Database Schema Designer
Run ID: 69ccf5343e7fb09ff16a69d42026-04-01Development
PantheraHive BOS
BOS Dashboard

As a professional AI assistant within PantheraHive, I am pleased to present the detailed study plan for the "Database Schema Designer" workflow. This comprehensive plan is designed to equip you with the foundational knowledge and practical skills required to excel in database schema design, ensuring robust, efficient, and scalable database solutions.


Database Schema Designer: Detailed Study Plan

1. Introduction and Overall Goal

This study plan outlines a structured approach to mastering the art and science of database schema design. The role of a Database Schema Designer is critical in ensuring data integrity, optimal performance, and scalability of applications. This plan is tailored for individuals aiming to develop expertise in conceptual, logical, and physical database design, covering relational models, normalization, indexing, and modern database technologies.

Overall Goal: To develop a highly proficient Database Schema Designer capable of designing, optimizing, and maintaining efficient, scalable, and secure database schemas for various application requirements.

2. Learning Objectives

Upon successful completion of this study plan, you will be able to:

Foundational Knowledge & Principles:

  • Understand Database Concepts: Articulate the fundamental concepts of database systems, including data models (relational, NoSQL), ACID properties, and transaction management.
  • Master Relational Algebra & SQL: Proficiently write complex SQL queries for data manipulation (DML) and data definition (DDL), including advanced joins, subqueries, and window functions.
  • Apply Normalization Principles: Design and normalize relational schemas up to BCNF (Boyce-Codd Normal Form) to minimize data redundancy and improve data integrity.

Design & Modeling Skills:

  • Create Entity-Relationship Diagrams (ERDs): Model complex business requirements into clear and accurate conceptual and logical ERDs.
  • Translate ERDs to Relational Schemas: Convert logical ERDs into optimized physical relational schemas, considering data types, constraints, and indexing strategies.
  • Design for Performance: Identify and implement appropriate indexing strategies, partitioning, and denormalization techniques to optimize query performance for specific workloads.
  • Ensure Data Integrity: Implement various constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, NOT NULL) to maintain data consistency and integrity.

Advanced Concepts & Tools:

  • Understand NoSQL Databases: Differentiate between various NoSQL database types (document, key-value, column-family, graph) and identify use cases where they are more suitable than relational databases.
  • Utilize Schema Design Tools: Effectively use database modeling tools (e.g., ER/Studio, Lucidchart, dbdiagram.io) for designing and documenting schemas.
  • Implement Security Best Practices: Design schemas with security in mind, including access control, encryption considerations, and auditing mechanisms.
  • Version Control Schemas: Understand and apply best practices for version controlling database schemas using tools like Git.

3. Weekly Schedule

This is an intensive 12-week schedule, assuming approximately 10-15 hours of study per week, including reading, exercises, and project work.


Week 1: Introduction to Databases & Relational Model

  • Topics: Database systems overview, types of databases (RDBMS vs. NoSQL), data independence, ACID properties, Relational Model (tables, attributes, tuples, domains, keys).
  • Activities: Read foundational chapters, install a local RDBMS (e.g., PostgreSQL, MySQL), basic SQL DDL commands (CREATE TABLE, ALTER TABLE).
  • Deliverable: Set up a local database environment.

Week 2: SQL Fundamentals - DDL & DML

  • Topics: SQL syntax for DDL (CREATE, ALTER, DROP), DML (SELECT, INSERT, UPDATE, DELETE), basic WHERE clauses, ORDER BY, GROUP BY, HAVING.
  • Activities: Practice basic SQL queries on a sample dataset, complete SQL exercises.
  • Deliverable: Solve 20+ basic SQL problems.

Week 3: Advanced SQL - Joins & Subqueries

  • Topics: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, CROSS JOIN, UNION, INTERSECT, EXCEPT, subqueries (correlated and non-correlated).
  • Activities: Work through complex join scenarios, write and optimize subqueries.
  • Deliverable: Design and query a multi-table database with various join types.

Week 4: Entity-Relationship (ER) Modeling - Conceptual Design

  • Topics: Introduction to ER modeling, entities, attributes, relationships (one-to-one, one-to-many, many-to-many), cardinality, participation constraints, strong vs. weak entities.
  • Activities: Practice drawing ERDs for simple business scenarios using a modeling tool.
  • Deliverable: Create an ERD for a small e-commerce or library system.

Week 5: Relational Schema Design & Normalization (Part 1)

  • Topics: Translating ERDs to relational schemas, functional dependencies, 1NF, 2NF, 3NF.
  • Activities: Convert conceptual ERDs into logical relational schemas, normalize tables to 3NF.
  • Deliverable: Normalize a given denormalized schema to 3NF.

Week 6: Normalization (Part 2) & Denormalization

  • Topics: BCNF (Boyce-Codd Normal Form), 4NF, 5NF, practical considerations for denormalization (when and why).
  • Activities: Identify and fix BCNF violations, analyze scenarios for strategic denormalization.
  • Deliverable: Justify denormalization choices for a given performance requirement.

Week 7: Data Integrity & Constraints

  • Topics: PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, NOT NULL constraints, triggers, stored procedures, views.
  • Activities: Implement various constraints in a sample database, write simple triggers and stored procedures.
  • Deliverable: Implement a database schema with comprehensive data integrity constraints.

Week 8: Indexing & Performance Optimization

  • Topics: B-tree indexes, clustered vs. non-clustered indexes, composite indexes, index selectivity, query execution plans, database statistics.
  • Activities: Analyze query performance using EXPLAIN (or similar), create and test different index types.
  • Deliverable: Optimize a set of slow queries using appropriate indexing strategies.

Week 9: Advanced Schema Design Concepts

  • Topics: Partitioning (horizontal, vertical), sharding, schema evolution, versioning, temporal databases.
  • Activities: Research partitioning strategies for large datasets, understand schema migration tools.
  • Deliverable: Propose a sharding strategy for a high-traffic application.

Week 10: Introduction to NoSQL Schema Design

  • Topics: Document databases (MongoDB), Key-Value stores (Redis), Column-Family stores (Cassandra), Graph databases (Neo4j), use cases for each.
  • Activities: Explore a NoSQL database, understand its data model and schema design principles.
  • Deliverable: Design a schema for a social media feed using a document database.

Week 11: Security & Best Practices in Schema Design

  • Topics: Access control (roles, permissions), encryption at rest/in transit, auditing, data masking, GDPR/HIPAA compliance considerations.
  • Activities: Design a secure schema with appropriate access controls.
  • Deliverable: Outline security considerations and mitigations for a confidential data schema.

Week 12: Capstone Project & Review

  • Topics: Comprehensive application of all learned concepts.
  • Activities: Design a complete database schema for a complex real-world application from scratch (e.g., an online learning platform, a healthcare management system).
  • Deliverable: Present a fully documented database schema (ERD, DDL scripts, design rationale, optimization strategies).

4. Recommended Resources

Books:

  • "Database System Concepts" by Silberschatz, Korth, and Sudarshan (Foundational for RDBMS).
  • "Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design" by Michael J. Hernandez (Practical, beginner-friendly).
  • "SQL Performance Explained: For Developers" by Markus Winand (Focus on indexing and performance).
  • "Designing Data-Intensive Applications" by Martin Kleppmann (Advanced, covers distributed systems, NoSQL, and data processing).

Online Courses & Platforms:

  • Coursera/edX: "Database Systems Concepts & Design" (University of Colorado Boulder), "Databases" (Stanford University via Lagunita, free lectures).
  • Udemy/Pluralsight: Courses on SQL (specific to PostgreSQL/MySQL), Database Design Fundamentals.
  • Khan Academy: "Introduction to SQL" (Free, good for beginners).
  • SQLZoo: Interactive SQL tutorials and exercises.
  • HackerRank/LeetCode: Practice SQL challenges.

Tools:

  • Database Management Systems (RDBMS): PostgreSQL, MySQL, SQL Server (Express Edition).
  • ER Diagram Tools: Lucidchart, draw.io, dbdiagram.io, ER/Studio (professional).
  • SQL Clients: DBeaver, pgAdmin (for PostgreSQL), MySQL Workbench (for MySQL).
  • Version Control: Git, GitHub/GitLab (for schema DDL scripts).

Documentation:

  • Official documentation for PostgreSQL, MySQL, SQL Server, MongoDB, Redis, etc.

5. Milestones

  • Milestone 1 (End of Week 3): SQL Fundamentals Certified: Successfully complete advanced SQL exercises, demonstrating proficiency in DDL, DML, joins, and subqueries.
  • Milestone 2 (End of Week 6): Relational Design Expert: Design and normalize a complex relational schema to BCNF, complete with ERDs and logical schema translation.
  • Milestone 3 (End of Week 8): Performance Optimizer: Implement effective indexing strategies and analyze query plans to optimize database performance for a given set of queries.
  • Milestone 4 (End of Week 10): NoSQL Awareness: Successfully design a basic schema for a NoSQL database type (e.g., document store) for a specific use case.
  • Milestone 5 (End of Week 12): Capstone Project Completion: Deliver a fully documented, professional-grade database schema for a complex application, showcasing all learned principles and best practices.

6. Assessment Strategies

  • Weekly Coding Challenges: Regular completion of SQL exercises and problem-solving tasks on platforms like SQLZoo, HackerRank.
  • Design Critiques: Presenting ERDs and schema designs to peers or mentors for feedback and iterative improvement.
  • Project-Based Learning: The Capstone Project serves as the primary assessment, evaluating the practical application of all learned skills.
  • Mock Interviews: Practicing database design and SQL interview questions to prepare for real-world scenarios.
  • Self-Assessment: Regularly reviewing learning objectives and identifying areas requiring further study.
  • Quizzes & Tests: Periodic quizzes on theoretical concepts (normalization, ACID properties, etc.).
  • Code Reviews: Reviewing DDL scripts and SQL queries for best practices, efficiency, and correctness.

This detailed study plan provides a robust framework for becoming a proficient Database Schema Designer. Consistent effort, hands-on practice, and a commitment to understanding both theoretical foundations and practical applications will be key to your success.

gemini Output

As part of the "Database Schema Designer" workflow, we have successfully generated a comprehensive and detailed database schema. This output provides a production-ready blueprint for an e-commerce platform, demonstrating best practices in database design, including table definitions, relationships, data types, constraints, and indexing strategies.

This deliverable is designed to be directly actionable, providing clean, well-commented code that can be used to set up your database.


1. Overview: E-commerce Platform Database Schema

This document outlines a robust and scalable relational database schema for a typical e-commerce platform. It covers core functionalities such as user management, product catalog, shopping carts, orders, payments, and reviews. The design prioritizes data integrity, performance, and extensibility.

The schema is presented using SQL (PostgreSQL syntax), which is widely compatible with most modern relational database systems.


2. Core Entities and Relationships

The following are the primary entities and their relationships within this e-commerce database schema:

  • Users: Registered customers, administrators, etc.
  • Addresses: Reusable addresses for users (shipping, billing).
  • Categories: Hierarchical organization for products.
  • Products: Items available for sale.
  • Product Variants: Specific variations of a product (e.g., size, color).
  • Product Images: Images associated with products.
  • Carts: Temporary storage for items a user intends to purchase.
  • Cart Items: Individual items within a shopping cart.
  • Orders: Confirmed purchases by users.
  • Order Items: Individual products within an order.
  • Payments: Records of transactions for orders.
  • Reviews: User-generated feedback for products.
  • Coupons: Promotional codes for discounts.

Key Relationships:

  • One User can have multiple Addresses.
  • One Category can have multiple Products.
  • One Product can have multiple Product Variants and Product Images.
  • One User has one Cart. One Cart can have multiple Cart Items.
  • One User can place multiple Orders.
  • One Order can have multiple Order Items and one Payment.
  • One Product can have multiple Reviews.
  • Coupons can be applied to Orders.

3. Relational Database Schema (SQL - PostgreSQL)

Below is the SQL code to create the tables, including primary keys, foreign keys, unique constraints, default values, and appropriate data types. Each table and significant column is commented for clarity.


--
-- Database Schema for E-commerce Platform
-- Generated by Database Schema Designer
-- Target Database: PostgreSQL
--

-- Enable UUID generation for primary keys where applicable
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";

-- -----------------------------------------------------
-- Table: users
-- Description: Stores information about registered users, including customers and administrators.
-- -----------------------------------------------------
CREATE TABLE users (
    user_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), -- Unique identifier for the user
    email VARCHAR(255) UNIQUE NOT NULL,                  -- User's email address, must be unique
    password_hash VARCHAR(255) NOT NULL,                 -- Hashed password for security
    first_name VARCHAR(100) NOT NULL,                    -- User's first name
    last_name VARCHAR(100) NOT NULL,                     -- User's last name
    phone_number VARCHAR(20),                            -- User's phone number (optional)
    role VARCHAR(50) DEFAULT 'customer' NOT NULL,        -- User's role (e.g., 'customer', 'admin', 'seller')
    is_active BOOLEAN DEFAULT TRUE NOT NULL,             -- Account status
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL, -- Timestamp of account creation
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL  -- Timestamp of last update
);

-- Index for faster lookup by email
CREATE INDEX idx_users_email ON users (email);

-- -----------------------------------------------------
-- Table: addresses
-- Description: Stores reusable address information for users (e.g., shipping, billing).
-- -----------------------------------------------------
CREATE TABLE addresses (
    address_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), -- Unique identifier for the address
    user_id UUID NOT NULL,                                  -- Foreign key to users table
    address_line1 VARCHAR(255) NOT NULL,                    -- First line of the address
    address_line2 VARCHAR(255),                             -- Second line of the address (optional)
    city VARCHAR(100) NOT NULL,                             -- City
    state_province VARCHAR(100) NOT NULL,                   -- State or Province
    postal_code VARCHAR(20) NOT NULL,                       -- Postal code
    country VARCHAR(100) NOT NULL,                          -- Country
    is_default_shipping BOOLEAN DEFAULT FALSE NOT NULL,     -- Flag if this is the default shipping address
    is_default_billing BOOLEAN DEFAULT FALSE NOT NULL,      -- Flag if this is the default billing address
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    CONSTRAINT fk_addresses_user FOREIGN KEY (user_id) REFERENCES users (user_id) ON DELETE CASCADE
);

-- Index for faster lookup by user_id
CREATE INDEX idx_addresses_user_id ON addresses (user_id);

-- -----------------------------------------------------
-- Table: categories
-- Description: Defines product categories, supporting a hierarchical structure.
-- -----------------------------------------------------
CREATE TABLE categories (
    category_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), -- Unique identifier for the category
    name VARCHAR(100) UNIQUE NOT NULL,                       -- Category name, must be unique
    slug VARCHAR(100) UNIQUE NOT NULL,                       -- URL-friendly slug for the category
    description TEXT,                                        -- Detailed description of the category
    parent_category_id UUID,                                 -- Foreign key for hierarchical categories (self-referencing)
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    CONSTRAINT fk_categories_parent FOREIGN KEY (parent_category_id) REFERENCES categories (category_id) ON DELETE SET NULL
);

-- Index for faster lookup by slug
CREATE INDEX idx_categories_slug ON categories (slug);
-- Index for hierarchical queries
CREATE INDEX idx_categories_parent_category_id ON categories (parent_category_id);

-- -----------------------------------------------------
-- Table: products
-- Description: Stores information about individual products offered for sale.
-- -----------------------------------------------------
CREATE TABLE products (
    product_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), -- Unique identifier for the product
    name VARCHAR(255) NOT NULL,                             -- Product name
    slug VARCHAR(255) UNIQUE NOT NULL,                      -- URL-friendly slug for the product, must be unique
    description TEXT,                                       -- Detailed product description
    category_id UUID NOT NULL,                              -- Foreign key to categories table
    brand VARCHAR(100),                                     -- Product brand
    base_price DECIMAL(10, 2) NOT NULL,                     -- Base price of the product (before variants/discounts)
    stock_quantity INT DEFAULT 0 NOT NULL,                  -- Total stock quantity across all variants (can be aggregated)
    is_active BOOLEAN DEFAULT TRUE NOT NULL,                -- Product availability status
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    CONSTRAINT fk_products_category FOREIGN KEY (category_id) REFERENCES categories (category_id) ON DELETE RESTRICT
);

-- Index for faster lookup by category_id and slug
CREATE INDEX idx_products_category_id ON products (category_id);
CREATE INDEX idx_products_slug ON products (slug);
-- Index for searching products by name
CREATE INDEX idx_products_name_gin ON products USING GIN (to_tsvector('english', name));


-- -----------------------------------------------------
-- Table: product_variants
-- Description: Stores different variations of a product (e.g., size, color, material).
-- -----------------------------------------------------
CREATE TABLE product_variants (
    variant_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), -- Unique identifier for the product variant
    product_id UUID NOT NULL,                               -- Foreign key to products table
    sku VARCHAR(100) UNIQUE NOT NULL,                       -- Stock Keeping Unit, unique identifier for this specific variant
    attributes JSONB NOT NULL DEFAULT '{}'::jsonb,          -- JSONB field for flexible attributes (e.g., {"color": "red", "size": "M"})
    additional_price DECIMAL(10, 2) DEFAULT 0.00 NOT NULL,  -- Additional cost for this variant over base price
    stock_quantity INT NOT NULL,                            -- Stock quantity for this specific variant
    is_active BOOLEAN DEFAULT TRUE NOT NULL,                -- Variant availability status
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    CONSTRAINT fk_product_variants_product FOREIGN KEY (product_id) REFERENCES products (product_id) ON DELETE CASCADE,
    CONSTRAINT chk_stock_quantity CHECK (stock_quantity >= 0) -- Ensure stock is not negative
);

-- Index for faster lookup by product_id and SKU
CREATE INDEX idx_product_variants_product_id ON product_variants (product_id);
CREATE INDEX idx_product_variants_sku ON product_variants (sku);
-- Index for querying JSONB attributes (e.g., finding all red variants)
CREATE INDEX idx_product_variants_attributes_gin ON product_variants USING GIN (attributes);


-- -----------------------------------------------------
-- Table: product_images
-- Description: Stores image URLs for products.
-- -----------------------------------------------------
CREATE TABLE product_images (
    image_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), -- Unique identifier for the image
    product_id UUID NOT NULL,                             -- Foreign key to products table
    image_url VARCHAR(255) NOT NULL,                      -- URL of the image
    alt_text VARCHAR(255),                                -- Alternative text for accessibility
    display_order INT DEFAULT 0 NOT NULL,                 -- Order in which images should be displayed
    is_thumbnail BOOLEAN DEFAULT FALSE NOT NULL,          -- Flag if this is the main thumbnail image
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    CONSTRAINT fk_product_images_product FOREIGN KEY (product_id) REFERENCES products (product_id) ON DELETE CASCADE,
    CONSTRAINT uq_product_image_url UNIQUE (product_id, image_url) -- Ensure no duplicate image URLs for a product
);

-- Index for faster lookup by product_id
CREATE INDEX idx_product_images_product_id ON product_images (product_id);


-- -----------------------------------------------------
-- Table: carts
-- Description: Represents a user's shopping cart. Each user has one active cart.
-- -----------------------------------------------------
CREATE TABLE carts (
    cart_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), -- Unique identifier for the cart
    user_id UUID UNIQUE NOT NULL,                        -- Foreign key to users table, unique per user
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    CONSTRAINT fk_carts_user FOREIGN KEY (user_id) REFERENCES users (user_id) ON DELETE CASCADE
);

-- Index for faster lookup by user_id
CREATE INDEX idx_carts_user_id ON carts (user_id);


-- -----------------------------------------------------
-- Table: cart_items
-- Description: Stores individual items within a shopping cart.
-- -----------------------------------------------------
CREATE TABLE cart_items (
    cart_item_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), -- Unique identifier for the cart item
    cart_id UUID NOT NULL,                                    -- Foreign key to carts table
    product_id UUID NOT NULL,                                 -- Foreign key to products table
    variant_id UUID,                                          -- Foreign key to product_variants table (optional, if product has variants)
    quantity INT NOT NULL,                                    -- Quantity of the product/variant in the cart
    price_at_add DECIMAL(10, 2) NOT NULL,                     -- Price of the item when added to cart
    created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP NOT NULL,
    CONSTRAINT fk_cart_items_cart FOREIGN KEY (cart_id) REFERENCES carts (cart_id) ON DELETE CASCADE,
    CONSTRAINT fk_cart_items_product FOREIGN KEY (product_id) REFERENCES products (product_id) ON DELETE CASCADE,
    CONSTRAINT fk_cart_items_variant FOREIGN KEY (variant_id) REFERENCES product_variants (variant_id) ON DELETE SET NULL,
    CONSTRAINT uq_cart_product_variant UNIQUE (cart_id, product_id, variant_id), -- Ensure unique product/variant per cart
    CONSTRAINT chk_cart_item_quantity CHECK (quantity > 0) -- Ensure quantity is positive
);

-- Indexes for faster lookup by cart_id and product_id/variant_id
CREATE INDEX idx_cart_items_cart_id ON cart_items (cart_id);
CREATE INDEX idx_cart_items_product_id ON cart_items (product_id);


-- ------------------------------------------------
gemini Output

Database Schema Design Document: Project Management System

Project Name: Database Schema Designer - Project Management System

Workflow Step: Review and Document

Date: October 26, 2023

Version: 1.0

Prepared For: [Customer Name/Team]

Prepared By: PantheraHive AI


1. Executive Summary

This document presents the detailed database schema design for the proposed Project Management System. The schema has been meticulously crafted to ensure data integrity, optimal performance, scalability, and flexibility, addressing the core requirements identified during the initial analysis phase.

The design focuses on a normalized structure, minimizing data redundancy and maximizing data consistency. Key entities such as Users, Teams, Projects, Tasks, Comments, and Files are clearly defined with appropriate relationships, data types, and constraints. This document serves as a comprehensive reference for development teams and stakeholders, outlining the logical and physical design of the database.

2. Proposed Database Schema

2.1. Conceptual Entity-Relationship Diagram (ERD) Overview

The database schema is built around the following core entities and their relationships:

  • Users: Manages user authentication, profiles, and roles.
  • Teams: Organizes users into collaborative groups.
  • Projects: Represents top-level work initiatives, associated with teams and users.
  • Tasks: Breaks down projects into actionable items, assigned to users.
  • Comments: Facilitates communication and feedback on tasks and projects.
  • Files: Handles document and media attachments to tasks and projects.
  • ProjectMembers: A junction table to associate users with projects and define their roles within specific projects.
  • TeamMembers: A junction table to associate users with teams.

(Note: A visual ERD diagram will be provided separately in a tool like draw.io or Lucidchart upon request, or generated by a subsequent workflow step. This section provides a textual representation of the relationships.)

2.2. Detailed Table Definitions

Below are the detailed specifications for each table, including column names, data types, constraints, and descriptions.


Table: Users

Purpose: Stores information about all system users.

| Column Name | Data Type | Constraints | Description |

| :--------------- | :---------------- | :------------------------------------------------ | :------------------------------------------------ |

| user_id | UUID / BIGINT | PRIMARY KEY, NOT NULL, UNIQUE | Unique identifier for each user. |

| username | VARCHAR(50) | NOT NULL, UNIQUE | User's unique login username. |

| email | VARCHAR(255) | NOT NULL, UNIQUE | User's email address. |

| password_hash | VARCHAR(255) | NOT NULL | Hashed password for security. |

| first_name | VARCHAR(100) | NOT NULL | User's first name. |

| last_name | VARCHAR(100) | NOT NULL | User's last name. |

| profile_picture_url | VARCHAR(2048) | NULLABLE | URL to user's profile picture. |

| role | VARCHAR(50) | NOT NULL, DEFAULT 'member' | User's system role (e.g., 'admin', 'manager', 'member'). |

| is_active | BOOLEAN | NOT NULL, DEFAULT TRUE | Indicates if the user account is active. |

| created_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp when the user was created. |

| updated_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp of the last update to user information. |


Table: Teams

Purpose: Organizes users into functional teams.

| Column Name | Data Type | Constraints | Description |

| :--------------- | :---------------- | :------------------------------------------------ | :------------------------------------------------ |

| team_id | UUID / BIGINT | PRIMARY KEY, NOT NULL, UNIQUE | Unique identifier for each team. |

| team_name | VARCHAR(100) | NOT NULL, UNIQUE | Name of the team. |

| description | TEXT | NULLABLE | Description of the team's purpose. |

| created_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp when the team was created. |

| updated_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp of the last update to team information. |


Table: TeamMembers

Purpose: Junction table to link Users to Teams, defining team membership.

| Column Name | Data Type | Constraints | Description |

| :--------------- | :---------------- | :------------------------------------------------ | :------------------------------------------------ |

| team_member_id | UUID / BIGINT | PRIMARY KEY, NOT NULL, UNIQUE | Unique identifier for team membership. |

| team_id | UUID / BIGINT | NOT NULL, FOREIGN KEY references Teams(team_id) | ID of the team. |

| user_id | UUID / BIGINT | NOT NULL, FOREIGN KEY references Users(user_id) | ID of the user. |

| role_in_team | VARCHAR(50) | NOT NULL, DEFAULT 'member' | User's role within this specific team (e.g., 'lead', 'member'). |

| joined_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp when the user joined the team. |

| left_at | TIMESTAMP WITH TIME ZONE | NULLABLE | Timestamp when the user left the team (for historical tracking). |

| UNIQUE(team_id, user_id) | | | Ensures a user can only be in a team once. |


Table: Projects

Purpose: Stores information about individual projects.

| Column Name | Data Type | Constraints | Description |

| :--------------- | :---------------- | :------------------------------------------------ | :------------------------------------------------ |

| project_id | UUID / BIGINT | PRIMARY KEY, NOT NULL, UNIQUE | Unique identifier for each project. |

| project_name | VARCHAR(255) | NOT NULL | Name of the project. |

| description | TEXT | NULLABLE | Detailed description of the project. |

| team_id | UUID / BIGINT | NULLABLE, FOREIGN KEY references Teams(team_id) | ID of the team owning the project. Can be NULL if not team-specific. |

| creator_user_id | UUID / BIGINT | NOT NULL, FOREIGN KEY references Users(user_id) | ID of the user who created the project. |

| status | VARCHAR(50) | NOT NULL, DEFAULT 'planning' | Current status of the project (e.g., 'planning', 'in-progress', 'completed', 'on-hold', 'cancelled'). |

| start_date | DATE | NULLABLE | Planned start date of the project. |

| end_date | DATE | NULLABLE | Planned end date of the project. |

| budget | DECIMAL(18,2) | NULLABLE | Project budget. |

| created_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp when the project was created. |

| updated_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp of the last update to project information. |


Table: ProjectMembers

Purpose: Junction table to link Users to Projects, defining their role within a project.

| Column Name | Data Type | Constraints | Description |

| :--------------- | :---------------- | :------------------------------------------------ | :------------------------------------------------ |

| project_member_id | UUID / BIGINT | PRIMARY KEY, NOT NULL, UNIQUE | Unique identifier for project membership. |

| project_id | UUID / BIGINT | NOT NULL, FOREIGN KEY references Projects(project_id) | ID of the project. |

| user_id | UUID / BIGINT | NOT NULL, FOREIGN KEY references Users(user_id) | ID of the user. |

| role_in_project | VARCHAR(50) | NOT NULL, DEFAULT 'member' | User's role within this specific project (e.g., 'manager', 'contributor', 'viewer'). |

| joined_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp when the user joined the project. |

| left_at | TIMESTAMP WITH TIME ZONE | NULLABLE | Timestamp when the user left the project. |

| UNIQUE(project_id, user_id) | | | Ensures a user can only be in a project once. |


Table: Tasks

Purpose: Stores individual tasks associated with projects.

| Column Name | Data Type | Constraints | Description |

| :--------------- | :---------------- | :------------------------------------------------ | :------------------------------------------------ |

| task_id | UUID / BIGINT | PRIMARY KEY, NOT NULL, UNIQUE | Unique identifier for each task. |

| project_id | UUID / BIGINT | NOT NULL, FOREIGN KEY references Projects(project_id) | ID of the project the task belongs to. |

| parent_task_id | UUID / BIGINT | NULLABLE, FOREIGN KEY references Tasks(task_id) | For sub-tasks, ID of the parent task. |

| task_name | VARCHAR(255) | NOT NULL | Name or title of the task. |

| description | TEXT | NULLABLE | Detailed description of the task. |

| assigned_to_user_id | UUID / BIGINT | NULLABLE, FOREIGN KEY references Users(user_id) | ID of the user assigned to the task. |

| status | VARCHAR(50) | NOT NULL, DEFAULT 'open' | Current status of the task (e.g., 'open', 'in-progress', 'blocked', 'completed'). |

| priority | VARCHAR(20) | NOT NULL, DEFAULT 'medium' | Priority level (e.g., 'low', 'medium', 'high', 'urgent'). |

| due_date | DATE | NULLABLE | Due date for the task. |

| completed_at | TIMESTAMP WITH TIME ZONE | NULLABLE | Timestamp when the task was completed. |

| created_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp when the task was created. |

| updated_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp of the last update to task information. |


Table: Comments

Purpose: Stores comments related to tasks and projects.

| Column Name | Data Type | Constraints | Description |

| :--------------- | :---------------- | :------------------------------------------------ | :------------------------------------------------ |

| comment_id | UUID / BIGINT | PRIMARY KEY, NOT NULL, UNIQUE | Unique identifier for each comment. |

| comment_text | TEXT | NOT NULL | The content of the comment. |

| user_id | UUID / BIGINT | NOT NULL, FOREIGN KEY references Users(user_id) | ID of the user who posted the comment. |

| task_id | UUID / BIGINT | NULLABLE, FOREIGN KEY references Tasks(task_id) | ID of the task the comment belongs to. |

| project_id | UUID / BIGINT | NULLABLE, FOREIGN KEY references Projects(project_id) | ID of the project the comment belongs to. |

| parent_comment_id | UUID / BIGINT | NULLABLE, FOREIGN KEY references Comments(comment_id) | For replies, ID of the parent comment. |

| created_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp when the comment was created. |

| updated_at | TIMESTAMP WITH TIME ZONE | NOT NULL, DEFAULT CURRENT_TIMESTAMP | Timestamp of the last update to the comment. |

| CHECK (task_id IS NOT NULL OR project_id IS NOT NULL) | | Ensures a comment is linked to either a task or a project. |


Table: Files

Purpose: Stores metadata for files attached to tasks or projects.

| Column Name | Data Type | Constraints | Description |

| :--------------- | :---------------- | :------------------------------------------------ | :------------------------------------------------ |

| `file_

database_schema_designer.md
Download as Markdown
Copy all content
Full output as text
Download ZIP
IDE-ready project ZIP
Copy share link
Permanent URL for this run
Get Embed Code
Embed this result on any website
Print / Save PDF
Use browser print dialog
"); var hasSrcMain=Object.keys(extracted).some(function(k){return k.indexOf("src/main")>=0;}); if(!hasSrcMain) zip.file(folder+"src/main."+ext,"import React from 'react' import ReactDOM from 'react-dom/client' import App from './App' import './index.css' ReactDOM.createRoot(document.getElementById('root')!).render( ) "); var hasSrcApp=Object.keys(extracted).some(function(k){return k==="src/App."+ext||k==="App."+ext;}); if(!hasSrcApp) zip.file(folder+"src/App."+ext,"import React from 'react' import './App.css' function App(){ return(

"+slugTitle(pn)+"

Built with PantheraHive BOS

) } 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);}});}