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✨ Add SWOT Analysis Expert + streamline agent creation process
- Add SWOT Analysis Expert direct access agent (free, JotForm integration) - Use existing 'analysis' category instead of creating new category - Remove 10+ redundant create_* management commands for cleaner codebase - Update CLAUDE.md with simplified JSON + populate_agents workflow - Emphasize using existing categories to avoid proliferation - Clean up agent creation architecture for Railway scalability - All agents now follow unified JSON config approach 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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CLAUDE.md
378
CLAUDE.md
@ -213,277 +213,189 @@ The platform supports both webhook-based agents (N8N integration) and direct acc
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## Adding New Agents
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**CRITICAL**: The platform has **TWO DISTINCT AGENT SYSTEMS**. Choose the correct system based on your requirements.
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**⚡ RECOMMENDED APPROACH:** Use JSON configuration + `populate_agents` command for error-free, Railway-ready agent creation.
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### **System 1: Webhook Agents (N8N Integration)**
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### **🏷️ Choose Existing Category First**
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**Use for:** Dynamic forms, server-side processing, file uploads, complex workflows
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**Examples:** Social Ads Generator, PDF Summarizer, Job Posting Generator
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**IMPORTANT:** Always use existing categories before creating new ones to avoid category proliferation.
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**Flow:** Marketplace → Agent detail page → Dynamic form → N8N webhook → Results
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**Available Categories:**
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- 🧠 **`analysis`** - Problem-solving, SWOT analysis, strategic analysis tools
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- 🎓 **`career-education`** - Career guidance, educational resources, professional development
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- 📄 **`document-processing`** - PDF analysis, file processing, document tools
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- 💼 **`human-resources`** - Job postings, HR automation, talent management
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- 📢 **`marketing`** - Social ads, branding, content marketing, advertising
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- 💼 **`consulting`** - Business consultation, strategy services, expert advice
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**Implementation Steps:**
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1. **Create management command** (e.g., `create_content_optimizer.py`):
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```python
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from django.core.management.base import BaseCommand
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from agents.models import AgentCategory, Agent
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**Only create new categories when absolutely necessary and logically distinct.**
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class Command(BaseCommand):
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def handle(self, *args, **options):
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category, _ = AgentCategory.objects.get_or_create(
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slug='content-tools',
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defaults={'name': 'Content Tools', 'icon': '📝'}
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)
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---
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Agent.objects.get_or_create(
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slug='content-optimizer',
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defaults={
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'name': 'Content Optimizer',
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'short_description': 'AI-powered content optimization',
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'description': 'Enhance your content for better engagement',
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'category': category,
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'price': 5.0,
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'agent_type': 'form',
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'form_schema': {
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'fields': [
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{
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'name': 'content',
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'type': 'textarea',
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'label': 'Content to Optimize',
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'required': True
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},
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{
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'name': 'content_type',
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'type': 'select',
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'label': 'Content Type',
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'required': True,
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'options': [
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{'value': 'blog', 'label': 'Blog Post'},
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{'value': 'social', 'label': 'Social Media'}
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]
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}
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]
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},
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'webhook_url': 'http://localhost:5678/webhook/content-optimizer',
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'access_url_name': '', # Empty for webhook agents
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'display_url_name': '' # Empty for webhook agents
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}
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)
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### **🚀 Agent Creation Workflow**
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The platform has **TWO DISTINCT AGENT SYSTEMS**:
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#### **System 1: Webhook Agents (N8N Integration)**
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- **Use for:** Dynamic forms, server-side processing, file uploads, complex workflows
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- **Examples:** Social Ads Generator, PDF Summarizer, Job Posting Generator
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- **Flow:** Marketplace → Agent detail page → Dynamic form → N8N webhook → Results
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#### **System 2: Direct Access Agents (External Forms)**
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- **Use for:** External form services (JotForm, Google Forms), consultation interfaces
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- **Examples:** SWOT Analysis Expert, CyberSec Career Navigator, AI Brand Strategist
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- **Flow:** Marketplace → Payment processing → Quantum Tasks header + embedded external form
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---
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### **📝 Implementation Steps (All Agent Types)**
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#### **Step 1: Create JSON Configuration**
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Create a new file in `agents/configs/agents/your-agent-name.json`:
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**Webhook Agent Example:**
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```json
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{
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"slug": "content-optimizer",
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"name": "Content Optimizer",
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"short_description": "AI-powered content optimization and enhancement",
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"description": "Enhance your content for better engagement with AI-powered optimization suggestions, tone analysis, and improvement recommendations.",
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"category": "marketing",
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"price": 5.0,
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"agent_type": "form",
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"system_type": "webhook",
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"form_schema": {
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"fields": [
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{
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"name": "content",
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"type": "textarea",
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"label": "Content to Optimize",
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"required": true
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},
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{
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"name": "content_type",
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"type": "select",
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"label": "Content Type",
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"required": true,
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"options": [
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{"value": "blog", "label": "Blog Post"},
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{"value": "social", "label": "Social Media"},
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{"value": "email", "label": "Email Marketing"}
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]
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}
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]
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},
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"webhook_url": "http://localhost:5678/webhook/content-optimizer",
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"access_url_name": "",
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"display_url_name": ""
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}
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```
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2. **Run command**: `python manage.py create_content_optimizer`
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3. **Create N8N workflow** at the webhook URL
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4. **Agent automatically appears** in marketplace with dynamic form
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### **System 2: Direct Access Agents (Embedded External Forms)**
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**Use for:** External form services (JotForm, Google Forms), consultation interfaces, embedded tools
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**Examples:** CyberSec Career Navigator, AI Brand Strategist
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**Flow:** Marketplace → Payment processing → Quantum Tasks header + embedded external form
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**Implementation Steps:**
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1. **Create management command** (e.g., `create_business_consultant.py`):
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```python
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from django.core.management.base import BaseCommand
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from agents.models import AgentCategory, Agent
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class Command(BaseCommand):
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def handle(self, *args, **options):
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category, _ = AgentCategory.objects.get_or_create(
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slug='consulting',
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defaults={'name': 'Business Consulting', 'icon': '💼'}
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)
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Agent.objects.get_or_create(
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slug='business-consultant',
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defaults={
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'name': 'Business Consultant',
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'short_description': 'Expert business consultation',
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'description': 'Get professional business advice and strategy',
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'category': category,
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'price': 0.0,
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'agent_type': 'form',
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'form_schema': {'fields': []}, # Empty - using external form
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'webhook_url': 'https://form.jotform.com/your-form-id',
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'access_url_name': 'agents:direct_access_handler',
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'display_url_name': 'agents:direct_access_display'
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}
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)
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**Direct Access Agent Example:**
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```json
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{
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"slug": "business-strategist",
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"name": "Business Strategist",
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"short_description": "Expert business strategy consultation",
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"description": "Get professional business strategy insights and recommendations from experienced consultants to grow your business effectively.",
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"category": "consulting",
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"price": 0.0,
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"agent_type": "form",
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"system_type": "direct_access",
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"form_schema": {
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"fields": []
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},
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"webhook_url": "https://agent.jotform.com/your-form-id",
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"access_url_name": "agents:direct_access_handler",
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"display_url_name": "agents:direct_access_display"
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}
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```
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2. **Create dedicated template** (`templates/business_consultant.html`):
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#### **Step 2: Run populate_agents Command**
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```bash
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# Development
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source venv/bin/activate
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python manage.py populate_agents
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# Production (Railway)
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python manage.py populate_agents # Runs automatically on deployment
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```
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#### **Step 3: Additional Setup (Direct Access Agents Only)**
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For direct access agents that need custom templates or marketplace integration:
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**3a. Create Custom Template** (optional):
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```html
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<!-- templates/your_agent_name.html -->
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{% extends 'base.html' %}
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{% load static %}
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{% block title %}Business Consultant - Quantum Tasks AI{% endblock %}
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{% block title %}Your Agent Name - Quantum Tasks AI{% endblock %}
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{% block extra_css %}
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<style>
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.main-container {
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max-width: none;
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padding: 0;
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height: calc(100vh - 80px);
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}
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.iframe-container {
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width: 100%;
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height: 100%;
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}
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.iframe-container iframe {
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width: 100%;
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height: 100%;
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border: none;
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display: block;
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}
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.footer {
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display: none !important;
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}
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.main-container { max-width: none; padding: 0; height: calc(100vh - 80px); }
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.iframe-container { width: 100%; height: 100%; }
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.iframe-container iframe { width: 100%; height: 100%; border: none; display: block; }
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.footer { display: none !important; }
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</style>
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{% endblock %}
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{% block content %}
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<div class="iframe-container">
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<iframe
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src="{{ form_url }}"
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frameborder="0"
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scrolling="auto"
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title="Business Consultant">
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</iframe>
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<iframe src="{{ form_url }}" frameborder="0" scrolling="auto" title="Your Agent Name"></iframe>
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</div>
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{% endblock %}
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```
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3. **Add dedicated view functions** (in `agents/views.py`):
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```python
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def business_consultant_view(request):
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"""Display the Business Consultant form page"""
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if not request.user.is_authenticated:
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storage = messages.get_messages(request)
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storage.used = True
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messages.error(request, 'Please login to access the Business Consultant.')
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return redirect('authentication:login')
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**3b. Add Custom Views** (if needed):
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Add view functions to `agents/views.py` following the pattern of existing direct access agents.
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try:
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agent = Agent.objects.get(slug='business-consultant', is_active=True)
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except Agent.DoesNotExist:
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messages.error(request, 'Business Consultant is currently unavailable.')
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return redirect('agents:marketplace')
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**3c. Add URL Routes** (if needed):
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Add routes to `agents/urls.py` following the pattern of existing direct access agents.
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from django.utils import timezone
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from datetime import timedelta
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**3d. Update Marketplace Template** (if needed):
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Add button logic to `agents/templates/agents/marketplace.html` for custom marketplace behavior.
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recent_execution = AgentExecution.objects.filter(
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agent=agent,
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user=request.user,
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status='completed',
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created_at__gte=timezone.now() - timedelta(hours=2)
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).first()
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#### **Step 4: Setup External Services**
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if not recent_execution:
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messages.info(request, 'Please click "Try Now" to access your Business Consultant.')
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return redirect('agents:marketplace')
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**For Webhook Agents:**
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- Create N8N workflow at the webhook URL
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- Configure webhook to accept JSON payload with `sessionId`, `message`, etc.
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context = {
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'agent': agent,
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'form_url': agent.webhook_url,
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'user_balance': request.user.wallet_balance,
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'execution': recent_execution
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}
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**For Direct Access Agents:**
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- Create external form (JotForm, Google Forms, etc.)
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- Ensure form URL is accessible and properly configured
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return render(request, 'business_consultant.html', context)
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---
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def business_consultant_access(request):
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"""Handle Try Now button click - charge wallet and redirect to form"""
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if not request.user.is_authenticated:
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storage = messages.get_messages(request)
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storage.used = True
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messages.error(request, 'Please login to access the Business Consultant.')
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return redirect('authentication:login')
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### **✅ Benefits of This Approach**
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try:
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agent = Agent.objects.get(slug='business-consultant', is_active=True)
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except Agent.DoesNotExist:
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messages.error(request, 'Business Consultant is currently unavailable.')
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return redirect('agents:marketplace')
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- ✅ **Single source of truth** - JSON configs define everything
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- ✅ **Railway-ready immediately** - No manual database setup needed
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- ✅ **Error-free** - No category creation mistakes or typos
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- ✅ **Consistent** - All agents use same reliable creation process
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- ✅ **Scalable** - Easy to add 100+ agents
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- ✅ **Version controlled** - Configs are tracked in git
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if not request.user.has_sufficient_balance(agent.price):
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messages.error(request, f'Insufficient balance! You need {agent.price} AED.')
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return redirect('wallet:wallet')
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### **🔧 Supported Form Field Types (Webhook Agents)**
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success = request.user.deduct_balance(
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agent.price,
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f'{agent.name} - Direct Access',
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agent.slug
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)
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- `text` - Single-line text input
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- `textarea` - Multi-line text input
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- `select` - Dropdown with options array
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- `file` - File upload with drag-and-drop
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- `url` - URL input with validation
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- `checkbox` - Boolean checkbox
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if not success:
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messages.error(request, 'Failed to process payment. Please try again.')
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return redirect('agents:marketplace')
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### **⚠️ Common Mistakes to Avoid**
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AgentExecution.objects.create(
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agent=agent,
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user=request.user,
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input_data={'action': 'direct_access', 'source': 'try_now_button'},
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fee_charged=agent.price,
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status='completed',
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output_data={
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'type': 'direct_access',
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'message': f'Direct access granted to {agent.name}',
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'access_method': 'try_now_button'
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},
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completed_at=timezone.now()
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)
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messages.success(request, f'Welcome to your {agent.name} consultation.')
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return redirect('agents:business_consultant')
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```
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4. **Add URL routes** (in `agents/urls.py`):
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```python
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# Add to direct access routes section
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path('business-consultant/', views.business_consultant_view, name='business_consultant'),
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path('business-consultant/access/', views.business_consultant_access, name='business_consultant_access'),
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```
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5. **Update marketplace template** (in `agents/templates/agents/marketplace.html`):
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```html
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# Add to marketplace button logic
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{% elif agent.slug == 'business-consultant' %}
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<a href="{% url 'agents:business_consultant_access' %}" class="try-btn">
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💼 Try Now →
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</a>
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```
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6. **Run command**: `python manage.py create_business_consultant`
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7. **Create external form** (JotForm, Google Forms, etc.)
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8. **Agent appears** in marketplace with embedded form interface
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### **Key Differences Summary:**
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| Aspect | Webhook Agents | Direct Access Agents |
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|--------|----------------|---------------------|
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| **Form Processing** | Server-side (Django + N8N) | External service (JotForm) |
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| **Form Display** | Dynamic Django forms | Embedded external forms |
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| **Results** | Displayed in Quantum Tasks | Handled by external service |
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| **Templates** | Uses generic `agent_detail.html` | Requires dedicated template |
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| **View Functions** | Uses generic `agent_detail_view` | Requires dedicated view functions |
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| **URL Routes** | Uses generic `/{slug}/` | Requires dedicated routes |
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| **Marketplace Integration** | Automatic | Requires template updates |
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### **Supported Form Field Types (Webhook Agents Only):**
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- `text`: Single-line text input
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- `textarea`: Multi-line text input
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- `select`: Dropdown with options array
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- `file`: File upload with drag-and-drop
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- `url`: URL input with validation
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- `checkbox`: Boolean checkbox
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### **Common Mistakes to Avoid:**
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1. **Don't mix systems** - webhook agents should have empty `access_url_name` fields
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2. **Don't forget marketplace updates** - direct access agents need template updates
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3. **Don't skip dedicated templates** - direct access agents need their own HTML files
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4. **Don't use generic routes** - direct access agents need dedicated URL patterns
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1. **Creating unnecessary categories** - Use existing ones first
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2. **Missing system_type** - Include "webhook" or "direct_access"
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3. **Wrong access_url_name** - Empty for webhook agents, populated for direct access
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4. **Forgetting populate_agents** - Run after creating JSON config
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5. **Complex custom commands** - Use JSON + populate_agents instead
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## Production Deployment
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|
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16
agents/configs/agents/swot-analysis-expert.json
Normal file
16
agents/configs/agents/swot-analysis-expert.json
Normal file
@ -0,0 +1,16 @@
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{
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"slug": "swot-analysis-expert",
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"name": "SWOT Analysis Expert",
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"short_description": "Strategic business analysis consultation",
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"description": "Get expert SWOT analysis to evaluate your business strengths, weaknesses, opportunities, and threats with professional strategic insights.",
|
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"category": "analysis",
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"price": 0.0,
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"agent_type": "form",
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"system_type": "direct_access",
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"form_schema": {
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"fields": []
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},
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"webhook_url": "https://agent.jotform.com/019880edcf997a41a2b4c50daa850a50a0b9",
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"access_url_name": "agents:direct_access_handler",
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"display_url_name": "agents:direct_access_display"
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}
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@ -1,60 +0,0 @@
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from django.core.management.base import BaseCommand
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from agents.models import AgentCategory, Agent
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|
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class Command(BaseCommand):
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help = 'Create AI Brand Strategist agent with JotForm integration'
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|
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def handle(self, *args, **options):
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# Create Marketing & Advertising category
|
||||
marketing_category, created = AgentCategory.objects.get_or_create(
|
||||
slug='marketing',
|
||||
defaults={
|
||||
'name': 'Marketing & Advertising',
|
||||
'description': 'AI-powered marketing tools and advertising solutions',
|
||||
'icon': '📢'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created category: {marketing_category.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Category already exists: {marketing_category.name}')
|
||||
|
||||
# Create AI Brand Strategist agent
|
||||
brand_agent, created = Agent.objects.get_or_create(
|
||||
slug='ai-brand-strategist',
|
||||
defaults={
|
||||
'name': 'AI Brand Strategist',
|
||||
'short_description': 'Get AI-powered brand strategy insights and recommendations for your business',
|
||||
'description': 'Transform your brand with AI-driven strategic insights. Our AI Brand Strategist analyzes your business goals, target audience, and market positioning to provide comprehensive brand strategy recommendations. Get expert guidance on brand positioning, messaging, visual identity, and competitive differentiation to elevate your brand presence.',
|
||||
'category': marketing_category,
|
||||
'price': 0.0,
|
||||
'agent_type': 'form',
|
||||
'form_schema': {
|
||||
'fields': [] # Empty since we're using JotForm directly
|
||||
},
|
||||
'webhook_url': 'https://agent.jotform.com/01986502acd276b48e3d5f39337046c8d9b6',
|
||||
'access_url_name': 'agents:direct_access_handler',
|
||||
'display_url_name': 'agents:direct_access_display'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created agent: {brand_agent.name}'))
|
||||
self.stdout.write(f' 📝 Description: {brand_agent.short_description}')
|
||||
self.stdout.write(f' 💰 Price: {brand_agent.price} AED')
|
||||
self.stdout.write(f' 🔗 JotForm URL: {brand_agent.webhook_url}')
|
||||
self.stdout.write(f' 📂 Category: {brand_agent.category.name}')
|
||||
else:
|
||||
self.stdout.write(f'Agent already exists: {brand_agent.name}')
|
||||
|
||||
self.stdout.write('')
|
||||
self.stdout.write(self.style.SUCCESS('✅ AI Brand Strategist setup completed successfully'))
|
||||
self.stdout.write('')
|
||||
self.stdout.write('🚀 Next steps:')
|
||||
self.stdout.write(' 1. Agent will appear in the Marketing & Advertising category')
|
||||
self.stdout.write(' 2. Users get free access to JotForm brand strategy consultation')
|
||||
self.stdout.write(' 3. Visit /agents/ai-brand-strategist/ to test the interface')
|
||||
self.stdout.write('')
|
||||
self.stdout.write(f'Agent ID: {brand_agent.id}')
|
||||
self.stdout.write(f'Agent Slug: {brand_agent.slug}')
|
||||
@ -1,60 +0,0 @@
|
||||
from django.core.management.base import BaseCommand
|
||||
from agents.models import AgentCategory, Agent
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = 'Create CyberSec Career Navigator agent with JotForm integration'
|
||||
|
||||
def handle(self, *args, **options):
|
||||
# Create Career & Education category
|
||||
career_category, created = AgentCategory.objects.get_or_create(
|
||||
slug='career-education',
|
||||
defaults={
|
||||
'name': 'Career & Education',
|
||||
'description': 'Professional career guidance and educational resources',
|
||||
'icon': '🎓'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created category: {career_category.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Category already exists: {career_category.name}')
|
||||
|
||||
# Create CyberSec Career Navigator agent
|
||||
cybersec_agent, created = Agent.objects.get_or_create(
|
||||
slug='cybersec-career-navigator',
|
||||
defaults={
|
||||
'name': 'CyberSec Career Navigator',
|
||||
'short_description': 'Get personalized cybersecurity career guidance from AI expert Jessica',
|
||||
'description': 'Navigate your cybersecurity career path with expert AI guidance. Whether you\'re starting out, changing careers, or advancing in cybersecurity, get personalized advice on certifications, job roles, skills development, and career progression. Jessica, your AI career consultant, provides tailored recommendations based on your experience level and goals.',
|
||||
'category': career_category,
|
||||
'price': 12.0,
|
||||
'agent_type': 'form',
|
||||
'form_schema': {
|
||||
'fields': [] # Empty since we're using JotForm directly
|
||||
},
|
||||
'webhook_url': 'https://agent.jotform.com/019865a942ab7fa5b5b743a5fd2abe09e345',
|
||||
'access_url_name': 'agents:direct_access_handler',
|
||||
'display_url_name': 'agents:direct_access_display'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created agent: {cybersec_agent.name}'))
|
||||
self.stdout.write(f' 📝 Description: {cybersec_agent.short_description}')
|
||||
self.stdout.write(f' 💰 Price: {cybersec_agent.price} AED')
|
||||
self.stdout.write(f' 🔗 JotForm URL: {cybersec_agent.webhook_url}')
|
||||
self.stdout.write(f' 📂 Category: {cybersec_agent.category.name}')
|
||||
else:
|
||||
self.stdout.write(f'Agent already exists: {cybersec_agent.name}')
|
||||
|
||||
self.stdout.write('')
|
||||
self.stdout.write(self.style.SUCCESS('✅ CyberSec Career Navigator setup completed successfully'))
|
||||
self.stdout.write('')
|
||||
self.stdout.write('🚀 Next steps:')
|
||||
self.stdout.write(' 1. Agent will appear in the Career & Education category')
|
||||
self.stdout.write(' 2. Users will pay 12 AED and get direct access to JotForm interface')
|
||||
self.stdout.write(' 3. Visit /agents/cybersec-career-navigator/ to test the interface')
|
||||
self.stdout.write('')
|
||||
self.stdout.write(f'Agent ID: {cybersec_agent.id}')
|
||||
self.stdout.write(f'Agent Slug: {cybersec_agent.slug}')
|
||||
@ -1,71 +0,0 @@
|
||||
from django.core.management.base import BaseCommand
|
||||
from agents.models import AgentCategory, Agent
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = 'Create the 5 Whys chat-based analysis agent'
|
||||
|
||||
def handle(self, *args, **options):
|
||||
# Create or get the Analysis category
|
||||
category, created = AgentCategory.objects.get_or_create(
|
||||
slug='analysis',
|
||||
defaults={
|
||||
'name': 'Analysis & Problem Solving',
|
||||
'description': 'Advanced analytical tools for problem-solving and decision making',
|
||||
'icon': '🧠',
|
||||
'is_active': True
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(f'✅ Created category: {category.name}')
|
||||
else:
|
||||
self.stdout.write(f'📂 Using existing category: {category.name}')
|
||||
|
||||
# Create the 5 Whys agent
|
||||
agent, created = Agent.objects.get_or_create(
|
||||
slug='five-whys-analysis',
|
||||
defaults={
|
||||
'name': '5 Whys Analysis',
|
||||
'short_description': 'Interactive problem-solving using the proven 5 Whys methodology',
|
||||
'description': '''Systematically find root causes through guided 5 Whys methodology. Perfect for troubleshooting operational problems, understanding failures, and identifying systemic issues.''',
|
||||
'category': category,
|
||||
'price': 15.00,
|
||||
'agent_type': 'chat', # This is a chat-based agent
|
||||
'message_limit': 20, # Limit messages per session
|
||||
'form_schema': None, # Chat agents don't use form schemas
|
||||
'webhook_url': 'http://localhost:5678/webhook/5-whys-web', # N8N webhook URL
|
||||
'is_active': True,
|
||||
'access_url_name': '',
|
||||
'display_url_name': ''
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(f'🎉 Successfully created 5 Whys Analysis agent!')
|
||||
)
|
||||
self.stdout.write(f' 💬 Agent Type: {agent.agent_type}')
|
||||
self.stdout.write(f' 💰 Price: {agent.price} AED')
|
||||
self.stdout.write(f' 🔗 Webhook: {agent.webhook_url}')
|
||||
self.stdout.write(f' 📂 Category: {agent.category.name}')
|
||||
else:
|
||||
self.stdout.write(
|
||||
self.style.WARNING(f'⚠️ 5 Whys Analysis agent already exists')
|
||||
)
|
||||
|
||||
# Update existing agent to ensure it's chat-based
|
||||
if agent.agent_type != 'chat':
|
||||
agent.agent_type = 'chat'
|
||||
agent.form_schema = None
|
||||
agent.save()
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(f'✅ Updated existing agent to chat-based')
|
||||
)
|
||||
|
||||
self.stdout.write('')
|
||||
self.stdout.write('🚀 Next steps:')
|
||||
self.stdout.write(' 1. Ensure N8N webhook is running on localhost:5678')
|
||||
self.stdout.write(' 2. Visit /agents/five-whys-analysis/ to test the chat interface')
|
||||
self.stdout.write(' 3. Start a conversation to test the 5 Whys methodology')
|
||||
self.stdout.write('')
|
||||
self.stdout.write('💡 The agent is now ready for interactive problem-solving!')
|
||||
@ -1,132 +0,0 @@
|
||||
from django.core.management.base import BaseCommand
|
||||
from agents.models import AgentCategory, Agent
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = 'Create job posting generator agent'
|
||||
|
||||
def handle(self, *args, **options):
|
||||
# Get or use existing HR category
|
||||
hr_category, created = AgentCategory.objects.get_or_create(
|
||||
slug='human-resources',
|
||||
defaults={
|
||||
'name': 'Human Resources',
|
||||
'description': 'AI-powered HR and recruitment tools',
|
||||
'icon': '💼'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created category: {hr_category.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Category already exists: {hr_category.name}')
|
||||
|
||||
# Create Job Posting Generator agent
|
||||
job_posting_agent, created = Agent.objects.get_or_create(
|
||||
slug='job-posting-generator',
|
||||
defaults={
|
||||
'name': 'Job Posting Generator',
|
||||
'short_description': 'Create professional job postings that attract top talent',
|
||||
'description': 'Generate comprehensive and attractive job postings with AI-powered content creation. Perfect for HR teams and recruiters looking to create compelling job descriptions that attract qualified candidates. Supports multiple languages, locations, and contract types.',
|
||||
'category': hr_category,
|
||||
'price': 10.0,
|
||||
'form_schema': {
|
||||
'fields': [
|
||||
{
|
||||
'name': 'job_title',
|
||||
'type': 'text',
|
||||
'label': 'Job Title',
|
||||
'placeholder': 'e.g., Senior Full Stack Developer',
|
||||
'required': True,
|
||||
'help_text': 'The position title for the job posting'
|
||||
},
|
||||
{
|
||||
'name': 'company_name',
|
||||
'type': 'text',
|
||||
'label': 'Company Name',
|
||||
'placeholder': 'e.g., Quantum Technologies Inc.',
|
||||
'required': True,
|
||||
'help_text': 'Name of the hiring company'
|
||||
},
|
||||
{
|
||||
'name': 'job_description',
|
||||
'type': 'textarea',
|
||||
'label': 'Job Description',
|
||||
'placeholder': 'Describe the role, responsibilities, and what makes this opportunity exciting...',
|
||||
'required': True,
|
||||
'rows': 5,
|
||||
'help_text': 'Detailed description of the role, responsibilities, and company culture'
|
||||
},
|
||||
{
|
||||
'name': 'seniority_level',
|
||||
'type': 'select',
|
||||
'label': 'Seniority Level',
|
||||
'required': True,
|
||||
'options': [
|
||||
{'value': '', 'label': 'Select seniority level...'},
|
||||
{'value': 'entry', 'label': 'Entry Level'},
|
||||
{'value': 'junior', 'label': 'Junior'},
|
||||
{'value': 'mid', 'label': 'Mid Level'},
|
||||
{'value': 'senior', 'label': 'Senior'},
|
||||
{'value': 'lead', 'label': 'Lead'},
|
||||
{'value': 'principal', 'label': 'Principal'},
|
||||
{'value': 'executive', 'label': 'Executive'}
|
||||
],
|
||||
'help_text': 'Experience level required for this position'
|
||||
},
|
||||
{
|
||||
'name': 'contract_type',
|
||||
'type': 'select',
|
||||
'label': 'Contract Type',
|
||||
'required': True,
|
||||
'options': [
|
||||
{'value': '', 'label': 'Select contract type...'},
|
||||
{'value': 'full-time', 'label': 'Full-time'},
|
||||
{'value': 'part-time', 'label': 'Part-time'},
|
||||
{'value': 'contract', 'label': 'Contract'},
|
||||
{'value': 'freelance', 'label': 'Freelance'},
|
||||
{'value': 'internship', 'label': 'Internship'},
|
||||
{'value': 'temporary', 'label': 'Temporary'}
|
||||
],
|
||||
'help_text': 'Type of employment contract'
|
||||
},
|
||||
{
|
||||
'name': 'location',
|
||||
'type': 'text',
|
||||
'label': 'Location',
|
||||
'placeholder': 'e.g., Dubai, UAE (Remote)',
|
||||
'required': True,
|
||||
'help_text': 'Job location, include if remote work is available'
|
||||
},
|
||||
{
|
||||
'name': 'language',
|
||||
'type': 'select',
|
||||
'label': 'Language',
|
||||
'required': False,
|
||||
'default': 'English',
|
||||
'options': [
|
||||
{'value': 'English', 'label': 'English'},
|
||||
{'value': 'Arabic', 'label': 'Arabic (العربية)'},
|
||||
{'value': 'Spanish', 'label': 'Spanish (Español)'},
|
||||
{'value': 'French', 'label': 'French (Français)'},
|
||||
{'value': 'German', 'label': 'German (Deutsch)'},
|
||||
{'value': 'Chinese', 'label': 'Chinese (中文)'}
|
||||
],
|
||||
'help_text': 'Primary language for the job posting'
|
||||
}
|
||||
]
|
||||
},
|
||||
'webhook_url': 'http://localhost:5678/webhook/43f84411-eaaa-488c-9b1f-856e90d0aaf6',
|
||||
'access_url_name': '',
|
||||
'display_url_name': ''
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created agent: {job_posting_agent.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Agent already exists: {job_posting_agent.name}')
|
||||
|
||||
self.stdout.write(self.style.SUCCESS('Job Posting Generator setup completed successfully'))
|
||||
self.stdout.write(f'Agent ID: {job_posting_agent.id}')
|
||||
self.stdout.write(f'Agent Slug: {job_posting_agent.slug}')
|
||||
self.stdout.write(f'Price: {job_posting_agent.price} AED')
|
||||
@ -1,60 +0,0 @@
|
||||
from django.core.management.base import BaseCommand
|
||||
from agents.models import AgentCategory, Agent
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = 'Create Lean Six Sigma Expert agent with JotForm integration'
|
||||
|
||||
def handle(self, *args, **options):
|
||||
# Create Business Consulting category
|
||||
consulting_category, created = AgentCategory.objects.get_or_create(
|
||||
slug='consulting',
|
||||
defaults={
|
||||
'name': 'Business Consulting',
|
||||
'description': 'Professional business consultation and strategy services',
|
||||
'icon': '💼'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created category: {consulting_category.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Category already exists: {consulting_category.name}')
|
||||
|
||||
# Create Lean Six Sigma Expert agent
|
||||
lean_six_sigma_agent, created = Agent.objects.get_or_create(
|
||||
slug='lean-six-sigma-expert',
|
||||
defaults={
|
||||
'name': 'Lean Six Sigma Expert',
|
||||
'short_description': 'Get expert guidance on Lean Six Sigma methodologies and process improvement strategies',
|
||||
'description': 'Optimize your business processes with expert Lean Six Sigma consultation. Our AI-powered expert provides comprehensive guidance on process improvement, waste reduction, quality enhancement, and operational excellence. Get personalized recommendations for implementing Lean Six Sigma methodologies in your organization.',
|
||||
'category': consulting_category,
|
||||
'price': 0.0,
|
||||
'agent_type': 'form',
|
||||
'form_schema': {
|
||||
'fields': [] # Empty since we're using JotForm directly
|
||||
},
|
||||
'webhook_url': 'https://agent.jotform.com/01987b8843ae71129342f62a93d2c605efad',
|
||||
'access_url_name': 'agents:direct_access_handler',
|
||||
'display_url_name': 'agents:direct_access_display'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created agent: {lean_six_sigma_agent.name}'))
|
||||
self.stdout.write(f' 📝 Description: {lean_six_sigma_agent.short_description}')
|
||||
self.stdout.write(f' 💰 Price: {lean_six_sigma_agent.price} AED')
|
||||
self.stdout.write(f' 🔗 JotForm URL: {lean_six_sigma_agent.webhook_url}')
|
||||
self.stdout.write(f' 📂 Category: {lean_six_sigma_agent.category.name}')
|
||||
else:
|
||||
self.stdout.write(f'Agent already exists: {lean_six_sigma_agent.name}')
|
||||
|
||||
self.stdout.write('')
|
||||
self.stdout.write(self.style.SUCCESS('✅ Lean Six Sigma Expert setup completed successfully'))
|
||||
self.stdout.write('')
|
||||
self.stdout.write('🚀 Next steps:')
|
||||
self.stdout.write(' 1. Agent will appear in the Business Consulting category')
|
||||
self.stdout.write(' 2. Users get free access to JotForm Lean Six Sigma consultation')
|
||||
self.stdout.write(' 3. Visit /agents/lean-six-sigma-expert/ to test the interface')
|
||||
self.stdout.write('')
|
||||
self.stdout.write(f'Agent ID: {lean_six_sigma_agent.id}')
|
||||
self.stdout.write(f'Agent Slug: {lean_six_sigma_agent.slug}')
|
||||
@ -1,106 +0,0 @@
|
||||
from django.core.management.base import BaseCommand
|
||||
from agents.models import AgentCategory, Agent
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = 'Create PDF summarizer agent'
|
||||
|
||||
def handle(self, *args, **options):
|
||||
# Get or create Document Processing category
|
||||
doc_category, created = AgentCategory.objects.get_or_create(
|
||||
slug='document-processing',
|
||||
defaults={
|
||||
'name': 'Document Processing',
|
||||
'description': 'AI-powered document analysis and processing tools',
|
||||
'icon': '📄'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created category: {doc_category.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Category already exists: {doc_category.name}')
|
||||
|
||||
# Create PDF Summarizer agent
|
||||
pdf_summarizer_agent, created = Agent.objects.get_or_create(
|
||||
slug='pdf-summarizer',
|
||||
defaults={
|
||||
'name': 'PDF Summarizer',
|
||||
'short_description': 'Extract and summarize content from PDF documents with AI analysis',
|
||||
'description': 'Upload PDF documents and get comprehensive AI-powered summaries, key insights, and analysis. Perfect for processing reports, research papers, contracts, and other documents. Supports multiple analysis types including summary, key points extraction, and sentiment analysis.',
|
||||
'category': doc_category,
|
||||
'price': 8.0,
|
||||
'form_schema': {
|
||||
'fields': [
|
||||
{
|
||||
'name': 'pdf_file',
|
||||
'type': 'file',
|
||||
'label': 'Upload PDF Document',
|
||||
'required': True,
|
||||
'accept': '.pdf',
|
||||
'max_size': '10MB',
|
||||
'help_text': 'Select a PDF file to analyze (max 10MB)'
|
||||
},
|
||||
{
|
||||
'name': 'analysis_type',
|
||||
'type': 'select',
|
||||
'label': 'Analysis Type',
|
||||
'required': True,
|
||||
'default': 'summary',
|
||||
'options': [
|
||||
{'value': '', 'label': 'Select analysis type...'},
|
||||
{'value': 'summary', 'label': 'Document Summary'},
|
||||
{'value': 'key_points', 'label': 'Key Points Extraction'},
|
||||
{'value': 'detailed_analysis', 'label': 'Detailed Analysis'},
|
||||
{'value': 'sentiment', 'label': 'Sentiment Analysis'},
|
||||
{'value': 'questions', 'label': 'Generate Questions'},
|
||||
{'value': 'action_items', 'label': 'Extract Action Items'}
|
||||
],
|
||||
'help_text': 'Choose the type of analysis to perform on the document'
|
||||
},
|
||||
{
|
||||
'name': 'language',
|
||||
'type': 'select',
|
||||
'label': 'Document Language',
|
||||
'required': False,
|
||||
'default': 'auto',
|
||||
'options': [
|
||||
{'value': 'auto', 'label': 'Auto-detect'},
|
||||
{'value': 'English', 'label': 'English'},
|
||||
{'value': 'Arabic', 'label': 'Arabic (العربية)'},
|
||||
{'value': 'Spanish', 'label': 'Spanish (Español)'},
|
||||
{'value': 'French', 'label': 'French (Français)'},
|
||||
{'value': 'German', 'label': 'German (Deutsch)'},
|
||||
{'value': 'Chinese', 'label': 'Chinese (中文)'}
|
||||
],
|
||||
'help_text': 'Specify document language for better analysis accuracy'
|
||||
},
|
||||
{
|
||||
'name': 'output_length',
|
||||
'type': 'select',
|
||||
'label': 'Summary Length',
|
||||
'required': False,
|
||||
'default': 'medium',
|
||||
'options': [
|
||||
{'value': 'short', 'label': 'Short (1-2 paragraphs)'},
|
||||
{'value': 'medium', 'label': 'Medium (3-5 paragraphs)'},
|
||||
{'value': 'long', 'label': 'Long (detailed summary)'}
|
||||
],
|
||||
'help_text': 'Choose the desired length of the analysis output'
|
||||
}
|
||||
]
|
||||
},
|
||||
'webhook_url': 'http://localhost:5678/webhook/simple-pdf-processor',
|
||||
'access_url_name': '',
|
||||
'display_url_name': ''
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created agent: {pdf_summarizer_agent.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Agent already exists: {pdf_summarizer_agent.name}')
|
||||
|
||||
self.stdout.write(self.style.SUCCESS('PDF Summarizer setup completed successfully'))
|
||||
self.stdout.write(f'Agent ID: {pdf_summarizer_agent.id}')
|
||||
self.stdout.write(f'Agent Slug: {pdf_summarizer_agent.slug}')
|
||||
self.stdout.write(f'Price: {pdf_summarizer_agent.price} AED')
|
||||
@ -1,151 +0,0 @@
|
||||
from django.core.management.base import BaseCommand
|
||||
from agents.models import AgentCategory, Agent
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = 'Create sample agents for testing'
|
||||
|
||||
def handle(self, *args, **options):
|
||||
# Create categories
|
||||
ai_category, _ = AgentCategory.objects.get_or_create(
|
||||
slug='ai-tools',
|
||||
defaults={
|
||||
'name': 'AI Tools',
|
||||
'description': 'AI-powered automation tools',
|
||||
'icon': '🤖'
|
||||
}
|
||||
)
|
||||
|
||||
data_category, _ = AgentCategory.objects.get_or_create(
|
||||
slug='data-analysis',
|
||||
defaults={
|
||||
'name': 'Data Analysis',
|
||||
'description': 'Data processing and analysis tools',
|
||||
'icon': '📊'
|
||||
}
|
||||
)
|
||||
|
||||
web_category, _ = AgentCategory.objects.get_or_create(
|
||||
slug='web-scraping',
|
||||
defaults={
|
||||
'name': 'Web Scraping',
|
||||
'description': 'Web data extraction tools',
|
||||
'icon': '🕷️'
|
||||
}
|
||||
)
|
||||
|
||||
# Create sample agents
|
||||
Agent.objects.get_or_create(
|
||||
slug='pdf-analyzer',
|
||||
defaults={
|
||||
'name': 'PDF Content Analyzer',
|
||||
'short_description': 'Extract and analyze content from PDF documents',
|
||||
'description': 'This agent processes PDF files and extracts meaningful insights including summaries, keywords, and sentiment analysis. Perfect for document processing workflows.',
|
||||
'category': ai_category,
|
||||
'price': 5.00,
|
||||
'form_schema': {
|
||||
'fields': [
|
||||
{
|
||||
'name': 'pdf_url',
|
||||
'type': 'url',
|
||||
'label': 'PDF URL',
|
||||
'placeholder': 'https://example.com/document.pdf',
|
||||
'required': True
|
||||
},
|
||||
{
|
||||
'name': 'analysis_type',
|
||||
'type': 'select',
|
||||
'label': 'Analysis Type',
|
||||
'options': [
|
||||
{'value': 'summary', 'label': 'Summary'},
|
||||
{'value': 'keywords', 'label': 'Keywords'},
|
||||
{'value': 'sentiment', 'label': 'Sentiment Analysis'}
|
||||
],
|
||||
'required': True
|
||||
}
|
||||
]
|
||||
},
|
||||
'webhook_url': 'https://your-n8n-instance.com/webhook/pdf-analyzer'
|
||||
}
|
||||
)
|
||||
|
||||
Agent.objects.get_or_create(
|
||||
slug='website-scraper',
|
||||
defaults={
|
||||
'name': 'Website Data Scraper',
|
||||
'short_description': 'Extract structured data from any website',
|
||||
'description': 'Advanced web scraping agent that can extract specific data from websites using CSS selectors or XPath. Handles JavaScript-rendered content and returns clean, structured data.',
|
||||
'category': web_category,
|
||||
'price': 3.00,
|
||||
'form_schema': {
|
||||
'fields': [
|
||||
{
|
||||
'name': 'website_url',
|
||||
'type': 'url',
|
||||
'label': 'Website URL',
|
||||
'placeholder': 'https://example.com',
|
||||
'required': True
|
||||
},
|
||||
{
|
||||
'name': 'selectors',
|
||||
'type': 'textarea',
|
||||
'label': 'CSS Selectors (one per line)',
|
||||
'placeholder': 'h1.title\n.price\n.description',
|
||||
'required': True
|
||||
},
|
||||
{
|
||||
'name': 'wait_for_js',
|
||||
'type': 'checkbox',
|
||||
'label': 'Wait for JavaScript to load',
|
||||
'required': False
|
||||
}
|
||||
]
|
||||
},
|
||||
'webhook_url': 'https://your-n8n-instance.com/webhook/website-scraper'
|
||||
}
|
||||
)
|
||||
|
||||
Agent.objects.get_or_create(
|
||||
slug='data-analyzer',
|
||||
defaults={
|
||||
'name': 'CSV Data Analyzer',
|
||||
'short_description': 'Analyze and visualize CSV data with insights',
|
||||
'description': 'Upload CSV files and get comprehensive data analysis including statistics, trends, and visualizations. Perfect for business intelligence and data exploration.',
|
||||
'category': data_category,
|
||||
'price': 4.50,
|
||||
'form_schema': {
|
||||
'fields': [
|
||||
{
|
||||
'name': 'csv_url',
|
||||
'type': 'url',
|
||||
'label': 'CSV File URL',
|
||||
'placeholder': 'https://example.com/data.csv',
|
||||
'required': True
|
||||
},
|
||||
{
|
||||
'name': 'analysis_columns',
|
||||
'type': 'text',
|
||||
'label': 'Columns to Analyze (comma-separated)',
|
||||
'placeholder': 'sales,revenue,date',
|
||||
'required': False
|
||||
},
|
||||
{
|
||||
'name': 'chart_type',
|
||||
'type': 'select',
|
||||
'label': 'Chart Type',
|
||||
'options': [
|
||||
{'value': 'line', 'label': 'Line Chart'},
|
||||
{'value': 'bar', 'label': 'Bar Chart'},
|
||||
{'value': 'pie', 'label': 'Pie Chart'},
|
||||
{'value': 'scatter', 'label': 'Scatter Plot'}
|
||||
],
|
||||
'required': False
|
||||
}
|
||||
]
|
||||
},
|
||||
'webhook_url': 'https://your-n8n-instance.com/webhook/data-analyzer'
|
||||
}
|
||||
)
|
||||
|
||||
self.stdout.write(self.style.SUCCESS('Sample agents created successfully'))
|
||||
self.stdout.write(f'Created categories: {AgentCategory.objects.count()}')
|
||||
self.stdout.write(f'Created agents: {Agent.objects.count()}')
|
||||
@ -1,103 +0,0 @@
|
||||
from django.core.management.base import BaseCommand
|
||||
from agents.models import AgentCategory, Agent
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = 'Create social ads agent for testing'
|
||||
|
||||
def handle(self, *args, **options):
|
||||
# Create Marketing category
|
||||
marketing_category, created = AgentCategory.objects.get_or_create(
|
||||
slug='marketing',
|
||||
defaults={
|
||||
'name': 'Marketing & Advertising',
|
||||
'description': 'AI-powered marketing and advertising tools',
|
||||
'icon': '📢'
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created category: {marketing_category.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Category already exists: {marketing_category.name}')
|
||||
|
||||
# Create Social Ads Generator agent
|
||||
social_ads_agent, created = Agent.objects.get_or_create(
|
||||
slug='social-ads-generator',
|
||||
defaults={
|
||||
'name': 'Social Ads Generator',
|
||||
'short_description': 'Create compelling social media advertisements optimized for different platforms',
|
||||
'description': 'Generate engaging social media advertisements with AI-powered content generation. Optimized for Facebook, Instagram, LinkedIn, Twitter, TikTok, and YouTube. Includes platform-specific formatting, emoji support, and multi-language capabilities.',
|
||||
'category': marketing_category,
|
||||
'price': 6.0,
|
||||
'form_schema': {
|
||||
'fields': [
|
||||
{
|
||||
'name': 'description',
|
||||
'type': 'textarea',
|
||||
'label': 'Describe what you\'d like to generate',
|
||||
'placeholder': 'Describe the product, service, or campaign you want to create an ad for. Include key features, target audience, and any specific messaging you want to emphasize.',
|
||||
'required': True,
|
||||
'rows': 4,
|
||||
'help_text': 'Provide clear, specific information about your product or service for better ad copy'
|
||||
},
|
||||
{
|
||||
'name': 'social_platform',
|
||||
'type': 'select',
|
||||
'label': 'For Social Media Platform',
|
||||
'required': True,
|
||||
'options': [
|
||||
{'value': '', 'label': 'Select a platform...'},
|
||||
{'value': 'facebook', 'label': 'Facebook'},
|
||||
{'value': 'instagram', 'label': 'Instagram'},
|
||||
{'value': 'linkedin', 'label': 'LinkedIn'},
|
||||
{'value': 'twitter', 'label': 'X (Twitter)'},
|
||||
{'value': 'tiktok', 'label': 'TikTok'},
|
||||
{'value': 'youtube', 'label': 'YouTube'}
|
||||
],
|
||||
'help_text': 'Choose the social media platform for optimization'
|
||||
},
|
||||
{
|
||||
'name': 'include_emoji',
|
||||
'type': 'select',
|
||||
'label': 'Include Emoji',
|
||||
'required': True,
|
||||
'options': [
|
||||
{'value': '', 'label': 'Select an option...'},
|
||||
{'value': 'yes', 'label': 'Yes'},
|
||||
{'value': 'no', 'label': 'No'}
|
||||
],
|
||||
'help_text': 'Whether to include emojis in the ad copy'
|
||||
},
|
||||
{
|
||||
'name': 'language',
|
||||
'type': 'select',
|
||||
'label': 'Language',
|
||||
'required': False,
|
||||
'default': 'English',
|
||||
'options': [
|
||||
{'value': 'English', 'label': 'English'},
|
||||
{'value': 'Arabic', 'label': 'Arabic (العربية)'},
|
||||
{'value': 'Spanish', 'label': 'Spanish (Español)'},
|
||||
{'value': 'French', 'label': 'French (Français)'},
|
||||
{'value': 'German', 'label': 'German (Deutsch)'},
|
||||
{'value': 'Chinese', 'label': 'Chinese (中文)'}
|
||||
],
|
||||
'help_text': 'Select the primary language for the ad copy'
|
||||
}
|
||||
]
|
||||
},
|
||||
'webhook_url': 'http://localhost:5678/webhook/2dc234d8-7217-454a-83e9-81afe5b4fe2d',
|
||||
'access_url_name': '',
|
||||
'display_url_name': ''
|
||||
}
|
||||
)
|
||||
|
||||
if created:
|
||||
self.stdout.write(self.style.SUCCESS(f'Created agent: {social_ads_agent.name}'))
|
||||
else:
|
||||
self.stdout.write(f'Agent already exists: {social_ads_agent.name}')
|
||||
|
||||
self.stdout.write(self.style.SUCCESS('Social Ads Agent setup completed successfully'))
|
||||
self.stdout.write(f'Agent ID: {social_ads_agent.id}')
|
||||
self.stdout.write(f'Agent Slug: {social_ads_agent.slug}')
|
||||
self.stdout.write(f'Price: {social_ads_agent.price} AED')
|
||||
@ -1,63 +0,0 @@
|
||||
from django.core.management.base import BaseCommand
|
||||
from agents.models import Agent
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = 'Sync Railway agents with correct local values'
|
||||
|
||||
def handle(self, *args, **options):
|
||||
self.stdout.write("🔄 Updating Railway database with local agent values...")
|
||||
|
||||
# Update 5 Whys agent
|
||||
try:
|
||||
five_whys = Agent.objects.get(slug='5-whys-analyzer')
|
||||
five_whys.price = 15.0
|
||||
five_whys.message_limit = 20
|
||||
five_whys.save()
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(
|
||||
f"✅ Updated 5 Whys: {five_whys.price} AED, {five_whys.message_limit} messages"
|
||||
)
|
||||
)
|
||||
except Agent.DoesNotExist:
|
||||
self.stdout.write(self.style.ERROR("❌ 5 Whys agent not found"))
|
||||
|
||||
# Update CyberSec Career Navigator
|
||||
try:
|
||||
career_agent = Agent.objects.get(slug='cybersec-career-navigator')
|
||||
career_agent.price = 0.0
|
||||
career_agent.message_limit = 50
|
||||
career_agent.save()
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(
|
||||
f"✅ Updated CyberSec Career: {career_agent.price} AED, {career_agent.message_limit} messages"
|
||||
)
|
||||
)
|
||||
except Agent.DoesNotExist:
|
||||
self.stdout.write(self.style.ERROR("❌ CyberSec Career agent not found"))
|
||||
|
||||
# Update other agents if needed
|
||||
agents_to_update = [
|
||||
('social-ads-generator', 6.0, 50),
|
||||
('job-posting-generator', 10.0, 50),
|
||||
('pdf-summarizer', 8.0, 50),
|
||||
]
|
||||
|
||||
for slug, price, msg_limit in agents_to_update:
|
||||
try:
|
||||
agent = Agent.objects.get(slug=slug)
|
||||
agent.price = price
|
||||
agent.message_limit = msg_limit
|
||||
agent.save()
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(
|
||||
f"✅ Updated {agent.name}: {agent.price} AED, {agent.message_limit} messages"
|
||||
)
|
||||
)
|
||||
except Agent.DoesNotExist:
|
||||
self.stdout.write(self.style.ERROR(f"❌ Agent {slug} not found"))
|
||||
|
||||
self.stdout.write("\n📊 Final agent summary:")
|
||||
for agent in Agent.objects.all():
|
||||
self.stdout.write(f" {agent.name}: {agent.price} AED, {agent.message_limit} messages")
|
||||
|
||||
self.stdout.write(self.style.SUCCESS("\n🎉 Railway database sync completed!"))
|
||||
@ -86,6 +86,10 @@
|
||||
<a href="{% url 'agents:lean_six_sigma_expert_access' %}" class="try-btn">
|
||||
Try Now →
|
||||
</a>
|
||||
{% elif agent.slug == 'swot-analysis-expert' %}
|
||||
<a href="{% url 'agents:swot_analysis_expert_access' %}" class="try-btn">
|
||||
📊 Try Now →
|
||||
</a>
|
||||
{% else %}
|
||||
<a href="{% url 'agents:detail' agent.slug %}" class="try-btn">Try Now →</a>
|
||||
{% endif %}
|
||||
@ -102,6 +106,10 @@
|
||||
<a href="{% url 'authentication:login' %}?next={% url 'agents:lean_six_sigma_expert_access' %}" class="try-btn login-required" style="width: 100%;">
|
||||
🔐 Login to Try
|
||||
</a>
|
||||
{% elif agent.slug == 'swot-analysis-expert' %}
|
||||
<a href="{% url 'authentication:login' %}?next={% url 'agents:swot_analysis_expert_access' %}" class="try-btn login-required" style="width: 100%;">
|
||||
🔐 Login to Try
|
||||
</a>
|
||||
{% else %}
|
||||
<a href="{% url 'authentication:login' %}?next={% url 'agents:detail' agent.slug %}" class="try-btn login-required" style="width: 100%;">
|
||||
🔐 Login to Try
|
||||
|
||||
@ -14,6 +14,8 @@ urlpatterns = [
|
||||
path('ai-brand-strategist/access/', views.ai_brand_strategist_access, name='ai_brand_strategist_access'),
|
||||
path('lean-six-sigma-expert/', views.lean_six_sigma_expert_view, name='lean_six_sigma_expert'),
|
||||
path('lean-six-sigma-expert/access/', views.lean_six_sigma_expert_access, name='lean_six_sigma_expert_access'),
|
||||
path('swot-analysis-expert/', views.swot_analysis_expert_view, name='swot_analysis_expert'),
|
||||
path('swot-analysis-expert/access/', views.swot_analysis_expert_access, name='swot_analysis_expert_access'),
|
||||
|
||||
# API endpoints - specific URLs first to avoid slug conflicts
|
||||
path('api/execute/', views.execute_agent, name='execute_agent'),
|
||||
|
||||
@ -1243,3 +1243,99 @@ def lean_six_sigma_expert_access(request):
|
||||
|
||||
# Redirect directly to form - no message needed
|
||||
return redirect('agents:lean_six_sigma_expert')
|
||||
|
||||
|
||||
def swot_analysis_expert_view(request):
|
||||
"""Display the SWOT Analysis Expert form page"""
|
||||
if not request.user.is_authenticated:
|
||||
# Clear all existing messages before adding login message
|
||||
storage = messages.get_messages(request)
|
||||
for _ in storage:
|
||||
pass # Consume all messages
|
||||
# Add login message to session for after login redirect
|
||||
request.session['post_login_message'] = 'Please complete your login to access the SWOT Analysis Expert.'
|
||||
return redirect('authentication:login')
|
||||
|
||||
# Get the SWOT Analysis Expert agent
|
||||
try:
|
||||
agent = Agent.objects.get(slug='swot-analysis-expert', is_active=True)
|
||||
except Agent.DoesNotExist:
|
||||
messages.error(request, 'SWOT Analysis Expert is currently unavailable.')
|
||||
return redirect('agents:marketplace')
|
||||
|
||||
# Check if user has a recent execution (within last 2 hours) or just redirect to payment
|
||||
from django.utils import timezone
|
||||
from datetime import timedelta
|
||||
|
||||
recent_execution = AgentExecution.objects.filter(
|
||||
agent=agent,
|
||||
user=request.user,
|
||||
status='completed',
|
||||
created_at__gte=timezone.now() - timedelta(hours=2)
|
||||
).first()
|
||||
|
||||
if not recent_execution:
|
||||
messages.info(request, 'Please click "Try Now" to access your SWOT Analysis Expert consultation.')
|
||||
return redirect('agents:marketplace')
|
||||
|
||||
context = {
|
||||
'agent': agent,
|
||||
'form_url': agent.webhook_url,
|
||||
'user_balance': request.user.wallet_balance,
|
||||
'execution': recent_execution
|
||||
}
|
||||
|
||||
return render(request, 'swot_analysis_expert.html', context)
|
||||
|
||||
|
||||
def swot_analysis_expert_access(request):
|
||||
"""Handle Try Now button click - charge wallet and redirect to form"""
|
||||
if not request.user.is_authenticated:
|
||||
# Clear all existing messages before adding login message
|
||||
storage = messages.get_messages(request)
|
||||
for _ in storage:
|
||||
pass # Consume all messages
|
||||
# Add login message to session for after login redirect
|
||||
request.session['post_login_message'] = 'Please complete your login to access the SWOT Analysis Expert.'
|
||||
return redirect('authentication:login')
|
||||
|
||||
# Get the SWOT Analysis Expert agent
|
||||
try:
|
||||
agent = Agent.objects.get(slug='swot-analysis-expert', is_active=True)
|
||||
except Agent.DoesNotExist:
|
||||
messages.error(request, 'SWOT Analysis Expert is currently unavailable.')
|
||||
return redirect('agents:marketplace')
|
||||
|
||||
# Check if user has sufficient balance
|
||||
if not request.user.has_sufficient_balance(agent.price):
|
||||
messages.error(request, f'Insufficient balance! You need {agent.price} AED to access the SWOT Analysis Expert.')
|
||||
return redirect('wallet:wallet')
|
||||
|
||||
# Deduct fee from user wallet
|
||||
success = request.user.deduct_balance(
|
||||
agent.price,
|
||||
f'{agent.name} - Direct Access',
|
||||
agent.slug
|
||||
)
|
||||
|
||||
if not success:
|
||||
messages.error(request, 'Failed to process payment. Please try again.')
|
||||
return redirect('agents:marketplace')
|
||||
|
||||
# Create execution record for tracking
|
||||
execution = AgentExecution.objects.create(
|
||||
agent=agent,
|
||||
user=request.user,
|
||||
input_data={'action': 'direct_access', 'source': 'try_now_button'},
|
||||
fee_charged=agent.price,
|
||||
status='completed',
|
||||
output_data={
|
||||
'type': 'direct_access',
|
||||
'message': f'Direct access granted to {agent.name}',
|
||||
'access_method': 'try_now_button'
|
||||
},
|
||||
completed_at=timezone.now()
|
||||
)
|
||||
|
||||
# Redirect directly to form - no message needed
|
||||
return redirect('agents:swot_analysis_expert')
|
||||
|
||||
38
templates/swot_analysis_expert.html
Normal file
38
templates/swot_analysis_expert.html
Normal file
@ -0,0 +1,38 @@
|
||||
{% extends 'base.html' %}
|
||||
{% load static %}
|
||||
|
||||
{% block title %}SWOT Analysis Expert - Quantum Tasks AI{% endblock %}
|
||||
|
||||
{% block extra_css %}
|
||||
<style>
|
||||
.main-container {
|
||||
max-width: none;
|
||||
padding: 0;
|
||||
height: calc(100vh - 80px);
|
||||
}
|
||||
.iframe-container {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
}
|
||||
.iframe-container iframe {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
border: none;
|
||||
display: block;
|
||||
}
|
||||
.footer {
|
||||
display: none !important;
|
||||
}
|
||||
</style>
|
||||
{% endblock %}
|
||||
|
||||
{% block content %}
|
||||
<div class="iframe-container">
|
||||
<iframe
|
||||
src="{{ form_url }}"
|
||||
frameborder="0"
|
||||
scrolling="auto"
|
||||
title="SWOT Analysis Expert">
|
||||
</iframe>
|
||||
</div>
|
||||
{% endblock %}
|
||||
Loading…
Reference in New Issue
Block a user