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relspecgo/pkg/writers/json/README.md
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Updated Readme files
2025-12-28 10:34:20 +02:00

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Markdown

# JSON Writer
Generates database schema definitions in JSON format.
## Overview
The JSON Writer converts RelSpec's internal database model representation into JSON format, providing a complete, structured representation of the database schema.
## Features
- Generates RelSpec's canonical JSON schema format
- Complete schema representation including:
- Databases and schemas
- Tables, columns, and data types
- Constraints (PK, FK, unique, check)
- Indexes
- Relationships
- Views and sequences
- Pretty-printed, human-readable output
- Suitable for version control
- Ideal interchange format
## Usage
### Basic Example
```go
package main
import (
"git.warky.dev/wdevs/relspecgo/pkg/models"
"git.warky.dev/wdevs/relspecgo/pkg/writers"
"git.warky.dev/wdevs/relspecgo/pkg/writers/json"
)
func main() {
options := &writers.WriterOptions{
OutputPath: "schema.json",
}
writer := json.NewWriter(options)
err := writer.WriteDatabase(db)
if err != nil {
panic(err)
}
}
```
### CLI Examples
```bash
# Export PostgreSQL database to JSON
relspec --input pgsql \
--conn "postgres://localhost/mydb" \
--output json \
--out-file schema.json
# Convert GORM models to JSON
relspec --input gorm --in-file models.go --output json --out-file schema.json
# Convert DBML to JSON
relspec --input dbml --in-file diagram.dbml --output json --out-file schema.json
```
## Generated JSON Example
```json
{
"name": "myapp",
"description": "",
"database_type": "postgresql",
"database_version": "",
"source_format": "pgsql",
"schemas": [
{
"name": "public",
"description": "",
"tables": [
{
"name": "users",
"schema": "public",
"description": "",
"columns": {
"id": {
"name": "id",
"table": "users",
"schema": "public",
"type": "bigint",
"length": 0,
"precision": 0,
"scale": 0,
"not_null": true,
"is_primary_key": true,
"auto_increment": true,
"default": "",
"sequence": 1
},
"username": {
"name": "username",
"table": "users",
"schema": "public",
"type": "varchar",
"length": 50,
"not_null": true,
"is_primary_key": false,
"auto_increment": false,
"sequence": 2
},
"email": {
"name": "email",
"table": "users",
"schema": "public",
"type": "varchar",
"length": 100,
"not_null": true,
"sequence": 3
}
},
"constraints": {
"pk_users": {
"name": "pk_users",
"type": "PRIMARY KEY",
"table": "users",
"schema": "public",
"columns": ["id"]
},
"uq_users_username": {
"name": "uq_users_username",
"type": "UNIQUE",
"table": "users",
"schema": "public",
"columns": ["username"]
}
},
"indexes": {
"idx_users_email": {
"name": "idx_users_email",
"table": "users",
"schema": "public",
"columns": ["email"],
"unique": false,
"type": "btree"
}
},
"relationships": {}
},
{
"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
},
"content": {
"name": "content",
"type": "text",
"not_null": false,
"sequence": 4
}
},
"constraints": {
"fk_posts_user_id": {
"name": "fk_posts_user_id",
"type": "FOREIGN KEY",
"table": "posts",
"schema": "public",
"columns": ["user_id"],
"referenced_table": "users",
"referenced_schema": "public",
"referenced_columns": ["id"],
"on_delete": "CASCADE",
"on_update": "NO ACTION"
}
},
"indexes": {
"idx_posts_user_id": {
"name": "idx_posts_user_id",
"columns": ["user_id"],
"unique": false,
"type": "btree"
}
}
}
],
"views": [],
"sequences": []
}
]
}
```
## Schema Structure
The JSON format includes:
### Database Level
- `name` - Database name
- `description` - Database description
- `database_type` - Database system type
- `database_version` - Version information
- `source_format` - Original source format
- `schemas` - Array of schema objects
### Schema Level
- `name` - Schema name
- `description` - Schema description
- `tables` - Array of table objects
- `views` - Array of view objects
- `sequences` - Array of sequence objects
### Table Level
- `name` - Table name
- `schema` - Schema name
- `description` - Table description
- `columns` - Map of column objects
- `constraints` - Map of constraint objects
- `indexes` - Map of index objects
- `relationships` - Map of relationship objects
### Column Level
- `name` - Column name
- `type` - Data type
- `length` - Type length
- `precision`, `scale` - Numeric precision
- `not_null` - NOT NULL flag
- `is_primary_key` - Primary key flag
- `auto_increment` - Auto-increment flag
- `default` - Default value
- `sequence` - Column order
### Constraint Level
- `name` - Constraint name
- `type` - Constraint type (PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK)
- `columns` - Constrained columns
- `referenced_table`, `referenced_schema` - FK references
- `referenced_columns` - Referenced columns
- `on_delete`, `on_update` - FK actions
### Index Level
- `name` - Index name
- `columns` - Indexed columns
- `unique` - Unique flag
- `type` - Index type
## Use Cases
- **Version Control** - Track schema changes in git
- **Documentation** - Human-readable schema documentation
- **Interchange** - Standard format for tool integration
- **Backup** - Schema backup without database access
- **Testing** - Test data for schema validation
- **API** - Schema information for APIs
## Notes
- Output is pretty-printed with 2-space indentation
- Preserves all schema metadata
- Can be round-tripped (read and write) without loss
- Schema-agnostic format
- Ideal for automation and tooling