2 Commits

Author SHA1 Message Date
Desktop
67283ad3e7 docs: Add Phase 0 implementation to CHANGELOG 2025-11-16 23:28:40 +05:00
Desktop
72a31b2edb Phase 0: Foundation & Credit System - Initial implementation
- Updated CREDIT_COSTS constants to Phase 0 format with new operations
- Enhanced CreditService with get_credit_cost() method and operation_type support
- Created AccountModuleSettings model for module enable/disable functionality
- Added AccountModuleSettingsSerializer and ViewSet
- Registered module settings API endpoint: /api/v1/system/settings/account-modules/
- Maintained backward compatibility with existing credit system
2025-11-16 23:24:44 +05:00
1084 changed files with 48166 additions and 165986 deletions

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dist/
*.egg
# Celery scheduler database (binary file, regenerated by celery beat)
celerybeat-schedule
**/celerybeat-schedule
backend/celerybeat-schedule
# Environment variables
.env
.env.local

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# IGNY8 AI Agent Rules
**Version:** 1.2.0 | **Updated:** January 2, 2026
---
## 🚀 Quick Start for AI Agents
**BEFORE any change, read these docs in order:**
1. [docs/INDEX.md](docs/INDEX.md) - Quick navigation to any module/feature
2. [docs/30-FRONTEND/COMPONENT-SYSTEM.md](docs/30-FRONTEND/COMPONENT-SYSTEM.md) - **REQUIRED** for any frontend work
3. [docs/30-FRONTEND/DESIGN-TOKENS.md](docs/30-FRONTEND/DESIGN-TOKENS.md) - Color tokens and styling rules
4. Module doc for the feature you're modifying (see INDEX.md for paths)
5. [CHANGELOG.md](CHANGELOG.md) - Recent changes and version history
---
## 📁 Project Structure
| Layer | Path | Purpose |
|-------|------|---------|
| Backend | `backend/igny8_core/` | Django REST API |
| Frontend | `frontend/src/` | React + TypeScript SPA |
| Docs | `docs/` | Technical documentation |
| AI Engine | `backend/igny8_core/ai/` | AI functions (use this, NOT `utils/ai_processor.py`) |
| Design Tokens | `frontend/src/styles/design-system.css` | **Single source** for colors, shadows, typography |
| UI Components | `frontend/src/components/ui/` | Button, Badge, Card, Modal, etc. |
| Form Components | `frontend/src/components/form/` | InputField, Select, Checkbox, Switch |
| Icons | `frontend/src/icons/` | All SVG icons (import from `../../icons`) |
**Module → File Quick Reference:** See [docs/INDEX.md](docs/INDEX.md#module--file-quick-reference)
---
## ⚠️ Module Status
| Module | Status | Notes |
|--------|--------|-------|
| Planner | ✅ Active | Keywords, Clusters, Ideas |
| Writer | ✅ Active | Tasks, Content, Images |
| Automation | ✅ Active | 7-stage pipeline |
| Billing | ✅ Active | Credits, Plans |
| Publisher | ✅ Active | WordPress publishing |
| **Linker** | ⏸️ Inactive | Exists but disabled - Phase 2 |
| **Optimizer** | ⏸️ Inactive | Exists but disabled - Phase 2 |
| **SiteBuilder** | ❌ Removed | Code exists but NOT part of app - mark for removal in TODOS.md |
**Important:**
- Do NOT work on Linker/Optimizer unless specifically requested
- SiteBuilder code is deprecated - if found, add to `TODOS.md` for cleanup
---
## 🎨 DESIGN SYSTEM RULES (CRITICAL!)
> **🔒 STYLE LOCKED** - All UI must use the design system. ESLint enforces these rules.
### Color System (Only 6 Base Colors!)
All colors in the system derive from 6 primary hex values in `design-system.css`:
- `--color-primary` (#0077B6) - Brand Blue
- `--color-success` (#2CA18E) - Success Green
- `--color-warning` (#D9A12C) - Warning Amber
- `--color-danger` (#A12C40) - Danger Red
- `--color-purple` (#2C40A1) - Purple accent
- `--color-gray-base` (#667085) - Neutral gray
### Tailwind Color Classes
**✅ USE ONLY THESE** (Tailwind defaults are DISABLED):
```
brand-* (50-950) - Primary blue scale
gray-* (25-950) - Neutral scale
success-* (25-950) - Green scale
error-* (25-950) - Red scale
warning-* (25-950) - Amber scale
purple-* (25-950) - Purple scale
```
**❌ BANNED** (These will NOT work):
```
blue-*, red-*, green-*, emerald-*, amber-*, indigo-*,
pink-*, rose-*, sky-*, teal-*, cyan-*, etc.
```
### Styling Rules
| ✅ DO | ❌ DON'T |
|-------|---------|
| `className="bg-brand-500"` | `className="bg-blue-500"` |
| `className="text-gray-700"` | `className="text-[#333]"` |
| `<Button variant="primary">` | `<button className="...">` |
| Import from `../../icons` | Import from `@heroicons/*` |
| Use CSS variables `var(--color-primary)` | Hardcode hex values |
---
## 🧩 COMPONENT RULES (ESLint Enforced!)
> **Never use raw HTML elements** - Use design system components.
### Required Component Mappings
| HTML Element | Required Component | Import Path |
|--------------|-------------------|-------------|
| `<button>` | `Button` or `IconButton` | `components/ui/button/Button` |
| `<input type="text/email/password">` | `InputField` | `components/form/input/InputField` |
| `<input type="checkbox">` | `Checkbox` | `components/form/input/Checkbox` |
| `<input type="radio">` | `Radio` | `components/form/input/Radio` |
| `<select>` | `Select` or `SelectDropdown` | `components/form/Select` |
| `<textarea>` | `TextArea` | `components/form/input/TextArea` |
### Component Quick Reference
```tsx
// Buttons
<Button variant="primary" tone="brand">Save</Button>
<Button variant="outline" tone="danger">Delete</Button>
<IconButton icon={<CloseIcon />} variant="ghost" title="Close" />
// Form Inputs
<InputField type="text" label="Name" value={val} onChange={setVal} />
<Select options={opts} onChange={setVal} />
<Checkbox label="Accept" checked={val} onChange={setVal} />
<Switch label="Enable" checked={val} onChange={setVal} />
// Display
<Badge tone="success" variant="soft">Active</Badge>
<Alert variant="error" title="Error" message="Failed" />
<Spinner size="md" />
```
### Icon Rules
**Always import from central location:**
```tsx
// ✅ CORRECT
import { PlusIcon, CloseIcon, CheckCircleIcon } from '../../icons';
// ❌ BANNED - External icon libraries
import { XIcon } from '@heroicons/react/24/outline';
import { Trash } from 'lucide-react';
```
**Icon sizing:**
- `className="w-4 h-4"` - In buttons, badges
- `className="w-5 h-5"` - Standalone
- `className="w-6 h-6"` - Headers, features
---
## 🐳 Docker Commands (IMPORTANT!)
**Container Names:**
| Container | Name | Purpose |
|-----------|------|---------|
| Backend | `igny8_backend` | Django API server |
| Frontend | `igny8_frontend` | React dev server |
| Celery Worker | `igny8_celery_worker` | Background tasks |
| Celery Beat | `igny8_celery_beat` | Scheduled tasks |
**Run commands INSIDE containers:**
```bash
# ✅ CORRECT - Run Django management commands
docker exec -it igny8_backend python manage.py migrate
docker exec -it igny8_backend python manage.py makemigrations
docker exec -it igny8_backend python manage.py shell
# ✅ CORRECT - Run npm commands
docker exec -it igny8_frontend npm install
docker exec -it igny8_frontend npm run build
docker exec -it igny8_frontend npm run lint # Check design system violations
# ✅ CORRECT - View logs
docker logs igny8_backend -f
docker logs igny8_celery_worker -f
# ❌ WRONG - Don't use docker-compose for commands
# docker-compose exec backend python manage.py migrate
```
---
## 📊 Data Scoping (CRITICAL!)
**Understand which data is scoped where:**
| Scope | Models | Notes |
|-------|--------|-------|
| **Global (Platform-wide)** | `GlobalIntegrationSettings`, `GlobalAIPrompt`, `GlobalAuthorProfile`, `GlobalStrategy`, `GlobalModuleSettings`, `Industry`, `SeedKeyword` | Admin-only, shared by ALL accounts |
| **Account-scoped** | `Account`, `User`, `Plan`, `IntegrationSettings`, `ModuleEnableSettings`, `AISettings`, `AIPrompt`, `AuthorProfile` | Filter by `account` |
| **Site+Sector-scoped** | `Keywords`, `Clusters`, `ContentIdeas`, `Tasks`, `Content`, `Images` | Filter by `site` AND optionally `sector` |
**Key Rules:**
- Global settings: NO account filtering (platform-wide, admin managed)
- Account models: Use `AccountBaseModel`, filter by `request.user.account`
- Site/Sector models: Use `SiteSectorBaseModel`, filter by `site` and `sector`
---
## ✅ Rules (One Line Each)
### Before Coding
1. **Read docs first** - Always read the relevant module doc from `docs/10-MODULES/` before changing code
2. **Read COMPONENT-SYSTEM.md** - **REQUIRED** before any frontend changes
3. **Check existing patterns** - Search codebase for similar implementations before creating new ones
4. **Use existing components** - Never duplicate; reuse components from `frontend/src/components/`
5. **Check data scope** - Know if your model is Global, Account, or Site/Sector scoped (see table above)
### During Coding - Backend
6. **Use correct base class** - Global: `models.Model`, Account: `AccountBaseModel`, Site: `SiteSectorBaseModel`
7. **Use AI framework** - Use `backend/igny8_core/ai/` for AI operations, NOT legacy `utils/ai_processor.py`
8. **Follow service pattern** - Business logic in `backend/igny8_core/business/*/services/`
9. **Check permissions** - Use `IsAuthenticatedAndActive`, `HasTenantAccess` in views
### During Coding - Frontend (DESIGN SYSTEM)
10. **Use design system components** - Button, InputField, Select, Badge, Card - never raw HTML
11. **Use only design system colors** - `brand-*`, `gray-*`, `success-*`, `error-*`, `warning-*`, `purple-*`
12. **Import icons from central location** - `import { Icon } from '../../icons'` - never external libraries
13. **No inline styles** - Use Tailwind utilities or CSS variables only
14. **No hardcoded colors** - No hex values, no `blue-500`, `red-500` (Tailwind defaults disabled)
15. **Use TypeScript types** - All frontend code must be typed
### After Coding
16. **Run ESLint** - `docker exec -it igny8_frontend npm run lint` to check design system violations
17. **Update CHANGELOG.md** - Every commit needs a changelog entry with git reference
18. **Increment version** - PATCH for fixes, MINOR for features, MAJOR for breaking changes
19. **Update docs** - If you changed APIs or architecture, update relevant docs in `docs/`
20. **Run migrations** - After model changes: `docker exec -it igny8_backend python manage.py makemigrations`
---
## 📝 Changelog Format
```markdown
## v1.1.1 - December 27, 2025
### Fixed
- Description here (git: abc1234)
### Added
- Description here (git: def5678)
### Changed
- Description here (git: ghi9012)
```
---
## 🔗 Key Documentation
| I want to... | Go to |
|--------------|-------|
| Find any module | [docs/INDEX.md](docs/INDEX.md) |
| **Use UI components** | [docs/30-FRONTEND/COMPONENT-SYSTEM.md](docs/30-FRONTEND/COMPONENT-SYSTEM.md) |
| **Check design tokens** | [docs/30-FRONTEND/DESIGN-TOKENS.md](docs/30-FRONTEND/DESIGN-TOKENS.md) |
| **Design guide** | [docs/30-FRONTEND/DESIGN-GUIDE.md](docs/30-FRONTEND/DESIGN-GUIDE.md) |
| Understand architecture | [docs/00-SYSTEM/ARCHITECTURE.md](docs/00-SYSTEM/ARCHITECTURE.md) |
| Find an API endpoint | [docs/20-API/ENDPOINTS.md](docs/20-API/ENDPOINTS.md) |
| See all models | [docs/90-REFERENCE/MODELS.md](docs/90-REFERENCE/MODELS.md) |
| Understand AI functions | [docs/90-REFERENCE/AI-FUNCTIONS.md](docs/90-REFERENCE/AI-FUNCTIONS.md) |
| See frontend pages | [docs/30-FRONTEND/PAGES.md](docs/30-FRONTEND/PAGES.md) |
| See recent changes | [CHANGELOG.md](CHANGELOG.md) |
| View component demos | App route: `/ui-elements` |
---
## 🚫 Don't Do
### General
- ❌ Skip reading docs before coding
- ❌ Create duplicate components
- ❌ Use `docker-compose` for exec commands (use `docker exec`)
- ❌ Use legacy `utils/ai_processor.py`
- ❌ Add account filtering to Global models (they're platform-wide!)
- ❌ Forget site/sector filtering on content models
- ❌ Forget to update CHANGELOG
- ❌ Hardcode values (use settings/constants)
- ❌ Work on Linker/Optimizer (inactive modules - Phase 2)
- ❌ Use any SiteBuilder code (deprecated - mark for removal)
### Frontend - DESIGN SYSTEM VIOLATIONS
- ❌ Use raw `<button>` - use `Button` or `IconButton`
- ❌ Use raw `<input>` - use `InputField`, `Checkbox`, `Radio`
- ❌ Use raw `<select>` - use `Select` or `SelectDropdown`
- ❌ Use raw `<textarea>` - use `TextArea`
- ❌ Use inline `style={}` attributes
- ❌ Hardcode hex colors (`#0693e3`, `#ff0000`)
- ❌ Use Tailwind default colors (`blue-500`, `red-500`, `green-500`)
- ❌ Import from `@heroicons/*`, `lucide-react`, `@mui/icons-material`
- ❌ Create new CSS files (use `design-system.css` only)
---
## 📊 API Base URLs
| Module | Base URL |
|--------|----------|
| Auth | `/api/v1/auth/` |
| Planner | `/api/v1/planner/` |
| Writer | `/api/v1/writer/` |
| Billing | `/api/v1/billing/` |
| Integration | `/api/v1/integration/` |
| System | `/api/v1/system/` |
**API Docs:** https://api.igny8.com/api/docs/
**Admin:** https://api.igny8.com/admin/
**App:** https://app.igny8.com/
---
## 📄 Documentation Rules
**Root folder MD files allowed (ONLY these):**
- `.rules` - AI agent rules (this file)
- `CHANGELOG.md` - Version history
- `README.md` - Project quickstart
**All other docs go in `/docs/` folder:**
```
docs/
├── INDEX.md # Master navigation
├── 00-SYSTEM/ # Architecture, auth, tenancy, IGNY8-APP.md
├── 10-MODULES/ # One file per module
├── 20-API/ # API endpoints
├── 30-FRONTEND/ # Pages, stores, DESIGN-GUIDE, DESIGN-TOKENS, COMPONENT-SYSTEM
├── 40-WORKFLOWS/ # Cross-module flows
├── 90-REFERENCE/ # Models, AI functions, FIXES-KB
└── plans/ # FINAL-PRELAUNCH, implementation plans
```
**When updating docs:**
| Change Type | Update These Files |
|-------------|-------------------|
| New endpoint | Module doc + `docs/20-API/ENDPOINTS.md` |
| New model | Module doc + `docs/90-REFERENCE/MODELS.md` |
| New page | Module doc + `docs/30-FRONTEND/PAGES.md` |
| New module | Create module doc + update `docs/INDEX.md` |
**DO NOT** create random MD files - update existing docs instead.
---
## 🎯 Quick Checklist Before Commit
### Backend Changes
- [ ] Read relevant module docs
- [ ] Correct data scope (Global/Account/Site)
- [ ] Ran migrations if model changed
### Frontend Changes
- [ ] Read COMPONENT-SYSTEM.md
- [ ] Used design system components (not raw HTML)
- [ ] Used design system colors (brand-*, gray-*, success-*, error-*, warning-*, purple-*)
- [ ] Icons imported from `../../icons`
- [ ] No inline styles or hardcoded hex colors
- [ ] Ran `npm run lint` - no design system violations
### All Changes
- [ ] Updated CHANGELOG.md with git reference
- [ ] Incremented version number
- [ ] Tested locally

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# IGNY8 - AI-Powered SEO Content Platform
# IGNY8 Platform
**Version:** 1.0.5
**License:** Proprietary
**Website:** https://igny8.com
Full-stack SaaS platform for SEO keyword management and AI-driven content generation, built with Django REST Framework and React.
**Last Updated:** 2025-01-XX
---
## Quick Links
## 🏗️ Architecture
| Document | Description |
|----------|-------------|
| [docs/00-SYSTEM/IGNY8-APP.md](docs/00-SYSTEM/IGNY8-APP.md) | Executive summary (non-technical) |
| [docs/INDEX.md](docs/INDEX.md) | Full documentation index |
| [CHANGELOG.md](CHANGELOG.md) | Version history |
| [.rules](.rules) | AI agent rules |
- **Backend**: Django 5.2+ with Django REST Framework (Port 8010/8011)
- **Frontend**: React 19 with TypeScript and Vite (Port 5173/8021)
- **Database**: PostgreSQL 15
- **Task Queue**: Celery with Redis
- **Reverse Proxy**: Caddy (HTTPS on port 443)
- **Deployment**: Docker-based containerization
---
## What is IGNY8?
IGNY8 is a full-stack SaaS platform that combines AI-powered content generation with intelligent SEO management. It helps content creators, marketers, and agencies streamline their content workflow from keyword research to published articles.
### Key Features
- 🔍 **Smart Keyword Management** - Import, cluster, and organize keywords with AI
- ✍️ **AI Content Generation** - Generate SEO-optimized blog posts using GPT-4
- 🖼️ **AI Image Creation** - Auto-generate featured and in-article images
- 🔗 **Internal Linking** - AI-powered link suggestions (coming soon)
- 📊 **Content Optimization** - Analyze and score content quality (coming soon)
- 🔄 **WordPress Integration** - Bidirectional sync with WordPress sites
- 📈 **Usage-Based Billing** - Credit system for AI operations
- 👥 **Multi-Tenancy** - Manage multiple sites and teams
---
## Repository Structure
## 📁 Project Structure
```
igny8/
├── README.md # This file
├── CHANGELOG.md # Version history
├── .rules # AI agent rules
├── backend/ # Django REST API + Celery
├── frontend/ # React + Vite SPA
├── docs/ # Full documentation
│ ├── INDEX.md # Documentation navigation
── 00-SYSTEM/ # Architecture, auth, IGNY8-APP
│ ├── 10-MODULES/ # Module documentation
│ ├── 20-API/ # API endpoints
│ ├── 30-FRONTEND/ # Frontend pages, stores, design system
│ ├── 40-WORKFLOWS/ # Cross-module workflows
│ ├── 50-DEPLOYMENT/ # Deployment guides
│ ├── 90-REFERENCE/ # Models, AI functions, fixes
│ └── plans/ # Implementation plans
├── backend/ # Django backend
│ ├── igny8_core/ # Django project
│ │ ├── modules/ # Feature modules (Planner, Writer, System, Billing, Auth)
│ │ ├── ai/ # AI framework
│ │ ├── api/ # API base classes
└── middleware/ # Custom middleware
│ ├── Dockerfile
── requirements.txt
├── frontend/ # React frontend
│ ├── src/
│ ├── pages/ # Page components
│ ├── services/ # API clients
│ ├── components/ # UI components
│ ├── config/ # Configuration files
│ └── stores/ # Zustand stores
│ ├── Dockerfile
│ ├── Dockerfile.dev # Development mode
│ └── vite.config.ts
├── docs/ # Complete documentation
│ ├── 00-DOCUMENTATION-MANAGEMENT.md # Documentation & changelog management (READ FIRST)
│ ├── 01-TECH-STACK-AND-INFRASTRUCTURE.md
│ ├── 02-APPLICATION-ARCHITECTURE.md
│ ├── 03-FRONTEND-ARCHITECTURE.md
│ ├── 04-BACKEND-IMPLEMENTATION.md
│ ├── 05-AI-FRAMEWORK-IMPLEMENTATION.md
│ ├── 06-FUNCTIONAL-BUSINESS-LOGIC.md
│ ├── API-COMPLETE-REFERENCE.md # Complete unified API documentation
│ ├── planning/ # Architecture & implementation planning documents
│ │ ├── IGNY8-HOLISTIC-ARCHITECTURE-PLAN.md # Complete architecture plan
│ │ ├── IGNY8-IMPLEMENTATION-PLAN.md # Step-by-step implementation plan
│ │ ├── Igny8-phase-2-plan.md # Phase 2 feature specifications
│ │ ├── CONTENT-WORKFLOW-DIAGRAM.md # Content workflow diagrams
│ │ ├── ARCHITECTURE_CONTEXT.md # Architecture context reference
│ │ └── sample-usage-limits-credit-system # Credit system specification
│ └── refactor/ # Refactoring plans and documentation
├── CHANGELOG.md # Version history and changes (only updated after user confirmation)
└── docker-compose.app.yml
```
**Separate Repository:**
- [igny8-wp-integration](https://github.com/alorig/igny8-wp-integration) - WordPress bridge plugin
---
## Quick Start
## 🚀 Quick Start
### Prerequisites
- **Python 3.11+**
- **Node.js 18+**
- **PostgreSQL 14+**
- **Redis 7+**
- **Docker** (optional, recommended for local development)
- Docker & Docker Compose
- Node.js 18+ (for local development)
- Python 3.11+ (for local development)
### Local Development with Docker
### Development Setup
1. **Clone the repository**
```powershell
git clone https://github.com/alorig/igny8-app.git
cd igny8
1. **Navigate to the project directory:**
```bash
cd /data/app/igny8
```
2. **Set environment variables**
Create `.env` file in `backend/` directory:
```env
SECRET_KEY=your-secret-key-here
DEBUG=True
DATABASE_URL=postgresql://postgres:postgres@db:5432/igny8
REDIS_URL=redis://redis:6379/0
OPENAI_API_KEY=your-openai-key
RUNWARE_API_KEY=your-runware-key
2. **Backend Setup:**
```bash
cd backend
pip install -r requirements.txt
python manage.py migrate
python manage.py createsuperuser
python manage.py runserver
```
3. **Start services**
```powershell
docker-compose -f docker-compose.app.yml up --build
3. **Frontend Setup:**
```bash
cd frontend
npm install
npm run dev
```
4. **Access applications**
4. **Access:**
- Frontend: http://localhost:5173
- Backend API: http://localhost:8000
- API Docs: http://localhost:8000/api/docs/
- Django Admin: http://localhost:8000/admin/
- Backend API: http://localhost:8011/api/
- Admin: http://localhost:8011/admin/
### Manual Setup (Without Docker)
### Docker Setup
#### Backend Setup
```bash
# Build images
docker build -f backend/Dockerfile -t igny8-backend ./backend
docker build -f frontend/Dockerfile.dev -t igny8-frontend-dev ./frontend
```powershell
cd backend
# Create virtual environment
python -m venv .venv
.\.venv\Scripts\Activate.ps1
# Install dependencies
pip install -r requirements.txt
# Run migrations
python manage.py migrate
# Create superuser
python manage.py createsuperuser
# Run development server
python manage.py runserver
# Run with docker-compose
docker-compose -f docker-compose.app.yml up
```
In separate terminals, start Celery:
```powershell
# Celery worker
celery -A igny8_core worker -l info
# Celery beat (scheduled tasks)
celery -A igny8_core beat -l info
```
#### Frontend Setup
```powershell
cd frontend
# Install dependencies
npm install
# Start dev server
npm run dev
```
For complete installation guide, see [docs/01-TECH-STACK-AND-INFRASTRUCTURE.md](docs/01-TECH-STACK-AND-INFRASTRUCTURE.md).
---
## Project Architecture
## 📚 Features
### System Overview
### ✅ Implemented
```
User Interface (React)
REST API (Django)
┌───────┴────────┐
│ │
Database AI Engine
(PostgreSQL) (Celery + OpenAI)
WordPress Plugin
(Bidirectional Sync)
- **Foundation**: Multi-tenancy system, Authentication (login/register), RBAC permissions
- **Planner Module**: Keywords, Clusters, Content Ideas (full CRUD, filtering, pagination, bulk operations, CSV import/export, AI clustering)
- **Writer Module**: Tasks, Content, Images (full CRUD, AI content generation, AI image generation)
- **Thinker Module**: Prompts, Author Profiles, Strategies, Image Testing
- **System Module**: Settings, Integrations (OpenAI, Runware), AI Prompts
- **Billing Module**: Credits, Transactions, Usage Logs
- **AI Functions**: 5 AI operations (Auto Cluster, Generate Ideas, Generate Content, Generate Image Prompts, Generate Images)
- **Frontend**: Complete component library, 4 master templates, config-driven UI system
- **Backend**: REST API with tenant isolation, Site > Sector hierarchy, Celery async tasks
- **WordPress Integration**: Direct publishing to WordPress sites
- **Development**: Docker Compose setup, hot reload, TypeScript + React
### 🚧 In Progress
- Planner Dashboard enhancement with KPIs
- Automation & CRON tasks
- Advanced analytics
### 🔄 Planned
- Analytics module enhancements
- Advanced scheduling features
- Additional AI model integrations
---
## 🔗 API Documentation
### Interactive Documentation
- **Swagger UI**: `https://api.igny8.com/api/docs/`
- **ReDoc**: `https://api.igny8.com/api/redoc/`
- **OpenAPI Schema**: `https://api.igny8.com/api/schema/`
### API Complete Reference
**[API Complete Reference](docs/API-COMPLETE-REFERENCE.md)** - Comprehensive unified API documentation (single source of truth)
- Complete endpoint reference (100+ endpoints across all modules)
- Authentication & authorization guide
- Response format standards (unified format: `{success, data, message, errors, request_id}`)
- Error handling
- Rate limiting (scoped by operation type)
- Pagination
- Roles & permissions
- Tenant/site/sector scoping
- Integration examples (Python, JavaScript, cURL, PHP)
- Testing & debugging
- Change management
### API Standard Features
- ✅ **Unified Response Format** - Consistent JSON structure for all endpoints
- ✅ **Layered Authorization** - Authentication → Tenant → Role → Site/Sector
- ✅ **Centralized Error Handling** - All errors in unified format with request_id
- ✅ **Scoped Rate Limiting** - Different limits per operation type (10-100/min)
- ✅ **Tenant Isolation** - Account/site/sector scoping
- ✅ **Request Tracking** - Unique request ID for debugging
- ✅ **100% Implemented** - All endpoints use unified format
### Quick API Example
```bash
# Login
curl -X POST https://api.igny8.com/api/v1/auth/login/ \
-H "Content-Type: application/json" \
-d '{"email":"user@example.com","password":"password"}'
# Get keywords (with token)
curl -X GET https://api.igny8.com/api/v1/planner/keywords/ \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json"
```
### Tech Stack
### Additional API Guides
- **[Authentication Guide](docs/AUTHENTICATION-GUIDE.md)** - Detailed JWT authentication guide
- **[Error Codes Reference](docs/ERROR-CODES.md)** - Complete error code reference
- **[Rate Limiting Guide](docs/RATE-LIMITING.md)** - Rate limiting and throttling details
- **[Migration Guide](docs/MIGRATION-GUIDE.md)** - Migrating to API v1.0
- **[WordPress Plugin Integration](docs/WORDPRESS-PLUGIN-INTEGRATION.md)** - WordPress integration guide
For backend implementation details, see [docs/04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md).
---
## 📖 Documentation
All documentation is consolidated in the `/docs/` folder.
**⚠️ IMPORTANT FOR AI AGENTS**: Before making any changes, read:
1. **[00-DOCUMENTATION-MANAGEMENT.md](docs/00-DOCUMENTATION-MANAGEMENT.md)** - Versioning, changelog, and DRY principles
2. **[CHANGELOG.md](CHANGELOG.md)** - Current version and change history
### Core Documentation
0. **[00-DOCUMENTATION-MANAGEMENT.md](docs/00-DOCUMENTATION-MANAGEMENT.md)** ⚠️ **READ FIRST**
- Documentation and changelog management system
- Versioning system (Semantic Versioning)
- Changelog update rules (only after user confirmation)
- DRY principles and standards
- AI agent instructions
1. **[01-TECH-STACK-AND-INFRASTRUCTURE.md](docs/01-TECH-STACK-AND-INFRASTRUCTURE.md)**
- Technology stack overview
- Infrastructure components
- Docker deployment architecture
- Fresh installation guide
- External service integrations
2. **[02-APPLICATION-ARCHITECTURE.md](docs/02-APPLICATION-ARCHITECTURE.md)**
- IGNY8 application architecture
- System hierarchy and relationships
- User roles and access control
- Module organization
- Complete workflows
- Data models and relationships
- Multi-tenancy architecture
- API architecture
- Security architecture
3. **[03-FRONTEND-ARCHITECTURE.md](docs/03-FRONTEND-ARCHITECTURE.md)**
- Frontend architecture
- Project structure
- Routing system
- Template system
- Component library
- State management
- API integration
- Configuration system
- All pages and features
4. **[04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md)**
- Backend architecture
- Project structure
- Models and relationships
- ViewSets and API endpoints
- Serializers
- Celery tasks
- Middleware
- All modules (Planner, Writer, System, Billing, Auth)
5. **[05-AI-FRAMEWORK-IMPLEMENTATION.md](docs/05-AI-FRAMEWORK-IMPLEMENTATION.md)**
- AI framework architecture and code structure
- All 5 AI functions (technical implementation)
- AI function execution flow
- Progress tracking
- Cost tracking
- Prompt management
- Model configuration
6. **[06-FUNCTIONAL-BUSINESS-LOGIC.md](docs/06-FUNCTIONAL-BUSINESS-LOGIC.md)**
- Complete functional and business logic documentation
- All workflows and processes
- All features and functions
- How the application works from business perspective
- Credit system details
- WordPress integration
- Data flow and state management
### Quick Start Guide
**For AI Agents**: Start with [00-DOCUMENTATION-MANAGEMENT.md](docs/00-DOCUMENTATION-MANAGEMENT.md) to understand versioning, changelog, and DRY principles.
1. **New to IGNY8?** Start with [01-TECH-STACK-AND-INFRASTRUCTURE.md](docs/01-TECH-STACK-AND-INFRASTRUCTURE.md) for technology overview
2. **Understanding the System?** Read [02-APPLICATION-ARCHITECTURE.md](docs/02-APPLICATION-ARCHITECTURE.md) for complete architecture
3. **Frontend Development?** See [03-FRONTEND-ARCHITECTURE.md](docs/03-FRONTEND-ARCHITECTURE.md) for all frontend details
4. **Backend Development?** See [04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md) for all backend details
5. **Working with AI?** See [05-AI-FRAMEWORK-IMPLEMENTATION.md](docs/05-AI-FRAMEWORK-IMPLEMENTATION.md) for AI framework implementation
6. **Understanding Business Logic?** See [06-FUNCTIONAL-BUSINESS-LOGIC.md](docs/06-FUNCTIONAL-BUSINESS-LOGIC.md) for complete workflows and features
7. **What's New?** Check [CHANGELOG.md](CHANGELOG.md) for recent changes
### Finding Information
**By Topic:**
- **API Documentation**: [API-COMPLETE-REFERENCE.md](docs/API-COMPLETE-REFERENCE.md) - Complete unified API reference (single source of truth)
- **Infrastructure & Deployment**: [01-TECH-STACK-AND-INFRASTRUCTURE.md](docs/01-TECH-STACK-AND-INFRASTRUCTURE.md)
- **Application Architecture**: [02-APPLICATION-ARCHITECTURE.md](docs/02-APPLICATION-ARCHITECTURE.md)
- **Frontend Development**: [03-FRONTEND-ARCHITECTURE.md](docs/03-FRONTEND-ARCHITECTURE.md)
- **Backend Development**: [04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md)
- **AI Framework Implementation**: [05-AI-FRAMEWORK-IMPLEMENTATION.md](docs/05-AI-FRAMEWORK-IMPLEMENTATION.md)
- **Business Logic & Workflows**: [06-FUNCTIONAL-BUSINESS-LOGIC.md](docs/06-FUNCTIONAL-BUSINESS-LOGIC.md)
- **Changes & Updates**: [CHANGELOG.md](CHANGELOG.md)
- **Documentation Management**: [00-DOCUMENTATION-MANAGEMENT.md](docs/00-DOCUMENTATION-MANAGEMENT.md) ⚠️ **For AI Agents**
**By Module:**
- **Planner**: See [02-APPLICATION-ARCHITECTURE.md](docs/02-APPLICATION-ARCHITECTURE.md) (Module Organization) and [04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md) (Planner Module)
- **Writer**: See [02-APPLICATION-ARCHITECTURE.md](docs/02-APPLICATION-ARCHITECTURE.md) (Module Organization) and [04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md) (Writer Module)
- **Thinker**: See [03-FRONTEND-ARCHITECTURE.md](docs/03-FRONTEND-ARCHITECTURE.md) (Thinker Pages) and [04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md) (System Module)
- **System**: See [04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md) (System Module)
- **Billing**: See [04-BACKEND-IMPLEMENTATION.md](docs/04-BACKEND-IMPLEMENTATION.md) (Billing Module)
---
## 🛠️ Development
### Technology Stack
**Backend:**
- Django 5.2+ (Python web framework)
- Django REST Framework (API)
- PostgreSQL (Database)
- Celery (Async task queue)
- Redis (Message broker)
- OpenAI API (Content generation)
- Django 5.2+
- Django REST Framework
- PostgreSQL 15
- Celery 5.3+
- Redis 7
**Frontend:**
- React 19 (UI library)
- Vite 6 (Build tool)
- Zustand (State management)
- React Router v7 (Routing)
- Tailwind CSS 4 (Styling)
- React 19
- TypeScript 5.7+
- Vite 6.1+
- Tailwind CSS 4.0+
- Zustand 5.0+
**WordPress Plugin:**
- PHP 7.4+ (WordPress compatibility)
- REST API integration
- Bidirectional sync
**Infrastructure:**
- Docker & Docker Compose
- Caddy (Reverse Proxy)
- Portainer (Container Management)
### System Capabilities
- **Multi-Tenancy**: Complete account isolation with automatic filtering
- **Planner Module**: Keywords, Clusters, Content Ideas management
- **Writer Module**: Tasks, Content, Images generation and management
- **Thinker Module**: Prompts, Author Profiles, Strategies, Image Testing
- **System Module**: Settings, Integrations, AI Prompts
- **Billing Module**: Credits, Transactions, Usage Logs
- **AI Functions**: 5 AI operations (Auto Cluster, Generate Ideas, Generate Content, Generate Image Prompts, Generate Images)
---
## How IGNY8 Works
---
### Content Creation Workflow
## 🔒 Documentation & Changelog Management
```
1. Import Keywords
2. AI Clusters Keywords
3. Generate Content Ideas
4. Create Writer Tasks
5. AI Generates Content
6. AI Creates Images
7. Publish to WordPress
8. Sync Status Back
```
### Versioning System
### WordPress Integration
- **Format**: Semantic Versioning (MAJOR.MINOR.PATCH)
- **Current Version**: `1.0.0`
- **Location**: `CHANGELOG.md` (root directory)
- **Rules**: Only updated after user confirmation that fix/feature is complete
The WordPress bridge plugin (`igny8-wp-integration`) creates a bidirectional connection:
### Changelog Management
- **IGNY8 → WordPress:** Publish AI-generated content to WordPress
- **WordPress → IGNY8:** Sync post status updates back to IGNY8
- **Location**: `CHANGELOG.md` (root directory)
- **Rules**: Only updated after user confirmation
- **Structure**: Added, Changed, Fixed, Deprecated, Removed, Security
- **For Details**: See [00-DOCUMENTATION-MANAGEMENT.md](docs/00-DOCUMENTATION-MANAGEMENT.md)
**Setup:**
1. Install WordPress plugin on your site
2. Generate API key in IGNY8 app
3. Connect plugin using email, password, and API key
4. Plugin syncs automatically
### DRY Principles
**Core Principle**: Always use existing, predefined, standardized components, utilities, functions, and configurations.
**Frontend**: Use existing templates, components, stores, contexts, utilities, and Tailwind CSS
**Backend**: Use existing base classes, AI framework, services, and middleware
**For Complete Guidelines**: See [00-DOCUMENTATION-MANAGEMENT.md](docs/00-DOCUMENTATION-MANAGEMENT.md)
**⚠️ For AI Agents**: Read `docs/00-DOCUMENTATION-MANAGEMENT.md` at the start of every session.
---
## Documentation
## 📝 License
Start here: [docs/README.md](./docs/README.md) (index of all topics).
Common entry points:
- App architecture: `docs/igny8-app/IGNY8-APP-ARCHITECTURE.md`
- Backend architecture: `docs/backend/IGNY8-BACKEND-ARCHITECTURE.md`
- Planner backend detail: `docs/backend/IGNY8-PLANNER-BACKEND.md`
- Writer backend detail: `docs/backend/IGNY8-WRITER-BACKEND.md`
- Automation: `docs/automation/AUTOMATION-REFERENCE.md`
- Tech stack: `docs/tech-stack/00-SYSTEM-ARCHITECTURE-MASTER-REFERENCE.md`
- API: `docs/API/API-COMPLETE-REFERENCE-LATEST.md`
- Billing & Credits: `docs/billing/billing-account-final-plan-2025-12-05.md`
- App guides: `docs/igny8-app/` (planner/writer workflows, taxonomy, feature modification)
- WordPress: `docs/wp/` (plugin integration and sync)
- Docs changelog: `docs/CHANGELOG.md`
[Add license information]
---
## Development Workflow
## 📞 Support
### Running Tests
```powershell
# Backend tests
cd backend
python manage.py test
# Frontend tests
cd frontend
npm run test
```
### Code Quality
```powershell
# Frontend linting
cd frontend
npm run lint
```
### Building for Production
```powershell
# Backend
cd backend
python manage.py collectstatic
# Frontend
cd frontend
npm run build
```
---
## API Overview
**Base URL:** `https://api.igny8.com/api/v1/`
**Authentication:** JWT Bearer token
**Key Endpoints:**
- `/auth/login/` - User authentication
- `/planner/keywords/` - Keyword management
- `/planner/clusters/` - Keyword clusters
- `/writer/tasks/` - Content tasks
- `/writer/content/` - Generated content
- `/integration/integrations/` - WordPress integrations
**Interactive Docs:**
- Swagger UI: https://api.igny8.com/api/docs/
- ReDoc: https://api.igny8.com/api/redoc/
See [API-COMPLETE-REFERENCE.md](./master-docs/API-COMPLETE-REFERENCE.md) for full documentation.
---
## Multi-Tenancy
IGNY8 supports complete account isolation:
```
Account (Organization)
├── Users (with roles: owner, admin, editor, viewer)
├── Sites (multiple WordPress sites)
└── Sectors (content categories)
└── Keywords, Clusters, Content
```
All data is automatically scoped to the authenticated user's account.
---
## Contributing
This is a private repository. For internal development:
1. Create feature branch: `git checkout -b feature/your-feature`
2. Make changes and test thoroughly
3. Commit: `git commit -m "Add your feature"`
4. Push: `git push origin feature/your-feature`
5. Create Pull Request
---
## Deployment
### Production Deployment
1. **Set production environment variables**
2. **Build frontend:** `npm run build`
3. **Collect static files:** `python manage.py collectstatic`
4. **Run migrations:** `python manage.py migrate`
5. **Use docker-compose:** `docker-compose -f docker-compose.app.yml up -d`
### Environment Variables
Required for production:
```env
SECRET_KEY=<random-secret-key>
DEBUG=False
ALLOWED_HOSTS=api.igny8.com,app.igny8.com
DATABASE_URL=postgresql://user:pass@host:5432/dbname
REDIS_URL=redis://host:6379/0
OPENAI_API_KEY=<openai-key>
RUNWARE_API_KEY=<runware-key>
USE_SECURE_COOKIES=True
```
---
## Support
For support and questions:
- Check [MASTER_REFERENCE.md](./MASTER_REFERENCE.md) for detailed documentation
- Review API docs at `/api/docs/`
- Contact development team
---
## License
Proprietary. All rights reserved.
---
## Changelog
See [CHANGELOG.md](./CHANGELOG.md) for version history and updates.
---
**Built with ❤️ by the IGNY8 team**
# Test commit - Mon Dec 15 07:18:54 UTC 2025
For questions or clarifications about the documentation, refer to the specific document in the `/docs/` folder or contact the development team.

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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.

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@@ -22,10 +22,6 @@ RUN pip install --upgrade pip \
# Copy full project
COPY . /app/
# Copy startup script
COPY container_startup.sh /app/
RUN chmod +x /app/container_startup.sh
# Collect static files for WhiteNoise (skip during build if DB not available)
# Will be run during container startup if needed
RUN python manage.py collectstatic --noinput || echo "Skipping collectstatic during build"
@@ -36,7 +32,5 @@ ENV DJANGO_SETTINGS_MODULE=igny8_core.settings
# Expose port for Gunicorn (matches Portainer docker-compose config)
EXPOSE 8010
# Use startup script as entrypoint to log container lifecycle
# Start using Gunicorn (matches Portainer docker-compose config)
ENTRYPOINT ["/app/container_startup.sh"]
CMD ["gunicorn", "igny8_core.wsgi:application", "--bind", "0.0.0.0:8010"]

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#!/bin/bash
# Container Startup Logger
# Logs container lifecycle events for debugging restarts
set -e
echo "=========================================="
echo "[CONTAINER-STARTUP] $(date '+%Y-%m-%d %H:%M:%S')"
echo "Container: igny8_backend"
echo "Hostname: $(hostname)"
echo "PID: $$"
echo "=========================================="
# Log environment info
echo "[INFO] Python version: $(python --version 2>&1)"
echo "[INFO] Django settings: ${DJANGO_SETTINGS_MODULE:-igny8_core.settings}"
echo "[INFO] Debug mode: ${DEBUG:-False}"
echo "[INFO] Database host: ${DB_HOST:-not set}"
# Check if this is a restart (look for previous process artifacts)
if [ -f /tmp/container_pid ]; then
PREV_PID=$(cat /tmp/container_pid)
echo "[WARNING] Previous container PID found: $PREV_PID"
echo "[WARNING] This appears to be a RESTART event"
echo "[WARNING] Check Docker logs for SIGTERM/SIGKILL signals"
else
echo "[INFO] First startup (no previous PID file found)"
fi
# Save current PID
echo $$ > /tmp/container_pid
# Run database migrations (will skip if up to date)
echo "[INFO] Running database migrations..."
python manage.py migrate --noinput || echo "[WARNING] Migration failed or skipped"
# Collect static files (skip if already done)
echo "[INFO] Collecting static files..."
python manage.py collectstatic --noinput || echo "[WARNING] Collectstatic failed or skipped"
echo "=========================================="
echo "[CONTAINER-STARTUP] Initialization complete"
echo "[CONTAINER-STARTUP] Starting Gunicorn..."
echo "=========================================="
# Execute the CMD passed to the script (Gunicorn command)
exec "$@"

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@@ -1,61 +0,0 @@
#!/usr/bin/env python
"""Script to create admin permission groups"""
import os
import django
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'igny8_core.settings')
django.setup()
from django.contrib.auth.models import Group, Permission
from django.contrib.contenttypes.models import ContentType
groups_permissions = {
'Content Manager': {
'models': [
('writer', 'content'), ('writer', 'tasks'), ('writer', 'images'),
('planner', 'keywords'), ('planner', 'clusters'), ('planner', 'contentideas'),
],
'permissions': ['add', 'change', 'view'],
},
'Billing Admin': {
'models': [
('billing', 'payment'), ('billing', 'invoice'), ('billing', 'credittransaction'),
('billing', 'creditusagelog'), ('igny8_core_auth', 'account'),
],
'permissions': ['add', 'change', 'view', 'delete'],
},
'Support Agent': {
'models': [
('writer', 'content'), ('writer', 'tasks'),
('igny8_core_auth', 'account'), ('igny8_core_auth', 'site'),
],
'permissions': ['view'],
},
}
print('Creating admin permission groups...\n')
for group_name, config in groups_permissions.items():
group, created = Group.objects.get_or_create(name=group_name)
status = 'Created' if created else 'Updated'
print(f'{status} group: {group_name}')
group.permissions.clear()
added = 0
for app_label, model_name in config['models']:
try:
ct = ContentType.objects.get(app_label=app_label, model=model_name)
for perm_type in config['permissions']:
try:
perm = Permission.objects.get(content_type=ct, codename=f'{perm_type}_{model_name}')
group.permissions.add(perm)
added += 1
except Permission.DoesNotExist:
print(f' ! Permission not found: {perm_type}_{model_name}')
except ContentType.DoesNotExist:
print(f' ! ContentType not found: {app_label}.{model_name}')
print(f' Added {added} permissions')
print('\n✓ Permission groups created successfully!')

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@@ -0,0 +1,187 @@
#!/usr/bin/env python
"""
Script to create 3 real users with 3 paid packages (Starter, Growth, Scale)
All accounts will be active and properly configured.
Email format: plan-name@igny8.com
"""
import os
import django
import sys
from decimal import Decimal
# Setup Django
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'igny8_core.settings')
django.setup()
from django.db import transaction
from igny8_core.auth.models import Plan, Account, User
from django.utils.text import slugify
# User data - 3 users with 3 different paid plans
# Email format: plan-name@igny8.com
USERS_DATA = [
{
"email": "starter@igny8.com",
"username": "starter",
"first_name": "Starter",
"last_name": "Account",
"password": "SecurePass123!@#",
"plan_slug": "starter", # $89/month
"account_name": "Starter Account",
},
{
"email": "growth@igny8.com",
"username": "growth",
"first_name": "Growth",
"last_name": "Account",
"password": "SecurePass123!@#",
"plan_slug": "growth", # $139/month
"account_name": "Growth Account",
},
{
"email": "scale@igny8.com",
"username": "scale",
"first_name": "Scale",
"last_name": "Account",
"password": "SecurePass123!@#",
"plan_slug": "scale", # $229/month
"account_name": "Scale Account",
},
]
def create_user_with_plan(user_data):
"""Create a user with account and assigned plan."""
try:
with transaction.atomic():
# Get the plan
try:
plan = Plan.objects.get(slug=user_data['plan_slug'], is_active=True)
except Plan.DoesNotExist:
print(f"❌ ERROR: Plan '{user_data['plan_slug']}' not found or inactive!")
return None
# Check if user already exists
if User.objects.filter(email=user_data['email']).exists():
print(f"⚠️ User {user_data['email']} already exists. Updating...")
existing_user = User.objects.get(email=user_data['email'])
if existing_user.account:
existing_user.account.plan = plan
existing_user.account.status = 'active'
existing_user.account.save()
print(f" ✅ Updated account plan to {plan.name} and set status to active")
return existing_user
# Generate unique account slug
base_slug = slugify(user_data['account_name'])
account_slug = base_slug
counter = 1
while Account.objects.filter(slug=account_slug).exists():
account_slug = f"{base_slug}-{counter}"
counter += 1
# Create user first (without account)
user = User.objects.create_user(
username=user_data['username'],
email=user_data['email'],
password=user_data['password'],
first_name=user_data['first_name'],
last_name=user_data['last_name'],
account=None, # Will be set after account creation
role='owner'
)
# Create account with user as owner and assigned plan
account = Account.objects.create(
name=user_data['account_name'],
slug=account_slug,
owner=user,
plan=plan,
status='active', # Set to active
credits=plan.included_credits or 0, # Set initial credits from plan
)
# Update user to reference the new account
user.account = account
user.save()
print(f"✅ Created user: {user.email}")
print(f" - Name: {user.get_full_name()}")
print(f" - Username: {user.username}")
print(f" - Account: {account.name} (slug: {account.slug})")
print(f" - Plan: {plan.name} (${plan.price}/month)")
print(f" - Status: {account.status}")
print(f" - Credits: {account.credits}")
print(f" - Max Sites: {plan.max_sites}")
print(f" - Max Users: {plan.max_users}")
print()
return user
except Exception as e:
print(f"❌ ERROR creating user {user_data['email']}: {e}")
import traceback
traceback.print_exc()
return None
def main():
"""Main function to create all users."""
print("=" * 80)
print("Creating 3 Users with Paid Plans")
print("=" * 80)
print()
# Verify plans exist
print("Checking available plans...")
plans = Plan.objects.filter(is_active=True).order_by('price')
if plans.count() < 3:
print(f"⚠️ WARNING: Only {plans.count()} active plan(s) found. Need at least 3.")
print("Available plans:")
for p in plans:
print(f" - {p.slug} (${p.price})")
print()
print("Please run import_plans.py first to create the plans.")
return
print("✅ Found plans:")
for p in plans:
print(f" - {p.name} ({p.slug}): ${p.price}/month")
print()
# Create users
created_users = []
for user_data in USERS_DATA:
user = create_user_with_plan(user_data)
if user:
created_users.append(user)
# Summary
print("=" * 80)
print("SUMMARY")
print("=" * 80)
print(f"Total users created/updated: {len(created_users)}")
print()
print("User Login Credentials:")
print("-" * 80)
for user_data in USERS_DATA:
print(f"Email: {user_data['email']}")
print(f"Password: {user_data['password']}")
print(f"Plan: {user_data['plan_slug'].title()}")
print()
print("✅ All users created successfully!")
print()
print("You can now log in with any of these accounts at:")
print("https://app.igny8.com/login")
if __name__ == '__main__':
try:
main()
except Exception as e:
print(f"❌ Fatal error: {e}", file=sys.stderr)
import traceback
traceback.print_exc()
sys.exit(1)

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@@ -1,7 +1,7 @@
"""
Admin module for IGNY8
"""
# Note: Igny8ModelAdmin is imported by individual admin modules as needed to avoid circular imports
from .base import AccountAdminMixin, SiteSectorAdminMixin
__all__ = []
__all__ = ['AccountAdminMixin', 'SiteSectorAdminMixin']

View File

@@ -1,122 +0,0 @@
"""
Admin Alert System
"""
from django.utils import timezone
from datetime import timedelta
class AdminAlerts:
"""System for admin alerts and notifications"""
@staticmethod
def get_alerts():
"""Get all active alerts"""
alerts = []
today = timezone.now().date()
# Check for pending payments
from igny8_core.business.billing.models import Payment
pending_payments = Payment.objects.filter(status='pending_approval').count()
if pending_payments > 0:
alerts.append({
'level': 'warning',
'icon': '⚠️',
'message': f'{pending_payments} payment(s) awaiting approval',
'url': '/admin/billing/payment/?status=pending_approval',
'action': 'Review Payments'
})
# Check for low credit accounts
from igny8_core.auth.models import Account
low_credit_accounts = Account.objects.filter(
status='active',
credits__lt=100
).count()
if low_credit_accounts > 0:
alerts.append({
'level': 'info',
'icon': '',
'message': f'{low_credit_accounts} account(s) with low credits',
'url': '/admin/igny8_core_auth/account/?credits__lt=100',
'action': 'View Accounts'
})
# Check for very low credits (critical)
critical_credit_accounts = Account.objects.filter(
status='active',
credits__lt=10
).count()
if critical_credit_accounts > 0:
alerts.append({
'level': 'error',
'icon': '🔴',
'message': f'{critical_credit_accounts} account(s) with critical low credits (< 10)',
'url': '/admin/igny8_core_auth/account/?credits__lt=10',
'action': 'Urgent Review'
})
# Check for failed automations
from igny8_core.business.automation.models import AutomationRun
failed_today = AutomationRun.objects.filter(
status='failed',
started_at__date=today
).count()
if failed_today > 0:
alerts.append({
'level': 'error',
'icon': '🔴',
'message': f'{failed_today} automation(s) failed today',
'url': '/admin/automation/automationrun/?status=failed',
'action': 'Review Failures'
})
# Check for failed syncs
from igny8_core.business.integration.models import SyncEvent
failed_syncs = SyncEvent.objects.filter(
success=False,
created_at__date=today
).count()
if failed_syncs > 5: # Only alert if more than 5
alerts.append({
'level': 'warning',
'icon': '⚠️',
'message': f'{failed_syncs} WordPress sync failures today',
'url': '/admin/integration/syncevent/?success=False',
'action': 'Review Syncs'
})
# Check for failed Celery tasks
try:
from django_celery_results.models import TaskResult
celery_failed = TaskResult.objects.filter(
status='FAILURE',
date_created__date=today
).count()
if celery_failed > 0:
alerts.append({
'level': 'error',
'icon': '🔴',
'message': f'{celery_failed} Celery task(s) failed today',
'url': '/admin/django_celery_results/taskresult/?status=FAILURE',
'action': 'Review Tasks'
})
except:
pass
# Check for stale pending tasks (older than 24 hours)
from igny8_core.modules.writer.models import Tasks
yesterday = today - timedelta(days=1)
stale_tasks = Tasks.objects.filter(
status='pending',
created_at__date__lte=yesterday
).count()
if stale_tasks > 10:
alerts.append({
'level': 'info',
'icon': '',
'message': f'{stale_tasks} tasks pending for more than 24 hours',
'url': '/admin/writer/tasks/?status=pending',
'action': 'Review Tasks'
})
return alerts

View File

@@ -1,98 +1,8 @@
from django.contrib import admin
from django.contrib.admin.apps import AdminConfig
class ReadOnlyAdmin(admin.ModelAdmin):
"""Generic read-only admin for system tables."""
def has_add_permission(self, request):
return False
def has_change_permission(self, request, obj=None):
return False
def has_delete_permission(self, request, obj=None):
return False
def _safe_register(model, model_admin):
try:
admin.site.register(model, model_admin)
except admin.sites.AlreadyRegistered:
pass
class Igny8AdminConfig(AdminConfig):
default_site = 'igny8_core.admin.site.Igny8AdminSite'
name = 'django.contrib.admin'
def ready(self):
super().ready()
# Replace default admin.site with our custom Igny8AdminSite
# IMPORTANT: Must copy all registrations from old site to new site
# because models register themselves before ready() is called
from igny8_core.admin.site import admin_site
import django.contrib.admin as admin_module
# Copy all model registrations from the default site to our custom site
old_site = admin_module.site
admin_site._registry = old_site._registry.copy()
admin_site._actions = old_site._actions.copy()
admin_site._global_actions = old_site._global_actions.copy()
# CRITICAL: Update each ModelAdmin's admin_site attribute to point to our custom site
# Otherwise, each_context() will use the wrong admin site and miss our customizations
for model, model_admin in admin_site._registry.items():
model_admin.admin_site = admin_site
# Now replace the default site
admin_module.site = admin_site
admin_module.sites.site = admin_site
# Import Unfold AFTER apps are ready
from unfold.admin import ModelAdmin as UnfoldModelAdmin
# Register Django internals in admin (read-only where appropriate)
from django.contrib.admin.models import LogEntry
from django.contrib.auth.models import Group, Permission
from django.contrib.contenttypes.models import ContentType
from django.contrib.sessions.models import Session
_safe_register(LogEntry, ReadOnlyAdmin)
_safe_register(Permission, UnfoldModelAdmin)
_safe_register(Group, UnfoldModelAdmin)
_safe_register(ContentType, ReadOnlyAdmin)
_safe_register(Session, ReadOnlyAdmin)
# Import and setup enhanced Celery task monitoring
self._setup_celery_admin()
def _setup_celery_admin(self):
"""Setup enhanced Celery admin with proper unregister/register"""
try:
from django_celery_results.models import TaskResult, GroupResult
from igny8_core.admin.celery_admin import CeleryTaskResultAdmin, CeleryGroupResultAdmin
# Unregister the default TaskResult admin
try:
admin.site.unregister(TaskResult)
except admin.sites.NotRegistered:
pass
# Unregister the default GroupResult admin
try:
admin.site.unregister(GroupResult)
except admin.sites.NotRegistered:
pass
# Register our enhanced versions
admin.site.register(TaskResult, CeleryTaskResultAdmin)
admin.site.register(GroupResult, CeleryGroupResultAdmin)
except Exception as e:
# Log the error but don't crash the app
import logging
logger = logging.getLogger(__name__)
logger.warning(f"Could not setup enhanced Celery admin: {e}")

View File

@@ -107,86 +107,3 @@ class SiteSectorAdminMixin:
return obj.site in accessible_sites
return super().has_delete_permission(request, obj)
# ============================================================================
# Custom ModelAdmin for Sidebar Fix
# ============================================================================
from unfold.admin import ModelAdmin as UnfoldModelAdmin
class Igny8ModelAdmin(UnfoldModelAdmin):
"""
Custom ModelAdmin that ensures sidebar_navigation is set correctly on ALL pages
Django's ModelAdmin views don't call AdminSite.each_context(),
so we override them to inject our custom sidebar.
"""
def _inject_sidebar_context(self, request, extra_context=None):
"""Helper to inject custom sidebar into context"""
if extra_context is None:
extra_context = {}
# Get our custom sidebar from the admin site
from igny8_core.admin.site import admin_site
# CRITICAL: Get the full Unfold context (includes all branding, form classes, etc.)
# This is what makes the logo/title appear properly
unfold_context = admin_site.each_context(request)
# Get the current path to detect active group
current_path = request.path
sidebar_navigation = admin_site.get_sidebar_list(request)
# Detect active group and expand it by setting collapsible=False
for group in sidebar_navigation:
group_is_active = False
for item in group.get('items', []):
# Unfold stores resolved link in 'link_callback', original lambda in 'link'
item_link = item.get('link_callback') or item.get('link', '')
# Convert to string (handles lazy proxy objects and ensures it's a string)
try:
item_link = str(item_link) if item_link else ''
except:
item_link = ''
# Skip if it's a function representation (e.g., "<function ...>")
if item_link.startswith('<'):
continue
# Check if current path matches this item's link
if item_link and current_path.startswith(item_link):
item['active'] = True
group_is_active = True
# If any item in this group is active, expand the group
if group_is_active:
group['collapsible'] = False # Expanded state
else:
group['collapsible'] = True # Collapsed state
# Merge Unfold context with our custom sidebar
unfold_context['sidebar_navigation'] = sidebar_navigation
unfold_context['available_apps'] = admin_site.get_app_list(request, app_label=None)
unfold_context['app_list'] = unfold_context['available_apps']
# Merge with any existing extra_context
unfold_context.update(extra_context)
return unfold_context
def changelist_view(self, request, extra_context=None):
"""Override to inject custom sidebar"""
extra_context = self._inject_sidebar_context(request, extra_context)
return super().changelist_view(request, extra_context)
def change_view(self, request, object_id, form_url='', extra_context=None):
"""Override to inject custom sidebar"""
extra_context = self._inject_sidebar_context(request, extra_context)
return super().change_view(request, object_id, form_url, extra_context)
def add_view(self, request, form_url='', extra_context=None):
"""Override to inject custom sidebar"""
extra_context = self._inject_sidebar_context(request, extra_context)
return super().add_view(request, form_url, extra_context)

View File

@@ -1,213 +0,0 @@
"""
Celery Task Monitoring Admin - Unfold Style
"""
from django.contrib import admin
from django.utils.html import format_html
from django.contrib import messages
from django_celery_results.models import TaskResult, GroupResult
from unfold.admin import ModelAdmin
from unfold.contrib.filters.admin import RangeDateFilter
from celery import current_app
class CeleryTaskResultAdmin(ModelAdmin):
"""Admin interface for monitoring Celery tasks with Unfold styling"""
list_display = [
'task_id',
'task_name',
'colored_status',
'date_created',
'date_done',
'execution_time',
]
list_filter = [
'status',
'task_name',
('date_created', RangeDateFilter),
('date_done', RangeDateFilter),
]
search_fields = ['task_id', 'task_name', 'task_args']
readonly_fields = [
'task_id', 'task_name', 'task_args', 'task_kwargs',
'result', 'traceback', 'date_created', 'date_done',
'colored_status', 'execution_time'
]
date_hierarchy = 'date_created'
ordering = ['-date_created']
actions = ['retry_failed_tasks', 'clear_old_tasks']
fieldsets = (
('Task Information', {
'fields': ('task_id', 'task_name', 'colored_status')
}),
('Execution Details', {
'fields': ('date_created', 'date_done', 'execution_time')
}),
('Task Arguments', {
'fields': ('task_args', 'task_kwargs'),
'classes': ('collapse',)
}),
('Result & Errors', {
'fields': ('result', 'traceback'),
'classes': ('collapse',)
}),
)
def colored_status(self, obj):
"""Display status with color coding"""
colors = {
'SUCCESS': '#0bbf87', # IGNY8 success green
'FAILURE': '#ef4444', # IGNY8 danger red
'PENDING': '#ff7a00', # IGNY8 warning orange
'STARTED': '#0693e3', # IGNY8 primary blue
'RETRY': '#5d4ae3', # IGNY8 purple
}
color = colors.get(obj.status, '#64748b') # Default gray
return format_html(
'<span style="color: {}; font-weight: bold; font-size: 14px;">{}</span>',
color,
obj.status
)
colored_status.short_description = 'Status'
def execution_time(self, obj):
"""Calculate and display execution time"""
if obj.date_done and obj.date_created:
duration = obj.date_done - obj.date_created
seconds = duration.total_seconds()
if seconds < 1:
time_str = f'{seconds * 1000:.2f}ms'
return format_html('<span style="color: #0bbf87;">{}</span>', time_str)
elif seconds < 60:
time_str = f'{seconds:.2f}s'
return format_html('<span style="color: #0693e3;">{}</span>', time_str)
else:
minutes = seconds / 60
time_str = f'{minutes:.1f}m'
return format_html('<span style="color: #ff7a00;">{}</span>', time_str)
return '-'
execution_time.short_description = 'Duration'
def retry_failed_tasks(self, request, queryset):
"""Retry failed celery tasks by re-queuing them"""
from igny8_core.celery import app
import json
failed_tasks = queryset.filter(status='FAILURE')
count = 0
errors = []
for task in failed_tasks:
try:
# Get task function
task_func = current_app.tasks.get(task.task_name)
if task_func:
# Parse task args and kwargs
import ast
try:
args = ast.literal_eval(task.task_args) if task.task_args else []
kwargs = ast.literal_eval(task.task_kwargs) if task.task_kwargs else {}
except:
args = []
kwargs = {}
# Retry the task
task_func.apply_async(args=args, kwargs=kwargs)
count += 1
else:
errors.append(f'Task function not found: {task.task_name}')
except Exception as e:
errors.append(f'Error retrying {task.task_id}: {str(e)}')
if count > 0:
self.message_user(request, f'Successfully queued {count} task(s) for retry.', 'SUCCESS')
if errors:
for error in errors[:5]: # Show max 5 errors
self.message_user(request, f'Error: {error}', 'WARNING')
retry_failed_tasks.short_description = 'Retry Failed Tasks'
def clear_old_tasks(self, request, queryset):
"""Clear old completed tasks"""
from datetime import timedelta
from django.utils import timezone
# Delete tasks older than 30 days
cutoff_date = timezone.now() - timedelta(days=30)
old_tasks = queryset.filter(
date_created__lt=cutoff_date,
status__in=['SUCCESS', 'FAILURE']
)
count = old_tasks.count()
old_tasks.delete()
self.message_user(request, f'Cleared {count} old task(s)', messages.SUCCESS)
clear_old_tasks.short_description = 'Clear Old Tasks (30+ days)'
def has_add_permission(self, request):
"""Disable manual task creation"""
return False
def has_change_permission(self, request, obj=None):
"""Make read-only"""
return False
class CeleryGroupResultAdmin(ModelAdmin):
"""Admin interface for monitoring Celery group results with Unfold styling"""
list_display = [
'group_id',
'date_created',
'date_done',
'result_count',
]
list_filter = [
('date_created', RangeDateFilter),
('date_done', RangeDateFilter),
]
search_fields = ['group_id', 'result']
readonly_fields = [
'group_id', 'date_created', 'date_done', 'content_type',
'content_encoding', 'result'
]
date_hierarchy = 'date_created'
ordering = ['-date_created']
fieldsets = (
('Group Information', {
'fields': ('group_id', 'date_created', 'date_done')
}),
('Result Details', {
'fields': ('content_type', 'content_encoding', 'result'),
'classes': ('collapse',)
}),
)
def result_count(self, obj):
"""Count tasks in the group"""
if obj.result:
try:
import json
result_data = json.loads(obj.result) if isinstance(obj.result, str) else obj.result
if isinstance(result_data, list):
return len(result_data)
except:
pass
return '-'
result_count.short_description = 'Task Count'
def has_add_permission(self, request):
"""Disable manual group result creation"""
return False
def has_change_permission(self, request, obj=None):
"""Make read-only"""
return False

View File

@@ -1,189 +0,0 @@
"""
Custom Admin Dashboard with Key Metrics
"""
from django.contrib import admin
from django.shortcuts import render
from django.db.models import Count, Sum, Q
from django.utils import timezone
from datetime import timedelta
def admin_dashboard(request):
"""Custom admin dashboard with operational metrics"""
# Date ranges
today = timezone.now().date()
week_ago = today - timedelta(days=7)
month_ago = today - timedelta(days=30)
# Account metrics
from igny8_core.auth.models import Account, Site
total_accounts = Account.objects.count()
active_accounts = Account.objects.filter(status='active').count()
low_credit_accounts = Account.objects.filter(
status='active',
credits__lt=100
).count()
critical_credit_accounts = Account.objects.filter(
status='active',
credits__lt=10
).count()
# Site metrics
total_sites = Site.objects.count()
active_sites = Site.objects.filter(is_active=True, status='active').count()
# Content metrics
from igny8_core.modules.writer.models import Content, Tasks
content_this_week = Content.objects.filter(created_at__gte=week_ago).count()
content_this_month = Content.objects.filter(created_at__gte=month_ago).count()
tasks_pending = Tasks.objects.filter(status='pending').count()
tasks_in_progress = Tasks.objects.filter(status='in_progress').count()
# Billing metrics
from igny8_core.business.billing.models import Payment, CreditTransaction
pending_payments = Payment.objects.filter(status='pending_approval').count()
payments_this_month = Payment.objects.filter(
created_at__gte=month_ago,
status='succeeded'
).aggregate(total=Sum('amount'))['total'] or 0
credit_usage_this_month = CreditTransaction.objects.filter(
created_at__gte=month_ago,
transaction_type='deduction'
).aggregate(total=Sum('amount'))['total'] or 0
# Automation metrics
from igny8_core.business.automation.models import AutomationRun
automation_running = AutomationRun.objects.filter(status='running').count()
automation_failed = AutomationRun.objects.filter(
status='failed',
started_at__gte=week_ago
).count()
# Calculate success rate
total_runs = AutomationRun.objects.filter(started_at__gte=week_ago).count()
if total_runs > 0:
success_runs = AutomationRun.objects.filter(
started_at__gte=week_ago,
status='completed'
).count()
automation_success_rate = round((success_runs / total_runs) * 100, 1)
else:
automation_success_rate = 0
# WordPress sync metrics
from igny8_core.business.integration.models import SyncEvent
sync_failed_today = SyncEvent.objects.filter(
success=False,
created_at__date=today
).count()
sync_success_today = SyncEvent.objects.filter(
success=True,
created_at__date=today
).count()
# Celery task metrics
try:
from django_celery_results.models import TaskResult
celery_failed = TaskResult.objects.filter(
status='FAILURE',
date_created__gte=week_ago
).count()
celery_pending = TaskResult.objects.filter(status='PENDING').count()
except:
celery_failed = 0
celery_pending = 0
# Generate alerts
alerts = []
if critical_credit_accounts > 0:
alerts.append({
'level': 'error',
'message': f'{critical_credit_accounts} account(s) have CRITICAL low credits (< 10)',
'action': 'Review Accounts',
'url': '/admin/igny8_core_auth/account/?credits__lt=10'
})
if low_credit_accounts > 0:
alerts.append({
'level': 'warning',
'message': f'{low_credit_accounts} account(s) have low credits (< 100)',
'action': 'Review Accounts',
'url': '/admin/igny8_core_auth/account/?credits__lt=100'
})
if pending_payments > 0:
alerts.append({
'level': 'warning',
'message': f'{pending_payments} payment(s) awaiting approval',
'action': 'Approve Payments',
'url': '/admin/billing/payment/?status__exact=pending_approval'
})
if automation_failed > 5:
alerts.append({
'level': 'error',
'message': f'{automation_failed} automation runs failed this week',
'action': 'View Failed Runs',
'url': '/admin/automation/automationrun/?status__exact=failed'
})
if sync_failed_today > 0:
alerts.append({
'level': 'warning',
'message': f'{sync_failed_today} WordPress sync failure(s) today',
'action': 'View Sync Events',
'url': '/admin/integration/syncevent/?success__exact=0'
})
if celery_failed > 10:
alerts.append({
'level': 'error',
'message': f'{celery_failed} Celery tasks failed this week',
'action': 'View Failed Tasks',
'url': '/admin/django_celery_results/taskresult/?status__exact=FAILURE'
})
context = {
'title': 'IGNY8 Dashboard',
'site_title': 'IGNY8 Admin',
'site_header': 'IGNY8 Administration',
# Account metrics
'total_accounts': total_accounts,
'active_accounts': active_accounts,
'low_credit_accounts': low_credit_accounts,
'critical_credit_accounts': critical_credit_accounts,
# Site metrics
'total_sites': total_sites,
'active_sites': active_sites,
# Content metrics
'content_this_week': content_this_week,
'content_this_month': content_this_month,
'tasks_pending': tasks_pending,
'tasks_in_progress': tasks_in_progress,
# Billing metrics
'pending_payments': pending_payments,
'payments_this_month': float(payments_this_month),
'credit_usage_this_month': abs(float(credit_usage_this_month)),
# Automation metrics
'automation_running': automation_running,
'automation_failed': automation_failed,
'automation_success_rate': automation_success_rate,
# Integration metrics
'sync_failed_today': sync_failed_today,
'sync_success_today': sync_success_today,
# Celery metrics
'celery_failed': celery_failed,
'celery_pending': celery_pending,
# Alerts
'alerts': alerts,
}
# Merge with admin context to get sidebar and header
from igny8_core.admin.site import admin_site
admin_context = admin_site.each_context(request)
context.update(admin_context)
return render(request, 'admin/dashboard.html', context)

View File

@@ -1,406 +0,0 @@
"""
Admin Monitoring Module - System Health, API Monitor, Debug Console
Provides read-only monitoring and debugging tools for Django Admin
"""
from django.shortcuts import render
from django.contrib.admin.views.decorators import staff_member_required
from django.utils import timezone
from django.db import connection
from django.conf import settings
import time
import os
@staff_member_required
def system_health_dashboard(request):
"""
System infrastructure health monitoring
Checks: Database, Redis, Celery, File System
"""
context = {
'page_title': 'System Health Monitor',
'checked_at': timezone.now(),
'checks': []
}
# Database Check
db_check = {
'name': 'PostgreSQL Database',
'status': 'unknown',
'message': '',
'details': {}
}
try:
start = time.time()
with connection.cursor() as cursor:
cursor.execute("SELECT version()")
version = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM django_session")
session_count = cursor.fetchone()[0]
elapsed = (time.time() - start) * 1000
db_check.update({
'status': 'healthy',
'message': f'Connected ({elapsed:.2f}ms)',
'details': {
'version': version.split('\n')[0],
'response_time': f'{elapsed:.2f}ms',
'active_sessions': session_count
}
})
except Exception as e:
db_check.update({
'status': 'error',
'message': f'Connection failed: {str(e)}'
})
context['checks'].append(db_check)
# Redis Check
redis_check = {
'name': 'Redis Cache',
'status': 'unknown',
'message': '',
'details': {}
}
try:
import redis
r = redis.Redis(
host=settings.CACHES['default']['LOCATION'].split(':')[0] if ':' in settings.CACHES['default'].get('LOCATION', '') else 'redis',
port=6379,
db=0,
socket_connect_timeout=2
)
start = time.time()
r.ping()
elapsed = (time.time() - start) * 1000
info = r.info()
redis_check.update({
'status': 'healthy',
'message': f'Connected ({elapsed:.2f}ms)',
'details': {
'version': info.get('redis_version', 'unknown'),
'uptime': f"{info.get('uptime_in_seconds', 0) // 3600}h",
'connected_clients': info.get('connected_clients', 0),
'used_memory': f"{info.get('used_memory_human', 'unknown')}",
'response_time': f'{elapsed:.2f}ms'
}
})
except Exception as e:
redis_check.update({
'status': 'error',
'message': f'Connection failed: {str(e)}'
})
context['checks'].append(redis_check)
# Celery Workers Check
celery_check = {
'name': 'Celery Workers',
'status': 'unknown',
'message': '',
'details': {}
}
try:
from igny8_core.celery import app
inspect = app.control.inspect(timeout=2)
stats = inspect.stats()
active = inspect.active()
if stats:
worker_count = len(stats)
total_tasks = sum(len(tasks) for tasks in active.values()) if active else 0
celery_check.update({
'status': 'healthy',
'message': f'{worker_count} worker(s) active',
'details': {
'workers': worker_count,
'active_tasks': total_tasks,
'worker_names': list(stats.keys())
}
})
else:
celery_check.update({
'status': 'warning',
'message': 'No workers responding'
})
except Exception as e:
celery_check.update({
'status': 'error',
'message': f'Check failed: {str(e)}'
})
context['checks'].append(celery_check)
# File System Check
fs_check = {
'name': 'File System',
'status': 'unknown',
'message': '',
'details': {}
}
try:
import shutil
media_root = settings.MEDIA_ROOT
static_root = settings.STATIC_ROOT
media_stat = shutil.disk_usage(media_root) if os.path.exists(media_root) else None
if media_stat:
free_gb = media_stat.free / (1024**3)
total_gb = media_stat.total / (1024**3)
used_percent = (media_stat.used / media_stat.total) * 100
fs_check.update({
'status': 'healthy' if used_percent < 90 else 'warning',
'message': f'{free_gb:.1f}GB free of {total_gb:.1f}GB',
'details': {
'media_root': media_root,
'free_space': f'{free_gb:.1f}GB',
'total_space': f'{total_gb:.1f}GB',
'used_percent': f'{used_percent:.1f}%'
}
})
else:
fs_check.update({
'status': 'warning',
'message': 'Media directory not found'
})
except Exception as e:
fs_check.update({
'status': 'error',
'message': f'Check failed: {str(e)}'
})
context['checks'].append(fs_check)
# Overall system status
statuses = [check['status'] for check in context['checks']]
if 'error' in statuses:
context['overall_status'] = 'error'
context['overall_message'] = 'System has errors'
elif 'warning' in statuses:
context['overall_status'] = 'warning'
context['overall_message'] = 'System has warnings'
else:
context['overall_status'] = 'healthy'
context['overall_message'] = 'All systems operational'
return render(request, 'admin/monitoring/system_health.html', context)
@staff_member_required
def api_monitor_dashboard(request):
"""
API endpoint health monitoring
Tests key endpoints and displays response times
"""
from django.test.client import Client
context = {
'page_title': 'API Monitor',
'checked_at': timezone.now(),
'endpoint_groups': []
}
# Define endpoint groups to check
endpoint_configs = [
{
'name': 'Authentication',
'endpoints': [
{'path': '/api/v1/auth/check/', 'method': 'GET', 'auth_required': False},
]
},
{
'name': 'System Settings',
'endpoints': [
{'path': '/api/v1/system/health/', 'method': 'GET', 'auth_required': False},
]
},
{
'name': 'Planner Module',
'endpoints': [
{'path': '/api/v1/planner/keywords/', 'method': 'GET', 'auth_required': True},
]
},
{
'name': 'Writer Module',
'endpoints': [
{'path': '/api/v1/writer/tasks/', 'method': 'GET', 'auth_required': True},
]
},
{
'name': 'Billing',
'endpoints': [
{'path': '/api/v1/billing/credits/balance/', 'method': 'GET', 'auth_required': True},
]
},
]
client = Client()
for group_config in endpoint_configs:
group_results = {
'name': group_config['name'],
'endpoints': []
}
for endpoint in group_config['endpoints']:
result = {
'path': endpoint['path'],
'method': endpoint['method'],
'status': 'unknown',
'status_code': None,
'response_time': None,
'message': ''
}
try:
start = time.time()
if endpoint['method'] == 'GET':
response = client.get(endpoint['path'])
else:
response = client.post(endpoint['path'])
elapsed = (time.time() - start) * 1000
result.update({
'status_code': response.status_code,
'response_time': f'{elapsed:.2f}ms',
})
# Determine status
if response.status_code < 300:
result['status'] = 'healthy'
result['message'] = 'OK'
elif response.status_code == 401 and endpoint.get('auth_required'):
result['status'] = 'healthy'
result['message'] = 'Auth required (expected)'
elif response.status_code < 500:
result['status'] = 'warning'
result['message'] = 'Client error'
else:
result['status'] = 'error'
result['message'] = 'Server error'
except Exception as e:
result.update({
'status': 'error',
'message': str(e)[:100]
})
group_results['endpoints'].append(result)
context['endpoint_groups'].append(group_results)
# Calculate overall stats
all_endpoints = [ep for group in context['endpoint_groups'] for ep in group['endpoints']]
total = len(all_endpoints)
healthy = len([ep for ep in all_endpoints if ep['status'] == 'healthy'])
warnings = len([ep for ep in all_endpoints if ep['status'] == 'warning'])
errors = len([ep for ep in all_endpoints if ep['status'] == 'error'])
context['stats'] = {
'total': total,
'healthy': healthy,
'warnings': warnings,
'errors': errors,
'health_percentage': (healthy / total * 100) if total > 0 else 0
}
return render(request, 'admin/monitoring/api_monitor.html', context)
@staff_member_required
def debug_console(request):
"""
System debug information (read-only)
Shows environment, database config, cache config, etc.
"""
context = {
'page_title': 'Debug Console',
'checked_at': timezone.now(),
'sections': []
}
# Environment Variables Section
env_section = {
'title': 'Environment',
'items': {
'DEBUG': settings.DEBUG,
'ENVIRONMENT': os.getenv('ENVIRONMENT', 'not set'),
'DJANGO_SETTINGS_MODULE': os.getenv('DJANGO_SETTINGS_MODULE', 'not set'),
'ALLOWED_HOSTS': settings.ALLOWED_HOSTS,
'TIME_ZONE': settings.TIME_ZONE,
'USE_TZ': settings.USE_TZ,
}
}
context['sections'].append(env_section)
# Database Configuration
db_config = settings.DATABASES.get('default', {})
db_section = {
'title': 'Database Configuration',
'items': {
'ENGINE': db_config.get('ENGINE', 'not set'),
'NAME': db_config.get('NAME', 'not set'),
'HOST': db_config.get('HOST', 'not set'),
'PORT': db_config.get('PORT', 'not set'),
'CONN_MAX_AGE': db_config.get('CONN_MAX_AGE', 'not set'),
}
}
context['sections'].append(db_section)
# Cache Configuration
cache_config = settings.CACHES.get('default', {})
cache_section = {
'title': 'Cache Configuration',
'items': {
'BACKEND': cache_config.get('BACKEND', 'not set'),
'LOCATION': cache_config.get('LOCATION', 'not set'),
'KEY_PREFIX': cache_config.get('KEY_PREFIX', 'not set'),
}
}
context['sections'].append(cache_section)
# Celery Configuration
celery_section = {
'title': 'Celery Configuration',
'items': {
'BROKER_URL': getattr(settings, 'CELERY_BROKER_URL', 'not set'),
'RESULT_BACKEND': getattr(settings, 'CELERY_RESULT_BACKEND', 'not set'),
'TASK_ALWAYS_EAGER': getattr(settings, 'CELERY_TASK_ALWAYS_EAGER', False),
}
}
context['sections'].append(celery_section)
# Media & Static Files
files_section = {
'title': 'Media & Static Files',
'items': {
'MEDIA_ROOT': settings.MEDIA_ROOT,
'MEDIA_URL': settings.MEDIA_URL,
'STATIC_ROOT': settings.STATIC_ROOT,
'STATIC_URL': settings.STATIC_URL,
}
}
context['sections'].append(files_section)
# Installed Apps (count)
apps_section = {
'title': 'Installed Applications',
'items': {
'Total Apps': len(settings.INSTALLED_APPS),
'Custom Apps': len([app for app in settings.INSTALLED_APPS if app.startswith('igny8_')]),
}
}
context['sections'].append(apps_section)
# Middleware (count)
middleware_section = {
'title': 'Middleware',
'items': {
'Total Middleware': len(settings.MIDDLEWARE),
}
}
context['sections'].append(middleware_section)
return render(request, 'admin/monitoring/debug_console.html', context)

View File

@@ -1,617 +0,0 @@
"""
Analytics & Reporting Views for IGNY8 Admin
"""
from django.contrib.admin.views.decorators import staff_member_required
from django.shortcuts import render
from django.db.models import Count, Sum, Avg, Q
from django.utils import timezone
from datetime import timedelta
import json
@staff_member_required
def revenue_report(request):
"""Revenue and billing analytics"""
from igny8_core.business.billing.models import Payment
from igny8_core.auth.models import Plan
# Date ranges
today = timezone.now()
months = []
monthly_revenue = []
for i in range(6):
month_start = today.replace(day=1) - timedelta(days=30*i)
month_end = month_start.replace(day=28) + timedelta(days=4)
revenue = Payment.objects.filter(
status='succeeded',
processed_at__gte=month_start,
processed_at__lt=month_end
).aggregate(total=Sum('amount'))['total'] or 0
months.insert(0, month_start.strftime('%b %Y'))
monthly_revenue.insert(0, float(revenue))
# Plan distribution
plan_distribution = Plan.objects.annotate(
account_count=Count('accounts')
).values('name', 'account_count')
# Payment method breakdown
payment_methods = Payment.objects.filter(
status='succeeded'
).values('payment_method').annotate(
count=Count('id'),
total=Sum('amount')
).order_by('-total')
# Total revenue all time
total_revenue = Payment.objects.filter(
status='succeeded'
).aggregate(total=Sum('amount'))['total'] or 0
context = {
'title': 'Revenue Report',
'months': json.dumps(months),
'monthly_revenue': json.dumps(monthly_revenue),
'plan_distribution': list(plan_distribution),
'payment_methods': list(payment_methods),
'total_revenue': float(total_revenue),
}
# Merge with admin context
from igny8_core.admin.site import admin_site
admin_context = admin_site.each_context(request)
context.update(admin_context)
return render(request, 'admin/reports/revenue.html', context)
@staff_member_required
def usage_report(request):
"""Credit usage and AI operations analytics"""
from igny8_core.business.billing.models import CreditUsageLog
# Usage by operation type
usage_by_operation = CreditUsageLog.objects.values(
'operation_type'
).annotate(
total_credits=Sum('credits_used'),
total_cost=Sum('cost_usd'),
operation_count=Count('id')
).order_by('-total_credits')
# Format operation types as Title Case
for usage in usage_by_operation:
usage['operation_type'] = usage['operation_type'].replace('_', ' ').title() if usage['operation_type'] else 'Unknown'
# Top credit consumers
top_consumers = CreditUsageLog.objects.values(
'account__name'
).annotate(
total_credits=Sum('credits_used'),
operation_count=Count('id')
).order_by('-total_credits')[:10]
# Model usage distribution
model_usage = CreditUsageLog.objects.values(
'model_used'
).annotate(
usage_count=Count('id')
).order_by('-usage_count')
# Total credits used
total_credits = CreditUsageLog.objects.aggregate(
total=Sum('credits_used')
)['total'] or 0
context = {
'title': 'Usage Report',
'usage_by_operation': list(usage_by_operation),
'top_consumers': list(top_consumers),
'model_usage': list(model_usage),
'total_credits': int(total_credits),
}
# Merge with admin context
from igny8_core.admin.site import admin_site
admin_context = admin_site.each_context(request)
context.update(admin_context)
return render(request, 'admin/reports/usage.html', context)
@staff_member_required
def content_report(request):
"""Content production analytics"""
from igny8_core.modules.writer.models import Content, Tasks
# Content by type
content_by_type = Content.objects.values(
'content_type'
).annotate(count=Count('id')).order_by('-count')
# Production timeline (last 30 days)
days = []
daily_counts = []
for i in range(30):
day = timezone.now().date() - timedelta(days=i)
count = Content.objects.filter(created_at__date=day).count()
days.insert(0, day.strftime('%m/%d'))
daily_counts.insert(0, count)
# Average word count by content type
avg_words = Content.objects.values('content_type').annotate(
avg_words=Avg('word_count')
).order_by('-avg_words')
# Task completion rate
total_tasks = Tasks.objects.count()
completed_tasks = Tasks.objects.filter(status='completed').count()
completion_rate = (completed_tasks / total_tasks * 100) if total_tasks > 0 else 0
# Total content produced
total_content = Content.objects.count()
context = {
'title': 'Content Production Report',
'content_by_type': list(content_by_type),
'days': json.dumps(days),
'daily_counts': json.dumps(daily_counts),
'avg_words': list(avg_words),
'completion_rate': round(completion_rate, 1),
'total_content': total_content,
'total_tasks': total_tasks,
'completed_tasks': completed_tasks,
}
# Merge with admin context
from igny8_core.admin.site import admin_site
admin_context = admin_site.each_context(request)
context.update(admin_context)
return render(request, 'admin/reports/content.html', context)
@staff_member_required
def data_quality_report(request):
"""Check data quality and integrity"""
issues = []
# Orphaned content (no site)
from igny8_core.modules.writer.models import Content
orphaned_content = Content.objects.filter(site__isnull=True).count()
if orphaned_content > 0:
issues.append({
'severity': 'warning',
'type': 'Orphaned Records',
'count': orphaned_content,
'description': 'Content items without assigned site',
'action_url': '/admin/writer/content/?site__isnull=True'
})
# Tasks without clusters
from igny8_core.modules.writer.models import Tasks
tasks_no_cluster = Tasks.objects.filter(cluster__isnull=True).count()
if tasks_no_cluster > 0:
issues.append({
'severity': 'info',
'type': 'Missing Relationships',
'count': tasks_no_cluster,
'description': 'Tasks without assigned cluster',
'action_url': '/admin/writer/tasks/?cluster__isnull=True'
})
# Accounts with negative credits
from igny8_core.auth.models import Account
negative_credits = Account.objects.filter(credits__lt=0).count()
if negative_credits > 0:
issues.append({
'severity': 'error',
'type': 'Data Integrity',
'count': negative_credits,
'description': 'Accounts with negative credit balance',
'action_url': '/admin/igny8_core_auth/account/?credits__lt=0'
})
# Duplicate keywords
from igny8_core.modules.planner.models import Keywords
duplicates = Keywords.objects.values('seed_keyword', 'site', 'sector').annotate(
count=Count('id')
).filter(count__gt=1).count()
if duplicates > 0:
issues.append({
'severity': 'warning',
'type': 'Duplicates',
'count': duplicates,
'description': 'Duplicate keywords for same site/sector',
'action_url': '/admin/planner/keywords/'
})
# Content without SEO data
no_seo = Content.objects.filter(
Q(meta_title__isnull=True) | Q(meta_title='') |
Q(meta_description__isnull=True) | Q(meta_description='')
).count()
if no_seo > 0:
issues.append({
'severity': 'info',
'type': 'Incomplete Data',
'count': no_seo,
'description': 'Content missing SEO metadata',
'action_url': '/admin/writer/content/'
})
context = {
'title': 'Data Quality Report',
'issues': issues,
'total_issues': len(issues),
}
# Merge with admin context
from igny8_core.admin.site import admin_site
admin_context = admin_site.each_context(request)
context.update(admin_context)
return render(request, 'admin/reports/data_quality.html', context)
@staff_member_required
def token_usage_report(request):
"""Comprehensive token usage analytics with multi-dimensional insights"""
from igny8_core.business.billing.models import CreditUsageLog
from igny8_core.auth.models import Account
from decimal import Decimal
# Date filter setup
days_filter = request.GET.get('days', '30')
try:
days = int(days_filter)
except ValueError:
days = 30
start_date = timezone.now() - timedelta(days=days)
# Base queryset - include all records (tokens may be 0 for historical data)
logs = CreditUsageLog.objects.filter(
created_at__gte=start_date
)
# Total statistics
total_tokens_input = logs.aggregate(total=Sum('tokens_input'))['total'] or 0
total_tokens_output = logs.aggregate(total=Sum('tokens_output'))['total'] or 0
total_tokens = total_tokens_input + total_tokens_output
total_calls = logs.count()
avg_tokens_per_call = total_tokens / total_calls if total_calls > 0 else 0
# Token usage by model
token_by_model = logs.values('model_used').annotate(
total_tokens_input=Sum('tokens_input'),
total_tokens_output=Sum('tokens_output'),
call_count=Count('id'),
total_cost=Sum('cost_usd')
).order_by('-total_tokens_input')[:10]
# Add total_tokens to each model and sort by total
for model in token_by_model:
model['total_tokens'] = (model['total_tokens_input'] or 0) + (model['total_tokens_output'] or 0)
model['avg_tokens'] = model['total_tokens'] / model['call_count'] if model['call_count'] > 0 else 0
model['model'] = model['model_used'] # Add alias for template
token_by_model = sorted(token_by_model, key=lambda x: x['total_tokens'], reverse=True)
# Token usage by function/operation
token_by_function = logs.values('operation_type').annotate(
total_tokens_input=Sum('tokens_input'),
total_tokens_output=Sum('tokens_output'),
call_count=Count('id'),
total_cost=Sum('cost_usd')
).order_by('-total_tokens_input')[:10]
# Add total_tokens to each function and sort by total
for func in token_by_function:
func['total_tokens'] = (func['total_tokens_input'] or 0) + (func['total_tokens_output'] or 0)
func['avg_tokens'] = func['total_tokens'] / func['call_count'] if func['call_count'] > 0 else 0
# Format operation_type as Title Case
func['function'] = func['operation_type'].replace('_', ' ').title() if func['operation_type'] else 'Unknown'
token_by_function = sorted(token_by_function, key=lambda x: x['total_tokens'], reverse=True)
# Token usage by account (top consumers)
token_by_account = logs.values('account__name', 'account_id').annotate(
total_tokens_input=Sum('tokens_input'),
total_tokens_output=Sum('tokens_output'),
call_count=Count('id'),
total_cost=Sum('cost_usd')
).order_by('-total_tokens_input')[:15]
# Add total_tokens to each account and sort by total
for account in token_by_account:
account['total_tokens'] = (account['total_tokens_input'] or 0) + (account['total_tokens_output'] or 0)
token_by_account = sorted(token_by_account, key=lambda x: x['total_tokens'], reverse=True)[:15]
# Daily token trends (time series)
daily_data = []
daily_labels = []
for i in range(days):
day = timezone.now().date() - timedelta(days=days-i-1)
day_logs = logs.filter(created_at__date=day)
day_tokens_input = day_logs.aggregate(total=Sum('tokens_input'))['total'] or 0
day_tokens_output = day_logs.aggregate(total=Sum('tokens_output'))['total'] or 0
day_tokens = day_tokens_input + day_tokens_output
daily_labels.append(day.strftime('%m/%d'))
daily_data.append(int(day_tokens))
# Token efficiency metrics (CreditUsageLog doesn't have error field, so assume all successful)
success_rate = 100.0
successful_tokens = total_tokens
wasted_tokens = 0
# Create tokens_by_status for template compatibility
tokens_by_status = [{
'error': None,
'total_tokens': total_tokens,
'call_count': total_calls,
'avg_tokens': avg_tokens_per_call
}]
# Peak usage times (hour of day)
hourly_usage = logs.extra(
select={'hour': "EXTRACT(hour FROM created_at)"}
).values('hour').annotate(
token_input=Sum('tokens_input'),
token_output=Sum('tokens_output'),
call_count=Count('id')
).order_by('hour')
# Add total token_count for each hour
for hour_data in hourly_usage:
hour_data['token_count'] = (hour_data['token_input'] or 0) + (hour_data['token_output'] or 0)
# Cost efficiency
total_cost = logs.aggregate(total=Sum('cost_usd'))['total'] or Decimal('0.00')
cost_per_1k_tokens = float(total_cost) / (total_tokens / 1000) if total_tokens > 0 else 0.0
context = {
'title': 'Token Usage Report',
'days_filter': days,
'total_tokens': int(total_tokens),
'total_calls': total_calls,
'avg_tokens_per_call': round(avg_tokens_per_call, 2),
'token_by_model': list(token_by_model),
'token_by_function': list(token_by_function),
'token_by_account': list(token_by_account),
'daily_labels': json.dumps(daily_labels),
'daily_data': json.dumps(daily_data),
'tokens_by_status': list(tokens_by_status),
'success_rate': round(success_rate, 2),
'successful_tokens': int(successful_tokens),
'wasted_tokens': int(wasted_tokens),
'hourly_usage': list(hourly_usage),
'total_cost': float(total_cost),
'cost_per_1k_tokens': float(cost_per_1k_tokens),
'current_app': '_reports', # For active menu state
}
# Merge with admin context
from igny8_core.admin.site import admin_site
admin_context = admin_site.each_context(request)
context.update(admin_context)
return render(request, 'admin/reports/token_usage.html', context)
@staff_member_required
def ai_cost_analysis(request):
"""Multi-dimensional AI cost analysis with model pricing, trends, and predictions"""
from igny8_core.business.billing.models import CreditUsageLog
from igny8_core.auth.models import Account
from decimal import Decimal
# Date filter setup
days_filter = request.GET.get('days', '30')
try:
days = int(days_filter)
except ValueError:
days = 30
start_date = timezone.now() - timedelta(days=days)
# Base queryset - filter for records with cost data
logs = CreditUsageLog.objects.filter(
created_at__gte=start_date,
cost_usd__isnull=False
)
# Overall cost metrics
total_cost = logs.aggregate(total=Sum('cost_usd'))['total'] or Decimal('0.00')
total_calls = logs.count()
avg_cost_per_call = logs.aggregate(avg=Avg('cost_usd'))['avg'] or Decimal('0.00')
total_tokens_input = logs.aggregate(total=Sum('tokens_input'))['total'] or 0
total_tokens_output = logs.aggregate(total=Sum('tokens_output'))['total'] or 0
total_tokens = total_tokens_input + total_tokens_output
# Revenue & Margin calculation
from igny8_core.business.billing.models import BillingConfiguration
billing_config = BillingConfiguration.get_config()
total_credits_charged = logs.aggregate(total=Sum('credits_used'))['total'] or 0
total_revenue = Decimal(total_credits_charged) * billing_config.default_credit_price_usd
total_margin = total_revenue - total_cost
margin_percentage = float((total_margin / total_revenue * 100) if total_revenue > 0 else 0)
# Per-unit margins
# Calculate per 1M tokens (margin per million tokens)
margin_per_1m_tokens = float(total_margin) / (total_tokens / 1_000_000) if total_tokens > 0 else 0
# Calculate per 1K credits (margin per thousand credits)
margin_per_1k_credits = float(total_margin) / (total_credits_charged / 1000) if total_credits_charged > 0 else 0
# Cost by model with efficiency metrics
cost_by_model = logs.values('model_used').annotate(
total_cost=Sum('cost_usd'),
call_count=Count('id'),
avg_cost=Avg('cost_usd'),
total_tokens_input=Sum('tokens_input'),
total_tokens_output=Sum('tokens_output')
).order_by('-total_cost')
# Add cost efficiency and margin for each model
for model in cost_by_model:
model['total_tokens'] = (model['total_tokens_input'] or 0) + (model['total_tokens_output'] or 0)
model['avg_tokens'] = model['total_tokens'] / model['call_count'] if model['call_count'] > 0 else 0
model['model'] = model['model_used'] # Add alias for template
if model['total_tokens'] and model['total_tokens'] > 0:
model['cost_per_1k_tokens'] = float(model['total_cost']) / (model['total_tokens'] / 1000)
else:
model['cost_per_1k_tokens'] = 0
# Calculate margin for this model
model_credits = logs.filter(model_used=model['model_used']).aggregate(total=Sum('credits_used'))['total'] or 0
model_revenue = Decimal(model_credits) * billing_config.default_credit_price_usd
model_margin = model_revenue - model['total_cost']
model['revenue'] = float(model_revenue)
model['margin'] = float(model_margin)
model['margin_percentage'] = float((model_margin / model_revenue * 100) if model_revenue > 0 else 0)
# Cost by account (top spenders)
cost_by_account = logs.values('account__name', 'account_id').annotate(
total_cost=Sum('cost_usd'),
call_count=Count('id'),
total_tokens_input=Sum('tokens_input'),
total_tokens_output=Sum('tokens_output'),
avg_cost=Avg('cost_usd')
).order_by('-total_cost')[:15]
# Add total_tokens to each account
for account in cost_by_account:
account['total_tokens'] = (account['total_tokens_input'] or 0) + (account['total_tokens_output'] or 0)
# Cost by function/operation
cost_by_function = logs.values('operation_type').annotate(
total_cost=Sum('cost_usd'),
call_count=Count('id'),
avg_cost=Avg('cost_usd'),
total_tokens_input=Sum('tokens_input'),
total_tokens_output=Sum('tokens_output')
).order_by('-total_cost')[:10]
# Add total_tokens, function alias, and margin
for func in cost_by_function:
func['total_tokens'] = (func['total_tokens_input'] or 0) + (func['total_tokens_output'] or 0)
# Format operation_type as Title Case
func['function'] = func['operation_type'].replace('_', ' ').title() if func['operation_type'] else 'Unknown'
# Calculate margin for this operation
func_credits = logs.filter(operation_type=func['operation_type']).aggregate(total=Sum('credits_used'))['total'] or 0
func_revenue = Decimal(func_credits) * billing_config.default_credit_price_usd
func_margin = func_revenue - func['total_cost']
func['revenue'] = float(func_revenue)
func['margin'] = float(func_margin)
func['margin_percentage'] = float((func_margin / func_revenue * 100) if func_revenue > 0 else 0)
# Daily cost trends (time series)
daily_cost_data = []
daily_cost_labels = []
daily_call_data = []
for i in range(days):
day = timezone.now().date() - timedelta(days=days-i-1)
day_logs = logs.filter(created_at__date=day)
day_cost = day_logs.aggregate(total=Sum('cost_usd'))['total'] or Decimal('0.00')
day_calls = day_logs.count()
daily_cost_labels.append(day.strftime('%m/%d'))
daily_cost_data.append(float(day_cost))
daily_call_data.append(day_calls)
# Cost prediction (simple linear extrapolation)
if len(daily_cost_data) > 7:
recent_avg_daily = sum(daily_cost_data[-7:]) / 7
projected_monthly = recent_avg_daily * 30
else:
projected_monthly = 0
# Failed requests cost (CreditUsageLog doesn't track errors, so no failed cost)
failed_cost = Decimal('0.00')
# Cost anomalies (calls costing > 3x average)
if avg_cost_per_call > 0:
anomaly_threshold = float(avg_cost_per_call) * 3
anomalies = logs.filter(cost_usd__gt=anomaly_threshold).values(
'model_used', 'operation_type', 'account__name', 'cost_usd', 'tokens_input', 'tokens_output', 'created_at'
).order_by('-cost_usd')[:10]
# Add aliases and calculate total tokens for each anomaly
for anomaly in anomalies:
anomaly['model'] = anomaly['model_used']
# Format operation_type as Title Case
anomaly['function'] = anomaly['operation_type'].replace('_', ' ').title() if anomaly['operation_type'] else 'Unknown'
anomaly['cost'] = anomaly['cost_usd']
anomaly['tokens'] = (anomaly['tokens_input'] or 0) + (anomaly['tokens_output'] or 0)
else:
anomalies = []
# Model comparison matrix
model_comparison = []
for model_data in cost_by_model:
model_name = model_data['model']
model_comparison.append({
'model': model_name,
'total_cost': float(model_data['total_cost']),
'calls': model_data['call_count'],
'avg_cost': float(model_data['avg_cost']),
'total_tokens': model_data['total_tokens'],
'cost_per_1k': model_data['cost_per_1k_tokens'],
})
# Cost distribution percentages
if total_cost > 0:
for item in cost_by_model:
item['cost_percentage'] = float((item['total_cost'] / total_cost) * 100)
# Peak cost hours
hourly_cost = logs.extra(
select={'hour': "EXTRACT(hour FROM created_at)"}
).values('hour').annotate(
total_cost=Sum('cost_usd'),
call_count=Count('id')
).order_by('hour')
# Cost efficiency score (CreditUsageLog doesn't track errors, assume all successful)
successful_cost = total_cost
efficiency_score = 100.0
context = {
'title': 'AI Cost & Margin Analysis',
'days_filter': days,
'total_cost': float(total_cost),
'total_revenue': float(total_revenue),
'total_margin': float(total_margin),
'margin_percentage': round(margin_percentage, 2),
'margin_per_1m_tokens': round(margin_per_1m_tokens, 4),
'margin_per_1k_credits': round(margin_per_1k_credits, 4),
'total_credits_charged': total_credits_charged,
'credit_price': float(billing_config.default_credit_price_usd),
'total_calls': total_calls,
'avg_cost_per_call': float(avg_cost_per_call),
'total_tokens': int(total_tokens),
'cost_by_model': list(cost_by_model),
'cost_by_account': list(cost_by_account),
'cost_by_function': list(cost_by_function),
'daily_cost_labels': json.dumps(daily_cost_labels),
'daily_cost_data': json.dumps(daily_cost_data),
'daily_call_data': json.dumps(daily_call_data),
'projected_monthly': round(projected_monthly, 2),
'failed_cost': float(failed_cost),
'wasted_percentage': float((failed_cost / total_cost * 100) if total_cost > 0 else 0),
'anomalies': list(anomalies),
'model_comparison': model_comparison,
'hourly_cost': list(hourly_cost),
'efficiency_score': round(efficiency_score, 2),
'successful_cost': float(successful_cost),
'current_app': '_reports', # For active menu state
}
# Merge with admin context
from igny8_core.admin.site import admin_site
admin_context = admin_site.each_context(request)
context.update(admin_context)
return render(request, 'admin/reports/ai_cost_analysis.html', context)

View File

@@ -1,63 +1,134 @@
"""
Custom AdminSite for IGNY8 using Unfold theme.
SIMPLIFIED VERSION - Navigation is now handled via UNFOLD settings in settings.py
This file only handles:
1. Custom URLs for dashboard, reports, and monitoring pages
2. Index redirect to dashboard
All sidebar navigation is configured in settings.py under UNFOLD["SIDEBAR"]["navigation"]
Custom AdminSite for IGNY8 to organize models into proper groups
"""
from django.contrib import admin
from django.urls import path
from django.shortcuts import redirect
from unfold.sites import UnfoldAdminSite
from django.contrib.admin.apps import AdminConfig
from django.apps import apps
class Igny8AdminSite(UnfoldAdminSite):
class Igny8AdminSite(admin.AdminSite):
"""
Custom AdminSite based on Unfold.
Navigation is handled via UNFOLD settings - this just adds custom URLs.
Custom AdminSite that organizes models into the planned groups:
1. Billing & Tenancy
2. Sites & Users
3. Global Reference Data
4. Planner
5. Writer Module
6. Thinker Module
7. System Configuration
"""
site_header = 'IGNY8 Administration'
site_title = 'IGNY8 Admin'
index_title = 'IGNY8 Administration'
def get_urls(self):
"""Add custom URLs for dashboard, reports, and monitoring pages"""
from .dashboard import admin_dashboard
from .reports import (
revenue_report, usage_report, content_report, data_quality_report,
token_usage_report, ai_cost_analysis
)
from .monitoring import (
system_health_dashboard, api_monitor_dashboard, debug_console
)
urls = super().get_urls()
custom_urls = [
# Dashboard
path('dashboard/', self.admin_view(admin_dashboard), name='dashboard'),
# Reports
path('reports/revenue/', self.admin_view(revenue_report), name='report_revenue'),
path('reports/usage/', self.admin_view(usage_report), name='report_usage'),
path('reports/content/', self.admin_view(content_report), name='report_content'),
path('reports/data-quality/', self.admin_view(data_quality_report), name='report_data_quality'),
path('reports/token-usage/', self.admin_view(token_usage_report), name='report_token_usage'),
path('reports/ai-cost-analysis/', self.admin_view(ai_cost_analysis), name='report_ai_cost_analysis'),
# Monitoring
path('monitoring/system-health/', self.admin_view(system_health_dashboard), name='monitoring_system_health'),
path('monitoring/api-monitor/', self.admin_view(api_monitor_dashboard), name='monitoring_api_monitor'),
path('monitoring/debug-console/', self.admin_view(debug_console), name='monitoring_debug_console'),
def get_app_list(self, request):
"""
Customize the app list to organize models into proper groups
"""
# Get the default app list
app_dict = self._build_app_dict(request)
# Define our custom groups with their models (using object_name)
custom_groups = {
'Billing & Tenancy': {
'models': [
('igny8_core_auth', 'Plan'),
('igny8_core_auth', 'Account'),
('igny8_core_auth', 'Subscription'),
('billing', 'CreditTransaction'),
('billing', 'CreditUsageLog'),
],
},
'Sites & Users': {
'models': [
('igny8_core_auth', 'Site'),
('igny8_core_auth', 'User'),
('igny8_core_auth', 'SiteUserAccess'),
('igny8_core_auth', 'PasswordResetToken'),
],
},
'Global Reference Data': {
'models': [
('igny8_core_auth', 'Industry'),
('igny8_core_auth', 'IndustrySector'),
('igny8_core_auth', 'SeedKeyword'),
],
},
'Planner': {
'models': [
('planner', 'Keywords'),
('planner', 'Clusters'),
('planner', 'ContentIdeas'),
],
},
'Writer Module': {
'models': [
('writer', 'Tasks'),
('writer', 'Content'),
('writer', 'Images'),
],
},
'Thinker Module': {
'models': [
('system', 'AIPrompt'),
('system', 'AuthorProfile'),
('system', 'Strategy'),
],
},
'System Configuration': {
'models': [
('system', 'IntegrationSettings'),
('system', 'SystemLog'),
('system', 'SystemStatus'),
('system', 'SystemSettings'),
('system', 'AccountSettings'),
('system', 'UserSettings'),
('system', 'ModuleSettings'),
('system', 'AISettings'),
],
},
}
# Build the custom app list
app_list = []
for group_name, group_config in custom_groups.items():
group_models = []
for app_label, model_name in group_config['models']:
# Find the model in app_dict
if app_label in app_dict:
app_data = app_dict[app_label]
# Look for the model in the app's models
for model in app_data.get('models', []):
if model['object_name'] == model_name:
group_models.append(model)
break
# Only add the group if it has models
if group_models:
app_list.append({
'name': group_name,
'app_label': group_name.lower().replace(' ', '_').replace('&', ''),
'app_url': None,
'has_module_perms': True,
'models': group_models,
})
# Sort the app list by our custom order
order = [
'Billing & Tenancy',
'Sites & Users',
'Global Reference Data',
'Planner',
'Writer Module',
'Thinker Module',
'System Configuration',
]
return custom_urls + urls
def index(self, request, extra_context=None):
"""Redirect admin index to custom dashboard"""
return redirect('admin:dashboard')
app_list.sort(key=lambda x: order.index(x['name']) if x['name'] in order else 999)
return app_list
# Instantiate custom admin site
admin_site = Igny8AdminSite(name='admin')

View File

@@ -1,179 +0,0 @@
"""
Custom AdminSite for IGNY8 to organize models into proper groups using Unfold
"""
from django.contrib import admin
from django.contrib.admin.apps import AdminConfig
from django.apps import apps
from django.urls import path, reverse_lazy
from django.shortcuts import redirect
from unfold.admin import ModelAdmin as UnfoldModelAdmin
from unfold.sites import UnfoldAdminSite
class Igny8AdminSite(UnfoldAdminSite):
"""
Custom AdminSite based on Unfold that organizes models into the planned groups
"""
site_header = 'IGNY8 Administration'
site_title = 'IGNY8 Admin'
index_title = 'IGNY8 Administration'
def get_urls(self):
"""Get admin URLs without custom dashboard"""
urls = super().get_urls()
return urls
def get_app_list(self, request):
"""
Customize the app list to organize models into logical groups
"""
# Get the default app list
app_dict = self._build_app_dict(request)
# Define our custom groups with their models (using object_name)
# Organized by business function with emoji icons for visual recognition
custom_groups = {
'💰 Billing & Accounts': {
'models': [
('igny8_core_auth', 'Plan'),
('billing', 'PlanLimitUsage'),
('igny8_core_auth', 'Account'),
('igny8_core_auth', 'Subscription'),
('billing', 'Invoice'),
('billing', 'Payment'),
('billing', 'CreditTransaction'),
('billing', 'CreditUsageLog'),
('billing', 'CreditPackage'),
('billing', 'PaymentMethodConfig'),
('billing', 'AccountPaymentMethod'),
('billing', 'CreditCostConfig'),
],
},
'👥 Sites & Users': {
'models': [
('igny8_core_auth', 'Site'),
('igny8_core_auth', 'Sector'),
('igny8_core_auth', 'User'),
('igny8_core_auth', 'SiteUserAccess'),
('igny8_core_auth', 'PasswordResetToken'),
],
},
'📚 Content Management': {
'models': [
('writer', 'Content'),
('writer', 'Tasks'),
('writer', 'Images'),
('writer', 'ContentTaxonomy'),
('writer', 'ContentAttribute'),
('writer', 'ContentTaxonomyRelation'),
('writer', 'ContentClusterMap'),
],
},
'🎯 Planning & Strategy': {
'models': [
('planner', 'Clusters'),
('planner', 'Keywords'),
('planner', 'ContentIdeas'),
('system', 'Strategy'),
],
},
'🔗 Integrations & Publishing': {
'models': [
('integration', 'SiteIntegration'),
('integration', 'SyncEvent'),
('publishing', 'PublishingRecord'),
('publishing', 'DeploymentRecord'),
],
},
'🤖 AI & Automation': {
'models': [
('ai', 'AITaskLog'),
('system', 'AIPrompt'),
('automation', 'AutomationConfig'),
('automation', 'AutomationRun'),
('optimization', 'OptimizationTask'),
],
},
'🌍 Global Reference Data': {
'models': [
('igny8_core_auth', 'Industry'),
('igny8_core_auth', 'IndustrySector'),
('igny8_core_auth', 'SeedKeyword'),
],
},
'⚙️ System Configuration': {
'models': [
('system', 'IntegrationSettings'),
('system', 'AuthorProfile'),
('system', 'SystemSettings'),
('system', 'AccountSettings'),
('system', 'UserSettings'),
('system', 'ModuleSettings'),
('system', 'AISettings'),
('system', 'ModuleEnableSettings'),
('system', 'SystemLog'),
('system', 'SystemStatus'),
],
},
'<EFBFBD> Monitoring & Tasks': {
'models': [
('django_celery_results', 'TaskResult'),
('django_celery_results', 'GroupResult'),
],
},
'<EFBFBD>🔧 Django System': {
'models': [
('admin', 'LogEntry'),
('auth', 'Group'),
('auth', 'Permission'),
('contenttypes', 'ContentType'),
('sessions', 'Session'),
],
},
}
# Build the custom app list
app_list = []
for group_name, group_config in custom_groups.items():
group_models = []
for app_label, model_name in group_config['models']:
# Find the model in app_dict
if app_label in app_dict:
app_data = app_dict[app_label]
# Look for the model in the app's models
for model in app_data.get('models', []):
if model['object_name'] == model_name:
group_models.append(model)
break
# Only add the group if it has models
if group_models:
app_list.append({
'name': group_name,
'app_label': group_name.lower().replace(' ', '_').replace('&', '').replace('emoji', ''),
'app_url': None,
'has_module_perms': True,
'models': group_models,
})
# Sort the app list by our custom order
order = [
'💰 Billing & Accounts',
'👥 Sites & Users',
'📚 Content Management',
'🎯 Planning & Strategy',
'🔗 Integrations & Publishing',
'🤖 AI & Automation',
'🌍 Global Reference Data',
'⚙️ System Configuration',
'🔧 Django System',
]
app_list.sort(key=lambda x: order.index(x['name']) if x['name'] in order else 999)
return app_list

View File

@@ -1,179 +0,0 @@
"""
Custom AdminSite for IGNY8 to organize models into proper groups using Unfold
"""
from django.contrib import admin
from django.contrib.admin.apps import AdminConfig
from django.apps import apps
from django.urls import path, reverse_lazy
from django.shortcuts import redirect
from unfold.admin import ModelAdmin as UnfoldModelAdmin
from unfold.sites import UnfoldAdminSite
class Igny8AdminSite(UnfoldAdminSite):
"""
Custom AdminSite based on Unfold that organizes models into the planned groups
"""
site_header = 'IGNY8 Administration'
site_title = 'IGNY8 Admin'
index_title = 'IGNY8 Administration'
def get_urls(self):
"""Get admin URLs without custom dashboard"""
urls = super().get_urls()
return urls
def get_app_list(self, request):
"""
Customize the app list to organize models into logical groups
"""
# Get the default app list
app_dict = self._build_app_dict(request)
# Define our custom groups with their models (using object_name)
# Organized by business function with emoji icons for visual recognition
custom_groups = {
'💰 Billing & Accounts': {
'models': [
('igny8_core_auth', 'Plan'),
('billing', 'PlanLimitUsage'),
('igny8_core_auth', 'Account'),
('igny8_core_auth', 'Subscription'),
('billing', 'Invoice'),
('billing', 'Payment'),
('billing', 'CreditTransaction'),
('billing', 'CreditUsageLog'),
('billing', 'CreditPackage'),
('billing', 'PaymentMethodConfig'),
('billing', 'AccountPaymentMethod'),
('billing', 'CreditCostConfig'),
],
},
'👥 Sites & Users': {
'models': [
('igny8_core_auth', 'Site'),
('igny8_core_auth', 'Sector'),
('igny8_core_auth', 'User'),
('igny8_core_auth', 'SiteUserAccess'),
('igny8_core_auth', 'PasswordResetToken'),
],
},
'📚 Content Management': {
'models': [
('writer', 'Content'),
('writer', 'Tasks'),
('writer', 'Images'),
('writer', 'ContentTaxonomy'),
('writer', 'ContentAttribute'),
('writer', 'ContentTaxonomyRelation'),
('writer', 'ContentClusterMap'),
],
},
'🎯 Planning & Strategy': {
'models': [
('planner', 'Clusters'),
('planner', 'Keywords'),
('planner', 'ContentIdeas'),
('system', 'Strategy'),
],
},
'🔗 Integrations & Publishing': {
'models': [
('integration', 'SiteIntegration'),
('integration', 'SyncEvent'),
('publishing', 'PublishingRecord'),
('publishing', 'DeploymentRecord'),
],
},
'🤖 AI & Automation': {
'models': [
('ai', 'AITaskLog'),
('system', 'AIPrompt'),
('automation', 'AutomationConfig'),
('automation', 'AutomationRun'),
('optimization', 'OptimizationTask'),
],
},
'🌍 Global Reference Data': {
'models': [
('igny8_core_auth', 'Industry'),
('igny8_core_auth', 'IndustrySector'),
('igny8_core_auth', 'SeedKeyword'),
],
},
'⚙️ System Configuration': {
'models': [
('system', 'IntegrationSettings'),
('system', 'AuthorProfile'),
('system', 'SystemSettings'),
('system', 'AccountSettings'),
('system', 'UserSettings'),
('system', 'ModuleSettings'),
('system', 'AISettings'),
('system', 'ModuleEnableSettings'),
('system', 'SystemLog'),
('system', 'SystemStatus'),
],
},
'<EFBFBD> Monitoring & Tasks': {
'models': [
('django_celery_results', 'TaskResult'),
('django_celery_results', 'GroupResult'),
],
},
'<EFBFBD>🔧 Django System': {
'models': [
('admin', 'LogEntry'),
('auth', 'Group'),
('auth', 'Permission'),
('contenttypes', 'ContentType'),
('sessions', 'Session'),
],
},
}
# Build the custom app list
app_list = []
for group_name, group_config in custom_groups.items():
group_models = []
for app_label, model_name in group_config['models']:
# Find the model in app_dict
if app_label in app_dict:
app_data = app_dict[app_label]
# Look for the model in the app's models
for model in app_data.get('models', []):
if model['object_name'] == model_name:
group_models.append(model)
break
# Only add the group if it has models
if group_models:
app_list.append({
'name': group_name,
'app_label': group_name.lower().replace(' ', '_').replace('&', '').replace('emoji', ''),
'app_url': None,
'has_module_perms': True,
'models': group_models,
})
# Sort the app list by our custom order
order = [
'💰 Billing & Accounts',
'👥 Sites & Users',
'📚 Content Management',
'🎯 Planning & Strategy',
'🔗 Integrations & Publishing',
'🤖 AI & Automation',
'🌍 Global Reference Data',
'⚙️ System Configuration',
'🔧 Django System',
]
app_list.sort(key=lambda x: order.index(x['name']) if x['name'] in order else 999)
return app_list

View File

@@ -2,27 +2,11 @@
Admin configuration for AI models
"""
from django.contrib import admin
from unfold.admin import ModelAdmin
from igny8_core.admin.base import Igny8ModelAdmin
from igny8_core.ai.models import AITaskLog
from import_export.admin import ExportMixin
from import_export import resources
class AITaskLogResource(resources.ModelResource):
"""Resource class for exporting AI Task Logs"""
class Meta:
model = AITaskLog
fields = ('id', 'function_name', 'account__name', 'status', 'phase',
'cost', 'tokens', 'duration', 'created_at')
export_order = fields
@admin.register(AITaskLog)
class AITaskLogAdmin(ExportMixin, Igny8ModelAdmin):
resource_class = AITaskLogResource
class AITaskLogAdmin(admin.ModelAdmin):
"""Admin interface for AI task logs"""
list_display = [
'function_name',
@@ -64,10 +48,6 @@ class AITaskLogAdmin(ExportMixin, Igny8ModelAdmin):
'created_at',
'updated_at'
]
actions = [
'bulk_delete_old_logs',
'bulk_mark_reviewed',
]
def has_add_permission(self, request):
"""Logs are created automatically, no manual creation"""
@@ -76,22 +56,4 @@ class AITaskLogAdmin(ExportMixin, Igny8ModelAdmin):
def has_change_permission(self, request, obj=None):
"""Logs are read-only"""
return False
def bulk_delete_old_logs(self, request, queryset):
"""Delete AI task logs older than 90 days"""
from django.utils import timezone
from datetime import timedelta
cutoff_date = timezone.now() - timedelta(days=90)
old_logs = queryset.filter(created_at__lt=cutoff_date)
count = old_logs.count()
old_logs.delete()
self.message_user(request, f'{count} old AI task log(s) deleted (older than 90 days).', messages.SUCCESS)
bulk_delete_old_logs.short_description = 'Delete old logs (>90 days)'
def bulk_mark_reviewed(self, request, queryset):
"""Mark selected AI task logs as reviewed"""
count = queryset.count()
self.message_user(request, f'{count} AI task log(s) marked as reviewed.', messages.SUCCESS)
bulk_mark_reviewed.short_description = 'Mark as reviewed'

View File

@@ -13,6 +13,8 @@ from django.conf import settings
from .constants import (
DEFAULT_AI_MODEL,
JSON_MODE_MODELS,
MODEL_RATES,
IMAGE_MODEL_RATES,
VALID_OPENAI_IMAGE_MODELS,
VALID_SIZES_BY_MODEL,
DEBUG_MODE,
@@ -38,27 +40,39 @@ class AICore:
self.account = account
self._openai_api_key = None
self._runware_api_key = None
self._bria_api_key = None
self._anthropic_api_key = None
self._load_account_settings()
def _load_account_settings(self):
"""Load API keys from IntegrationProvider (centralized provider config)"""
try:
from igny8_core.ai.model_registry import ModelRegistry
# Load API keys from IntegrationProvider (centralized, platform-wide)
self._openai_api_key = ModelRegistry.get_api_key('openai')
self._runware_api_key = ModelRegistry.get_api_key('runware')
self._bria_api_key = ModelRegistry.get_api_key('bria')
self._anthropic_api_key = ModelRegistry.get_api_key('anthropic')
except Exception as e:
logger.error(f"Could not load API keys from IntegrationProvider: {e}", exc_info=True)
self._openai_api_key = None
self._runware_api_key = None
self._bria_api_key = None
self._anthropic_api_key = None
"""Load API keys and model from IntegrationSettings or Django settings"""
if self.account:
try:
from igny8_core.modules.system.models import IntegrationSettings
# Load OpenAI settings
openai_settings = IntegrationSettings.objects.filter(
integration_type='openai',
account=self.account,
is_active=True
).first()
if openai_settings and openai_settings.config:
self._openai_api_key = openai_settings.config.get('apiKey')
# Load Runware settings
runware_settings = IntegrationSettings.objects.filter(
integration_type='runware',
account=self.account,
is_active=True
).first()
if runware_settings and runware_settings.config:
self._runware_api_key = runware_settings.config.get('apiKey')
except Exception as e:
logger.warning(f"Could not load account settings: {e}", exc_info=True)
# Fallback to Django settings for API keys only (no model fallback)
if not self._openai_api_key:
self._openai_api_key = getattr(settings, 'OPENAI_API_KEY', None)
if not self._runware_api_key:
self._runware_api_key = getattr(settings, 'RUNWARE_API_KEY', None)
def get_api_key(self, integration_type: str = 'openai') -> Optional[str]:
"""Get API key for integration type"""
@@ -66,10 +80,6 @@ class AICore:
return self._openai_api_key
elif integration_type == 'runware':
return self._runware_api_key
elif integration_type == 'bria':
return self._bria_api_key
elif integration_type == 'anthropic':
return self._anthropic_api_key
return None
def get_model(self, integration_type: str = 'openai') -> str:
@@ -87,18 +97,18 @@ class AICore:
self,
prompt: str,
model: str,
max_tokens: int = 8192,
max_tokens: int = 4000,
temperature: float = 0.7,
response_format: Optional[Dict] = None,
api_key: Optional[str] = None,
function_name: str = 'ai_request',
prompt_prefix: Optional[str] = None,
function_id: Optional[str] = None,
tracker: Optional[ConsoleStepTracker] = None
) -> Dict[str, Any]:
"""
Centralized AI request handler with console logging.
All AI text generation requests go through this method.
Args:
prompt: Prompt text
model: Model name (required - must be provided from IntegrationSettings)
@@ -107,13 +117,12 @@ class AICore:
response_format: Optional response format dict (for JSON mode)
api_key: Optional API key override
function_name: Function name for logging (e.g., 'cluster_keywords')
prompt_prefix: Optional prefix to add before prompt (e.g., '##GP01-Clustering')
tracker: Optional ConsoleStepTracker instance for logging
Returns:
Dict with 'content', 'input_tokens', 'output_tokens', 'total_tokens',
'model', 'cost', 'error', 'api_id'
Raises:
ValueError: If model is not provided
"""
@@ -164,12 +173,8 @@ class AICore:
logger.info(f" - Model used in request: {active_model}")
tracker.ai_call(f"Using model: {active_model}")
# Use ModelRegistry for validation (database-driven)
from igny8_core.ai.model_registry import ModelRegistry
if not ModelRegistry.validate_model(active_model):
# Get list of supported models from database
supported_models = [m.model_name for m in ModelRegistry.list_models(model_type='text')]
error_msg = f"Model '{active_model}' is not supported. Supported models: {supported_models}"
if active_model not in MODEL_RATES:
error_msg = f"Model '{active_model}' is not supported. Supported models: {list(MODEL_RATES.keys())}"
logger.error(f"[AICore] {error_msg}")
tracker.error('ConfigurationError', error_msg)
return {
@@ -194,16 +199,16 @@ class AICore:
else:
tracker.ai_call("Using text response format")
# Step 4: Validate prompt length and add prompt_prefix
# Step 4: Validate prompt length and add function_id
prompt_length = len(prompt)
tracker.ai_call(f"Prompt length: {prompt_length} characters")
# Add prompt_prefix to prompt if provided (for tracking)
# Format: ##GP01-Clustering or ##CP01-Clustering
# Add function_id to prompt if provided (for tracking)
final_prompt = prompt
if prompt_prefix:
final_prompt = f'{prompt_prefix}\n\n{prompt}'
tracker.ai_call(f"Added prompt prefix: {prompt_prefix}")
if function_id:
function_id_prefix = f'function_id: "{function_id}"\n\n'
final_prompt = function_id_prefix + prompt
tracker.ai_call(f"Added function_id to prompt: {function_id}")
# Step 5: Build request payload
url = 'https://api.openai.com/v1/chat/completions'
@@ -218,12 +223,8 @@ class AICore:
'temperature': temperature,
}
# GPT-5.1 and GPT-5.2 use max_completion_tokens instead of max_tokens
if max_tokens:
if active_model in ['gpt-5.1', 'gpt-5.2']:
body_data['max_completion_tokens'] = max_tokens
else:
body_data['max_tokens'] = max_tokens
body_data['max_tokens'] = max_tokens
if response_format:
body_data['response_format'] = response_format
@@ -235,7 +236,7 @@ class AICore:
request_start = time.time()
try:
response = requests.post(url, headers=headers, json=body_data, timeout=180)
response = requests.post(url, headers=headers, json=body_data, timeout=60)
request_duration = time.time() - request_start
tracker.ai_call(f"Received response in {request_duration:.2f}s (status={response.status_code})")
@@ -300,13 +301,9 @@ class AICore:
tracker.parse(f"Received {total_tokens} tokens (input: {input_tokens}, output: {output_tokens})")
tracker.parse(f"Content length: {len(content)} characters")
# Step 10: Calculate cost using ModelRegistry (database-driven)
from igny8_core.ai.model_registry import ModelRegistry
cost = float(ModelRegistry.calculate_cost(
active_model,
input_tokens=input_tokens,
output_tokens=output_tokens
))
# Step 10: Calculate cost
rates = MODEL_RATES.get(active_model, {'input': 2.00, 'output': 8.00})
cost = (input_tokens * rates['input'] + output_tokens * rates['output']) / 1_000_000
tracker.parse(f"Cost calculated: ${cost:.6f}")
tracker.done("Request completed successfully")
@@ -338,8 +335,8 @@ class AICore:
}
except requests.exceptions.Timeout:
error_msg = 'Request timeout (180s exceeded)'
tracker.timeout(180)
error_msg = 'Request timeout (60s exceeded)'
tracker.timeout(60)
logger.error(error_msg)
return {
'content': None,
@@ -381,289 +378,6 @@ class AICore:
'api_id': None,
}
def run_anthropic_request(
self,
prompt: str,
model: str,
max_tokens: int = 8192,
temperature: float = 0.7,
api_key: Optional[str] = None,
function_name: str = 'anthropic_request',
prompt_prefix: Optional[str] = None,
tracker: Optional[ConsoleStepTracker] = None,
system_prompt: Optional[str] = None,
) -> Dict[str, Any]:
"""
Anthropic (Claude) AI request handler with console logging.
Alternative to OpenAI for text generation.
Args:
prompt: Prompt text
model: Claude model name (required - must be provided from IntegrationSettings)
max_tokens: Maximum tokens
temperature: Temperature (0-1)
api_key: Optional API key override
function_name: Function name for logging (e.g., 'cluster_keywords')
prompt_prefix: Optional prefix to add before prompt
tracker: Optional ConsoleStepTracker instance for logging
system_prompt: Optional system prompt for Claude
Returns:
Dict with 'content', 'input_tokens', 'output_tokens', 'total_tokens',
'model', 'cost', 'error', 'api_id'
Raises:
ValueError: If model is not provided
"""
# Use provided tracker or create a new one
if tracker is None:
tracker = ConsoleStepTracker(function_name)
tracker.ai_call("Preparing Anthropic request...")
# Step 1: Validate model is provided
if not model:
error_msg = "Model is required. Ensure IntegrationSettings is configured for the account."
tracker.error('ConfigurationError', error_msg)
logger.error(f"[AICore][Anthropic] {error_msg}")
return {
'content': None,
'error': error_msg,
'input_tokens': 0,
'output_tokens': 0,
'total_tokens': 0,
'model': None,
'cost': 0.0,
'api_id': None,
}
# Step 2: Validate API key
api_key = api_key or self._anthropic_api_key
if not api_key:
error_msg = 'Anthropic API key not configured'
tracker.error('ConfigurationError', error_msg)
return {
'content': None,
'error': error_msg,
'input_tokens': 0,
'output_tokens': 0,
'total_tokens': 0,
'model': model,
'cost': 0.0,
'api_id': None,
}
active_model = model
# Debug logging: Show model used
logger.info(f"[AICore][Anthropic] Model Configuration:")
logger.info(f" - Model parameter passed: {model}")
logger.info(f" - Model used in request: {active_model}")
tracker.ai_call(f"Using Anthropic model: {active_model}")
# Add prompt_prefix to prompt if provided (for tracking)
final_prompt = prompt
if prompt_prefix:
final_prompt = f'{prompt_prefix}\n\n{prompt}'
tracker.ai_call(f"Added prompt prefix: {prompt_prefix}")
# Step 5: Build request payload using Anthropic Messages API
url = 'https://api.anthropic.com/v1/messages'
headers = {
'x-api-key': api_key,
'anthropic-version': '2023-06-01',
'Content-Type': 'application/json',
}
body_data = {
'model': active_model,
'max_tokens': max_tokens,
'messages': [{'role': 'user', 'content': final_prompt}],
}
# Only add temperature if it's less than 1.0 (Claude's default)
if temperature < 1.0:
body_data['temperature'] = temperature
# Add system prompt if provided
if system_prompt:
body_data['system'] = system_prompt
tracker.ai_call(f"Request payload prepared (model={active_model}, max_tokens={max_tokens}, temp={temperature})")
# Step 6: Send request
tracker.ai_call("Sending request to Anthropic API...")
request_start = time.time()
try:
response = requests.post(url, headers=headers, json=body_data, timeout=180)
request_duration = time.time() - request_start
tracker.ai_call(f"Received response in {request_duration:.2f}s (status={response.status_code})")
# Step 7: Validate HTTP response
if response.status_code != 200:
error_data = response.json() if response.headers.get('content-type', '').startswith('application/json') else {}
error_message = f"HTTP {response.status_code} error"
if isinstance(error_data, dict) and 'error' in error_data:
if isinstance(error_data['error'], dict) and 'message' in error_data['error']:
error_message += f": {error_data['error']['message']}"
# Check for rate limit
if response.status_code == 429:
retry_after = response.headers.get('retry-after', '60')
tracker.rate_limit(retry_after)
error_message += f" (Rate limit - retry after {retry_after}s)"
else:
tracker.error('HTTPError', error_message)
logger.error(f"Anthropic API HTTP error {response.status_code}: {error_message}")
return {
'content': None,
'error': error_message,
'input_tokens': 0,
'output_tokens': 0,
'total_tokens': 0,
'model': active_model,
'cost': 0.0,
'api_id': None,
}
# Step 8: Parse response JSON
try:
data = response.json()
except json.JSONDecodeError as e:
error_msg = f'Failed to parse JSON response: {str(e)}'
tracker.malformed_json(str(e))
logger.error(error_msg)
return {
'content': None,
'error': error_msg,
'input_tokens': 0,
'output_tokens': 0,
'total_tokens': 0,
'model': active_model,
'cost': 0.0,
'api_id': None,
}
api_id = data.get('id')
# Step 9: Extract content (Anthropic format)
# Claude returns content as array: [{"type": "text", "text": "..."}]
if 'content' in data and len(data['content']) > 0:
# Extract text from first content block
content_blocks = data['content']
content = ''
for block in content_blocks:
if block.get('type') == 'text':
content += block.get('text', '')
usage = data.get('usage', {})
input_tokens = usage.get('input_tokens', 0)
output_tokens = usage.get('output_tokens', 0)
total_tokens = input_tokens + output_tokens
tracker.parse(f"Received {total_tokens} tokens (input: {input_tokens}, output: {output_tokens})")
tracker.parse(f"Content length: {len(content)} characters")
# Step 10: Calculate cost using ModelRegistry (with fallback)
# Claude pricing as of 2024:
# claude-3-5-sonnet: $3/1M input, $15/1M output
# claude-3-opus: $15/1M input, $75/1M output
# claude-3-haiku: $0.25/1M input, $1.25/1M output
from igny8_core.ai.model_registry import ModelRegistry
cost = float(ModelRegistry.calculate_cost(
active_model,
input_tokens=input_tokens,
output_tokens=output_tokens
))
# Fallback to hardcoded rates if ModelRegistry returns 0
if cost == 0:
anthropic_rates = {
'claude-3-5-sonnet-20241022': {'input': 3.00, 'output': 15.00},
'claude-3-5-haiku-20241022': {'input': 1.00, 'output': 5.00},
'claude-3-opus-20240229': {'input': 15.00, 'output': 75.00},
'claude-3-sonnet-20240229': {'input': 3.00, 'output': 15.00},
'claude-3-haiku-20240307': {'input': 0.25, 'output': 1.25},
}
rates = anthropic_rates.get(active_model, {'input': 3.00, 'output': 15.00})
cost = (input_tokens * rates['input'] + output_tokens * rates['output']) / 1_000_000
tracker.parse(f"Cost calculated: ${cost:.6f}")
tracker.done("Anthropic request completed successfully")
return {
'content': content,
'input_tokens': input_tokens,
'output_tokens': output_tokens,
'total_tokens': total_tokens,
'model': active_model,
'cost': cost,
'error': None,
'api_id': api_id,
'duration': request_duration,
}
else:
error_msg = 'No content in Anthropic response'
tracker.error('EmptyResponse', error_msg)
logger.error(error_msg)
return {
'content': None,
'error': error_msg,
'input_tokens': 0,
'output_tokens': 0,
'total_tokens': 0,
'model': active_model,
'cost': 0.0,
'api_id': api_id,
}
except requests.exceptions.Timeout:
error_msg = 'Request timeout (180s exceeded)'
tracker.timeout(180)
logger.error(error_msg)
return {
'content': None,
'error': error_msg,
'input_tokens': 0,
'output_tokens': 0,
'total_tokens': 0,
'model': active_model,
'cost': 0.0,
'api_id': None,
}
except requests.exceptions.RequestException as e:
error_msg = f'Request exception: {str(e)}'
tracker.error('RequestException', error_msg, e)
logger.error(f"Anthropic API error: {error_msg}", exc_info=True)
return {
'content': None,
'error': error_msg,
'input_tokens': 0,
'output_tokens': 0,
'total_tokens': 0,
'model': active_model,
'cost': 0.0,
'api_id': None,
}
except Exception as e:
error_msg = f'Unexpected error: {str(e)}'
logger.error(f"[AI][{function_name}][Anthropic][Error] {error_msg}", exc_info=True)
if tracker:
tracker.error('UnexpectedError', error_msg, e)
return {
'content': None,
'error': error_msg,
'input_tokens': 0,
'output_tokens': 0,
'total_tokens': 0,
'model': active_model,
'cost': 0.0,
'api_id': None,
}
def extract_json(self, response_text: str) -> Optional[Dict]:
"""
Extract JSON from response text.
@@ -713,8 +427,7 @@ class AICore:
n: int = 1,
api_key: Optional[str] = None,
negative_prompt: Optional[str] = None,
function_name: str = 'generate_image',
style: Optional[str] = None
function_name: str = 'generate_image'
) -> Dict[str, Any]:
"""
Generate image using AI with console logging.
@@ -735,11 +448,9 @@ class AICore:
print(f"[AI][{function_name}] Step 1: Preparing image generation request...")
if provider == 'openai':
return self._generate_image_openai(prompt, model, size, n, api_key, negative_prompt, function_name, style)
return self._generate_image_openai(prompt, model, size, n, api_key, negative_prompt, function_name)
elif provider == 'runware':
return self._generate_image_runware(prompt, model, size, n, api_key, negative_prompt, function_name)
elif provider == 'bria':
return self._generate_image_bria(prompt, model, size, n, api_key, negative_prompt, function_name)
else:
error_msg = f'Unknown provider: {provider}'
print(f"[AI][{function_name}][Error] {error_msg}")
@@ -759,15 +470,9 @@ class AICore:
n: int,
api_key: Optional[str],
negative_prompt: Optional[str],
function_name: str,
style: Optional[str] = None
function_name: str
) -> Dict[str, Any]:
"""Generate image using OpenAI DALL-E
Args:
style: For DALL-E 3 only. 'vivid' (hyper-real/dramatic) or 'natural' (more realistic).
Default is 'natural' for realistic photos.
"""
"""Generate image using OpenAI DALL-E"""
print(f"[AI][{function_name}] Provider: OpenAI")
# Determine character limit based on model
@@ -852,15 +557,6 @@ class AICore:
'size': size
}
# For DALL-E 3, add style parameter
# 'natural' = more realistic photos, 'vivid' = hyper-real/dramatic
if model == 'dall-e-3':
# Default to 'natural' for realistic images, but respect user preference
dalle_style = style if style in ['vivid', 'natural'] else 'natural'
data['style'] = dalle_style
data['quality'] = 'hd' # Always use HD quality for best results
print(f"[AI][{function_name}] DALL-E 3 style: {dalle_style}, quality: hd")
if negative_prompt:
# Note: OpenAI DALL-E doesn't support negative_prompt in API, but we log it
print(f"[AI][{function_name}] Note: Negative prompt provided but OpenAI DALL-E doesn't support it")
@@ -893,9 +589,7 @@ class AICore:
image_url = image_data.get('url')
revised_prompt = image_data.get('revised_prompt')
# Use ModelRegistry for image cost (database-driven)
from igny8_core.ai.model_registry import ModelRegistry
cost = float(ModelRegistry.calculate_cost(model, num_images=n))
cost = IMAGE_MODEL_RATES.get(model, 0.040) * n
print(f"[AI][{function_name}] Step 5: Image generated successfully")
print(f"[AI][{function_name}] Step 6: Cost: ${cost:.4f}")
print(f"[AI][{function_name}][Success] Image generation completed")
@@ -987,57 +681,24 @@ class AICore:
# Runware uses array payload with authentication task first, then imageInference
# Reference: image-generation.php lines 79-97
import uuid
# Build base inference task
inference_task = {
'taskType': 'imageInference',
'taskUUID': str(uuid.uuid4()),
'positivePrompt': prompt,
'negativePrompt': negative_prompt or '',
'model': runware_model,
'width': width,
'height': height,
'numberResults': 1,
'outputFormat': 'webp'
}
# Model-specific parameter configuration based on Runware documentation
if runware_model.startswith('bria:'):
# Bria 3.2 (bria:10@1) - Commercial-ready, steps 20-50 (API requires minimum 20)
inference_task['steps'] = 20
# Enhanced negative prompt for Bria to prevent disfigured images
enhanced_negative = (negative_prompt or '') + ', disfigured, deformed, bad anatomy, wrong anatomy, extra limbs, missing limbs, floating limbs, mutated hands, extra fingers, missing fingers, fused fingers, poorly drawn hands, poorly drawn face, mutation, ugly, blurry, low quality, worst quality, jpeg artifacts, watermark, text, signature'
inference_task['negativePrompt'] = enhanced_negative
# Bria provider settings for enhanced quality
inference_task['providerSettings'] = {
'bria': {
'promptEnhancement': True,
'enhanceImage': True,
'medium': 'photography',
'contentModeration': True
}
}
print(f"[AI][{function_name}] Using Bria 3.2 config: steps=20, enhanced negative prompt, providerSettings enabled")
elif runware_model.startswith('google:'):
# Nano Banana (google:4@2) - Premium quality
# Google models use 'resolution' parameter INSTEAD of width/height
# Remove width/height and use resolution only
del inference_task['width']
del inference_task['height']
inference_task['resolution'] = '1k' # Use 1K tier for optimal speed/quality
print(f"[AI][{function_name}] Using Nano Banana config: resolution=1k (no width/height)")
else:
# Hi Dream Full (runware:97@1) - General diffusion, steps 20, CFGScale 7
inference_task['steps'] = 20
inference_task['CFGScale'] = 7
print(f"[AI][{function_name}] Using Hi Dream Full config: steps=20, CFGScale=7")
payload = [
{
'taskType': 'authentication',
'apiKey': api_key
},
inference_task
{
'taskType': 'imageInference',
'taskUUID': str(uuid.uuid4()),
'positivePrompt': prompt,
'negativePrompt': negative_prompt or '',
'model': runware_model,
'width': width,
'height': height,
'steps': 30,
'CFGScale': 7.5,
'numberResults': 1,
'outputFormat': 'webp'
}
]
request_start = time.time()
@@ -1047,29 +708,7 @@ class AICore:
print(f"[AI][{function_name}] Step 4: Received response in {request_duration:.2f}s (status={response.status_code})")
if response.status_code != 200:
# Log the full error response for debugging
try:
error_body = response.json()
print(f"[AI][{function_name}][Error] Runware error response: {error_body}")
logger.error(f"[AI][{function_name}] Runware HTTP {response.status_code} error body: {error_body}")
# Extract specific error message from Runware response
error_detail = None
if isinstance(error_body, list):
for item in error_body:
if isinstance(item, dict) and 'errors' in item:
errors = item['errors']
if isinstance(errors, list) and len(errors) > 0:
err = errors[0]
error_detail = err.get('message') or err.get('error') or str(err)
break
elif isinstance(error_body, dict):
error_detail = error_body.get('message') or error_body.get('error') or str(error_body)
error_msg = f"HTTP {response.status_code}: {error_detail}" if error_detail else f"HTTP {response.status_code} error"
except Exception as e:
error_msg = f"HTTP {response.status_code} error (could not parse response: {e})"
error_msg = f"HTTP {response.status_code} error"
print(f"[AI][{function_name}][Error] {error_msg}")
return {
'url': None,
@@ -1185,185 +824,23 @@ class AICore:
'error': error_msg,
}
def _generate_image_bria(
self,
prompt: str,
model: Optional[str],
size: str,
n: int,
api_key: Optional[str],
negative_prompt: Optional[str],
function_name: str
) -> Dict[str, Any]:
"""
Generate image using Bria AI.
Bria API Reference: https://docs.bria.ai/reference/text-to-image
"""
print(f"[AI][{function_name}] Provider: Bria AI")
api_key = api_key or self._bria_api_key
if not api_key:
error_msg = 'Bria API key not configured'
print(f"[AI][{function_name}][Error] {error_msg}")
return {
'url': None,
'provider': 'bria',
'cost': 0.0,
'error': error_msg,
}
bria_model = model or 'bria-2.3'
print(f"[AI][{function_name}] Step 2: Using model: {bria_model}, size: {size}")
# Parse size
try:
width, height = map(int, size.split('x'))
except ValueError:
error_msg = f"Invalid size format: {size}. Expected format: WIDTHxHEIGHT"
print(f"[AI][{function_name}][Error] {error_msg}")
return {
'url': None,
'provider': 'bria',
'cost': 0.0,
'error': error_msg,
}
# Bria API endpoint
url = 'https://engine.prod.bria-api.com/v1/text-to-image/base'
headers = {
'api_token': api_key,
'Content-Type': 'application/json'
}
payload = {
'prompt': prompt,
'num_results': n,
'sync': True, # Wait for result
'model_version': bria_model.replace('bria-', ''), # e.g., '2.3'
}
# Add negative prompt if provided
if negative_prompt:
payload['negative_prompt'] = negative_prompt
# Add size constraints if not default
if width and height:
# Bria uses aspect ratio or fixed sizes
payload['width'] = width
payload['height'] = height
print(f"[AI][{function_name}] Step 3: Sending request to Bria API...")
request_start = time.time()
try:
response = requests.post(url, json=payload, headers=headers, timeout=150)
request_duration = time.time() - request_start
print(f"[AI][{function_name}] Step 4: Received response in {request_duration:.2f}s (status={response.status_code})")
if response.status_code != 200:
error_msg = f"HTTP {response.status_code} error: {response.text[:200]}"
print(f"[AI][{function_name}][Error] {error_msg}")
return {
'url': None,
'provider': 'bria',
'cost': 0.0,
'error': error_msg,
}
body = response.json()
print(f"[AI][{function_name}] Bria response keys: {list(body.keys()) if isinstance(body, dict) else type(body)}")
# Bria returns { "result": [ { "urls": ["..."] } ] }
image_url = None
error_msg = None
if isinstance(body, dict):
if 'result' in body and isinstance(body['result'], list) and len(body['result']) > 0:
first_result = body['result'][0]
if 'urls' in first_result and isinstance(first_result['urls'], list) and len(first_result['urls']) > 0:
image_url = first_result['urls'][0]
elif 'url' in first_result:
image_url = first_result['url']
elif 'error' in body:
error_msg = body['error']
elif 'message' in body:
error_msg = body['message']
if error_msg:
print(f"[AI][{function_name}][Error] Bria API error: {error_msg}")
return {
'url': None,
'provider': 'bria',
'cost': 0.0,
'error': error_msg,
}
if image_url:
# Cost based on model
cost_per_image = {
'bria-2.3': 0.015,
'bria-2.3-fast': 0.010,
'bria-2.2': 0.012,
}.get(bria_model, 0.015)
cost = cost_per_image * n
print(f"[AI][{function_name}] Step 5: Image generated successfully")
print(f"[AI][{function_name}] Step 6: Cost: ${cost:.4f}")
print(f"[AI][{function_name}][Success] Image generation completed")
return {
'url': image_url,
'provider': 'bria',
'cost': cost,
'error': None,
}
else:
error_msg = f'No image data in Bria response'
print(f"[AI][{function_name}][Error] {error_msg}")
logger.error(f"[AI][{function_name}] Full Bria response: {json.dumps(body, indent=2) if isinstance(body, dict) else str(body)}")
return {
'url': None,
'provider': 'bria',
'cost': 0.0,
'error': error_msg,
}
except requests.exceptions.Timeout:
error_msg = 'Request timeout (150s exceeded)'
print(f"[AI][{function_name}][Error] {error_msg}")
return {
'url': None,
'provider': 'bria',
'cost': 0.0,
'error': error_msg,
}
except Exception as e:
error_msg = f'Unexpected error: {str(e)}'
print(f"[AI][{function_name}][Error] {error_msg}")
logger.error(error_msg, exc_info=True)
return {
'url': None,
'provider': 'bria',
'cost': 0.0,
'error': error_msg,
}
def calculate_cost(self, model: str, input_tokens: int, output_tokens: int, model_type: str = 'text') -> float:
"""Calculate cost for API call using ModelRegistry (database-driven)"""
from igny8_core.ai.model_registry import ModelRegistry
"""Calculate cost for API call"""
if model_type == 'text':
return float(ModelRegistry.calculate_cost(model, input_tokens=input_tokens, output_tokens=output_tokens))
rates = MODEL_RATES.get(model, {'input': 2.00, 'output': 8.00})
input_cost = (input_tokens / 1_000_000) * rates['input']
output_cost = (output_tokens / 1_000_000) * rates['output']
return input_cost + output_cost
elif model_type == 'image':
return float(ModelRegistry.calculate_cost(model, num_images=1))
rate = IMAGE_MODEL_RATES.get(model, 0.040)
return rate * 1
return 0.0
# Legacy method names for backward compatibility
def call_openai(self, prompt: str, model: Optional[str] = None, max_tokens: int = 8192,
def call_openai(self, prompt: str, model: Optional[str] = None, max_tokens: int = 4000,
temperature: float = 0.7, response_format: Optional[Dict] = None,
api_key: Optional[str] = None) -> Dict[str, Any]:
"""DEPRECATED: Legacy method - redirects to run_ai_request(). Use run_ai_request() directly."""
"""Legacy method - redirects to run_ai_request()"""
return self.run_ai_request(
prompt=prompt,
model=model,

View File

@@ -1,27 +1,14 @@
"""
AI Constants - Configuration constants for AI operations
NOTE: Model pricing (MODEL_RATES, IMAGE_MODEL_RATES) has been moved to the database
via AIModelConfig. Use ModelRegistry to get model pricing:
from igny8_core.ai.model_registry import ModelRegistry
cost = ModelRegistry.calculate_cost(model_id, input_tokens=N, output_tokens=N)
The constants below are DEPRECATED and kept only for reference/backward compatibility.
Do NOT use MODEL_RATES or IMAGE_MODEL_RATES in new code.
AI Constants - Model pricing, valid models, and configuration constants
"""
# DEPRECATED - Use AIModelConfig database table instead
# Model pricing (per 1M tokens) - kept for reference only
# Model pricing (per 1M tokens) - EXACT from reference plugin model-rates-config.php
MODEL_RATES = {
'gpt-4.1': {'input': 2.00, 'output': 8.00},
'gpt-4o-mini': {'input': 0.15, 'output': 0.60},
'gpt-4o': {'input': 2.50, 'output': 10.00},
'gpt-5.1': {'input': 1.25, 'output': 10.00},
'gpt-5.2': {'input': 1.75, 'output': 14.00},
}
# DEPRECATED - Use AIModelConfig database table instead
# Image model pricing (per image) - kept for reference only
# Image model pricing (per image) - EXACT from reference plugin
IMAGE_MODEL_RATES = {
'dall-e-3': 0.040,
'dall-e-2': 0.020,
@@ -46,7 +33,7 @@ VALID_SIZES_BY_MODEL = {
DEFAULT_AI_MODEL = 'gpt-4.1'
# JSON mode supported models
JSON_MODE_MODELS = ['gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo-preview', 'gpt-5.1', 'gpt-5.2']
JSON_MODE_MODELS = ['gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo-preview']
# Debug mode - controls console logging
# Set to False in production to disable verbose logging

View File

@@ -31,15 +31,9 @@ class AIEngine:
elif function_name == 'generate_ideas':
return f"{count} cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_content':
return f"{count} article{'s' if count != 1 else ''}"
return f"{count} task{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"{count} image{'s' if count != 1 else ''}"
elif function_name == 'generate_image_prompts':
return f"{count} image prompt{'s' if count != 1 else ''}"
elif function_name == 'optimize_content':
return f"{count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return "site blueprint"
return f"{count} task{'s' if count != 1 else ''}"
return f"{count} item{'s' if count != 1 else ''}"
def _build_validation_message(self, function_name: str, payload: dict, count: int, input_description: str) -> str:
@@ -55,22 +49,12 @@ class AIEngine:
remaining = count - len(keyword_list)
if remaining > 0:
keywords_text = ', '.join(keyword_list)
return f"Validating {count} keywords for clustering"
return f"Validating {keywords_text} and {remaining} more keyword{'s' if remaining != 1 else ''}"
else:
keywords_text = ', '.join(keyword_list)
return f"Validating {keywords_text}"
except Exception as e:
logger.warning(f"Failed to load keyword names for validation message: {e}")
elif function_name == 'generate_ideas':
return f"Analyzing {count} clusters for content opportunities"
elif function_name == 'generate_content':
return f"Preparing {count} article{'s' if count != 1 else ''} for generation"
elif function_name == 'generate_image_prompts':
return f"Analyzing content for image opportunities"
elif function_name == 'generate_images':
return f"Queuing {count} image{'s' if count != 1 else ''} for generation"
elif function_name == 'optimize_content':
return f"Analyzing {count} article{'s' if count != 1 else ''} for optimization"
# Fallback to simple count message
return f"Validating {input_description}"
@@ -78,147 +62,83 @@ class AIEngine:
def _get_prep_message(self, function_name: str, count: int, data: Any) -> str:
"""Get user-friendly prep message"""
if function_name == 'auto_cluster':
return f"Analyzing keyword relationships for {count} keyword{'s' if count != 1 else ''}"
return f"Loading {count} keyword{'s' if count != 1 else ''}"
elif function_name == 'generate_ideas':
# Count keywords in clusters if available
keyword_count = 0
if isinstance(data, dict) and 'cluster_data' in data:
for cluster in data['cluster_data']:
keyword_count += len(cluster.get('keywords', []))
if keyword_count > 0:
return f"Mapping {keyword_count} keywords to topic briefs"
return f"Mapping keywords to topic briefs for {count} cluster{'s' if count != 1 else ''}"
return f"Loading {count} cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_content':
return f"Building content brief{'s' if count != 1 else ''} with target keywords"
return f"Preparing {count} content idea{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"Preparing AI image generation ({count} image{'s' if count != 1 else ''})"
return f"Extracting image prompts from {count} task{'s' if count != 1 else ''}"
elif function_name == 'generate_image_prompts':
# Extract max_images from data if available
if isinstance(data, list) and len(data) > 0:
max_images = data[0].get('max_images')
max_images = data[0].get('max_images', 2)
total_images = 1 + max_images # 1 featured + max_images in-article
return f"Identifying 1 featured + {max_images} in-article image slots"
return f"Mapping Content for {total_images} Image Prompts"
elif isinstance(data, dict) and 'max_images' in data:
max_images = data.get('max_images')
max_images = data.get('max_images', 2)
total_images = 1 + max_images
return f"Identifying 1 featured + {max_images} in-article image slots"
return f"Identifying featured and in-article image slots"
elif function_name == 'optimize_content':
return f"Analyzing SEO factors for {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
blueprint_name = ''
if isinstance(data, dict):
blueprint = data.get('blueprint')
if blueprint and getattr(blueprint, 'name', None):
blueprint_name = f'"{blueprint.name}"'
return f"Preparing site blueprint {blueprint_name}".strip()
return f"Mapping Content for {total_images} Image Prompts"
return f"Mapping Content for Image Prompts"
return f"Preparing {count} item{'s' if count != 1 else ''}"
def _get_ai_call_message(self, function_name: str, count: int) -> str:
"""Get user-friendly AI call message"""
if function_name == 'auto_cluster':
return f"Grouping {count} keywords by search intent"
return f"Grouping {count} keyword{'s' if count != 1 else ''} into clusters"
elif function_name == 'generate_ideas':
return f"Generating content ideas for {count} cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_content':
return f"Writing {count} article{'s' if count != 1 else ''} with AI"
return f"Writing article{'s' if count != 1 else ''} with AI"
elif function_name == 'generate_images':
return f"Generating image{'s' if count != 1 else ''} with AI"
elif function_name == 'generate_image_prompts':
return f"Creating optimized prompts for {count} image{'s' if count != 1 else ''}"
elif function_name == 'optimize_content':
return f"Optimizing {count} article{'s' if count != 1 else ''} for SEO"
elif function_name == 'generate_site_structure':
return "Designing complete site architecture"
return f"Creating image{'s' if count != 1 else ''} with AI"
return f"Processing with AI"
def _get_parse_message(self, function_name: str) -> str:
"""Get user-friendly parse message"""
if function_name == 'auto_cluster':
return "Organizing semantic clusters"
return "Organizing clusters"
elif function_name == 'generate_ideas':
return "Structuring article outlines"
return "Structuring outlines"
elif function_name == 'generate_content':
return "Formatting HTML content and metadata"
return "Formatting content"
elif function_name == 'generate_images':
return "Processing generated images"
elif function_name == 'generate_image_prompts':
return "Refining contextual image descriptions"
elif function_name == 'optimize_content':
return "Compiling optimization scores"
elif function_name == 'generate_site_structure':
return "Compiling site map"
return "Processing images"
return "Processing results"
def _get_parse_message_with_count(self, function_name: str, count: int) -> str:
"""Get user-friendly parse message with count"""
if function_name == 'auto_cluster':
return f"Organizing {count} semantic cluster{'s' if count != 1 else ''}"
return f"{count} cluster{'s' if count != 1 else ''} created"
elif function_name == 'generate_ideas':
return f"Structuring {count} article outline{'s' if count != 1 else ''}"
return f"{count} idea{'s' if count != 1 else ''} created"
elif function_name == 'generate_content':
return f"Formatting {count} article{'s' if count != 1 else ''}"
return f"{count} article{'s' if count != 1 else ''} created"
elif function_name == 'generate_images':
return f"Processing {count} generated image{'s' if count != 1 else ''}"
return f"{count} image{'s' if count != 1 else ''} created"
elif function_name == 'generate_image_prompts':
# Count is total prompts, in-article is count - 1 (subtract featured)
in_article_count = max(0, count - 1)
if in_article_count > 0:
return f"Refining {in_article_count} in-article image description{'s' if in_article_count != 1 else ''}"
return "Refining image descriptions"
elif function_name == 'optimize_content':
return f"Compiling scores for {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return f"{count} page blueprint{'s' if count != 1 else ''} mapped"
return f"Writing {in_article_count} Inarticle Image Prompts"
return "Writing Inarticle Image Prompts"
return f"{count} item{'s' if count != 1 else ''} processed"
def _get_save_message(self, function_name: str, count: int) -> str:
"""Get user-friendly save message"""
if function_name == 'auto_cluster':
return f"Saving {count} cluster{'s' if count != 1 else ''} with keywords"
return f"Saving {count} cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_ideas':
return f"Saving {count} idea{'s' if count != 1 else ''} with outlines"
return f"Saving {count} idea{'s' if count != 1 else ''}"
elif function_name == 'generate_content':
return f"Saving {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"Uploading {count} image{'s' if count != 1 else ''} to media library"
return f"Saving {count} image{'s' if count != 1 else ''}"
elif function_name == 'generate_image_prompts':
in_article = max(0, count - 1)
return f"Assigning {count} prompts (1 featured + {in_article} in-article)"
elif function_name == 'optimize_content':
return f"Saving optimization scores for {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return f"Publishing {count} page blueprint{'s' if count != 1 else ''}"
# Count is total prompts created
return f"Assigning {count} Prompts to Dedicated Slots"
return f"Saving {count} item{'s' if count != 1 else ''}"
def _get_done_message(self, function_name: str, result: dict) -> str:
"""Get user-friendly completion message with counts"""
count = result.get('count', 0)
if function_name == 'auto_cluster':
keyword_count = result.get('keywords_clustered', 0)
return f"✓ Organized {keyword_count} keywords into {count} semantic cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_ideas':
return f"✓ Created {count} content idea{'s' if count != 1 else ''} with detailed outlines"
elif function_name == 'generate_content':
total_words = result.get('total_words', 0)
if total_words > 0:
return f"✓ Generated {count} article{'s' if count != 1 else ''} ({total_words:,} words)"
return f"✓ Generated {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"✓ Generated and saved {count} AI image{'s' if count != 1 else ''}"
elif function_name == 'generate_image_prompts':
in_article = max(0, count - 1)
return f"✓ Created {count} image prompt{'s' if count != 1 else ''} (1 featured + {in_article} in-article)"
elif function_name == 'optimize_content':
avg_score = result.get('average_score', 0)
if avg_score > 0:
return f"✓ Optimized {count} article{'s' if count != 1 else ''} (avg score: {avg_score}%)"
return f"✓ Optimized {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return f"✓ Created {count} page blueprint{'s' if count != 1 else ''}"
return f"{count} item{'s' if count != 1 else ''} completed"
def execute(self, fn: BaseAIFunction, payload: dict) -> dict:
"""
Unified execution pipeline for all AI functions.
@@ -272,31 +192,6 @@ class AIEngine:
self.step_tracker.add_request_step("PREP", "success", prep_message)
self.tracker.update("PREP", 25, prep_message, meta=self.step_tracker.get_meta())
# Phase 2.5: CREDIT CHECK - Check credits before AI call (25%)
if self.account:
try:
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
# Map function name to operation type
operation_type = self._get_operation_type(function_name)
# Calculate estimated cost
estimated_amount = self._get_estimated_amount(function_name, data, payload)
# Check credits BEFORE AI call
CreditService.check_credits(self.account, operation_type, estimated_amount)
logger.info(f"[AIEngine] Credit check passed: {operation_type}, estimated amount: {estimated_amount}")
except InsufficientCreditsError as e:
error_msg = str(e)
error_type = 'InsufficientCreditsError'
logger.error(f"[AIEngine] {error_msg}")
return self._handle_error(error_msg, fn, error_type=error_type)
except Exception as e:
logger.warning(f"[AIEngine] Failed to check credits: {e}", exc_info=True)
# Don't fail the operation if credit check fails (for backward compatibility)
# Phase 3: AI_CALL - Provider API Call (25-70%)
# Validate account exists before proceeding
if not self.account:
@@ -306,13 +201,12 @@ class AIEngine:
ai_core = AICore(account=self.account)
function_name = fn.get_name()
# Generate prompt prefix for tracking (e.g., ##GP01-Clustering or ##CP01-Clustering)
# This replaces function_id and indicates whether prompt is global or custom
from igny8_core.ai.prompts import get_prompt_prefix_for_function
prompt_prefix = get_prompt_prefix_for_function(function_name, account=self.account)
logger.info(f"[AIEngine] Using prompt prefix: {prompt_prefix}")
# Generate function_id for tracking (ai-{function_name}-01)
# Normalize underscores to hyphens to match frontend tracking IDs
function_id_base = function_name.replace('_', '-')
function_id = f"ai-{function_id_base}-01-desktop"
# Get model config from settings (requires account)
# This will raise ValueError if IntegrationSettings not configured
try:
@@ -350,7 +244,7 @@ class AIEngine:
temperature=model_config.get('temperature'),
response_format=model_config.get('response_format'),
function_name=function_name,
prompt_prefix=prompt_prefix # Pass prompt prefix for tracking (replaces function_id)
function_id=function_id # Pass function_id for tracking
)
except Exception as e:
error_msg = f"AI call failed: {str(e)}"
@@ -431,60 +325,46 @@ class AIEngine:
# Store save_msg for use in DONE phase
final_save_msg = save_msg
# Phase 5.5: DEDUCT CREDITS - Deduct credits after successful save
# Track credit usage after successful save
if self.account and raw_response:
try:
from igny8_core.business.billing.services.credit_service import CreditService
from igny8_core.business.billing.exceptions import InsufficientCreditsError
from igny8_core.modules.billing.services import CreditService
from igny8_core.modules.billing.models import CreditUsageLog
# Map function name to operation type
operation_type = self._get_operation_type(function_name)
# Calculate credits used (based on tokens or fixed cost)
credits_used = self._calculate_credits_for_clustering(
keyword_count=len(data.get('keywords', [])) if isinstance(data, dict) else len(data) if isinstance(data, list) else 1,
tokens=raw_response.get('total_tokens', 0),
cost=raw_response.get('cost', 0)
)
# Get actual token usage from response (AI returns 'input_tokens' and 'output_tokens')
tokens_input = raw_response.get('input_tokens', 0)
tokens_output = raw_response.get('output_tokens', 0)
# Deduct credits based on actual token usage
CreditService.deduct_credits_for_operation(
# Log credit usage (don't deduct from account.credits, just log)
CreditUsageLog.objects.create(
account=self.account,
operation_type=operation_type,
tokens_input=tokens_input,
tokens_output=tokens_output,
operation_type='clustering',
credits_used=credits_used,
cost_usd=raw_response.get('cost'),
model_used=raw_response.get('model', ''),
related_object_type=self._get_related_object_type(function_name),
related_object_id=save_result.get('id') or save_result.get('cluster_id') or save_result.get('task_id'),
tokens_input=raw_response.get('tokens_input', 0),
tokens_output=raw_response.get('tokens_output', 0),
related_object_type='cluster',
metadata={
'function_name': function_name,
'clusters_created': clusters_created,
'keywords_updated': keywords_updated,
'count': count,
**save_result
'function_name': function_name
}
)
logger.info(
f"[AIEngine] Credits deducted: {operation_type}, "
f"tokens: {tokens_input + tokens_output} ({tokens_input} in, {tokens_output} out)"
)
except InsufficientCreditsError as e:
# This shouldn't happen since we checked before, but log it
logger.error(f"[AIEngine] Insufficient credits during deduction: {e}")
except Exception as e:
logger.warning(f"[AIEngine] Failed to deduct credits: {e}", exc_info=True)
# Don't fail the operation if credit deduction fails (for backward compatibility)
logger.warning(f"Failed to log credit usage: {e}", exc_info=True)
# Phase 6: DONE - Finalization (98-100%)
done_msg = self._get_done_message(function_name, save_result)
self.step_tracker.add_request_step("DONE", "success", done_msg)
self.tracker.update("DONE", 100, done_msg, meta=self.step_tracker.get_meta())
success_msg = f"Task completed: {final_save_msg}" if 'final_save_msg' in locals() else "Task completed successfully"
self.step_tracker.add_request_step("DONE", "success", "Task completed successfully")
self.tracker.update("DONE", 100, "Task complete!", meta=self.step_tracker.get_meta())
# Log to database
self._log_to_database(fn, payload, parsed, save_result)
# Create notification for successful completion
self._create_success_notification(function_name, save_result, payload)
return {
'success': True,
**save_result,
@@ -528,9 +408,6 @@ class AIEngine:
self._log_to_database(fn, None, None, None, error=error)
# Create notification for failure
self._create_failure_notification(function_name, error)
return {
'success': False,
'error': error,
@@ -576,186 +453,18 @@ class AIEngine:
# Don't fail the task if logging fails
logger.warning(f"Failed to log to database: {e}")
def _get_operation_type(self, function_name):
"""Map function name to operation type for credit system"""
mapping = {
'auto_cluster': 'clustering',
'generate_ideas': 'idea_generation',
'generate_content': 'content_generation',
'generate_image_prompts': 'image_prompt_extraction',
'generate_images': 'image_generation',
'generate_site_structure': 'site_structure_generation',
}
return mapping.get(function_name, function_name)
def _get_estimated_amount(self, function_name, data, payload):
"""Get estimated amount for credit calculation (before operation)"""
if function_name == 'generate_content':
# Estimate word count - tasks don't have word_count field, use default
# data is a list of Task objects
if isinstance(data, list) and len(data) > 0:
# Multiple tasks - estimate 1000 words per task
return len(data) * 1000
return 1000 # Default estimate for single item
elif function_name == 'generate_images':
# Count images to generate
if isinstance(payload, dict):
image_ids = payload.get('image_ids', [])
return len(image_ids) if image_ids else 1
return 1
elif function_name == 'generate_ideas':
# Count clusters
if isinstance(data, dict) and 'cluster_data' in data:
return len(data['cluster_data'])
return 1
# For fixed cost operations (clustering, image_prompt_extraction), return None
return None
def _get_actual_amount(self, function_name, save_result, parsed, data):
"""Get actual amount for credit calculation (after operation)"""
if function_name == 'generate_content':
# Get actual word count from saved content
if isinstance(save_result, dict):
word_count = save_result.get('word_count')
if word_count and word_count > 0:
return word_count
# Fallback: estimate from parsed content
if isinstance(parsed, dict) and 'content' in parsed:
content = parsed['content']
return len(content.split()) if isinstance(content, str) else 1000
# Fallback: estimate from html_content if available
if isinstance(parsed, dict) and 'html_content' in parsed:
html_content = parsed['html_content']
if isinstance(html_content, str):
# Strip HTML tags for word count
import re
text = re.sub(r'<[^>]+>', '', html_content)
return len(text.split())
return 1000
elif function_name == 'generate_images':
# Count successfully generated images
count = save_result.get('count', 0)
if count > 0:
return count
return 1
elif function_name == 'generate_ideas':
# Count ideas generated
count = save_result.get('count', 0)
if count > 0:
return count
return 1
# For fixed cost operations, return None
return None
def _get_related_object_type(self, function_name):
"""Get related object type for credit logging"""
mapping = {
'auto_cluster': 'cluster',
'generate_ideas': 'content_idea',
'generate_content': 'content',
'generate_image_prompts': 'image',
'generate_images': 'image',
'generate_site_structure': 'site_blueprint',
}
return mapping.get(function_name, 'unknown')
def _create_success_notification(self, function_name: str, save_result: dict, payload: dict):
"""Create notification for successful AI task completion"""
if not self.account:
return
def _calculate_credits_for_clustering(self, keyword_count, tokens, cost):
"""Calculate credits used for clustering operation"""
# Use plan's cost per request if available, otherwise calculate from tokens
if self.account and hasattr(self.account, 'plan') and self.account.plan:
plan = self.account.plan
# Check if plan has ai_cost_per_request config
if hasattr(plan, 'ai_cost_per_request') and plan.ai_cost_per_request:
cluster_cost = plan.ai_cost_per_request.get('cluster', 0)
if cluster_cost:
return int(cluster_cost)
# Lazy import to avoid circular dependency and Django app loading issues
from igny8_core.business.notifications.services import NotificationService
# Get site from payload if available
site = None
site_id = payload.get('site_id')
if site_id:
try:
from igny8_core.auth.models import Site
site = Site.objects.get(id=site_id, account=self.account)
except:
pass
try:
# Map function to appropriate notification method
if function_name == 'auto_cluster':
NotificationService.notify_clustering_complete(
account=self.account,
site=site,
cluster_count=save_result.get('clusters_created', 0),
keyword_count=save_result.get('keywords_updated', 0)
)
elif function_name == 'generate_ideas':
NotificationService.notify_ideas_complete(
account=self.account,
site=site,
idea_count=save_result.get('count', 0),
cluster_count=len(payload.get('ids', []))
)
elif function_name == 'generate_content':
NotificationService.notify_content_complete(
account=self.account,
site=site,
article_count=save_result.get('count', 0),
word_count=save_result.get('word_count', 0)
)
elif function_name == 'generate_image_prompts':
NotificationService.notify_prompts_complete(
account=self.account,
site=site,
prompt_count=save_result.get('count', 0)
)
elif function_name == 'generate_images':
NotificationService.notify_images_complete(
account=self.account,
site=site,
image_count=save_result.get('count', 0)
)
logger.info(f"[AIEngine] Created success notification for {function_name}")
except Exception as e:
# Don't fail the task if notification creation fails
logger.warning(f"[AIEngine] Failed to create success notification: {e}", exc_info=True)
def _create_failure_notification(self, function_name: str, error: str):
"""Create notification for failed AI task"""
if not self.account:
return
# Lazy import to avoid circular dependency and Django app loading issues
from igny8_core.business.notifications.services import NotificationService
try:
# Map function to appropriate failure notification method
if function_name == 'auto_cluster':
NotificationService.notify_clustering_failed(
account=self.account,
error=error
)
elif function_name == 'generate_ideas':
NotificationService.notify_ideas_failed(
account=self.account,
error=error
)
elif function_name == 'generate_content':
NotificationService.notify_content_failed(
account=self.account,
error=error
)
elif function_name == 'generate_image_prompts':
NotificationService.notify_prompts_failed(
account=self.account,
error=error
)
elif function_name == 'generate_images':
NotificationService.notify_images_failed(
account=self.account,
error=error
)
logger.info(f"[AIEngine] Created failure notification for {function_name}")
except Exception as e:
# Don't fail the task if notification creation fails
logger.warning(f"[AIEngine] Failed to create failure notification: {e}", exc_info=True)
# Fallback: 1 credit per 30 keywords (minimum 1)
credits = max(1, int(keyword_count / 30))
return credits

View File

@@ -40,7 +40,6 @@ class AutoClusterFunction(BaseAIFunction):
def validate(self, payload: dict, account=None) -> Dict:
"""Custom validation for clustering"""
from igny8_core.ai.validators import validate_ids, validate_keywords_exist
from igny8_core.ai.validators.cluster_validators import validate_minimum_keywords
# Base validation (no max_items limit)
result = validate_ids(payload, max_items=None)
@@ -53,21 +52,6 @@ class AutoClusterFunction(BaseAIFunction):
if not keywords_result['valid']:
return keywords_result
# NEW: Validate minimum keywords (5 required for meaningful clustering)
min_validation = validate_minimum_keywords(
keyword_ids=ids,
account=account,
min_required=5
)
if not min_validation['valid']:
logger.warning(f"[AutoCluster] Validation failed: {min_validation['error']}")
return min_validation
logger.info(
f"[AutoCluster] Validation passed: {min_validation['count']} keywords available (min: {min_validation['required']})"
)
# Removed plan limits check
return {'valid': True}
@@ -97,6 +81,7 @@ class AutoClusterFunction(BaseAIFunction):
'keyword': kw.keyword,
'volume': kw.volume,
'difficulty': kw.difficulty,
'intent': kw.intent,
}
for kw in keywords
],
@@ -110,7 +95,7 @@ class AutoClusterFunction(BaseAIFunction):
# Format keywords
keywords_text = '\n'.join([
f"- {kw['keyword']} (Volume: {kw['volume']}, Difficulty: {kw['difficulty']})"
f"- {kw['keyword']} (Volume: {kw['volume']}, Difficulty: {kw['difficulty']}, Intent: {kw['intent']})"
for kw in keyword_data
])
@@ -264,7 +249,7 @@ class AutoClusterFunction(BaseAIFunction):
sector=sector,
defaults={
'description': cluster_data.get('description', ''),
'status': 'new', # FIXED: Changed from 'active' to 'new'
'status': 'active',
}
)
else:
@@ -275,7 +260,7 @@ class AutoClusterFunction(BaseAIFunction):
sector__isnull=True,
defaults={
'description': cluster_data.get('description', ''),
'status': 'new', # FIXED: Changed from 'active' to 'new'
'status': 'active',
'sector': None,
}
)
@@ -307,10 +292,9 @@ class AutoClusterFunction(BaseAIFunction):
else:
keyword_filter = keyword_filter.filter(sector__isnull=True)
# FIXED: Ensure keywords status updates from 'new' to 'mapped'
updated_count = keyword_filter.update(
cluster=cluster,
status='mapped' # Status changes from 'new' to 'mapped'
status='mapped'
)
keywords_updated += updated_count

View File

@@ -1,14 +1,13 @@
"""
Generate Content AI Function
STAGE 3: Updated to use final Stage 1 Content schema
Extracted from modules/writer/tasks.py
"""
import logging
import re
from typing import Dict, List, Any
from django.db import transaction
from igny8_core.ai.base import BaseAIFunction
from igny8_core.modules.writer.models import Tasks, Content
from igny8_core.business.content.models import ContentTaxonomy
from igny8_core.modules.writer.models import Tasks, Content as TaskContent
from igny8_core.ai.ai_core import AICore
from igny8_core.ai.validators import validate_tasks_exist
from igny8_core.ai.prompts import PromptRegistry
@@ -63,9 +62,9 @@ class GenerateContentFunction(BaseAIFunction):
if account:
queryset = queryset.filter(account=account)
# STAGE 3: Preload relationships - taxonomy_term instead of taxonomy
# Preload all relationships to avoid N+1 queries
tasks = list(queryset.select_related(
'account', 'site', 'sector', 'cluster', 'taxonomy_term'
'account', 'site', 'sector', 'cluster', 'idea'
))
if not tasks:
@@ -74,8 +73,9 @@ class GenerateContentFunction(BaseAIFunction):
return tasks
def build_prompt(self, data: Any, account=None) -> str:
"""STAGE 3: Build content generation prompt using final Task schema"""
"""Build content generation prompt for a single task using registry"""
if isinstance(data, list):
# For now, handle single task (will be called per task)
if not data:
raise ValueError("No tasks provided")
task = data[0]
@@ -89,9 +89,33 @@ class GenerateContentFunction(BaseAIFunction):
if task.description:
idea_data += f"Description: {task.description}\n"
# Add content type and structure from task
idea_data += f"Content Type: {task.content_type or 'post'}\n"
idea_data += f"Content Structure: {task.content_structure or 'article'}\n"
# Handle idea description (might be JSON or plain text)
if task.idea and task.idea.description:
description = task.idea.description
try:
import json
parsed_desc = json.loads(description)
if isinstance(parsed_desc, dict):
formatted_desc = "Content Outline:\n\n"
if 'H2' in parsed_desc:
for h2_section in parsed_desc['H2']:
formatted_desc += f"## {h2_section.get('heading', '')}\n"
if 'subsections' in h2_section:
for h3_section in h2_section['subsections']:
formatted_desc += f"### {h3_section.get('subheading', '')}\n"
formatted_desc += f"Content Type: {h3_section.get('content_type', '')}\n"
formatted_desc += f"Details: {h3_section.get('details', '')}\n\n"
description = formatted_desc
except (json.JSONDecodeError, TypeError):
pass # Use as plain text
idea_data += f"Outline: {description}\n"
if task.idea:
idea_data += f"Structure: {task.idea.content_structure or task.content_structure or 'blog_post'}\n"
idea_data += f"Type: {task.idea.content_type or task.content_type or 'blog_post'}\n"
if task.idea.estimated_word_count:
idea_data += f"Estimated Word Count: {task.idea.estimated_word_count}\n"
# Build cluster data string
cluster_data = ''
@@ -99,18 +123,12 @@ class GenerateContentFunction(BaseAIFunction):
cluster_data = f"Cluster Name: {task.cluster.name or ''}\n"
if task.cluster.description:
cluster_data += f"Description: {task.cluster.description}\n"
cluster_data += f"Status: {task.cluster.status or 'active'}\n"
# STAGE 3: Build taxonomy context (from taxonomy_term FK)
taxonomy_data = ''
if task.taxonomy_term:
taxonomy_data = f"Taxonomy: {task.taxonomy_term.name or ''}\n"
if task.taxonomy_term.taxonomy_type:
taxonomy_data += f"Type: {task.taxonomy_term.get_taxonomy_type_display()}\n"
# STAGE 3: Build keywords context (from keywords TextField)
keywords_data = ''
if task.keywords:
keywords_data = f"Keywords: {task.keywords}\n"
# Build keywords string
keywords_data = task.keywords or ''
if not keywords_data and task.idea:
keywords_data = task.idea.target_keywords or ''
# Get prompt from registry with context
prompt = PromptRegistry.get_prompt(
@@ -120,7 +138,6 @@ class GenerateContentFunction(BaseAIFunction):
context={
'IDEA': idea_data,
'CLUSTER': cluster_data,
'TAXONOMY': taxonomy_data,
'KEYWORDS': keywords_data,
}
)
@@ -159,11 +176,7 @@ class GenerateContentFunction(BaseAIFunction):
progress_tracker=None,
step_tracker=None
) -> Dict:
"""
STAGE 3: Save content using final Stage 1 Content model schema.
Creates independent Content record (no OneToOne to Task).
Handles tags and categories from AI response.
"""
"""Save content to task - handles both JSON and plain text responses"""
if isinstance(original_data, list):
task = original_data[0] if original_data else None
else:
@@ -177,158 +190,113 @@ class GenerateContentFunction(BaseAIFunction):
# JSON response with structured fields
content_html = parsed.get('content', '')
title = parsed.get('title') or task.title
meta_title = parsed.get('meta_title') or parsed.get('seo_title') or title
meta_description = parsed.get('meta_description') or parsed.get('seo_description')
primary_keyword = parsed.get('primary_keyword') or parsed.get('focus_keyword')
secondary_keywords = parsed.get('secondary_keywords') or parsed.get('keywords', [])
# Extract tags and categories from AI response
tags_from_response = parsed.get('tags', [])
categories_from_response = parsed.get('categories', [])
# DEBUG: Log the full parsed response to see what we're getting
logger.info(f"===== GENERATE CONTENT DEBUG =====")
logger.info(f"Full parsed response keys: {list(parsed.keys())}")
logger.info(f"Tags from response (type: {type(tags_from_response)}): {tags_from_response}")
logger.info(f"Categories from response (type: {type(categories_from_response)}): {categories_from_response}")
logger.info(f"==================================")
meta_title = parsed.get('meta_title') or title or task.title
meta_description = parsed.get('meta_description', '')
word_count = parsed.get('word_count', 0)
primary_keyword = parsed.get('primary_keyword', '')
secondary_keywords = parsed.get('secondary_keywords', [])
tags = parsed.get('tags', [])
categories = parsed.get('categories', [])
# Content status should always be 'draft' for newly generated content
# Status can only be changed manually to 'review' or 'publish'
content_status = 'draft'
else:
# Plain text response
# Plain text response (legacy)
content_html = str(parsed)
title = task.title
meta_title = title
meta_description = None
primary_keyword = None
meta_title = task.meta_title or task.title
meta_description = task.meta_description or (task.description or '')[:160] if task.description else ''
word_count = 0
primary_keyword = ''
secondary_keywords = []
tags_from_response = []
categories_from_response = []
tags = []
categories = []
content_status = 'draft'
# Calculate word count
word_count = 0
if content_html:
# Calculate word count if not provided
if not word_count and content_html:
text_for_counting = re.sub(r'<[^>]+>', '', content_html)
word_count = len(text_for_counting.split())
# STAGE 3: Create independent Content record using final schema
content_record = Content.objects.create(
# Core fields
title=title,
content_html=content_html or '',
word_count=word_count,
# SEO fields
meta_title=meta_title,
meta_description=meta_description,
primary_keyword=primary_keyword,
secondary_keywords=secondary_keywords if isinstance(secondary_keywords, list) else [],
# Structure
cluster=task.cluster,
content_type=task.content_type,
content_structure=task.content_structure,
# Source and status
source='igny8',
status='draft',
# Site/Sector/Account
account=task.account,
site=task.site,
sector=task.sector,
# Ensure related content record exists
content_record, _created = TaskContent.objects.get_or_create(
task=task,
defaults={
'account': task.account,
'site': task.site,
'sector': task.sector,
'html_content': content_html or '',
'word_count': word_count or 0,
'status': 'draft',
},
)
logger.info(f"Created content record ID: {content_record.id}")
logger.info(f"Processing taxonomies - Tags: {len(tags_from_response) if tags_from_response else 0}, Categories: {len(categories_from_response) if categories_from_response else 0}")
# Link taxonomy terms from task if available
if task.taxonomy_term:
content_record.taxonomy_terms.add(task.taxonomy_term)
logger.info(f"Added task taxonomy term: {task.taxonomy_term.name}")
# Process tags from AI response
logger.info(f"Starting tag processing: {tags_from_response}")
if tags_from_response and isinstance(tags_from_response, list):
from django.utils.text import slugify
for tag_name in tags_from_response:
logger.info(f"Processing tag: '{tag_name}' (type: {type(tag_name)})")
if tag_name and isinstance(tag_name, str):
tag_name = tag_name.strip()
if tag_name:
try:
tag_slug = slugify(tag_name)
logger.info(f"Creating/finding tag: name='{tag_name}', slug='{tag_slug}'")
# Get or create tag taxonomy term using site + slug + type for uniqueness
tag_obj, created = ContentTaxonomy.objects.get_or_create(
site=task.site,
slug=tag_slug,
taxonomy_type='tag',
defaults={
'name': tag_name,
'sector': task.sector,
'account': task.account,
'description': '',
'external_taxonomy': '',
'sync_status': '',
'count': 0,
'metadata': {},
}
)
content_record.taxonomy_terms.add(tag_obj)
logger.info(f"{'Created' if created else 'Found'} and linked tag: {tag_name} (ID: {tag_obj.id}, Slug: {tag_slug})")
except Exception as e:
logger.error(f"❌ Failed to add tag '{tag_name}': {e}", exc_info=True)
else:
logger.warning(f"Skipping invalid tag: '{tag_name}' (type: {type(tag_name)})")
# Update content fields
if content_html:
content_record.html_content = content_html
content_record.word_count = word_count or content_record.word_count or 0
content_record.title = title
content_record.meta_title = meta_title
content_record.meta_description = meta_description
content_record.primary_keyword = primary_keyword or ''
if isinstance(secondary_keywords, list):
content_record.secondary_keywords = secondary_keywords
elif secondary_keywords:
content_record.secondary_keywords = [secondary_keywords]
else:
logger.info(f"No tags to process or tags_from_response is not a list: {type(tags_from_response)}")
# Process categories from AI response
logger.info(f"Starting category processing: {categories_from_response}")
if categories_from_response and isinstance(categories_from_response, list):
from django.utils.text import slugify
for category_name in categories_from_response:
logger.info(f"Processing category: '{category_name}' (type: {type(category_name)})")
if category_name and isinstance(category_name, str):
category_name = category_name.strip()
if category_name:
try:
category_slug = slugify(category_name)
logger.info(f"Creating/finding category: name='{category_name}', slug='{category_slug}'")
# Get or create category taxonomy term using site + slug + type for uniqueness
category_obj, created = ContentTaxonomy.objects.get_or_create(
site=task.site,
slug=category_slug,
taxonomy_type='category',
defaults={
'name': category_name,
'sector': task.sector,
'account': task.account,
'description': '',
'external_taxonomy': '',
'sync_status': '',
'count': 0,
'metadata': {},
}
)
content_record.taxonomy_terms.add(category_obj)
logger.info(f"{'Created' if created else 'Found'} and linked category: {category_name} (ID: {category_obj.id}, Slug: {category_slug})")
except Exception as e:
logger.error(f"❌ Failed to add category '{category_name}': {e}", exc_info=True)
else:
logger.warning(f"Skipping invalid category: '{category_name}' (type: {type(category_name)})")
content_record.secondary_keywords = []
if isinstance(tags, list):
content_record.tags = tags
elif tags:
content_record.tags = [tags]
else:
logger.info(f"No categories to process or categories_from_response is not a list: {type(categories_from_response)}")
# STAGE 3: Update task status to completed
content_record.tags = []
if isinstance(categories, list):
content_record.categories = categories
elif categories:
content_record.categories = [categories]
else:
content_record.categories = []
# Always set status to 'draft' for newly generated content
# Status can only be: draft, review, published (changed manually)
content_record.status = 'draft'
# Merge any extra fields into metadata (non-standard keys)
if isinstance(parsed, dict):
excluded_keys = {
'content',
'title',
'meta_title',
'meta_description',
'primary_keyword',
'secondary_keywords',
'tags',
'categories',
'word_count',
'status',
}
extra_meta = {k: v for k, v in parsed.items() if k not in excluded_keys}
existing_meta = content_record.metadata or {}
existing_meta.update(extra_meta)
content_record.metadata = existing_meta
# Align foreign keys to ensure consistency
content_record.account = task.account
content_record.site = task.site
content_record.sector = task.sector
content_record.task = task
content_record.save()
# Update task status - keep task data intact but mark as completed
task.status = 'completed'
task.save(update_fields=['status', 'updated_at'])
# NEW: Auto-sync idea status from task status
if hasattr(task, 'idea') and task.idea:
task.idea.status = 'completed'
task.idea.save(update_fields=['status', 'updated_at'])
logger.info(f"Updated related idea ID {task.idea.id} to completed")
return {
'count': 1,
'content_id': content_record.id,
'task_id': task.id,
'word_count': word_count,
'tasks_updated': 1,
'word_count': content_record.word_count,
}

View File

@@ -208,16 +208,12 @@ class GenerateIdeasFunction(BaseAIFunction):
# Handle target_keywords
target_keywords = idea_data.get('covered_keywords', '') or idea_data.get('target_keywords', '')
# Direct mapping - no conversion needed
content_type = idea_data.get('content_type', 'post')
content_structure = idea_data.get('content_structure', 'article')
# Create ContentIdeas record
ContentIdeas.objects.create(
idea_title=idea_data.get('title', 'Untitled Idea'),
description=description, # Stored as JSON string
content_type=content_type,
content_structure=content_structure,
description=description,
content_type=idea_data.get('content_type', 'blog_post'),
content_structure=idea_data.get('content_structure', 'supporting_page'),
target_keywords=target_keywords,
keyword_cluster=cluster,
estimated_word_count=idea_data.get('estimated_word_count', 1500),
@@ -227,11 +223,6 @@ class GenerateIdeasFunction(BaseAIFunction):
sector=cluster.sector,
)
ideas_created += 1
# Update cluster status to 'mapped' after ideas are generated
if cluster and cluster.status == 'new':
cluster.status = 'mapped'
cluster.save()
return {
'count': ideas_created,

View File

@@ -63,7 +63,7 @@ class GenerateImagePromptsFunction(BaseAIFunction):
if account:
queryset = queryset.filter(account=account)
contents = list(queryset.select_related('account', 'site', 'sector', 'cluster'))
contents = list(queryset.select_related('task', 'account', 'site', 'sector'))
if not contents:
raise ValueError("No content records found")
@@ -93,7 +93,7 @@ class GenerateImagePromptsFunction(BaseAIFunction):
data = data[0]
extracted = data['extracted']
max_images = data.get('max_images')
max_images = data.get('max_images', 2)
# Format content for prompt
content_text = self._format_content_for_prompt(extracted)
@@ -112,7 +112,7 @@ class GenerateImagePromptsFunction(BaseAIFunction):
return prompt
def parse_response(self, response: str, step_tracker=None) -> Dict:
"""Parse AI response with new structure including captions"""
"""Parse AI response - same pattern as other functions"""
ai_core = AICore(account=getattr(self, 'account', None))
json_data = ai_core.extract_json(response)
@@ -123,28 +123,9 @@ class GenerateImagePromptsFunction(BaseAIFunction):
if 'featured_prompt' not in json_data:
raise ValueError("Missing 'featured_prompt' in AI response")
if 'featured_caption' not in json_data:
raise ValueError("Missing 'featured_caption' in AI response")
if 'in_article_prompts' not in json_data:
raise ValueError("Missing 'in_article_prompts' in AI response")
# Validate in_article_prompts structure (should be list of objects with prompt & caption)
in_article_prompts = json_data.get('in_article_prompts', [])
if in_article_prompts:
for idx, item in enumerate(in_article_prompts):
if isinstance(item, dict):
if 'prompt' not in item:
raise ValueError(f"Missing 'prompt' in in_article_prompts[{idx}]")
if 'caption' not in item:
raise ValueError(f"Missing 'caption' in in_article_prompts[{idx}]")
else:
# Legacy format (just string) - convert to new format
in_article_prompts[idx] = {
'prompt': str(item),
'caption': '' # Empty caption for legacy data
}
return json_data
def save_output(
@@ -165,47 +146,36 @@ class GenerateImagePromptsFunction(BaseAIFunction):
content = original_data['content']
extracted = original_data['extracted']
max_images = original_data.get('max_images')
max_images = original_data.get('max_images', 2)
prompts_created = 0
with transaction.atomic():
# Save featured image prompt with caption
# Save featured image prompt - use content instead of task
Images.objects.update_or_create(
content=content,
image_type='featured',
defaults={
'prompt': parsed['featured_prompt'],
'caption': parsed.get('featured_caption', ''),
'status': 'pending',
'position': 0,
}
)
prompts_created += 1
# Save in-article image prompts with captions
# Save in-article image prompts
in_article_prompts = parsed.get('in_article_prompts', [])
h2_headings = extracted.get('h2_headings', [])
for idx, prompt_data in enumerate(in_article_prompts[:max_images]):
# Handle both new format (dict with prompt & caption) and legacy format (string)
if isinstance(prompt_data, dict):
prompt_text = prompt_data.get('prompt', '')
caption_text = prompt_data.get('caption', '')
else:
# Legacy format - just a string prompt
prompt_text = str(prompt_data)
caption_text = ''
heading = h2_headings[idx] if idx < len(h2_headings) else f"Section {idx}"
for idx, prompt_text in enumerate(in_article_prompts[:max_images]):
heading = h2_headings[idx] if idx < len(h2_headings) else f"Section {idx + 1}"
Images.objects.update_or_create(
content=content,
image_type='in_article',
position=idx, # 0-based position matching section array indices
position=idx + 1,
defaults={
'prompt': prompt_text,
'caption': caption_text,
'status': 'pending',
}
)
@@ -218,25 +188,26 @@ class GenerateImagePromptsFunction(BaseAIFunction):
# Helper methods
def _get_max_in_article_images(self, account) -> int:
"""
Get max_in_article_images from AISettings (with account override).
"""
from igny8_core.modules.system.ai_settings import AISettings
max_images = AISettings.get_effective_max_images(account)
logger.info(f"Using max_in_article_images={max_images} for account {account.id}")
return max_images
"""Get max_in_article_images from IntegrationSettings"""
try:
from igny8_core.modules.system.models import IntegrationSettings
settings = IntegrationSettings.objects.get(
account=account,
integration_type='image_generation'
)
return settings.config.get('max_in_article_images', 2)
except IntegrationSettings.DoesNotExist:
return 2 # Default
def _extract_content_elements(self, content: Content, max_images: int) -> Dict:
"""Extract title, intro paragraphs, and H2 headings from content HTML"""
from bs4 import BeautifulSoup
html_content = content.content_html or ''
html_content = content.html_content or ''
soup = BeautifulSoup(html_content, 'html.parser')
# Extract title
# Get content title (task field was removed in refactor)
title = content.title or ''
title = content.title or content.task.title or ''
# Extract first 1-2 intro paragraphs (skip italic hook if present)
paragraphs = soup.find_all('p')

View File

@@ -67,39 +67,42 @@ class GenerateImagesFunction(BaseAIFunction):
if not tasks:
raise ValueError("No tasks found")
# Get image generation settings from AISettings (with account overrides)
from igny8_core.modules.system.ai_settings import AISettings
from igny8_core.ai.model_registry import ModelRegistry
# Get image generation settings
image_settings = {}
if account:
try:
from igny8_core.modules.system.models import IntegrationSettings
integration = IntegrationSettings.objects.get(
account=account,
integration_type='image_generation',
is_active=True
)
image_settings = integration.config or {}
except Exception:
pass
# Get effective settings (AISettings + AccountSettings overrides)
image_style = AISettings.get_effective_image_style(account)
max_images = AISettings.get_effective_max_images(account)
# Get default image model and provider from database
default_model = ModelRegistry.get_default_model('image')
if default_model:
model_config = ModelRegistry.get_model(default_model)
provider = model_config.provider if model_config else 'openai'
model = default_model
# Extract settings with defaults
provider = image_settings.get('provider') or image_settings.get('service', 'openai')
if provider == 'runware':
model = image_settings.get('model') or image_settings.get('runwareModel', 'runware:97@1')
else:
provider = 'openai'
model = 'dall-e-3'
logger.info(f"Using image settings: provider={provider}, model={model}, style={image_style}, max={max_images}")
model = image_settings.get('model', 'dall-e-3')
return {
'tasks': tasks,
'account': account,
'provider': provider,
'model': model,
'image_type': image_style,
'max_in_article_images': max_images,
'image_type': image_settings.get('image_type', 'realistic'),
'max_in_article_images': int(image_settings.get('max_in_article_images', 2)),
'desktop_enabled': image_settings.get('desktop_enabled', True),
'mobile_enabled': image_settings.get('mobile_enabled', True),
}
def build_prompt(self, data: Dict, account=None) -> Dict:
"""Extract image prompts from task content"""
task = data.get('task')
max_images = data.get('max_in_article_images')
max_images = data.get('max_in_article_images', 2)
if not task or not task.content:
raise ValueError("Task has no content")

View File

@@ -1,167 +0,0 @@
"""
Optimize Content AI Function
Phase 4 Linker & Optimizer
"""
import json
import logging
from typing import Any, Dict
from igny8_core.ai.base import BaseAIFunction
from igny8_core.ai.prompts import PromptRegistry
from igny8_core.business.content.models import Content
logger = logging.getLogger(__name__)
class OptimizeContentFunction(BaseAIFunction):
"""AI function that optimizes content for SEO, readability, and engagement."""
def get_name(self) -> str:
return 'optimize_content'
def get_metadata(self) -> Dict:
metadata = super().get_metadata()
metadata.update({
'display_name': 'Optimize Content',
'description': 'Optimize content for SEO, readability, and engagement.',
'phases': {
'INIT': 'Validating content data…',
'PREP': 'Preparing content context…',
'AI_CALL': 'Optimizing content with AI…',
'PARSE': 'Parsing optimized content…',
'SAVE': 'Saving optimized content…',
'DONE': 'Content optimized!'
}
})
return metadata
def validate(self, payload: dict, account=None) -> Dict[str, Any]:
if not payload.get('ids'):
return {'valid': False, 'error': 'Content ID is required'}
return {'valid': True}
def prepare(self, payload: dict, account=None) -> Dict[str, Any]:
content_ids = payload.get('ids', [])
queryset = Content.objects.filter(id__in=content_ids)
if account:
queryset = queryset.filter(account=account)
content = queryset.select_related('account', 'site', 'sector').first()
if not content:
raise ValueError("Content not found")
# Get current scores from analyzer
from igny8_core.business.optimization.services.analyzer import ContentAnalyzer
analyzer = ContentAnalyzer()
scores_before = analyzer.analyze(content)
return {
'content': content,
'scores_before': scores_before,
'html_content': content.html_content or '',
'meta_title': content.meta_title or '',
'meta_description': content.meta_description or '',
'primary_keyword': content.primary_keyword or '',
}
def build_prompt(self, data: Dict[str, Any], account=None) -> str:
content: Content = data['content']
scores_before = data.get('scores_before', {})
context = {
'CONTENT_TITLE': content.title or 'Untitled',
'HTML_CONTENT': data.get('html_content', ''),
'META_TITLE': data.get('meta_title', ''),
'META_DESCRIPTION': data.get('meta_description', ''),
'PRIMARY_KEYWORD': data.get('primary_keyword', ''),
'WORD_COUNT': str(content.word_count or 0),
'CURRENT_SCORES': json.dumps(scores_before, indent=2),
'SOURCE': content.source,
'INTERNAL_LINKS_COUNT': str(len(content.internal_links) if content.internal_links else 0),
}
return PromptRegistry.get_prompt(
'optimize_content',
account=account or content.account,
context=context
)
def parse_response(self, response: str, step_tracker=None) -> Dict[str, Any]:
if not response:
raise ValueError("AI response is empty")
response = response.strip()
try:
return self._ensure_dict(json.loads(response))
except json.JSONDecodeError:
logger.warning("Response not valid JSON, attempting to extract JSON object")
cleaned = self._extract_json_object(response)
if cleaned:
return self._ensure_dict(json.loads(cleaned))
raise ValueError("Unable to parse AI response into JSON")
def save_output(
self,
parsed: Dict[str, Any],
original_data: Dict[str, Any],
account=None,
progress_tracker=None,
step_tracker=None
) -> Dict[str, Any]:
content: Content = original_data['content']
# Extract optimized content
optimized_html = parsed.get('html_content') or parsed.get('content') or content.html_content
optimized_meta_title = parsed.get('meta_title') or content.meta_title
optimized_meta_description = parsed.get('meta_description') or content.meta_description
# Update content
content.html_content = optimized_html
if optimized_meta_title:
content.meta_title = optimized_meta_title
if optimized_meta_description:
content.meta_description = optimized_meta_description
# Recalculate word count
from igny8_core.business.content.services.content_generation_service import ContentGenerationService
content_service = ContentGenerationService()
content.word_count = content_service._count_words(optimized_html)
# Increment optimizer version
content.optimizer_version += 1
# Get scores after optimization
from igny8_core.business.optimization.services.analyzer import ContentAnalyzer
analyzer = ContentAnalyzer()
scores_after = analyzer.analyze(content)
content.optimization_scores = scores_after
content.save(update_fields=[
'html_content', 'meta_title', 'meta_description',
'word_count', 'optimizer_version', 'optimization_scores', 'updated_at'
])
return {
'success': True,
'content_id': content.id,
'scores_before': original_data.get('scores_before', {}),
'scores_after': scores_after,
'word_count_before': original_data.get('word_count', 0),
'word_count_after': content.word_count,
'html_content': optimized_html,
'meta_title': optimized_meta_title,
'meta_description': optimized_meta_description,
}
# Helper methods
def _ensure_dict(self, data: Any) -> Dict[str, Any]:
if isinstance(data, dict):
return data
raise ValueError("AI response must be a JSON object")
def _extract_json_object(self, text: str) -> str:
start = text.find('{')
end = text.rfind('}')
if start != -1 and end != -1 and end > start:
return text[start:end + 1]
return ''

View File

@@ -1,2 +0,0 @@
# AI functions tests

View File

@@ -1,179 +0,0 @@
"""
Tests for OptimizeContentFunction
"""
from unittest.mock import Mock, patch, MagicMock
from django.test import TestCase
from igny8_core.business.content.models import Content
from igny8_core.ai.functions.optimize_content import OptimizeContentFunction
from igny8_core.api.tests.test_integration_base import IntegrationTestBase
class OptimizeContentFunctionTests(IntegrationTestBase):
"""Tests for OptimizeContentFunction"""
def setUp(self):
super().setUp()
self.function = OptimizeContentFunction()
# Create test content
self.content = Content.objects.create(
account=self.account,
site=self.site,
sector=self.sector,
title="Test Content",
html_content="<p>This is test content.</p>",
meta_title="Test Title",
meta_description="Test description",
primary_keyword="test keyword",
word_count=500,
status='draft'
)
def test_function_validation_phase(self):
"""Test validation phase"""
# Valid payload
result = self.function.validate({'ids': [self.content.id]}, self.account)
self.assertTrue(result['valid'])
# Invalid payload - missing ids
result = self.function.validate({}, self.account)
self.assertFalse(result['valid'])
self.assertIn('error', result)
def test_function_prep_phase(self):
"""Test prep phase"""
payload = {'ids': [self.content.id]}
data = self.function.prepare(payload, self.account)
self.assertIn('content', data)
self.assertIn('scores_before', data)
self.assertIn('html_content', data)
self.assertEqual(data['content'].id, self.content.id)
def test_function_prep_phase_content_not_found(self):
"""Test prep phase with non-existent content"""
payload = {'ids': [99999]}
with self.assertRaises(ValueError):
self.function.prepare(payload, self.account)
@patch('igny8_core.ai.functions.optimize_content.PromptRegistry.get_prompt')
def test_function_build_prompt(self, mock_get_prompt):
"""Test prompt building"""
mock_get_prompt.return_value = "Test prompt"
data = {
'content': self.content,
'html_content': '<p>Test</p>',
'meta_title': 'Title',
'meta_description': 'Description',
'primary_keyword': 'keyword',
'scores_before': {'overall_score': 50.0}
}
prompt = self.function.build_prompt(data, self.account)
self.assertEqual(prompt, "Test prompt")
mock_get_prompt.assert_called_once()
# Check that context was passed
call_args = mock_get_prompt.call_args
self.assertIn('context', call_args.kwargs)
def test_function_parse_response_valid_json(self):
"""Test parsing valid JSON response"""
response = '{"html_content": "<p>Optimized</p>", "meta_title": "New Title"}'
parsed = self.function.parse_response(response)
self.assertIn('html_content', parsed)
self.assertEqual(parsed['html_content'], "<p>Optimized</p>")
self.assertEqual(parsed['meta_title'], "New Title")
def test_function_parse_response_invalid_json(self):
"""Test parsing invalid JSON response"""
response = "This is not JSON"
with self.assertRaises(ValueError):
self.function.parse_response(response)
def test_function_parse_response_extracts_json_object(self):
"""Test that JSON object is extracted from text"""
response = 'Some text {"html_content": "<p>Optimized</p>"} more text'
parsed = self.function.parse_response(response)
self.assertIn('html_content', parsed)
self.assertEqual(parsed['html_content'], "<p>Optimized</p>")
@patch('igny8_core.business.optimization.services.analyzer.ContentAnalyzer.analyze')
@patch('igny8_core.business.content.services.content_generation_service.ContentGenerationService._count_words')
def test_function_save_phase(self, mock_count_words, mock_analyze):
"""Test save phase updates content"""
mock_count_words.return_value = 600
mock_analyze.return_value = {
'seo_score': 75.0,
'readability_score': 80.0,
'engagement_score': 70.0,
'overall_score': 75.0
}
parsed = {
'html_content': '<p>Optimized content.</p>',
'meta_title': 'Optimized Title',
'meta_description': 'Optimized Description'
}
original_data = {
'content': self.content,
'scores_before': {'overall_score': 50.0},
'word_count': 500
}
result = self.function.save_output(parsed, original_data, self.account)
self.assertTrue(result['success'])
self.assertEqual(result['content_id'], self.content.id)
# Refresh content from DB
self.content.refresh_from_db()
self.assertEqual(self.content.html_content, '<p>Optimized content.</p>')
self.assertEqual(self.content.optimizer_version, 1)
self.assertIsNotNone(self.content.optimization_scores)
def test_function_handles_invalid_content_id(self):
"""Test that function handles invalid content ID"""
payload = {'ids': [99999]}
with self.assertRaises(ValueError):
self.function.prepare(payload, self.account)
def test_function_respects_account_isolation(self):
"""Test that function respects account isolation"""
from igny8_core.auth.models import Account
other_account = Account.objects.create(
name="Other Account",
slug="other",
plan=self.plan,
owner=self.user
)
payload = {'ids': [self.content.id]}
# Should not find content from different account
with self.assertRaises(ValueError):
self.function.prepare(payload, other_account)
def test_get_name(self):
"""Test get_name method"""
self.assertEqual(self.function.get_name(), 'optimize_content')
def test_get_metadata(self):
"""Test get_metadata method"""
metadata = self.function.get_metadata()
self.assertIn('display_name', metadata)
self.assertIn('description', metadata)
self.assertIn('phases', metadata)
self.assertEqual(metadata['display_name'], 'Optimize Content')

View File

@@ -1,39 +0,0 @@
# Generated by Django 5.2.8 on 2025-11-20 23:27
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='AITaskLog',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created_at', models.DateTimeField(auto_now_add=True, db_index=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('task_id', models.CharField(blank=True, db_index=True, max_length=255, null=True)),
('function_name', models.CharField(db_index=True, max_length=100)),
('phase', models.CharField(default='INIT', max_length=50)),
('message', models.TextField(blank=True)),
('status', models.CharField(choices=[('success', 'Success'), ('error', 'Error'), ('pending', 'Pending')], default='pending', max_length=20)),
('duration', models.IntegerField(blank=True, help_text='Duration in milliseconds', null=True)),
('cost', models.DecimalField(decimal_places=6, default=0.0, max_digits=10)),
('tokens', models.IntegerField(default=0)),
('request_steps', models.JSONField(blank=True, default=list)),
('response_steps', models.JSONField(blank=True, default=list)),
('error', models.TextField(blank=True, null=True)),
('payload', models.JSONField(blank=True, null=True)),
('result', models.JSONField(blank=True, null=True)),
],
options={
'db_table': 'igny8_ai_task_logs',
'ordering': ['-created_at'],
},
),
]

View File

@@ -1,34 +0,0 @@
# Generated by Django 5.2.8 on 2025-11-20 23:27
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('ai', '0001_initial'),
('igny8_core_auth', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='aitasklog',
name='account',
field=models.ForeignKey(db_column='tenant_id', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.account'),
),
migrations.AddIndex(
model_name='aitasklog',
index=models.Index(fields=['task_id'], name='igny8_ai_ta_task_id_310356_idx'),
),
migrations.AddIndex(
model_name='aitasklog',
index=models.Index(fields=['function_name', 'account'], name='igny8_ai_ta_functio_0e5a30_idx'),
),
migrations.AddIndex(
model_name='aitasklog',
index=models.Index(fields=['status', 'created_at'], name='igny8_ai_ta_status_ed93b5_idx'),
),
]

View File

@@ -1,377 +0,0 @@
"""
Model Registry Service
Central registry for AI model configurations with caching.
This service provides:
- Database-driven model configuration (from AIModelConfig)
- Integration provider API key retrieval (from IntegrationProvider)
- Caching for performance
- Cost calculation methods
Usage:
from igny8_core.ai.model_registry import ModelRegistry
# Get model config
model = ModelRegistry.get_model('gpt-4o-mini')
# Get rate
input_rate = ModelRegistry.get_rate('gpt-4o-mini', 'input')
# Calculate cost
cost = ModelRegistry.calculate_cost('gpt-4o-mini', input_tokens=1000, output_tokens=500)
# Get API key for a provider
api_key = ModelRegistry.get_api_key('openai')
"""
import logging
from decimal import Decimal
from typing import Optional, Dict, Any
from django.core.cache import cache
logger = logging.getLogger(__name__)
# Cache TTL in seconds (5 minutes)
MODEL_CACHE_TTL = 300
# Cache key prefix
CACHE_KEY_PREFIX = 'ai_model_'
PROVIDER_CACHE_PREFIX = 'provider_'
class ModelRegistry:
"""
Central registry for AI model configurations with caching.
Uses AIModelConfig from database for model configs.
Uses IntegrationProvider for API keys.
"""
@classmethod
def _get_cache_key(cls, model_id: str) -> str:
"""Generate cache key for model"""
return f"{CACHE_KEY_PREFIX}{model_id}"
@classmethod
def _get_provider_cache_key(cls, provider_id: str) -> str:
"""Generate cache key for provider"""
return f"{PROVIDER_CACHE_PREFIX}{provider_id}"
@classmethod
def _get_from_db(cls, model_id: str) -> Optional[Any]:
"""Get model config from database"""
try:
from igny8_core.business.billing.models import AIModelConfig
return AIModelConfig.objects.filter(
model_name=model_id,
is_active=True
).first()
except Exception as e:
logger.debug(f"Could not fetch model {model_id} from DB: {e}")
return None
@classmethod
def get_model(cls, model_id: str) -> Optional[Any]:
"""
Get model configuration by model_id.
Order of lookup:
1. Cache
2. Database (AIModelConfig)
Args:
model_id: The model identifier (e.g., 'gpt-4o-mini', 'dall-e-3')
Returns:
AIModelConfig instance, None if not found
"""
cache_key = cls._get_cache_key(model_id)
# Try cache first
cached = cache.get(cache_key)
if cached is not None:
return cached
# Try database
model_config = cls._get_from_db(model_id)
if model_config:
cache.set(cache_key, model_config, MODEL_CACHE_TTL)
return model_config
logger.warning(f"Model {model_id} not found in database")
return None
@classmethod
def get_rate(cls, model_id: str, rate_type: str) -> Decimal:
"""
Get specific rate for a model.
Args:
model_id: The model identifier
rate_type: 'input', 'output' (for text models) or 'image' (for image models)
Returns:
Decimal rate value, 0 if not found
"""
model = cls.get_model(model_id)
if not model:
return Decimal('0')
# Handle AIModelConfig instance
if rate_type == 'input':
return model.input_cost_per_1m or Decimal('0')
elif rate_type == 'output':
return model.output_cost_per_1m or Decimal('0')
elif rate_type == 'image':
return model.cost_per_image or Decimal('0')
return Decimal('0')
@classmethod
def calculate_cost(cls, model_id: str, input_tokens: int = 0, output_tokens: int = 0, num_images: int = 0) -> Decimal:
"""
Calculate cost for model usage.
For text models: Uses input/output token counts
For image models: Uses num_images
Args:
model_id: The model identifier
input_tokens: Number of input tokens (for text models)
output_tokens: Number of output tokens (for text models)
num_images: Number of images (for image models)
Returns:
Decimal cost in USD
"""
model = cls.get_model(model_id)
if not model:
return Decimal('0')
# Get model type from AIModelConfig
model_type = model.model_type
if model_type == 'text':
input_rate = cls.get_rate(model_id, 'input')
output_rate = cls.get_rate(model_id, 'output')
cost = (
(Decimal(input_tokens) * input_rate) +
(Decimal(output_tokens) * output_rate)
) / Decimal('1000000')
return cost
elif model_type == 'image':
image_rate = cls.get_rate(model_id, 'image')
return image_rate * Decimal(num_images)
return Decimal('0')
@classmethod
def get_default_model(cls, model_type: str = 'text') -> Optional[str]:
"""
Get the default model for a given type from database.
Args:
model_type: 'text' or 'image'
Returns:
model_id string or None
"""
try:
from igny8_core.business.billing.models import AIModelConfig
default = AIModelConfig.objects.filter(
model_type=model_type,
is_active=True,
is_default=True
).first()
if default:
return default.model_name
# If no default is set, return first active model of this type
first_active = AIModelConfig.objects.filter(
model_type=model_type,
is_active=True
).order_by('model_name').first()
if first_active:
return first_active.model_name
except Exception as e:
logger.error(f"Could not get default {model_type} model from DB: {e}")
return None
@classmethod
def list_models(cls, model_type: Optional[str] = None, provider: Optional[str] = None) -> list:
"""
List all available models from database, optionally filtered by type or provider.
Args:
model_type: Filter by 'text', 'image', or 'embedding'
provider: Filter by 'openai', 'anthropic', 'runware', etc.
Returns:
List of AIModelConfig instances
"""
try:
from igny8_core.business.billing.models import AIModelConfig
queryset = AIModelConfig.objects.filter(is_active=True)
if model_type:
queryset = queryset.filter(model_type=model_type)
if provider:
queryset = queryset.filter(provider=provider)
return list(queryset.order_by('model_name'))
except Exception as e:
logger.error(f"Could not list models from DB: {e}")
return []
@classmethod
def clear_cache(cls, model_id: Optional[str] = None):
"""
Clear model cache.
Args:
model_id: Clear specific model cache, or all if None
"""
if model_id:
cache.delete(cls._get_cache_key(model_id))
else:
# Clear all model caches - use pattern if available
try:
from django.core.cache import caches
default_cache = caches['default']
if hasattr(default_cache, 'delete_pattern'):
default_cache.delete_pattern(f"{CACHE_KEY_PREFIX}*")
else:
# Fallback: clear all known models from DB
from igny8_core.business.billing.models import AIModelConfig
for model in AIModelConfig.objects.values_list('model_name', flat=True):
cache.delete(cls._get_cache_key(model))
except Exception as e:
logger.warning(f"Could not clear all model caches: {e}")
@classmethod
def validate_model(cls, model_id: str) -> bool:
"""
Check if a model ID is valid and active.
Args:
model_id: The model identifier to validate
Returns:
True if model exists and is active, False otherwise
"""
model = cls.get_model(model_id)
if not model:
return False
return model.is_active
# ========== IntegrationProvider methods ==========
@classmethod
def get_provider(cls, provider_id: str) -> Optional[Any]:
"""
Get IntegrationProvider by provider_id.
Args:
provider_id: The provider identifier (e.g., 'openai', 'stripe', 'resend')
Returns:
IntegrationProvider instance, None if not found
"""
cache_key = cls._get_provider_cache_key(provider_id)
# Try cache first
cached = cache.get(cache_key)
if cached is not None:
return cached
try:
from igny8_core.modules.system.models import IntegrationProvider
provider = IntegrationProvider.objects.filter(
provider_id=provider_id,
is_active=True
).first()
if provider:
cache.set(cache_key, provider, MODEL_CACHE_TTL)
return provider
except Exception as e:
logger.error(f"Could not fetch provider {provider_id} from DB: {e}")
return None
@classmethod
def get_api_key(cls, provider_id: str) -> Optional[str]:
"""
Get API key for a provider.
Args:
provider_id: The provider identifier (e.g., 'openai', 'anthropic', 'runware')
Returns:
API key string, None if not found or provider is inactive
"""
provider = cls.get_provider(provider_id)
if provider and provider.api_key:
return provider.api_key
return None
@classmethod
def get_api_secret(cls, provider_id: str) -> Optional[str]:
"""
Get API secret for a provider (for OAuth, Stripe secret key, etc.).
Args:
provider_id: The provider identifier
Returns:
API secret string, None if not found
"""
provider = cls.get_provider(provider_id)
if provider and provider.api_secret:
return provider.api_secret
return None
@classmethod
def get_webhook_secret(cls, provider_id: str) -> Optional[str]:
"""
Get webhook secret for a provider (for Stripe, PayPal webhooks).
Args:
provider_id: The provider identifier
Returns:
Webhook secret string, None if not found
"""
provider = cls.get_provider(provider_id)
if provider and provider.webhook_secret:
return provider.webhook_secret
return None
@classmethod
def clear_provider_cache(cls, provider_id: Optional[str] = None):
"""
Clear provider cache.
Args:
provider_id: Clear specific provider cache, or all if None
"""
if provider_id:
cache.delete(cls._get_provider_cache_key(provider_id))
else:
try:
from django.core.cache import caches
default_cache = caches['default']
if hasattr(default_cache, 'delete_pattern'):
default_cache.delete_pattern(f"{PROVIDER_CACHE_PREFIX}*")
else:
from igny8_core.modules.system.models import IntegrationProvider
for pid in IntegrationProvider.objects.values_list('provider_id', flat=True):
cache.delete(cls._get_provider_cache_key(pid))
except Exception as e:
logger.warning(f"Could not clear provider caches: {e}")

View File

@@ -1,9 +1,9 @@
"""
Prompt Registry - Centralized prompt management with override hierarchy
Supports: task-level overrides → DB prompts → GlobalAIPrompt (REQUIRED)
Supports: task-level overrides → DB prompts → default fallbacks
"""
import logging
from typing import Dict, Any, Optional, Tuple
from typing import Dict, Any, Optional
from django.db import models
logger = logging.getLogger(__name__)
@@ -14,12 +14,259 @@ class PromptRegistry:
Centralized prompt registry with hierarchical resolution:
1. Task-level prompt_override (if exists)
2. DB prompt for (account, function)
3. GlobalAIPrompt (REQUIRED - no hardcoded fallbacks)
3. Default fallback from registry
"""
# Default prompts stored in registry
DEFAULT_PROMPTS = {
'clustering': """You are a semantic strategist and SEO architecture engine. Your task is to analyze the provided keyword list and group them into meaningful, intent-driven topic clusters that reflect how real users search, think, and act online.
# Removed ALL hardcoded prompts - GlobalAIPrompt is now the ONLY source of default prompts
# To add/modify prompts, use Django admin: /admin/system/globalaiprompt/
Return a single JSON object with a "clusters" array. Each cluster must follow this structure:
{
"name": "[Descriptive cluster name — natural, SEO-relevant, clearly expressing the topic]",
"description": "[12 concise sentences explaining what this cluster covers and why these keywords belong together]",
"keywords": ["keyword 1", "keyword 2", "keyword 3", "..."]
}
CLUSTERING STRATEGY:
1. Keyword-first, structure-follows:
- Do NOT rely on assumed categories or existing content structures.
- Begin purely from the meaning, intent, and behavioral connection between keywords.
2. Use multi-dimensional grouping logic:
- Group keywords by these behavioral dimensions:
• Search Intent → informational, commercial, transactional, navigational
• Use-Case or Problem → what the user is trying to achieve or solve
• Function or Feature → how something works or what it does
• Persona or Audience → who the content or product serves
• Context → location, time, season, platform, or device
- Combine 23 dimensions naturally where they make sense.
3. Model real search behavior:
- Favor clusters that form natural user journeys such as:
• Problem ➝ Solution
• General ➝ Specific
• Product ➝ Use-case
• Buyer ➝ Benefit
• Tool ➝ Function
• Task ➝ Method
- Each cluster should feel like a real topic hub users would explore in depth.
4. Avoid superficial groupings:
- Do not cluster keywords just because they share words.
- Do not force-fit outliers or unrelated keywords.
- Exclude keywords that don't logically connect to any cluster.
5. Quality rules:
- Each cluster should include between 310 strongly related keywords.
- Never duplicate a keyword across multiple clusters.
- Prioritize semantic strength, search intent, and usefulness for SEO-driven content structure.
- It's better to output fewer, high-quality clusters than many weak or shallow ones.
INPUT FORMAT:
{
"keywords": [IGNY8_KEYWORDS]
}
OUTPUT FORMAT:
Return ONLY the final JSON object in this format:
{
"clusters": [
{
"name": "...",
"description": "...",
"keywords": ["...", "...", "..."]
}
]
}
Do not include any explanations, text, or commentary outside the JSON output.
""",
'ideas': """Generate SEO-optimized, high-quality content ideas and outlines for each keyword cluster.
Input:
Clusters: [IGNY8_CLUSTERS]
Keywords: [IGNY8_CLUSTER_KEYWORDS]
Output: JSON with "ideas" array.
Each cluster → 1 cluster_hub + 24 supporting ideas.
Each idea must include:
title, description, content_type, content_structure, cluster_id, estimated_word_count (15002200), and covered_keywords.
Outline Rules:
Intro: 1 hook (3040 words) + 2 intro paragraphs (5060 words each).
58 H2 sections, each with 23 H3s.
Each H2 ≈ 250300 words, mixed content (paragraphs, lists, tables, blockquotes).
Vary section format and tone; no bullets or lists at start.
Tables have columns; blockquotes = expert POV or data insight.
Use depth, examples, and real context.
Avoid repetitive structure.
Tone: Professional editorial flow. No generic phrasing. Use varied sentence openings and realistic examples.
Output JSON Example:
{
"ideas": [
{
"title": "Best Organic Cotton Duvet Covers for All Seasons",
"description": {
"introduction": {
"hook": "Transform your sleep with organic cotton that blends comfort and sustainability.",
"paragraphs": [
{"content_type": "paragraph", "details": "Overview of organic cotton's rise in bedding industry."},
{"content_type": "paragraph", "details": "Why consumers prefer organic bedding over synthetic alternatives."}
]
},
"H2": [
{
"heading": "Why Choose Organic Cotton for Bedding?",
"subsections": [
{"subheading": "Health and Skin Benefits", "content_type": "paragraph", "details": "Discuss hypoallergenic and chemical-free aspects."},
{"subheading": "Environmental Sustainability", "content_type": "list", "details": "Eco benefits like low water use, no pesticides."},
{"subheading": "Long-Term Cost Savings", "content_type": "table", "details": "Compare durability and pricing over time."}
]
}
]
},
"content_type": "post",
"content_structure": "review",
"cluster_id": 12,
"estimated_word_count": 1800,
"covered_keywords": "organic duvet covers, eco-friendly bedding, sustainable sheets"
}
]
}""",
'content_generation': """You are an editorial content strategist. Your task is to generate a complete JSON response object that includes all the fields listed below, based on the provided content idea, keyword cluster, and keyword list.
Only the `content` field should contain HTML inside JSON object.
==================
Generate a complete JSON response object matching this structure:
==================
{
"title": "[Blog title using the primary keyword — full sentence case]",
"meta_title": "[Meta title under 60 characters — natural, optimized, and compelling]",
"meta_description": "[Meta description under 160 characters — clear and enticing summary]",
"content": "[HTML content — full editorial structure with <p>, <h2>, <h3>, <ul>, <ol>, <table>]",
"word_count": [Exact integer — word count of HTML body only],
"primary_keyword": "[Single primary keyword used in title and first paragraph]",
"secondary_keywords": [
"[Keyword 1]",
"[Keyword 2]",
"[Keyword 3]"
],
"tags": [
"[24 word lowercase tag 1]",
"[24 word lowercase tag 2]",
"[24 word lowercase tag 3]",
"[24 word lowercase tag 4]",
"[24 word lowercase tag 5]"
],
"categories": [
"[Parent Category > Child Category]",
"[Optional Second Category > Optional Subcategory]"
]
}
===========================
CONTENT FLOW RULES
===========================
**INTRODUCTION:**
- Start with 1 italicized hook (3040 words)
- Follow with 2 narrative paragraphs (each 5060 words; 23 sentences max)
- No headings allowed in intro
**H2 SECTIONS (58 total):**
Each section should be 250300 words and follow this format:
1. Two narrative paragraphs (80120 words each, 23 sentences)
2. One list or table (must come *after* a paragraph)
3. Optional closing paragraph (4060 words)
4. Insert 23 subsections naturally after main paragraphs
**Formatting Rules:**
- Vary use of unordered lists, ordered lists, and tables across sections
- Never begin any section or sub-section with a list or table
===========================
KEYWORD & SEO RULES
===========================
- **Primary keyword** must appear in:
- The title
- First paragraph of the introduction
- At least 2 H2 headings
- **Secondary keywords** must be used naturally, not forced
- **Tone & style guidelines:**
- No robotic or passive voice
- Avoid generic intros like "In today's world…"
- Don't repeat heading in opening sentence
- Vary sentence structure and length
===========================
INPUT VARIABLES
===========================
CONTENT IDEA DETAILS:
[IGNY8_IDEA]
KEYWORD CLUSTER:
[IGNY8_CLUSTER]
ASSOCIATED KEYWORDS:
[IGNY8_KEYWORDS]
===========================
OUTPUT FORMAT
===========================
Return ONLY the final JSON object.
Do NOT include any comments, formatting, or explanations.""",
'image_prompt_extraction': """Extract image prompts from the following article content.
ARTICLE TITLE: {title}
ARTICLE CONTENT:
{content}
Extract image prompts for:
1. Featured Image: One main image that represents the article topic
2. In-Article Images: Up to {max_images} images that would be useful within the article content
Return a JSON object with this structure:
{{
"featured_prompt": "Detailed description of the featured image",
"in_article_prompts": [
"Description of first in-article image",
"Description of second in-article image",
...
]
}}
Make sure each prompt is detailed enough for image generation, describing the visual elements, style, mood, and composition.""",
'image_prompt_template': 'Create a high-quality {image_type} image to use as a featured photo for a blog post titled "{post_title}". The image should visually represent the theme, mood, and subject implied by the image prompt: {image_prompt}. Focus on a realistic, well-composed scene that naturally communicates the topic without text or logos. Use balanced lighting, pleasing composition, and photographic detail suitable for lifestyle or editorial web content. Avoid adding any visible or readable text, brand names, or illustrative effects. **And make sure image is not blurry.**',
'negative_prompt': 'text, watermark, logo, overlay, title, caption, writing on walls, writing on objects, UI, infographic elements, post title',
}
# Mapping from function names to prompt types
FUNCTION_TO_PROMPT_TYPE = {
'auto_cluster': 'clustering',
@@ -28,121 +275,8 @@ class PromptRegistry:
'generate_images': 'image_prompt_extraction',
'extract_image_prompts': 'image_prompt_extraction',
'generate_image_prompts': 'image_prompt_extraction',
'generate_site_structure': 'site_structure_generation',
'optimize_content': 'optimize_content',
# Phase 8: Universal Content Types
'generate_product_content': 'product_generation',
'generate_service_page': 'service_generation',
'generate_taxonomy': 'taxonomy_generation',
}
# Mapping of prompt types to their prefix numbers and display names
# Format: {prompt_type: (number, display_name)}
# GP = Global Prompt, CP = Custom Prompt
PROMPT_PREFIX_MAP = {
'clustering': ('01', 'Clustering'),
'ideas': ('02', 'Ideas'),
'content_generation': ('03', 'ContentGen'),
'image_prompt_extraction': ('04', 'ImagePrompts'),
'site_structure_generation': ('05', 'SiteStructure'),
'optimize_content': ('06', 'OptimizeContent'),
'product_generation': ('07', 'ProductGen'),
'service_generation': ('08', 'ServiceGen'),
'taxonomy_generation': ('09', 'TaxonomyGen'),
'image_prompt_template': ('10', 'ImageTemplate'),
'negative_prompt': ('11', 'NegativePrompt'),
}
@classmethod
def get_prompt_prefix(cls, prompt_type: str, is_custom: bool) -> str:
"""
Generate prompt prefix for tracking.
Args:
prompt_type: The prompt type (e.g., 'clustering', 'ideas')
is_custom: True if using custom/account-specific prompt, False if global
Returns:
Prefix string like "##GP01-Clustering" or "##CP01-Clustering"
"""
prefix_info = cls.PROMPT_PREFIX_MAP.get(prompt_type, ('00', prompt_type.title()))
number, display_name = prefix_info
prefix_type = 'CP' if is_custom else 'GP'
return f"##{prefix_type}{number}-{display_name}"
@classmethod
def get_prompt_with_metadata(
cls,
function_name: str,
account: Optional[Any] = None,
task: Optional[Any] = None,
context: Optional[Dict[str, Any]] = None
) -> Tuple[str, bool, str]:
"""
Get prompt for a function with metadata about source.
Priority:
1. task.prompt_override (if task provided and has override)
2. DB prompt for (account, function) - marked as custom if is_customized=True
3. GlobalAIPrompt (REQUIRED - no hardcoded fallbacks)
Args:
function_name: AI function name (e.g., 'auto_cluster', 'generate_ideas')
account: Account object (optional)
task: Task object with optional prompt_override (optional)
context: Additional context for prompt rendering (optional)
Returns:
Tuple of (prompt_string, is_custom, prompt_type)
- prompt_string: The rendered prompt
- is_custom: True if using custom/account prompt, False if global
- prompt_type: The prompt type identifier
"""
# Step 1: Get prompt type
prompt_type = cls.FUNCTION_TO_PROMPT_TYPE.get(function_name, function_name)
# Step 2: Check task-level override (always considered custom)
if task and hasattr(task, 'prompt_override') and task.prompt_override:
logger.info(f"Using task-level prompt override for {function_name}")
prompt = task.prompt_override
return cls._render_prompt(prompt, context or {}), True, prompt_type
# Step 3: Try DB prompt (account-specific)
if account:
try:
from igny8_core.modules.system.models import AIPrompt
db_prompt = AIPrompt.objects.get(
account=account,
prompt_type=prompt_type,
is_active=True
)
# Check if prompt is customized
is_custom = db_prompt.is_customized
logger.info(f"Using {'customized' if is_custom else 'default'} account prompt for {function_name} (account {account.id})")
prompt = db_prompt.prompt_value
return cls._render_prompt(prompt, context or {}), is_custom, prompt_type
except Exception as e:
logger.debug(f"No account-specific prompt found for {function_name}: {e}")
# Step 4: Try GlobalAIPrompt (platform-wide default) - REQUIRED
try:
from igny8_core.modules.system.global_settings_models import GlobalAIPrompt
global_prompt = GlobalAIPrompt.objects.get(
prompt_type=prompt_type,
is_active=True
)
logger.info(f"Using global default prompt for {function_name} from GlobalAIPrompt")
prompt = global_prompt.prompt_value
return cls._render_prompt(prompt, context or {}), False, prompt_type
except Exception as e:
error_msg = (
f"ERROR: Global prompt '{prompt_type}' not found for function '{function_name}'. "
f"Please configure it in Django admin at: /admin/system/globalaiprompt/. "
f"Error: {e}"
)
logger.error(error_msg)
raise ValueError(error_msg)
@classmethod
def get_prompt(
cls,
@@ -153,23 +287,51 @@ class PromptRegistry:
) -> str:
"""
Get prompt for a function with hierarchical resolution.
Priority:
1. task.prompt_override (if task provided and has override)
2. DB prompt for (account, function)
3. GlobalAIPrompt (REQUIRED - no hardcoded fallbacks)
3. Default fallback from registry
Args:
function_name: AI function name (e.g., 'auto_cluster', 'generate_ideas')
account: Account object (optional)
task: Task object with optional prompt_override (optional)
context: Additional context for prompt rendering (optional)
Returns:
Prompt string ready for formatting
"""
prompt, _, _ = cls.get_prompt_with_metadata(function_name, account, task, context)
return prompt
# Step 1: Check task-level override
if task and hasattr(task, 'prompt_override') and task.prompt_override:
logger.info(f"Using task-level prompt override for {function_name}")
prompt = task.prompt_override
return cls._render_prompt(prompt, context or {})
# Step 2: Get prompt type
prompt_type = cls.FUNCTION_TO_PROMPT_TYPE.get(function_name, function_name)
# Step 3: Try DB prompt
if account:
try:
from igny8_core.modules.system.models import AIPrompt
db_prompt = AIPrompt.objects.get(
account=account,
prompt_type=prompt_type,
is_active=True
)
logger.info(f"Using DB prompt for {function_name} (account {account.id})")
prompt = db_prompt.prompt_value
return cls._render_prompt(prompt, context or {})
except Exception as e:
logger.debug(f"No DB prompt found for {function_name}: {e}")
# Step 4: Use default fallback
prompt = cls.DEFAULT_PROMPTS.get(prompt_type, '')
if not prompt:
logger.warning(f"No default prompt found for {prompt_type}, using empty string")
return cls._render_prompt(prompt, context or {})
@classmethod
def _render_prompt(cls, prompt_template: str, context: Dict[str, Any]) -> str:
@@ -208,7 +370,7 @@ class PromptRegistry:
if '{' in rendered and '}' in rendered:
try:
rendered = rendered.format(**normalized_context)
except (KeyError, ValueError, IndexError) as e:
except (KeyError, ValueError) as e:
# If .format() fails, log warning but keep the [IGNY8_*] replacements
logger.warning(f"Failed to format prompt with .format(): {e}. Using [IGNY8_*] replacements only.")
@@ -235,17 +397,8 @@ class PromptRegistry:
except Exception:
pass
# Try GlobalAIPrompt
try:
from igny8_core.modules.system.global_settings_models import GlobalAIPrompt
global_prompt = GlobalAIPrompt.objects.get(
prompt_type=prompt_type,
is_active=True
)
return global_prompt.prompt_value
except Exception:
# Fallback for image_prompt_template
return '{image_type} image for blog post titled "{post_title}": {image_prompt}'
# Use default
return cls.DEFAULT_PROMPTS.get(prompt_type, '')
@classmethod
def get_negative_prompt(cls, account: Optional[Any] = None) -> str:
@@ -268,17 +421,8 @@ class PromptRegistry:
except Exception:
pass
# Try GlobalAIPrompt
try:
from igny8_core.modules.system.global_settings_models import GlobalAIPrompt
global_prompt = GlobalAIPrompt.objects.get(
prompt_type=prompt_type,
is_active=True
)
return global_prompt.prompt_value
except Exception:
# Fallback for negative_prompt
return 'text, watermark, logo, overlay, title, caption, writing on walls, writing on objects, UI, infographic elements, post title'
# Use default
return cls.DEFAULT_PROMPTS.get(prompt_type, '')
# Convenience function for backward compatibility
@@ -286,61 +430,3 @@ def get_prompt(function_name: str, account=None, task=None, context=None) -> str
"""Get prompt using registry"""
return PromptRegistry.get_prompt(function_name, account=account, task=task, context=context)
def get_prompt_with_prefix(function_name: str, account=None, task=None, context=None) -> Tuple[str, str]:
"""
Get prompt with its tracking prefix.
Args:
function_name: AI function name
account: Account object (optional)
task: Task object with optional prompt_override (optional)
context: Additional context for prompt rendering (optional)
Returns:
Tuple of (prompt_string, prefix_string)
- prompt_string: The rendered prompt
- prefix_string: The tracking prefix (e.g., '##GP01-Clustering' or '##CP01-Clustering')
"""
prompt, is_custom, prompt_type = PromptRegistry.get_prompt_with_metadata(
function_name, account=account, task=task, context=context
)
prefix = PromptRegistry.get_prompt_prefix(prompt_type, is_custom)
return prompt, prefix
def get_prompt_prefix_for_function(function_name: str, account=None, task=None) -> str:
"""
Get just the prefix for a function without fetching the full prompt.
Useful when the prompt was already fetched elsewhere.
Args:
function_name: AI function name
account: Account object (optional)
task: Task object with optional prompt_override (optional)
Returns:
The tracking prefix (e.g., '##GP01-Clustering' or '##CP01-Clustering')
"""
prompt_type = PromptRegistry.FUNCTION_TO_PROMPT_TYPE.get(function_name, function_name)
# Check for task-level override (always custom)
if task and hasattr(task, 'prompt_override') and task.prompt_override:
return PromptRegistry.get_prompt_prefix(prompt_type, is_custom=True)
# Check for account-specific prompt
if account:
try:
from igny8_core.modules.system.models import AIPrompt
db_prompt = AIPrompt.objects.get(
account=account,
prompt_type=prompt_type,
is_active=True
)
return PromptRegistry.get_prompt_prefix(prompt_type, is_custom=db_prompt.is_customized)
except Exception:
pass
# Fallback to global (not custom)
return PromptRegistry.get_prompt_prefix(prompt_type, is_custom=False)

View File

@@ -94,15 +94,9 @@ def _load_generate_image_prompts():
from igny8_core.ai.functions.generate_image_prompts import GenerateImagePromptsFunction
return GenerateImagePromptsFunction
def _load_optimize_content():
"""Lazy loader for optimize_content function"""
from igny8_core.ai.functions.optimize_content import OptimizeContentFunction
return OptimizeContentFunction
register_lazy_function('auto_cluster', _load_auto_cluster)
register_lazy_function('generate_ideas', _load_generate_ideas)
register_lazy_function('generate_content', _load_generate_content)
register_lazy_function('generate_images', _load_generate_images)
register_lazy_function('generate_image_prompts', _load_generate_image_prompts)
register_lazy_function('optimize_content', _load_optimize_content)

View File

@@ -1,7 +1,6 @@
"""
AI Settings - Centralized model configurations and limits
Uses AISettings (system defaults) with optional per-account overrides via AccountSettings.
API keys are stored in IntegrationProvider.
Uses IntegrationSettings only - no hardcoded defaults or fallbacks.
"""
from typing import Dict, Any
import logging
@@ -20,22 +19,18 @@ FUNCTION_ALIASES = {
def get_model_config(function_name: str, account) -> Dict[str, Any]:
"""
Get model configuration for AI function.
Architecture:
- API keys: From IntegrationProvider (centralized)
- Model: From AIModelConfig (is_default=True)
- Params: From AISettings with AccountSettings overrides
Get model configuration from IntegrationSettings only.
No fallbacks - account must have IntegrationSettings configured.
Args:
function_name: Name of the AI function
account: Account instance (required)
Returns:
dict: Model configuration with 'model', 'max_tokens', 'temperature', 'api_key'
dict: Model configuration with 'model', 'max_tokens', 'temperature'
Raises:
ValueError: If account not provided or settings not configured
ValueError: If account not provided or IntegrationSettings not configured
"""
if not account:
raise ValueError("Account is required for model configuration")
@@ -43,60 +38,46 @@ def get_model_config(function_name: str, account) -> Dict[str, Any]:
# Resolve function alias
actual_name = FUNCTION_ALIASES.get(function_name, function_name)
# Get IntegrationSettings for OpenAI
try:
from igny8_core.modules.system.ai_settings import AISettings
from igny8_core.ai.model_registry import ModelRegistry
# Get API key from IntegrationProvider
api_key = ModelRegistry.get_api_key('openai')
if not api_key:
raise ValueError(
"Platform OpenAI API key not configured. "
"Please configure IntegrationProvider in Django admin."
)
# Get default text model from AIModelConfig
default_model = ModelRegistry.get_default_model('text')
if not default_model:
default_model = 'gpt-4o-mini' # Ultimate fallback
model = default_model
# Get settings with account overrides
temperature = AISettings.get_effective_temperature(account)
max_tokens = AISettings.get_effective_max_tokens(account)
# Get max_tokens from AIModelConfig if available
try:
from igny8_core.business.billing.models import AIModelConfig
model_config = AIModelConfig.objects.filter(
model_name=model,
is_active=True
).first()
if model_config and model_config.max_output_tokens:
max_tokens = model_config.max_output_tokens
except Exception as e:
logger.warning(f"Could not load max_tokens from AIModelConfig for {model}: {e}")
except Exception as e:
logger.error(f"Could not load OpenAI settings for account {account.id}: {e}")
from igny8_core.modules.system.models import IntegrationSettings
integration_settings = IntegrationSettings.objects.get(
integration_type='openai',
account=account,
is_active=True
)
except IntegrationSettings.DoesNotExist:
raise ValueError(
f"Could not load OpenAI configuration for account {account.id}. "
f"Please configure IntegrationProvider and AISettings."
f"OpenAI IntegrationSettings not configured for account {account.id}. "
f"Please configure OpenAI settings in the integration page."
)
# Validate model is in our supported list using ModelRegistry (database-driven)
config = integration_settings.config or {}
# Get model from config
model = config.get('model')
if not model:
raise ValueError(
f"Model not configured in IntegrationSettings for account {account.id}. "
f"Please set 'model' in OpenAI integration settings."
)
# Validate model is in our supported list (optional validation)
try:
if not ModelRegistry.validate_model(model):
supported_models = [m.model_name for m in ModelRegistry.list_models(model_type='text')]
from igny8_core.utils.ai_processor import MODEL_RATES
if model not in MODEL_RATES:
logger.warning(
f"Model '{model}' for account {account.id} is not in supported list. "
f"Supported models: {supported_models}"
f"Supported models: {list(MODEL_RATES.keys())}"
)
except Exception:
except ImportError:
# MODEL_RATES not available - skip validation
pass
# Get max_tokens and temperature from config (with reasonable defaults for API)
max_tokens = config.get('max_tokens', 4000) # Reasonable default for API limits
temperature = config.get('temperature', 0.7) # Reasonable default
# Build response format based on model (JSON mode for supported models)
response_format = None
try:
@@ -104,6 +85,7 @@ def get_model_config(function_name: str, account) -> Dict[str, Any]:
if model in JSON_MODE_MODELS:
response_format = {"type": "json_object"}
except ImportError:
# JSON_MODE_MODELS not available - skip
pass
return {

View File

@@ -157,7 +157,6 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
from igny8_core.modules.system.models import IntegrationSettings
from igny8_core.ai.ai_core import AICore
from igny8_core.ai.prompts import PromptRegistry
from igny8_core.business.billing.services.credit_service import CreditService
logger.info("=" * 80)
logger.info(f"process_image_generation_queue STARTED")
@@ -182,97 +181,82 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
failed = 0
results = []
# Get image generation settings from AISettings (with account overrides)
# Get image generation settings from IntegrationSettings
logger.info("[process_image_generation_queue] Step 1: Loading image generation settings")
from igny8_core.modules.system.ai_settings import AISettings
from igny8_core.ai.model_registry import ModelRegistry
try:
image_settings = IntegrationSettings.objects.get(
account=account,
integration_type='image_generation',
is_active=True
)
config = image_settings.config or {}
logger.info(f"[process_image_generation_queue] Image generation settings found. Config keys: {list(config.keys())}")
logger.info(f"[process_image_generation_queue] Full config: {config}")
# Get provider and model from config (respect user settings)
provider = config.get('provider', 'openai')
# Get model - try 'model' first, then 'imageModel' as fallback
model = config.get('model') or config.get('imageModel') or 'dall-e-3'
logger.info(f"[process_image_generation_queue] Using PROVIDER: {provider}, MODEL: {model} from settings")
image_type = config.get('image_type', 'realistic')
image_format = config.get('image_format', 'webp')
desktop_enabled = config.get('desktop_enabled', True)
mobile_enabled = config.get('mobile_enabled', True)
# Get image sizes from config, with fallback defaults
featured_image_size = config.get('featured_image_size') or ('1280x832' if provider == 'runware' else '1024x1024')
desktop_image_size = config.get('desktop_image_size') or '1024x1024'
in_article_image_size = config.get('in_article_image_size') or '512x512' # Default to 512x512
logger.info(f"[process_image_generation_queue] Settings loaded:")
logger.info(f" - Provider: {provider}")
logger.info(f" - Model: {model}")
logger.info(f" - Image type: {image_type}")
logger.info(f" - Image format: {image_format}")
logger.info(f" - Desktop enabled: {desktop_enabled}")
logger.info(f" - Mobile enabled: {mobile_enabled}")
except IntegrationSettings.DoesNotExist:
logger.error("[process_image_generation_queue] ERROR: Image generation settings not found")
logger.error(f"[process_image_generation_queue] Account: {account.id if account else 'None'}, integration_type: 'image_generation'")
return {'success': False, 'error': 'Image generation settings not found'}
except Exception as e:
logger.error(f"[process_image_generation_queue] ERROR loading image generation settings: {e}", exc_info=True)
return {'success': False, 'error': f'Error loading image generation settings: {str(e)}'}
# Get effective settings
image_type = AISettings.get_effective_image_style(account)
image_format = 'webp' # Default format
# Get default image model from database
default_model = ModelRegistry.get_default_model('image')
if default_model:
model_config = ModelRegistry.get_model(default_model)
provider = model_config.provider if model_config else 'openai'
model = default_model
else:
provider = 'openai'
model = 'dall-e-3'
logger.info(f"[process_image_generation_queue] Using PROVIDER: {provider}, MODEL: {model} from settings")
# Style to prompt enhancement mapping
# These style descriptors are added to the image prompt for better results
STYLE_PROMPT_MAP = {
# Runware styles
'photorealistic': 'ultra realistic photography, natural lighting, real world look, photorealistic',
'illustration': 'digital illustration, clean lines, artistic style, modern illustration',
'3d_render': 'computer generated 3D render, modern polished 3D style, depth and dramatic lighting',
'minimal_flat': 'minimal flat design, simple shapes, flat colors, modern graphic design aesthetic',
'artistic': 'artistic painterly style, expressive brushstrokes, hand painted aesthetic',
'cartoon': 'cartoon stylized illustration, playful exaggerated forms, animated character style',
# DALL-E styles (mapped from OpenAI API style parameter)
'natural': 'natural realistic style',
'vivid': 'vivid dramatic hyper-realistic style',
# Legacy fallbacks
'realistic': 'ultra realistic photography, natural lighting, photorealistic',
}
# Get the style description for prompt enhancement
style_description = STYLE_PROMPT_MAP.get(image_type, STYLE_PROMPT_MAP.get('photorealistic'))
logger.info(f"[process_image_generation_queue] Style: {image_type} -> prompt enhancement: {style_description[:50]}...")
# Model-specific landscape sizes (square is always 1024x1024)
# For Runware models - based on Runware documentation for optimal results per model
# For OpenAI DALL-E 3 - uses 1792x1024 for landscape
MODEL_LANDSCAPE_SIZES = {
'runware:97@1': '1280x768', # Hi Dream Full landscape
'bria:10@1': '1344x768', # Bria 3.2 landscape (16:9)
'google:4@2': '1376x768', # Nano Banana landscape (16:9)
'dall-e-3': '1792x1024', # DALL-E 3 landscape
'dall-e-2': '1024x1024', # DALL-E 2 only supports square
}
DEFAULT_SQUARE_SIZE = '1024x1024'
# Get model-specific landscape size for featured images
model_landscape_size = MODEL_LANDSCAPE_SIZES.get(model, '1792x1024' if provider == 'openai' else '1280x768')
# Featured image always uses model-specific landscape size
featured_image_size = model_landscape_size
# In-article images: alternating square/landscape based on position (handled in image loop)
in_article_square_size = DEFAULT_SQUARE_SIZE
in_article_landscape_size = model_landscape_size
logger.info(f"[process_image_generation_queue] Settings loaded:")
logger.info(f" - Provider: {provider}")
logger.info(f" - Model: {model}")
logger.info(f" - Image type: {image_type}")
logger.info(f" - Image format: {image_format}")
logger.info(f" - Featured image size: {featured_image_size}")
logger.info(f" - In-article square: {in_article_square_size}, landscape: {in_article_landscape_size}")
# Get provider API key from IntegrationProvider (centralized)
logger.info(f"[process_image_generation_queue] Step 2: Loading {provider.upper()} API key from IntegrationProvider")
# Get API key from IntegrationProvider (centralized)
api_key = ModelRegistry.get_api_key(provider)
if not api_key:
logger.error(f"[process_image_generation_queue] {provider.upper()} API key not configured in IntegrationProvider")
return {'success': False, 'error': f'{provider.upper()} API key not configured'}
# Log API key presence (but not the actual key for security)
api_key_preview = f"{api_key[:10]}...{api_key[-4:]}" if len(api_key) > 14 else "***"
logger.info(f"[process_image_generation_queue] {provider.upper()} API key retrieved successfully (length: {len(api_key)}, preview: {api_key_preview})")
# Get provider API key (using same approach as test image generation)
# Note: API key is stored as 'apiKey' (camelCase) in IntegrationSettings.config
logger.info(f"[process_image_generation_queue] Step 2: Loading {provider.upper()} API key")
try:
provider_settings = IntegrationSettings.objects.get(
account=account,
integration_type=provider, # Use the provider from settings
is_active=True
)
logger.info(f"[process_image_generation_queue] {provider.upper()} integration settings found")
logger.info(f"[process_image_generation_queue] {provider.upper()} config keys: {list(provider_settings.config.keys()) if provider_settings.config else 'None'}")
api_key = provider_settings.config.get('apiKey') if provider_settings.config else None
if not api_key:
logger.error(f"[process_image_generation_queue] {provider.upper()} API key not found in config")
logger.error(f"[process_image_generation_queue] {provider.upper()} config: {provider_settings.config}")
return {'success': False, 'error': f'{provider.upper()} API key not configured'}
# Log API key presence (but not the actual key for security)
api_key_preview = f"{api_key[:10]}...{api_key[-4:]}" if len(api_key) > 14 else "***"
logger.info(f"[process_image_generation_queue] {provider.upper()} API key retrieved successfully (length: {len(api_key)}, preview: {api_key_preview})")
except IntegrationSettings.DoesNotExist:
logger.error(f"[process_image_generation_queue] ERROR: {provider.upper()} integration settings not found")
logger.error(f"[process_image_generation_queue] Account: {account.id if account else 'None'}, integration_type: '{provider}'")
return {'success': False, 'error': f'{provider.upper()} integration not found or not active'}
except Exception as e:
logger.error(f"[process_image_generation_queue] ERROR getting {provider.upper()} API key: {e}", exc_info=True)
return {'success': False, 'error': f'Error retrieving {provider.upper()} API key: {str(e)}'}
# Get image prompt template (has placeholders: {image_type}, {post_title}, {image_prompt})
try:
image_prompt_template = PromptRegistry.get_image_prompt_template(account)
except Exception as e:
logger.warning(f"Failed to get image prompt template: {e}, using fallback")
image_prompt_template = '{image_type} image for blog post titled "{post_title}": {image_prompt}'
image_prompt_template = 'Create a high-quality {image_type} image for a blog post titled "{post_title}". Image prompt: {image_prompt}'
# Get negative prompt for Runware (only needed for Runware provider)
negative_prompt = None
@@ -400,7 +384,7 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
# Calculate actual template length with placeholders filled
# Format template with dummy values to measure actual length
template_with_dummies = image_prompt_template.format(
image_type=style_description, # Use actual style description length
image_type=image_type,
post_title='X' * len(post_title), # Use same length as actual post_title
image_prompt='' # Empty to measure template overhead
)
@@ -427,7 +411,7 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
image_prompt = image_prompt[:max_image_prompt_length - 3] + "..."
formatted_prompt = image_prompt_template.format(
image_type=style_description, # Use full style description instead of raw value
image_type=image_type,
post_title=post_title,
image_prompt=image_prompt
)
@@ -492,40 +476,15 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
}
)
# Use appropriate size based on image type and position
# Featured: Always landscape (model-specific)
# In-article: Alternating square/landscape based on position
# Position 0: Square (1024x1024)
# Position 1: Landscape (model-specific)
# Position 2: Square (1024x1024)
# Position 3: Landscape (model-specific)
# Use appropriate size based on image type
if image.image_type == 'featured':
image_size = featured_image_size # Model-specific landscape
elif image.image_type == 'in_article':
# Alternate based on position: even=square, odd=landscape
position = image.position or 0
if position % 2 == 0: # Position 0, 2: Square
image_size = in_article_square_size
else: # Position 1, 3: Landscape
image_size = in_article_landscape_size
logger.info(f"[process_image_generation_queue] In-article image position {position}: using {'square' if position % 2 == 0 else 'landscape'} size {image_size}")
else: # desktop or other (legacy)
image_size = in_article_square_size # Default to square
# For DALL-E, convert image_type to style parameter
# image_type is from user settings (e.g., 'vivid', 'natural', 'realistic')
# DALL-E accepts 'vivid' or 'natural' - map accordingly
dalle_style = None
if provider == 'openai':
# Map image_type to DALL-E style
# 'natural' = more realistic photos (default)
# 'vivid' = hyper-real, dramatic images
if image_type in ['vivid']:
dalle_style = 'vivid'
else:
# Default to 'natural' for realistic photos
dalle_style = 'natural'
logger.info(f"[process_image_generation_queue] DALL-E style: {dalle_style} (from image_type: {image_type})")
image_size = featured_image_size # Read from config
elif image.image_type == 'desktop':
image_size = desktop_image_size
elif image.image_type == 'mobile':
image_size = '512x512' # Fixed mobile size
else: # in_article or other
image_size = in_article_image_size # Read from config, default 512x512
result = ai_core.generate_image(
prompt=formatted_prompt,
@@ -534,8 +493,7 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
size=image_size,
api_key=api_key,
negative_prompt=negative_prompt,
function_name='generate_images_from_prompts',
style=dalle_style
function_name='generate_images_from_prompts'
)
# Update progress: Image generation complete (50%)
@@ -710,33 +668,6 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
})
failed += 1
else:
# Deduct credits for successful image generation
credits_deducted = 0
cost_usd = result.get('cost_usd', 0)
if account:
try:
credits_deducted = CreditService.deduct_credits_for_image(
account=account,
model_name=model,
num_images=1,
description=f"Image generation: {content.title[:50] if content else 'Image'}" if content else f"Image {image_id}",
metadata={
'image_id': image_id,
'content_id': content_id,
'provider': provider,
'model': model,
'image_type': image.image_type if image else 'unknown',
'size': image_size,
},
cost_usd=cost_usd,
related_object_type='image',
related_object_id=image_id
)
logger.info(f"[process_image_generation_queue] Credits deducted for image {image_id}: account balance now {credits_deducted}")
except Exception as credit_error:
logger.error(f"[process_image_generation_queue] Failed to deduct credits for image {image_id}: {credit_error}")
# Don't fail the image generation if credit deduction fails
# Update progress: Complete (100%)
self.update_state(
state='PROGRESS',
@@ -776,25 +707,6 @@ def process_image_generation_queue(self, image_ids: list, account_id: int = None
})
failed += 1
# Check if all images for the content are generated and update status to 'review'
if content_id and completed > 0:
try:
from igny8_core.business.content.models import Content, Images
content = Content.objects.get(id=content_id)
# Check if all images for this content are now generated
all_images = Images.objects.filter(content=content)
pending_images = all_images.filter(status='pending').count()
# If no pending images and content is still in draft, move to review
if pending_images == 0 and content.status == 'draft':
content.status = 'review'
content.save(update_fields=['status'])
logger.info(f"[process_image_generation_queue] Content #{content_id} status updated to 'review' (all images generated)")
except Exception as e:
logger.error(f"[process_image_generation_queue] Error updating content status: {str(e)}", exc_info=True)
# Final state
logger.info("=" * 80)
logger.info(f"process_image_generation_queue COMPLETED")

View File

@@ -1,86 +0,0 @@
from __future__ import annotations
from igny8_core.ai.functions.generate_site_structure import GenerateSiteStructureFunction
from igny8_core.business.site_building.models import PageBlueprint
from igny8_core.business.site_building.tests.base import SiteBuilderTestBase
class GenerateSiteStructureFunctionTests(SiteBuilderTestBase):
"""Covers parsing + persistence logic for the Site Builder AI function."""
def setUp(self):
super().setUp()
self.function = GenerateSiteStructureFunction()
def test_parse_response_extracts_json_object(self):
noisy_response = """
Thoughts about the request…
{
"site": {"name": "Acme Robotics"},
"pages": [{"slug": "home", "title": "Home"}]
}
Extra commentary that should be ignored.
"""
parsed = self.function.parse_response(noisy_response)
self.assertEqual(parsed['site']['name'], 'Acme Robotics')
self.assertEqual(parsed['pages'][0]['slug'], 'home')
def test_save_output_updates_structure_and_syncs_pages(self):
# Existing page to prove update/delete flows.
legacy_page = PageBlueprint.objects.create(
site_blueprint=self.blueprint,
slug='legacy',
title='Legacy Page',
type='custom',
blocks_json=[],
order=5,
)
parsed = {
'site': {'name': 'Future Robotics'},
'pages': [
{
'slug': 'home',
'title': 'Homepage',
'type': 'home',
'status': 'ready',
'blocks': [{'type': 'hero', 'heading': 'Build faster'}],
},
{
'slug': 'about',
'title': 'About Us',
'type': 'about',
'blocks': [],
},
],
}
result = self.function.save_output(parsed, {'blueprint': self.blueprint})
self.blueprint.refresh_from_db()
self.assertEqual(self.blueprint.status, 'ready')
self.assertEqual(self.blueprint.structure_json['site']['name'], 'Future Robotics')
self.assertEqual(result['pages_created'], 1)
self.assertEqual(result['pages_updated'], 1)
self.assertEqual(result['pages_deleted'], 1)
slugs = set(self.blueprint.pages.values_list('slug', flat=True))
self.assertIn('home', slugs)
self.assertIn('about', slugs)
self.assertNotIn(legacy_page.slug, slugs)
def test_build_prompt_includes_existing_pages(self):
# Convert structure to JSON to ensure template rendering stays stable.
data = self.function.prepare(
payload={'ids': [self.blueprint.id]},
account=self.account,
)
prompt = self.function.build_prompt(data, account=self.account)
self.assertIn(self.blueprint.name, prompt)
self.assertIn('Home', prompt)
# The prompt should mention hosting type and objectives in JSON context.
self.assertIn(self.blueprint.hosting_type, prompt)
for objective in self.blueprint.config_json.get('objectives', []):
self.assertIn(objective, prompt)

View File

@@ -0,0 +1,116 @@
"""
Test script for AI functions
Run this to verify all AI functions work with console logging
"""
import os
import sys
import django
# Setup Django
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../../../'))
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'igny8.settings')
django.setup()
from igny8_core.ai.functions.auto_cluster import AutoClusterFunction
from igny8_core.ai.functions.generate_images import generate_images_core
from igny8_core.ai.ai_core import AICore
def test_ai_core():
"""Test AICore.run_ai_request() directly"""
print("\n" + "="*80)
print("TEST 1: AICore.run_ai_request() - Direct API Call")
print("="*80)
ai_core = AICore()
result = ai_core.run_ai_request(
prompt="Say 'Hello, World!' in JSON format: {\"message\": \"your message\"}",
max_tokens=100,
function_name='test_ai_core'
)
if result.get('error'):
print(f"❌ Error: {result['error']}")
else:
print(f"✅ Success! Content: {result.get('content', '')[:100]}")
print(f" Tokens: {result.get('total_tokens')}, Cost: ${result.get('cost', 0):.6f}")
def test_auto_cluster():
"""Test auto cluster function"""
print("\n" + "="*80)
print("TEST 2: Auto Cluster Function")
print("="*80)
print("Note: This requires actual keyword IDs in the database")
print("Skipping - requires database setup")
# Uncomment to test with real data:
# fn = AutoClusterFunction()
# result = fn.validate({'ids': [1, 2, 3]})
# print(f"Validation result: {result}")
def test_generate_content():
"""Test generate content function"""
print("\n" + "="*80)
print("TEST 3: Generate Content Function")
print("="*80)
print("Note: This requires actual task IDs in the database")
print("Skipping - requires database setup")
def test_generate_images():
"""Test generate images function"""
print("\n" + "="*80)
print("TEST 4: Generate Images Function")
print("="*80)
print("Note: This requires actual task IDs in the database")
print("Skipping - requires database setup")
# Uncomment to test with real data:
# result = generate_images_core(task_ids=[1], account_id=1)
# print(f"Result: {result}")
def test_json_extraction():
"""Test JSON extraction"""
print("\n" + "="*80)
print("TEST 5: JSON Extraction")
print("="*80)
ai_core = AICore()
# Test 1: Direct JSON
json_text = '{"clusters": [{"name": "Test", "keywords": ["test"]}]}'
result = ai_core.extract_json(json_text)
print(f"✅ Direct JSON: {result is not None}")
# Test 2: JSON in markdown
json_markdown = '```json\n{"clusters": [{"name": "Test"}]}\n```'
result = ai_core.extract_json(json_markdown)
print(f"✅ JSON in markdown: {result is not None}")
# Test 3: Invalid JSON
invalid_json = "This is not JSON"
result = ai_core.extract_json(invalid_json)
print(f"✅ Invalid JSON handled: {result is None}")
if __name__ == '__main__':
print("\n" + "="*80)
print("AI FUNCTIONS TEST SUITE")
print("="*80)
print("Testing all AI functions with console logging enabled")
print("="*80)
# Run tests
test_ai_core()
test_json_extraction()
test_auto_cluster()
test_generate_content()
test_generate_images()
print("\n" + "="*80)
print("TEST SUITE COMPLETE")
print("="*80)
print("\nAll console logging should be visible above.")
print("Check for [AI][function_name] Step X: messages")

View File

@@ -5,7 +5,6 @@ import time
import logging
from typing import List, Dict, Any, Optional, Callable
from datetime import datetime
from decimal import Decimal
from igny8_core.ai.constants import DEBUG_MODE
logger = logging.getLogger(__name__)
@@ -196,35 +195,24 @@ class CostTracker:
"""Tracks API costs and token usage"""
def __init__(self):
self.total_cost = Decimal('0.0')
self.total_cost = 0.0
self.total_tokens = 0
self.operations = []
def record(self, function_name: str, cost, tokens: int, model: str = None):
"""Record an API call cost
Args:
function_name: Name of the AI function
cost: Cost value (can be float or Decimal)
tokens: Number of tokens used
model: Model name
"""
# Convert cost to Decimal if it's a float to avoid type mixing
if not isinstance(cost, Decimal):
cost = Decimal(str(cost))
def record(self, function_name: str, cost: float, tokens: int, model: str = None):
"""Record an API call cost"""
self.total_cost += cost
self.total_tokens += tokens
self.operations.append({
'function': function_name,
'cost': float(cost), # Store as float for JSON serialization
'cost': cost,
'tokens': tokens,
'model': model
})
def get_total(self):
"""Get total cost (returns float for JSON serialization)"""
return float(self.total_cost)
def get_total(self) -> float:
"""Get total cost"""
return self.total_cost
def get_total_tokens(self) -> int:
"""Get total tokens"""

View File

@@ -135,7 +135,7 @@ def validate_api_key(api_key: Optional[str], integration_type: str = 'openai') -
def validate_model(model: str, model_type: str = 'text') -> Dict[str, Any]:
"""
Validate that model is in supported list using database.
Validate that model is in supported list.
Args:
model: Model name to validate
@@ -144,50 +144,27 @@ def validate_model(model: str, model_type: str = 'text') -> Dict[str, Any]:
Returns:
Dict with 'valid' (bool) and optional 'error' (str)
"""
try:
# Use database-driven validation via AIModelConfig
from igny8_core.business.billing.models import AIModelConfig
exists = AIModelConfig.objects.filter(
model_name=model,
model_type=model_type,
is_active=True
).exists()
if not exists:
# Get available models for better error message
available = list(AIModelConfig.objects.filter(
model_type=model_type,
is_active=True
).values_list('model_name', flat=True))
if available:
return {
'valid': False,
'error': f'Model "{model}" is not active or not found. Available {model_type} models: {", ".join(available)}'
}
else:
return {
'valid': False,
'error': f'No {model_type} models configured in database'
}
return {'valid': True}
except Exception as e:
# Log error but don't fallback to constants - DB is authoritative
import logging
logger = logging.getLogger(__name__)
logger.error(f"Error validating model {model}: {e}")
return {
'valid': False,
'error': f'Error validating model: {e}'
}
from .constants import MODEL_RATES, VALID_OPENAI_IMAGE_MODELS
if model_type == 'text':
if model not in MODEL_RATES:
return {
'valid': False,
'error': f'Model "{model}" is not in supported models list'
}
elif model_type == 'image':
if model not in VALID_OPENAI_IMAGE_MODELS:
return {
'valid': False,
'error': f'Model "{model}" is not valid for OpenAI image generation. Only {", ".join(VALID_OPENAI_IMAGE_MODELS)} are supported.'
}
return {'valid': True}
def validate_image_size(size: str, model: str) -> Dict[str, Any]:
"""
Validate that image size is valid for the selected model using database.
Validate that image size is valid for the selected model.
Args:
size: Image size (e.g., '1024x1024')
@@ -196,40 +173,14 @@ def validate_image_size(size: str, model: str) -> Dict[str, Any]:
Returns:
Dict with 'valid' (bool) and optional 'error' (str)
"""
try:
# Try database first
from igny8_core.business.billing.models import AIModelConfig
model_config = AIModelConfig.objects.filter(
model_name=model,
model_type='image',
is_active=True
).first()
if model_config:
if not model_config.validate_size(size):
valid_sizes = model_config.valid_sizes or []
return {
'valid': False,
'error': f'Image size "{size}" is not valid for model "{model}". Valid sizes are: {", ".join(valid_sizes)}'
}
return {'valid': True}
else:
return {
'valid': False,
'error': f'Image model "{model}" not found in database'
}
except Exception:
# Fallback to constants if database fails
from .constants import VALID_SIZES_BY_MODEL
valid_sizes = VALID_SIZES_BY_MODEL.get(model, [])
if size not in valid_sizes:
return {
'valid': False,
'error': f'Image size "{size}" is not valid for model "{model}". Valid sizes are: {", ".join(valid_sizes)}'
}
return {'valid': True}
from .constants import VALID_SIZES_BY_MODEL
valid_sizes = VALID_SIZES_BY_MODEL.get(model, [])
if size not in valid_sizes:
return {
'valid': False,
'error': f'Image size "{size}" is not valid for model "{model}". Valid sizes are: {", ".join(valid_sizes)}'
}
return {'valid': True}

View File

@@ -1,52 +0,0 @@
"""
AI Validators Package
Shared validation logic for AI functions
"""
from .cluster_validators import validate_minimum_keywords, validate_keyword_selection
# The codebase also contains a module-level file `ai/validators.py` which defines
# common validator helpers (e.g. `validate_ids`). Because there is both a
# package directory `ai/validators/` and a module file `ai/validators.py`, Python
# will resolve `igny8_core.ai.validators` to the package and not the module file.
# To avoid changing many imports across the project, load the module file here
# and re-export the commonly used functions.
import importlib.util
import os
_module_path = os.path.normpath(os.path.join(os.path.dirname(__file__), '..', 'validators.py'))
if os.path.exists(_module_path):
spec = importlib.util.spec_from_file_location('igny8_core.ai._validators_module', _module_path)
_validators_mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(_validators_mod)
# Re-export commonly used functions from the module file
validate_ids = getattr(_validators_mod, 'validate_ids', None)
validate_keywords_exist = getattr(_validators_mod, 'validate_keywords_exist', None)
validate_cluster_limits = getattr(_validators_mod, 'validate_cluster_limits', None)
validate_cluster_exists = getattr(_validators_mod, 'validate_cluster_exists', None)
validate_tasks_exist = getattr(_validators_mod, 'validate_tasks_exist', None)
validate_api_key = getattr(_validators_mod, 'validate_api_key', None)
validate_model = getattr(_validators_mod, 'validate_model', None)
validate_image_size = getattr(_validators_mod, 'validate_image_size', None)
else:
# Module file missing - keep names defined if cluster validators provide them
validate_ids = None
validate_keywords_exist = None
validate_cluster_limits = None
validate_cluster_exists = None
validate_tasks_exist = None
validate_api_key = None
validate_model = None
validate_image_size = None
__all__ = [
'validate_minimum_keywords',
'validate_keyword_selection',
'validate_ids',
'validate_keywords_exist',
'validate_cluster_limits',
'validate_cluster_exists',
'validate_tasks_exist',
'validate_api_key',
'validate_model',
'validate_image_size',
]

View File

@@ -1,105 +0,0 @@
"""
Cluster-specific validators
Shared between auto-cluster function and automation pipeline
"""
import logging
from typing import Dict, List
logger = logging.getLogger(__name__)
def validate_minimum_keywords(
keyword_ids: List[int],
account=None,
min_required: int = 5
) -> Dict:
"""
Validate that sufficient keywords are available for clustering
Args:
keyword_ids: List of keyword IDs to cluster
account: Account object for filtering
min_required: Minimum number of keywords required (default: 5)
Returns:
Dict with 'valid' (bool) and 'error' (str) or 'count' (int)
"""
from igny8_core.modules.planner.models import Keywords
# Build queryset
queryset = Keywords.objects.filter(id__in=keyword_ids, status='new')
if account:
queryset = queryset.filter(account=account)
# Count available keywords
count = queryset.count()
# Validate minimum
if count < min_required:
return {
'valid': False,
'error': f'Insufficient keywords for clustering. Need at least {min_required} keywords, but only {count} available.',
'count': count,
'required': min_required
}
return {
'valid': True,
'count': count,
'required': min_required
}
def validate_keyword_selection(
selected_ids: List[int],
available_count: int,
min_required: int = 5
) -> Dict:
"""
Validate keyword selection (for frontend validation)
Args:
selected_ids: List of selected keyword IDs
available_count: Total count of available keywords
min_required: Minimum required
Returns:
Dict with validation result
"""
selected_count = len(selected_ids)
# Check if any keywords selected
if selected_count == 0:
return {
'valid': False,
'error': 'No keywords selected',
'type': 'NO_SELECTION'
}
# Check if enough selected
if selected_count < min_required:
return {
'valid': False,
'error': f'Please select at least {min_required} keywords. Currently selected: {selected_count}',
'type': 'INSUFFICIENT_SELECTION',
'selected': selected_count,
'required': min_required
}
# Check if enough available (even if not all selected)
if available_count < min_required:
return {
'valid': False,
'error': f'Not enough keywords available. Need at least {min_required} keywords, but only {available_count} exist.',
'type': 'INSUFFICIENT_AVAILABLE',
'available': available_count,
'required': min_required
}
return {
'valid': True,
'selected': selected_count,
'available': available_count,
'required': min_required
}

View File

@@ -1,37 +0,0 @@
"""
Account API URLs
"""
from django.urls import path
from igny8_core.api.account_views import (
AccountSettingsViewSet,
TeamManagementViewSet,
UsageAnalyticsViewSet,
DashboardStatsViewSet
)
urlpatterns = [
# Account Settings
path('settings/', AccountSettingsViewSet.as_view({
'get': 'retrieve',
'patch': 'partial_update'
}), name='account-settings'),
# Team Management
path('team/', TeamManagementViewSet.as_view({
'get': 'list',
'post': 'create'
}), name='team-list'),
path('team/<int:pk>/', TeamManagementViewSet.as_view({
'delete': 'destroy'
}), name='team-detail'),
# Usage Analytics
path('usage/analytics/', UsageAnalyticsViewSet.as_view({
'get': 'overview'
}), name='usage-analytics'),
# Dashboard Stats (real data for home page)
path('dashboard/stats/', DashboardStatsViewSet.as_view({
'get': 'stats'
}), name='dashboard-stats'),
]

View File

@@ -1,468 +0,0 @@
"""
Account Management API Views
Handles account settings, team management, and usage analytics
"""
from rest_framework import viewsets, status
from rest_framework.decorators import action
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from django.contrib.auth import get_user_model
from django.db.models import Q, Count, Sum
from django.utils import timezone
from datetime import timedelta
from decimal import Decimal
from drf_spectacular.utils import extend_schema, extend_schema_view
from igny8_core.auth.models import Account
from igny8_core.business.billing.models import CreditTransaction
User = get_user_model()
@extend_schema_view(
retrieve=extend_schema(tags=['Account']),
partial_update=extend_schema(tags=['Account']),
)
class AccountSettingsViewSet(viewsets.ViewSet):
"""Account settings management"""
permission_classes = [IsAuthenticated]
def retrieve(self, request):
"""Get account settings"""
account = request.user.account
return Response({
'id': account.id,
'name': account.name,
'slug': account.slug,
'billing_address_line1': account.billing_address_line1 or '',
'billing_address_line2': account.billing_address_line2 or '',
'billing_city': account.billing_city or '',
'billing_state': account.billing_state or '',
'billing_postal_code': account.billing_postal_code or '',
'billing_country': account.billing_country or '',
'tax_id': account.tax_id or '',
'billing_email': account.billing_email or '',
'credits': account.credits,
'created_at': account.created_at.isoformat(),
'updated_at': account.updated_at.isoformat(),
})
def partial_update(self, request):
"""Update account settings"""
account = request.user.account
# Update allowed fields
allowed_fields = [
'name', 'billing_address_line1', 'billing_address_line2',
'billing_city', 'billing_state', 'billing_postal_code',
'billing_country', 'tax_id', 'billing_email'
]
for field in allowed_fields:
if field in request.data:
setattr(account, field, request.data[field])
account.save()
return Response({
'message': 'Account settings updated successfully',
'account': {
'id': account.id,
'name': account.name,
'slug': account.slug,
'billing_address_line1': account.billing_address_line1,
'billing_address_line2': account.billing_address_line2,
'billing_city': account.billing_city,
'billing_state': account.billing_state,
'billing_postal_code': account.billing_postal_code,
'billing_country': account.billing_country,
'tax_id': account.tax_id,
'billing_email': account.billing_email,
}
})
@extend_schema_view(
list=extend_schema(tags=['Account']),
create=extend_schema(tags=['Account']),
destroy=extend_schema(tags=['Account']),
)
class TeamManagementViewSet(viewsets.ViewSet):
"""Team members management"""
permission_classes = [IsAuthenticated]
def list(self, request):
"""List team members"""
account = request.user.account
users = User.objects.filter(account=account)
return Response({
'results': [
{
'id': user.id,
'email': user.email,
'first_name': user.first_name,
'last_name': user.last_name,
'is_active': user.is_active,
'is_staff': user.is_staff,
'date_joined': user.date_joined.isoformat(),
'last_login': user.last_login.isoformat() if user.last_login else None,
}
for user in users
],
'count': users.count()
})
def create(self, request):
"""Invite new team member"""
account = request.user.account
email = request.data.get('email')
if not email:
return Response(
{'error': 'Email is required'},
status=status.HTTP_400_BAD_REQUEST
)
# Check if user already exists
if User.objects.filter(email=email).exists():
return Response(
{'error': 'User with this email already exists'},
status=status.HTTP_400_BAD_REQUEST
)
# Check hard limit for users BEFORE creating
from igny8_core.business.billing.services.limit_service import LimitService, HardLimitExceededError
try:
LimitService.check_hard_limit(account, 'users', additional_count=1)
except HardLimitExceededError as e:
return Response(
{'error': str(e)},
status=status.HTTP_400_BAD_REQUEST
)
# Create user (simplified - in production, send invitation email)
user = User.objects.create_user(
email=email,
first_name=request.data.get('first_name', ''),
last_name=request.data.get('last_name', ''),
account=account
)
return Response({
'message': 'Team member invited successfully',
'user': {
'id': user.id,
'email': user.email,
'first_name': user.first_name,
'last_name': user.last_name,
}
}, status=status.HTTP_201_CREATED)
def destroy(self, request, pk=None):
"""Remove team member"""
account = request.user.account
try:
user = User.objects.get(id=pk, account=account)
# Prevent removing yourself
if user.id == request.user.id:
return Response(
{'error': 'Cannot remove yourself'},
status=status.HTTP_400_BAD_REQUEST
)
user.is_active = False
user.save()
return Response({
'message': 'Team member removed successfully'
})
except User.DoesNotExist:
return Response(
{'error': 'User not found'},
status=status.HTTP_404_NOT_FOUND
)
@extend_schema_view(
overview=extend_schema(tags=['Account']),
)
class UsageAnalyticsViewSet(viewsets.ViewSet):
"""Usage analytics and statistics"""
permission_classes = [IsAuthenticated]
@action(detail=False, methods=['get'])
def overview(self, request):
"""Get usage analytics overview"""
account = request.user.account
# Get date range (default: last 30 days)
days = int(request.query_params.get('days', 30))
start_date = timezone.now() - timedelta(days=days)
# Get transactions in period
transactions = CreditTransaction.objects.filter(
account=account,
created_at__gte=start_date
)
# Calculate totals by type
usage_by_type = transactions.filter(
amount__lt=0
).values('transaction_type').annotate(
total=Sum('amount'),
count=Count('id')
)
purchases_by_type = transactions.filter(
amount__gt=0
).values('transaction_type').annotate(
total=Sum('amount'),
count=Count('id')
)
# Daily usage
daily_usage = []
for i in range(days):
date = start_date + timedelta(days=i)
day_txns = transactions.filter(
created_at__date=date.date()
)
usage = day_txns.filter(amount__lt=0).aggregate(Sum('amount'))['amount__sum'] or 0
purchases = day_txns.filter(amount__gt=0).aggregate(Sum('amount'))['amount__sum'] or 0
daily_usage.append({
'date': date.date().isoformat(),
'usage': abs(usage),
'purchases': purchases,
'net': purchases + usage
})
return Response({
'period_days': days,
'start_date': start_date.isoformat(),
'end_date': timezone.now().isoformat(),
'current_balance': account.credits,
'usage_by_type': list(usage_by_type),
'purchases_by_type': list(purchases_by_type),
'daily_usage': daily_usage,
'total_usage': abs(transactions.filter(amount__lt=0).aggregate(Sum('amount'))['amount__sum'] or 0),
'total_purchases': transactions.filter(amount__gt=0).aggregate(Sum('amount'))['amount__sum'] or 0,
})
@extend_schema_view(
stats=extend_schema(tags=['Account']),
)
class DashboardStatsViewSet(viewsets.ViewSet):
"""Dashboard statistics - real data for home page widgets"""
permission_classes = [IsAuthenticated]
@action(detail=False, methods=['get'])
def stats(self, request):
"""
Get dashboard statistics for the home page.
Query params:
- site_id: Filter by site (optional, defaults to all sites)
- days: Number of days for AI operations (default: 7)
Returns:
- ai_operations: Real credit usage by operation type
- recent_activity: Recent notifications
- content_velocity: Content created this week/month
- images_count: Actual total images count
- published_count: Actual published content count
"""
account = request.user.account
site_id = request.query_params.get('site_id')
days = int(request.query_params.get('days', 7))
# Import models here to avoid circular imports
from igny8_core.modules.writer.models import Images, Content
from igny8_core.modules.planner.models import Keywords, Clusters, ContentIdeas
from igny8_core.business.notifications.models import Notification
from igny8_core.business.billing.models import CreditUsageLog
from igny8_core.auth.models import Site
# Build base filter for site
site_filter = {}
if site_id:
try:
site_filter['site_id'] = int(site_id)
except (ValueError, TypeError):
pass
# ========== AI OPERATIONS (from CreditUsageLog) ==========
start_date = timezone.now() - timedelta(days=days)
usage_query = CreditUsageLog.objects.filter(
account=account,
created_at__gte=start_date
)
# Get operations grouped by type
operations_data = usage_query.values('operation_type').annotate(
count=Count('id'),
credits=Sum('credits_used')
).order_by('-credits')
# Calculate totals
total_ops = usage_query.count()
total_credits = usage_query.aggregate(total=Sum('credits_used'))['total'] or 0
# Format operations for frontend
operations = []
for op in operations_data:
op_type = op['operation_type'] or 'other'
operations.append({
'type': op_type,
'count': op['count'] or 0,
'credits': op['credits'] or 0,
})
ai_operations = {
'period': f'{days}d',
'operations': operations,
'totals': {
'count': total_ops,
'credits': total_credits,
'successRate': 98.5, # TODO: calculate from actual success/failure
'avgCreditsPerOp': round(total_credits / total_ops, 1) if total_ops > 0 else 0,
}
}
# ========== RECENT ACTIVITY (from Notifications) ==========
recent_notifications = Notification.objects.filter(
account=account
).order_by('-created_at')[:10]
recent_activity = []
for notif in recent_notifications:
# Map notification type to activity type
activity_type_map = {
'ai_clustering_complete': 'clustering',
'ai_ideas_complete': 'ideas',
'ai_content_complete': 'content',
'ai_images_complete': 'images',
'ai_prompts_complete': 'images',
'content_published': 'published',
'wp_sync_success': 'published',
}
activity_type = activity_type_map.get(notif.notification_type, 'system')
# Map notification type to href
href_map = {
'clustering': '/planner/clusters',
'ideas': '/planner/ideas',
'content': '/writer/content',
'images': '/writer/images',
'published': '/writer/published',
}
recent_activity.append({
'id': str(notif.id),
'type': activity_type,
'title': notif.title,
'description': notif.message[:100] if notif.message else '',
'timestamp': notif.created_at.isoformat(),
'href': href_map.get(activity_type, '/dashboard'),
})
# ========== CONTENT COUNTS ==========
content_base = Content.objects.filter(account=account)
if site_filter:
content_base = content_base.filter(**site_filter)
total_content = content_base.count()
draft_content = content_base.filter(status='draft').count()
review_content = content_base.filter(status='review').count()
published_content = content_base.filter(status='published').count()
# ========== IMAGES COUNT (actual images, not content with images) ==========
images_base = Images.objects.filter(account=account)
if site_filter:
images_base = images_base.filter(**site_filter)
total_images = images_base.count()
generated_images = images_base.filter(status='generated').count()
pending_images = images_base.filter(status='pending').count()
# ========== CONTENT VELOCITY ==========
now = timezone.now()
week_ago = now - timedelta(days=7)
month_ago = now - timedelta(days=30)
# This week's content
week_content = content_base.filter(created_at__gte=week_ago).count()
week_images = images_base.filter(created_at__gte=week_ago).count()
# This month's content
month_content = content_base.filter(created_at__gte=month_ago).count()
month_images = images_base.filter(created_at__gte=month_ago).count()
# Estimate words (avg 1500 per article)
content_velocity = {
'thisWeek': {
'articles': week_content,
'words': week_content * 1500,
'images': week_images,
},
'thisMonth': {
'articles': month_content,
'words': month_content * 1500,
'images': month_images,
},
'total': {
'articles': total_content,
'words': total_content * 1500,
'images': total_images,
},
'trend': 0, # TODO: calculate actual trend
}
# ========== PIPELINE COUNTS ==========
keywords_base = Keywords.objects.filter(account=account)
clusters_base = Clusters.objects.filter(account=account)
ideas_base = ContentIdeas.objects.filter(account=account)
if site_filter:
keywords_base = keywords_base.filter(**site_filter)
clusters_base = clusters_base.filter(**site_filter)
ideas_base = ideas_base.filter(**site_filter)
# Get site count
sites_count = Site.objects.filter(account=account, is_active=True).count()
pipeline = {
'sites': sites_count,
'keywords': keywords_base.count(),
'clusters': clusters_base.count(),
'ideas': ideas_base.count(),
'tasks': ideas_base.filter(status='queued').count() + ideas_base.filter(status='completed').count(),
'drafts': draft_content + review_content,
'published': published_content,
}
return Response({
'ai_operations': ai_operations,
'recent_activity': recent_activity,
'content_velocity': content_velocity,
'pipeline': pipeline,
'counts': {
'content': {
'total': total_content,
'draft': draft_content,
'review': review_content,
'published': published_content,
},
'images': {
'total': total_images,
'generated': generated_images,
'pending': pending_images,
},
}
})

View File

@@ -67,10 +67,16 @@ class JWTAuthentication(BaseAuthentication):
try:
account = Account.objects.get(id=account_id)
except Account.DoesNotExist:
# Account from token doesn't exist - don't fallback, set to None
pass
if not account:
try:
account = getattr(user, 'account', None)
except (AttributeError, Exception):
# If account access fails, set to None
account = None
# Set account on request (only if account_id was in token and account exists)
# Set account on request
request.account = account
return (user, token)
@@ -83,79 +89,3 @@ class JWTAuthentication(BaseAuthentication):
# This allows session authentication to work if JWT fails
return None
class APIKeyAuthentication(BaseAuthentication):
"""
API Key authentication for WordPress integration.
Validates API keys stored in Site.wp_api_key field.
"""
def authenticate(self, request):
"""
Authenticate using WordPress API key.
Returns (user, api_key) tuple if valid.
"""
auth_header = request.META.get('HTTP_AUTHORIZATION', '')
if not auth_header.startswith('Bearer '):
return None # Not an API key request
api_key = auth_header.split(' ')[1] if len(auth_header.split(' ')) > 1 else None
if not api_key or len(api_key) < 20: # API keys should be at least 20 chars
return None
# Don't try to authenticate JWT tokens (they start with 'ey')
if api_key.startswith('ey'):
return None # Let JWTAuthentication handle it
try:
from igny8_core.auth.models import Site, User
from igny8_core.auth.utils import validate_account_and_plan
from rest_framework.exceptions import AuthenticationFailed
# Find site by API key
site = Site.objects.select_related('account', 'account__owner', 'account__plan').filter(
wp_api_key=api_key,
is_active=True
).first()
if not site:
return None # API key not found or site inactive
# Get account and validate it
account = site.account
if not account:
raise AuthenticationFailed('No account associated with this API key.')
# CRITICAL FIX: Validate account and plan status
is_valid, error_message, http_status = validate_account_and_plan(account)
if not is_valid:
raise AuthenticationFailed(error_message)
# Get user (prefer owner but gracefully fall back)
user = account.owner
if not user or not getattr(user, 'is_active', False):
# Fall back to any active developer/owner/admin in the account
user = account.users.filter(
is_active=True,
role__in=['developer', 'owner', 'admin']
).order_by('role').first() or account.users.filter(is_active=True).first()
if not user:
raise AuthenticationFailed('No active user available for this account.')
if not user.is_active:
raise AuthenticationFailed('User account is disabled.')
# Set account on request for tenant isolation
request.account = account
# Set site on request for WordPress integration context
request.site = site
return (user, api_key)
except Exception as e:
# Log the error but return None to allow other auth classes to try
import logging
logger = logging.getLogger(__name__)
logger.debug(f'APIKeyAuthentication error: {str(e)}')
return None

View File

@@ -19,21 +19,34 @@ class AccountModelViewSet(viewsets.ModelViewSet):
# Filter by account if model has account field
if hasattr(queryset.model, 'account'):
user = getattr(self.request, 'user', None)
# ADMIN/DEV/SYSTEM ACCOUNT OVERRIDE: Skip account filtering for:
# - Admins and developers (by role)
# - Users in system accounts (aws-admin, default-account)
if user and hasattr(user, 'is_authenticated') and user.is_authenticated:
try:
account = getattr(self.request, 'account', None)
if not account and hasattr(self.request, 'user') and self.request.user and hasattr(self.request.user, 'is_authenticated') and self.request.user.is_authenticated:
user_account = getattr(self.request.user, 'account', None)
if user_account:
account = user_account
if account:
queryset = queryset.filter(account=account)
# Check if user has admin/developer privileges
is_admin_or_dev = (hasattr(user, 'is_admin_or_developer') and user.is_admin_or_developer()) if user else False
is_system_user = (hasattr(user, 'is_system_account_user') and user.is_system_account_user()) if user else False
if is_admin_or_dev or is_system_user:
# Skip account filtering - allow all accounts
pass
else:
# No account context -> block access
return queryset.none()
except (AttributeError, TypeError):
# Get account from request (set by middleware)
account = getattr(self.request, 'account', None)
if account:
queryset = queryset.filter(account=account)
elif hasattr(self.request, 'user') and self.request.user and hasattr(self.request.user, 'is_authenticated') and self.request.user.is_authenticated:
# Fallback to user's account
try:
user_account = getattr(self.request.user, 'account', None)
if user_account:
queryset = queryset.filter(account=user_account)
except (AttributeError, Exception):
# If account access fails (e.g., column mismatch), skip account filtering
pass
except (AttributeError, TypeError) as e:
# If there's an error accessing user attributes, return empty queryset
return queryset.none()
else:
@@ -48,11 +61,11 @@ class AccountModelViewSet(viewsets.ModelViewSet):
try:
account = getattr(self.request.user, 'account', None)
except (AttributeError, Exception):
# If account access fails (e.g., column mismatch), set to None
account = None
if hasattr(serializer.Meta.model, 'account'):
if not account:
raise PermissionDenied("Account context is required to create this object.")
# If model has account field, set it
if account and hasattr(serializer.Meta.model, 'account'):
serializer.save(account=account)
else:
serializer.save()
@@ -168,26 +181,7 @@ class AccountModelViewSet(viewsets.ModelViewSet):
"""
try:
instance = self.get_object()
# Protect system account
if hasattr(instance, 'slug') and getattr(instance, 'slug', '') == 'aws-admin':
from django.core.exceptions import PermissionDenied
raise PermissionDenied("System account cannot be deleted.")
if hasattr(instance, 'soft_delete'):
user = getattr(request, 'user', None)
retention_days = None
account = getattr(instance, 'account', None)
if account and hasattr(account, 'deletion_retention_days'):
retention_days = account.deletion_retention_days
elif hasattr(instance, 'deletion_retention_days'):
retention_days = getattr(instance, 'deletion_retention_days', None)
instance.soft_delete(
user=user if getattr(user, 'is_authenticated', False) else None,
retention_days=retention_days,
reason='api_delete'
)
else:
self.perform_destroy(instance)
self.perform_destroy(instance)
return success_response(
data=None,
message='Deleted successfully',
@@ -240,16 +234,24 @@ class SiteSectorModelViewSet(AccountModelViewSet):
# Check if user is authenticated and is a proper User instance (not AnonymousUser)
if user and hasattr(user, 'is_authenticated') and user.is_authenticated and hasattr(user, 'get_accessible_sites'):
try:
# Get user's accessible sites
accessible_sites = user.get_accessible_sites()
# If no accessible sites, return empty queryset
if not accessible_sites.exists():
queryset = queryset.none()
# ADMIN/DEV/SYSTEM ACCOUNT OVERRIDE: Developers, admins, and system account users
# can see all data regardless of site/sector
if (hasattr(user, 'is_admin_or_developer') and user.is_admin_or_developer()) or \
(hasattr(user, 'is_system_account_user') and user.is_system_account_user()):
# Skip site/sector filtering for admins, developers, and system account users
# But still respect optional query params if provided
pass
else:
# Filter by accessible sites
queryset = queryset.filter(site__in=accessible_sites)
except (AttributeError, TypeError):
# Get user's accessible sites
accessible_sites = user.get_accessible_sites()
# If no accessible sites, return empty queryset (unless admin/developer/system account)
if not accessible_sites.exists():
queryset = queryset.none()
else:
# Filter by accessible sites
queryset = queryset.filter(site__in=accessible_sites)
except (AttributeError, TypeError) as e:
# If there's an error accessing user attributes, return empty queryset
queryset = queryset.none()
else:
@@ -263,9 +265,9 @@ class SiteSectorModelViewSet(AccountModelViewSet):
if query_params is None:
# Fallback for non-DRF requests
query_params = getattr(self.request, 'GET', {})
site_id = query_params.get('site_id') or query_params.get('site')
site_id = query_params.get('site_id')
else:
site_id = query_params.get('site_id') or query_params.get('site')
site_id = query_params.get('site_id')
except AttributeError:
site_id = None
@@ -274,14 +276,21 @@ class SiteSectorModelViewSet(AccountModelViewSet):
# Convert site_id to int if it's a string
site_id_int = int(site_id) if site_id else None
if site_id_int:
# ADMIN/DEV/SYSTEM ACCOUNT OVERRIDE: Admins, developers, and system account users
# can filter by any site, others must verify access
if user and hasattr(user, 'is_authenticated') and user.is_authenticated and hasattr(user, 'get_accessible_sites'):
try:
accessible_sites = user.get_accessible_sites()
if accessible_sites.filter(id=site_id_int).exists():
if (hasattr(user, 'is_admin_or_developer') and user.is_admin_or_developer()) or \
(hasattr(user, 'is_system_account_user') and user.is_system_account_user()):
# Admin/Developer/System Account User can filter by any site
queryset = queryset.filter(site_id=site_id_int)
else:
queryset = queryset.none() # Site not accessible
except (AttributeError, TypeError):
accessible_sites = user.get_accessible_sites()
if accessible_sites.filter(id=site_id_int).exists():
queryset = queryset.filter(site_id=site_id_int)
else:
queryset = queryset.none() # Site not accessible
except (AttributeError, TypeError) as e:
# If there's an error accessing user attributes, return empty queryset
queryset = queryset.none()
else:
@@ -341,10 +350,14 @@ class SiteSectorModelViewSet(AccountModelViewSet):
if user and hasattr(user, 'is_authenticated') and user.is_authenticated and site:
try:
if hasattr(user, 'get_accessible_sites'):
accessible_sites = user.get_accessible_sites()
if not accessible_sites.filter(id=site.id).exists():
raise PermissionDenied("You do not have access to this site")
# ADMIN/DEV/SYSTEM ACCOUNT OVERRIDE: Admins, developers, and system account users
# can create in any site, others must verify access
if not ((hasattr(user, 'is_admin_or_developer') and user.is_admin_or_developer()) or
(hasattr(user, 'is_system_account_user') and user.is_system_account_user())):
if hasattr(user, 'get_accessible_sites'):
accessible_sites = user.get_accessible_sites()
if not accessible_sites.filter(id=site.id).exists():
raise PermissionDenied("You do not have access to this site")
# Verify sector belongs to site
if sector and hasattr(sector, 'site') and sector.site != site:

View File

@@ -12,23 +12,13 @@ class IsAuthenticatedAndActive(permissions.BasePermission):
Base permission for most endpoints
"""
def has_permission(self, request, view):
import logging
logger = logging.getLogger(__name__)
if not request.user or not request.user.is_authenticated:
logger.warning(f"[IsAuthenticatedAndActive] DENIED: User not authenticated")
return False
# Check if user is active
if hasattr(request.user, 'is_active'):
is_active = request.user.is_active
if is_active:
logger.info(f"[IsAuthenticatedAndActive] ALLOWED: User {request.user.email} is active")
else:
logger.warning(f"[IsAuthenticatedAndActive] DENIED: User {request.user.email} is inactive")
return is_active
return request.user.is_active
logger.info(f"[IsAuthenticatedAndActive] ALLOWED: User {request.user.email} (no is_active check)")
return True
@@ -36,41 +26,45 @@ class HasTenantAccess(permissions.BasePermission):
"""
Permission class that requires user to belong to the tenant/account
Ensures tenant isolation
Superusers, developers, and system account users bypass this check.
CRITICAL: Every authenticated user MUST have an account.
The middleware sets request.account from request.user.account.
If a user doesn't have an account, it's a data integrity issue.
"""
def has_permission(self, request, view):
import logging
logger = logging.getLogger(__name__)
if not request.user or not request.user.is_authenticated:
logger.warning(f"[HasTenantAccess] DENIED: User not authenticated")
return False
# SIMPLIFIED LOGIC: Every authenticated user MUST have an account
# Middleware already set request.account from request.user.account
# Just verify it exists
if not hasattr(request.user, 'account'):
logger.warning(f"[HasTenantAccess] DENIED: User {request.user.email} has no account attribute")
return False
# Get account from request (set by middleware)
account = getattr(request, 'account', None)
try:
# Access the account to trigger any lazy loading
user_account = request.user.account
if not user_account:
logger.warning(f"[HasTenantAccess] DENIED: User {request.user.email} has NULL account")
return False
# Success - user has a valid account
logger.info(f"[HasTenantAccess] ALLOWED: User {request.user.email} has account {user_account.name} (ID: {user_account.id})")
return True
except (AttributeError, Exception) as e:
# User doesn't have account relationship - data integrity issue
logger.warning(f"[HasTenantAccess] DENIED: User {request.user.email} account access failed: {e}")
return False
# If no account in request, try to get from user
if not account and hasattr(request.user, 'account'):
try:
account = request.user.account
except (AttributeError, Exception):
pass
# Admin/Developer/System account users bypass tenant check
if request.user and hasattr(request.user, 'is_authenticated') and request.user.is_authenticated:
try:
is_admin_or_dev = (hasattr(request.user, 'is_admin_or_developer') and
request.user.is_admin_or_developer()) if request.user else False
is_system_user = (hasattr(request.user, 'is_system_account_user') and
request.user.is_system_account_user()) if request.user else False
if is_admin_or_dev or is_system_user:
return True
except (AttributeError, TypeError):
pass
# Regular users must have account access
if account:
# Check if user belongs to this account
if hasattr(request.user, 'account'):
try:
user_account = request.user.account
return user_account == account or user_account.id == account.id
except (AttributeError, Exception):
pass
return False
class IsViewerOrAbove(permissions.BasePermission):
@@ -79,26 +73,28 @@ class IsViewerOrAbove(permissions.BasePermission):
For read-only operations
"""
def has_permission(self, request, view):
import logging
logger = logging.getLogger(__name__)
if not request.user or not request.user.is_authenticated:
logger.warning(f"[IsViewerOrAbove] DENIED: User not authenticated")
return False
# Admin/Developer/System account users always have access
try:
is_admin_or_dev = (hasattr(request.user, 'is_admin_or_developer') and
request.user.is_admin_or_developer()) if request.user else False
is_system_user = (hasattr(request.user, 'is_system_account_user') and
request.user.is_system_account_user()) if request.user else False
if is_admin_or_dev or is_system_user:
return True
except (AttributeError, TypeError):
pass
# Check user role
if hasattr(request.user, 'role'):
role = request.user.role
# viewer, editor, admin, owner all have access
allowed = role in ['viewer', 'editor', 'admin', 'owner']
if allowed:
logger.info(f"[IsViewerOrAbove] ALLOWED: User {request.user.email} has role {role}")
else:
logger.warning(f"[IsViewerOrAbove] DENIED: User {request.user.email} has invalid role {role}")
return allowed
return role in ['viewer', 'editor', 'admin', 'owner']
# If no role system, allow authenticated users
logger.info(f"[IsViewerOrAbove] ALLOWED: User {request.user.email} (no role system)")
return True
@@ -111,6 +107,18 @@ class IsEditorOrAbove(permissions.BasePermission):
if not request.user or not request.user.is_authenticated:
return False
# Admin/Developer/System account users always have access
try:
is_admin_or_dev = (hasattr(request.user, 'is_admin_or_developer') and
request.user.is_admin_or_developer()) if request.user else False
is_system_user = (hasattr(request.user, 'is_system_account_user') and
request.user.is_system_account_user()) if request.user else False
if is_admin_or_dev or is_system_user:
return True
except (AttributeError, TypeError):
pass
# Check user role
if hasattr(request.user, 'role'):
role = request.user.role
@@ -124,21 +132,23 @@ class IsEditorOrAbove(permissions.BasePermission):
class IsAdminOrOwner(permissions.BasePermission):
"""
Permission class that requires admin or owner role only
OR user belongs to aws-admin account
For settings, keys, billing operations
"""
def has_permission(self, request, view):
if not request.user or not request.user.is_authenticated:
return False
# Check if user belongs to aws-admin account (case-insensitive)
if hasattr(request.user, 'account') and request.user.account:
account_name = getattr(request.user.account, 'name', None)
account_slug = getattr(request.user.account, 'slug', None)
if account_name and account_name.lower() == 'aws admin':
return True
if account_slug == 'aws-admin':
# Admin/Developer/System account users always have access
try:
is_admin_or_dev = (hasattr(request.user, 'is_admin_or_developer') and
request.user.is_admin_or_developer()) if request.user else False
is_system_user = (hasattr(request.user, 'is_system_account_user') and
request.user.is_system_account_user()) if request.user else False
if is_admin_or_dev or is_system_user:
return True
except (AttributeError, TypeError):
pass
# Check user role
if hasattr(request.user, 'role'):
@@ -148,3 +158,5 @@ class IsAdminOrOwner(permissions.BasePermission):
# If no role system, deny by default for security
return False

View File

@@ -5,8 +5,6 @@ Provides consistent response format across all endpoints
from rest_framework.response import Response
from rest_framework import status
import uuid
from typing import Any
from django.http import HttpRequest
def get_request_id(request):
@@ -76,28 +74,6 @@ def error_response(error=None, errors=None, status_code=status.HTTP_400_BAD_REQU
'success': False,
}
# Backwards compatibility: some callers used positional args in the order
# (error, status_code, request) which maps to (error, errors, status_code=request)
# causing `status_code` to be a Request object and raising TypeError.
# Detect this misuse and normalize arguments:
try:
if request is None and status_code is not None:
# If status_code appears to be a Request object, shift arguments
if isinstance(status_code, HttpRequest) or hasattr(status_code, 'META'):
# original call looked like: error_response(msg, status.HTTP_400_BAD_REQUEST, request)
# which resulted in: errors = status.HTTP_400..., status_code = request
request = status_code
# If `errors` holds an int-like HTTP status, use it as status_code
if isinstance(errors, int):
status_code = errors
errors = None
else:
# fallback to default 400
status_code = status.HTTP_400_BAD_REQUEST
except Exception:
# Defensive: if introspection fails, continue with provided args
pass
if error:
response_data['error'] = error
elif status_code == status.HTTP_400_BAD_REQUEST:

View File

@@ -8,20 +8,7 @@ from drf_spectacular.utils import extend_schema, OpenApiResponse
from rest_framework import status
# Explicit tags we want to keep (from SPECTACULAR_SETTINGS)
EXPLICIT_TAGS = {
'Authentication',
'Planner',
'Writer',
'System',
'Billing',
'Account',
'Automation',
'Linker',
'Optimizer',
'Publisher',
'Integration',
'Admin Billing',
}
EXPLICIT_TAGS = {'Authentication', 'Planner', 'Writer', 'System', 'Billing'}
def postprocess_schema_filter_tags(result, generator, request, public):
@@ -34,11 +21,6 @@ def postprocess_schema_filter_tags(result, generator, request, public):
for path, methods in result['paths'].items():
for method, operation in methods.items():
if isinstance(operation, dict) and 'tags' in operation:
# Explicitly exclude system webhook from tagging/docs grouping
if '/system/webhook' in path:
operation['tags'] = []
continue
# Keep only explicit tags from the operation
filtered_tags = [
tag for tag in operation['tags']
@@ -59,20 +41,6 @@ def postprocess_schema_filter_tags(result, generator, request, public):
filtered_tags = ['System']
elif '/billing/' in path or '/api/v1/billing/' in path:
filtered_tags = ['Billing']
elif '/account/' in path or '/api/v1/account/' in path:
filtered_tags = ['Account']
elif '/automation/' in path or '/api/v1/automation/' in path:
filtered_tags = ['Automation']
elif '/linker/' in path or '/api/v1/linker/' in path:
filtered_tags = ['Linker']
elif '/optimizer/' in path or '/api/v1/optimizer/' in path:
filtered_tags = ['Optimizer']
elif '/publisher/' in path or '/api/v1/publisher/' in path:
filtered_tags = ['Publisher']
elif '/integration/' in path or '/api/v1/integration/' in path:
filtered_tags = ['Integration']
elif '/admin/' in path or '/api/v1/admin/' in path:
filtered_tags = ['Admin Billing']
operation['tags'] = filtered_tags

View File

@@ -0,0 +1,25 @@
#!/usr/bin/env python
"""
Test runner script for API tests
Run all tests: python manage.py test igny8_core.api.tests
Run specific test: python manage.py test igny8_core.api.tests.test_response
"""
import os
import sys
import django
# Setup Django
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'igny8_core.settings')
django.setup()
from django.core.management import execute_from_command_line
if __name__ == '__main__':
# Run all API tests
if len(sys.argv) > 1:
# Custom test specified
execute_from_command_line(['manage.py', 'test'] + sys.argv[1:])
else:
# Run all API tests
execute_from_command_line(['manage.py', 'test', 'igny8_core.api.tests', '--verbosity=2'])

View File

@@ -140,7 +140,7 @@ class GetModelConfigTestCase(TestCase):
def test_get_model_config_json_mode_models(self):
"""Test get_model_config() sets response_format for JSON mode models"""
json_models = ['gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo-preview', 'gpt-5.1', 'gpt-5.2']
json_models = ['gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo-preview']
for model in json_models:
IntegrationSettings.objects.filter(account=self.account).delete()

View File

@@ -79,7 +79,7 @@ class IntegrationTestBase(TestCase):
sector=self.industry_sector,
volume=1000,
difficulty=50,
country="US"
intent="informational"
)
# Authenticate client

View File

@@ -21,24 +21,33 @@ class DebugScopedRateThrottle(ScopedRateThrottle):
def allow_request(self, request, view):
"""
Check if request should be throttled.
DISABLED - Always allow all requests.
"""
return True
Check if request should be throttled
# OLD CODE BELOW (DISABLED)
Bypasses throttling if:
- DEBUG mode is True
- IGNY8_DEBUG_THROTTLE environment variable is True
- User belongs to aws-admin or other system accounts
- User is admin/developer role
"""
# Check if throttling should be bypassed
debug_bypass = getattr(settings, 'DEBUG', False)
env_bypass = getattr(settings, 'IGNY8_DEBUG_THROTTLE', False)
# Bypass for public blueprint list requests (Sites Renderer fallback)
public_blueprint_bypass = False
if hasattr(view, 'action') and view.action == 'list':
if hasattr(request, 'query_params') and request.query_params.get('site'):
if not request.user or not hasattr(request.user, 'is_authenticated') or not request.user.is_authenticated:
public_blueprint_bypass = True
# Bypass for system account users (aws-admin, default-account, etc.)
system_account_bypass = False
if hasattr(request, 'user') and request.user and hasattr(request.user, 'is_authenticated') and request.user.is_authenticated:
try:
# Check if user is in system account (aws-admin, default-account, default)
if hasattr(request.user, 'is_system_account_user') and request.user.is_system_account_user():
system_account_bypass = True
# Also bypass for admin/developer roles
elif hasattr(request.user, 'is_admin_or_developer') and request.user.is_admin_or_developer():
system_account_bypass = True
except (AttributeError, Exception):
# If checking fails, continue with normal throttling
pass
if debug_bypass or env_bypass or public_blueprint_bypass:
if debug_bypass or env_bypass or system_account_bypass:
# In debug mode or for system accounts, still set throttle headers but don't actually throttle
# This allows testing throttle headers without blocking requests
if hasattr(self, 'get_rate'):
@@ -59,27 +68,9 @@ class DebugScopedRateThrottle(ScopedRateThrottle):
}
return True
# Normal throttling with per-account keying
# Normal throttling behavior
return super().allow_request(request, view)
def get_cache_key(self, request, view):
"""
Override to add account-based throttle keying.
Keys by (scope, account.id) instead of just user.
"""
if not self.scope:
return None
# Get account from request
account = getattr(request, 'account', None)
if not account and hasattr(request, 'user') and request.user and request.user.is_authenticated:
account = getattr(request.user, 'account', None)
account_id = account.id if account else 'anon'
# Build throttle key: scope:account_id
return f'{self.scope}:{account_id}'
def get_rate(self):
"""
Get rate for the current scope

View File

@@ -1,35 +0,0 @@
"""
URL patterns for account management API
"""
from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .account_views import (
AccountSettingsViewSet,
TeamManagementViewSet,
UsageAnalyticsViewSet,
DashboardStatsViewSet
)
from igny8_core.modules.system.settings_views import ContentGenerationSettingsViewSet
router = DefaultRouter()
urlpatterns = [
# Account settings (non-router endpoints for simplified access)
path('settings/', AccountSettingsViewSet.as_view({'get': 'retrieve', 'patch': 'partial_update'}), name='account-settings'),
# AI Settings - Content Generation Settings per the plan
# GET/POST /api/v1/account/settings/ai/
path('settings/ai/', ContentGenerationSettingsViewSet.as_view({'get': 'list', 'post': 'create', 'put': 'create'}), name='ai-settings'),
# Team management
path('team/', TeamManagementViewSet.as_view({'get': 'list', 'post': 'create'}), name='team-list'),
path('team/<int:pk>/', TeamManagementViewSet.as_view({'delete': 'destroy'}), name='team-detail'),
# Usage analytics
path('usage/analytics/', UsageAnalyticsViewSet.as_view({'get': 'overview'}), name='usage-analytics'),
# Dashboard stats (real data for home page)
path('dashboard/stats/', DashboardStatsViewSet.as_view({'get': 'stats'}), name='dashboard-stats'),
path('', include(router.urls)),
]

View File

@@ -1,400 +0,0 @@
"""
WordPress Publishing API Views
Handles manual content publishing to WordPress sites
"""
from rest_framework import status
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from django.shortcuts import get_object_or_404
from django.utils import timezone
from typing import Dict, Any, List
from igny8_core.models import ContentPost, SiteIntegration
from igny8_core.tasks.wordpress_publishing import (
publish_content_to_wordpress,
bulk_publish_content_to_wordpress
)
@api_view(['POST'])
@permission_classes([IsAuthenticated])
def publish_single_content(request, content_id: int) -> Response:
"""
Publish a single content item to WordPress
POST /api/v1/content/{content_id}/publish-to-wordpress/
Body:
{
"site_integration_id": 123, // Optional - will use default if not provided
"force": false // Optional - force republish even if already published
}
"""
try:
content = get_object_or_404(ContentPost, id=content_id)
# Check permissions
if not request.user.has_perm('content.change_contentpost'):
return Response(
{
'success': False,
'message': 'Permission denied',
'error': 'insufficient_permissions'
},
status=status.HTTP_403_FORBIDDEN
)
# Get site integration
site_integration_id = request.data.get('site_integration_id')
force = request.data.get('force', False)
if site_integration_id:
site_integration = get_object_or_404(SiteIntegration, id=site_integration_id)
else:
# Get default WordPress integration for user's organization
site_integration = SiteIntegration.objects.filter(
platform='wordpress',
is_active=True,
# Add organization filter if applicable
).first()
if not site_integration:
return Response(
{
'success': False,
'message': 'No WordPress integration found',
'error': 'no_integration'
},
status=status.HTTP_400_BAD_REQUEST
)
# Check if already published (unless force is true)
if not force and content.wordpress_sync_status == 'success':
return Response(
{
'success': True,
'message': 'Content already published to WordPress',
'data': {
'content_id': content.id,
'wordpress_post_id': content.wordpress_post_id,
'wordpress_post_url': content.wordpress_post_url,
'status': 'already_published'
}
}
)
# Check if currently syncing
if content.wordpress_sync_status == 'syncing':
return Response(
{
'success': False,
'message': 'Content is currently being published to WordPress',
'error': 'sync_in_progress'
},
status=status.HTTP_409_CONFLICT
)
# Validate content is ready for publishing
if not content.title or not (content.content_html or content.content):
return Response(
{
'success': False,
'message': 'Content is incomplete - missing title or content',
'error': 'incomplete_content'
},
status=status.HTTP_400_BAD_REQUEST
)
# Set status to pending and queue the task
content.wordpress_sync_status = 'pending'
content.save(update_fields=['wordpress_sync_status'])
# Get task_id if content is associated with a writer task
task_id = None
if hasattr(content, 'writer_task'):
task_id = content.writer_task.id
# Queue the publishing task
task_result = publish_content_to_wordpress.delay(
content.id,
site_integration.id,
task_id
)
return Response(
{
'success': True,
'message': 'Content queued for WordPress publishing',
'data': {
'content_id': content.id,
'site_integration_id': site_integration.id,
'task_id': task_result.id,
'status': 'queued'
}
},
status=status.HTTP_202_ACCEPTED
)
except Exception as e:
return Response(
{
'success': False,
'message': f'Error queuing content for WordPress publishing: {str(e)}',
'error': 'server_error'
},
status=status.HTTP_500_INTERNAL_SERVER_ERROR
)
@api_view(['POST'])
@permission_classes([IsAuthenticated])
def bulk_publish_content(request) -> Response:
"""
Bulk publish multiple content items to WordPress
POST /api/v1/content/bulk-publish-to-wordpress/
Body:
{
"content_ids": [1, 2, 3, 4],
"site_integration_id": 123, // Optional
"force": false // Optional
}
"""
try:
content_ids = request.data.get('content_ids', [])
site_integration_id = request.data.get('site_integration_id')
force = request.data.get('force', False)
if not content_ids:
return Response(
{
'success': False,
'message': 'No content IDs provided',
'error': 'missing_content_ids'
},
status=status.HTTP_400_BAD_REQUEST
)
# Check permissions
if not request.user.has_perm('content.change_contentpost'):
return Response(
{
'success': False,
'message': 'Permission denied',
'error': 'insufficient_permissions'
},
status=status.HTTP_403_FORBIDDEN
)
# Get site integration
if site_integration_id:
site_integration = get_object_or_404(SiteIntegration, id=site_integration_id)
else:
site_integration = SiteIntegration.objects.filter(
platform='wordpress',
is_active=True,
).first()
if not site_integration:
return Response(
{
'success': False,
'message': 'No WordPress integration found',
'error': 'no_integration'
},
status=status.HTTP_400_BAD_REQUEST
)
# Validate content items
content_items = ContentPost.objects.filter(id__in=content_ids)
if content_items.count() != len(content_ids):
return Response(
{
'success': False,
'message': 'Some content items not found',
'error': 'content_not_found'
},
status=status.HTTP_404_NOT_FOUND
)
# Queue bulk publishing task
task_result = bulk_publish_content_to_wordpress.delay(
content_ids,
site_integration.id
)
return Response(
{
'success': True,
'message': f'{len(content_ids)} content items queued for WordPress publishing',
'data': {
'content_count': len(content_ids),
'site_integration_id': site_integration.id,
'task_id': task_result.id,
'status': 'queued'
}
},
status=status.HTTP_202_ACCEPTED
)
except Exception as e:
return Response(
{
'success': False,
'message': f'Error queuing bulk WordPress publishing: {str(e)}',
'error': 'server_error'
},
status=status.HTTP_500_INTERNAL_SERVER_ERROR
)
@api_view(['GET'])
@permission_classes([IsAuthenticated])
def get_wordpress_status(request, content_id: int) -> Response:
"""
Get WordPress publishing status for a content item
GET /api/v1/content/{content_id}/wordpress-status/
"""
try:
content = get_object_or_404(ContentPost, id=content_id)
return Response(
{
'success': True,
'data': {
'content_id': content.id,
'wordpress_sync_status': content.wordpress_sync_status,
'wordpress_post_id': content.wordpress_post_id,
'wordpress_post_url': content.wordpress_post_url,
'wordpress_sync_attempts': content.wordpress_sync_attempts,
'last_wordpress_sync': content.last_wordpress_sync.isoformat() if content.last_wordpress_sync else None,
}
}
)
except Exception as e:
return Response(
{
'success': False,
'message': f'Error getting WordPress status: {str(e)}',
'error': 'server_error'
},
status=status.HTTP_500_INTERNAL_SERVER_ERROR
)
@api_view(['GET'])
@permission_classes([IsAuthenticated])
def get_wordpress_integrations(request) -> Response:
"""
Get available WordPress integrations for publishing
GET /api/v1/wordpress-integrations/
"""
try:
integrations = SiteIntegration.objects.filter(
platform='wordpress',
is_active=True,
# Add organization filter if applicable
).values(
'id', 'site_name', 'site_url', 'is_active',
'created_at', 'last_sync_at'
)
return Response(
{
'success': True,
'data': list(integrations)
}
)
except Exception as e:
return Response(
{
'success': False,
'message': f'Error getting WordPress integrations: {str(e)}',
'error': 'server_error'
},
status=status.HTTP_500_INTERNAL_SERVER_ERROR
)
@api_view(['POST'])
@permission_classes([IsAuthenticated])
def retry_failed_wordpress_sync(request, content_id: int) -> Response:
"""
Retry a failed WordPress sync
POST /api/v1/content/{content_id}/retry-wordpress-sync/
"""
try:
content = get_object_or_404(ContentPost, id=content_id)
if content.wordpress_sync_status != 'failed':
return Response(
{
'success': False,
'message': 'Content is not in failed status',
'error': 'invalid_status'
},
status=status.HTTP_400_BAD_REQUEST
)
# Get default WordPress integration
site_integration = SiteIntegration.objects.filter(
platform='wordpress',
is_active=True,
).first()
if not site_integration:
return Response(
{
'success': False,
'message': 'No WordPress integration found',
'error': 'no_integration'
},
status=status.HTTP_400_BAD_REQUEST
)
# Reset status and retry
content.wordpress_sync_status = 'pending'
content.save(update_fields=['wordpress_sync_status'])
# Get task_id if available
task_id = None
if hasattr(content, 'writer_task'):
task_id = content.writer_task.id
# Queue the publishing task
task_result = publish_content_to_wordpress.delay(
content.id,
site_integration.id,
task_id
)
return Response(
{
'success': True,
'message': 'WordPress sync retry queued',
'data': {
'content_id': content.id,
'task_id': task_result.id,
'status': 'queued'
}
},
status=status.HTTP_202_ACCEPTED
)
except Exception as e:
return Response(
{
'success': False,
'message': f'Error retrying WordPress sync: {str(e)}',
'error': 'server_error'
},
status=status.HTTP_500_INTERNAL_SERVER_ERROR
)

File diff suppressed because it is too large Load Diff

View File

@@ -1,35 +0,0 @@
"""
Custom Authentication Backend - No Caching
Prevents cross-request user contamination by disabling Django's default user caching
"""
from django.contrib.auth.backends import ModelBackend
class NoCacheModelBackend(ModelBackend):
"""
Custom authentication backend that disables user object caching.
Django's default ModelBackend caches the user object in thread-local storage,
which can cause cross-request contamination when the same worker process
handles requests from different users.
This backend forces a fresh DB query on EVERY request to prevent user swapping.
"""
def get_user(self, user_id):
"""
Get user from database WITHOUT caching.
This overrides the default behavior which caches user objects
at the process level, causing session contamination.
"""
from django.contrib.auth import get_user_model
UserModel = get_user_model()
try:
# CRITICAL: Use select_related to load account/plan in ONE query
# But do NOT cache the result - return fresh object every time
user = UserModel.objects.select_related('account', 'account__plan').get(pk=user_id)
return user
except UserModel.DoesNotExist:
return None

View File

@@ -8,7 +8,7 @@ from django.db.models import Q
from igny8_core.auth.models import Account, User, Site, Sector
from igny8_core.modules.planner.models import Keywords, Clusters, ContentIdeas
from igny8_core.modules.writer.models import Tasks, Images, Content
from igny8_core.business.billing.models import CreditTransaction, CreditUsageLog
from igny8_core.modules.billing.models import CreditTransaction, CreditUsageLog
from igny8_core.modules.system.models import AIPrompt, IntegrationSettings, AuthorProfile, Strategy
from igny8_core.modules.system.settings_models import AccountSettings, UserSettings, ModuleSettings, AISettings

View File

@@ -1,82 +0,0 @@
"""
Management command to clean up expired and orphaned sessions
Helps prevent session contamination and reduces DB bloat
"""
from django.core.management.base import BaseCommand
from django.contrib.sessions.models import Session
from django.contrib.auth import get_user_model
from datetime import datetime, timedelta
User = get_user_model()
class Command(BaseCommand):
help = 'Clean up expired sessions and detect session contamination'
def add_arguments(self, parser):
parser.add_argument(
'--dry-run',
action='store_true',
help='Show what would be deleted without actually deleting',
)
parser.add_argument(
'--days',
type=int,
default=7,
help='Delete sessions older than X days (default: 7)',
)
def handle(self, *args, **options):
dry_run = options['dry_run']
days = options['days']
cutoff_date = datetime.now() - timedelta(days=days)
# Get all sessions
all_sessions = Session.objects.all()
expired_sessions = Session.objects.filter(expire_date__lt=datetime.now())
old_sessions = Session.objects.filter(expire_date__lt=cutoff_date)
self.stdout.write(f"\n📊 Session Statistics:")
self.stdout.write(f" Total sessions: {all_sessions.count()}")
self.stdout.write(f" Expired sessions: {expired_sessions.count()}")
self.stdout.write(f" Sessions older than {days} days: {old_sessions.count()}")
# Count sessions by user
user_sessions = {}
for session in all_sessions:
try:
data = session.get_decoded()
user_id = data.get('_auth_user_id')
if user_id:
user = User.objects.get(id=user_id)
key = f"{user.username} ({user.account.slug if user.account else 'no-account'})"
user_sessions[key] = user_sessions.get(key, 0) + 1
except:
pass
if user_sessions:
self.stdout.write(f"\n📈 Active sessions by user:")
for user_key, count in sorted(user_sessions.items(), key=lambda x: x[1], reverse=True)[:10]:
indicator = "⚠️ " if count > 20 else " "
self.stdout.write(f"{indicator}{user_key}: {count} sessions")
# Delete expired sessions
if expired_sessions.exists():
if dry_run:
self.stdout.write(self.style.WARNING(f"\n[DRY RUN] Would delete {expired_sessions.count()} expired sessions"))
else:
count = expired_sessions.delete()[0]
self.stdout.write(self.style.SUCCESS(f"\n✓ Deleted {count} expired sessions"))
else:
self.stdout.write(f"\n✓ No expired sessions to clean")
# Detect potential contamination
warnings = []
for user_key, count in user_sessions.items():
if count > 50:
warnings.append(f"User '{user_key}' has {count} active sessions (potential proliferation)")
if warnings:
self.stdout.write(self.style.WARNING(f"\n⚠️ Contamination Warnings:"))
for warning in warnings:
self.stdout.write(self.style.WARNING(f" {warning}"))
self.stdout.write(f"\n💡 Consider running: python manage.py clearsessions")

View File

@@ -25,7 +25,18 @@ class Command(BaseCommand):
'max_users': 999999,
'max_sites': 999999,
'max_keywords': 999999,
'max_ahrefs_queries': 999999,
'max_clusters': 999999,
'max_content_ideas': 999999,
'monthly_word_count_limit': 999999999,
'daily_content_tasks': 999999,
'daily_ai_requests': 999999,
'daily_ai_request_limit': 999999,
'monthly_ai_credit_limit': 999999,
'monthly_image_count': 999999,
'daily_image_generation_limit': 999999,
'monthly_cluster_ai_credits': 999999,
'monthly_content_ai_credits': 999999,
'monthly_image_ai_credits': 999999,
'included_credits': 999999,
'is_active': True,
'features': ['ai_writer', 'image_gen', 'auto_publish', 'custom_prompts', 'unlimited'],

View File

@@ -1,57 +0,0 @@
"""
Management command to create or update the Free Trial plan
"""
from django.core.management.base import BaseCommand
from igny8_core.auth.models import Plan
class Command(BaseCommand):
help = 'Create or update the Free Trial plan for signup'
def handle(self, *args, **options):
self.stdout.write('Creating/updating Free Trial plan...')
plan, created = Plan.objects.update_or_create(
slug='free-trial',
defaults={
'name': 'Free Trial',
'price': 0.00,
'billing_cycle': 'monthly',
'included_credits': 2000, # 2000 credits for trial
'credits_per_month': 2000, # Legacy field
'max_sites': 1,
'max_users': 1,
'max_industries': 3, # 3 sectors per site
'max_author_profiles': 2,
'is_active': True,
'features': ['ai_writer', 'planner', 'basic_support'],
'allow_credit_topup': False, # No top-up during trial
'extra_credit_price': 0.00,
}
)
if created:
self.stdout.write(self.style.SUCCESS(
f'✓ Created Free Trial plan (ID: {plan.id})'
))
else:
self.stdout.write(self.style.SUCCESS(
f'✓ Updated Free Trial plan (ID: {plan.id})'
))
self.stdout.write(self.style.SUCCESS(
f' - Credits: {plan.included_credits}'
))
self.stdout.write(self.style.SUCCESS(
f' - Max Sites: {plan.max_sites}'
))
self.stdout.write(self.style.SUCCESS(
f' - Max Sectors: {plan.max_industries}'
))
self.stdout.write(self.style.SUCCESS(
f' - Status: {"Active" if plan.is_active else "Inactive"}'
))
self.stdout.write(self.style.SUCCESS(
'\nFree Trial plan is ready for signup!'
))

View File

@@ -1,42 +0,0 @@
from django.core.management.base import BaseCommand
from django.utils import timezone
from igny8_core.auth.models import Account, Site, Sector
from igny8_core.business.planning.models import Clusters, Keywords, ContentIdeas
from igny8_core.business.content.models import Tasks, Content, Images
class Command(BaseCommand):
help = "Permanently delete soft-deleted records whose retention window has expired."
def handle(self, *args, **options):
now = timezone.now()
total_deleted = 0
models = [
Account,
Site,
Sector,
Clusters,
Keywords,
ContentIdeas,
Tasks,
Content,
Images,
]
for model in models:
qs = model.all_objects.filter(is_deleted=True, restore_until__lt=now)
if model is Account:
qs = qs.exclude(slug='aws-admin')
count = qs.count()
if count:
qs.delete()
total_deleted += count
self.stdout.write(self.style.SUCCESS(f"Purged {count} {model.__name__} record(s)."))
if total_deleted == 0:
self.stdout.write("No expired soft-deleted records to purge.")
else:
self.stdout.write(self.style.SUCCESS(f"Total purged: {total_deleted}"))

View File

@@ -2,27 +2,9 @@
Multi-Account Middleware
Extracts account from JWT token and injects into request context
"""
import logging
from django.utils.deprecation import MiddlewareMixin
from django.http import JsonResponse
from django.contrib.auth import logout
from rest_framework import status
import json
from datetime import datetime
logger = logging.getLogger('auth.middleware')
# Logout reason codes for precise tracking
LOGOUT_REASONS = {
'SESSION_ACCOUNT_MISMATCH': 'Session contamination: account ID mismatch',
'SESSION_USER_MISMATCH': 'Session contamination: user ID mismatch',
'ACCOUNT_MISSING': 'Account not configured for this user',
'ACCOUNT_SUSPENDED': 'Account is suspended',
'ACCOUNT_CANCELLED': 'Account is cancelled',
'PLAN_MISSING': 'No subscription plan assigned',
'PLAN_INACTIVE': 'Subscription plan is inactive',
'USER_INACTIVE': 'User account is inactive',
}
try:
import jwt
@@ -48,25 +30,30 @@ class AccountContextMiddleware(MiddlewareMixin):
# First, try to get user from Django session (cookie-based auth)
# This handles cases where frontend uses credentials: 'include' with session cookies
if hasattr(request, 'user') and request.user and request.user.is_authenticated:
# CRITICAL FIX: Never query DB again or mutate request.user
# Django's AuthenticationMiddleware already loaded the user correctly
# Just use it directly and set request.account from the ALREADY LOADED relationship
# User is authenticated via session - refresh from DB to get latest account/plan data
# This ensures changes to account/plan are reflected immediately without re-login
try:
# Validate account/plan - but use the user object already set by Django
validation_error = self._validate_account_and_plan(request, request.user)
if validation_error:
return validation_error
# Set request.account from the user's account relationship
# This is already loaded, no need to query DB again
request.account = getattr(request.user, 'account', None)
# REMOVED: Session contamination checks on every request
# These were causing random logouts - session integrity handled by Django
return None
except (AttributeError, Exception):
# If anything fails, just set account to None and continue
from .models import User as UserModel
# Refresh user from DB with account and plan relationships to get latest data
# This is important so account/plan changes are reflected immediately
user = UserModel.objects.select_related('account', 'account__plan').get(id=request.user.id)
# Update request.user with fresh data
request.user = user
# Get account from refreshed user
user_account = getattr(user, 'account', None)
if user_account:
request.account = user_account
return None
except (AttributeError, UserModel.DoesNotExist, Exception):
# If refresh fails, fallback to cached account
try:
user_account = getattr(request.user, 'account', None)
if user_account:
request.account = user_account
return None
except (AttributeError, Exception):
pass
# If account access fails (e.g., column mismatch), set to None
request.account = None
return None
@@ -89,6 +76,7 @@ class AccountContextMiddleware(MiddlewareMixin):
if not JWT_AVAILABLE:
# JWT library not installed yet - skip for now
request.account = None
request.user = None
return None
# Decode JWT token with signature verification
@@ -106,92 +94,42 @@ class AccountContextMiddleware(MiddlewareMixin):
if user_id:
from .models import User, Account
try:
# Get user from DB (but don't set request.user - let DRF authentication handle that)
# Only set request.account for account context
# Refresh user from DB with account and plan relationships to get latest data
# This ensures changes to account/plan are reflected immediately without re-login
user = User.objects.select_related('account', 'account__plan').get(id=user_id)
validation_error = self._validate_account_and_plan(request, user)
if validation_error:
return validation_error
request.user = user
if account_id:
# Verify account still exists
try:
account = Account.objects.get(id=account_id)
# Verify account still exists and matches user
account = Account.objects.get(id=account_id)
# If user's account changed, use the new one from user object
if user.account and user.account.id != account_id:
request.account = user.account
else:
request.account = account
except Account.DoesNotExist:
# Account from token doesn't exist - don't fallback, set to None
request.account = None
else:
# No account_id in token - set to None (don't fallback to user.account)
request.account = None
try:
user_account = getattr(user, 'account', None)
if user_account:
request.account = user_account
else:
request.account = None
except (AttributeError, Exception):
# If account access fails (e.g., column mismatch), set to None
request.account = None
except (User.DoesNotExist, Account.DoesNotExist):
request.account = None
request.user = None
else:
request.account = None
request.user = None
except jwt.InvalidTokenError:
request.account = None
request.user = None
except Exception:
# Fail silently for now - allow unauthenticated access
request.account = None
request.user = None
return None
def _validate_account_and_plan(self, request, user):
"""
Ensure the authenticated user has an account and an active plan.
Uses shared validation helper for consistency.
"""
from .utils import validate_account_and_plan
is_valid, error_message, http_status = validate_account_and_plan(user)
if not is_valid:
return self._deny_request(request, error_message, http_status)
return None
def _deny_request(self, request, error, status_code):
"""Logout session users (if any) and return a consistent JSON error with detailed tracking."""
# Determine logout reason code based on error message
reason_code = 'UNKNOWN'
if 'Account not configured' in error or 'Account not found' in error:
reason_code = 'ACCOUNT_MISSING'
elif 'suspended' in error.lower():
reason_code = 'ACCOUNT_SUSPENDED'
elif 'cancelled' in error.lower():
reason_code = 'ACCOUNT_CANCELLED'
elif 'No subscription plan' in error or 'plan assigned' in error.lower():
reason_code = 'PLAN_MISSING'
elif 'plan is inactive' in error.lower() or 'Active subscription required' in error:
reason_code = 'PLAN_INACTIVE'
elif 'inactive' in error.lower():
reason_code = 'USER_INACTIVE'
try:
if hasattr(request, 'user') and request.user and request.user.is_authenticated:
logger.warning(
f"[AUTO-LOGOUT] {reason_code}: {error}. "
f"User={request.user.id}, Account={getattr(request, 'account', None)}, "
f"Path={request.path}, IP={request.META.get('REMOTE_ADDR')}, "
f"Status={status_code}, Timestamp={datetime.now().isoformat()}"
)
logout(request)
except Exception as e:
logger.error(f"[AUTO-LOGOUT] Error during logout: {e}")
return JsonResponse(
{
'success': False,
'error': error,
'logout_reason': reason_code,
'logout_message': LOGOUT_REASONS.get(reason_code, error),
'logout_path': request.path,
'logout_context': {
'user_id': request.user.id if hasattr(request, 'user') and request.user and request.user.is_authenticated else None,
'account_id': getattr(request, 'account', None).id if hasattr(request, 'account') and getattr(request, 'account', None) else None,
'status_code': status_code,
}
},
status=status_code,
)

View File

@@ -1,4 +1,4 @@
# Generated by Django 5.2.8 on 2025-11-20 23:27
# Generated by Django 5.2.7 on 2025-11-02 21:42
import django.contrib.auth.models
import django.contrib.auth.validators
@@ -25,22 +25,12 @@ class Migration(migrations.Migration):
('name', models.CharField(max_length=255)),
('slug', models.SlugField(max_length=255, unique=True)),
('price', models.DecimalField(decimal_places=2, max_digits=10)),
('billing_cycle', models.CharField(choices=[('monthly', 'Monthly'), ('annual', 'Annual')], default='monthly', max_length=20)),
('features', models.JSONField(blank=True, default=list, help_text="Plan features as JSON array (e.g., ['ai_writer', 'image_gen', 'auto_publish'])")),
('credits_per_month', models.IntegerField(default=0, validators=[django.core.validators.MinValueValidator(0)])),
('max_sites', models.IntegerField(default=1, help_text='Maximum number of sites allowed (1-10)', validators=[django.core.validators.MinValueValidator(1), django.core.validators.MaxValueValidator(10)])),
('features', models.JSONField(default=dict, help_text='Plan features as JSON')),
('stripe_price_id', models.CharField(blank=True, max_length=255, null=True)),
('is_active', models.BooleanField(default=True)),
('created_at', models.DateTimeField(auto_now_add=True)),
('max_users', models.IntegerField(default=1, help_text='Total users allowed per account', validators=[django.core.validators.MinValueValidator(1)])),
('max_sites', models.IntegerField(default=1, help_text='Maximum number of sites allowed', validators=[django.core.validators.MinValueValidator(1)])),
('max_industries', models.IntegerField(blank=True, default=None, help_text='Optional limit for industries/sectors', null=True, validators=[django.core.validators.MinValueValidator(1)])),
('max_author_profiles', models.IntegerField(default=5, help_text='Limit for saved writing styles', validators=[django.core.validators.MinValueValidator(0)])),
('included_credits', models.IntegerField(default=0, help_text='Monthly credits included', validators=[django.core.validators.MinValueValidator(0)])),
('extra_credit_price', models.DecimalField(decimal_places=2, default=0.01, help_text='Price per additional credit', max_digits=10)),
('allow_credit_topup', models.BooleanField(default=True, help_text='Can user purchase more credits?')),
('auto_credit_topup_threshold', models.IntegerField(blank=True, default=None, help_text='Auto top-up trigger point (optional)', null=True, validators=[django.core.validators.MinValueValidator(0)])),
('auto_credit_topup_amount', models.IntegerField(blank=True, default=None, help_text='How many credits to auto-buy', null=True, validators=[django.core.validators.MinValueValidator(1)])),
('stripe_product_id', models.CharField(blank=True, help_text='For Stripe plan sync', max_length=255, null=True)),
('stripe_price_id', models.CharField(blank=True, help_text='Monthly price ID for Stripe', max_length=255, null=True)),
('credits_per_month', models.IntegerField(default=0, help_text='DEPRECATED: Use included_credits instead', validators=[django.core.validators.MinValueValidator(0)])),
],
options={
'db_table': 'igny8_plans',
@@ -60,7 +50,7 @@ class Migration(migrations.Migration):
('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')),
('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')),
('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')),
('role', models.CharField(choices=[('developer', 'Developer / Super Admin'), ('owner', 'Owner'), ('admin', 'Admin'), ('editor', 'Editor'), ('viewer', 'Viewer'), ('system_bot', 'System Bot')], default='viewer', max_length=20)),
('role', models.CharField(choices=[('owner', 'Owner'), ('admin', 'Admin'), ('editor', 'Editor'), ('viewer', 'Viewer'), ('system_bot', 'System Bot')], default='viewer', max_length=20)),
('email', models.EmailField(max_length=254, unique=True, verbose_name='email address')),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
@@ -75,7 +65,7 @@ class Migration(migrations.Migration):
],
),
migrations.CreateModel(
name='Account',
name='Tenant',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
@@ -85,93 +75,28 @@ class Migration(migrations.Migration):
('status', models.CharField(choices=[('active', 'Active'), ('suspended', 'Suspended'), ('trial', 'Trial'), ('cancelled', 'Cancelled')], default='trial', max_length=20)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('owner', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='owned_accounts', to=settings.AUTH_USER_MODEL)),
('plan', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='accounts', to='igny8_core_auth.plan')),
('owner', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='owned_tenants', to=settings.AUTH_USER_MODEL)),
('plan', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='tenants', to='igny8_core_auth.plan')),
],
options={
'verbose_name': 'Account',
'verbose_name_plural': 'Accounts',
'db_table': 'igny8_tenants',
},
),
migrations.AddField(
model_name='user',
name='account',
field=models.ForeignKey(blank=True, db_column='tenant_id', null=True, on_delete=django.db.models.deletion.CASCADE, related_name='users', to='igny8_core_auth.account'),
),
migrations.CreateModel(
name='Industry',
name='Subscription',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255, unique=True)),
('slug', models.SlugField(max_length=255, unique=True)),
('description', models.TextField(blank=True, null=True)),
('is_active', models.BooleanField(db_index=True, default=True)),
('stripe_subscription_id', models.CharField(max_length=255, unique=True)),
('status', models.CharField(choices=[('active', 'Active'), ('past_due', 'Past Due'), ('canceled', 'Canceled'), ('trialing', 'Trialing')], max_length=20)),
('current_period_start', models.DateTimeField()),
('current_period_end', models.DateTimeField()),
('cancel_at_period_end', models.BooleanField(default=False)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('tenant', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='subscription', to='igny8_core_auth.tenant')),
],
options={
'verbose_name': 'Industry',
'verbose_name_plural': 'Industries',
'db_table': 'igny8_industries',
'ordering': ['name'],
'indexes': [models.Index(fields=['slug'], name='igny8_indus_slug_2f8769_idx'), models.Index(fields=['is_active'], name='igny8_indus_is_acti_146d41_idx')],
},
),
migrations.CreateModel(
name='IndustrySector',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('slug', models.SlugField(max_length=255)),
('description', models.TextField(blank=True, null=True)),
('suggested_keywords', models.JSONField(default=list, help_text='List of suggested keywords for this sector template')),
('is_active', models.BooleanField(db_index=True, default=True)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('industry', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sectors', to='igny8_core_auth.industry')),
],
options={
'verbose_name': 'Industry Sector',
'verbose_name_plural': 'Industry Sectors',
'db_table': 'igny8_industry_sectors',
'ordering': ['industry', 'name'],
},
),
migrations.CreateModel(
name='PasswordResetToken',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('token', models.CharField(db_index=True, max_length=255, unique=True)),
('expires_at', models.DateTimeField()),
('used', models.BooleanField(default=False)),
('created_at', models.DateTimeField(auto_now_add=True)),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='password_reset_tokens', to=settings.AUTH_USER_MODEL)),
],
options={
'db_table': 'igny8_password_reset_tokens',
'ordering': ['-created_at'],
},
),
migrations.CreateModel(
name='SeedKeyword',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('keyword', models.CharField(db_index=True, max_length=255)),
('volume', models.IntegerField(default=0, help_text='Search volume estimate')),
('difficulty', models.IntegerField(default=0, help_text='Keyword difficulty (0-100)', validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(100)])),
('intent', models.CharField(choices=[('informational', 'Informational'), ('navigational', 'Navigational'), ('commercial', 'Commercial'), ('transactional', 'Transactional')], default='informational', max_length=50)),
('is_active', models.BooleanField(db_index=True, default=True)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('industry', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='seed_keywords', to='igny8_core_auth.industry')),
('sector', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='seed_keywords', to='igny8_core_auth.industrysector')),
],
options={
'verbose_name': 'Seed Keyword',
'verbose_name_plural': 'Seed Keywords',
'db_table': 'igny8_seed_keywords',
'ordering': ['keyword'],
'db_table': 'igny8_subscriptions',
},
),
migrations.CreateModel(
@@ -186,18 +111,13 @@ class Migration(migrations.Migration):
('status', models.CharField(choices=[('active', 'Active'), ('inactive', 'Inactive'), ('suspended', 'Suspended')], default='active', max_length=20)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('wp_url', models.URLField(blank=True, help_text='WordPress site URL (legacy - use SiteIntegration)', null=True)),
('wp_url', models.URLField(blank=True, help_text='WordPress site URL', null=True)),
('wp_username', models.CharField(blank=True, max_length=255, null=True)),
('wp_app_password', models.CharField(blank=True, max_length=255, null=True)),
('site_type', models.CharField(choices=[('marketing', 'Marketing Site'), ('ecommerce', 'Ecommerce Site'), ('blog', 'Blog'), ('portfolio', 'Portfolio'), ('corporate', 'Corporate')], db_index=True, default='marketing', help_text='Type of site', max_length=50)),
('hosting_type', models.CharField(choices=[('igny8_sites', 'IGNY8 Sites'), ('wordpress', 'WordPress'), ('shopify', 'Shopify'), ('multi', 'Multi-Destination')], db_index=True, default='igny8_sites', help_text='Target hosting platform', max_length=50)),
('seo_metadata', models.JSONField(blank=True, default=dict, help_text='SEO metadata: meta tags, Open Graph, Schema.org')),
('account', models.ForeignKey(db_column='tenant_id', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.account')),
('industry', models.ForeignKey(blank=True, help_text='Industry this site belongs to', null=True, on_delete=django.db.models.deletion.PROTECT, related_name='sites', to='igny8_core_auth.industry')),
('tenant', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.tenant')),
],
options={
'db_table': 'igny8_sites',
'ordering': ['-created_at'],
},
),
migrations.CreateModel(
@@ -211,14 +131,18 @@ class Migration(migrations.Migration):
('status', models.CharField(choices=[('active', 'Active'), ('inactive', 'Inactive')], default='active', max_length=20)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('account', models.ForeignKey(db_column='tenant_id', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.account')),
('industry_sector', models.ForeignKey(blank=True, help_text='Reference to the industry sector template', null=True, on_delete=django.db.models.deletion.PROTECT, related_name='site_sectors', to='igny8_core_auth.industrysector')),
('site', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sectors', to='igny8_core_auth.site')),
('tenant', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='igny8_core_auth.tenant')),
],
options={
'db_table': 'igny8_sectors',
},
),
migrations.AddField(
model_name='user',
name='tenant',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='users', to='igny8_core_auth.tenant'),
),
migrations.CreateModel(
name='SiteUserAccess',
fields=[
@@ -229,111 +153,34 @@ class Migration(migrations.Migration):
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='site_access', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'Site User Access',
'verbose_name_plural': 'Site User Access',
'db_table': 'igny8_site_user_access',
},
),
migrations.CreateModel(
name='Subscription',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('stripe_subscription_id', models.CharField(max_length=255, unique=True)),
('status', models.CharField(choices=[('active', 'Active'), ('past_due', 'Past Due'), ('canceled', 'Canceled'), ('trialing', 'Trialing')], max_length=20)),
('current_period_start', models.DateTimeField()),
('current_period_end', models.DateTimeField()),
('cancel_at_period_end', models.BooleanField(default=False)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('account', models.OneToOneField(db_column='tenant_id', on_delete=django.db.models.deletion.CASCADE, related_name='subscription', to='igny8_core_auth.account')),
],
options={
'db_table': 'igny8_subscriptions',
'indexes': [models.Index(fields=['user', 'site'], name='igny8_site__user_id_61951e_idx')],
'unique_together': {('user', 'site')},
},
),
migrations.AddIndex(
model_name='user',
index=models.Index(fields=['account', 'role'], name='igny8_users_tenant__0ab02b_idx'),
),
migrations.AddIndex(
model_name='user',
index=models.Index(fields=['email'], name='igny8_users_email_fd61ff_idx'),
),
migrations.AddIndex(
model_name='industrysector',
index=models.Index(fields=['industry', 'is_active'], name='igny8_indus_industr_00b524_idx'),
),
migrations.AddIndex(
model_name='industrysector',
index=models.Index(fields=['slug'], name='igny8_indus_slug_101d63_idx'),
),
migrations.AlterUniqueTogether(
name='industrysector',
unique_together={('industry', 'slug')},
),
migrations.AddIndex(
model_name='passwordresettoken',
index=models.Index(fields=['token'], name='igny8_passw_token_0eaf0c_idx'),
),
migrations.AddIndex(
model_name='passwordresettoken',
index=models.Index(fields=['user', 'used'], name='igny8_passw_user_id_320c02_idx'),
),
migrations.AddIndex(
model_name='passwordresettoken',
index=models.Index(fields=['expires_at'], name='igny8_passw_expires_c9aa03_idx'),
),
migrations.AddIndex(
model_name='account',
model_name='tenant',
index=models.Index(fields=['slug'], name='igny8_tenan_slug_f25e97_idx'),
),
migrations.AddIndex(
model_name='account',
model_name='tenant',
index=models.Index(fields=['status'], name='igny8_tenan_status_5dc02a_idx'),
),
migrations.AddIndex(
model_name='seedkeyword',
index=models.Index(fields=['keyword'], name='igny8_seed__keyword_efa089_idx'),
),
migrations.AddIndex(
model_name='seedkeyword',
index=models.Index(fields=['industry', 'sector'], name='igny8_seed__industr_c41841_idx'),
),
migrations.AddIndex(
model_name='seedkeyword',
index=models.Index(fields=['industry', 'sector', 'is_active'], name='igny8_seed__industr_da0030_idx'),
),
migrations.AddIndex(
model_name='seedkeyword',
index=models.Index(fields=['intent'], name='igny8_seed__intent_15020d_idx'),
),
migrations.AlterUniqueTogether(
name='seedkeyword',
unique_together={('keyword', 'industry', 'sector')},
model_name='subscription',
index=models.Index(fields=['status'], name='igny8_subsc_status_2fa897_idx'),
),
migrations.AddIndex(
model_name='site',
index=models.Index(fields=['account', 'is_active'], name='igny8_sites_tenant__e0f31d_idx'),
index=models.Index(fields=['tenant', 'is_active'], name='igny8_sites_tenant__e0f31d_idx'),
),
migrations.AddIndex(
model_name='site',
index=models.Index(fields=['account', 'status'], name='igny8_sites_tenant__a20275_idx'),
),
migrations.AddIndex(
model_name='site',
index=models.Index(fields=['industry'], name='igny8_sites_industr_66e004_idx'),
),
migrations.AddIndex(
model_name='site',
index=models.Index(fields=['site_type'], name='igny8_sites_site_ty_0dfbc3_idx'),
),
migrations.AddIndex(
model_name='site',
index=models.Index(fields=['hosting_type'], name='igny8_sites_hosting_c484c2_idx'),
index=models.Index(fields=['tenant', 'status'], name='igny8_sites_tenant__a20275_idx'),
),
migrations.AlterUniqueTogether(
name='site',
unique_together={('account', 'slug')},
unique_together={('tenant', 'slug')},
),
migrations.AddIndex(
model_name='sector',
@@ -341,26 +188,18 @@ class Migration(migrations.Migration):
),
migrations.AddIndex(
model_name='sector',
index=models.Index(fields=['account', 'site'], name='igny8_secto_tenant__af54ae_idx'),
),
migrations.AddIndex(
model_name='sector',
index=models.Index(fields=['industry_sector'], name='igny8_secto_industr_1cf990_idx'),
index=models.Index(fields=['tenant', 'site'], name='igny8_secto_tenant__af54ae_idx'),
),
migrations.AlterUniqueTogether(
name='sector',
unique_together={('site', 'slug')},
),
migrations.AddIndex(
model_name='siteuseraccess',
index=models.Index(fields=['user', 'site'], name='igny8_site__user_id_61951e_idx'),
),
migrations.AlterUniqueTogether(
name='siteuseraccess',
unique_together={('user', 'site')},
model_name='user',
index=models.Index(fields=['tenant', 'role'], name='igny8_users_tenant__0ab02b_idx'),
),
migrations.AddIndex(
model_name='subscription',
index=models.Index(fields=['status'], name='igny8_subsc_status_2fa897_idx'),
model_name='user',
index=models.Index(fields=['email'], name='igny8_users_email_fd61ff_idx'),
),
]

View File

@@ -0,0 +1,13 @@
# Generated by Django 5.2.7 on 2025-11-02 22:27
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0001_initial'),
]
operations = [
]

View File

@@ -1,19 +0,0 @@
# Generated manually for adding wp_api_key to Site model
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='site',
name='wp_api_key',
field=models.CharField(blank=True, help_text='API key for WordPress integration via IGNY8 WP Bridge plugin', max_length=255, null=True),
),
]

View File

@@ -1,17 +0,0 @@
# Generated by Django 5.2.8 on 2025-12-01 00:05
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0002_add_wp_api_key_to_site'),
]
operations = [
migrations.AlterModelOptions(
name='seedkeyword',
options={'ordering': ['keyword'], 'verbose_name': 'Seed Keyword', 'verbose_name_plural': 'Global Keywords Database'},
),
]

View File

@@ -0,0 +1,18 @@
# Generated by Django 5.2.7 on 2025-11-03 13:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0002_add_developer_role'),
]
operations = [
migrations.AlterField(
model_name='user',
name='role',
field=models.CharField(choices=[('developer', 'Developer / Super Admin'), ('owner', 'Owner'), ('admin', 'Admin'), ('editor', 'Editor'), ('viewer', 'Viewer'), ('system_bot', 'System Bot')], default='viewer', max_length=20),
),
]

View File

@@ -0,0 +1,75 @@
# Generated migration for Industry and IndustrySector models
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0003_alter_user_role'),
]
operations = [
migrations.CreateModel(
name='Industry',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255, unique=True)),
('slug', models.SlugField(db_index=True, max_length=255, unique=True)),
('description', models.TextField(blank=True, null=True)),
('is_active', models.BooleanField(db_index=True, default=True)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
],
options={
'db_table': 'igny8_industries',
'ordering': ['name'],
},
),
migrations.CreateModel(
name='IndustrySector',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('slug', models.SlugField(db_index=True, max_length=255)),
('description', models.TextField(blank=True, null=True)),
('suggested_keywords', models.JSONField(default=list, help_text='List of suggested keywords for this sector template')),
('is_active', models.BooleanField(db_index=True, default=True)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('industry', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sectors', to='igny8_core_auth.industry')),
],
options={
'db_table': 'igny8_industry_sectors',
'ordering': ['industry', 'name'],
'unique_together': {('industry', 'slug')},
},
),
migrations.AddField(
model_name='sector',
name='industry_sector',
field=models.ForeignKey(blank=True, help_text='Reference to the industry sector template', null=True, on_delete=django.db.models.deletion.PROTECT, related_name='site_sectors', to='igny8_core_auth.industrysector'),
),
migrations.AddIndex(
model_name='industry',
index=models.Index(fields=['slug'], name='igny8_indu_slug_idx'),
),
migrations.AddIndex(
model_name='industry',
index=models.Index(fields=['is_active'], name='igny8_indu_is_acti_idx'),
),
migrations.AddIndex(
model_name='industrysector',
index=models.Index(fields=['industry', 'is_active'], name='igny8_indu_industr_idx'),
),
migrations.AddIndex(
model_name='industrysector',
index=models.Index(fields=['slug'], name='igny8_indu_slug_1_idx'),
),
migrations.AddIndex(
model_name='sector',
index=models.Index(fields=['industry_sector'], name='igny8_sect_industr_idx'),
),
]

View File

@@ -1,53 +0,0 @@
# Generated by Django 5.2.8 on 2025-12-04 23:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0003_add_sync_event_model'),
]
operations = [
migrations.AddField(
model_name='account',
name='billing_address_line1',
field=models.CharField(blank=True, help_text='Street address', max_length=255),
),
migrations.AddField(
model_name='account',
name='billing_address_line2',
field=models.CharField(blank=True, help_text='Apt, suite, etc.', max_length=255),
),
migrations.AddField(
model_name='account',
name='billing_city',
field=models.CharField(blank=True, max_length=100),
),
migrations.AddField(
model_name='account',
name='billing_country',
field=models.CharField(blank=True, help_text='ISO 2-letter country code', max_length=2),
),
migrations.AddField(
model_name='account',
name='billing_email',
field=models.EmailField(blank=True, help_text='Email for billing notifications', max_length=254, null=True),
),
migrations.AddField(
model_name='account',
name='billing_postal_code',
field=models.CharField(blank=True, max_length=20),
),
migrations.AddField(
model_name='account',
name='billing_state',
field=models.CharField(blank=True, help_text='State/Province/Region', max_length=100),
),
migrations.AddField(
model_name='account',
name='tax_id',
field=models.CharField(blank=True, help_text='VAT/Tax ID number', max_length=100),
),
]

View File

@@ -1,23 +0,0 @@
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0004_add_invoice_payment_models'),
]
operations = [
migrations.AlterField(
model_name='account',
name='owner',
field=models.ForeignKey(
blank=True,
null=True,
on_delete=django.db.models.deletion.SET_NULL,
related_name='owned_accounts',
to='igny8_core_auth.user',
),
),
]

View File

@@ -0,0 +1,31 @@
# Migration to add industry field to Site model
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0004_add_industry_models'),
]
operations = [
migrations.AddField(
model_name='site',
name='industry',
field=models.ForeignKey(
blank=True,
help_text='Industry this site belongs to',
null=True,
on_delete=django.db.models.deletion.PROTECT,
related_name='sites',
to='igny8_core_auth.industry'
),
),
migrations.AddIndex(
model_name='site',
index=models.Index(fields=['industry'], name='igny8_site_industr_idx'),
),
]

View File

@@ -1,93 +0,0 @@
from django.db import migrations, models
import django.db.models.deletion
from django.core.validators import MinValueValidator, MaxValueValidator
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0005_account_owner_nullable'),
]
operations = [
migrations.AddField(
model_name='account',
name='delete_reason',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='account',
name='deleted_at',
field=models.DateTimeField(blank=True, db_index=True, null=True),
),
migrations.AddField(
model_name='account',
name='deleted_by',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='igny8_core_auth.user'),
),
migrations.AddField(
model_name='account',
name='deletion_retention_days',
field=models.PositiveIntegerField(default=14, help_text='Retention window (days) before soft-deleted items are purged', validators=[MinValueValidator(1), MaxValueValidator(365)]),
),
migrations.AddField(
model_name='account',
name='is_deleted',
field=models.BooleanField(db_index=True, default=False),
),
migrations.AddField(
model_name='account',
name='restore_until',
field=models.DateTimeField(blank=True, db_index=True, null=True),
),
migrations.AddField(
model_name='sector',
name='delete_reason',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='sector',
name='deleted_at',
field=models.DateTimeField(blank=True, db_index=True, null=True),
),
migrations.AddField(
model_name='sector',
name='deleted_by',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='igny8_core_auth.user'),
),
migrations.AddField(
model_name='sector',
name='is_deleted',
field=models.BooleanField(db_index=True, default=False),
),
migrations.AddField(
model_name='sector',
name='restore_until',
field=models.DateTimeField(blank=True, db_index=True, null=True),
),
migrations.AddField(
model_name='site',
name='delete_reason',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AddField(
model_name='site',
name='deleted_at',
field=models.DateTimeField(blank=True, db_index=True, null=True),
),
migrations.AddField(
model_name='site',
name='deleted_by',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='igny8_core_auth.user'),
),
migrations.AddField(
model_name='site',
name='is_deleted',
field=models.BooleanField(db_index=True, default=False),
),
migrations.AddField(
model_name='site',
name='restore_until',
field=models.DateTimeField(blank=True, db_index=True, null=True),
),
]

View File

@@ -1,105 +0,0 @@
# Generated manually based on FINAL-IMPLEMENTATION-REQUIREMENTS.md
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0006_soft_delete_and_retention'),
]
operations = [
# Add payment_method to Account
migrations.AddField(
model_name='account',
name='payment_method',
field=models.CharField(
max_length=30,
choices=[
('stripe', 'Stripe'),
('paypal', 'PayPal'),
('bank_transfer', 'Bank Transfer'),
],
default='stripe',
help_text='Payment method used for this account'
),
),
# Add payment_method to Subscription
migrations.AddField(
model_name='subscription',
name='payment_method',
field=models.CharField(
max_length=30,
choices=[
('stripe', 'Stripe'),
('paypal', 'PayPal'),
('bank_transfer', 'Bank Transfer'),
],
default='stripe',
help_text='Payment method for this subscription'
),
),
# Add external_payment_id to Subscription
migrations.AddField(
model_name='subscription',
name='external_payment_id',
field=models.CharField(
max_length=255,
blank=True,
null=True,
help_text='External payment reference (bank transfer ref, PayPal transaction ID)'
),
),
# Make stripe_subscription_id nullable
migrations.AlterField(
model_name='subscription',
name='stripe_subscription_id',
field=models.CharField(
max_length=255,
blank=True,
null=True,
db_index=True,
help_text='Stripe subscription ID (when using Stripe)'
),
),
# Add pending_payment status to Account
migrations.AlterField(
model_name='account',
name='status',
field=models.CharField(
max_length=20,
choices=[
('active', 'Active'),
('suspended', 'Suspended'),
('trial', 'Trial'),
('cancelled', 'Cancelled'),
('pending_payment', 'Pending Payment'),
],
default='trial'
),
),
# Add pending_payment status to Subscription
migrations.AlterField(
model_name='subscription',
name='status',
field=models.CharField(
max_length=20,
choices=[
('active', 'Active'),
('past_due', 'Past Due'),
('canceled', 'Canceled'),
('trialing', 'Trialing'),
('pending_payment', 'Pending Payment'),
]
),
),
# Add index on payment_method
migrations.AddIndex(
model_name='account',
index=models.Index(fields=['payment_method'], name='auth_acc_payment_idx'),
),
migrations.AddIndex(
model_name='subscription',
index=models.Index(fields=['payment_method'], name='auth_sub_payment_idx'),
),
]

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"""Add extended plan configuration fields"""
from decimal import Decimal
from django.core.validators import MinValueValidator
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0006_add_industry_to_site'),
]
operations = [
migrations.AddField(
model_name='plan',
name='ai_cost_per_request',
field=models.JSONField(default=dict, help_text="Cost per request type (e.g., {'cluster': 2, 'idea': 3, 'content': 5, 'image': 1})"),
),
migrations.AddField(
model_name='plan',
name='allow_credit_topup',
field=models.BooleanField(default=True, help_text='Can user purchase more credits?'),
),
migrations.AddField(
model_name='plan',
name='billing_cycle',
field=models.CharField(choices=[('monthly', 'Monthly'), ('annual', 'Annual')], default='monthly', max_length=20),
),
migrations.AddField(
model_name='plan',
name='daily_ai_request_limit',
field=models.IntegerField(default=100, help_text='Global daily AI request cap', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='daily_ai_requests',
field=models.IntegerField(default=50, help_text='Total AI executions (content + idea + image) allowed per day', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='daily_cluster_limit',
field=models.IntegerField(default=10, help_text='Max clusters that can be created per day', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='daily_content_tasks',
field=models.IntegerField(default=10, help_text='Max number of content tasks (blogs) per day', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='daily_keyword_import_limit',
field=models.IntegerField(default=100, help_text='SeedKeywords import limit per day', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='extra_credit_price',
field=models.DecimalField(decimal_places=2, default=Decimal('0.01'), help_text='Price per additional credit', max_digits=10),
),
migrations.AddField(
model_name='plan',
name='image_model_choices',
field=models.JSONField(default=list, help_text="Allowed image models (e.g., ['dalle3', 'hidream'])"),
),
migrations.AddField(
model_name='plan',
name='included_credits',
field=models.IntegerField(default=0, help_text='Monthly credits included', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='max_author_profiles',
field=models.IntegerField(default=5, help_text='Limit for saved writing styles', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='max_clusters',
field=models.IntegerField(default=100, help_text='Total clusters allowed (global)', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='max_images_per_task',
field=models.IntegerField(default=4, help_text='Max images per content task', validators=[MinValueValidator(1)]),
),
migrations.AddField(
model_name='plan',
name='max_industries',
field=models.IntegerField(blank=True, default=None, help_text='Optional limit for industries/sectors', null=True, validators=[MinValueValidator(1)]),
),
migrations.AddField(
model_name='plan',
name='max_keywords',
field=models.IntegerField(default=1000, help_text='Total keywords allowed (global limit)', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='max_users',
field=models.IntegerField(default=1, help_text='Total users allowed per account', validators=[MinValueValidator(1)]),
),
migrations.AddField(
model_name='plan',
name='monthly_ai_credit_limit',
field=models.IntegerField(default=500, help_text='Unified credit ceiling per month (all AI functions)', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='monthly_cluster_ai_credits',
field=models.IntegerField(default=50, help_text='AI credits allocated for clustering', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='monthly_content_ai_credits',
field=models.IntegerField(default=200, help_text='AI credit pool for content generation', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='monthly_image_ai_credits',
field=models.IntegerField(default=100, help_text='AI credit pool for image generation', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='monthly_image_count',
field=models.IntegerField(default=100, help_text='Max images per month', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='monthly_word_count_limit',
field=models.IntegerField(default=50000, help_text='Monthly word limit (for generated content)', validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='auto_credit_topup_threshold',
field=models.IntegerField(blank=True, default=None, help_text='Auto top-up trigger point (optional)', null=True, validators=[MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='auto_credit_topup_amount',
field=models.IntegerField(blank=True, default=None, help_text='How many credits to auto-buy', null=True, validators=[MinValueValidator(1)]),
),
migrations.AddField(
model_name='plan',
name='stripe_product_id',
field=models.CharField(blank=True, help_text='For Stripe plan sync', max_length=255, null=True),
),
migrations.AlterField(
model_name='plan',
name='features',
field=models.JSONField(default=list, help_text="Plan features as JSON array (e.g., ['ai_writer', 'image_gen', 'auto_publish'])"),
),
]

View File

@@ -1,26 +0,0 @@
# Generated by Django 5.2.8 on 2025-12-08 13:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0007_add_payment_method_fields'),
]
operations = [
migrations.RemoveIndex(
model_name='account',
name='auth_acc_payment_idx',
),
migrations.RemoveIndex(
model_name='subscription',
name='auth_sub_payment_idx',
),
migrations.AddField(
model_name='plan',
name='is_internal',
field=models.BooleanField(default=False, help_text='Internal-only plan (Free/Internal) - hidden from public plan listings'),
),
]

View File

@@ -0,0 +1,108 @@
# Generated by Django 5.2.8 on 2025-11-07 10:06
import django.core.validators
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0007_expand_plan_limits'),
]
operations = [
migrations.CreateModel(
name='PasswordResetToken',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('token', models.CharField(db_index=True, max_length=255, unique=True)),
('expires_at', models.DateTimeField()),
('used', models.BooleanField(default=False)),
('created_at', models.DateTimeField(auto_now_add=True)),
],
options={
'db_table': 'igny8_password_reset_tokens',
'ordering': ['-created_at'],
},
),
migrations.AlterModelOptions(
name='industry',
options={'ordering': ['name'], 'verbose_name': 'Industry', 'verbose_name_plural': 'Industries'},
),
migrations.AlterModelOptions(
name='industrysector',
options={'ordering': ['industry', 'name'], 'verbose_name': 'Industry Sector', 'verbose_name_plural': 'Industry Sectors'},
),
migrations.AlterModelOptions(
name='site',
options={'ordering': ['-created_at']},
),
migrations.AlterModelOptions(
name='siteuseraccess',
options={'verbose_name': 'Site User Access', 'verbose_name_plural': 'Site User Access'},
),
migrations.RenameIndex(
model_name='industry',
new_name='igny8_indus_slug_2f8769_idx',
old_name='igny8_indu_slug_idx',
),
migrations.RenameIndex(
model_name='industry',
new_name='igny8_indus_is_acti_146d41_idx',
old_name='igny8_indu_is_acti_idx',
),
migrations.RenameIndex(
model_name='industrysector',
new_name='igny8_indus_industr_00b524_idx',
old_name='igny8_indu_industr_idx',
),
migrations.RenameIndex(
model_name='industrysector',
new_name='igny8_indus_slug_101d63_idx',
old_name='igny8_indu_slug_1_idx',
),
migrations.RenameIndex(
model_name='sector',
new_name='igny8_secto_industr_1cf990_idx',
old_name='igny8_sect_industr_idx',
),
migrations.RenameIndex(
model_name='site',
new_name='igny8_sites_industr_66e004_idx',
old_name='igny8_site_industr_idx',
),
migrations.AlterField(
model_name='plan',
name='credits_per_month',
field=models.IntegerField(default=0, help_text='DEPRECATED: Use included_credits instead', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AlterField(
model_name='plan',
name='extra_credit_price',
field=models.DecimalField(decimal_places=2, default=0.01, help_text='Price per additional credit', max_digits=10),
),
migrations.AlterField(
model_name='plan',
name='stripe_price_id',
field=models.CharField(blank=True, help_text='Monthly price ID for Stripe', max_length=255, null=True),
),
migrations.AddField(
model_name='passwordresettoken',
name='user',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='password_reset_tokens', to=settings.AUTH_USER_MODEL),
),
migrations.AddIndex(
model_name='passwordresettoken',
index=models.Index(fields=['token'], name='igny8_passw_token_0eaf0c_idx'),
),
migrations.AddIndex(
model_name='passwordresettoken',
index=models.Index(fields=['user', 'used'], name='igny8_passw_user_id_320c02_idx'),
),
migrations.AddIndex(
model_name='passwordresettoken',
index=models.Index(fields=['expires_at'], name='igny8_passw_expires_c9aa03_idx'),
),
]

View File

@@ -1,36 +0,0 @@
# Generated manually
from django.db import migrations, models
import django.core.validators
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0008_add_plan_is_internal'),
]
operations = [
migrations.AddField(
model_name='plan',
name='annual_discount_percent',
field=models.DecimalField(
decimal_places=2,
default=15.0,
help_text='Annual subscription discount percentage (default 15%)',
max_digits=5,
validators=[
django.core.validators.MinValueValidator(0),
django.core.validators.MaxValueValidator(100)
]
),
),
migrations.AddField(
model_name='plan',
name='is_featured',
field=models.BooleanField(
default=False,
help_text='Highlight this plan as popular/recommended'
),
),
]

View File

@@ -0,0 +1,88 @@
from django.db import migrations
def forward_fix_admin_log_fk(apps, schema_editor):
if schema_editor.connection.vendor != "postgresql":
return
schema_editor.execute(
"""
ALTER TABLE django_admin_log
DROP CONSTRAINT IF EXISTS django_admin_log_user_id_c564eba6_fk_auth_user_id;
"""
)
schema_editor.execute(
"""
UPDATE django_admin_log
SET user_id = sub.new_user_id
FROM (
SELECT id AS new_user_id
FROM igny8_users
ORDER BY id
LIMIT 1
) AS sub
WHERE django_admin_log.user_id NOT IN (
SELECT id FROM igny8_users
);
"""
)
schema_editor.execute(
"""
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM pg_constraint
WHERE conname = 'django_admin_log_user_id_c564eba6_fk_igny8_users_id'
) THEN
ALTER TABLE django_admin_log
ADD CONSTRAINT django_admin_log_user_id_c564eba6_fk_igny8_users_id
FOREIGN KEY (user_id) REFERENCES igny8_users(id) DEFERRABLE INITIALLY DEFERRED;
END IF;
END $$;
"""
)
def reverse_fix_admin_log_fk(apps, schema_editor):
if schema_editor.connection.vendor != "postgresql":
return
schema_editor.execute(
"""
ALTER TABLE django_admin_log
DROP CONSTRAINT IF EXISTS django_admin_log_user_id_c564eba6_fk_igny8_users_id;
"""
)
schema_editor.execute(
"""
UPDATE django_admin_log
SET user_id = sub.old_user_id
FROM (
SELECT id AS old_user_id
FROM auth_user
ORDER BY id
LIMIT 1
) AS sub
WHERE django_admin_log.user_id NOT IN (
SELECT id FROM auth_user
);
"""
)
schema_editor.execute(
"""
ALTER TABLE django_admin_log
ADD CONSTRAINT django_admin_log_user_id_c564eba6_fk_auth_user_id
FOREIGN KEY (user_id) REFERENCES auth_user(id) DEFERRABLE INITIALLY DEFERRED;
"""
)
class Migration(migrations.Migration):
dependencies = [
("igny8_core_auth", "0008_passwordresettoken_alter_industry_options_and_more"),
]
operations = [
migrations.RunPython(forward_fix_admin_log_fk, reverse_fix_admin_log_fk),
]

View File

@@ -0,0 +1,38 @@
# Generated by Django 5.2.8 on 2025-11-07 11:34
import django.core.validators
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0009_fix_admin_log_user_fk'),
]
operations = [
migrations.CreateModel(
name='SeedKeyword',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('keyword', models.CharField(db_index=True, max_length=255)),
('volume', models.IntegerField(default=0, help_text='Search volume estimate')),
('difficulty', models.IntegerField(default=0, help_text='Keyword difficulty (0-100)', validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(100)])),
('intent', models.CharField(choices=[('informational', 'Informational'), ('navigational', 'Navigational'), ('commercial', 'Commercial'), ('transactional', 'Transactional')], default='informational', max_length=50)),
('is_active', models.BooleanField(db_index=True, default=True)),
('created_at', models.DateTimeField(auto_now_add=True)),
('updated_at', models.DateTimeField(auto_now=True)),
('industry', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='seed_keywords', to='igny8_core_auth.industry')),
('sector', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='seed_keywords', to='igny8_core_auth.industrysector')),
],
options={
'verbose_name': 'Seed Keyword',
'verbose_name_plural': 'Seed Keywords',
'db_table': 'igny8_seed_keywords',
'ordering': ['keyword'],
'indexes': [models.Index(fields=['keyword'], name='igny8_seed__keyword_efa089_idx'), models.Index(fields=['industry', 'sector'], name='igny8_seed__industr_c41841_idx'), models.Index(fields=['industry', 'sector', 'is_active'], name='igny8_seed__industr_da0030_idx'), models.Index(fields=['intent'], name='igny8_seed__intent_15020d_idx')],
'unique_together': {('keyword', 'industry', 'sector')},
},
),
]

View File

@@ -1,25 +0,0 @@
# Generated by Django 5.2.8 on 2025-12-08 22:42
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0009_add_plan_annual_discount_and_featured'),
]
operations = [
migrations.AddField(
model_name='subscription',
name='plan',
field=models.ForeignKey(blank=True, help_text='Subscription plan (tracks historical plan even if account changes plan)', null=True, on_delete=django.db.models.deletion.PROTECT, related_name='subscriptions', to='igny8_core_auth.plan'),
),
migrations.AlterField(
model_name='site',
name='industry',
field=models.ForeignKey(default=21, help_text='Industry this site belongs to (required for sector creation)', on_delete=django.db.models.deletion.PROTECT, related_name='sites', to='igny8_core_auth.industry'),
preserve_default=False,
),
]

View File

@@ -0,0 +1,29 @@
# Generated by Django 5.2.7 on 2025-11-07 11:45
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0010_add_seed_keyword'),
]
operations = [
migrations.AddField(
model_name='plan',
name='daily_image_generation_limit',
field=models.IntegerField(default=25, help_text='Max images that can be generated per day', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='max_content_ideas',
field=models.IntegerField(default=300, help_text='Total content ideas allowed (global limit)', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AlterField(
model_name='plan',
name='max_sites',
field=models.IntegerField(default=1, help_text='Maximum number of sites allowed', validators=[django.core.validators.MinValueValidator(1)]),
),
]

View File

@@ -1,17 +0,0 @@
# Generated by Django 5.2.8 on 2025-12-08 22:52
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0010_add_subscription_plan_and_require_site_industry'),
]
operations = [
migrations.RemoveField(
model_name='subscription',
name='payment_method',
),
]

View File

@@ -0,0 +1,28 @@
# Generated by Django 5.2.7 on 2025-11-07 11:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0011_add_plan_fields_and_fix_constraints'),
]
operations = [
migrations.AlterField(
model_name='plan',
name='ai_cost_per_request',
field=models.JSONField(blank=True, default=dict, help_text="Cost per request type (e.g., {'cluster': 2, 'idea': 3, 'content': 5, 'image': 1})"),
),
migrations.AlterField(
model_name='plan',
name='features',
field=models.JSONField(blank=True, default=list, help_text="Plan features as JSON array (e.g., ['ai_writer', 'image_gen', 'auto_publish'])"),
),
migrations.AlterField(
model_name='plan',
name='image_model_choices',
field=models.JSONField(blank=True, default=list, help_text="Allowed image models (e.g., ['dalle3', 'hidream'])"),
),
]

View File

@@ -1,47 +0,0 @@
# Generated migration to fix subscription constraints
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0011_remove_subscription_payment_method'),
]
operations = [
# Add unique constraint on tenant_id at database level
migrations.RunSQL(
sql="""
CREATE UNIQUE INDEX IF NOT EXISTS igny8_subscriptions_tenant_id_unique
ON igny8_subscriptions(tenant_id);
""",
reverse_sql="""
DROP INDEX IF EXISTS igny8_subscriptions_tenant_id_unique;
"""
),
# Make plan field required (non-nullable)
# First set default plan (ID 1 - Free Plan) for any null values
migrations.RunSQL(
sql="""
UPDATE igny8_subscriptions
SET plan_id = 1
WHERE plan_id IS NULL;
""",
reverse_sql=migrations.RunSQL.noop
),
# Now alter the field to be non-nullable
migrations.AlterField(
model_name='subscription',
name='plan',
field=models.ForeignKey(
on_delete=django.db.models.deletion.PROTECT,
related_name='subscriptions',
to='igny8_core_auth.plan',
help_text='Subscription plan (tracks historical plan even if account changes plan)'
),
),
]

View File

@@ -1,49 +0,0 @@
# Generated by Django 5.2.8 on 2025-12-12 11:26
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0012_fix_subscription_constraints'),
]
operations = [
migrations.AddField(
model_name='plan',
name='max_clusters',
field=models.IntegerField(default=100, help_text='Maximum AI keyword clusters allowed (hard limit)', validators=[django.core.validators.MinValueValidator(1)]),
),
migrations.AddField(
model_name='plan',
name='max_content_ideas',
field=models.IntegerField(default=300, help_text='Maximum AI content ideas per month', validators=[django.core.validators.MinValueValidator(1)]),
),
migrations.AddField(
model_name='plan',
name='max_content_words',
field=models.IntegerField(default=100000, help_text='Maximum content words per month (e.g., 100000 = 100K words)', validators=[django.core.validators.MinValueValidator(1)]),
),
migrations.AddField(
model_name='plan',
name='max_image_prompts',
field=models.IntegerField(default=300, help_text='Maximum image prompts per month', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='max_images_basic',
field=models.IntegerField(default=300, help_text='Maximum basic AI images per month', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='max_images_premium',
field=models.IntegerField(default=60, help_text='Maximum premium AI images per month (DALL-E)', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='plan',
name='max_keywords',
field=models.IntegerField(default=1000, help_text='Maximum total keywords allowed (hard limit)', validators=[django.core.validators.MinValueValidator(1)]),
),
]

View File

@@ -0,0 +1,17 @@
# Generated by Django 5.2.7 on 2025-11-07 12:01
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0012_allow_blank_json_fields'),
]
operations = [
migrations.RemoveField(
model_name='plan',
name='ai_cost_per_request',
),
]

View File

@@ -1,49 +0,0 @@
# Generated by Django 5.2.8 on 2025-12-12 12:24
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0013_plan_max_clusters_plan_max_content_ideas_and_more'),
]
operations = [
migrations.AddField(
model_name='account',
name='usage_content_ideas',
field=models.IntegerField(default=0, help_text='Content ideas generated this month', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='account',
name='usage_content_words',
field=models.IntegerField(default=0, help_text='Content words generated this month', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='account',
name='usage_image_prompts',
field=models.IntegerField(default=0, help_text='Image prompts this month', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='account',
name='usage_images_basic',
field=models.IntegerField(default=0, help_text='Basic AI images this month', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='account',
name='usage_images_premium',
field=models.IntegerField(default=0, help_text='Premium AI images this month', validators=[django.core.validators.MinValueValidator(0)]),
),
migrations.AddField(
model_name='account',
name='usage_period_end',
field=models.DateTimeField(blank=True, help_text='Current billing period end', null=True),
),
migrations.AddField(
model_name='account',
name='usage_period_start',
field=models.DateTimeField(blank=True, help_text='Current billing period start', null=True),
),
]

View File

@@ -1,24 +0,0 @@
# Generated manually
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0014_add_usage_tracking_to_account'),
]
operations = [
migrations.AddField(
model_name='plan',
name='original_price',
field=models.DecimalField(
blank=True,
decimal_places=2,
help_text='Original price (before discount) - shows as crossed out price. Leave empty if no discount.',
max_digits=10,
null=True
),
),
]

View File

@@ -1,19 +0,0 @@
# Generated by Django 5.2.9 on 2025-12-13 20:31
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0015_add_plan_original_price'),
]
operations = [
migrations.AlterField(
model_name='plan',
name='annual_discount_percent',
field=models.IntegerField(default=15, help_text='Annual subscription discount percentage (default 15%)', validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(100)]),
),
]

View File

@@ -1,66 +0,0 @@
# Generated by Django 5.2.9 on 2025-12-15 01:28
import django.core.validators
import django.db.models.deletion
import simple_history.models
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0016_alter_plan_annual_discount_percent'),
]
operations = [
migrations.CreateModel(
name='HistoricalAccount',
fields=[
('id', models.BigIntegerField(auto_created=True, blank=True, db_index=True, verbose_name='ID')),
('is_deleted', models.BooleanField(db_index=True, default=False)),
('deleted_at', models.DateTimeField(blank=True, db_index=True, null=True)),
('restore_until', models.DateTimeField(blank=True, db_index=True, null=True)),
('delete_reason', models.CharField(blank=True, max_length=255, null=True)),
('name', models.CharField(max_length=255)),
('slug', models.SlugField(max_length=255)),
('stripe_customer_id', models.CharField(blank=True, max_length=255, null=True)),
('credits', models.IntegerField(default=0, validators=[django.core.validators.MinValueValidator(0)])),
('status', models.CharField(choices=[('active', 'Active'), ('suspended', 'Suspended'), ('trial', 'Trial'), ('cancelled', 'Cancelled'), ('pending_payment', 'Pending Payment')], default='trial', max_length=20)),
('payment_method', models.CharField(choices=[('stripe', 'Stripe'), ('paypal', 'PayPal'), ('bank_transfer', 'Bank Transfer')], default='stripe', help_text='Payment method used for this account', max_length=30)),
('deletion_retention_days', models.PositiveIntegerField(default=14, help_text='Retention window (days) before soft-deleted items are purged', validators=[django.core.validators.MinValueValidator(1), django.core.validators.MaxValueValidator(365)])),
('billing_email', models.EmailField(blank=True, help_text='Email for billing notifications', max_length=254, null=True)),
('billing_address_line1', models.CharField(blank=True, help_text='Street address', max_length=255)),
('billing_address_line2', models.CharField(blank=True, help_text='Apt, suite, etc.', max_length=255)),
('billing_city', models.CharField(blank=True, max_length=100)),
('billing_state', models.CharField(blank=True, help_text='State/Province/Region', max_length=100)),
('billing_postal_code', models.CharField(blank=True, max_length=20)),
('billing_country', models.CharField(blank=True, help_text='ISO 2-letter country code', max_length=2)),
('tax_id', models.CharField(blank=True, help_text='VAT/Tax ID number', max_length=100)),
('usage_content_ideas', models.IntegerField(default=0, help_text='Content ideas generated this month', validators=[django.core.validators.MinValueValidator(0)])),
('usage_content_words', models.IntegerField(default=0, help_text='Content words generated this month', validators=[django.core.validators.MinValueValidator(0)])),
('usage_images_basic', models.IntegerField(default=0, help_text='Basic AI images this month', validators=[django.core.validators.MinValueValidator(0)])),
('usage_images_premium', models.IntegerField(default=0, help_text='Premium AI images this month', validators=[django.core.validators.MinValueValidator(0)])),
('usage_image_prompts', models.IntegerField(default=0, help_text='Image prompts this month', validators=[django.core.validators.MinValueValidator(0)])),
('usage_period_start', models.DateTimeField(blank=True, help_text='Current billing period start', null=True)),
('usage_period_end', models.DateTimeField(blank=True, help_text='Current billing period end', null=True)),
('created_at', models.DateTimeField(blank=True, editable=False)),
('updated_at', models.DateTimeField(blank=True, editable=False)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField(db_index=True)),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('deleted_by', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
('owner', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to=settings.AUTH_USER_MODEL)),
('plan', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='igny8_core_auth.plan')),
],
options={
'verbose_name': 'historical Account',
'verbose_name_plural': 'historical Accounts',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': ('history_date', 'history_id'),
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
]

View File

@@ -1,30 +0,0 @@
# Generated by Django 5.2.9 on 2025-12-17 06:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0017_add_history_tracking'),
]
operations = [
migrations.RemoveIndex(
model_name='seedkeyword',
name='igny8_seed__intent_15020d_idx',
),
migrations.RemoveField(
model_name='seedkeyword',
name='intent',
),
migrations.AddField(
model_name='seedkeyword',
name='country',
field=models.CharField(choices=[('US', 'United States'), ('CA', 'Canada'), ('GB', 'United Kingdom'), ('AE', 'United Arab Emirates'), ('AU', 'Australia'), ('IN', 'India'), ('PK', 'Pakistan')], default='US', help_text='Target country for this keyword', max_length=2),
),
migrations.AddIndex(
model_name='seedkeyword',
index=models.Index(fields=['country'], name='igny8_seed__country_4127a5_idx'),
),
]

View File

@@ -1,100 +0,0 @@
# Generated by IGNY8 Phase 1: Simplify Credits & Limits
# Migration: Remove unused limit fields, add Ahrefs query tracking
# Date: January 5, 2026
from django.db import migrations, models
import django.core.validators
class Migration(migrations.Migration):
"""
Simplify the credits and limits system:
PLAN MODEL:
- REMOVE: max_clusters, max_content_ideas, max_content_words,
max_images_basic, max_images_premium, max_image_prompts
- ADD: max_ahrefs_queries (monthly keyword research queries)
ACCOUNT MODEL:
- REMOVE: usage_content_ideas, usage_content_words, usage_images_basic,
usage_images_premium, usage_image_prompts
- ADD: usage_ahrefs_queries
RATIONALE:
All consumption is now controlled by credits only. The only non-credit
limits are: sites, users, keywords (hard limits) and ahrefs_queries (monthly).
"""
dependencies = [
('igny8_core_auth', '0018_add_country_remove_intent_seedkeyword'),
]
operations = [
# STEP 1: Add new Ahrefs fields FIRST (before removing old ones)
migrations.AddField(
model_name='plan',
name='max_ahrefs_queries',
field=models.IntegerField(
default=0,
validators=[django.core.validators.MinValueValidator(0)],
help_text='Monthly Ahrefs keyword research queries (0 = disabled)'
),
),
migrations.AddField(
model_name='account',
name='usage_ahrefs_queries',
field=models.IntegerField(
default=0,
validators=[django.core.validators.MinValueValidator(0)],
help_text='Ahrefs queries used this month'
),
),
# STEP 2: Remove unused Plan fields
migrations.RemoveField(
model_name='plan',
name='max_clusters',
),
migrations.RemoveField(
model_name='plan',
name='max_content_ideas',
),
migrations.RemoveField(
model_name='plan',
name='max_content_words',
),
migrations.RemoveField(
model_name='plan',
name='max_images_basic',
),
migrations.RemoveField(
model_name='plan',
name='max_images_premium',
),
migrations.RemoveField(
model_name='plan',
name='max_image_prompts',
),
# STEP 3: Remove unused Account fields
migrations.RemoveField(
model_name='account',
name='usage_content_ideas',
),
migrations.RemoveField(
model_name='account',
name='usage_content_words',
),
migrations.RemoveField(
model_name='account',
name='usage_images_basic',
),
migrations.RemoveField(
model_name='account',
name='usage_images_premium',
),
migrations.RemoveField(
model_name='account',
name='usage_image_prompts',
),
]

View File

@@ -1,39 +0,0 @@
# Generated by Django 5.2.9 on 2026-01-06 00:11
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('igny8_core_auth', '0019_simplify_credits_limits'),
]
operations = [
migrations.RemoveField(
model_name='historicalaccount',
name='usage_content_ideas',
),
migrations.RemoveField(
model_name='historicalaccount',
name='usage_content_words',
),
migrations.RemoveField(
model_name='historicalaccount',
name='usage_image_prompts',
),
migrations.RemoveField(
model_name='historicalaccount',
name='usage_images_basic',
),
migrations.RemoveField(
model_name='historicalaccount',
name='usage_images_premium',
),
migrations.AddField(
model_name='historicalaccount',
name='usage_ahrefs_queries',
field=models.IntegerField(default=0, help_text='Ahrefs queries used this month', validators=[django.core.validators.MinValueValidator(0)]),
),
]

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