Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

kysely-codegen

Package Overview
Dependencies
Maintainers
0
Versions
52
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

kysely-codegen

`kysely-codegen` generates Kysely type definitions from your database. That's it.

  • 0.17.0
  • latest
  • Source
  • npm
  • Socket score

Version published
Weekly downloads
197K
increased by15.74%
Maintainers
0
Weekly downloads
 
Created
Source

kysely-codegen

kysely-codegen generates Kysely type definitions from your database. That's it.

Table of contents

  • Installation
  • Generating type definitions
  • Using the type definitions
  • CLI arguments
  • Issue funding

Installation

npm install --save-dev kysely-codegen

You will also need to install Kysely with your driver of choice:

# PostgreSQL
npm install kysely pg

# MySQL
npm install kysely mysql2

# SQLite
npm install kysely better-sqlite3

# MSSQL
npm install kysely tedious tarn @tediousjs/connection-string

# LibSQL
npm install @libsql/kysely-libsql

Generating type definitions

The most convenient way to get started is to create an .env file with your database connection string:

# PostgreSQL
DATABASE_URL=postgres://username:password@yourdomain.com/database

# MySQL
DATABASE_URL=mysql://username:password@yourdomain.com/database

# SQLite
DATABASE_URL=C:/Program Files/sqlite3/db

# MSSQL
DATABASE_URL=Server=mssql;Database=database;User Id=user;Password=password

# LibSQL
DATABASE_URL=libsql://token@host:port/database

If your URL contains a password with special characters, those characters may need to be percent-encoded.

If you are using PlanetScale, make sure your URL contains this SSL query string parameter: ssl={"rejectUnauthorized":true}

Then run the following command, or add it to the scripts section in your package.json file:

kysely-codegen

This command will generate a .d.ts file from your database, for example:

import { ColumnType } from 'kysely';

export type Generated<T> = T extends ColumnType<infer S, infer I, infer U>
  ? ColumnType<S, I | undefined, U>
  : ColumnType<T, T | undefined, T>;

export type Timestamp = ColumnType<Date, Date | string, Date | string>;

export interface Company {
  id: Generated<number>;
  name: string;
}

export interface User {
  company_id: number | null;
  created_at: Generated<Timestamp>;
  email: string;
  id: Generated<number>;
  is_active: boolean;
  name: string;
  updated_at: Timestamp;
}

export interface DB {
  company: Company;
  user: User;
}

To specify a different output file:

kysely-codegen --out-file ./src/db/db.d.ts

Using the type definitions

Import DB into new Kysely<DB>, and you're done!

import { Kysely, PostgresDialect } from 'kysely';
import { DB } from 'kysely-codegen';
import { Pool } from 'pg';

const db = new Kysely<DB>({
  dialect: new PostgresDialect({
    pool: new Pool({
      connectionString: process.env.DATABASE_URL,
    }),
  }),
});

const rows = await db.selectFrom('users').selectAll().execute();
//    ^ { created_at: Date; email: string; id: number; ... }[]

If you need to use the generated types in e.g. function parameters and type definitions, you may need to use the Kysely Insertable, Selectable, Updateable types. Note that you don't need to explicitly annotate query return values, as it's recommended to let Kysely infer the types for you.

import { Insertable, Updateable } from 'kysely';
import { DB } from 'kysely-codegen';
import { db } from './db';

async function insertUser(user: Insertable<User>) {
  return await db
    .insertInto('users')
    .values(user)
    .returningAll()
    .executeTakeFirstOrThrow();
  // ^ Selectable<User>
}

async function updateUser(user: Updateable<User>) {
  return await db
    .updateTable('users')
    .set(user)
    .where({ id: user.id })
    .returning(['email', 'id'])
    .executeTakeFirstOrThrow();
  // ^ { email: string; id: number; }
}

Read the Kysely documentation for more information.

CLI arguments

--camel-case

Use the Kysely CamelCasePlugin for generated table column names.

Example:

export interface User {
  companyId: number | null;
  createdAt: Generated<Timestamp>;
  email: string;
  id: Generated<number>;
  isActive: boolean;
  name: string;
  updatedAt: Timestamp;
}
--date-parser

Specify which parser to use for PostgreSQL date values. (values: [string, timestamp], default: timestamp)

--dialect [value]

Set the SQL dialect. (values: [postgres, mysql, sqlite, mssql, libsql, bun-sqlite, kysely-bun-sqlite, worker-bun-sqlite])

--env-file [value]

Specify the path to an environment file to use.

--help, -h

Print all command line options.

--include-pattern [value], --exclude-pattern [value]

You can choose which tables should be included during code generation by providing a glob pattern to the --include-pattern and --exclude-pattern flags. We use micromatch under the hood, which provides advanced glob support. For instance, if you only want to include your public tables:

kysely-codegen --include-pattern="public.*"

You can also include only certain tables within a schema:

kysely-codegen --include-pattern="public.+(user|post)"

Or exclude an entire class of tables:

kysely-codegen --exclude-pattern="documents.*"
--log-level [value]

Set the terminal log level. (values: [debug, info, warn, error, silent], default: warn)

--no-domains

Skip generating types for PostgreSQL domains. (default: false)

--numeric-parser

Specify which parser to use for PostgreSQL numeric values. (values: [string, number, number-or-string], default: string)

--overrides

Specify type overrides for specific table columns in JSON format.

Example:

kysely-codegen --overrides='{"columns":{"table_name.column_name":"{foo:\"bar\"}"}}'
--out-file [value]

Set the file build path. (default: ./node_modules/kysely-codegen/dist/db.d.ts)

--partitions

Include partitions of PostgreSQL tables in the generated code.

--print

Print the generated output to the terminal instead of a file.

--runtime-enums, --runtime-enums-style

The PostgreSQL --runtime-enums option generates runtime enums instead of string unions.

The option --runtime-enums-style specifies which naming convention to use for runtime enum keys. (values: [pascal-case, screaming-snake-case], default: pascal-case)

Examples:

--runtime-enums=false

export type Status = 'CONFIRMED' | 'UNCONFIRMED';

--runtime-enums

export enum Status {
  CONFIRMED = 'CONFIRMED',
  UNCONFIRMED = 'UNCONFIRMED',
}

--runtime-enums --runtime-enums-style=pascal-case

export enum Status {
  Confirmed = 'CONFIRMED',
  Unconfirmed = 'UNCONFIRMED',
}
--schema [value]

Set the default schema(s) for the database connection.

Multiple schemas can be specified:

kysely-codegen --schema=public --schema=hidden
--singular

Singularize generated table names, e.g. BlogPost instead of BlogPosts. We use the pluralize package for singularization.

--type-only-imports

Generate code using the TypeScript 3.8+ import type syntax. (default: true)

--url [value]

Set the database connection string URL. This may point to an environment variable. (default: env(DATABASE_URL))

--verify

Verify that the generated types are up-to-date. (default: false)

Issue funding

We use Polar.sh to upvote and promote specific features that you would like to see implemented. Check the backlog and help out:

FAQs

Package last updated on 18 Oct 2024

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc