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# Bun Reader
Reads Go source files containing Bun model definitions and extracts database schema information.
## Overview
The Bun Reader parses Go source code files that define Bun models (structs with `bun` struct tags) and converts them into RelSpec's internal database model representation.
## Features
- Parses Bun struct tags to extract column definitions
- Extracts table names from `bun:"table:tablename"` tags
- Identifies primary keys, foreign keys, and indexes
- Supports relationship detection
- Handles both single files and directories
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/bun"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/models.go",
}
reader := bun.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read Bun models and convert to JSON
relspec --input bun --in-file models/ --output json --out-file schema.json
# Convert Bun models to GORM
relspec --input bun --in-file models.go --output gorm --out-file gorm_models.go
```
## Supported Bun Tags
The reader recognizes the following Bun struct tags:
- `table` - Table name
- `column` - Column name
- `type` - SQL data type
- `pk` - Primary key
- `notnull` - NOT NULL constraint
- `autoincrement` - Auto-increment column
- `default` - Default value
- `unique` - Unique constraint
- `rel` - Relationship definition
## Example Bun Model
```go
package models
import (
"time"
"github.com/uptrace/bun"
)
type User struct {
bun.BaseModel `bun:"table:users,alias:u"`
ID int64 `bun:"id,pk,autoincrement"`
Username string `bun:"username,notnull,unique"`
Email string `bun:"email,notnull"`
CreatedAt time.Time `bun:"created_at,notnull,default:now()"`
Posts []*Post `bun:"rel:has-many,join:id=user_id"`
}
type Post struct {
bun.BaseModel `bun:"table:posts,alias:p"`
ID int64 `bun:"id,pk"`
UserID int64 `bun:"user_id,notnull"`
Title string `bun:"title,notnull"`
Content string `bun:"content"`
User *User `bun:"rel:belongs-to,join:user_id=id"`
}
```
## Notes
- Test files (ending in `_test.go`) are automatically excluded
- The `bun.BaseModel` embedded struct is automatically recognized
- Schema defaults to `public` if not specified

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# DBML Reader
Reads Database Markup Language (DBML) files and extracts database schema information.
## Overview
The DBML Reader parses `.dbml` files that define database schemas using the DBML syntax (used by dbdiagram.io) and converts them into RelSpec's internal database model representation.
## Features
- Parses DBML syntax
- Extracts tables, columns, and relationships
- Supports DBML-specific features:
- Table groups and notes
- Enum definitions
- Indexes
- Foreign key relationships
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/dbml"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/schema.dbml",
}
reader := dbml.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read DBML file and convert to JSON
relspec --input dbml --in-file schema.dbml --output json --out-file schema.json
# Convert DBML to GORM models
relspec --input dbml --in-file database.dbml --output gorm --out-file models.go
```
## Example DBML File
```dbml
Table users {
id bigserial [pk, increment]
username varchar(50) [not null, unique]
email varchar(100) [not null]
created_at timestamp [not null, default: `now()`]
Note: 'Users table'
}
Table posts {
id bigserial [pk]
user_id bigint [not null, ref: > users.id]
title varchar(200) [not null]
content text
indexes {
user_id
(user_id, created_at) [name: 'idx_user_posts']
}
}
Ref: posts.user_id > users.id [delete: cascade]
```
## DBML Features Supported
- Table definitions with columns
- Primary keys (`pk`)
- Not null constraints (`not null`)
- Unique constraints (`unique`)
- Default values (`default`)
- Inline references (`ref`)
- Standalone `Ref` blocks
- Indexes and composite indexes
- Table notes and column notes
- Enums
## Notes
- DBML is designed for database documentation and diagramming
- Schema name defaults to `public`
- Relationship cardinality is preserved

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# DCTX Reader
Reads Clarion database dictionary (DCTX) files and extracts database schema information.
## Overview
The DCTX Reader parses Clarion dictionary files (`.dctx`) that define database structures in the Clarion development system and converts them into RelSpec's internal database model representation.
## Features
- Parses Clarion DCTX XML format
- Extracts file (table) and field (column) definitions
- Supports Clarion data types
- Handles keys (indexes) and relationships
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/dctx"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/database.dctx",
}
reader := dctx.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read DCTX file and convert to JSON
relspec --input dctx --in-file legacy.dctx --output json --out-file schema.json
# Convert DCTX to GORM models for migration
relspec --input dctx --in-file app.dctx --output gorm --out-file models.go
# Export DCTX to PostgreSQL DDL
relspec --input dctx --in-file database.dctx --output pgsql --out-file schema.sql
```
## Example DCTX Structure
DCTX files are XML-based Clarion dictionary files that define:
- Files (equivalent to tables)
- Fields (columns) with Clarion-specific types
- Keys (indexes)
- Relationships between files
Common Clarion data types:
- `STRING` - Fixed-length string
- `CSTRING` - C-style null-terminated string
- `LONG` - 32-bit integer
- `SHORT` - 16-bit integer
- `DECIMAL` - Decimal number
- `REAL` - Floating point
- `DATE` - Date field
- `TIME` - Time field
## Type Mapping
The reader automatically maps Clarion data types to standard SQL types:
| Clarion Type | SQL Type |
|--------------|----------|
| STRING | VARCHAR |
| CSTRING | VARCHAR |
| LONG | INTEGER |
| SHORT | SMALLINT |
| DECIMAL | NUMERIC |
| REAL | REAL |
| DATE | DATE |
| TIME | TIME |
## Notes
- DCTX is specific to Clarion development platform
- Useful for migrating legacy Clarion applications
- Schema name defaults to `public`
- Preserves field properties and constraints where possible

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# DrawDB Reader
Reads DrawDB schema files and extracts database schema information.
## Overview
The DrawDB Reader parses JSON files exported from DrawDB (a free online database design tool) and converts them into RelSpec's internal database model representation.
## Features
- Parses DrawDB JSON format
- Extracts tables, fields, and relationships
- Supports DrawDB-specific metadata
- Preserves visual layout information
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/drawdb"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/diagram.json",
}
reader := drawdb.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read DrawDB export and convert to JSON schema
relspec --input drawdb --in-file diagram.json --output json --out-file schema.json
# Convert DrawDB design to GORM models
relspec --input drawdb --in-file design.json --output gorm --out-file models.go
```
## Example DrawDB Export
DrawDB exports database designs as JSON files containing:
```json
{
"tables": [
{
"id": "1",
"name": "users",
"fields": [
{
"name": "id",
"type": "BIGINT",
"primary": true,
"autoIncrement": true
},
{
"name": "username",
"type": "VARCHAR",
"size": 50,
"notNull": true,
"unique": true
}
]
}
],
"relationships": [
{
"source": "posts",
"target": "users",
"type": "many-to-one"
}
]
}
```
## Notes
- DrawDB is a free online database designer at drawdb.vercel.app
- Export format preserves visual design metadata
- Useful for converting visual designs to code
- Schema defaults to `public`

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# Drizzle Reader
Reads TypeScript/JavaScript files containing Drizzle ORM schema definitions and extracts database schema information.
## Overview
The Drizzle Reader parses Drizzle ORM schema files (TypeScript/JavaScript) that define database tables using Drizzle's schema builder and converts them into RelSpec's internal database model representation.
## Features
- Parses Drizzle schema definitions
- Extracts table, column, and relationship information
- Supports various Drizzle column types
- Handles constraints and indexes
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/drizzle"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/schema.ts",
}
reader := drizzle.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read Drizzle schema and convert to JSON
relspec --input drizzle --in-file schema.ts --output json --out-file schema.json
# Convert Drizzle to GORM models
relspec --input drizzle --in-file schema/ --output gorm --out-file models.go
```
## Example Drizzle Schema
```typescript
import { pgTable, serial, varchar, text, timestamp, integer } from 'drizzle-orm/pg-core';
import { relations } from 'drizzle-orm';
export const users = pgTable('users', {
id: serial('id').primaryKey(),
username: varchar('username', { length: 50 }).notNull().unique(),
email: varchar('email', { length: 100 }).notNull(),
createdAt: timestamp('created_at').notNull().defaultNow(),
});
export const posts = pgTable('posts', {
id: serial('id').primaryKey(),
userId: integer('user_id').notNull().references(() => users.id, { onDelete: 'cascade' }),
title: varchar('title', { length: 200 }).notNull(),
content: text('content'),
});
export const usersRelations = relations(users, ({ many }) => ({
posts: many(posts),
}));
export const postsRelations = relations(posts, ({ one }) => ({
user: one(users, {
fields: [posts.userId],
references: [users.id],
}),
}));
```
## Notes
- Supports both PostgreSQL and MySQL Drizzle schemas
- Extracts relationship information from `relations` definitions
- Schema defaults to `public` for PostgreSQL

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# GORM Reader
Reads Go source files containing GORM model definitions and extracts database schema information.
## Overview
The GORM Reader parses Go source code files that define GORM models (structs with `gorm` struct tags) and converts them into RelSpec's internal database model representation. It supports reading from individual files or entire directories.
## Features
- Parses GORM struct tags to extract column definitions
- Extracts table names from `TableName()` methods
- Identifies primary keys, foreign keys, and indexes
- Supports relationship detection (has-many, belongs-to)
- Handles both single files and directories
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/gorm"
)
func main() {
// Read from a single file
options := &readers.ReaderOptions{
FilePath: "/path/to/models.go",
}
reader := gorm.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### Reading from Directory
```go
// Read all .go files from a directory
options := &readers.ReaderOptions{
FilePath: "/path/to/models/",
}
reader := gorm.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
```
### CLI Example
```bash
# Read GORM models and convert to JSON
relspec --input gorm --in-file models/ --output json --out-file schema.json
# Convert GORM models to Bun
relspec --input gorm --in-file models.go --output bun --out-file bun_models.go
```
## Supported GORM Tags
The reader recognizes the following GORM struct tags:
- `column` - Column name
- `type` - SQL data type (e.g., `varchar(255)`, `bigint`)
- `primaryKey` or `primary_key` - Mark as primary key
- `not null` - NOT NULL constraint
- `autoIncrement` - Auto-increment column
- `default` - Default value
- `size` - Column size/length
- `index` - Create index
- `uniqueIndex` - Create unique index
- `unique` - Unique constraint
- `foreignKey` - Foreign key column
- `references` - Referenced column
- `constraint` - Constraint behavior (OnDelete, OnUpdate)
## Example GORM Model
```go
package models
import (
"time"
"gorm.io/gorm"
)
type ModelUser struct {
gorm.Model
ID int64 `gorm:"column:id;type:bigint;primaryKey;autoIncrement"`
Username string `gorm:"column:username;type:varchar(50);not null;uniqueIndex"`
Email string `gorm:"column:email;type:varchar(100);not null"`
CreatedAt time.Time `gorm:"column:created_at;type:timestamp;not null;default:now()"`
// Relationships
Posts []*ModelPost `gorm:"foreignKey:UserID;references:ID;constraint:OnDelete:CASCADE"`
}
func (ModelUser) TableName() string {
return "public.users"
}
type ModelPost struct {
ID int64 `gorm:"column:id;type:bigint;primaryKey"`
UserID int64 `gorm:"column:user_id;type:bigint;not null"`
Title string `gorm:"column:title;type:varchar(200);not null"`
Content string `gorm:"column:content;type:text"`
// Belongs-to relationship
User *ModelUser `gorm:"foreignKey:UserID;references:ID"`
}
func (ModelPost) TableName() string {
return "public.posts"
}
```
## Notes
- Test files (ending in `_test.go`) are automatically excluded
- The `gorm.Model` embedded struct is automatically recognized and skipped
- Table names are derived from struct names if `TableName()` method is not present
- Schema defaults to `public` if not specified in `TableName()`
- Relationships are inferred from GORM relationship tags
## Limitations
- Complex relationship types (many-to-many with join tables) may need manual verification
- Custom GORM types may not be fully supported
- Some advanced GORM features may not be captured

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# JSON Reader
Reads database schema definitions from JSON files.
## Overview
The JSON Reader parses JSON files that define database schemas in RelSpec's canonical JSON format and converts them into RelSpec's internal database model representation.
## Features
- Reads RelSpec's standard JSON schema format
- Supports complete schema representation including:
- Databases and schemas
- Tables, columns, and data types
- Constraints (PK, FK, unique, check)
- Indexes
- Relationships
- Views and sequences
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/json"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/schema.json",
}
reader := json.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read JSON schema and convert to GORM models
relspec --input json --in-file schema.json --output gorm --out-file models.go
# Convert JSON to PostgreSQL DDL
relspec --input json --in-file database.json --output pgsql --out-file schema.sql
# Transform JSON to YAML
relspec --input json --in-file schema.json --output yaml --out-file schema.yaml
```
## Example JSON Schema
```json
{
"name": "myapp",
"database_type": "postgresql",
"schemas": [
{
"name": "public",
"tables": [
{
"name": "users",
"schema": "public",
"columns": {
"id": {
"name": "id",
"type": "bigint",
"not_null": true,
"is_primary_key": true,
"auto_increment": true,
"sequence": 1
},
"username": {
"name": "username",
"type": "varchar",
"length": 50,
"not_null": true,
"sequence": 2
},
"email": {
"name": "email",
"type": "varchar",
"length": 100,
"not_null": true,
"sequence": 3
}
},
"constraints": {
"pk_users": {
"name": "pk_users",
"type": "PRIMARY KEY",
"columns": ["id"]
},
"uq_users_username": {
"name": "uq_users_username",
"type": "UNIQUE",
"columns": ["username"]
}
},
"indexes": {
"idx_users_email": {
"name": "idx_users_email",
"columns": ["email"],
"unique": false,
"type": "btree"
}
}
}
]
}
]
}
```
## Schema Structure
The JSON format follows RelSpec's internal model structure:
- `Database` - Top-level container
- `name` - Database name
- `database_type` - Database system (postgresql, mysql, etc.)
- `schemas[]` - Array of schemas
- `Schema` - Schema/namespace
- `name` - Schema name
- `tables[]` - Array of tables
- `views[]` - Array of views
- `sequences[]` - Array of sequences
- `Table` - Table definition
- `name` - Table name
- `columns{}` - Map of columns
- `constraints{}` - Map of constraints
- `indexes{}` - Map of indexes
- `relationships{}` - Map of relationships
## Notes
- This is RelSpec's native interchange format
- Preserves complete schema information
- Ideal for version control and schema documentation
- Can be used as an intermediate format for transformations

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# PostgreSQL Reader
Reads schema information directly from a live PostgreSQL database.
## Overview
The PostgreSQL Reader connects to a PostgreSQL database and introspects its schema, extracting complete information about tables, columns, constraints, indexes, views, and sequences.
## Features
- Direct database introspection
- Extracts complete schema information including:
- Tables and columns
- Primary keys, foreign keys, unique constraints, check constraints
- Indexes
- Views
- Sequences
- Supports multiple schemas
- Captures constraint actions (ON DELETE, ON UPDATE)
- Derives relationships from foreign keys
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/pgsql"
)
func main() {
options := &readers.ReaderOptions{
ConnectionString: "postgres://user:password@localhost:5432/mydb?sslmode=disable",
}
reader := pgsql.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Database: %s\n", db.Name)
fmt.Printf("Schemas: %d\n", len(db.Schemas))
for _, schema := range db.Schemas {
fmt.Printf(" Schema: %s, Tables: %d\n", schema.Name, len(schema.Tables))
}
}
```
### CLI Example
```bash
# Inspect PostgreSQL database and export to JSON
relspec --input pgsql \
--conn "postgres://user:password@localhost:5432/mydb" \
--output json \
--out-file schema.json
# Generate GORM models from PostgreSQL database
relspec --input pgsql \
--conn "postgres://user:password@localhost:5432/mydb" \
--output gorm \
--out-file models.go
# Export database structure to YAML
relspec --input pgsql \
--conn "postgres://localhost/mydb?sslmode=disable" \
--output yaml \
--out-file schema.yaml
```
## Connection String Format
The reader uses PostgreSQL connection strings in the format:
```
postgres://username:password@hostname:port/database?parameters
```
Examples:
```
postgres://localhost/mydb
postgres://user:pass@localhost:5432/mydb
postgres://user@localhost/mydb?sslmode=disable
postgres://user:pass@db.example.com:5432/production?sslmode=require
```
## Extracted Information
### Tables
- Table name and schema
- Comments/descriptions
- All columns with data types, nullable, defaults
- Sequences
### Columns
- Column name, data type, length/precision
- NULL/NOT NULL constraints
- Default values
- Auto-increment information
- Primary key designation
### Constraints
- Primary keys
- Foreign keys (with ON DELETE/UPDATE actions)
- Unique constraints
- Check constraints
### Indexes
- Index name and type (btree, hash, gist, gin, etc.)
- Columns in index
- Unique/non-unique
- Partial indexes
### Views
- View definitions
- Column information
### Sequences
- Sequence properties
- Associated tables
## Notes
- Requires PostgreSQL connection permissions
- Reads all non-system schemas (excludes pg_catalog, information_schema, pg_toast)
- Captures PostgreSQL-specific data types
- Automatically maps PostgreSQL types to canonical types
- Preserves relationship metadata for downstream conversion
## Requirements
- Go library: `github.com/jackc/pgx/v5`
- Database user must have SELECT permissions on system catalogs

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# Prisma Reader
Reads Prisma schema files and extracts database schema information.
## Overview
The Prisma Reader parses `.prisma` schema files that define database models using Prisma's schema language and converts them into RelSpec's internal database model representation.
## Features
- Parses Prisma schema syntax
- Extracts models, fields, and relationships
- Supports Prisma attributes and directives
- Handles enums and composite types
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/prisma"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/schema.prisma",
}
reader := prisma.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read Prisma schema and convert to JSON
relspec --input prisma --in-file schema.prisma --output json --out-file schema.json
# Convert Prisma to GORM models
relspec --input prisma --in-file schema.prisma --output gorm --out-file models.go
```
## Example Prisma Schema
```prisma
datasource db {
provider = "postgresql"
url = env("DATABASE_URL")
}
generator client {
provider = "prisma-client-js"
}
model User {
id Int @id @default(autoincrement())
username String @unique @db.VarChar(50)
email String @db.VarChar(100)
createdAt DateTime @default(now()) @map("created_at")
posts Post[]
@@map("users")
}
model Post {
id Int @id @default(autoincrement())
userId Int @map("user_id")
title String @db.VarChar(200)
content String @db.Text
user User @relation(fields: [userId], references: [id], onDelete: Cascade)
@@map("posts")
}
```
## Supported Prisma Attributes
- `@id` - Primary key
- `@unique` - Unique constraint
- `@default` - Default value
- `@map` - Column name mapping
- `@@map` - Table name mapping
- `@relation` - Relationship definition
- `@db.*` - Database-specific type annotations
## Notes
- Extracts datasource provider information
- Supports `@@map` for custom table names
- Handles Prisma-specific types and converts them to standard SQL types

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# TypeORM Reader
Reads TypeScript files containing TypeORM entity definitions and extracts database schema information.
## Overview
The TypeORM Reader parses TypeScript source files that define TypeORM entities (classes with TypeORM decorators) and converts them into RelSpec's internal database model representation.
## Features
- Parses TypeORM decorators and entity definitions
- Extracts table, column, and relationship information
- Supports various TypeORM column types and options
- Handles constraints, indexes, and relationships
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/typeorm"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/entities/",
}
reader := typeorm.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read TypeORM entities and convert to JSON
relspec --input typeorm --in-file entities/ --output json --out-file schema.json
# Convert TypeORM to GORM models
relspec --input typeorm --in-file User.ts --output gorm --out-file models.go
```
## Example TypeORM Entity
```typescript
import {
Entity,
PrimaryGeneratedColumn,
Column,
CreateDateColumn,
OneToMany,
} from 'typeorm';
import { Post } from './Post';
@Entity('users')
export class User {
@PrimaryGeneratedColumn('increment')
id: number;
@Column({ type: 'varchar', length: 50, unique: true })
username: string;
@Column({ type: 'varchar', length: 100 })
email: string;
@CreateDateColumn({ name: 'created_at' })
createdAt: Date;
@OneToMany(() => Post, (post) => post.user)
posts: Post[];
}
@Entity('posts')
export class Post {
@PrimaryGeneratedColumn('increment')
id: number;
@Column({ name: 'user_id' })
userId: number;
@Column({ type: 'varchar', length: 200 })
title: string;
@Column({ type: 'text' })
content: string;
@ManyToOne(() => User, (user) => user.posts, { onDelete: 'CASCADE' })
@JoinColumn({ name: 'user_id' })
user: User;
}
```
## Supported TypeORM Decorators
- `@Entity()` - Entity/table definition
- `@PrimaryGeneratedColumn()` - Auto-increment primary key
- `@PrimaryColumn()` - Primary key
- `@Column()` - Column definition
- `@CreateDateColumn()` - Auto-set creation timestamp
- `@UpdateDateColumn()` - Auto-update timestamp
- `@OneToMany()` - One-to-many relationship
- `@ManyToOne()` - Many-to-one relationship
- `@JoinColumn()` - Foreign key column
- `@Index()` - Index definition
- `@Unique()` - Unique constraint
## Notes
- Schema name can be specified in `@Entity()` decorator
- Supports both JavaScript and TypeScript entity files
- Relationship metadata is extracted from decorators

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# YAML Reader
Reads database schema definitions from YAML files.
## Overview
The YAML Reader parses YAML files that define database schemas in RelSpec's canonical YAML format and converts them into RelSpec's internal database model representation.
## Features
- Reads RelSpec's standard YAML schema format
- Human-readable alternative to JSON format
- Supports complete schema representation including:
- Databases and schemas
- Tables, columns, and data types
- Constraints (PK, FK, unique, check)
- Indexes
- Relationships
- Views and sequences
## Usage
### Basic Example
```go
package main
import (
"fmt"
"git.warky.dev/wdevs/relspecgo/pkg/readers"
"git.warky.dev/wdevs/relspecgo/pkg/readers/yaml"
)
func main() {
options := &readers.ReaderOptions{
FilePath: "/path/to/schema.yaml",
}
reader := yaml.NewReader(options)
db, err := reader.ReadDatabase()
if err != nil {
panic(err)
}
fmt.Printf("Found %d schemas\n", len(db.Schemas))
}
```
### CLI Example
```bash
# Read YAML schema and convert to GORM models
relspec --input yaml --in-file schema.yaml --output gorm --out-file models.go
# Convert YAML to PostgreSQL DDL
relspec --input yaml --in-file database.yaml --output pgsql --out-file schema.sql
# Transform YAML to JSON
relspec --input yaml --in-file schema.yaml --output json --out-file schema.json
```
## Example YAML Schema
```yaml
name: myapp
database_type: postgresql
schemas:
- name: public
tables:
- name: users
schema: public
columns:
id:
name: id
type: bigint
not_null: true
is_primary_key: true
auto_increment: true
sequence: 1
username:
name: username
type: varchar
length: 50
not_null: true
sequence: 2
email:
name: email
type: varchar
length: 100
not_null: true
sequence: 3
constraints:
pk_users:
name: pk_users
type: PRIMARY KEY
columns:
- id
uq_users_username:
name: uq_users_username
type: UNIQUE
columns:
- username
indexes:
idx_users_email:
name: idx_users_email
columns:
- email
unique: false
type: btree
- name: posts
schema: public
columns:
id:
name: id
type: bigint
not_null: true
is_primary_key: true
sequence: 1
user_id:
name: user_id
type: bigint
not_null: true
sequence: 2
title:
name: title
type: varchar
length: 200
not_null: true
sequence: 3
constraints:
fk_posts_user_id:
name: fk_posts_user_id
type: FOREIGN KEY
columns:
- user_id
referenced_table: users
referenced_schema: public
referenced_columns:
- id
on_delete: CASCADE
on_update: NO ACTION
```
## Schema Structure
The YAML format mirrors RelSpec's internal model structure with human-readable syntax:
- Database level: `name`, `database_type`, `schemas`
- Schema level: `name`, `tables`, `views`, `sequences`
- Table level: `name`, `schema`, `columns`, `constraints`, `indexes`, `relationships`
- Column level: `name`, `type`, `length`, `not_null`, `default`, etc.
## Notes
- YAML format is more human-readable than JSON
- Ideal for manual editing and version control
- Comments are supported in YAML
- Preserves complete schema information
- Can be used for configuration and documentation