ORM Model Generation

Who this is for

For users who need to translate table structures directly into ORM model code for business projects.

What this solves

You don't need to manually translate between DDL and ORM models; the system can generate model code for the target framework directly, reducing duplicate work and type inconsistency risks.

Prerequisites

• The current table has completed field configuration, and DDL has been generated on the right.
• The ORM framework used by the business project is already identified.

Steps

1. Click the ORM tab in the right output area. Result: a framework selector and generated code appear.
2. Switch the target in the framework selector (Prisma, TypeORM, SQLAlchemy, GORM, JPA). Result: code refreshes in real time according to that framework's syntax.
3. Check field type mappings, primary key definitions, and index annotations in the generated result. Result: type mappings follow each framework's conventions, such as varchar → Prisma's String, TypeORM's varchar, JPA's @Column, etc.
4. Click Copy ORM. Result: code is copied to clipboard, ready to paste into the business project.

Supported frameworks and mapping highlights

Framework	File Format	Typical Mapping
Prisma	.prisma schema	String, Int, DateTime, @id, @index
TypeORM	TypeScript decorators	@Entity(), @Column(), @PrimaryGeneratedColumn()
SQLAlchemy	Python class	Column(), Integer(), String(), relationship()
GORM	Go struct	gorm.Model, tag-style gorm:"column;type"
JPA	Java annotations	@Entity, @Table, @Id, @Column, @Index

Done when

• ORM code has been successfully copied to clipboard.
• Field types, primary keys, and indexes are expressed in the ORM code.
• After pasting into the business project, it can compile/run directly without large-scale adjustments.

Common pitfalls

• ORM generation is based on current table structure snapshot; field changes require re-copying, not automatically synced.
• Complex relationships in some frameworks (such as many-to-many intermediate tables) may require additional manual adjustments.
• Enum types vary greatly across ORMs (e.g., Prisma enum vs JPA @Enumerated); review after generation is recommended.
• Schema Name is mapped to schema/database configuration in some frameworks, but actual effect depends on the ORM's own data source configuration.