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- Add CSRF token section to Frontend JavaScript Requirements
- Document both manual FormData and HTML form approaches
- Clarify when {% csrf_token %} is needed in templates
- Reference recent data analyzer CSRF fix
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
518 lines
18 KiB
Markdown
518 lines
18 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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NetCop Hub is a Django-based AI agent marketplace that allows users to purchase and use various AI-powered agents for tasks like social media ad generation, data analysis, weather reporting, and more. The system features a wallet-based payment system with Stripe integration and N8N webhook processing.
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### Project Structure
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```
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netcop_django/
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├── 📁 docs/ # All documentation, guides, and logs
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├── 📁 tests/ # All test files and scripts
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├── 📁 agent_base/ # Agent framework and creation tools
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├── 📁 authentication/ # User management system
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├── 📁 core/ # Main app (homepage, marketplace, wallet)
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├── 📁 wallet/ # Payment and transaction system
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├── 📁 weather_reporter/ # Example individual agent app
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│ └── templates/ # Agent-specific templates (namespaced)
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│ └── weather_reporter/
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│ └── detail.html
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├── 📁 templates/ # Global templates (core, auth)
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├── 📁 static/ # Static assets (CSS, JS, images)
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├── 📁 media/ # User-uploaded files
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├── 📁 netcop_hub/ # Django project configuration
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└── manage.py # Django management commands
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```
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## Key Architecture Components
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### Individual Agent Architecture
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The project uses a modular individual agent architecture where each agent is a separate Django app:
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- **Base Framework**: `agent_base/` provides common functionality:
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- `BaseAgent` model for agent marketplace catalog
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- `BaseAgentRequest`/`BaseAgentResponse` abstract models for tracking
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- `BaseAgentProcessor` abstract class for webhook handling
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- `BaseAgentView` abstract class for form processing and authentication
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- **Individual Agent Apps**: Each agent has its own app (`agent_social_ads/`, `agent_weather/`, etc.):
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- Custom models extending base classes
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- Specialized processors for webhook communication
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- Individual views and URL routing
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- Separate templates and static files
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### Webhook Processing System
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All agents communicate with external AI services via N8N webhooks:
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- Processors handle data preparation, request/response processing
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- Webhook URLs configured via environment variables
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- Built-in error handling and timeout management
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- Processing time tracking and logging
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### User Authentication & Wallet System
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- Custom User model with wallet balance functionality
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- Stripe integration for payments (`wallet/stripe_handler.py`)
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- Transaction tracking via `WalletTransaction` model
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- **IMPORTANT**: Wallet deduction happens ONLY after successful processing (not before)
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- Real-time balance updates in frontend after successful agent execution
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## Essential Commands
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### Development Setup
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```bash
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# Create and activate virtual environment
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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# Install dependencies (no requirements.txt - manual installation needed)
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pip install django djangorestframework python-decouple stripe requests
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# Database setup
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python manage.py makemigrations
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python manage.py migrate
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# Create superuser
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python manage.py createsuperuser
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# Populate agents catalog
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python manage.py populate_base_agents
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```
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### Running the Application
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```bash
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# Start development server
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python manage.py runserver
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# Run with specific settings
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python manage.py runserver --settings=netcop_hub.settings
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```
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### Database Management
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```bash
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# Create new migrations
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python manage.py makemigrations [app_name]
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# Apply migrations
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python manage.py migrate
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# Reset database (if needed)
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python manage.py flush
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# Django shell
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python manage.py shell
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```
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### Testing
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```bash
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# Run all tests
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python manage.py test
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# Run specific app tests
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python manage.py test agent_social_ads
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# Run with verbosity
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python manage.py test --verbosity=2
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```
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## Environment Configuration
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The project uses python-decouple for environment management. Key variables in `.env`:
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### Required Settings
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- `SECRET_KEY`: Django secret key
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- `DEBUG`: Development mode flag
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- `ALLOWED_HOSTS`: Comma-separated host list
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- `DATABASE_URL`: PostgreSQL connection string (uses SQLite by default)
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### Webhook Configuration
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Each agent requires webhook URLs in format:
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- `N8N_WEBHOOK_[AGENT_NAME]`: Django backend webhook URL
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- `NEXT_PUBLIC_N8N_WEBHOOK_[AGENT_NAME]`: Frontend webhook URL
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### Payment Integration
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- `STRIPE_SECRET_KEY`: Stripe API secret key
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- `STRIPE_WEBHOOK_SECRET`: Stripe webhook signing secret
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- `NEXT_PUBLIC_STRIPE_PUBLISHABLE_KEY`: Stripe publishable key
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## Agent Creation System (Automated)
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### Automated Agent Creation Command (✅ FULLY FUNCTIONAL)
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The project features a sophisticated automated agent creation system via the `create_agent` management command with complete Django template generation:
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```bash
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# Create webhook-based agent (N8N integration)
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python manage.py create_agent "Agent Name" "agent-slug" webhook \
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--category utilities --price 2.5 \
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--webhook-url "https://webhook.url" --agent-id "123"
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# Create API-based agent (Direct API integration)
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python manage.py create_agent "Weather Reporter" "weather-reporter" api \
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--category utilities --price 2.5 \
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--api-base-url "https://api.openweathermap.org/data/2.5/weather" \
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--api-key-env "OPENWEATHER_API_KEY" --auth-method query
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```
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### Agent Creation System Architecture
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#### Core Framework (agent_base app)
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- **BaseAgent Model**: Database catalog for agent marketplace
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- **BaseAgentRequest/BaseAgentResponse**: Abstract models for tracking requests
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- **StandardWebhookProcessor**: Handles N8N webhook integrations with message payload format
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- **StandardAPIProcessor**: Handles direct API calls with flexible authentication methods
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- **WebhookFormatDetector**: Utility to test and detect webhook formats
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#### Template-Based Code Generation (✅ COMPLETE)
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The system uses Django templates in `agent_base/templates/agent_generator/` to generate complete agent apps:
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**Available Template Files:**
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- `api_models.py` / `webhook_models.py`: Database models with custom fields
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- `api_processor.py` / `webhook_processor.py` / `weather_api_processor.py`: Processor classes
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- `views.py`: Django views with authentication and wallet integration
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- `urls.py`: URL routing patterns with proper namespacing
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- `admin.py`: Django admin configuration
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- `apps.py`: Django app configuration
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- `__init__.py`: App initialization
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#### Supported Agent Types
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**1. Webhook Agents (N8N Integration)**
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- Uses `StandardWebhookProcessor` base class
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- Message-based payload format: `{'message': {'text': 'content'}, 'sessionId': '...', 'userId': '...', 'agentId': '...'}`
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- Automatic error handling and retry logic
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- Processing time tracking
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**2. API Agents (Direct Integration)**
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- Uses `StandardAPIProcessor` base class
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- Multiple authentication methods: bearer, api-key, basic, query
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- GET/POST request support
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- Response parsing and formatting
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#### Example Agents (Production Ready)
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**Data Analysis Agent** (Price: 5.00 AED):
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- **N8N Integration**: PDF analysis webhook processor
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- **File Upload**: PDF-only with binary multipart upload
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- **Real-time Results**: AJAX display with wallet balance updates
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- **Features**: Summary/Detailed/Statistical analysis types
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**Weather Reporter Agent** (Price: 2.00 AED):
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- **API Integration**: OpenWeatherMap API with direct calls
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- **Custom Fields**: location, report_type, temperature, humidity, wind_speed
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- **Formatted Reports**: Both current and detailed weather reports
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- **Real-time Results**: Dynamic display below form
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- **Error Handling**: API failures and invalid locations
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### Management Commands
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#### create_agent (✅ READY TO USE)
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Generates complete agent apps with:
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- Database models and migrations
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- Processor classes (API/webhook/weather-specific)
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- Django views with authentication and wallet integration
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- URL routing with proper namespacing
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- Admin interface with list views
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- Custom field definitions based on agent type
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- Simplified template structure: `agent_name/templates/detail.html`
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```bash
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python manage.py create_agent --help
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# Examples:
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python manage.py create_agent "PDF Analyzer" "pdf-analyzer" api --price 5.0
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python manage.py create_agent "Social Media Generator" "social-generator" webhook --price 3.0
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```
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#### test_webhook
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Tests webhook endpoints to determine compatible formats:
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```bash
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# Test all formats
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python manage.py test_webhook https://webhook.url
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# Detect best format only
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python manage.py test_webhook https://webhook.url --detect-best
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```
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### Manual Agent Creation (Legacy)
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For custom agents requiring manual setup:
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#### Step 1: Create Django App
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```bash
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python manage.py startapp agent_[name]
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```
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#### Step 2: Define Models
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Extend `BaseAgentRequest` and `BaseAgentResponse` in `models.py`:
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```python
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from agent_base.models import BaseAgentRequest, BaseAgentResponse
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class MyAgentRequest(BaseAgentRequest):
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# Add agent-specific fields
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input_text = models.TextField()
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class MyAgentResponse(BaseAgentResponse):
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request = models.OneToOneField(MyAgentRequest, on_delete=models.CASCADE, related_name='response')
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output_text = models.TextField(blank=True)
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```
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#### Step 3: Create Processor
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Choose between webhook or API processor:
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**Webhook Processor:**
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```python
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from agent_base.processors import StandardWebhookProcessor
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class MyAgentProcessor(StandardWebhookProcessor):
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agent_slug = 'my-agent'
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webhook_url = settings.N8N_WEBHOOK_MY_AGENT
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agent_id = '123'
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def prepare_message_text(self, **kwargs):
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return f"Process: {kwargs.get('input_text')}"
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```
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**API Processor:**
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```python
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from agent_base.processors import StandardAPIProcessor
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class MyAgentProcessor(StandardAPIProcessor):
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agent_slug = 'my-agent'
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api_base_url = 'https://api.example.com/v1/process'
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api_key_env = 'MY_API_KEY'
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auth_method = 'bearer'
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def prepare_request_data(self, **kwargs):
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return {'text': kwargs.get('input_text')}
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```
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#### Step 4: Add to Configuration
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- Add app to `INSTALLED_APPS` in `settings.py`
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- Add URL routing in `netcop_hub/urls.py`
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- Run migrations: `python manage.py makemigrations && python manage.py migrate`
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- Create BaseAgent entry in database
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## Database Models Relationships
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### Core Models
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- `User` (authentication): Custom user with wallet functionality
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- `BaseAgent` (agent_base): Agent catalog/marketplace entries
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- `WalletTransaction` (wallet): Payment and usage tracking
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### Agent-Specific Models
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Each agent app has:
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- `[Agent]Request`: Inherits from `BaseAgentRequest`, tracks user requests
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- `[Agent]Response`: Inherits from `BaseAgentResponse`, stores AI responses
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### Key Relationships
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- `User` 1:N `BaseAgentRequest` (user can make multiple requests)
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- `BaseAgent` 1:N `BaseAgentRequest` (agent can have multiple requests)
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- `BaseAgentRequest` 1:1 `BaseAgentResponse` (each request has one response)
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- `User` 1:N `WalletTransaction` (user has transaction history)
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## URL Structure
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```
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/ # Homepage (core app)
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/auth/login/ # Authentication
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/auth/register/ # User registration
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/agents/[agent-slug]/ # Individual agent pages
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/admin/ # Django admin
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```
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## Template Organization
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Templates follow clean Django app structure:
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- `templates/core/`: Homepage, marketplace, wallet (global templates)
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- `templates/authentication/`: Login, registration (global templates)
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- `[agent_name]/templates/[agent_name]/`: Individual agent templates within their respective apps (namespaced)
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- `docs/`: All documentation and guides
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- `tests/`: All test files
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## Common Development Patterns
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### Adding New Agent Fields
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1. Add fields to agent request/response models
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2. Update processor's `prepare_request_data()` method
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3. Modify view's `process_request()` method
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4. Update templates to include new fields
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### Debugging Webhook Issues
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1. Check webhook URL in `.env` file
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2. Examine processor logs in console output
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3. Verify JSON payload format in `prepare_request_data()`
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4. Test webhook independently with tools like Postman
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### Managing Agent Pricing
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1. Update price in `populate_base_agents.py`
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2. Run `python manage.py populate_base_agents` to update database
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3. Pricing is enforced in `BaseAgentView.post()` method
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## 💰 Wallet Management Best Practices (CRITICAL)
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### ✅ CORRECT Wallet Deduction Pattern
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**ALWAYS deduct wallet balance ONLY after successful processing, not before!**
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#### View Layer (NO wallet deduction):
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```python
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# ❌ NEVER do this in views.py:
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# request.user.deduct_balance(agent.price, description, agent_slug)
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# ✅ CORRECT: Only check balance, create request object
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if not request.user.has_sufficient_balance(agent.price):
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return JsonResponse({'error': 'Insufficient wallet balance'}, status=400)
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agent_request = MyAgentRequest.objects.create(
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user=request.user,
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agent=agent,
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cost=agent.price,
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# ... other fields
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)
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# Process request via processor
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processor = MyAgentProcessor()
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result = processor.process_request(request_obj=agent_request, ...)
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# Return response with updated wallet balance
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request.user.refresh_from_db()
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return JsonResponse({
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'success': True,
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'request_id': str(agent_request.id),
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'wallet_balance': float(request.user.wallet_balance) # Real-time balance
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})
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```
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#### Processor Layer (wallet deduction after success):
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```python
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def process_response(self, response_data, request_obj):
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try:
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# ... process response and determine success
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success = response_data.get('status') == 'success' and bool(analysis_text)
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# Create response object
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response_obj = MyAgentResponse.objects.create(
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request=request_obj,
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success=success,
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# ... other fields
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)
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# ✅ ONLY deduct wallet after successful processing
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if success:
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request_obj.user.deduct_balance(
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request_obj.cost,
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f"Agent Name - {description}",
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'agent-slug'
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)
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print(f"Wallet deducted {request_obj.cost} AED for successful processing")
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request_obj.status = 'completed' if success else 'failed'
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request_obj.save()
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return response_obj
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except Exception as e:
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# ✅ On error: NO wallet deduction, request marked as failed
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request_obj.status = 'failed'
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request_obj.save()
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raise
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```
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#### Frontend JavaScript (real-time balance updates):
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```javascript
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// Update wallet balance after successful processing
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if (result.success && result.status === 'completed') {
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// Update wallet balance display
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if (result.wallet_balance !== undefined) {
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updateWalletBalance(result.wallet_balance);
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}
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showToast('✅ Analysis completed and payment processed!', 'success');
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} else if (result.status === 'failed') {
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showToast('❌ Analysis failed - no charge applied', 'error');
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}
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function updateWalletBalance(newBalance) {
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// Update all wallet displays in real-time
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document.querySelectorAll('[data-wallet-balance]').forEach(element => {
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element.textContent = `${newBalance.toFixed(2)} AED`;
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});
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window.currentWalletBalance = newBalance;
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}
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```
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### 🔥 Critical Wallet Rules
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1. **NEVER** deduct wallet in views.py before processing
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2. **ALWAYS** deduct wallet in processor ONLY after `success=True`
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3. **ALWAYS** return updated `wallet_balance` in JSON responses
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4. **ALWAYS** update frontend wallet display in real-time
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5. **ALWAYS** show clear user feedback: "payment processed" vs "no charge applied"
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### Wallet Flow Summary
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```
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1. User uploads/submits → NO charge yet ✅
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2. Create request object → NO charge yet ✅
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3. Start processing → NO charge yet ✅
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4. Processing succeeds → CHARGE NOW ✅
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5. Update frontend → Show new balance ✅
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6. If any step fails → NO charge at all ✅
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```
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This ensures users never lose money for failed processing while maintaining simple, efficient code.
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## Current Architecture (Clean & Modern)
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The project uses a clean, modular individual agent architecture:
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### Current System Features
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- **Individual agent apps**: Each agent is a separate Django app (`weather_reporter/`, etc.)
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- **Clean template organization**: Templates live within their respective agent apps
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- **Organized project structure**: Documentation in `docs/`, tests in `tests/`, clean root directory
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- **BaseAgent catalog system**: Centralized marketplace with individual agent implementations
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- **Modular processors**: Each agent has its own processor for API/webhook integration
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- **App-specific templates**: `agent_name/templates/agent_name/detail.html` (namespaced to prevent conflicts)
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### Best Practices
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#### Agent Development Standards
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- **Individual App Architecture**: Each agent is a separate Django app
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- **Template Organization**: Place templates within agent app (`agent_name/templates/agent_name/`)
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- **Automated Creation**: Use `create_agent` command for initial setup
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- **Clean Structure**: Keep root directory organized with `docs/` and `tests/` folders
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#### Modern Agent Features (Required)
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- **Real-time Results Display**: Use AJAX to show results below form without page reload
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- **Wallet Balance Updates**: Update balance displays immediately after successful processing
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- **Data Attributes**: Add `data-wallet-balance` to all balance elements for easy targeting
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- **Continuous Workflow**: Allow multiple requests without page refresh ("Get Another" functionality)
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- **Clear User Feedback**: Show "payment processed" vs "no charge applied" messages
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#### Frontend JavaScript Requirements
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```javascript
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// Required functions for all agents:
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- updateWalletBalance(newBalance) // Updates all balance displays
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- displayResults(result) // Shows results below form
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- pollForResults(requestId) // Checks processing status
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- resetForm() // Prepares for next request
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```
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#### CSRF Token Requirements
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All agent templates that use JavaScript form submission must include:
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```html
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<!-- Required: Add CSRF token to template -->
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{% csrf_token %}
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```
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For manual FormData submission (like data analyzer), access token via:
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```javascript
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// For templates with {% csrf_token %} tag
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|
formData.append('csrfmiddlewaretoken', document.querySelector('[name=csrfmiddlewaretoken]').value);
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|
|
|
// For HTML forms with {% csrf_token %} inside form
|
|
const formData = new FormData(this); // 'this' refers to form element - automatically includes CSRF
|
|
```
|
|
|
|
#### Template Requirements
|
|
```html
|
|
<!-- Required data attributes for wallet balance -->
|
|
<span data-wallet-balance>{{ user.wallet_balance|floatformat:2 }} AED</span>
|
|
<div data-wallet-balance>{{ user.wallet_balance|floatformat:2 }} AED</div>
|
|
``` |