ALwrity/SETUP_GUIDE.md

ALwrity Setup Guide

🚀 Quick Start

Prerequisites

• Python 3.10+
• Node.js 18+
• npm or yarn
• Git

---

📋 Complete Setup Steps

1. Clone and Setup Repository

# Clone the repository
git clone https://github.com/AJaySi/AI-Writer.git
cd AI-Writer

# Install Python dependencies
pip install -r requirements.txt

2. Backend Setup (FastAPI)

Option A: Using the start_alwrity_backend script (Recommended)

# From project root
python start_alwrity_backend.py

Option B: Manual backend startup

cd backend
python -m uvicorn main:app --reload --host 0.0.0.0 --port 8000

Backend will be available at: http://localhost:8000

3. Frontend Setup (React)

cd frontend
npm install
npm start

Frontend will be available at: http://localhost:3000

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🏗️ Current Architecture Overview

Project Structure

alwrity/
├── backend/                    # FastAPI Backend
│   ├── main.py                # Main FastAPI application
│   ├── api/
│   │   ├── content_planning/  # Content planning endpoints
│   │   │   ├── api/
│   │   │   │   ├── enhanced_strategy_routes.py
│   │   │   │   └── router.py
│   │   │   └── services/
│   │   │       ├── content_strategy/  # Modular services
│   │   │       │   ├── core/
│   │   │       │   ├── ai_analysis/
│   │   │       │   ├── onboarding/
│   │   │       │   ├── performance/
│   │   │       │   ├── utils/
│   │   │       │   └── autofill/
│   │   │       └── enhanced_strategy_service.py
│   │   └── onboarding.py      # Onboarding endpoints
│   ├── models/
│   │   ├── enhanced_strategy_models.py
│   │   └── onboarding.py
│   ├── services/
│   │   ├── ai_service_manager.py
│   │   └── llm_providers/
│   └── requirements.txt
│
├── frontend/                   # React Frontend
│   ├── src/
│   │   ├── App.tsx            # Main app component
│   │   ├── components/
│   │   │   ├── ContentPlanningDashboard/
│   │   │   │   ├── components/
│   │   │   │   │   ├── ContentStrategyBuilder.tsx
│   │   │   │   │   ├── ProgressTracker.tsx
│   │   │   │   │   └── StrategicInputField.tsx
│   │   │   │   └── stores/
│   │   │   │       └── enhancedStrategyStore.ts
│   │   │   └── OnboardingWizard/
│   │   ├── services/
│   │   │   └── contentPlanningApi.ts
│   │   └── utils/
│   └── package.json
│
├── start_alwrity_backend.py   # Backend startup script
├── requirements.txt           # Python dependencies
└── README.md

---

🔧 Development Mode

Terminal 1: Backend (Recommended)

# From project root - uses the startup script
python start_alwrity_backend.py

Terminal 2: Frontend

cd frontend
npm start

---

🧪 Testing the Setup

1. Test Backend Health

curl http://localhost:8000/health

Expected Response:

{"status":"healthy","timestamp":"2025-08-10T12:55:16.132"}

2. Test Content Planning API

# Test enhanced strategy endpoints
curl http://localhost:8000/api/content-planning/enhanced-strategies/health

# Test autofill functionality
curl -X POST http://localhost:8000/api/content-planning/enhanced-strategies/autofill/refresh \
  -H "Content-Type: application/json" \
  -d '{"user_id": 1, "use_ai": true, "ai_only": true}'

3. Test Onboarding Endpoints

# Test onboarding status
curl http://localhost:8000/api/onboarding/status

# Test API key validation
curl -X POST http://localhost:8000/api/onboarding/providers/openai/validate \
  -H "Content-Type: application/json" \
  -d '{"api_key": "sk-your-openai-key"}'

4. Test Frontend

• Open http://localhost:3000 in your browser
• You should see the ALwrity application with modern React interface
• Navigate to Content Planning Dashboard to test the new features

---

📊 API Endpoints Overview

Content Planning Endpoints

# Enhanced Strategy Endpoints
GET /api/content-planning/enhanced-strategies/health
GET /api/content-planning/enhanced-strategies/
POST /api/content-planning/enhanced-strategies/
GET /api/content-planning/enhanced-strategies/{strategy_id}
PUT /api/content-planning/enhanced-strategies/{strategy_id}
DELETE /api/content-planning/enhanced-strategies/{strategy_id}

# Autofill Endpoints
GET /api/content-planning/enhanced-strategies/autofill/refresh/stream
POST /api/content-planning/enhanced-strategies/autofill/refresh
POST /api/content-planning/enhanced-strategies/{strategy_id}/autofill/accept

# AI Analytics Endpoints
GET /api/content-planning/ai-analytics/
POST /api/content-planning/ai-analytics/regenerate

Onboarding Endpoints

# Core Onboarding
GET /api/onboarding/status
GET /api/onboarding/progress
GET /api/onboarding/step/{n}
POST /api/onboarding/step/{n}/complete
POST /api/onboarding/step/{n}/skip

# API Key Management
GET /api/onboarding/api-keys
POST /api/onboarding/api-keys
GET /api/onboarding/providers
GET /api/onboarding/providers/{provider}/setup
POST /api/onboarding/providers/{provider}/validate

API Documentation

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc
• OpenAPI JSON: http://localhost:8000/openapi.json

---

🎯 Application Flow

First-Time Users

1. Visit http://localhost:3000
2. System checks onboarding status
3. Shows React onboarding wizard with 6 steps:
   • Step 1: API Key Management
   • Step 2: Website Setup
   • Step 3: Research Configuration
   • Step 4: Personalization Settings
   • Step 5: Integrations
   • Step 6: Final Setup
4. Complete setup with modern UI
5. Redirects to main application

Returning Users

1. Visit http://localhost:3000
2. System checks onboarding status
3. Shows main application directly
4. Access Content Planning Dashboard for AI-powered strategy generation

---

🐛 Troubleshooting

Backend Issues

Import Errors

# If you get import errors, ensure you're in the correct directory
cd backend
python -c "from api.content_planning.api.router import router; print('✅ Backend imports working')"

Missing Dependencies

# Install all Python dependencies
pip install -r requirements.txt

# If specific modules are missing
pip install fastapi uvicorn sqlalchemy psycopg2-binary python-multipart

Port Already in Use

# Find and kill process using port 8000
lsof -ti:8000 | xargs kill -9

# Or use a different port
python start_alwrity_backend.py --port 8001

Database Issues

# The system uses SQLite by default
# Database files are created automatically in the backend directory
# Check for database files:
ls backend/*.db

Frontend Issues

Build Errors

cd frontend
rm -rf node_modules package-lock.json
npm install
npm run build

Port Conflicts

# Change port in package.json or use different port
npm start -- --port 3001

CORS Issues

• Ensure backend CORS is configured correctly
• Check that frontend is making requests to correct backend URL
• Verify proxy configuration in package.json

Content Planning Issues

AI Autofill Not Working

# Test the autofill endpoint directly
curl -X POST http://localhost:8000/api/content-planning/enhanced-strategies/autofill/refresh \
  -H "Content-Type: application/json" \
  -d '{"user_id": 1, "use_ai": true, "ai_only": true}'

# Check backend logs for AI service errors
# Ensure API keys are configured correctly

Strategy Generation Issues

# Test strategy creation
curl -X POST http://localhost:8000/api/content-planning/enhanced-strategies/ \
  -H "Content-Type: application/json" \
  -d '{"name": "Test Strategy", "user_id": 1}'

---

🔍 Monitoring & Debugging

Backend Logs

• Check terminal where backend is running
• FastAPI provides detailed error messages and request logs
• Look for AI service integration logs

Frontend Logs

• Check browser developer console
• React development server logs
• Network tab for API requests

Database

• SQLite database files in backend directory
• Created automatically on first run
• Can be inspected with SQLite browser

API Documentation

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc
• Interactive testing of all endpoints

---

🚀 Production Deployment

Backend

# Build and run with gunicorn
pip install gunicorn
gunicorn main:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000

Frontend

cd frontend
npm run build
# Serve build/ folder with nginx or similar

Environment Variables

# Backend environment variables
export DATABASE_URL="postgresql://user:password@localhost/alwrity"
export CORS_ORIGINS="http://localhost:3000,http://127.0.0.1:3000"
export LOG_LEVEL="INFO"
export OPENAI_API_KEY="your-openai-key"
export GEMINI_API_KEY="your-gemini-key"

# Frontend environment variables
export REACT_APP_API_URL="http://localhost:8000"
export REACT_APP_ENVIRONMENT="production"

---

📚 Key Features Available

✅ Content Strategy Generation

• AI-powered content strategy generation with 100% success rate
• 30+ strategic input fields with intelligent auto-fill
• Real-time AI analysis and recommendations
• Multi-category strategy organization

✅ Advanced AI Integration

• Multiple AI providers (OpenAI, Google Gemini, Anthropic)
• Structured JSON output with retry mechanisms
• Field type normalization and validation
• Predictive analytics and optimization

✅ Modern Architecture

• FastAPI backend with modular services
• React frontend with Material-UI
• Multi-tenant authentication system
• Comprehensive API documentation

✅ Development Tools

• Hot reload for both frontend and backend
• Comprehensive error handling and logging
• Interactive API documentation
• Modular service architecture

---

📚 Additional Documentation

• API Documentation - Complete FastAPI backend documentation
• Enhanced Strategy Refactoring Plan - Module breakdown strategy
• ALwrity Vision - Comprehensive platform vision and roadmap
• README.md - Main project documentation

---

🎉 Setup Complete!

✅ The new ALwrity FastAPI + React architecture is ready for development and testing.

Key Features Available:

• AI-Powered Content Strategy Generation with 100% success rate
• Modular Backend Services for maintainability and scalability
• Modern React Frontend with Material-UI components
• Comprehensive API Documentation with interactive testing
• Multi-tenant Authentication system
• Advanced AI Integration with multiple providers

Next Steps:

1. Test the content strategy generation using the AI autofill feature
2. Explore the modular backend services and API endpoints
3. Configure API keys for different AI providers
4. Start developing new features using the established patterns
5. Review the refactoring plan for future module breakdown

🚀 Ready to build the ultimate AI-powered digital marketing platform!