AST type system for programmatic Prisma ORM schema generation through AI
function calling.
This namespace defines a comprehensive Abstract Syntax Tree structure that
enables AI agents to construct complete Prisma schema files at the AST level.
Each type corresponds to specific Prisma Schema Language (PSL) constructs,
allowing precise control over generated database schemas while maintaining
type safety and business logic accuracy.
Core Purpose
The system is designed for systematic generation where AI function calls
build database schemas step-by-step, mapping business requirements to
executable Prisma schema code. Instead of generating raw PSL strings, AI
agents construct structured AST objects that represent:
Complete database schemas organized by business domains
Properly typed models with relationships and constraints
Performance-optimized indexes for common query patterns
Business-appropriate data types and validation rules
Architecture Overview
IApplication: Root container representing the entire database schema
IFile: Domain-specific schema files organized by business functionality
IModel: Database tables representing business entities with full
relationship mapping
Fields: Primary keys, foreign keys, and business data fields with proper
typing
Indexes: Performance optimization through unique, regular, and full-text
search indexes
Domain-Driven Schema Organization
Schemas are typically organized into multiple domain-specific files following
DDD principles:
Core/System: Foundation entities and application configuration
Identity: User management, authentication, and authorization
Business Logic: Domain-specific entities and workflows
Transactions: Financial operations and payment processing
Communication: Messaging, notifications, and user interactions
Content: Media management, documentation, and publishing systems
Analytics: Reporting, metrics, and business intelligence data
Database Design Patterns
The generated schemas follow enterprise-grade patterns:
UUID primary keys for distributed system compatibility and security
Snapshot/versioning tables for audit trails and data history
Junction tables for many-to-many relationship management
Materialized views for performance optimization of complex queries
Soft deletion patterns with timestamp-based lifecycle management
Full-text search capabilities using PostgreSQL GIN indexes
Each generated schema reflects real business workflows where entities
maintain proper relationships, data integrity constraints, and performance
characteristics suitable for production applications handling complex
business logic and high query volumes.
AST type system for programmatic Prisma ORM schema generation through AI function calling.
This namespace defines a comprehensive Abstract Syntax Tree structure that enables AI agents to construct complete Prisma schema files at the AST level. Each type corresponds to specific Prisma Schema Language (PSL) constructs, allowing precise control over generated database schemas while maintaining type safety and business logic accuracy.
Core Purpose
The system is designed for systematic generation where AI function calls build database schemas step-by-step, mapping business requirements to executable Prisma schema code. Instead of generating raw PSL strings, AI agents construct structured AST objects that represent:
Architecture Overview
Domain-Driven Schema Organization
Schemas are typically organized into multiple domain-specific files following DDD principles:
Database Design Patterns
The generated schemas follow enterprise-grade patterns:
Each generated schema reflects real business workflows where entities maintain proper relationships, data integrity constraints, and performance characteristics suitable for production applications handling complex business logic and high query volumes.
Author
Samchon