Database Schema Designer
Run ID: 69ccd92c3e7fb09ff16a59da2026-04-01Development
PantheraHive BOS
BOS Dashboard

This deliverable provides comprehensive, detailed, and professional output for the "Database Schema Designer" workflow, specifically focusing on the generation of production-ready code. We will design a schema for a simplified e-commerce platform, including SQL DDL for database creation and an example ORM representation using Python with SQLAlchemy.


Database Schema Design Output: E-Commerce Platform

This output presents a robust and scalable database schema for a typical e-commerce application. It includes Data Definition Language (DDL) scripts for creating the database objects and an example of how this schema can be represented in an Object-Relational Mapping (ORM) framework, ensuring seamless integration with application logic.

1. Core Database Schema (SQL DDL)

The following SQL DDL is designed for a PostgreSQL database, a widely-used and feature-rich relational database system. It defines tables for users, products, categories, orders, and order items, establishing clear relationships and constraints.

sql • 7,973 chars
-- DDL for a simplified E-commerce Database Schema (PostgreSQL)

-- Drop tables if they exist to allow for clean re-creation (for development/testing)
-- In production, use ALTER TABLE statements for migrations.
DROP TABLE IF EXISTS "OrderItems" CASCADE;
DROP TABLE IF EXISTS "Orders" CASCADE;
DROP TABLE IF EXISTS "Products" CASCADE;
DROP TABLE IF EXISTS "Categories" CASCADE;
DROP TABLE IF EXISTS "Users" CASCADE;

-- 1. Users Table
-- Stores information about registered users of the e-commerce platform.
CREATE TABLE "Users" (
    user_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Unique identifier for the user (UUID for distributed systems)
    username VARCHAR(50) NOT NULL UNIQUE,              -- Unique username for login
    email VARCHAR(100) NOT NULL UNIQUE CHECK (email ~* '^[A-Za-z0-9._%-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,4}$'), -- User's email, must be unique and valid format
    password_hash VARCHAR(255) NOT NULL,                -- Hashed password for security
    first_name VARCHAR(50),
    last_name VARCHAR(50),
    address TEXT,                                       -- User's shipping/billing address
    phone_number VARCHAR(20),
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, -- Timestamp of user registration
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP  -- Timestamp of last update
);

-- Index for faster lookups by email and username
CREATE INDEX idx_users_email ON "Users" (email);
CREATE INDEX idx_users_username ON "Users" (username);

-- 2. Categories Table
-- Organizes products into different categories.
CREATE TABLE "Categories" (
    category_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Unique identifier for the category
    name VARCHAR(100) NOT NULL UNIQUE,                    -- Category name (e.g., "Electronics", "Books")
    description TEXT,                                     -- Detailed description of the category
    parent_category_id UUID,                              -- Self-referencing FK for hierarchical categories
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
    CONSTRAINT fk_parent_category
        FOREIGN KEY (parent_category_id)
        REFERENCES "Categories" (category_id)
        ON DELETE SET NULL -- If a parent category is deleted, child categories become top-level
);

-- Index for faster lookups by category name
CREATE INDEX idx_categories_name ON "Categories" (name);

-- 3. Products Table
-- Stores information about individual products available for sale.
CREATE TABLE "Products" (
    product_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Unique identifier for the product
    name VARCHAR(255) NOT NULL,                           -- Product name
    description TEXT,                                     -- Detailed product description
    price NUMERIC(10, 2) NOT NULL CHECK (price >= 0),     -- Product price, must be non-negative
    stock_quantity INT NOT NULL CHECK (stock_quantity >= 0), -- Current stock level, must be non-negative
    category_id UUID NOT NULL,                            -- Foreign key to Categories table
    image_url VARCHAR(255),                               -- URL for product image
    sku VARCHAR(50) UNIQUE,                               -- Stock Keeping Unit, unique identifier for inventory
    is_active BOOLEAN DEFAULT TRUE,                       -- Whether the product is currently active/available
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
    CONSTRAINT fk_category
        FOREIGN KEY (category_id)
        REFERENCES "Categories" (category_id)
        ON DELETE RESTRICT -- Prevent deleting a category if products are associated
);

-- Indexes for efficient searching and filtering
CREATE INDEX idx_products_name ON "Products" (name);
CREATE INDEX idx_products_category_id ON "Products" (category_id);
CREATE INDEX idx_products_price ON "Products" (price);
CREATE INDEX idx_products_sku ON "Products" (sku);

-- 4. Orders Table
-- Records customer orders.
CREATE TABLE "Orders" (
    order_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Unique identifier for the order
    user_id UUID NOT NULL,                              -- Foreign key to Users table (who placed the order)
    order_date TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, -- Date and time the order was placed
    total_amount NUMERIC(10, 2) NOT NULL CHECK (total_amount >= 0), -- Total amount of the order
    status VARCHAR(50) NOT NULL DEFAULT 'Pending' CHECK (status IN ('Pending', 'Processing', 'Shipped', 'Delivered', 'Cancelled')), -- Current status of the order
    shipping_address TEXT,                              -- Shipping address for the order (can be different from user's default)
    billing_address TEXT,                               -- Billing address for the order
    payment_method VARCHAR(50),                         -- e.g., "Credit Card", "PayPal"
    payment_status VARCHAR(50) DEFAULT 'Unpaid' CHECK (payment_status IN ('Unpaid', 'Paid', 'Refunded')), -- Payment status
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
    CONSTRAINT fk_user
        FOREIGN KEY (user_id)
        REFERENCES "Users" (user_id)
        ON DELETE CASCADE -- If a user is deleted, their orders are also deleted
);

-- Indexes for efficient order retrieval
CREATE INDEX idx_orders_user_id ON "Orders" (user_id);
CREATE INDEX idx_orders_order_date ON "Orders" (order_date);
CREATE INDEX idx_orders_status ON "Orders" (status);

-- 5. OrderItems Table
-- Junction table to store details of products within an order (many-to-many relationship between Orders and Products).
CREATE TABLE "OrderItems" (
    order_item_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Unique identifier for each item in an order
    order_id UUID NOT NULL,                                 -- Foreign key to Orders table
    product_id UUID NOT NULL,                               -- Foreign key to Products table
    quantity INT NOT NULL CHECK (quantity > 0),             -- Quantity of the product in this order item
    price_at_purchase NUMERIC(10, 2) NOT NULL CHECK (price_at_purchase >= 0), -- Price of the product at the time of purchase
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
    CONSTRAINT fk_order
        FOREIGN KEY (order_id)
        REFERENCES "Orders" (order_id)
        ON DELETE CASCADE, -- If an order is deleted, its items are also deleted
    CONSTRAINT fk_product
        FOREIGN KEY (product_id)
        REFERENCES "Products" (product_id)
        ON DELETE RESTRICT, -- Prevent deleting a product if it's part of existing orders
    UNIQUE (order_id, product_id) -- A product can only appear once per order
);

-- Indexes for fast access to order items
CREATE INDEX idx_orderitems_order_id ON "OrderItems" (order_id);
CREATE INDEX idx_orderitems_product_id ON "OrderItems" (product_id);

-- Trigger to update 'updated_at' column automatically
CREATE OR REPLACE FUNCTION update_timestamp()
RETURNS TRIGGER AS $$
BEGIN
    NEW.updated_at = CURRENT_TIMESTAMP;
    RETURN NEW;
END;
$$ LANGUAGE plpgsql;

-- Apply trigger to all tables that have 'updated_at'
CREATE TRIGGER update_users_timestamp
BEFORE UPDATE ON "Users"
FOR EACH ROW EXECUTE FUNCTION update_timestamp();

CREATE TRIGGER update_categories_timestamp
BEFORE UPDATE ON "Categories"
FOR EACH ROW EXECUTE FUNCTION update_timestamp();

CREATE TRIGGER update_products_timestamp
BEFORE UPDATE ON "Products"
FOR EACH ROW EXECUTE FUNCTION update_timestamp();

CREATE TRIGGER update_orders_timestamp
BEFORE UPDATE ON "Orders"
FOR EACH ROW EXECUTE FUNCTION update_timestamp();

CREATE TRIGGER update_orderitems_timestamp
BEFORE UPDATE ON "OrderItems"
FOR EACH ROW EXECUTE FUNCTION update_timestamp();
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Database Schema Designer: Comprehensive Study Plan

1. Introduction and Goal Setting

The role of a Database Schema Designer is critical in building robust, scalable, and efficient applications. This study plan is meticulously crafted to guide you through the fundamental and advanced concepts necessary to master database schema design.

  • Objective: To equip you with the theoretical knowledge and practical skills required to design efficient, scalable, and maintainable database schemas for various applications, ranging from small business systems to large-scale enterprise solutions.
  • Target Audience: This plan is ideal for aspiring database administrators, software developers, data engineers, system architects, and anyone seeking to deepen their expertise in data modeling and database design principles.
  • Expected Outcome: By the successful completion of this program, you will be proficient in analyzing business requirements, creating comprehensive conceptual, logical, and physical data models, applying normalization and denormalization strategies, optimizing schema designs for performance, and implementing robust database schemas using industry-standard tools and practices.

2. Overall Learning Objectives

Upon completing this study plan, you will be able to:

  • Understand Core Database Concepts: Grasp fundamental principles of database management systems, including the relational model, ACID properties, and the CAP theorem.
  • Master Data Modeling: Proficiently create conceptual (ERD), logical, and physical data models to represent complex business requirements.
  • Apply Normalization Theory: Effectively utilize normalization forms (1NF, 2NF, 3NF, BCNF, 4NF, 5NF) to eliminate data redundancy and improve data integrity, while also understanding strategic denormalization.
  • Design for Performance: Optimize schema designs for query performance, data retrieval, and scalability, including effective indexing strategies.
  • Implement Schema Designs: Translate data models into executable DDL (Data Definition Language) scripts for a chosen Relational Database Management System (RDBMS).
  • Ensure Data Integrity & Security: Design schemas that enforce referential integrity, apply appropriate constraints, and consider security implications.
  • Evaluate Database Technologies: Understand the basic principles of NoSQL schema design and identify appropriate use cases for different database paradigms (relational vs. NoSQL).
  • Document and Justify Designs: Clearly articulate design choices, trade-offs, and rationale to stakeholders and team members.

3. Weekly Study Schedule (10 Weeks)

This 10-week plan is structured to provide a balanced learning experience, combining theoretical understanding with practical application.

General Weekly Structure:

  • Days 1-4 (Mon-Thu): Focused learning of new topics through readings, video lectures, and theoretical exercises.
  • Day 5 (Fri): Hands-on application, practical exercises, and working on mini-projects related to the week's concepts.
  • Day 6 (Sat): Comprehensive review of the week's material, tackling challenging concepts, and catching up on any missed activities.
  • Day 7 (Sun): Rest, light review, or preparation for the upcoming week's topics.
  • Estimated Time Commitment: 10-15 hours per week, adjustable based on prior experience and learning pace.

Week-by-Week Breakdown:


Week 1: Fundamentals of Databases & Relational Model

  • Objectives: Understand the core purpose of databases, differentiate between database types, and grasp the foundational concepts of the relational model.
  • Topics: What is a database? RDBMS vs. NoSQL (overview), database architecture, relational model principles (tables, rows, columns), primary keys, foreign keys, candidate keys, super keys, unique keys, composite keys, ACID properties.
  • Activities: Set up a local RDBMS (e.g., PostgreSQL or MySQL). Explore sample databases. Practice identifying different types of keys in existing schemas.

Week 2: Introduction to SQL & Data Definition Language (DDL)

  • Objectives: Learn the basic syntax of SQL DDL commands and understand how to define data types and constraints.
  • Topics: CREATE DATABASE, CREATE TABLE, ALTER TABLE (add/modify/drop columns, constraints), DROP TABLE, TRUNCATE TABLE. Common SQL data types (INT, VARCHAR, DATE, BOOLEAN, DECIMAL). Table-level and column-level constraints (NOT NULL, UNIQUE, DEFAULT, CHECK).
  • Activities: Create a new database and a series of interconnected tables using DDL. Experiment with different data types and constraints.

Week 3: Conceptual Data Modeling (ERDs)

  • Objectives: Understand the purpose of conceptual modeling and master the creation of Entity-Relationship Diagrams (ERDs) to represent business entities and their relationships.
  • Topics: Entities, attributes (simple, composite, multi-valued, derived), relationships (one-to-one, one-to-many, many-to-many), cardinality and optionality notation (Crow's Foot, Chen), strong vs. weak entities, generalization/specialization.
  • Activities: Design ERDs for 3-5 different business scenarios (e.g., a simple library system, an online order system, a university course management). Utilize an ERD modeling tool.

Week 4: Logical Data Modeling & Normalization (1NF, 2NF, 3NF)

  • Objectives: Learn to translate conceptual ERDs into logical relational schemas and apply the first three normal forms to reduce data redundancy.
  • Topics: Functional dependencies, full functional dependency, transitive dependency. Data anomalies (insertion, deletion, update). Converting ERDs to relational tables. First Normal Form (1NF), Second Normal Form (2NF), Third Normal Form (3NF).
  • Activities: Take an unnormalized table and systematically normalize it to 3NF, explaining each step and identifying the functional dependencies.

2. Explanation of SQL Schema

This section elaborates on the design choices, data types, and relationships defined in the SQL DDL.

2.1. Table Definitions

  • Users:

* Stores core user information.

* user_id is a UUID for global uniqueness and ease of distributed system integration.

* username and email are UNIQUE and NOT NULL for user identification and login. Email also has a CHECK constraint for basic format validation.

* password_hash stores securely hashed passwords.

* created_at and updated_at timestamps are standard for auditing.

  • Categories:

* Organizes products into a hierarchical structure using parent_category_id (self-referencing foreign key).

* name is UNIQUE to avoid duplicate category names.

* ON DELETE SET NULL for fk_parent_category ensures that if a parent category is deleted, its child categories are not deleted but instead become top-level categories.

  • Products:

* Details individual products.

* price and stock_quantity are NUMERIC and INT respectively, with CHECK constraints to prevent negative values.

* category_id links products to their respective categories. ON DELETE RESTRICT prevents accidental deletion of categories that have associated products.

* sku (Stock Keeping Unit) is a common unique identifier for inventory management.

  • Orders:

* Records customer purchase orders.

* user_id links an order to the user who placed it. ON DELETE CASCADE means if a user account is deleted, all their associated orders are also removed.

* total_amount stores the sum of all items in the order.

* status and payment_status use CHECK constraints to enforce a predefined set of valid states, improving data integrity.

  • OrderItems:

* A junction table that resolves the many-to-many relationship between Orders and Products. An order can have many products, and a product can be part of many orders.

* order_id and product_id form a composite UNIQUE constraint to ensure a product appears only once per order.

* quantity and price_at_purchase capture the specific details of the product at the time it was added to the order. price_at_purchase is crucial as product prices can change over time.

2.2. Data Types and Constraints

  • UUID: Used for primary keys (user_id, product_id, etc.) for better scalability in distributed environments, avoiding sequential IDs that can lead to contention, and enhancing security by making IDs harder to guess. gen_random_uuid() is a PostgreSQL function for this.
  • VARCHAR(N): For strings with a maximum length (e.g., username, name).
  • TEXT: For longer strings where maximum length is not fixed (e.g., description, address).
  • NUMERIC(P, S): For precise decimal numbers, especially for currency (price, total_amount). P is precision (total digits), S is scale (digits after decimal point).
  • INT: For whole numbers (stock_quantity, quantity).
  • BOOLEAN: For true/false values (is_active).
  • TIMESTAMP WITH TIME ZONE: Stores date and time information, including time zone offset, which is crucial for applications operating across different geographical regions. CURRENT_TIMESTAMP provides the current time.
  • PRIMARY KEY: Ensures unique identification for each row and faster data retrieval.
  • FOREIGN KEY: Establishes relationships between tables and enforces referential integrity.

* ON DELETE CASCADE: Deletes child records when parent record is deleted.

* ON DELETE RESTRICT: Prevents deletion of parent record if child records exist.

* ON DELETE SET NULL: Sets foreign key to NULL if parent record is deleted.

  • NOT NULL: Ensures a column must contain a value.
  • UNIQUE: Ensures all values in a column (or set of columns) are distinct.
  • CHECK: Enforces domain integrity by ensuring column values meet specified conditions (e.g., price >= 0, status IN (...)).

2.3. Indexing Strategy

Indexes are created on frequently queried columns to improve read performance:

  • Primary keys are automatically indexed.
  • Foreign keys (e.g., category_id, user_id, order_id, product_id) are indexed to speed up join operations.
  • Columns used in WHERE clauses or ORDER BY clauses (e.g., email, username, name, order_date, status, price, sku) are also indexed.

2.4. updated_at Trigger

A PostgreSQL trigger update_timestamp is implemented to automatically update the updated_at column to the current timestamp whenever a row is modified in the Users, Categories, Products, Orders, or

gemini Output

As a professional AI assistant within PantheraHive, I am pleased to present the comprehensive and detailed output for the "Database Schema Designer" workflow, specifically for the review_and_document step. This document serves as the final deliverable, outlining the proposed database schema design, its rationale, and key considerations.


Database Schema Design Document: Customer Order Management System

Project: Customer Order Management System

Deliverable: Database Schema Design Documentation

Version: 1.0

Date: October 26, 2023


1. Executive Summary

This document details the proposed relational database schema design for the Customer Order Management System (COMS). The schema is engineered to support core functionalities including customer management, product catalog, order processing, and inventory tracking. Designed with a focus on data integrity, performance, scalability, and maintainability, this schema provides a robust foundation for the application. It adheres to best practices in relational database design, employing appropriate normalization levels and indexing strategies to ensure efficient data storage and retrieval.


2. Introduction

2.1. Purpose

The primary purpose of this document is to provide a complete and detailed specification of the database schema for the Customer Order Management System. It serves as a definitive guide for developers, database administrators, and stakeholders, ensuring a shared understanding of the data model that underpins the application. This design aims to meet current business requirements while providing flexibility for future growth and enhancements.

2.2. Scope

This schema design covers the following key business domains:

  • Customer Management: Storing and managing customer profiles and associated addresses.
  • Product Catalog: Organizing products, categories, and their attributes.
  • Order Processing: Handling order creation, itemization, status tracking, and payment information.
  • Inventory Management: Basic tracking of product stock levels.
  • User Management: Basic user authentication and authorization (for internal staff).

2.3. Design Principles

The database schema has been developed adhering to the following core principles:

  • Data Integrity: Enforced through primary keys, foreign keys, unique constraints, and appropriate data types to ensure data accuracy and consistency.
  • Normalization: Designed primarily to the 3rd Normal Form (3NF) to minimize data redundancy and improve update efficiency, with strategic denormalization considered for performance where justified.
  • Performance: Optimized through strategic indexing, efficient data types, and consideration for common query patterns.
  • Scalability: Structured to accommodate growth in data volume and user concurrency without significant architectural redesign.
  • Maintainability: Clear naming conventions, descriptive comments, and modular design to facilitate ease of understanding, modification, and troubleshooting.
  • Security: Foundations for access control and data protection are considered in the design.

3. Database Architecture Overview

3.1. High-Level Entity-Relationship Description

The COMS database schema is a relational model consisting of several interconnected entities. The core entities include:

  • Users: Internal system users (e.g., administrators, order processors).
  • Customers: External individuals or organizations placing orders.
  • Addresses: Generic address entity linked to both Customers (billing/shipping defaults) and Orders (specific shipping address for an order).
  • Categories: Hierarchical organization for Products.
  • Products: Items available for purchase, linked to Categories and having inventory.
  • Orders: Represents a single customer transaction, linking to Customers and a specific shipping Address.
  • OrderItems: Details of products within an Order, including quantity and price at time of order.
  • Payments: Records payment transactions associated with Orders.

3.2. Technology Stack Assumption

This schema design is agnostic to a specific relational database management system (RDBMS) but is highly compatible with popular choices such as PostgreSQL, MySQL, SQL Server, or Oracle. Data types are specified in a generic manner, with common equivalents available across these platforms.


4. Detailed Schema Design

This section provides a detailed breakdown of each table, including its purpose, columns, data types, constraints, and relationships.

4.1. Table Definitions

4.1.1. users Table

  • Purpose: Stores information about internal system users with access to the COMS backend.
  • Columns:

* user_id (PK, INT): Unique identifier for the user.

* username (VARCHAR(50), UNIQUE, NOT NULL): User's login username.

* password_hash (VARCHAR(255), NOT NULL): Hashed password for security.

* email (VARCHAR(100), UNIQUE, NOT NULL): User's email address.

* first_name (VARCHAR(50)): User's first name.

* last_name (VARCHAR(50)): User's last name.

* role (VARCHAR(20), DEFAULT 'staff', NOT NULL): User's role (e.g., 'admin', 'staff', 'viewer').

* is_active (BOOLEAN, DEFAULT TRUE, NOT NULL): Indicates if the user account is active.

* created_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP, NOT NULL): Timestamp of account creation.

* updated_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, NOT NULL): Last update timestamp.

4.1.2. customers Table

  • Purpose: Stores information about registered customers.
  • Columns:

* customer_id (PK, INT): Unique identifier for the customer.

* first_name (VARCHAR(50), NOT NULL): Customer's first name.

* last_name (VARCHAR(50), NOT NULL): Customer's last name.

* email (VARCHAR(100), UNIQUE, NOT NULL): Customer's email address (used for login/communication).

* phone_number (VARCHAR(20)): Customer's phone number.

* password_hash (VARCHAR(255), NOT NULL): Hashed password for customer login.

* default_shipping_address_id (FK, INT, REFERENCES addresses): Default shipping address.

* default_billing_address_id (FK, INT, REFERENCES addresses): Default billing address.

* created_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP, NOT NULL): Timestamp of customer registration.

* updated_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, NOT NULL): Last update timestamp.

4.1.3. addresses Table

  • Purpose: Stores physical address details, reusable for customers and orders.
  • Columns:

* address_id (PK, INT): Unique identifier for the address.

* customer_id (FK, INT, REFERENCES customers): Optional, links address to a customer (if it's a customer's stored address).

* address_line1 (VARCHAR(100), NOT NULL): First line of the address.

* address_line2 (VARCHAR(100)): Second line of the address (optional).

* city (VARCHAR(50), NOT NULL): City.

* state_province (VARCHAR(50), NOT NULL): State or Province.

* postal_code (VARCHAR(20), NOT NULL): Postal or Zip code.

* country (VARCHAR(50), NOT NULL): Country.

* address_type (VARCHAR(20)): E.g., 'shipping', 'billing', 'home', 'work'.

* created_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP, NOT NULL): Timestamp of address creation.

4.1.4. categories Table

  • Purpose: Organizes products into logical categories, supporting hierarchical structures.
  • Columns:

* category_id (PK, INT): Unique identifier for the category.

* name (VARCHAR(100), UNIQUE, NOT NULL): Name of the category.

* description (TEXT): Description of the category.

* parent_category_id (FK, INT, REFERENCES categories): Self-referencing foreign key for hierarchical categories.

* created_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP, NOT NULL): Timestamp of category creation.

* updated_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, NOT NULL): Last update timestamp.

4.1.5. products Table

  • Purpose: Stores information about individual products available for sale.
  • Columns:

* product_id (PK, INT): Unique identifier for the product.

* category_id (FK, INT, REFERENCES categories, NOT NULL): Category the product belongs to.

* name (VARCHAR(255), UNIQUE, NOT NULL): Product name.

* description (TEXT): Detailed product description.

* sku (VARCHAR(50), UNIQUE, NOT NULL): Stock Keeping Unit, unique product code.

* price (DECIMAL(10, 2), NOT NULL): Current selling price of the product.

* stock_quantity (INT, DEFAULT 0, NOT NULL): Current available stock quantity.

* weight (DECIMAL(10, 2)): Product weight (for shipping calculation).

* image_url (VARCHAR(255)): URL to product image.

* is_active (BOOLEAN, DEFAULT TRUE, NOT NULL): Indicates if the product is available for sale.

* created_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP, NOT NULL): Timestamp of product creation.

* updated_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, NOT NULL): Last update timestamp.

4.1.6. orders Table

  • Purpose: Represents a customer's order transaction.
  • Columns:

* order_id (PK, INT): Unique identifier for the order.

* customer_id (FK, INT, REFERENCES customers, NOT NULL): Customer who placed the order.

* order_date (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP, NOT NULL): Date and time the order was placed.

* total_amount (DECIMAL(10, 2), NOT NULL): Total amount of the order, including shipping and taxes.

* order_status (VARCHAR(50), DEFAULT 'pending', NOT NULL): Current status of the order (e.g., 'pending', 'processing', 'shipped', 'delivered', 'cancelled').

* shipping_address_id (FK, INT, REFERENCES addresses, NOT NULL): The specific shipping address for this order.

* billing_address_id (FK, INT, REFERENCES addresses, NOT NULL): The specific billing address for this order.

* shipping_cost (DECIMAL(10, 2), DEFAULT 0.00, NOT NULL): Cost of shipping for this order.

* tax_amount (DECIMAL(10, 2), DEFAULT 0.00, NOT NULL): Total tax amount for this order.

* payment_status (VARCHAR(50), DEFAULT 'pending', NOT NULL): Status of payment for the order (e.g., 'pending', 'paid', 'refunded', 'failed').

* notes (TEXT): Any special notes or instructions for the order.

* updated_at (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, NOT NULL): Last update timestamp.

4.1.7. order_items Table

  • Purpose: Stores details of each product included in an order.
  • Columns:

* order_item_id (PK, INT): Unique identifier for the order item.

* order_id (FK, INT, REFERENCES orders, NOT NULL): The order this item belongs to.

* product_id (FK, INT, REFERENCES products, NOT NULL): The product included in the order.

* quantity (INT, NOT NULL): Quantity of the product ordered.

* unit_price (DECIMAL(10, 2), NOT NULL): Price of the product at the time of order (historical price).

subtotal (DECIMAL(10, 2), NOT NULL): quantity unit_price.

* Composite UNIQUE Constraint: (order_id, product_id) to prevent duplicate products in an order.

4.1.8. payments Table

  • Purpose: Records payment transactions for orders.
  • Columns:

* payment_id (PK, INT): Unique identifier for the payment.

* order_id (FK, INT, REFERENCES orders, NOT NULL): The order this payment is for.

* payment_date (TIMESTAMP, DEFAULT CURRENT_TIMESTAMP, NOT NULL): Date and time of the payment.

* amount (DECIMAL(10, 2), NOT NULL): Amount of the payment.

* payment_method (VARCHAR(50), NOT NULL): E.g., 'credit_card', 'paypal', 'bank_transfer'.

* transaction_id (VARCHAR(255), UNIQUE, NOT NULL): Unique transaction ID from the payment gateway.

* payment_status (VARCHAR(50), NOT NULL): Status of the payment (e.g.,

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"+slugTitle(pn)+"

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) } export default App "); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e} .app{min-height:100vh;display:flex;flex-direction:column} .app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px} h1{font-size:2.5rem;font-weight:700} "); zip.file(folder+"src/App.css",""); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/pages/.gitkeep",""); zip.file(folder+"src/hooks/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install npm run dev ``` ## Build ```bash npm run build ``` ## Open in IDE Open the project folder in VS Code or WebStorm. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local "); } /* --- Vue (Vite + Composition API + TypeScript) --- */ function buildVue(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{ "name": "'+pn+'", "version": "0.0.0", "type": "module", "scripts": { "dev": "vite", "build": "vue-tsc -b && vite build", "preview": "vite preview" }, "dependencies": { "vue": "^3.5.13", "vue-router": "^4.4.5", "pinia": "^2.3.0", "axios": "^1.7.9" }, "devDependencies": { "@vitejs/plugin-vue": "^5.2.1", "typescript": "~5.7.3", "vite": "^6.0.5", "vue-tsc": "^2.2.0" } } '); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite' import vue from '@vitejs/plugin-vue' import { resolve } from 'path' export default defineConfig({ plugins: [vue()], resolve: { alias: { '@': resolve(__dirname,'src') } } }) "); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]} '); zip.file(folder+"tsconfig.app.json",'{ "compilerOptions":{ "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"], "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true, "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue", "strict":true,"paths":{"@/*":["./src/*"]} }, "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"] } '); zip.file(folder+"env.d.ts","/// "); zip.file(folder+"index.html"," "+slugTitle(pn)+"
"); var hasMain=Object.keys(extracted).some(function(k){return k==="src/main.ts"||k==="main.ts";}); if(!hasMain) zip.file(folder+"src/main.ts","import { createApp } from 'vue' import { createPinia } from 'pinia' import App from './App.vue' import './assets/main.css' const app = createApp(App) app.use(createPinia()) app.mount('#app') "); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue"," "); zip.file(folder+"src/assets/main.css","*{margin:0;padding:0;box-sizing:border-box}body{font-family:system-ui,sans-serif;background:#fff;color:#213547} "); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/views/.gitkeep",""); zip.file(folder+"src/stores/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install npm run dev ``` ## Build ```bash npm run build ``` Open in VS Code or WebStorm. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local "); } /* --- Angular (v19 standalone) --- */ function buildAngular(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var sel=pn.replace(/_/g,"-"); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{ "name": "'+pn+'", "version": "0.0.0", "scripts": { "ng": "ng", "start": "ng serve", "build": "ng build", "test": "ng test" }, "dependencies": { "@angular/animations": "^19.0.0", "@angular/common": "^19.0.0", "@angular/compiler": "^19.0.0", "@angular/core": "^19.0.0", "@angular/forms": "^19.0.0", "@angular/platform-browser": "^19.0.0", "@angular/platform-browser-dynamic": "^19.0.0", "@angular/router": "^19.0.0", "rxjs": "~7.8.0", "tslib": "^2.3.0", "zone.js": "~0.15.0" }, "devDependencies": { "@angular-devkit/build-angular": "^19.0.0", "@angular/cli": "^19.0.0", "@angular/compiler-cli": "^19.0.0", "typescript": "~5.6.0" } } '); zip.file(folder+"angular.json",'{ "$schema": "./node_modules/@angular/cli/lib/config/schema.json", "version": 1, "newProjectRoot": "projects", "projects": { "'+pn+'": { "projectType": "application", "root": "", "sourceRoot": "src", "prefix": "app", "architect": { "build": { "builder": "@angular-devkit/build-angular:application", "options": { "outputPath": "dist/'+pn+'", "index": "src/index.html", "browser": "src/main.ts", "tsConfig": "tsconfig.app.json", "styles": ["src/styles.css"], "scripts": [] } }, "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"} } } } } '); zip.file(folder+"tsconfig.json",'{ "compileOnSave": false, "compilerOptions": {"baseUrl":"./","outDir":"./dist/out-tsc","forceConsistentCasingInFileNames":true,"strict":true,"noImplicitOverride":true,"noPropertyAccessFromIndexSignature":true,"noImplicitReturns":true,"noFallthroughCasesInSwitch":true,"paths":{"@/*":["src/*"]},"skipLibCheck":true,"esModuleInterop":true,"sourceMap":true,"declaration":false,"experimentalDecorators":true,"moduleResolution":"bundler","importHelpers":true,"target":"ES2022","module":"ES2022","useDefineForClassFields":false,"lib":["ES2022","dom"]}, "references":[{"path":"./tsconfig.app.json"}] } '); zip.file(folder+"tsconfig.app.json",'{ "extends":"./tsconfig.json", "compilerOptions":{"outDir":"./dist/out-tsc","types":[]}, "files":["src/main.ts"], "include":["src/**/*.d.ts"] } '); zip.file(folder+"src/index.html"," "+slugTitle(pn)+" "); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser'; import { appConfig } from './app/app.config'; import { AppComponent } from './app/app.component'; bootstrapApplication(AppComponent, appConfig) .catch(err => console.error(err)); "); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; } body { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; } "); var hasComp=Object.keys(extracted).some(function(k){return k.indexOf("app.component")>=0;}); if(!hasComp){ zip.file(folder+"src/app/app.component.ts","import { Component } from '@angular/core'; import { RouterOutlet } from '@angular/router'; @Component({ selector: 'app-root', standalone: true, imports: [RouterOutlet], templateUrl: './app.component.html', styleUrl: './app.component.css' }) export class AppComponent { title = '"+pn+"'; } "); zip.file(folder+"src/app/app.component.html","

"+slugTitle(pn)+"

Built with PantheraHive BOS

"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1} "); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core'; import { provideRouter } from '@angular/router'; import { routes } from './app.routes'; export const appConfig: ApplicationConfig = { providers: [ provideZoneChangeDetection({ eventCoalescing: true }), provideRouter(routes) ] }; "); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router'; export const routes: Routes = []; "); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+" Generated by PantheraHive BOS. ## Setup ```bash npm install ng serve # or: npm start ``` ## Build ```bash ng build ``` Open in VS Code with Angular Language Service extension. "); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local .angular/ "); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join(" "):"# add dependencies here "; zip.file(folder+"main.py",src||"# "+title+" # Generated by PantheraHive BOS print(title+" loaded") "); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt ``` ## Run ```bash python main.py ``` "); zip.file(folder+".gitignore",".venv/ __pycache__/ *.pyc .env .DS_Store "); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+" "; zip.file(folder+"package.json",pkgJson); var fallback="const express=require("express"); const app=express(); app.use(express.json()); app.get("/",(req,res)=>{ res.json({message:""+title+" API"}); }); const PORT=process.env.PORT||3000; app.listen(PORT,()=>console.log("Server on port "+PORT)); "; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000 "); zip.file(folder+".gitignore","node_modules/ .env .DS_Store "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash npm install ``` ## Run ```bash npm run dev ``` "); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:" "+title+" "+code+" "; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */ *{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e} "); zip.file(folder+"script.js","/* "+title+" — scripts */ "); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Open Double-click `index.html` in your browser. Or serve locally: ```bash npx serve . # or python3 -m http.server 3000 ``` "); zip.file(folder+".gitignore",".DS_Store node_modules/ .env "); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/**(.+?)**/g,"$1"); hc=hc.replace(/ {2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. Files: - "+app+".md (Markdown) - "+app+".html (styled HTML) "); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); }function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}