database_demo.py

#!/usr/bin/env python3
"""
Enhanced Database Tool Demo
Shows all the new table-based functionality and intelligent search capabilities.
"""

import asyncio
import json


# Simulate the database tool interface for demo
async def simulate_database_queries():
    """Demonstrate all the enhanced database operations."""
    
    print("🎯 Enhanced Database Tool - Complete Demo")
    print("=" * 50)
    
    queries = [
        # Table management
        ("list_tables", "📋 List all existing tables"),
        ("create_table products", "🆕 Create a new 'products' table"),
        ("list_tables", "📋 List tables after creation"),
        
        # Data retrieval 
        ("get users", "👥 Get entire users table"),
        ("get users 1", "👤 Get specific user by ID"),
        ("get sales 2", "💰 Get specific sales record"),
        
        # Data insertion
        ("set products 1 {\"name\": \"Laptop\", \"price\": 999.99, \"category\": \"electronics\"}", "💻 Add laptop to products"),
        ("set products 2 {\"name\": \"Book\", \"price\": 19.99, \"category\": \"books\"}", "📚 Add book to products"),
        ("set users 4 {\"name\": \"Alice Cooper\", \"email\": \"alice@example.com\", \"role\": \"manager\", \"department\": \"hr\"}", "👩‍💼 Add new user"),
        
        # Listing operations
        ("list", "📄 List all records across all tables"),
        ("list users", "👥 List only user records"),
        ("list products", "🛍️ List only product records"),
        
        # Intelligent search operations
        ("search admin", "🔍 Smart search for 'admin' across all tables"),
        ("search sales target", "🎯 Search for 'target' in sales context"),
        ("search @example.com", "📧 Search for email addresses"),
        ("search laptop", "💻 Search for specific product"),
        
        # Targeted search
        ("search users department", "🏢 Search for 'department' in users table"),
        ("search sales region", "🗺️ Search for 'region' in sales table"),
        
        # Database statistics
        ("stats", "📊 Get comprehensive database statistics"),
        
        # Deletion operations
        ("delete products 2", "🗑️ Delete specific product"),
        ("delete products", "🗑️ Delete entire products table"),
    ]
    
    for i, (query, description) in enumerate(queries, 1):
        print(f"\n{i:2d}. {description}")
        print(f"    Query: `{query}`")
        
        # Simulate response based on query type
        if query.startswith("list_tables"):
            if "products" in query or i > 3:
                result = "['users', 'admin', 'sales', 'products']"
            else:
                result = "['users', 'admin', 'sales']"
            print(f"    Result: {result}")
            
        elif query.startswith("create_table"):
            print(f"    Result: Table created successfully ✅")
            
        elif query.startswith("get users") and not query.endswith("1"):
            print(f"    Result: Retrieved 3 user records")
            
        elif query.startswith("get"):
            parts = query.split()
            table, record_id = parts[1], parts[2] if len(parts) > 2 else "all"
            print(f"    Result: Retrieved {table} record {record_id} ✅")
            
        elif query.startswith("set"):
            print(f"    Result: Record saved successfully ✅")
            
        elif query.startswith("list"):
            parts = query.split()
            if len(parts) == 1:
                print(f"    Result: Found 8 total records across all tables")
            else:
                table = parts[1]
                counts = {"users": 4, "products": 2, "sales": 3, "admin": 2}
                print(f"    Result: Found {counts.get(table, 0)} records in {table} table")
                
        elif query.startswith("search"):
            # Simulate intelligent search results
            search_term = " ".join(query.split()[1:])
            
            search_scenarios = {
                "admin": ("Found 2 results in admin table", ["admin"]),
                "sales target": ("Found 3 results in sales table", ["sales"]),
                "@example.com": ("Found 8 results across all tables", ["users", "admin", "sales"]),
                "laptop": ("Found 1 result in products table", ["products"]),
                "users department": ("Found 4 results in users table", ["users"]),
                "sales region": ("Found 3 results in sales table", ["sales"])
            }
            
            if search_term in search_scenarios:
                result_text, likely_tables = search_scenarios[search_term]
                print(f"    Result: {result_text}")
                print(f"    Smart inference: Likely tables {likely_tables} ✅")
            else:
                print(f"    Result: Search completed for '{search_term}'")
                
        elif query == "stats":
            print(f"    Result: 4 tables, 8 total records, cache utilization details ✅")
            
        elif query.startswith("delete"):
            print(f"    Result: Deletion completed successfully ✅")
        
        # Add a small delay for better readability
        await asyncio.sleep(0.1)
    
    print(f"\n🎉 Demo completed! The enhanced database tool now supports:")
    print(f"   ✅ Multiple tables (users, admin, sales)")
    print(f"   ✅ Table creation and management")
    print(f"   ✅ Intelligent search with table inference")
    print(f"   ✅ Targeted operations per table")
    print(f"   ✅ Smart context-aware search")
    print(f"   ✅ Comprehensive statistics and monitoring")


# Usage examples for developers
def show_usage_examples():
    """Show practical usage examples."""
    
    print(f"\n📖 Practical Usage Examples:")
    print(f"=" * 30)
    
    examples = {
        "Create Tables": [
            "create_table customers",
            "create_table orders", 
            "create_table inventory"
        ],
        "Insert Data": [
            "set customers 1 {\"name\": \"John\", \"email\": \"john@corp.com\"}",
            "set orders 1 {\"customer_id\": 1, \"total\": 299.99, \"status\": \"pending\"}",
            "set inventory 1 {\"product\": \"Widget\", \"stock\": 150}"
        ],
        "Query Data": [
            "get customers 1",
            "get orders",
            "list customers"
        ],
        "Smart Search": [
            "search pending",  # Will find orders
            "search @corp.com",  # Will find customers
            "search stock",  # Will find inventory
        ],
        "Database Admin": [
            "stats",
            "list_tables", 
            "delete orders 1"
        ]
    }
    
    for category, queries in examples.items():
        print(f"\n{category}:")
        for query in queries:
            print(f"  • {query}")


if __name__ == "__main__":
    asyncio.run(simulate_database_queries())
    show_usage_examples()