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Author SHA1 Message Date
Harun CAN e60b6ea526 main
CI / build (push) Has been cancelled
2026-03-23 02:34:03 +03:00
Harun CAN 83b0ae61a8 main 2026-03-23 02:26:08 +03:00
Harun CAN 458127ce76 Initial commit 2026-03-23 01:59:17 +03:00
93 changed files with 4544 additions and 363 deletions
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# Auto detect text files and perform LF normalization
* text=auto
-36
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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
+19 -26
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@@ -1,56 +1,49 @@
# --- Build Stage --- # Build stage
FROM node:20-alpine AS builder FROM node:20-alpine AS builder
WORKDIR /app WORKDIR /app
# Raspberry Pi ve Prisma uyumluluğu için gerekli kütüphaneler # Copy package files
RUN apk add --no-cache openssl libc6-compat
# Paket dosyalarını kopyala
COPY package*.json ./ COPY package*.json ./
# Install dependencies
RUN npm ci RUN npm ci
# Kaynak kodları kopyala # Copy source code
COPY . . COPY . .
# Prisma client üret (Database şeman için şart) # Generate Prisma client
RUN npx prisma generate RUN npx prisma generate
# Build al (NestJS/Backend için) # Build the application
RUN npm run build RUN npm run build
# --- Production Stage (Canlı Sistem) --- # Production stage
FROM node:20-alpine AS production FROM node:20-alpine AS production
# Prisma için gerekli kütüphaneleri buraya da ekliyoruz
RUN apk add --no-cache openssl libc6-compat
WORKDIR /app WORKDIR /app
# Copy package files
COPY package*.json ./ COPY package*.json ./
# Sadece production (canlıda lazım olan) paketleri kur # Install production dependencies only
RUN npm ci --only=production RUN npm ci --only=production
# Prisma şemasını taşı ve client üret # Copy Prisma schema and generate client
COPY prisma ./prisma COPY prisma ./prisma
RUN npx prisma generate RUN npx prisma generate
# Build edilen dosyaları taşı (Senin Dockerfile'ındaki yapıya sadık kaldım) # Copy built application
# Güvenlik için dosyaları 'node' kullanıcısına zimmetliyoruz COPY --from=builder /app/dist ./dist
COPY --chown=node:node --from=builder /app/dist ./dist
# Eğer i18n varsa onu da taşı # Copy i18n files
COPY --chown=node:node --from=builder /app/src/i18n ./dist/i18n COPY --from=builder /app/src/i18n ./dist/i18n
# Ortam değişkeni # Set environment
ENV NODE_ENV=production ENV NODE_ENV=production
# Portu aç # Expose port
EXPOSE 3000 EXPOSE 3000
# Güvenlik: Root yerine 'node' kullanıcısına geç # Start the application
USER node CMD ["node", "dist/main.js"]
# Uygulamayı başlat
CMD ["node", "dist/main.js"]
+21
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@@ -0,0 +1,21 @@
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
}
}]
};
-146
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```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
```
```
-65
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@@ -1,65 +0,0 @@
# 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.
+20 -40
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@@ -1,11 +1,11 @@
{ {
"name": "bbb", "name": "skriptAI-be",
"version": "0.0.1", "version": "0.0.1",
"lockfileVersion": 3, "lockfileVersion": 3,
"requires": true, "requires": true,
"packages": { "packages": {
"": { "": {
"name": "bbb", "name": "skriptAI-be",
"version": "0.0.1", "version": "0.0.1",
"license": "UNLICENSED", "license": "UNLICENSED",
"dependencies": { "dependencies": {
@@ -42,7 +42,7 @@
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"reflect-metadata": "^0.2.2", "reflect-metadata": "^0.2.2",
"rxjs": "^7.8.1", "rxjs": "^7.8.1",
"zod": "^4.3.5" "zod": "^4.3.6"
}, },
"devDependencies": { "devDependencies": {
"@eslint/eslintrc": "^3.2.0", "@eslint/eslintrc": "^3.2.0",
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"integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==", "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==",
"dev": true "dev": true,
"peer": true
}, },
"node_modules/webpack/node_modules/mime-db": { "node_modules/webpack/node_modules/mime-db": {
"version": "1.52.0", "version": "1.52.0",
"resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz", "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
"integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==", "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
"dev": true, "dev": true,
"peer": true,
"engines": { "engines": {
"node": ">= 0.6" "node": ">= 0.6"
} }
@@ -12734,6 +12711,7 @@
"resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz", "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
"integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==", "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
"dev": true, "dev": true,
"peer": true,
"dependencies": { "dependencies": {
"mime-db": "1.52.0" "mime-db": "1.52.0"
}, },
@@ -12746,6 +12724,7 @@
"resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz", "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz",
"integrity": "sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA==", "integrity": "sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA==",
"dev": true, "dev": true,
"peer": true,
"dependencies": { "dependencies": {
"@types/json-schema": "^7.0.9", "@types/json-schema": "^7.0.9",
"ajv": "^8.9.0", "ajv": "^8.9.0",
@@ -12953,9 +12932,10 @@
} }
}, },
"node_modules/zod": { "node_modules/zod": {
"version": "4.3.5", "version": "4.3.6",
"resolved": "https://registry.npmjs.org/zod/-/zod-4.3.5.tgz", "resolved": "https://registry.npmjs.org/zod/-/zod-4.3.6.tgz",
"integrity": "sha512-k7Nwx6vuWx1IJ9Bjuf4Zt1PEllcwe7cls3VNzm4CQ1/hgtFUK2bRNG3rvnpPUhFjmqJKAKtjV576KnUkHocg/g==", "integrity": "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg==",
"license": "MIT",
"funding": { "funding": {
"url": "https://github.com/sponsors/colinhacks" "url": "https://github.com/sponsors/colinhacks"
} }
+2 -2
View File
@@ -1,5 +1,5 @@
{ {
"name": "bbb", "name": "skriptAI-be",
"version": "0.0.1", "version": "0.0.1",
"description": "Generated by Antigravity CLI", "description": "Generated by Antigravity CLI",
"private": true, "private": true,
@@ -52,7 +52,7 @@
"prisma": "^5.22.0", "prisma": "^5.22.0",
"reflect-metadata": "^0.2.2", "reflect-metadata": "^0.2.2",
"rxjs": "^7.8.1", "rxjs": "^7.8.1",
"zod": "^4.3.5" "zod": "^4.3.6"
}, },
"devDependencies": { "devDependencies": {
"@eslint/eslintrc": "^3.2.0", "@eslint/eslintrc": "^3.2.0",
+191
View File
@@ -25,6 +25,7 @@ model User {
// Relations // Relations
roles UserRole[] roles UserRole[]
refreshTokens RefreshToken[] refreshTokens RefreshToken[]
projects ScriptProject[]
// Multi-tenancy (optional) // Multi-tenancy (optional)
tenantId String? tenantId String?
@@ -160,3 +161,193 @@ model Translation {
@@index([locale]) @@index([locale])
@@index([namespace]) @@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])
}
+32
View File
@@ -0,0 +1,32 @@
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;
}
}
+32
View File
@@ -0,0 +1,32 @@
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;
}
}
+24
View File
@@ -0,0 +1,24 @@
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 $scheme;
}
}
+2
View File
@@ -39,6 +39,7 @@ import { UsersModule } from './modules/users/users.module';
import { AdminModule } from './modules/admin/admin.module'; import { AdminModule } from './modules/admin/admin.module';
import { HealthModule } from './modules/health/health.module'; import { HealthModule } from './modules/health/health.module';
import { GeminiModule } from './modules/gemini/gemini.module'; import { GeminiModule } from './modules/gemini/gemini.module';
import { SkriptaiModule } from './modules/skriptai/skriptai.module';
// Guards // Guards
import { import {
@@ -159,6 +160,7 @@ import {
// Optional Modules (controlled by env variables) // Optional Modules (controlled by env variables)
GeminiModule, GeminiModule,
SkriptaiModule,
HealthModule, HealthModule,
], ],
providers: [ providers: [
@@ -80,7 +80,7 @@ export class GlobalExceptionFilter implements ExceptionFilter {
}); });
// Only update if translation exists (key is different from result) // Only update if translation exists (key is different from result)
if (translatedMessage !== `errors.${message}`) { if (translatedMessage !== `errors.${message}`) {
message = translatedMessage as string; message = translatedMessage;
} }
} }
} catch { } catch {
+1 -1
View File
@@ -24,7 +24,7 @@ export const envSchema = z.object({
// JWT // JWT
JWT_SECRET: z.string().min(32), JWT_SECRET: z.string().min(32),
JWT_ACCESS_EXPIRATION: z.string().default('15m'), JWT_ACCESS_EXPIRATION: z.string().default('24h'),
JWT_REFRESH_EXPIRATION: z.string().default('7d'), JWT_REFRESH_EXPIRATION: z.string().default('7d'),
// Redis // Redis
+18
View File
@@ -0,0 +1,18 @@
{
"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"
}
+18
View File
@@ -0,0 +1,18 @@
{
"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"
}
+1 -4
View File
@@ -18,10 +18,7 @@ async function bootstrap() {
app.useGlobalInterceptors(new LoggerErrorInterceptor()); app.useGlobalInterceptors(new LoggerErrorInterceptor());
// Security Headers // Security Headers
app.use(helmet({ app.use(helmet());
contentSecurityPolicy: false,
crossOriginEmbedderPolicy: false,
}));
// Graceful Shutdown (Prisma & Docker) // Graceful Shutdown (Prisma & Docker)
app.enableShutdownHooks(); app.enableShutdownHooks();
+456 -41
View File
@@ -1,12 +1,18 @@
import { Injectable, OnModuleInit, Logger } from '@nestjs/common'; import { Injectable, OnModuleInit, Logger } from '@nestjs/common';
import { ConfigService } from '@nestjs/config'; import { ConfigService } from '@nestjs/config';
import { GoogleGenAI } from '@google/genai'; import { GoogleGenAI } from '@google/genai';
import { ZodSchema, ZodError } from 'zod';
// ============================================
// Types & Interfaces
// ============================================
export interface GeminiGenerateOptions { export interface GeminiGenerateOptions {
model?: string; model?: string;
systemPrompt?: string; systemPrompt?: string;
temperature?: number; temperature?: number;
maxTokens?: number; maxTokens?: number;
tools?: any[];
} }
export interface GeminiChatMessage { export interface GeminiChatMessage {
@@ -14,30 +20,72 @@ export interface GeminiChatMessage {
content: string; 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;
}
/** /**
* Gemini AI Service * Error types for Gemini API failures
*/
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 generation using Google Gemini API. * Provides AI-powered text/JSON/image generation using Google Gemini API.
* This service is globally available when ENABLE_GEMINI=true. * 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 * @example
* ```typescript * ```typescript
* // Simple text generation * // Simple text generation
* const response = await geminiService.generateText('Write a poem about coding'); * const response = await geminiService.generateText('Write a poem about coding');
* *
* // With options * // JSON generation with Zod validation
* const response = await geminiService.generateText('Translate to Turkish', { * import { z } from 'zod';
* temperature: 0.7, * const schema = z.object({ title: z.string(), score: z.number() });
* systemPrompt: 'You are a professional translator', * const result = await geminiService.generateJSON(
* }); * '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() @Injectable()
@@ -86,6 +134,10 @@ export class GeminiService implements OnModuleInit {
return this.isEnabled && this.client !== null; return this.isEnabled && this.client !== null;
} }
// ============================================
// Text Generation
// ============================================
/** /**
* Generate text content from a prompt * Generate text content from a prompt
* *
@@ -97,11 +149,10 @@ export class GeminiService implements OnModuleInit {
prompt: string, prompt: string,
options: GeminiGenerateOptions = {}, options: GeminiGenerateOptions = {},
): Promise<{ text: string; usage?: any }> { ): Promise<{ text: string; usage?: any }> {
if (!this.isAvailable()) { this.ensureAvailable();
throw new Error('Gemini AI is not available. Check your configuration.');
}
const model = options.model || this.defaultModel; const model = options.model || this.defaultModel;
const startTime = Date.now();
try { try {
const contents: any[] = []; const contents: any[] = [];
@@ -129,19 +180,31 @@ export class GeminiService implements OnModuleInit {
config: { config: {
temperature: options.temperature, temperature: options.temperature,
maxOutputTokens: options.maxTokens, maxOutputTokens: options.maxTokens,
tools: options.tools,
}, },
}); });
const durationMs = Date.now() - startTime;
this.logUsage('generateText', model, response.usageMetadata, durationMs);
return { return {
text: (response.text || '').trim(), text: (response.text || '').trim(),
usage: response.usageMetadata, usage: response.usageMetadata,
}; };
} catch (error) { } catch (error) {
this.logger.error('Gemini generation failed', error); const durationMs = Date.now() - startTime;
throw error; this.logger.error(
`Gemini generation failed after ${durationMs}ms`,
error,
);
throw this.classifyError(error);
} }
} }
// ============================================
// Chat
// ============================================
/** /**
* Have a multi-turn chat conversation * Have a multi-turn chat conversation
* *
@@ -153,11 +216,10 @@ export class GeminiService implements OnModuleInit {
messages: GeminiChatMessage[], messages: GeminiChatMessage[],
options: GeminiGenerateOptions = {}, options: GeminiGenerateOptions = {},
): Promise<{ text: string; usage?: any }> { ): Promise<{ text: string; usage?: any }> {
if (!this.isAvailable()) { this.ensureAvailable();
throw new Error('Gemini AI is not available. Check your configuration.');
}
const model = options.model || this.defaultModel; const model = options.model || this.defaultModel;
const startTime = Date.now();
try { try {
const contents = messages.map((msg) => ({ const contents = messages.map((msg) => ({
@@ -188,53 +250,406 @@ export class GeminiService implements OnModuleInit {
}, },
}); });
const durationMs = Date.now() - startTime;
this.logUsage('chat', model, response.usageMetadata, durationMs);
return { return {
text: (response.text || '').trim(), text: (response.text || '').trim(),
usage: response.usageMetadata, usage: response.usageMetadata,
}; };
} catch (error) { } catch (error) {
this.logger.error('Gemini chat failed', error); this.logger.error('Gemini chat failed', error);
throw error; throw this.classifyError(error);
} }
} }
// ============================================
// JSON Generation (Enhanced)
// ============================================
/** /**
* Generate structured JSON output * Generate structured JSON output with retry, recovery, and optional Zod validation.
*
* 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 prompt - The prompt describing what JSON to generate
* @param schema - JSON schema description for the expected output * @param schema - JSON schema description for the expected output (human readable)
* @param options - Optional configuration for the generation * @param options - Optional configuration including zodSchema and maxRetries
* @returns Parsed JSON object * @returns Parsed and optionally validated JSON object
*/ */
async generateJSON<T = any>( async generateJSON<T = any>(
prompt: string, prompt: string,
schema: string, schema: string,
options: GeminiGenerateOptions = {}, options: GeminiJSONOptions<T> = {},
): Promise<{ data: T; usage?: any }> { ): Promise<{ data: T; usage?: any }> {
const fullPrompt = `${prompt} 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: Output the result as valid JSON that matches this schema:
${schema} ${schema}
IMPORTANT: Only output valid JSON, no markdown code blocks or other text.`; IMPORTANT: Only output valid JSON, no markdown code blocks or other text.`;
const response = await this.generateText(fullPrompt, options); const contents: any[] = [];
if (options.systemPrompt) {
contents.push({
role: 'user',
parts: [{ text: options.systemPrompt }],
});
contents.push({
role: 'model',
parts: [
{ 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;
// 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;
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 { try {
// Try to extract JSON from the response // Use Imagen 3.0 (Nano Banana Pro)
let jsonStr = response.text; const model = 'imagen-3.0-generate-001';
// Remove potential markdown code blocks const response = (await this.client!.models.generateImages({
const jsonMatch = jsonStr.match(/```(?:json)?\s*([\s\S]*?)```/); model,
if (jsonMatch) { prompt,
jsonStr = jsonMatch[1].trim(); 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}`;
} }
const data = JSON.parse(jsonStr) as T; throw new GeminiException(
return { data, usage: response.usage }; 'No image returned from Gemini',
GeminiErrorType.INVALID_RESPONSE,
);
} catch (error) { } catch (error) {
this.logger.error('Failed to parse JSON response', error); if (error instanceof GeminiException) throw error;
throw new Error('Failed to parse AI response as JSON'); 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));
}
} }
@@ -0,0 +1,75 @@
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 };
}
}
@@ -0,0 +1,5 @@
export * from './projects.controller';
export * from './scripts.controller';
export * from './research.controller';
export * from './analysis.controller';
export * from './versions.controller';
@@ -0,0 +1,87 @@
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);
}
}
@@ -0,0 +1,166 @@
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);
}
}
@@ -0,0 +1,123 @@
import {
Controller,
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,
);
}
}
@@ -0,0 +1,96 @@
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);
}
}
+3
View File
@@ -0,0 +1,3 @@
export * from './project.dto';
export * from './segment.dto';
export * from './research.dto';
+143
View File
@@ -0,0 +1,143 @@
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[];
}
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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;
}
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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;
}
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export * from './skriptai.module';
export * from './services';
export * from './controllers';
export * from './dto';
export * from './types/skriptai.types';
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/**
* 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", ...]',
};
}
@@ -0,0 +1,38 @@
/**
* 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: ${input.language}.`,
temperature: 0.8,
schema:
'[{ "name": "Name", "role": "Protagonist", "values": "...", "traits": "...", "mannerisms": "..." }]',
};
}
@@ -0,0 +1,51 @@
/**
* Deep Research Prompt Builders
*
* Two-stage prompts:
* 1. Generate search queries for a topic
* 2. Find high-quality web sources for each query
*
* Used in: ResearchService.performDeepResearch()
*/
export interface SearchQueryInput {
topic: string;
briefContext: string;
language: string;
}
export function buildSearchQueryPrompt(input: SearchQueryInput): {
prompt: string;
temperature: number;
schema: string;
} {
return {
prompt: `Generate 5 specific Google Search queries for "${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" }]',
};
}
@@ -0,0 +1,53 @@
/**
* 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"] }',
};
}
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/**
* 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';
@@ -0,0 +1,30 @@
/**
* 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: ${input.language}.`,
temperature: 0.9,
schema: '{ "logline": "...", "highConcept": "..." }',
};
}
@@ -0,0 +1,191 @@
/**
* Script Generation Prompt Builders
*
* Two-phase script generation:
* - Phase 1: Content outline (chapters, SEO, thumbnails)
* - Phase 2: Per-chapter segment generation
* - Segment rewrite with style change
* - Segment image prompt generation
*
* Used in: ScriptsService.generateScript(), rewriteSegment(), generateSegmentImage()
*/
// ============================================
// Phase 1: Outline
// ============================================
export interface ScriptOutlineInput {
topic: string;
logline: string;
characterContext: string;
speechStyles: string[];
targetAudience: string[];
contentType: string;
targetDuration: string;
targetWordCount: number;
estimatedChapters: number;
sourceContext: string;
briefContext: string;
}
export function buildScriptOutlinePrompt(input: ScriptOutlineInput): {
prompt: string;
temperature: number;
schema: string;
} {
return {
prompt: `Create a CONTENT OUTLINE.
Topic: "${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);
}
@@ -0,0 +1,229 @@
import { Injectable, Logger, NotFoundException } from '@nestjs/common';
import { PrismaService } from '../../../database/prisma.service';
import { GeminiService } from '../../gemini/gemini.service';
import { NeuroAnalysisResult, YoutubeAudit } from '../types/skriptai.types';
import {
buildNeuroAnalysisPrompt,
buildYoutubeAuditPrompt,
buildCommercialBriefPrompt,
buildVisualAssetKeywordsPrompt,
} from '../prompts';
/**
* AnalysisService
*
* Service for AI-powered content analysis including:
* - Neuro Marketing Analysis
* - YouTube Audit
* - Commercial Brief Generation
*
* TR: AI destekli içerik analizi servisi (Nöro Pazarlama, YouTube Denetimi, Ticari Brief).
* EN: Service for AI-powered content analysis.
*/
@Injectable()
export class AnalysisService {
private readonly logger = new Logger(AnalysisService.name);
constructor(
private readonly prisma: PrismaService,
private readonly gemini: GeminiService,
) {}
/**
* Perform Neuro Marketing Analysis on a script
*
* @param projectId - Project ID
* @returns Neuro analysis result
*/
async analyzeNeuroMarketing(projectId: string): Promise<NeuroAnalysisResult> {
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
include: { segments: { orderBy: { sortOrder: 'asc' } } },
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
const fullScript = project.segments
.map((s) => s.narratorScript)
.join('\n\n');
const promptData = buildNeuroAnalysisPrompt({ fullScript });
const resp = await this.gemini.generateJSON<NeuroAnalysisResult>(
promptData.prompt,
promptData.schema,
{ temperature: promptData.temperature },
);
// Save to project
await this.prisma.scriptProject.update({
where: { id: projectId },
data: { neuroAnalysis: resp.data as any },
});
return resp.data;
}
/**
* Perform YouTube Audit
*
* @param projectId - Project ID
* @returns YouTube audit result
*/
async performYoutubeAudit(projectId: string): Promise<YoutubeAudit> {
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
include: { segments: { orderBy: { sortOrder: 'asc' } } },
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
const fullScript = project.segments
.map((s) => s.narratorScript)
.join('\n\n');
const promptData = buildYoutubeAuditPrompt({
topic: project.topic,
fullScript,
});
const resp = await this.gemini.generateJSON<YoutubeAudit>(
promptData.prompt,
promptData.schema,
{ temperature: promptData.temperature },
);
// Save to project
await this.prisma.scriptProject.update({
where: { id: projectId },
data: { youtubeAudit: resp.data as any },
});
return resp.data;
}
/**
* Generate Commercial Brief (Sponsorship Analysis)
*
* @param projectId - Project ID
* @returns Commercial brief with sponsor suggestions
*/
async generateCommercialBrief(projectId: string) {
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
include: { segments: { orderBy: { sortOrder: 'asc' } } },
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
const fullScript = project.segments
.map((s) => s.narratorScript)
.join('\n\n');
const promptData = buildCommercialBriefPrompt({
topic: project.topic,
targetAudience: project.targetAudience,
contentType: project.contentType,
fullScript,
});
const resp = await this.gemini.generateJSON<{
viabilityScore: string;
viabilityReason: string;
sponsors: {
name: string;
industry: string;
matchReason: string;
emailDraft: string;
}[];
}>(promptData.prompt, promptData.schema, {
temperature: promptData.temperature,
});
// Save to project
await this.prisma.scriptProject.update({
where: { id: projectId },
data: { commercialBrief: resp.data as any },
});
return resp.data;
}
/**
* Generate thumbnails using external image service
* Applies "Nano Banana" prompt enrichment for high-quality results.
*
* @param prompt - Image generation prompt
* @returns Generated image URL
*/
async generateThumbnailImage(prompt: string): Promise<string> {
// Quality boosters (Nano Banana style)
const QUALITY_BOOSTERS = [
'highly detailed',
'8k resolution',
'professional photography',
'studio lighting',
'sharp focus',
'cinematic composition',
'vibrant colors',
'masterpiece',
];
// Enrich prompt with Nano Banana logic
const enrichedPrompt = `${prompt}, ${QUALITY_BOOSTERS.join(', ')}. CRITICAL OBJECTIVE: The result MUST achieve a perfect 10/10 score. Clarity: 10/10. Professionalism: 10/10.`;
// Use Real Nano Banana (Gemini Imagen)
return await this.gemini.generateImage(enrichedPrompt);
}
/**
* Generate visual assets for a project
*
* @param projectId - Project ID
* @param count - Number of assets to generate
* @returns Generated visual assets
*/
async generateVisualAssets(projectId: string, count: number = 5) {
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
const promptData = buildVisualAssetKeywordsPrompt({
topic: project.topic,
count,
});
const resp = await this.gemini.generateJSON<string[]>(
promptData.prompt,
promptData.schema,
{ temperature: promptData.temperature },
);
// Generate image URLs and save to database
const assets = await Promise.all(
resp.data.map(async (keyword) => {
const url = await this.generateThumbnailImage(keyword);
return this.prisma.visualAsset.create({
data: {
projectId,
url,
desc: keyword,
selected: true,
},
});
}),
);
return assets;
}
}
+5
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@@ -0,0 +1,5 @@
export * from './projects.service';
export * from './scripts.service';
export * from './research.service';
export * from './analysis.service';
export * from './versions.service';
@@ -0,0 +1,309 @@
import { Injectable, Logger, NotFoundException } from '@nestjs/common';
import { PrismaService } from '../../../database/prisma.service';
import { CreateProjectDto, UpdateProjectDto } from '../dto';
/**
* ProjectsService
*
* Service for managing script projects (CRUD operations).
*
* TR: Script projelerini yönetmek için servis (CRUD operasyonları).
* EN: Service for managing script projects (CRUD operations).
*/
@Injectable()
export class ProjectsService {
private readonly logger = new Logger(ProjectsService.name);
constructor(private readonly prisma: PrismaService) {}
/**
* Create a new script project
*
* @param data - Project creation data
* @param userId - Optional user ID for ownership
* @returns Created project
*/
async create(data: CreateProjectDto, userId?: string) {
this.logger.log(`Creating project: ${data.topic}`);
return this.prisma.scriptProject.create({
data: {
...data,
userId,
seoTags: [],
thumbnailIdeas: [],
},
include: {
segments: true,
sources: true,
characters: true,
briefItems: true,
},
});
}
/**
* Find all projects for a user
*
* @param userId - User ID (optional, returns all if not provided)
* @returns List of projects
*/
async findAll(userId?: string) {
const where = userId ? { userId, deletedAt: null } : { deletedAt: null };
return this.prisma.scriptProject.findMany({
where,
orderBy: { updatedAt: 'desc' },
include: {
_count: {
select: {
segments: true,
sources: true,
},
},
},
});
}
/**
* Find a project by ID
*
* @param id - Project ID
* @returns Project with all relations
*/
async findOne(id: string) {
const project = await this.prisma.scriptProject.findUnique({
where: { id },
include: {
segments: { orderBy: { sortOrder: 'asc' } },
sources: true,
characters: true,
briefItems: { orderBy: { sortOrder: 'asc' } },
visualAssets: true,
},
});
if (!project) {
throw new NotFoundException(`Project with ID ${id} not found`);
}
return project;
}
/**
* Update a project
*
* @param id - Project ID
* @param data - Update data
* @returns Updated project
*/
async update(id: string, data: UpdateProjectDto) {
// Verify project exists
await this.findOne(id);
return this.prisma.scriptProject.update({
where: { id },
data,
include: {
segments: { orderBy: { sortOrder: 'asc' } },
sources: true,
characters: true,
briefItems: { orderBy: { sortOrder: 'asc' } },
},
});
}
/**
* Soft delete a project
*
* @param id - Project ID
*/
async remove(id: string) {
await this.findOne(id);
return this.prisma.scriptProject.update({
where: { id },
data: { deletedAt: new Date() },
});
}
/**
* Hard delete a project and all related data
*
* @param id - Project ID
*/
async hardDelete(id: string) {
await this.findOne(id);
return this.prisma.scriptProject.delete({
where: { id },
});
}
/**
* Duplicate a project with all its content
*
* @param id - Project ID to duplicate
* @param userId - New owner user ID
* @returns New duplicated project
*/
async duplicate(id: string, userId?: string) {
const original = await this.findOne(id);
// Create new project with copied data
const newProject = await this.prisma.scriptProject.create({
data: {
userId,
topic: `${original.topic} (Copy)`,
contentType: original.contentType,
targetAudience: original.targetAudience,
speechStyle: original.speechStyle,
targetDuration: original.targetDuration,
userNotes: original.userNotes,
tone: original.tone,
language: original.language,
logline: original.logline,
highConcept: original.highConcept,
includeInterviews: original.includeInterviews,
seoTitle: original.seoTitle,
seoDescription: original.seoDescription,
seoTags: original.seoTags,
thumbnailIdeas: original.thumbnailIdeas,
},
});
// Copy segments
if (original.segments.length > 0) {
await this.prisma.scriptSegment.createMany({
data: original.segments.map((seg) => ({
projectId: newProject.id,
segmentType: seg.segmentType,
timeStart: seg.timeStart,
duration: seg.duration,
visualDescription: seg.visualDescription,
narratorScript: seg.narratorScript,
editorNotes: seg.editorNotes,
generalNotes: seg.generalNotes,
audioCues: seg.audioCues,
onScreenText: seg.onScreenText,
stockQuery: seg.stockQuery,
videoPrompt: seg.videoPrompt,
imagePrompt: seg.imagePrompt,
sortOrder: seg.sortOrder,
})),
});
}
// Copy sources
if (original.sources.length > 0) {
await this.prisma.researchSource.createMany({
data: original.sources.map((src) => ({
projectId: newProject.id,
title: src.title,
url: src.url,
snippet: src.snippet,
type: src.type,
selected: src.selected,
})),
});
}
// Copy characters
if (original.characters.length > 0) {
await this.prisma.characterProfile.createMany({
data: original.characters.map((char) => ({
projectId: newProject.id,
name: char.name,
role: char.role,
values: char.values,
traits: char.traits,
mannerisms: char.mannerisms,
})),
});
}
// Copy brief items
if (original.briefItems.length > 0) {
await this.prisma.briefItem.createMany({
data: original.briefItems.map((item) => ({
projectId: newProject.id,
question: item.question,
answer: item.answer,
sortOrder: item.sortOrder,
})),
});
}
return this.findOne(newProject.id);
}
/**
* Export project to JSON format (for download)
*
* @param id - Project ID
* @returns Project data as JSON-serializable object
*/
async exportToJson(id: string) {
const project = await this.findOne(id);
return {
exportedAt: new Date().toISOString(),
version: '1.0',
project: {
topic: project.topic,
contentType: project.contentType,
targetAudience: project.targetAudience,
speechStyle: project.speechStyle,
targetDuration: project.targetDuration,
userNotes: project.userNotes,
tone: project.tone,
language: project.language,
logline: project.logline,
highConcept: project.highConcept,
includeInterviews: project.includeInterviews,
seo: {
title: project.seoTitle,
description: project.seoDescription,
tags: project.seoTags,
thumbnailIdeas: project.thumbnailIdeas,
},
neuroAnalysis: project.neuroAnalysis,
youtubeAudit: project.youtubeAudit,
postProduction: project.postProduction,
commercialBrief: project.commercialBrief,
creativeBrief: project.briefItems.map((item) => ({
question: item.question,
answer: item.answer,
})),
sources: project.sources.map((src) => ({
title: src.title,
url: src.url,
snippet: src.snippet,
type: src.type,
selected: src.selected,
})),
characters: project.characters.map((char) => ({
name: char.name,
role: char.role,
values: char.values,
traits: char.traits,
mannerisms: char.mannerisms,
})),
script: project.segments.map((seg) => ({
segmentType: seg.segmentType,
timeStart: seg.timeStart,
duration: seg.duration,
visualDescription: seg.visualDescription,
narratorScript: seg.narratorScript,
editorNotes: seg.editorNotes,
generalNotes: seg.generalNotes,
audioCues: seg.audioCues,
onScreenText: seg.onScreenText,
stockQuery: seg.stockQuery,
videoPrompt: seg.videoPrompt,
imagePrompt: seg.imagePrompt,
})),
},
};
}
}
@@ -0,0 +1,392 @@
import { Injectable, Logger, NotFoundException } from '@nestjs/common';
import { PrismaService } from '../../../database/prisma.service';
import { GeminiService } from '../../gemini/gemini.service';
import {
CreateSourceDto,
CreateBriefItemDto,
CreateCharacterDto,
} from '../dto';
import { CharacterRole } from '../types/skriptai.types';
import {
buildDiscoveryQuestionsPrompt,
buildSearchQueryPrompt,
buildSourceSearchPrompt,
buildCharacterGenerationPrompt,
buildLoglinePrompt,
} from '../prompts';
/**
* ResearchService
*
* Service for managing research sources, creative brief, and character profiles.
* Also provides AI-powered research and discovery question generation.
*
* TR: Araştırma kaynakları, yaratıcı brief ve karakter profilleri yönetimi.
* EN: Service for managing research sources, creative brief, and character profiles.
*/
@Injectable()
export class ResearchService {
private readonly logger = new Logger(ResearchService.name);
constructor(
private readonly prisma: PrismaService,
private readonly gemini: GeminiService,
) {}
// ========== SOURCES ==========
/**
* Add a research source
*/
async addSource(data: CreateSourceDto) {
return this.prisma.researchSource.create({ data });
}
/**
* Toggle source selection
*/
async toggleSourceSelection(id: string) {
const source = await this.prisma.researchSource.findUnique({
where: { id },
});
if (!source) {
throw new NotFoundException(`Source with ID ${id} not found`);
}
return this.prisma.researchSource.update({
where: { id },
data: { selected: !source.selected },
});
}
/**
* Delete a source
*/
async deleteSource(id: string) {
return this.prisma.researchSource.delete({ where: { id } });
}
/**
* Perform deep research using AI
*
* @param projectId - Project ID
* @param additionalQuery - Optional additional query to append
* @returns Generated research sources
*/
async performDeepResearch(projectId: string, additionalQuery?: string) {
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
include: { briefItems: true },
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
const briefContext = project.briefItems
.map((b) => `Q: ${b.question} A: ${b.answer}`)
.join('; ');
const topic = additionalQuery
? `${project.topic} ${additionalQuery}`
: project.topic;
// Generate search queries
let searchQueries: string[] = [];
if (!this.gemini.isAvailable()) {
this.logger.warn('Gemini is disabled. Using mock search queries.');
searchQueries = [
`${topic} foundation`,
`${topic} controversy`,
`${topic} future`,
];
} else {
try {
const queryPromptData = buildSearchQueryPrompt({
topic,
briefContext,
language: project.language,
});
const queryResp = await this.gemini.generateJSON<string[]>(
queryPromptData.prompt,
queryPromptData.schema,
{
temperature: queryPromptData.temperature,
tools: [{ googleSearch: {} }],
},
);
searchQueries = queryResp.data;
} catch {
searchQueries = [`${topic} details`, `${topic} news`];
}
}
// Generate sources for each query
const allSources: any[] = [];
const processedUrls = new Set<string>();
for (const query of searchQueries.slice(0, 5)) {
try {
if (!this.gemini.isAvailable()) {
allSources.push({
projectId,
title: `Mock Source: ${query}`,
url: `https://example.com/mock/${query.replace(/\s+/g, '-')}`,
snippet: `This is a simulated research result for "${query}" because AI is disabled. Enable Gemini in .env for real results.`,
type: 'article',
selected: true,
isNew: true,
});
continue;
}
const sourcePromptData = buildSourceSearchPrompt({
query,
language: project.language,
});
const sourceResp = await this.gemini.generateJSON<
{ title: string; url: string; snippet: string; type: string }[]
>(sourcePromptData.prompt, sourcePromptData.schema, {
temperature: sourcePromptData.temperature,
tools: [{ googleSearch: {} }],
});
for (const item of sourceResp.data) {
if (item.url && !processedUrls.has(item.url)) {
processedUrls.add(item.url);
allSources.push({
projectId,
title: item.title,
url: item.url,
snippet: item.snippet,
type: item.type || 'article',
selected: true,
isNew: true,
});
}
}
} catch {
this.logger.warn(`Failed to get sources for query: ${query}`);
}
}
// Save sources to database
if (allSources.length > 0) {
await this.prisma.researchSource.createMany({
data: allSources,
skipDuplicates: true,
});
}
return this.prisma.researchSource.findMany({
where: { projectId },
orderBy: { createdAt: 'desc' },
});
}
// ========== BRIEF ITEMS ==========
/**
* Add a brief item (Q&A)
*/
async addBriefItem(data: CreateBriefItemDto) {
const lastItem = await this.prisma.briefItem.findFirst({
where: { projectId: data.projectId },
orderBy: { sortOrder: 'desc' },
});
return this.prisma.briefItem.create({
data: {
...data,
sortOrder: data.sortOrder ?? (lastItem?.sortOrder ?? 0) + 1,
},
});
}
/**
* Update a brief item
*/
async updateBriefItem(id: string, answer: string) {
return this.prisma.briefItem.update({
where: { id },
data: { answer },
});
}
/**
* Delete a brief item
*/
async deleteBriefItem(id: string) {
return this.prisma.briefItem.delete({ where: { id } });
}
/**
* Generate discovery questions using AI
*
* @param topic - Topic to generate questions for
* @param language - Language for questions
* @param existingQuestions - Questions to avoid
* @returns Generated questions
*/
async generateDiscoveryQuestions(
topic: string,
language: string,
existingQuestions: string[] = [],
) {
// Check if Gemini is available
if (!this.gemini.isAvailable()) {
this.logger.warn(
'Gemini is disabled. Returning mock discovery questions.',
);
return [
`What is the unique angle or "Simpsons Moment" that makes ${topic} surprising?`,
`Who is the "Unseen Character" in this story about ${topic}?`,
`If ${topic} was a crime scene, what is the smoking gun?`,
`What is the one thing everyone gets wrong about ${topic}?`,
];
}
const promptData = buildDiscoveryQuestionsPrompt({
topic,
language,
existingQuestions,
});
const resp = await this.gemini.generateJSON<{ questions: string[] }>(
promptData.prompt,
promptData.schema,
{ temperature: promptData.temperature },
);
return resp.data.questions;
}
// ========== CHARACTERS ==========
/**
* Add a character profile
*/
async addCharacter(data: CreateCharacterDto) {
return this.prisma.characterProfile.create({ data });
}
/**
* Update a character
*/
async updateCharacter(
id: string,
data: Partial<Omit<CreateCharacterDto, 'projectId'>>,
) {
return this.prisma.characterProfile.update({
where: { id },
data,
});
}
/**
* Delete a character
*/
async deleteCharacter(id: string) {
return this.prisma.characterProfile.delete({ where: { id } });
}
/**
* Auto-generate character profiles using AI
*
* @param projectId - Project ID
* @returns Generated characters
*/
async generateCharacters(projectId: string) {
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
const promptData = buildCharacterGenerationPrompt({
contentType: project.contentType,
topic: project.topic,
language: project.language,
});
const resp = await this.gemini.generateJSON<
{
name: string;
role: CharacterRole;
values: string;
traits: string;
mannerisms: string;
}[]
>(promptData.prompt, promptData.schema, {
temperature: promptData.temperature,
});
// Save characters to database
const characters = await Promise.all(
resp.data.map((char) =>
this.prisma.characterProfile.create({
data: {
projectId,
name: char.name,
role: char.role,
values: char.values,
traits: char.traits,
mannerisms: char.mannerisms,
},
}),
),
);
return characters;
}
// ========== LOGLINE ==========
/**
* Generate logline and high concept
*
* @param projectId - Project ID
* @returns Logline and high concept
*/
async generateLogline(projectId: string) {
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
include: { sources: { where: { selected: true }, take: 5 } },
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
const sourceContext = project.sources.map((s) => s.snippet).join('\n');
const promptData = buildLoglinePrompt({
topic: project.topic,
sourceContext,
language: project.language,
});
const resp = await this.gemini.generateJSON<{
logline: string;
highConcept: string;
}>(promptData.prompt, promptData.schema, {
temperature: promptData.temperature,
});
// Update project
await this.prisma.scriptProject.update({
where: { id: projectId },
data: {
logline: resp.data.logline,
highConcept: resp.data.highConcept,
},
});
return resp.data;
}
}
@@ -0,0 +1,482 @@
import { Injectable, Logger, NotFoundException } from '@nestjs/common';
import { PrismaService } from '../../../database/prisma.service';
import { GeminiService } from '../../gemini/gemini.service';
import { CreateSegmentDto, UpdateSegmentDto } from '../dto';
import { AnalysisService } from './analysis.service';
import { VersionsService } from './versions.service';
import {
buildScriptOutlinePrompt,
buildChapterSegmentPrompt,
buildSegmentRewritePrompt,
buildSegmentImagePrompt,
calculateTargetWordCount,
calculateEstimatedChapters,
} from '../prompts';
/**
* ScriptsService
*
* Service for managing script segments and AI-powered script generation.
*
* TR: Script segmentlerini yönetmek ve AI destekli script oluşturmak için servis.
* EN: Service for managing script segments and AI-powered script generation.
*/
@Injectable()
export class ScriptsService {
private readonly logger = new Logger(ScriptsService.name);
constructor(
private readonly prisma: PrismaService,
private readonly gemini: GeminiService,
private readonly analysisService: AnalysisService,
private readonly versionsService: VersionsService,
) {}
/**
* Create a new segment
*/
async createSegment(data: CreateSegmentDto) {
// Get highest sortOrder for this project
const lastSegment = await this.prisma.scriptSegment.findFirst({
where: { projectId: data.projectId },
orderBy: { sortOrder: 'desc' },
});
const sortOrder = data.sortOrder ?? (lastSegment?.sortOrder ?? 0) + 1;
return this.prisma.scriptSegment.create({
data: {
...data,
sortOrder,
citationIndexes: [],
},
});
}
/**
* Update a segment
*/
async updateSegment(id: string, data: UpdateSegmentDto) {
const segment = await this.prisma.scriptSegment.findUnique({
where: { id },
});
if (!segment) {
throw new NotFoundException(`Segment with ID ${id} not found`);
}
return this.prisma.scriptSegment.update({
where: { id },
data,
});
}
/**
* Delete a segment
*/
async deleteSegment(id: string) {
const segment = await this.prisma.scriptSegment.findUnique({
where: { id },
});
if (!segment) {
throw new NotFoundException(`Segment with ID ${id} not found`);
}
return this.prisma.scriptSegment.delete({ where: { id } });
}
/**
* Reorder segments
*
* @param projectId - Project ID
* @param segmentIds - Array of segment IDs in new order
*/
async reorderSegments(projectId: string, segmentIds: string[]) {
const updates = segmentIds.map((id, index) =>
this.prisma.scriptSegment.update({
where: { id },
data: { sortOrder: index },
}),
);
await this.prisma.$transaction(updates);
return this.prisma.scriptSegment.findMany({
where: { projectId },
orderBy: { sortOrder: 'asc' },
});
}
/**
* Generate a full script for a project
*
* @param projectId - Project ID
* @returns Generated segments
*/
async generateScript(projectId: string) {
this.logger.log(`Generating script for project: ${projectId}`);
// Auto-snapshot current state before regeneration
await this.versionsService.createSnapshot(
projectId,
'AUTO_SAVE',
undefined,
'Auto-save before script generation',
).catch(() => { /* ignore if no segments yet */ });
// Update status
await this.prisma.scriptProject.update({
where: { id: projectId },
data: { status: 'SCRIPTING' },
});
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
include: {
sources: { where: { selected: true } },
briefItems: { orderBy: { sortOrder: 'asc' } },
characters: true,
},
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
// Build context from project data
const sourceContext = project.sources
.slice(0, 5)
.map((s, i) => `[Source ${i + 1}] (${s.type}): ${s.title} - ${s.snippet}`)
.join('\n');
const briefContext = project.briefItems
.map((b) => `Q: ${b.question}\nA: ${b.answer}`)
.join('\n');
const characterContext = project.characters
.map(
(c) =>
`${c.name} (${c.role}): Values[${c.values}] Traits[${c.traits}] Mannerisms[${c.mannerisms}]`,
)
.join('\n');
// Calculate target metrics
const targetWordCount = calculateTargetWordCount(project.targetDuration);
const estimatedChapters = calculateEstimatedChapters(targetWordCount);
// PHASE 1: Generate Outline using prompt builder
const outlinePromptData = buildScriptOutlinePrompt({
topic: project.topic,
logline: project.logline || '',
characterContext,
speechStyles: project.speechStyle,
targetAudience: project.targetAudience,
contentType: project.contentType,
targetDuration: project.targetDuration,
targetWordCount,
estimatedChapters,
sourceContext,
briefContext,
});
const outlineResp = await this.gemini.generateJSON<{
title: string;
seoDescription: string;
tags: string[];
thumbnailIdeas: string[];
chapters: { title: string; focus: string; type: string }[];
}>(outlinePromptData.prompt, outlinePromptData.schema, {
temperature: outlinePromptData.temperature,
});
const outlineData = outlineResp.data;
// Update project with SEO data
await this.prisma.scriptProject.update({
where: { id: projectId },
data: {
seoTitle: outlineData.title,
seoDescription: outlineData.seoDescription,
seoTags: outlineData.tags,
thumbnailIdeas: outlineData.thumbnailIdeas,
},
});
// PHASE 2: Generate each chapter using prompt builder
const generatedSegments: any[] = [];
let timeOffset = 0;
for (let i = 0; i < outlineData.chapters.length; i++) {
const chapter = outlineData.chapters[i];
const chapterPromptData = buildChapterSegmentPrompt({
chapterIndex: i,
totalChapters: outlineData.chapters.length,
chapterTitle: chapter.title,
chapterFocus: chapter.focus,
chapterType: chapter.type,
speechStyles: project.speechStyle,
targetAudience: project.targetAudience,
characterContext,
language: project.language,
});
try {
const segmentResp = await this.gemini.generateJSON<any[]>(
chapterPromptData.prompt,
chapterPromptData.schema,
{ temperature: chapterPromptData.temperature },
);
for (const seg of segmentResp.data) {
const words = seg.narratorScript
? seg.narratorScript.split(' ').length
: 0;
const dur = Math.max(5, Math.ceil(words / (140 / 60)));
const start = this.formatTime(timeOffset);
timeOffset += dur;
generatedSegments.push({
projectId,
segmentType: seg.segmentType || 'Body',
timeStart: start,
duration: `${dur}s`,
narratorScript: seg.narratorScript || '',
visualDescription: seg.visualDescription || 'Background',
videoPrompt:
seg.videoPrompt || `Cinematic shot of ${seg.stockQuery}`,
imagePrompt:
seg.imagePrompt || `High quality image of ${seg.stockQuery}`,
onScreenText: seg.onScreenText || '',
editorNotes: '',
generalNotes: '',
audioCues: seg.audioCues || '',
stockQuery: seg.stockQuery || 'background',
sortOrder: generatedSegments.length,
citationIndexes: [],
});
}
} catch (error) {
this.logger.warn(`Failed to generate chapter ${i + 1}: ${error}`);
}
}
// Clear existing segments and insert new ones
await this.prisma.scriptSegment.deleteMany({ where: { projectId } });
if (generatedSegments.length > 0) {
await this.prisma.scriptSegment.createMany({
data: generatedSegments,
});
}
return this.prisma.scriptSegment.findMany({
where: { projectId },
orderBy: { sortOrder: 'asc' },
});
}
/**
* Rewrite a segment with a new style
*
* @param segmentId - Segment ID
* @param newStyle - New speech style
* @returns Updated segment
*/
async rewriteSegment(
segmentId: string,
newStyle: string, // SpeechStyle or 'Make it Longer' | 'Make it Shorter'
) {
const segment = await this.prisma.scriptSegment.findUnique({
where: { id: segmentId },
include: { project: true },
});
if (!segment) {
throw new NotFoundException(`Segment with ID ${segmentId} not found`);
}
const promptData = buildSegmentRewritePrompt({
currentScript: segment.narratorScript || '',
newStyle,
topic: segment.project.topic,
language: segment.project.language,
});
const rewriteResp = await this.gemini.generateJSON<{
narratorScript: string;
visualDescription: string;
onScreenText: string;
audioCues: string;
}>(promptData.prompt, promptData.schema, {
temperature: promptData.temperature,
});
const data = rewriteResp.data;
const words = data.narratorScript
? data.narratorScript.split(' ').length
: 0;
const dur = Math.max(5, Math.ceil(words / (140 / 60)));
return this.prisma.scriptSegment.update({
where: { id: segmentId },
data: {
narratorScript: data.narratorScript,
visualDescription: data.visualDescription,
onScreenText: data.onScreenText,
audioCues: data.audioCues,
duration: `${dur}s`,
},
});
}
/**
* Format seconds to MM:SS
*/
private formatTime(seconds: number): string {
const m = Math.floor(seconds / 60);
const s = seconds % 60;
return `${m.toString().padStart(2, '0')}:${s.toString().padStart(2, '0')}`;
}
/**
* Generate an image for a specific segment
*/
async generateSegmentImage(segmentId: string) {
const segment = await this.prisma.scriptSegment.findUnique({
where: { id: segmentId },
include: { project: true },
});
if (!segment) {
throw new NotFoundException(`Segment with ID ${segmentId} not found`);
}
// 1. Generate/Refine Image Prompt using LLM
const promptData = buildSegmentImagePrompt({
topic: segment.project.topic,
narratorScript: segment.narratorScript || '',
visualDescription: segment.visualDescription || '',
});
const prompts = await this.gemini.generateJSON<{
imagePrompt: string;
videoPrompt: string;
}>(promptData.prompt, promptData.schema, {
temperature: promptData.temperature,
});
// 2. Use the new image prompt for generation
const imageUrl = await this.analysisService.generateThumbnailImage(
prompts.data.imagePrompt,
);
// 3. Update segment with new prompts AND generated image URL
return this.prisma.scriptSegment.update({
where: { id: segmentId },
data: {
imagePrompt: prompts.data.imagePrompt,
videoPrompt: prompts.data.videoPrompt,
generatedImageUrl: imageUrl,
},
});
}
// ========== REGENERATE (Tek segment / Partial) ==========
/**
* Regenerate a single segment with AI.
* Auto-snapshots current state before regeneration.
*
* @param segmentId - Segment ID to regenerate
* @returns Updated segment
*/
async regenerateSegment(segmentId: string) {
const segment = await this.prisma.scriptSegment.findUnique({
where: { id: segmentId },
include: { project: { include: { characters: true } } },
});
if (!segment) {
throw new NotFoundException(`Segment with ID ${segmentId} not found`);
}
// Auto-snapshot before regeneration
await this.versionsService.createSnapshot(
segment.projectId,
'AUTO_SAVE',
undefined,
`Auto-save before regenerating segment #${segment.sortOrder + 1}`,
).catch(() => {});
const characterContext = segment.project.characters
.map((c) => `${c.name} (${c.role}): Values[${c.values}] Traits[${c.traits}]`)
.join('\n');
const chapterPromptData = buildChapterSegmentPrompt({
chapterIndex: segment.sortOrder,
totalChapters: 1,
chapterTitle: segment.segmentType,
chapterFocus: segment.visualDescription || segment.segmentType,
chapterType: segment.segmentType,
speechStyles: segment.project.speechStyle,
targetAudience: segment.project.targetAudience,
characterContext,
language: segment.project.language,
});
const resp = await this.gemini.generateJSON<any[]>(
chapterPromptData.prompt,
chapterPromptData.schema,
{ temperature: chapterPromptData.temperature },
);
const newSeg = resp.data[0];
if (!newSeg) return segment;
const words = newSeg.narratorScript ? newSeg.narratorScript.split(' ').length : 0;
const dur = Math.max(5, Math.ceil(words / (140 / 60)));
return this.prisma.scriptSegment.update({
where: { id: segmentId },
data: {
narratorScript: newSeg.narratorScript,
visualDescription: newSeg.visualDescription,
videoPrompt: newSeg.videoPrompt,
imagePrompt: newSeg.imagePrompt,
onScreenText: newSeg.onScreenText,
audioCues: newSeg.audioCues,
stockQuery: newSeg.stockQuery,
duration: `${dur}s`,
},
});
}
/**
* Regenerate multiple selected segments.
*
* @param projectId - Project ID
* @param segmentIds - Array of segment IDs to regenerate
* @returns Updated segments
*/
async regeneratePartial(projectId: string, segmentIds: string[]) {
// Auto-snapshot
await this.versionsService.createSnapshot(
projectId,
'AUTO_SAVE',
undefined,
`Auto-save before partial regeneration (${segmentIds.length} segments)`,
).catch(() => {});
const results: any[] = [];
for (const segId of segmentIds) {
try {
const result = await this.regenerateSegment(segId);
results.push(result);
} catch (error) {
this.logger.warn(`Failed to regenerate segment ${segId}: ${error}`);
}
}
return results;
}
}
@@ -0,0 +1,382 @@
import { Injectable, Logger, NotFoundException } from '@nestjs/common';
import { PrismaService } from '../../../database/prisma.service';
/**
* VersionsService
*
* Manages script version history — automatic snapshots, manual saves,
* version restoration, and diff comparison.
*
* TR: Script versiyon geçmişi yönetimi — otomatik snapshot, manuel kayıt,
* versiyona geri dönüş ve karşılaştırma.
*/
@Injectable()
export class VersionsService {
private readonly logger = new Logger(VersionsService.name);
/** Maximum number of versions to keep per project */
private readonly MAX_VERSIONS = 20;
constructor(private readonly prisma: PrismaService) {}
// ========== VERSION LISTING ==========
/**
* List all versions for a project
*/
async listVersions(projectId: string) {
await this.ensureProjectExists(projectId);
return this.prisma.scriptVersion.findMany({
where: { projectId },
orderBy: { versionNumber: 'desc' },
select: {
id: true,
versionNumber: true,
label: true,
generatedBy: true,
segmentCount: true,
totalWords: true,
changeNote: true,
createdAt: true,
},
});
}
/**
* Get a specific version with full snapshot data
*/
async getVersion(projectId: string, versionId: string) {
const version = await this.prisma.scriptVersion.findFirst({
where: { id: versionId, projectId },
});
if (!version) {
throw new NotFoundException(
`Version ${versionId} not found for project ${projectId}`,
);
}
return version;
}
// ========== VERSION CREATION ==========
/**
* Create a snapshot of the current script state.
* Called automatically before AI generation or manually by user.
*
* @param projectId - Project ID
* @param generatedBy - Who created this version: 'AI' | 'USER' | 'AUTO_SAVE'
* @param label - Optional label for the version
* @param changeNote - Optional note about what changed
* @returns Created version
*/
async createSnapshot(
projectId: string,
generatedBy: string = 'AUTO_SAVE',
label?: string,
changeNote?: string,
) {
const project = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
include: {
segments: { orderBy: { sortOrder: 'asc' } },
},
});
if (!project) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
// Don't create empty snapshots
if (!project.segments || project.segments.length === 0) {
this.logger.warn(
`No segments to snapshot for project ${projectId}. Skipping.`,
);
return null;
}
// Calculate next version number
const nextVersion = project.currentVersionNumber + 1;
// Build snapshot data (strip relation fields, keep only data)
const snapshotData = project.segments.map((seg) => ({
segmentType: seg.segmentType,
timeStart: seg.timeStart,
duration: seg.duration,
narratorScript: seg.narratorScript,
visualDescription: seg.visualDescription,
videoPrompt: seg.videoPrompt,
imagePrompt: seg.imagePrompt,
onScreenText: seg.onScreenText,
editorNotes: seg.editorNotes,
generalNotes: seg.generalNotes,
audioCues: seg.audioCues,
stockQuery: seg.stockQuery,
generatedImageUrl: seg.generatedImageUrl,
sortOrder: seg.sortOrder,
citationIndexes: seg.citationIndexes,
}));
// Build SEO snapshot
const seoSnapshot = {
seoTitle: project.seoTitle,
seoDescription: project.seoDescription,
seoTags: project.seoTags,
thumbnailIdeas: project.thumbnailIdeas,
};
// Calculate total words
const totalWords = project.segments.reduce((acc, seg) => {
return acc + (seg.narratorScript?.split(' ').length || 0);
}, 0);
// Create version
const version = await this.prisma.scriptVersion.create({
data: {
projectId,
versionNumber: nextVersion,
label:
label ||
`v${nextVersion}${generatedBy === 'AI' ? 'AI Generated' : generatedBy === 'USER' ? 'Manual Save' : 'Auto Save'}`,
generatedBy,
snapshotData: snapshotData as any,
seoSnapshot: seoSnapshot as any,
segmentCount: project.segments.length,
totalWords,
changeNote,
},
});
// Update project's current version number
await this.prisma.scriptProject.update({
where: { id: projectId },
data: { currentVersionNumber: nextVersion },
});
// Cleanup old versions (keep only MAX_VERSIONS)
await this.cleanupOldVersions(projectId);
this.logger.log(
`Created version v${nextVersion} for project ${projectId} (${generatedBy})`,
);
return version;
}
// ========== VERSION RESTORE ==========
/**
* Restore a project to a specific version.
* Creates a snapshot of current state before restoring.
*
* @param projectId - Project ID
* @param versionId - Version ID to restore to
* @returns Restored segments
*/
async restoreVersion(projectId: string, versionId: string) {
const version = await this.getVersion(projectId, versionId);
// First, snapshot current state before restoring
await this.createSnapshot(
projectId,
'AUTO_SAVE',
undefined,
`Auto-save before restoring to v${version.versionNumber}`,
);
// Parse snapshot data
const segments = version.snapshotData as any[];
if (!segments || segments.length === 0) {
throw new Error('Version snapshot has no segment data');
}
// Delete current segments
await this.prisma.scriptSegment.deleteMany({ where: { projectId } });
// Restore segments from snapshot
await this.prisma.scriptSegment.createMany({
data: segments.map((seg) => ({
projectId,
segmentType: seg.segmentType || 'Body',
timeStart: seg.timeStart || '00:00',
duration: seg.duration || '0s',
narratorScript: seg.narratorScript,
visualDescription: seg.visualDescription,
videoPrompt: seg.videoPrompt,
imagePrompt: seg.imagePrompt,
onScreenText: seg.onScreenText,
editorNotes: seg.editorNotes,
generalNotes: seg.generalNotes,
audioCues: seg.audioCues,
stockQuery: seg.stockQuery,
generatedImageUrl: seg.generatedImageUrl,
sortOrder: seg.sortOrder ?? 0,
citationIndexes: seg.citationIndexes || [],
})),
});
// Restore SEO data if present
const seoData = version.seoSnapshot as any;
if (seoData) {
await this.prisma.scriptProject.update({
where: { id: projectId },
data: {
seoTitle: seoData.seoTitle,
seoDescription: seoData.seoDescription,
seoTags: seoData.seoTags || [],
thumbnailIdeas: seoData.thumbnailIdeas || [],
},
});
}
this.logger.log(
`Restored project ${projectId} to version v${version.versionNumber}`,
);
// Return the restored project data
return this.prisma.scriptProject.findUnique({
where: { id: projectId },
include: {
segments: { orderBy: { sortOrder: 'asc' } },
},
});
}
// ========== VERSION DELETION ==========
/**
* Delete a specific version
*/
async deleteVersion(projectId: string, versionId: string) {
const version = await this.getVersion(projectId, versionId);
await this.prisma.scriptVersion.delete({
where: { id: version.id },
});
return { deleted: true, versionNumber: version.versionNumber };
}
// ========== VERSION COMPARISON ==========
/**
* Compare two versions and return differences
*/
async compareVersions(
projectId: string,
versionAId: string,
versionBId: string,
) {
const [versionA, versionB] = await Promise.all([
this.getVersion(projectId, versionAId),
this.getVersion(projectId, versionBId),
]);
const segmentsA = (versionA.snapshotData as any[]) || [];
const segmentsB = (versionB.snapshotData as any[]) || [];
const maxLen = Math.max(segmentsA.length, segmentsB.length);
const diffs: any[] = [];
for (let i = 0; i < maxLen; i++) {
const segA = segmentsA[i] || null;
const segB = segmentsB[i] || null;
if (!segA && segB) {
diffs.push({
index: i,
type: 'added',
segmentType: segB.segmentType,
narratorScript: { before: null, after: segB.narratorScript },
});
} else if (segA && !segB) {
diffs.push({
index: i,
type: 'removed',
segmentType: segA.segmentType,
narratorScript: { before: segA.narratorScript, after: null },
});
} else if (segA && segB) {
const changed =
segA.narratorScript !== segB.narratorScript ||
segA.visualDescription !== segB.visualDescription ||
segA.onScreenText !== segB.onScreenText;
if (changed) {
diffs.push({
index: i,
type: 'modified',
segmentType: segB.segmentType,
narratorScript: {
before: segA.narratorScript,
after: segB.narratorScript,
},
visualDescription: {
before: segA.visualDescription,
after: segB.visualDescription,
},
});
}
}
}
return {
versionA: {
id: versionA.id,
versionNumber: versionA.versionNumber,
label: versionA.label,
createdAt: versionA.createdAt,
},
versionB: {
id: versionB.id,
versionNumber: versionB.versionNumber,
label: versionB.label,
createdAt: versionB.createdAt,
},
totalDiffs: diffs.length,
diffs,
};
}
// ========== HELPERS ==========
/**
* Verify project exists or throw
*/
private async ensureProjectExists(projectId: string) {
const exists = await this.prisma.scriptProject.findUnique({
where: { id: projectId },
select: { id: true },
});
if (!exists) {
throw new NotFoundException(`Project with ID ${projectId} not found`);
}
}
/**
* Remove old versions beyond the max limit per project
*/
private async cleanupOldVersions(projectId: string) {
const versions = await this.prisma.scriptVersion.findMany({
where: { projectId },
orderBy: { versionNumber: 'desc' },
select: { id: true, versionNumber: true },
});
if (versions.length > this.MAX_VERSIONS) {
const toDelete = versions.slice(this.MAX_VERSIONS);
await this.prisma.scriptVersion.deleteMany({
where: {
id: { in: toDelete.map((v) => v.id) },
},
});
this.logger.log(
`Cleaned up ${toDelete.length} old versions for project ${projectId}`,
);
}
}
}
+64
View File
@@ -0,0 +1,64 @@
import { Module } from '@nestjs/common';
import { DatabaseModule } from '../../database/database.module';
import { GeminiModule } from '../gemini/gemini.module';
// Controllers
import {
ProjectsController,
ScriptsController,
ResearchController,
AnalysisController,
VersionsController,
} from './controllers';
// Services
import {
ProjectsService,
ScriptsService,
ResearchService,
AnalysisService,
VersionsService,
} from './services';
/**
* SkriptAI Module
*
* Main module for the SkriptAI feature - AI-powered video script generation.
*
* Features:
* - Project management (CRUD, duplicate, export)
* - Script generation and editing
* - Deep research with AI
* - Neuro Marketing analysis
* - YouTube audit
* - Commercial brief generation
* - Version history & content management
*
* TR: SkriptAI ana modülü - AI destekli video script üretimi.
* EN: Main module for the SkriptAI feature - AI-powered video script generation.
*/
@Module({
imports: [DatabaseModule, GeminiModule],
controllers: [
ProjectsController,
ScriptsController,
ResearchController,
AnalysisController,
VersionsController,
],
providers: [
ProjectsService,
ScriptsService,
ResearchService,
AnalysisService,
VersionsService,
],
exports: [
ProjectsService,
ScriptsService,
ResearchService,
AnalysisService,
VersionsService,
],
})
export class SkriptaiModule {}
@@ -0,0 +1,157 @@
/**
* SkriptAI Types
*
* Type definitions for the SkriptAI module.
* These mirror the original TypeScript types from the legacy app.
*
* TR: SkriptAI modülü için tip tanımlamaları.
* EN: Type definitions for the SkriptAI module.
*/
// Content type definitions
export type ContentFormat =
| 'YouTube Documentary'
| 'YouTube Long Form (Edu/Video Essay)'
| 'YouTube Short / TikTok'
| 'Kids Cartoon (Script & Dialogue)'
| 'Preschool Learning (Slow Paced)'
| 'True Crime Story'
| 'Product Showcase / Ad'
| 'Corporate Presentation'
| 'Newsletter / Blog Post'
| 'News Bulletin / Journalism';
export type TargetAudience =
| 'Preschool (0-5 Years)'
| 'Kids (6-12 Years)'
| 'Teenagers (13-17 Years)'
| 'Young Adults (18-24 Years)'
| 'Adults (25-45 Years)'
| 'Seniors (60+ Years)'
| 'Professionals / B2B'
| 'Mature (18+) / Uncensored'
| 'General Audience';
export type SpeechStyle =
| 'Standard / Balanced'
| 'Casual / Conversational'
| 'Street / Slang (Argo)'
| 'Formal / Corporate'
| 'Poetic / Artistic'
| 'Humorous / Witty'
| 'Dramatic / Intense'
| 'Tech-Savvy / Jargon'
| 'Storyteller / Narrator'
| 'Fairy Tale / Masal'
| 'Didactic / Educational'
| 'Dark / Noir / Mystery'
| 'Satirical / Sarcastic'
| 'Motivational / High Energy';
export type SegmentType =
| 'Hook'
| 'Intro'
| 'Body'
| 'Ad/Sponsor'
| 'CTA'
| 'Outro'
| 'Scene'
| 'Dialogue'
| 'Section'
| 'Headline';
export type SourceType =
| 'article'
| 'video'
| 'interview'
| 'academic'
| 'book'
| 'document';
export type CharacterRole =
| 'Protagonist'
| 'Antagonist'
| 'Guide/Mentor'
| 'Sidekick'
| 'Narrator';
// Neuro Marketing Analysis Result
export interface NeuroAnalysisResult {
engagementScore: number;
dopamineScore: number;
clarityScore: number;
persuasionMetrics: {
reciprocity: number;
scarcity: number;
authority: number;
consistency: number;
liking: number;
socialProof: number;
};
neuroMetrics: {
attentionHooks: string[];
emotionalTriggers: string[];
memoryAnchors: string[];
actionDrivers: string[];
};
suggestions: string[];
}
// YouTube Audit Result
export interface RetentionPoint {
time: string;
issue: string;
suggestion: string;
severity: 'High' | 'Medium' | 'Low';
}
export interface ThumbnailConcept {
conceptName: string;
visualDescription: string;
textOverlay: string;
colorPsychology: string;
emotionTarget: string;
aiPrompt?: string;
}
export interface YoutubeAudit {
hookScore: number;
pacingScore: number;
viralPotential: number;
retentionAnalysis: RetentionPoint[];
thumbnails: ThumbnailConcept[];
titles: string[];
communityPost: string;
pinnedComment: string;
description?: string;
keywords?: string[];
}
// Post Production Brief
export interface PostProductionBrief {
overview: string;
pacing: string;
colorGrade: string;
musicStyle: string;
timeline: { time: string; action: string; asset: string }[];
}
// Commercial Brief
export interface Sponsor {
name: string;
industry: string;
matchReason: string;
emailDraft: string;
}
export interface CommercialBrief {
viabilityScore: string;
viabilityReason: string;
sponsors: Sponsor[];
}
// AI Config
export const AI_CONFIG = {
PRIMARY: 'gemini-2.5-flash',
FAST: 'gemini-2.0-flash',
} as const;
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NEXTAUTH_URL=http://skript.bilgich.com
NEXTAUTH_SECRET=skriptai_prod_secret_998877665544332211
NEXT_PUBLIC_API_URL=/api
NEXT_PUBLIC_AUTH_REQUIRED=false
NEXT_PUBLIC_GOOGLE_API_KEY=AIzaSyBnrLw5W4NidP4w-70x59fcPolz0izMVfU
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@@ -22,4 +22,4 @@
"strictBindCallApply": false, "strictBindCallApply": false,
"noFallthroughCasesInSwitch": false "noFallthroughCasesInSwitch": false
} }
} }