPropertyOptional } from '@nestjs/swagger';
-import {
-  IsString,
-  IsOptional,
-  IsArray,
-  IsBoolean,
-  ArrayMinSize,
-} from 'class-validator';
-
-// Types are defined as string unions in skriptai.types.ts
-// Using string here to avoid emitDecoratorMetadata issues
-
-/**
- * CreateProjectDto
- *
- * DTO for creating a new script project.
- *
- * TR: Yeni bir script projesi oluşturmak için DTO.
- * EN: DTO for creating a new script project.
- */
-export class CreateProjectDto {
-  @ApiProperty({ description: 'Main topic of the project' })
-  @IsString()
-  topic: string;
-
-  @ApiProperty({ description: 'Content format type' })
-  @IsString()
-  contentType: string;
-
-  @ApiProperty({ description: 'Target audience list', isArray: true })
-  @IsArray()
-  @ArrayMinSize(1)
-  targetAudience: string[];
-
-  @ApiProperty({ description: 'Speech style list', isArray: true })
-  @IsArray()
-  @ArrayMinSize(1)
-  speechStyle: string[];
-
-  @ApiProperty({ description: 'Target video duration' })
-  @IsString()
-  targetDuration: string;
-
-  @ApiPropertyOptional({ description: 'Additional user notes' })
-  @IsOptional()
-  @IsString()
-  userNotes?: string;
-
-  @ApiPropertyOptional({ description: 'Content tone' })
-  @IsOptional()
-  @IsString()
-  tone?: string;
-
-  @ApiProperty({ description: 'Content language', default: 'tr' })
-  @IsString()
-  language: string = 'tr';
-
-  @ApiPropertyOptional({ description: 'Include interview segments' })
-  @IsOptional()
-  @IsBoolean()
-  includeInterviews?: boolean;
-}
-
-/**
- * UpdateProjectDto
- *
- * DTO for updating an existing project.
- * All fields are optional.
- *
- * TR: Mevcut bir projeyi güncellemek için DTO.
- * EN: DTO for updating an existing project.
- */
-export class UpdateProjectDto {
-  @ApiPropertyOptional({ description: 'Main topic of the project' })
-  @IsOptional()
-  @IsString()
-  topic?: string;
-
-  @ApiPropertyOptional({ description: 'Content format type' })
-  @IsOptional()
-  @IsString()
-  contentType?: string;
-
-  @ApiPropertyOptional({ description: 'Target audience list', isArray: true })
-  @IsOptional()
-  @IsArray()
-  targetAudience?: string[];
-
-  @ApiPropertyOptional({ description: 'Speech style list', isArray: true })
-  @IsOptional()
-  @IsArray()
-  speechStyle?: string[];
-
-  @ApiPropertyOptional({ description: 'Target video duration' })
-  @IsOptional()
-  @IsString()
-  targetDuration?: string;
-
-  @ApiPropertyOptional({ description: 'Additional user notes' })
-  @IsOptional()
-  @IsString()
-  userNotes?: string;
-
-  @ApiPropertyOptional({ description: 'Content tone' })
-  @IsOptional()
-  @IsString()
-  tone?: string;
-
-  @ApiPropertyOptional({ description: 'Content language' })
-  @IsOptional()
-  @IsString()
-  language?: string;
-
-  @ApiPropertyOptional({ description: 'Project logline' })
-  @IsOptional()
-  @IsString()
-  logline?: string;
-
-  @ApiPropertyOptional({ description: 'High concept description' })
-  @IsOptional()
-  @IsString()
-  highConcept?: string;
-
-  @ApiPropertyOptional({ description: 'Include interview segments' })
-  @IsOptional()
-  @IsBoolean()
-  includeInterviews?: boolean;
-
-  @ApiPropertyOptional({ description: 'SEO title' })
-  @IsOptional()
-  @IsString()
-  seoTitle?: string;
-
-  @ApiPropertyOptional({ description: 'SEO description' })
-  @IsOptional()
-  @IsString()
-  seoDescription?: string;
-
-  @ApiPropertyOptional({ description: 'SEO tags', isArray: true })
-  @IsOptional()
-  @IsArray()
-  seoTags?: string[];
-}

src/modules/skriptai/dto/research.dto.ts

@@ -1,175 +0,0 @@
-import { ApiProperty, ApiPropertyOptional } from '@nestjs/swagger';
-import { IsString, IsOptional, IsBoolean, IsArray } from 'class-validator';
-
-// SourceType and CharacterRole are string unions - using string here for decorator compatibility
-
-/**
- * CreateSourceDto
- *
- * DTO for adding a research source.
- *
- * TR: Araştırma kaynağı eklemek için DTO.
- * EN: DTO for adding a research source.
- */
-export class CreateSourceDto {
-  @ApiProperty({ description: 'Project ID' })
-  @IsString()
-  projectId: string;
-
-  @ApiProperty({ description: 'Source title' })
-  @IsString()
-  title: string;
-
-  @ApiProperty({ description: 'Source URL' })
-  @IsString()
-  url: string;
-
-  @ApiPropertyOptional({ description: 'Source snippet/summary' })
-  @IsOptional()
-  @IsString()
-  snippet?: string;
-
-  @ApiProperty({ description: 'Source type' })
-  @IsString()
-  type: string; // article, video, interview, etc.
-
-  @ApiPropertyOptional({ description: 'Whether source is selected' })
-  @IsOptional()
-  @IsBoolean()
-  selected?: boolean;
-}
-
-/**
- * CreateBriefItemDto
- *
- * DTO for adding a brief question/answer.
- *
- * TR: Brief sorusu/cevabı eklemek için DTO.
- * EN: DTO for adding a brief question/answer.
- */
-export class CreateBriefItemDto {
-  @ApiProperty({ description: 'Project ID' })
-  @IsString()
-  projectId: string;
-
-  @ApiProperty({ description: 'Question text' })
-  @IsString()
-  question: string;
-
-  @ApiProperty({ description: 'Answer text' })
-  @IsString()
-  answer: string;
-
-  @ApiPropertyOptional({ description: 'Sort order' })
-  @IsOptional()
-  sortOrder?: number;
-}
-
-/**
- * CreateCharacterDto
- *
- * DTO for creating a character profile.
- *
- * TR: Karakter profili oluşturmak için DTO.
- * EN: DTO for creating a character profile.
- */
-export class CreateCharacterDto {
-  @ApiProperty({ description: 'Project ID' })
-  @IsString()
-  projectId: string;
-
-  @ApiProperty({ description: 'Character name' })
-  @IsString()
-  name: string;
-
-  @ApiProperty({ description: 'Character role' })
-  @IsString()
-  role: string; // Protagonist, Antagonist, etc.
-
-  @ApiPropertyOptional({ description: 'Character values (inner beliefs)' })
-  @IsOptional()
-  @IsString()
-  values?: string;
-
-  @ApiPropertyOptional({ description: 'Character traits (personality)' })
-  @IsOptional()
-  @IsString()
-  traits?: string;
-
-  @ApiPropertyOptional({
-    description: 'Character mannerisms (external behavior)',
-  })
-  @IsOptional()
-  @IsString()
-  mannerisms?: string;
-}
-
-/**
- * PerformResearchDto
- *
- * DTO for performing deep research.
- *
- * TR: Derin araştırma yapmak için DTO.
- * EN: DTO for performing deep research.
- */
-export class PerformResearchDto {
-  @ApiProperty({ description: 'Project ID' })
-  @IsString()
-  projectId: string;
-
-  @ApiPropertyOptional({ description: 'Additional research query' })
-  @IsOptional()
-  @IsString()
-  additionalQuery?: string;
-}
-
-/**
- * GenerateDiscoveryQuestionsDto
- *
- * DTO for generating creative brief discovery questions.
- *
- * TR: Yaratıcı brief keşif soruları oluşturmak için DTO.
- * EN: DTO for generating creative brief discovery questions.
- */
-export class GenerateDiscoveryQuestionsDto {
-  @ApiProperty({ description: 'Topic to generate questions for' })
-  @IsString()
-  topic: string;
-
-  @ApiProperty({ description: 'Language for questions' })
-  @IsString()
-  language: string;
-
-  @ApiPropertyOptional({ description: 'Existing questions to avoid' })
-  @IsOptional()
-  @IsArray()
-  existingQuestions?: string[];
-}
-
-/**
- * GenerateLoglineDto
- *
- * DTO for generating logline and high concept.
- *
- * TR: Logline ve high concept oluşturmak için DTO.
- * EN: DTO for generating logline and high concept.
- */
-export class GenerateLoglineDto {
-  @ApiProperty({ description: 'Project ID' })
-  @IsString()
-  projectId: string;
-}
-
-/**
- * GenerateCharactersDto
- *
- * DTO for auto-generating character profiles.
- *
- * TR: Otomatik karakter profilleri oluşturmak için DTO.
- * EN: DTO for auto-generating character profiles.
- */
-export class GenerateCharactersDto {
-  @ApiProperty({ description: 'Project ID' })
-  @IsString()
-  projectId: string;
-}

src/modules/skriptai/dto/segment.dto.ts

@@ -1,191 +0,0 @@
-import { ApiProperty, ApiPropertyOptional } from '@nestjs/swagger';
-import { IsString, IsOptional, IsInt, Min } from 'class-validator';
-
-// SegmentType and SpeechStyle are string unions - using string here for decorator compatibility
-
-/**
- * CreateSegmentDto
- *
- * DTO for creating a new script segment.
- *
- * TR: Yeni bir script segmenti oluşturmak için DTO.
- * EN: DTO for creating a new script segment.
- */
-export class CreateSegmentDto {
-  @ApiProperty({ description: 'Project ID this segment belongs to' })
-  @IsString()
-  projectId: string;
-
-  @ApiProperty({ description: 'Segment type (Hook, Intro, Body, etc.)' })
-  @IsString()
-  segmentType: string; // Hook, Intro, Body, etc.
-
-  @ApiProperty({ description: 'Start time in format MM:SS' })
-  @IsString()
-  timeStart: string;
-
-  @ApiProperty({ description: 'Duration in seconds (e.g., "30s")' })
-  @IsString()
-  duration: string;
-
-  @ApiPropertyOptional({ description: 'Visual description for the segment' })
-  @IsOptional()
-  @IsString()
-  visualDescription?: string;
-
-  @ApiPropertyOptional({ description: 'Narrator script text' })
-  @IsOptional()
-  @IsString()
-  narratorScript?: string;
-
-  @ApiPropertyOptional({ description: 'Editor notes' })
-  @IsOptional()
-  @IsString()
-  editorNotes?: string;
-
-  @ApiPropertyOptional({ description: 'Audio cues' })
-  @IsOptional()
-  @IsString()
-  audioCues?: string;
-
-  @ApiPropertyOptional({ description: 'On-screen text overlay' })
-  @IsOptional()
-  @IsString()
-  onScreenText?: string;
-
-  @ApiPropertyOptional({ description: 'Stock footage search query' })
-  @IsOptional()
-  @IsString()
-  stockQuery?: string;
-
-  @ApiPropertyOptional({ description: 'Video generation prompt (VEO/Runway)' })
-  @IsOptional()
-  @IsString()
-  videoPrompt?: string;
-
-  @ApiPropertyOptional({
-    description: 'Image generation prompt (Midjourney/Flux)',
-  })
-  @IsOptional()
-  @IsString()
-  imagePrompt?: string;
-
-  @ApiPropertyOptional({ description: 'Sort order in the script' })
-  @IsOptional()
-  @IsInt()
-  @Min(0)
-  sortOrder?: number;
-}
-
-/**
- * UpdateSegmentDto
- *
- * DTO for updating an existing segment.
- *
- * TR: Mevcut bir segmenti güncellemek için DTO.
- * EN: DTO for updating an existing segment.
- */
-export class UpdateSegmentDto {
-  @ApiPropertyOptional({ description: 'Segment type' })
-  @IsOptional()
-  @IsString()
-  segmentType?: string;
-
-  @ApiPropertyOptional({ description: 'Start time' })
-  @IsOptional()
-  @IsString()
-  timeStart?: string;
-
-  @ApiPropertyOptional({ description: 'Duration' })
-  @IsOptional()
-  @IsString()
-  duration?: string;
-
-  @ApiPropertyOptional({ description: 'Visual description' })
-  @IsOptional()
-  @IsString()
-  visualDescription?: string;
-
-  @ApiPropertyOptional({ description: 'Narrator script' })
-  @IsOptional()
-  @IsString()
-  narratorScript?: string;
-
-  @ApiPropertyOptional({ description: 'Editor notes' })
-  @IsOptional()
-  @IsString()
-  editorNotes?: string;
-
-  @ApiPropertyOptional({ description: 'General notes' })
-  @IsOptional()
-  @IsString()
-  generalNotes?: string;
-
-  @ApiPropertyOptional({ description: 'Audio cues' })
-  @IsOptional()
-  @IsString()
-  audioCues?: string;
-
-  @ApiPropertyOptional({ description: 'On-screen text' })
-  @IsOptional()
-  @IsString()
-  onScreenText?: string;
-
-  @ApiPropertyOptional({ description: 'Stock query' })
-  @IsOptional()
-  @IsString()
-  stockQuery?: string;
-
-  @ApiPropertyOptional({ description: 'Video prompt' })
-  @IsOptional()
-  @IsString()
-  videoPrompt?: string;
-
-  @ApiPropertyOptional({ description: 'Image prompt' })
-  @IsOptional()
-  @IsString()
-  imagePrompt?: string;
-
-  @ApiPropertyOptional({ description: 'Generated image URL' })
-  @IsOptional()
-  @IsString()
-  generatedImageUrl?: string;
-
-  @ApiPropertyOptional({ description: 'Sort order' })
-  @IsOptional()
-  @IsInt()
-  @Min(0)
-  sortOrder?: number;
-}
-
-/**
- * RewriteSegmentDto
- *
- * DTO for rewriting a segment with a new style.
- *
- * TR: Bir segmenti yeni bir stille yeniden yazmak için DTO.
- * EN: DTO for rewriting a segment with a new style.
- */
-export class RewriteSegmentDto {
-  @ApiProperty({ description: 'Segment ID to rewrite' })
-  @IsString()
-  segmentId: string;
-
-  @ApiProperty({ description: 'New style to apply' })
-  @IsString()
-  newStyle: string; // SpeechStyle or 'Make it Longer' | 'Make it Shorter'
-}
-
-/**
- * GenerateScriptDto
- *
- * DTO for generating a full script from project data.
- *
- * TR: Proje verisinden tam bir script oluşturmak için DTO.
- * EN: DTO for generating a full script from project data.
- */
-export class GenerateScriptDto {
-  @ApiProperty({ description: 'Project ID to generate script for' })
-  @IsString()
-  projectId: string;
-}

src/modules/skriptai/gateway/index.ts

@@ -1,3 +0,0 @@
-export * from './ws-events';
-export * from './skriptai.gateway';
-export * from './queue-event-bridge';

src/modules/skriptai/gateway/queue-event-bridge.ts

@@ -1,91 +0,0 @@
-import { Injectable, OnModuleInit, Logger } from '@nestjs/common';
-import { InjectQueue } from '@nestjs/bullmq';
-import { Queue, QueueEvents } from 'bullmq';
-import { SkriptaiGateway } from './skriptai.gateway';
-import { QUEUES } from '../queue/queue.constants';
-
-/**
- * BullMQ → WebSocket Event Bridge
- *
- * Listens to BullMQ queue events and forwards them to the WebSocket gateway.
- * This enables real-time progress notifications for all async jobs.
- *
- * TR: BullMQ kuyruk eventlerini dinler ve WebSocket gateway'e yönlendirir.
- * Böylece tüm asenkron işler için gerçek zamanlı ilerleme bildirimleri sağlanır.
- */
-@Injectable()
-export class QueueEventBridge implements OnModuleInit {
-  private readonly logger = new Logger(QueueEventBridge.name);
-
-  constructor(
-    private readonly gateway: SkriptaiGateway,
-    @InjectQueue(QUEUES.SCRIPT_GENERATION)
-    private readonly scriptQueue: Queue,
-    @InjectQueue(QUEUES.DEEP_RESEARCH)
-    private readonly researchQueue: Queue,
-    @InjectQueue(QUEUES.ANALYSIS)
-    private readonly analysisQueue: Queue,
-    @InjectQueue(QUEUES.IMAGE_GENERATION)
-    private readonly imageQueue: Queue,
-  ) {}
-
-  onModuleInit() {
-    this.attachListeners(this.scriptQueue);
-    this.attachListeners(this.researchQueue);
-    this.attachListeners(this.analysisQueue);
-    this.attachListeners(this.imageQueue);
-    this.logger.log('✅ BullMQ → WebSocket event bridge initialized');
-  }
-
-  private attachListeners(queue: Queue) {
-    const events = new QueueEvents(queue.name, {
-      connection: queue.opts?.connection as any,
-    });
-
-    events.on('progress', ({ jobId, data }) => {
-      const progress = data as any;
-      if (progress && progress.projectId) {
-        this.gateway.emitJobProgress({
-          jobId,
-          jobType: '',
-          projectId: progress.projectId,
-          step: progress.step || 0,
-          totalSteps: progress.totalSteps || 0,
-          message: progress.message || '',
-          percentage: progress.percentage || 0,
-        });
-      }
-    });
-
-    events.on('completed', async ({ jobId }) => {
-      try {
-        const job = await queue.getJob(jobId);
-        if (job) {
-          this.gateway.emitJobCompleted({
-            jobId,
-            jobType: job.name,
-            projectId: job.data.projectId || '',
-          });
-        }
-      } catch {
-        // Job may have been removed
-      }
-    });
-
-    events.on('failed', async ({ jobId, failedReason }) => {
-      try {
-        const job = await queue.getJob(jobId);
-        if (job) {
-          this.gateway.emitJobFailed({
-            jobId,
-            jobType: job.name,
-            projectId: job.data.projectId || '',
-            reason: failedReason || 'Unknown error',
-          });
-        }
-      } catch {
-        // Job may have been removed
-      }
-    });
-  }
-}

src/modules/skriptai/gateway/skriptai.gateway.ts

@@ -1,123 +0,0 @@
-import {
-  WebSocketGateway,
-  WebSocketServer,
-  OnGatewayConnection,
-  OnGatewayDisconnect,
-  SubscribeMessage,
-} from '@nestjs/websockets';
-import { Logger } from '@nestjs/common';
-import { Server, Socket } from 'socket.io';
-import {
-  WS_EVENTS,
-  JobProgressEvent,
-  JobCompletedEvent,
-  JobFailedEvent,
-  SegmentEvent,
-  VersionEvent,
-  ProjectStatusEvent,
-} from './ws-events';
-
-/**
- * SkriptAI WebSocket Gateway
- *
- * Socket.IO gateway for real-time notifications.
- * Clients join project-specific rooms to receive updates.
- *
- * TR: Gerçek zamanlı bildirimler için Socket.IO gateway.
- * İstemciler proje odalarına katılarak güncellemeler alır.
- */
-@WebSocketGateway({
-  namespace: '/skriptai',
-  cors: {
-    origin: '*',
-    credentials: true,
-  },
-})
-export class SkriptaiGateway
-  implements OnGatewayConnection, OnGatewayDisconnect
-{
-  @WebSocketServer()
-  server: Server;
-
-  private readonly logger = new Logger(SkriptaiGateway.name);
-
-  handleConnection(client: Socket) {
-    this.logger.log(`Client connected: ${client.id}`);
-  }
-
-  handleDisconnect(client: Socket) {
-    this.logger.log(`Client disconnected: ${client.id}`);
-  }
-
-  /**
-   * Client joins a project room to receive project-specific events
-   */
-  @SubscribeMessage('join:project')
-  handleJoinProject(client: Socket, projectId: string) {
-    const room = `project:${projectId}`;
-    client.join(room);
-    this.logger.debug(`Client ${client.id} joined room ${room}`);
-    return { status: 'ok', room };
-  }
-
-  /**
-   * Client leaves a project room
-   */
-  @SubscribeMessage('leave:project')
-  handleLeaveProject(client: Socket, projectId: string) {
-    const room = `project:${projectId}`;
-    client.leave(room);
-    this.logger.debug(`Client ${client.id} left room ${room}`);
-    return { status: 'ok' };
-  }
-
-  // ========== EMIT METHODS (called by processors/services) ==========
-
-  /**
-   * Emit job progress to all clients in the project room
-   */
-  emitJobProgress(event: JobProgressEvent) {
-    const room = `project:${event.projectId}`;
-    this.server.to(room).emit(WS_EVENTS.JOB_PROGRESS, event);
-  }
-
-  /**
-   * Emit job completed
-   */
-  emitJobCompleted(event: JobCompletedEvent) {
-    const room = `project:${event.projectId}`;
-    this.server.to(room).emit(WS_EVENTS.JOB_COMPLETED, event);
-  }
-
-  /**
-   * Emit job failed
-   */
-  emitJobFailed(event: JobFailedEvent) {
-    const room = `project:${event.projectId}`;
-    this.server.to(room).emit(WS_EVENTS.JOB_FAILED, event);
-  }
-
-  /**
-   * Emit segment generated/updated
-   */
-  emitSegmentEvent(eventName: string, event: SegmentEvent) {
-    const room = `project:${event.projectId}`;
-    this.server.to(room).emit(eventName, event);
-  }
-
-  /**
-   * Emit version created/restored
-   */
-  emitVersionEvent(eventName: string, event: VersionEvent) {
-    const room = `project:${event.projectId}`;
-    this.server.to(room).emit(eventName, event);
-  }
-
-  /**
-   * Emit project status change
-   */
-  emitProjectStatusChanged(event: ProjectStatusEvent) {
-    const room = `project:${event.projectId}`;
-    this.server.to(room).emit(WS_EVENTS.PROJECT_STATUS_CHANGED, event);
-  }
-}

src/modules/skriptai/gateway/ws-events.ts

@@ -1,66 +0,0 @@
-/**
- * WebSocket Event Constants
- *
- * All WebSocket event names used across the system.
- *
- * TR: Sistemde kullanılan tüm WebSocket event isimleri.
- */
-export const WS_EVENTS = {
-  // Job lifecycle events
-  JOB_PROGRESS: 'job:progress',
-  JOB_COMPLETED: 'job:completed',
-  JOB_FAILED: 'job:failed',
-
-  // Content events
-  SEGMENT_GENERATED: 'segment:generated',
-  SEGMENT_UPDATED: 'segment:updated',
-  VERSION_CREATED: 'version:created',
-  VERSION_RESTORED: 'version:restored',
-
-  // Project events
-  PROJECT_STATUS_CHANGED: 'project:status-changed',
-} as const;
-
-// Payload types
-export interface JobProgressEvent {
-  jobId: string;
-  jobType: string;
-  projectId: string;
-  step: number;
-  totalSteps: number;
-  message: string;
-  percentage: number;
-}
-
-export interface JobCompletedEvent {
-  jobId: string;
-  jobType: string;
-  projectId: string;
-  result?: any;
-}
-
-export interface JobFailedEvent {
-  jobId: string;
-  jobType: string;
-  projectId: string;
-  reason: string;
-}
-
-export interface SegmentEvent {
-  segmentId: string;
-  projectId: string;
-  segmentType?: string;
-}
-
-export interface VersionEvent {
-  versionId: string;
-  projectId: string;
-  versionNumber: number;
-  label?: string;
-}
-
-export interface ProjectStatusEvent {
-  projectId: string;
-  status: string;
-  previousStatus?: string;
-}

src/modules/skriptai/index.ts

@@ -1,5 +0,0 @@
-export * from './skriptai.module';
-export * from './services';
-export * from './controllers';
-export * from './dto';
-export * from './types/skriptai.types';

src/modules/skriptai/prompts/analysis.prompt.ts

@@ -1,191 +0,0 @@
-/**
- * Analysis Prompt Builders
- *
- * Prompts for AI-powered content analysis:
- * - Neuro Marketing Analysis (Cialdini's 6 Principles)
- * - YouTube Algorithm Audit
- * - Commercial Brief (Sponsorship Analysis)
- * - Visual Asset Keywords
- *
- * Used in: AnalysisService
- */
-
-// ============================================
-// Neuro Marketing Analysis
-// ============================================
-
-export interface NeuroAnalysisInput {
-  fullScript: string;
-}
-
-export function buildNeuroAnalysisPrompt(input: NeuroAnalysisInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Analyze this script using Consumer Neuroscience and Cialdini's 6 Principles of Persuasion.
-
-Script:
-${input.fullScript.substring(0, 10000)}
-
-Provide:
-1. Engagement Score (0-100): How well does it capture attention?
-2. Dopamine Score (0-100): Does it create anticipation & reward loops?
-3. Clarity Score (0-100): Is the message clear and memorable?
-
-4. Cialdini's Persuasion Metrics (0-100 each):
-   - Reciprocity: Does it give value first?
-   - Scarcity: Does it create urgency?
-   - Authority: Does it establish credibility?
-   - Consistency: Does it align with viewer beliefs?
-   - Liking: Is the tone likeable/relatable?
-   - Social Proof: Does it reference others' actions?
-
-5. Neuro Metrics:
-   - Attention Hooks: Moments that grab attention
-   - Emotional Triggers: Points that evoke emotion
-   - Memory Anchors: Unique/memorable elements
-   - Action Drivers: CTAs or challenges
-
-6. Suggestions: 3-5 specific improvements`,
-
-    temperature: 0.6,
-
-    schema: `{
-  "engagementScore": 0,
-  "dopamineScore": 0,
-  "clarityScore": 0,
-  "persuasionMetrics": {
-    "reciprocity": 0, "scarcity": 0, "authority": 0,
-    "consistency": 0, "liking": 0, "socialProof": 0
-  },
-  "neuroMetrics": {
-    "attentionHooks": ["..."], "emotionalTriggers": ["..."],
-    "memoryAnchors": ["..."], "actionDrivers": ["..."]
-  },
-  "suggestions": ["..."]
-}`,
-  };
-}
-
-// ============================================
-// YouTube Audit
-// ============================================
-
-export interface YoutubeAuditInput {
-  topic: string;
-  fullScript: string;
-}
-
-export function buildYoutubeAuditPrompt(input: YoutubeAuditInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Perform a YouTube Algorithm Audit on this script for topic "${input.topic}".
-
-Script:
-${input.fullScript.substring(0, 10000)}
-
-Analyze and provide:
-1. Hook Score (0-100): First 10 seconds effectiveness
-2. Pacing Score (0-100): Does it maintain momentum?
-3. Viral Potential (0-100): Shareability factor
-
-4. Retention Analysis: 3-5 potential drop-off points with time, issue, suggestion, severity (High/Medium/Low)
-
-5. Thumbnail Concepts: 3 high-CTR thumbnail ideas with:
-   - Concept name, Visual description, Text overlay
-   - Color psychology, Emotion target, AI generation prompt
-
-6. Title Options: 5 clickable titles (curiosity gap, numbers, power words)
-7. Community Post: Engaging post to tease the video
-8. Pinned Comment: Engagement-driving first comment
-9. SEO Description: Optimized video description with keywords
-10. Keywords: 10 relevant search keywords`,
-
-    temperature: 0.7,
-
-    schema: `{
-  "hookScore": 0, "pacingScore": 0, "viralPotential": 0,
-  "retentionAnalysis": [{ "time": "0:30", "issue": "...", "suggestion": "...", "severity": "High" }],
-  "thumbnails": [{ "conceptName": "...", "visualDescription": "...", "textOverlay": "...", "colorPsychology": "...", "emotionTarget": "...", "aiPrompt": "..." }],
-  "titles": ["..."],
-  "communityPost": "...", "pinnedComment": "...",
-  "description": "...", "keywords": ["..."]
-}`,
-  };
-}
-
-// ============================================
-// Commercial Brief
-// ============================================
-
-export interface CommercialBriefInput {
-  topic: string;
-  targetAudience: string[];
-  contentType: string;
-  fullScript: string;
-}
-
-export function buildCommercialBriefPrompt(input: CommercialBriefInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Analyze this content for commercial viability and sponsorship opportunities.
-
-Topic: "${input.topic}"
-Audience: ${input.targetAudience.join(', ')}
-Content Type: ${input.contentType}
-
-Script excerpt:
-${input.fullScript.substring(0, 5000)}
-
-Provide:
-1. Viability Score (1-10 scale as string): "8/10"
-2. Viability Reason: Why this content is commercially viable
-
-3. Sponsor Suggestions (3-5 potential sponsors):
-   - Company name, Industry
-   - Match reason (why this sponsor fits)
-   - Email draft (outreach template)`,
-
-    temperature: 0.6,
-
-    schema: `{
-  "viabilityScore": "8/10",
-  "viabilityReason": "...",
-  "sponsors": [{ "name": "...", "industry": "...", "matchReason": "...", "emailDraft": "..." }]
-}`,
-  };
-}
-
-// ============================================
-// Visual Asset Keywords
-// ============================================
-
-export interface VisualAssetKeywordsInput {
-  topic: string;
-  count: number;
-}
-
-export function buildVisualAssetKeywordsPrompt(
-  input: VisualAssetKeywordsInput,
-): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Generate ${input.count} specific, simple visual keywords for an image generator about "${input.topic}". 
-Format: "subject action context style". Keep it English, concise, no special chars.`,
-
-    temperature: 0.8,
-
-    schema: '["keyword1", "keyword2", ...]',
-  };
-}

src/modules/skriptai/prompts/character-generation.prompt.ts

@@ -1,38 +0,0 @@
-/**
- * Character Generation Prompt Builder
- *
- * Uses Alan C. Hueth's "Triunity of Character" model to create
- * rich character profiles for video content.
- *
- * Used in: ResearchService.generateCharacters()
- */
-
-export interface CharacterGenerationInput {
-  contentType: string;
-  topic: string;
-  language: string;
-}
-
-export function buildCharacterGenerationPrompt(
-  input: CharacterGenerationInput,
-): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Create Character Profiles for a ${input.contentType} about "${input.topic}".
-Use Alan C. Hueth's "Triunity of Character" model:
-1. Values (Inner belief)
-2. Traits (Personality)
-3. Mannerisms (External behavior)
-
-If format is non-fiction (Youtube Doc), create a 'Host/Narrator' persona and potentially an 'Antagonist' (e.g., The Problem, Time, A Rival).
-Language: ${input.language}.`,
-
-    temperature: 0.8,
-
-    schema:
-      '[{ "name": "Name", "role": "Protagonist", "values": "...", "traits": "...", "mannerisms": "..." }]',
-  };
-}

src/modules/skriptai/prompts/consistency-check.prompt.ts

@@ -1,103 +0,0 @@
-/**
- * Consistency Check Prompt Builder
- *
- * Phase 3: After all segments are generated, AI reviews the entire
- * script for tone consistency, flow, pacing, and logical connections.
- *
- * TR: Tutarlılık kontrolü — tüm segmentler üretildikten sonra ton, akış ve mantık kontrolü.
- */
-
-export interface ConsistencyCheckInput {
-  segments: {
-    type: string;
-    narratorScript: string;
-    visualDescription?: string;
-  }[];
-  speechStyles: string[];
-  targetAudience: string[];
-  topic: string;
-  language: string;
-}
-
-export function buildConsistencyCheckPrompt(input: ConsistencyCheckInput) {
-  const segmentText = input.segments
-    .map(
-      (s, i) =>
-        `[Segment ${i + 1} — ${s.type}]\n${s.narratorScript}\nVisual: ${s.visualDescription || 'N/A'}`,
-    )
-    .join('\n\n');
-
-  const prompt = `You are a senior script editor and quality assurance specialist.
-
-TASK: Review the entire script below for consistency, quality, and flow.
-
-TOPIC: "${input.topic}"
-SPEECH STYLE: ${input.speechStyles.join(', ')}
-TARGET AUDIENCE: ${input.targetAudience.join(', ')}
-LANGUAGE: ${input.language}
-
-FULL SCRIPT:
-${segmentText}
-
-EVALUATE AND PROVIDE:
-1. "overallScore" — Quality score 1-100
-2. "toneConsistency" — Score 1-10 for consistent tone/voice throughout
-3. "flowScore" — Score 1-10 for smooth transitions and logical progression
-4. "pacingScore" — Score 1-10 for good pacing (not too fast/slow)
-5. "engagementScore" — Score 1-10 for how engaging the content is
-6. "issues" — Array of specific issues found:
-   - "segmentIndex": which segment (0-based)
-   - "type": "tone_mismatch" | "flow_break" | "pacing_issue" | "repetition" | "logic_gap" | "weak_content"
-   - "description": human-readable explanation
-   - "severity": "low" | "medium" | "high"
-   - "suggestedFix": how to fix this issue
-7. "segmentsToRewrite" — Array of segment indexes (0-based) that should be rewritten
-8. "generalSuggestions" — Overall improvement suggestions (max 5)
-
-Be rigorous but fair. Only flag genuine issues that would impact the audience experience.
-Respond in ${input.language}.`;
-
-  const schema = {
-    type: 'object' as const,
-    properties: {
-      overallScore: { type: 'number' as const },
-      toneConsistency: { type: 'number' as const },
-      flowScore: { type: 'number' as const },
-      pacingScore: { type: 'number' as const },
-      engagementScore: { type: 'number' as const },
-      issues: {
-        type: 'array' as const,
-        items: {
-          type: 'object' as const,
-          properties: {
-            segmentIndex: { type: 'number' as const },
-            type: { type: 'string' as const },
-            description: { type: 'string' as const },
-            severity: { type: 'string' as const },
-            suggestedFix: { type: 'string' as const },
-          },
-        },
-      },
-      segmentsToRewrite: {
-        type: 'array' as const,
-        items: { type: 'number' as const },
-      },
-      generalSuggestions: {
-        type: 'array' as const,
-        items: { type: 'string' as const },
-      },
-    },
-    required: [
-      'overallScore',
-      'toneConsistency',
-      'flowScore',
-      'pacingScore',
-      'engagementScore',
-      'issues',
-      'segmentsToRewrite',
-      'generalSuggestions',
-    ],
-  };
-
-  return { prompt, temperature: 0.3, schema: JSON.stringify(schema) };
-}

src/modules/skriptai/prompts/deep-research.prompt.ts

@@ -1,51 +0,0 @@
-/**
- * Deep Research Prompt Builders
- *
- * Two-stage prompts:
- * 1. Generate search queries for a topic
- * 2. Find high-quality web sources for each query
- *
- * Used in: ResearchService.performDeepResearch()
- */
-
-export interface SearchQueryInput {
-  topic: string;
-  briefContext: string;
-  language: string;
-}
-
-export function buildSearchQueryPrompt(input: SearchQueryInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Generate 5 specific Google Search queries for "${input.topic}". 
-Context: ${input.briefContext}. Language: ${input.language}. 
-Return strictly a JSON array of strings.`,
-
-    temperature: 0.7,
-
-    schema: '["query1", "query2", ...]',
-  };
-}
-
-export interface SourceSearchInput {
-  query: string;
-  language: string;
-}
-
-export function buildSourceSearchPrompt(input: SourceSearchInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Find 3 high-quality web sources for: ${input.query}. Language: ${input.language}.
-Return JSON array: [{ "title": string, "url": string, "snippet": string, "type": "article" }]`,
-
-    temperature: 0.5,
-
-    schema: '[{ "title": "...", "url": "...", "snippet": "...", "type": "article" }]',
-  };
-}

src/modules/skriptai/prompts/discovery-questions.prompt.ts

@@ -1,53 +0,0 @@
-/**
- * Discovery Questions Prompt Builder
- *
- * Generates provocative "Screenwriter's Room" style questions
- * to help shape the narrative arc for a given topic.
- *
- * Used in: ResearchService.generateDiscoveryQuestions()
- */
-
-export interface DiscoveryQuestionsInput {
-  topic: string;
-  language: string;
-  existingQuestions?: string[];
-}
-
-export function buildDiscoveryQuestionsPrompt(
-  input: DiscoveryQuestionsInput,
-): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  const existingContext =
-    input.existingQuestions && input.existingQuestions.length > 0
-      ? `Avoid these questions: ${input.existingQuestions.join(', ')}`
-      : '';
-
-  return {
-    prompt: `You are an expert Screenwriter and Creative Director. Topic: "${input.topic}".
-      
-PHASE 1: DEEP DIVE
-Think like a filmmaker. We are not just making a video; we are telling a story.
-Analyze the topic "${input.topic}" to find the drama, the conflict, and the human element.
-
-PHASE 2: INTERROGATION
-Ask 3-4 provocative, "Screenwriter's Room" style questions to help shape the narrative arc.
-
-DO NOT ASK: "What is the goal?" or "Who is the audience?".
-
-INSTEAD ASK (Examples):
-- "What is the 'Inciting Incident' that makes this topic urgent right now?"
-- "If this topic was a character, what would be its fatal flaw?"
-- "What is the 'Villain' (opposing force or misconception) we are fighting against?"
-- "What is the emotional climax you want the viewer to feel at the end?"
-
-${existingContext}
-Output Language: ${input.language}.`,
-
-    temperature: 0.9,
-
-    schema: '{ "questions": ["Question 1", "Question 2", "Question 3", "Question 4"] }',
-  };
-}

src/modules/skriptai/prompts/index.ts

@@ -1,70 +0,0 @@
-/**
- * SkriptAI Prompt Index
- *
- * Centralized exports for all AI prompt builders.
- * Each prompt is a pure function that takes typed input and returns
- * { prompt, temperature, schema } — ready to pass to GeminiService methods.
- */
-
-// Discovery & Research
-export {
-  buildDiscoveryQuestionsPrompt,
-  type DiscoveryQuestionsInput,
-} from './discovery-questions.prompt';
-
-export {
-  buildSearchQueryPrompt,
-  buildSourceSearchPrompt,
-  type SearchQueryInput,
-  type SourceSearchInput,
-} from './deep-research.prompt';
-
-// Characters & Logline
-export {
-  buildCharacterGenerationPrompt,
-  type CharacterGenerationInput,
-} from './character-generation.prompt';
-
-export { buildLoglinePrompt, type LoglineInput } from './logline.prompt';
-
-// Script Generation
-export {
-  buildScriptOutlinePrompt,
-  buildChapterSegmentPrompt,
-  buildSegmentRewritePrompt,
-  buildSegmentImagePrompt,
-  calculateTargetWordCount,
-  calculateEstimatedChapters,
-  type ScriptOutlineInput,
-  type ChapterSegmentInput,
-  type SegmentRewriteInput,
-  type SegmentImagePromptInput,
-} from './script-generation.prompt';
-
-// Analysis
-export {
-  buildNeuroAnalysisPrompt,
-  buildYoutubeAuditPrompt,
-  buildCommercialBriefPrompt,
-  buildVisualAssetKeywordsPrompt,
-  type NeuroAnalysisInput,
-  type YoutubeAuditInput,
-  type CommercialBriefInput,
-  type VisualAssetKeywordsInput,
-} from './analysis.prompt';
-
-// Pipeline Enhancements (Faz 2.2)
-export {
-  buildTopicEnrichmentPrompt,
-  type TopicEnrichmentInput,
-} from './topic-enrichment.prompt';
-
-export {
-  buildConsistencyCheckPrompt,
-  type ConsistencyCheckInput,
-} from './consistency-check.prompt';
-
-export {
-  buildSelfCritiquePrompt,
-  type SelfCritiqueInput,
-} from './self-critique.prompt';

src/modules/skriptai/prompts/logline.prompt.ts

@@ -1,30 +0,0 @@
-/**
- * Logline & High Concept Prompt Builder
- *
- * Uses Hollywood Producer persona with Dallas Jones formula
- * to create compelling loglines and high concept premises.
- *
- * Used in: ResearchService.generateLogline()
- */
-
-export interface LoglineInput {
-  topic: string;
-  sourceContext: string;
-  language: string;
-}
-
-export function buildLoglinePrompt(input: LoglineInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Act as a Hollywood Producer. Topic: ${input.topic}. Material: ${input.sourceContext}.
-Create a "High Concept" premise and a "Logline" (Max 25 words, Dallas Jones formula).
-Language: ${input.language}.`,
-
-    temperature: 0.9,
-
-    schema: '{ "logline": "...", "highConcept": "..." }',
-  };
-}

src/modules/skriptai/prompts/script-generation.prompt.ts

@@ -1,191 +0,0 @@
-/**
- * Script Generation Prompt Builders
- *
- * Two-phase script generation:
- * - Phase 1: Content outline (chapters, SEO, thumbnails)
- * - Phase 2: Per-chapter segment generation
- * - Segment rewrite with style change
- * - Segment image prompt generation
- *
- * Used in: ScriptsService.generateScript(), rewriteSegment(), generateSegmentImage()
- */
-
-// ============================================
-// Phase 1: Outline
-// ============================================
-
-export interface ScriptOutlineInput {
-  topic: string;
-  logline: string;
-  characterContext: string;
-  speechStyles: string[];
-  targetAudience: string[];
-  contentType: string;
-  targetDuration: string;
-  targetWordCount: number;
-  estimatedChapters: number;
-  sourceContext: string;
-  briefContext: string;
-}
-
-export function buildScriptOutlinePrompt(input: ScriptOutlineInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Create a CONTENT OUTLINE.
-Topic: "${input.topic}"
-Logline: "${input.logline}"
-Characters: ${input.characterContext}
-Styles: ${input.speechStyles.join(', ')}. Audience: ${input.targetAudience.join(', ')}.
-Format: ${input.contentType}. Target Duration: ${input.targetDuration}. Target Total Word Count: ${input.targetWordCount}.
-Generate exactly ${input.estimatedChapters} chapters.
-Material: ${input.sourceContext.substring(0, 15000)}
-Brief: ${input.briefContext}`,
-
-    temperature: 0.7,
-
-    schema: `{ 
-  "title": "Title", 
-  "seoDescription": "Desc", 
-  "tags": ["tag1"], 
-  "thumbnailIdeas": ["Idea 1"],
-  "chapters": [{ "title": "Chap 1", "focus": "Summary", "type": "Intro" }] 
-}`,
-  };
-}
-
-// ============================================
-// Phase 2: Chapter → Segments
-// ============================================
-
-export interface ChapterSegmentInput {
-  chapterIndex: number;
-  totalChapters: number;
-  chapterTitle: string;
-  chapterFocus: string;
-  chapterType: string;
-  speechStyles: string[];
-  targetAudience: string[];
-  characterContext: string;
-  language: string;
-}
-
-export function buildChapterSegmentPrompt(input: ChapterSegmentInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Write Script Segment ${input.chapterIndex + 1}/${input.totalChapters}.
-Chapter: "${input.chapterTitle}". Focus: ${input.chapterFocus}.
-Style: ${input.speechStyles.join(', ')}.
-Audience: ${input.targetAudience.join(', ')}.
-Characters: ${input.characterContext}.
-Target Length: ~200 words.
-Language: ${input.language}.`,
-
-    temperature: 0.8,
-
-    schema: `[{ 
-  "segmentType": "${input.chapterType || 'Body'}", 
-  "narratorScript": "Full text...", 
-  "visualDescription": "Detailed visual explanation...", 
-  "videoPrompt": "Cinematic shot of [subject], 4k...",
-  "imagePrompt": "Hyper-realistic photo of [subject]...",
-  "onScreenText": "Overlay text...",
-  "stockQuery": "Pexels keyword",
-  "audioCues": "SFX..." 
-}]`,
-  };
-}
-
-// ============================================
-// Segment Rewrite
-// ============================================
-
-export interface SegmentRewriteInput {
-  currentScript: string;
-  newStyle: string;
-  topic: string;
-  language: string;
-}
-
-export function buildSegmentRewritePrompt(input: SegmentRewriteInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Rewrite this script segment.
-Current Text: "${input.currentScript}"
-Goal: Change style to "${input.newStyle}".
-Context: Topic is "${input.topic}". Language: ${input.language}.
-Principles: Show Don't Tell, Subtext.`,
-
-    temperature: 0.85,
-
-    schema: `{
-  "narratorScript": "New text...",
-  "visualDescription": "Updated visual...",
-  "onScreenText": "Updated overlay...",
-  "audioCues": "Updated audio..."
-}`,
-  };
-}
-
-// ============================================
-// Segment Image Prompt
-// ============================================
-
-export interface SegmentImagePromptInput {
-  topic: string;
-  narratorScript: string;
-  visualDescription: string;
-}
-
-export function buildSegmentImagePrompt(input: SegmentImagePromptInput): {
-  prompt: string;
-  temperature: number;
-  schema: string;
-} {
-  return {
-    prompt: `Create a detailed AI Image Generation Prompt and a Video Generation Prompt for this script segment.
-Topic: "${input.topic}"
-Segment Content: "${input.narratorScript}"
-Visual Context: "${input.visualDescription}"
-
-Goal: Create a highly detailed, cinematic, and artistic prompt optimized for tools like Midjourney, Flux, or Runway.
-Style: Cinematic, highly detailed, 8k, professional lighting.`,
-
-    temperature: 0.7,
-
-    schema: `{
-  "imagePrompt": "Full detailed image prompt...",
-  "videoPrompt": "Full detailed video prompt..."
-}`,
-  };
-}
-
-// ============================================
-// Helpers
-// ============================================
-
-/**
- * Calculate target word count based on duration string
- */
-export function calculateTargetWordCount(targetDuration: string): number {
-  if (targetDuration.includes('Short')) return 140;
-  if (targetDuration.includes('Standard')) return 840;
-  if (targetDuration.includes('Long')) return 1680;
-  if (targetDuration.includes('Deep Dive')) return 2800;
-  return 840;
-}
-
-/**
- * Calculate estimated chapters based on word count
- */
-export function calculateEstimatedChapters(targetWordCount: number): number {
-  return Math.ceil(targetWordCount / 200);
-}

src/modules/skriptai/prompts/self-critique.prompt.ts

@@ -1,91 +0,0 @@
-/**
- * Self-Critique Prompt Builder
- *
- * Phase 4: AI critiques individual segments, scoring them on multiple
- * dimensions. Low-scoring segments are automatically flagged for rewrite.
- *
- * TR: Öz-eleştiri — AI her segmenti birden fazla boyutta puanlar, düşük puanlıları yeniden yazmak üzere işaretler.
- */
-
-export interface SelfCritiqueInput {
-  segment: {
-    type: string;
-    narratorScript: string;
-    visualDescription?: string;
-    onScreenText?: string;
-  };
-  segmentIndex: number;
-  topic: string;
-  speechStyles: string[];
-  targetAudience: string[];
-  language: string;
-}
-
-export function buildSelfCritiquePrompt(input: SelfCritiqueInput) {
-  const prompt = `You are a ruthless but fair content critic and quality scorer.
-
-TASK: Score the following script segment in multiple dimensions and provide rewrite recommendations if quality is low.
-
-TOPIC: "${input.topic}"
-SEGMENT INDEX: ${input.segmentIndex}
-SEGMENT TYPE: ${input.segment.type}
-SPEECH STYLE: ${input.speechStyles.join(', ')}
-TARGET AUDIENCE: ${input.targetAudience.join(', ')}
-LANGUAGE: ${input.language}
-
-SEGMENT CONTENT:
----
-NARRATOR: ${input.segment.narratorScript}
-VISUAL: ${input.segment.visualDescription || 'Not specified'}
-ON-SCREEN TEXT: ${input.segment.onScreenText || 'None'}
----
-
-SCORE EACH DIMENSION (1-10):
-1. "clarity" — Is the message clear and easy to understand?
-2. "engagement" — Does it hook and maintain attention?
-3. "originality" — Is it fresh and not generic?
-4. "audienceMatch" — Does it match the target audience tone?
-5. "visualAlignment" — Do script and visual description complement each other?
-6. "emotionalImpact" — Does it evoke the intended emotion?
-
-ALSO PROVIDE:
-7. "averageScore" — Average of all scores
-8. "shouldRewrite" — true if averageScore < 6.5
-9. "weaknesses" — Array of specific weaknesses (max 3)
-10. "rewriteInstructions" — If shouldRewrite is true, specific instructions for improvement
-
-Be honest and critical. Don't inflate scores.
-Respond in ${input.language}.`;
-
-  const schema = {
-    type: 'object' as const,
-    properties: {
-      clarity: { type: 'number' as const },
-      engagement: { type: 'number' as const },
-      originality: { type: 'number' as const },
-      audienceMatch: { type: 'number' as const },
-      visualAlignment: { type: 'number' as const },
-      emotionalImpact: { type: 'number' as const },
-      averageScore: { type: 'number' as const },
-      shouldRewrite: { type: 'boolean' as const },
-      weaknesses: {
-        type: 'array' as const,
-        items: { type: 'string' as const },
-      },
-      rewriteInstructions: { type: 'string' as const },
-    },
-    required: [
-      'clarity',
-      'engagement',
-      'originality',
-      'audienceMatch',
-      'visualAlignment',
-      'emotionalImpact',
-      'averageScore',
-      'shouldRewrite',
-      'weaknesses',
-    ],
-  };
-
-  return { prompt, temperature: 0.2, schema: JSON.stringify(schema) };
-}

src/modules/skriptai/prompts/topic-enrichment.prompt.ts

@@ -1,80 +0,0 @@
-/**
- * Topic Enrichment Prompt Builder
- *
- * Phase 0: Before outline generation, AI expands and refines the topic.
- * Provides additional angles, sub-topics, and creative directions.
- *
- * TR: Konu zenginleştirme — outline üretilmeden önce konuyu AI ile genişletir.
- */
-
-export interface TopicEnrichmentInput {
-  topic: string;
-  contentType: string;
-  targetAudience: string[];
-  language: string;
-  userNotes?: string;
-}
-
-export function buildTopicEnrichmentPrompt(input: TopicEnrichmentInput) {
-  const prompt = `You are a world-class content strategist and creative director.
-
-TASK: Enrich and expand the following topic into a comprehensive content brief.
-
-TOPIC: "${input.topic}"
-CONTENT TYPE: ${input.contentType}
-TARGET AUDIENCE: ${input.targetAudience.join(', ')}
-LANGUAGE: ${input.language}
-${input.userNotes ? `USER NOTES: ${input.userNotes}` : ''}
-
-REQUIREMENTS:
-1. "enrichedTopic" — A refined, more compelling version of the topic (catchy, SEO-friendly)
-2. "angles" — 3-5 unique angles/perspectives to approach this topic
-3. "subTopics" — 5-8 key sub-topics that should be covered
-4. "hookIdeas" — 3 powerful hook ideas to start the content
-5. "emotionalCore" — The primary emotional journey the audience should feel
-6. "uniqueValue" — What makes this content different from existing content on this topic
-7. "keyQuestions" — 5-7 questions the audience would want answered
-8. "controversialTakes" — 2-3 thought-provoking or controversial perspectives (optional, if relevant)
-
-Respond in ${input.language}. Be creative and think beyond the obvious.`;
-
-  const schema = {
-    type: 'object' as const,
-    properties: {
-      enrichedTopic: { type: 'string' as const },
-      angles: {
-        type: 'array' as const,
-        items: { type: 'string' as const },
-      },
-      subTopics: {
-        type: 'array' as const,
-        items: { type: 'string' as const },
-      },
-      hookIdeas: {
-        type: 'array' as const,
-        items: { type: 'string' as const },
-      },
-      emotionalCore: { type: 'string' as const },
-      uniqueValue: { type: 'string' as const },
-      keyQuestions: {
-        type: 'array' as const,
-        items: { type: 'string' as const },
-      },
-      controversialTakes: {
-        type: 'array' as const,
-        items: { type: 'string' as const },
-      },
-    },
-    required: [
-      'enrichedTopic',
-      'angles',
-      'subTopics',
-      'hookIdeas',
-      'emotionalCore',
-      'uniqueValue',
-      'keyQuestions',
-    ],
-  };
-
-  return { prompt, temperature: 0.9, schema: JSON.stringify(schema) };
-}