Srini c360 fashion retail demo

.data/c360-fashion-retail/README.md

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+# C360 Retail Fashion Database Setup
+
+Complete standalone database setup for the C360 Retail Fashion analytics platform.
+
+## 🚀 Quick Start
+
+### Prerequisites
+- Docker and Docker Compose installed
+- At least 4GB available RAM
+- Port 5433 and 8080 available (connects to existing axiomretailfashion_postgres)
+
+### 1. Start the Database
+```bash
+cd .data/c360-retail-fashion
+docker-compose up -d
+```
+
+This will:
+- ✅ Connect to existing PostgreSQL database on port `5433` (axiomretailfashion_postgres)
+- ✅ Reference the `retail_fashion` database with complete schema and data
+- ✅ Start PgAdmin web interface on port `8080`
+
+### 2. Access the Database
+
+**Direct PostgreSQL Connection:**
+```bash
+# Connect via psql (to existing database)
+psql -h localhost -p 5433 -U postgres -d retail_fashion
+
+# Connection details:
+Host: localhost
+Port: 5433
+Database: retail_fashion
+Username: postgres
+Password: hbGciOiJIUzI1NiIsInR5cCI6IkpX (from existing setup)
+```
+
+**Web Interface (PgAdmin):**
+- URL: http://localhost:8080
+- Email: [email protected]
+- Password: admin
+
+## 📊 Database Contents
+
+### Core Tables (with data)
+- `brands` - Fashion brands (30-50 records)
+- `categories` - Product categories with hierarchy
+- `products` - Product catalog (500-1000 products)
+- `product_variants` - Size/color variants (3k-6k records)
+- `customers` - Customer profiles (50,000 customers)
+- `customer_addresses` - Customer shipping addresses
+- `orders` - Order transactions (120k-150k orders)
+- `order_items` - Line items for orders
+- `returns` - Return requests and processing
+- `return_items` - Individual returned items
+- `reviews` - Product reviews with ratings
+- `social_mentions` - Social media interactions
+- `website_sessions` - Web analytics sessions
+- `style_similarity_matches` - ML recommendation data
+
+### Analytics Views
+```sql
+-- View table row counts
+SELECT * FROM table_row_counts;
+
+-- Sample queries
+SELECT COUNT(*) FROM customers WHERE account_status = 'active';
+SELECT brand, COUNT(*) FROM products GROUP BY brand ORDER BY count DESC;
+SELECT * FROM style_similarity_matches LIMIT 10;
+```
+
+## 🔄 Data Generation
+
+### Generate Fresh Data
+```bash
+# Generate new dataset (optional)
+cd .data/c360-retail-fashion
+python3 generate_complete_dataset.py
+
+# Restart database to load new data
+docker-compose down
+docker-compose up -d
+```
+
+### Manual Data Loading
+```bash
+# If you need to reload data manually
+docker exec -i axiomretailfashion_postgres psql -U postgres -d retail_fashion < sql/load_data.sql
+```
+
+## 🛠️ Customization
+
+### Change Database Credentials
+Edit `compose.yaml`:
+```yaml
+environment:
+  POSTGRES_DB: your_database_name
+  POSTGRES_USER: your_username
+  POSTGRES_PASSWORD: your_password
+```
+
+### Add Custom Tables
+1. Add schema to `sql/schema.sql`
+2. Add data loading to `sql/load_data.sql`
+3. Restart: `docker-compose down && docker-compose up -d`
+
+### External Database Server
+Use the SQL files with any PostgreSQL server:
+```bash
+# On your PostgreSQL server
+createdb retail_fashion
+psql -d retail_fashion -f sql/schema.sql
+psql -d retail_fashion -f sql/load_data.sql
+```
+
+## 📁 File Structure
+```
+.data/c360-retail-fashion/
+├── compose.yaml              # Docker Compose setup
+├── sql/
+│   ├── schema.sql            # Complete database schema
+│   └── load_data.sql         # Data loading script
+├── postgres/                 # CSV data files
+│   ├── brands.csv
+│   ├── customers.csv
+│   ├── products.csv
+│   └── ... (all data files)
+├── generate_complete_dataset.py  # Data generator
+└── README.md                 # This file
+```
+
+## 🔧 Troubleshooting
+
+### Database Won't Start
+```bash
+# Check if port 5433 is available
+lsof -i :5433
+
+# View logs
+docker-compose logs postgres
+```
+
+### Data Loading Issues
+```bash
+# Check data loading logs
+docker-compose logs postgres | grep COPY
+
+# Manual verification
+docker exec -it axiomretailfashion_postgres psql -U postgres -d retail_fashion -c "SELECT * FROM table_row_counts;"
+```
+
+### Reset Everything
+```bash
+# Complete reset
+docker-compose down -v  # Removes volumes
+docker-compose up -d    # Fresh start
+```
+
+## 📈 Performance Optimization
+
+The database includes optimized indexes:
+- Product searches: `brand`, `category_l1`
+- Customer lookups: `email`
+- Order queries: `customer_id`, `order_date`
+- Analytics: `style_similarity_matches` indexes
+- Review analysis: `customer_id`, `product_id`
+
+## 🔐 Security Notes
+
+**⚠️ This is a development setup with default credentials!**
+
+For production:
+1. Change all default passwords
+2. Use environment variables for credentials
+3. Enable SSL/TLS connections
+4. Restrict network access
+5. Regular backups
+
+## 💾 Backup & Restore
+
+### Backup
+```bash
+# Full database backup
+docker exec axiomretailfashion_postgres pg_dump -U postgres retail_fashion > backup.sql
+
+# Data-only backup
+docker exec axiomretailfashion_postgres pg_dump -U postgres --data-only retail_fashion > data_backup.sql
+```
+
+### Restore
+```bash
+# Restore from backup
+docker exec -i axiomretailfashion_postgres psql -U postgres retail_fashion < backup.sql
+```
+
+## 📞 Support
+
+This database setup provides a complete C360 retail analytics platform with:
+- ✅ 28 tables with proper relationships
+- ✅ 700k+ total records across all tables
+- ✅ ML recommendation system data
+- ✅ Complete customer journey tracking
+- ✅ Social media and web analytics
+- ✅ Returns and review management
+
+Perfect for development, testing, demos, and analytics experimentation!

.data/c360-fashion-retail/compose.yaml

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+version: '3.8'
+
+services:
+  postgres:
+    image: postgres:15
+    container_name: axiomretailfashion_postgres
+    environment:
+      POSTGRES_DB: retail_fashion
+      PGUSER: postgres
+      POSTGRES_USER: postgres
+      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
+    ports:
+      - "5433:5432"
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+      - ./postgres:/docker-entrypoint-initdb.d
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U postgres"]
+      interval: 5s
+      timeout: 5s
+      retries: 5
+
+
+volumes:
+  postgres_data: