zod-prisma-types

This directory is forked from https://github.com/chrishoermann/zod-prisma-types

zod-prisma-types is a generator for prisma that generates zod schemas from your prisma models. This includes schemas of models, enums, inputTypes, argTypes, filters and so on. It also provides options to write advanced zod validators directly in the prisma schema comments.

Since I'm maintaining the generator in my spare time consider buying me a coffee or sponsor me if you like the project. Thanks!

Breaking changes in v2.x.x

Be aware that some generator options have been removed, a few new have been added, the behaviour of custom imports has changed and ts-morph is no longer needed to generate files in v2.0.0.

Known issues

Since zod version 3.21.2 some schemas throw a typescript error. Please use zod version 3.21.1 until this issue is resolved.

Table of contents

• About this project
• Installation
• Usage
  • output
  • useMultipleFiles
  • createInputTypes
  • createModelTypes
  • addInputTypeValidation
  • addIncludeType
  • addSelectType
  • validateWhereUniqueInput
  • createOptionalDefaultValuesTypes
  • createRelationValuesTypes
  • createPartialTypes
  • useDefaultValidators
  • coerceDate
  • writeNullishInModelTypes
  • prismaClientPath
• Skip schema generation
• Custom Enums
• Json null values
• Decimal
• Field validators
  • Custom imports
  • Custom type error messages
  • String validators
  • Number validators
  • BigInt validators
  • Date validators
  • Custom validators
  • Array validators
  • Omit fields
  • Validation errors
• Naming of zod schemas
• Adding comments
• Migration from zod-prisma
  • Generator options
  • Extending zod fields
  • Importing helpers

About this project

For one of my projects I was in need of a generator that offers the possibility of adding zod valdiators directly in prisma schema's rich-comments and generates zod schemas for all prisma models, enums, inputTypes, argTypes, filters and so on. I also wanted to be able to import these schemas in the frontend e.g. for form validation and make the generator as flexible as possbile so it covers a large range of use cases. Since there where no generators out there that met my requirements or they weren't activly maintained anymore I decided to write zod-prisma-type.

Installation

TBD

Usage

Supports prisma 4.x

Just add the following code to your prisma.schema file to create a single index.ts file in the ./generated/zod output folder containing all the zod prisma schemas.

generator zod {
  provider       = "zod-prisma-types"
}

Then import the schema's into your file:

import { mySchema } from '/prisma/generated/zod' // All schemas are here by default, use the 'output' option to change it

If you encounter errors like the following /bin/sh: zod-prisma-types: command not found please try to use the npx command with the zod-prisma-types command.

generator zod {
  provider       = "npx zod-prisma-types"
}

If you want to customize the behaviour of the generator you can use the following options:

generator zod {
  provider                         = "ts-node-dev ../generator/src/bin.ts"
  output                           = "./generated/zod" // default is ./generated/zod
  useMultipleFiles                 = true // default is false
  createInputTypes                 = false // default is true
  createModelTypes                 = false // default is true
  addInputTypeValidation           = false // default is true
  addIncludeType                   = false // default is true
  addSelectType                    = false // default is true
  validateWhereUniqueInput         = true // default is false
  createOptionalDefaultValuesTypes = true // default is false
  createRelationValuesTypes        = true // default is false
  createPartialTypes               = true // default is false
  useDefaultValidators             = false // default is true
  coerceDate                       = false // default is true
  writeNullishInModelTypes         = true // default is false
  prismaClientPath                 = "./path/to/prisma/client" // default is client output path
}

useMultipleFiles

default: false

If you want to create multiple files instead of a single index.ts file you can set this option to true. This will create a file for each model, enum, inputType, argType, filter, etc. The files will be created in sub folders in the specified output folder and a barrel file will be added at the root of the output folder.

generator zod {
  // ...rest of config
  useMultipleFiles = false
}

output

default: ./generated/zod

Provide an alternative output path.

createInputTypes

default: true

If you just want to create zod schemas for your models and enums you can disable the creation of the corresponding input types. This may be useful if you just want to use zod schemas of your models for validating input types in react-hook-form or some similar use cases.

generator zod {
  // ...rest of config
  createInputTypes = false
}

createModelTypes

default: true

If you just want to create zod schemas for your input types you can disable the creation of the corresponding model schemas. This may be useful if you just want to use the zod input schemas for autocompletion in your trpc queries or similar use cases.

generator zod {
  // ...rest of config
  createModelTypes = false
}

addInputTypeValidation

default: true

If you want to use your custom zod validatiors that you added via rich-comments only on your generated model schemas but not on your created input type schemas (UserCreateInput, UserUpdateManyInput, etc.) you can disable this feature.

generator zod {
  // ...rest of config
  addInputTypeValidation = false
}

addIncludeType

default: true

By default the include type is added to the [Model]ArgTypeSchema. If you don't want to add a zod schema for the include type you can set this option to false.

generator zod {
  // ...rest of config
  addIncludeType = false
}

addSelectType

default: true

By default the select type is added to the [Model]ArgTypeSchema. If you don't want to add a zod schema for the select type you can set this option to false.

generator zod {
  // ...rest of config
  addSelectType = false
}

validateWhereUniqueInput

default: false

By default the generator will not validate the whereUnique input types in multifile mode since a bunch of unused imports will often be generated. If you want to validate the whereUnique input types you can set this option to true.

Be aware that this can lead to eslint errors if you use the no-unused-vars rule which you need to resolve manually.

generator zod {
  // ...rest of config
  validateWhereUniqueInput = true
}

createOptionalDefaultValuesTypes

default: false

If you want to have a schema of your model where where fields with default values are marked as .optional() you can pass the following config option:

generator zod {
  // ...rest of config
  createOptionalDefaultValuesTypes = true
}

model ModelWithDefaultValues {
  id          Int      @id @default(autoincrement())
  string      String   @default("default")
  otherString String
  int         Int      @default(1)
  otherInt    Int
  float       Float    @default(1.1)
  otherFloat  Float
  boolean     Boolean  @default(true)
  otherBool   Boolean
  date        DateTime @default(now())
  otherDate   DateTime
}

The above model would then generate the following model schemas:

export const ModelWithDefaultValuesSchema = z.object({
  id: z.number(),
  string: z.string(),
  otherString: z.string(),
  int: z.number(),
  otherInt: z.number(),
  float: z.number(),
  otherFloat: z.number(),
  boolean: z.boolean(),
  otherBool: z.boolean(),
  date: z.date(),
  otherDate: z.date(),
})

export const ModelWithDefaultValuesOptionalDefaultsSchema =
  ModelWithDefaultValuesSchema.merge(
    z.object({
      id: z.number().optional(),
      string: z.string().optional(),
      int: z.number().optional(),
      float: z.number().optional(),
      boolean: z.boolean().optional(),
      date: z.date().optional(),
    })
  )

createRelationValuesTypes

default: false

If you need a separate model type that includes all the relation fields you can pass the following option. Due to the type annotation, that is needed to have recursive types, this model has some limitations since z.ZodType<myType> does not allow some object methods like .merge(), .omit(), etc.

generator zod {
  // ...rest of config
  createRelationValuesTypes = true
}

model User {
  id         String      @id @default(cuid())
  email      String      @unique
  name       String?
  posts      Post[]
  profile    Profile?
  role       Role[]      @default([USER, ADMIN])
  enum       AnotherEnum @default(ONE)
  scalarList String[]

  lat Float
  lng Float

  location Location? @relation(fields: [lat, lng], references: [lat, lng])
}

The above model would generate the following model schemas:

export const UserSchema = z.object({
  role: RoleSchema.array(),
  enum: AnotherEnumSchema,
  id: z.string().cuid(),
  email: z.string(),
  name: z.string().optional(),
  scalarList: z.string().array(),
  lat: z.number(),
  lng: z.number(),
})

export type UserRelations = {
  posts: PostWithRelations[]
  profile?: ProfileWithRelations | null
  location?: LocationWithRelations | null
}
export type UserWithRelations = z.infer<typeof UserSchema> & UserRelations

export const UserWithRelationsSchema: z.ZodType<UserWithRelations> =
  UserSchema.merge(
    z.object({
      posts: z.lazy(() => PostWithRelationsSchema).array(),
      profile: z.lazy(() => ProfileWithRelationsSchema).nullish(),
      location: z.lazy(() => LocationWithRelationsSchema).nullish(),
    })
  )

If the option is combined with createOptionalDefaultValuesTypes additionally the following model schemas are generated:

export type UserOptionalDefaultsWithRelations = z.infer<
  typeof UserOptionalDefaultsSchema
> &
  UserRelations

export const UserOptionalDefaultsWithRelationsSchema: z.ZodType<UserOptionalDefaultsWithRelations> =
  UserOptionalDefaultsSchema.merge(
    z.object({
      posts: z.lazy(() => PostWithRelationsSchema).array(),
      profile: z.lazy(() => ProfileWithRelationsSchema).nullable(),
      location: z.lazy(() => LocationWithRelationsSchema).nullable(),
      target: z.lazy(() => LocationWithRelationsSchema).nullable(),
    })
  )

createPartialTypes

default: false

If you need a separate model type that includes all the fields as optional you can pass the following option.

generator zod {
  // ...rest of config
  createPartialTypes = true
}

model User {
  id         String      @id @default(cuid())
  email      String      @unique
  name       String?
  posts      Post[]
  profile    Profile?
  role       Role[]      @default([USER, ADMIN])
  enum       AnotherEnum @default(ONE)
  scalarList String[]

  lat Float
  lng Float

  location Location? @relation(fields: [lat, lng], references: [lat, lng])
}

The above model would generate the following model schemas:

export const UserPartialSchema = z
  .object({
    role: RoleSchema.array(),
    enum: AnotherEnumSchema,
    id: z.string().cuid(),
    email: z.string().email({ message: 'Invalid email address' }),
    name: z.string().min(1).max(100).nullable(),
    scalarList: z.string().array(),
    lat: z.number(),
    lng: z.number(),
  })
  .partial()

When using this option in combination with createRelationValuesTypes the following model schemas are also generated. Due do the type annotation, that is needed to have recursive types, this model has some limitations since z.ZodType<myType> does not allow some object methods like .merge(), .omit(), etc.

export type UserPartialRelations = {
  posts?: PostPartialWithRelations[]
  profile?: ProfilePartialWithRelations | null
  location?: LocationPartialWithRelations | null
}

export type UserPartialWithRelations = z.infer<typeof UserPartialSchema> &
  UserPartialRelations

export const UserPartialWithRelationsSchema: z.ZodType<UserPartialWithRelations> =
  UserPartialSchema.merge(
    z.object({
      posts: z.lazy(() => PostPartialWithRelationsSchema).array(),
      profile: z.lazy(() => ProfilePartialWithRelationsSchema).nullable(),
      location: z.lazy(() => LocationPartialWithRelationsSchema).nullable(),
    })
  ).partial()

export type UserPartial = z.infer;

useDefaultValidators

default: true

In certain use cases the generator adds default validators:

model WithDefaultValidators {
  id      String @id @default(cuid())
  idTwo   String @default(uuid())
  integer Int
}

export const WithDefaultValidatorsSchema = z.object({
  id: z.string().cuid(),
  idTwo: z.string().uuid(),
  integer: z.number().int(),
})

These defaults are overwritten when using a custom validator (see: Field Validators) or when you opt out of using a default validator on a specific field:

model WithDefaultValidators {
  id      String @id @default(cuid()) /// @zod.string.noDefault()
  idTwo   String @default(uuid()) /// @zod.string.noDefault()
  integer Int    /// @zod.number.noDefault()
}

export const WithDefaultValidatorsSchema = z.object({
  id: z.string(),
  idTwo: z.string(),
  integer: z.number(),
})

You can opt out of this feature completly by passing false to the config option.

generator zod {
  // ...rest of config
  useDefaultValidators = false
}

More default validators are planned in future releases (by checking the @db. filds in the schema). If you have some ideas for default validators feel free to open an issue.

coerceDate

default: true

Per default DateTime values are coerced to Date objects as long as you pass in a valid ISO string or an instance of Date. You can change this behavior to generate a simple z.date() by passing the following option to the generator config:

generator zod {
  // ...rest of config
  coerceDate = false
}

writeNullishInModelTypes

default: false

By default the generator just writes .nullable() in the modelTypes when a field in the Prisma type is nullable. If you want these fields to accept null | undefined, which would be represented by .nullish() in the schema, you can pass the following option to the generator config:

generator zod {
  // ...rest of config
  writeNullishInModelTypes = true
}

prismaClientPath

default: infereed from prisma schema path

By default the prisma client path is infereed from the output path provided in the prisma.schema file under generator client. If you still need to use a custom path you can pass it to the generator config via this option. A custom path takes precedence over the infereed prisma client output path.

generator zod {
  // ...rest of config
  prismaClientPath = "./path/to/prisma/client"
}

Skip schema generation

You can skip schema generation based on e.g. the environment you are currently working in. For example you can only generate the schemas when you're in development but not when you run generation in production (because in production the schemas would already hav been created and pushed to the server via your git repo).

Since Prisma only lets us define strings in the generator config we cannot use the env(MY_ENV_VARIABLE) method that is used when e.g. the url under datasource db is loaded:

datasource db {
  provider = "postgresql"
  url      = env("DATABASE_URL")
}

To still be able to load environment variables into the generator, just create a zodGenConfig.js in your root directory (where the node_modules folder is located) and add the following code:

module.exports = {
  skipGenerator: process.env['SKIP_ZOD_PRISMA'],
}

Then add

SKIP_ZOD_PRISMA = 'true'

or

SKIP_ZOD_PRISMA = 'false'

to your respective .env file. This will load the SKIP_ZOD_PRISMA environment variable on the skipGenerator prop that will then be consumed by the generator.

You can choose to name your environment variable whatever you want - just make shure to load the right variable in zodGenConfig.js.

Custom Enums

For custom enums a separate type is generated that represents the enum values as a union. Since in typescript unions are more useful than enums this can come in handy.

enum MyEnum {
  A
  B
  C
}

export const MyEnumSchema = z.nativeEnum(PrismaClient.MyEnum)

export type MyEnumType = `${z.infer<typeof MyEnumSchema>}` // union of "A" | "B" | "C"

Json null values

When using json null values prisma has a unique way of handling Database NULL and JSON null as stated in the Docs.

To adhere to this concept you can pass "DbNull" or "JsonNull" as string to a nullable Json field. When the schema gets validated these strings are transformed to Prisma.DbNull or Prisma.JsonNull to satisfy the prisma.[myModel].create() | .update() | ... functions.

Decimal

When using Decimal a refine method is used to validate if the input adheres to the prisma input union string | number | Decimal | DecimalJsLike.

model MyModel {
  id      Int     @id @default(autoincrement())
  decimal Decimal
}

The above model would generate the following schema:

// DECIMAL HELPERS
//------------------------------------------------------

export const DecimalJSLikeSchema: z.ZodType<Prisma.DecimalJsLike> = z.object({
  d: z.array(z.number()),
  e: z.number(),
  s: z.number(),
  toFixed: z.function().args().returns(z.string()),
})

export const DecimalJSLikeListSchema: z.ZodType<Prisma.DecimalJsLike[]> = z
  .object({
    d: z.array(z.number()),
    e: z.number(),
    s: z.number(),
    toFixed: z.function().args().returns(z.string()),
  })
  .array()

export const DECIMAL_STRING_REGEX = /^[0-9.,e+-bxffo_cp]+$|Infinity|NaN/

export const isValidDecimalInput = (
  v?: null | string | number | Prisma.DecimalJsLike
): v is string | number | Prisma.DecimalJsLike => {
  if (v === undefined || v === null) return false
  return (
    (typeof v === 'object' &&
      'd' in v &&
      'e' in v &&
      's' in v &&
      'toFixed' in v) ||
    (typeof v === 'string' && DECIMAL_STRING_REGEX.test(v)) ||
    typeof v === 'number'
  )
}
// SCHEMA
//------------------------------------------------------

export const MyModelSchema = z.object({
  id: z.number(),
  decimal: z
    .union([z.number(), z.string(), DecimalJSLikeSchema])
    .refine((v) => isValidDecimalInput(v), {
      message:
        "Field 'decimal' must be a Decimal. Location: ['Models', 'DecimalModel']",
    }),
})

Field validators

It is possible to add zod validators in the comments of the prisma.schema file with the following syntax (use rich-comments /// instead of //).

myField [prisma-scalar-type] /// @zod.[zod-type + optional[(zod-error-messages)]].[zod validators for scalar-type]

This may look a bit cryptc so here is an example:

generator zod {
  provider       = "zod-prisma-types"
  output         = "./zod"
}

/// @zod.import(["import { myFunction } from 'mypackage';"])
model MyPrismaScalarsType {
  /// @zod.string({ invalid_type_error: "some error with special chars: some + -*#'substring[]*#!§$%&/{}[]", required_error: "some other", description: "some description" }).cuid()
  id         String    @id @default(cuid())
  /// Some comment about string @zod.string.min(3, { message: "min error" }).max(10, { message: "max error" })
  string     String?
  /// @zod.custom.use(z.string().refine((val) => validator.isBIC(val), { message: 'BIC is not valid' }))
  bic        String?
  /// @zod.number.lt(10, { message: "lt error" }).gt(5, { message: "gt error" })
  float      Float
  floatOpt   Float?
  /// @zod.number.int({ message: "error" }).gt(5, { message: "gt error" })
  int        Int
  intOpt     Int?
  decimal    Decimal
  decimalOpt Decimal?
  date       DateTime  @default(now())
  dateOpt    DateTime? /// @zod.date({ invalid_type_error: "wrong date type" })  bigInt     BigInt /// @zod.bigint({ invalid_type_error: "error" })
  bigIntOpt  BigInt?
  /// @zod.custom.use(z.lazy(() => InputJsonValue).refine((val) => myFunction(val), { message: 'Is not valid' }))
  json       Json
  jsonOpt    Json?
  bytes      Bytes /// @zod.custom.use(z.instanceof(Buffer).refine((val) => val ? true : false, { message: 'Value is not valid' }))
  bytesOpt   Bytes?
  /// @zod.custom.use(z.string().refine((val) => myFunction(val), { message: 'Is not valid' }))
  custom     String?
  exclude    String? /// @zod.custom.omit(["model", "input"])

  updatedAt DateTime @updatedAt
}

This example generates the following zod schema for the model in prisma/zod/index.ts:

import { z } from 'zod'
import * as PrismaClient from '@prisma/client'
import validator from 'validator'
import { myFunction } from 'mypackage'

export const MyPrismaScalarsTypeSchema = z.object({
  id: z
    .string({
      invalid_type_error:
        "some error with special chars: some + -*#'substring[]*#!§$%&/{}[]",
      required_error: 'some other',
      description: 'some description',
    })
    .cuid(),
  /**
   * Some comment about string
   */
  string: z
    .string()
    .min(3, { message: 'min error' })
    .max(10, { message: 'max error' })
    .nullish(),
  bic: z
    .string()
    .refine((val) => validator.isBIC(val), { message: 'BIC is not valid' })
    .nullish(),
  float: z
    .number()
    .lt(10, { message: 'lt error' })
    .gt(5, { message: 'gt error' }),
  floatOpt: z.number().nullish(),
  int: z.number().int({ message: 'error' }).gt(5, { message: 'gt error' }),
  intOpt: z.number().int().nullish(),
  decimal: z
    .union([
      z.number(),
      z.string(),
      z.instanceof(PrismaClient.Prisma.Decimal),
      DecimalJSLikeSchema,
    ])
    .refine((v) => isValidDecimalInput(v), {
      message: 'Field "decimal" must be a Decimal',
      path: ['Models', 'MyPrismaScalarsType'],
    }),
  decimalOpt: z
    .union([
      z.number(),
      z.string(),
      z.instanceof(PrismaClient.Prisma.Decimal),
      DecimalJSLikeSchema,
    ])
    .refine((v) => isValidDecimalInput(v), {
      message: 'Field "decimalOpt" must be a Decimal',
      path: ['Models', 'MyPrismaScalarsType'],
    })
    .nullish(),
  date: z.coerce.date(),
  dateOpt: z.coerce.date({ invalid_type_error: 'wrong date type' }).nullish(),
  bigIntOpt: z.bigint().nullish(),
  json: z
    .lazy(() => InputJsonValue)
    .refine((val) => myFunction(val), { message: 'Is not valid' }),
  jsonOpt: NullableJsonValue.optional(),
  bytes: z
    .instanceof(Buffer)
    .refine((val) => (val ? true : false), { message: 'Value is not valid' }),
  bytesOpt: z.instanceof(Buffer).nullish(),
  custom: z
    .string()
    .refine((val) => myFunction(val), { message: 'Is not valid' })
    .nullish(),
  // omitted: exclude: z.string().nullish(),
  updatedAt: z.date(),
})

export type MyPrismaScalarsType = z.infer<typeof MyPrismaScalarsTypeSchema>

export const MyPrismaScalarsTypeOptionalDefaultsSchema =
  MyPrismaScalarsTypeSchema.merge(
    z.object({
      id: z
        .string({
          invalid_type_error:
            "some error with special chars: some + -*#'substring[]*#!§$%&/{}[]",
          required_error: 'some other',
          description: 'some description',
        })
        .cuid()
        .optional(),
      date: z.date().optional(),
      updatedAt: z.date().optional(),
    })
  )

Additionally all the zod schemas for the prisma input-, enum-, filter-, orderBy-, select-, include and other necessary types are generated ready to be used in e.g. trpc inputs.

Custom imports

To add custom imports to your validator you can add them via @zod.import([...myCustom imports as strings]) in prismas rich comments on the model definition.

For example:

/// @zod.import(["import { myFunction } from 'mypackage'"])
model MyModel {
  myField String /// @zod.string().refine((val) => myFunction(val), { message: 'Is not valid' })
}

This would result in an output like:

import { myFunction } from 'mypackage'

export const MyModelSchema = z.object({
  myField: z
    .string()
    .refine((val) => myFunction(val), { message: 'Is not valid' }),
})

Please be aware that you have to add an additional level to relative imports if you use the useMultipleFiles option.

Custom type error messages

To add custom zod-type error messages to your validator you can add them via @zod.[key]({ ...customTypeErrorMessages }).[validator key]. The custom error messages must adhere to the following type:

type RawCreateParams =
  | {
      invalid_type_error?: string
      required_error?: string
      description?: string
    }
  | undefined

For example:

model MyModel {
  myField String /// @zod.string({ invalid_type_error: "invalid type error", required_error: "is required", description: "describe the error" })
}

This would result in an output like:

 string: z.string({
    invalid_type_error: 'invalid type error',
    required_error: 'is required',
    description: 'describe the error',
  }),

If you use a wrong key or have a typo the generator would throw an error:

model MyModel {
  myField String  /// @zod.string({ required_error: "error", invalid_type_errrrrror: "error"})
}

[@zod generator error]: Custom error key 'invalid_type_errrrrror' is not valid. Please check for typos! [Error Location]: Model: 'Test', Field: 'myField'.

String validators

To add custom validators to the prisma String field you can use the @zod.string key. On this key you can use all string-specific validators that are mentioned in the zod-docs. You can also add a custom error message to each validator as stated in the docs.

model MyModel {
  myField String /// @zod.string.min(3, { message: "min error" }).max(10, { message: "max error" }).[...chain more validators]
}

Number validators

To add custom validators to the prisma Int or Float field you can use the @zod.number key. On this key you can use all number-specific validators that are mentioned in the zod-docs. You can also add a custom error message to each validator as stated in the docs.

model MyModel {
  myField Int
/// @zod.number.lt(10, { message: "lt error" }).gt(5, { message: "gt error" }).[...chain more validators]
}

BigInt validators

To add custom validators to the prisma BigInt field you can use the @zod.bigint key. On this key you can use all string-specific validators that are mentioned in the zod-docs. You can also add a custom error message to each validator as stated in the docs.

model MyModel {
  myField BigInt /// @zod.bigint.lt(5n, { message: "lt error" }).gt(6n, { message: "gt error" })({ invalid_type_error: "error", ... }).[...chain more validators]
}

Date validators

To add custom validators to the prisma DateTime field you can use the @zod.date key. On this key you can use all date-specific validators that are mentioned in the zod-docs. You can also add a custom error message to each validator as stated in the docs.

model MyModel {
  myField DateTime ///  @zod.date.min(new Date('2020-01-01')).max(new Date('2020-12-31'))
}

Custom validators

To add custom validators to any Prisma Scalar field you can use the @zod.custom.use() key. This key has only the .use(...your custom code here) validator. This code overwrites all other standard implementations so you have to exactly specify the zod type how it should be written by the generator. Only .optional() and .nullable() are added automatically based on your prisma schema type definition. This field is inteded to provide validators like zod .refine or .transform on your fields.

model MyModel {
  id     Int     @id @default(autoincrement())
  custom String? /// @zod.custom.use(z.string().refine(val => validator.isBIC(val)).transform(val => val.toUpperCase()))
}

The above model schema would generate the following zod schema:

export const MyModel = z.object({
  id: z.number(),
  custom: z
    .string()
    .refine((val) => validator.isBIC(val))
    .transform((val) => val.toUpperCase())
    .nullable(),
})

Array validators

To add custom validators to list fields you can use the z.[key].array(.length(2).min(1).max(2).nonempty()) validator. You can use this validator on @zod.string, @zod.number, @zod.bigint, @zod.date and @zod.custom. Furthermore you can use it on enums with the @zod.enum.array(...) key and on relations with the @zod.object.array(...) key. You can also add a custom error message to each validator as stated in the docs.

model MyModel {
  id     Int     @id @default(autoincrement())
  string String[] /// @zod.string.array(.length(2, { message: "my message" }).min(1, { message: "my message" }).max(2, { message: "my message" }).nonempty({ message: "my message" }))
  number Int[] /// @zod.number.array(.length(2).min(1).max(2).nonempty())
  bigint BigInt[] /// @zod.bigint.array(.length(2).min(1).max(2).nonempty())
  date   DateTime[] /// @zod.date.array(.length(2).min(1).max(2).nonempty())
  custom String[] /// @zod.custom.use(z.string().refine(val => validator.isBIC(val)).transform(val => val.toUpperCase())).array(.length(2).min(1).max(2).nonempty())
  enum   MyEnum[] /// @zod.enum.array(.length(2).min(1).max(2).nonempty())
  object MyObject[] /// @zod.object.array(.length(2).min(1).max(2).nonempty())
}

The above model schema would generate the following zod schema:

export const MyModel = z.object({
  id: z.number(),
  string: z
    .string()
    .array()
    .length(2, { message: 'my message' })
    .min(1, { message: 'my message' })
    .max(2, { message: 'my message' })
    .nonempty({ message: 'my message' }),
  number: z.number().array().length(2).min(1).max(2).nonempty(),
  bigint: z.bigint().array().length(2).min(1).max(2).nonempty(),
  date: z.date().array().length(2).min(1).max(2).nonempty(),
  custom: z
    .string()
    .refine((val) => validator.isBIC(val))
    .transform((val) => val.toUpperCase())
    .array()
    .length(2)
    .min(1)
    .max(2)
    .nonempty(),
  enum: MyEnumSchema.array().length(2).min(1).max(2).nonempty(),
})

Omit Fields

It is possible to omit fields in the generated zod schemas by using @zod.custom.omit(["model", "input"]). When passing both keys "model" and "input" the field is omitted in both, the generated model schema and the generated input types (see example below). If you just want to omit the field in one of the schemas just provide the matching key. You can also write the keys without " or '.

model MyModel {
  id           Int     @id @default(autoincrement())
  string       String? /// @zod.string.min(4).max(10)
  omitField    String? /// @zod.custom.omit([model, input])
  omitRequired String /// @zod.custom.omit([model, input])
}

The above model would generate the following zod schemas (the omitted keys are left in the model but are commented out so you see at a glance which fields are omitted when looking on the zod schema):

// MODEL TYPES
// ---------------------------------------

export const MyModelSchema = z.object({
  id: z.number(),
  string: z.string().min(4).max(10).nullish(),
  // omitted: omitField: z.string().nullish(),
  // omitted: omitRequired: z.string(),
})

// INPUT TYPES
// ---------------------------------------

export const MyModelCreateInputSchema: z.ZodType<
  Omit<PrismaClient.Prisma.MyModelCreateInput, 'omitField' | 'omitRequired'>
> = z
  .object({
    string: z.string().min(4).max(10).optional().nullable(),
    // omitted: omitField: z.string().optional().nullable(),
    // omitted: omitRequired: z.string(),
  })
  .strict()

export const MyModelUncheckedCreateInputSchema: z.ZodType<
  Omit<
    PrismaClient.Prisma.MyModelUncheckedCreateInput,
    'omitField' | 'omitRequired'
  >
> = z
  .object({
    id: z.number().optional(),
    string: z.string().min(4).max(10).optional().nullable(),
    // omitted: omitField: z.string().optional().nullable(),
    // omitted: omitRequired: z.string(),
  })
  .strict()

export const MyModelUpdateInputSchema: z.ZodType<
  Omit<PrismaClient.Prisma.MyModelUpdateInput, 'omitField' | 'omitRequired'>
> = z
  .object({
    string: z
      .union([
        z.string().min(4).max(10),
        z.lazy(() => NullableStringFieldUpdateOperationsInputSchema),
      ])
      .optional()
      .nullable(),
    // omitted: omitField: z.union([ z.string(),z.lazy(() => NullableStringFieldUpdateOperationsInputSchema) ]).optional().nullable(),
    // omitted: omitRequired: z.union([ z.string(),z.lazy(() => StringFieldUpdateOperationsInputSchema) ]).optional(),
  })
  .strict()

// AND SO ON...

// ARG TYPES
// ---------------------------------------

// To be compatible with the inputTypes the type of the `ArgSchema` is updated accordingly
export const MyModelCreateArgsSchema: z.ZodType<
  Omit<PrismaClient.Prisma.MyModelCreateArgs, 'data'> & {
    data:
      | z.infer<typeof MyModelCreateInputSchema>
      | z.infer<typeof MyModelUncheckedCreateInputSchema>
  }
> = z
  .object({
    select: MyModelSelectSchema.optional(),
    data: z.union([
      MyModelCreateInputSchema,
      MyModelUncheckedCreateInputSchema,
    ]),
  })
  .strict()

When a required field is omitted the field needs to be added manually in the respective prisma function like create, update, createMany and so on. Otherwise Typescript would complain.

const appRouter = t.router({
  createMyModel: t.procedure
    .input(MyModelCreateArgsSchema) // field `omitRequired` is not included in `data`
    .query(({ input }) => {
      return prisma.myModel.create({
        ...input,
        data: {
          ...input.data,
          omitRequired: 'foo', // field needs to be added manually
        },
      })
    }),
})

Validation errors

To ease the developer experience the generator checks if the provided @zod.[key] can be used on the respective type of the model field. It also checks if the @zod.[key].[validator] can be used on the specified @zod.[key]

Wrong zod type

The generator throws an error if you use a validator key like @zod.string on the wrong prisma type.

model MyModel {
  string String /// @zod.string.min(3) -> valid - `string` can be used on `String`
  number Number /// @zod.string.min(3) -> invalid - `string` can not be used on `Number`
}

For the above example the Error message would look like this:

[@zod generator error]: Validator 'string' is not valid for type 'Int'. [Error Location]: Model: 'MyModel', Field: 'number'

The generator provides the exact location, what went wrong and where the error happend. In big prisma schemas with hundreds of models and hundreds of custom validation strings this can come in handy.

Wrong validator

The generator throws an error if you use a validator .min on the wrong validator key.

model MyModel {
  number Int /// @zod.number.min(3) -> invalid - `min` can not be used on `number`
}

The above example would throw the following error:

[@zod generator error]: Validator 'min' is not valid for type 'Int'. [Error Location]: Model: 'MyModel', Field: 'number'.

Typo Errors

If you have typos in your validator strings like

model MyModel {
  string String /// @zod.string.min(3, { mussage: 'Must be at least 3 characters' })
}

that the generator would throw the following error:

[@zod generator error]: Could not match validator 'min' with validatorPattern
'.min(3, { mussage: 'Must be at least 3 characters' })'. Please check for typos! [Error Location]: Model: 'MyModel', Field: 'string'.

Naming of zod schemas

The zod types are named after the generated prisma types with an appended "Schema" string. You just need to hover over a prisma function and you know which type to import. This would look something like this for trpc v.10:

import {
  UserFindFirstArgsSchema,
  UserFindManyArgsSchema,
  UserFindUniqueArgsSchema,
} from './prisma/zod'

const appRouter = t.router({
  findManyUser: t.procedure.input(UserFindManyArgsSchema).query(({ input }) => {
    return prisma.user.findMany(input)
  }),
  findUniqueUser: t.procedure
    .input(UserFindUniqueArgsSchema)
    .query(({ input }) => {
      return prisma.user.findUnique(input)
    }),

  findFirstUser: t.procedure
    .input(UserFindFirstArgsSchema)
    .query(({ input }) => {
      return prisma.user.findFirst(input)
    }),
})

Adding comments

You can add rich-comments to your models and fields that are then printed as jsDoc in your generated zod schema.

/// comment line one
/// comment line two
model MyModel {
  id     Int     @id @default(autoincrement())
  /// comment before validator @zod.string.min(4).max(10)
  /// comment after validator
  string String?
}

The above model would generate the following output where the validator is extracted from the rich-comments and added to the string field:

/**
 * comment line one
 * comment line two
 */
export const MyModelSchema = z.object({
  id: z.number(),
  /**
   * comment before validator
   * comment after validator
   */
  string: z.string().min(4).max(10).nullish(),
})

The validator is extracted from the comments and added to the string

Migration from zod-prisma

There are a few differences between zod-prisma and zod-prisma-types. The following sections should help you migrate from zod-prisma to zod-prisma-types.

Generator options

The following generator options from zod-prisma are not supported or implemented differently by zod-prisma-types:

relationModel

You can generate a schema that contains all relations of a model by passing the following option to the generator:

generator zod {
  // ... other options
  createRelationValuesTypes = true
}

See createRelationValuesTypes for more information.

modelCase

The casing of the model is fixed to the casing used in the prisma schema and can not be changed. This way model names with mixed casing like MYModel will work as expected when generating inputTypes, enums, argTypes, etc.

modelSuffix

The model suffix in zod-prisma-types is fixed to Schema and can not be changed.

useDecimalJs

zod-prisma-types does not support decimal.js but uses the decimal implementation provided by prisma to validate Decimal types. See Decimal for more information.

imports

As of version 2.0.0 imports in zod-prisma-types are handled with rich-comments on the model definition. See Custom imports for more information.

prismaJsonNullability

The nullablility in zod-prisma-types is handled differently. See Json null values for more information.

Extending zod fields

zod-prisma allows you to extend the zod fields with custom validators. This is also possible with zod-prisma-types and the @zod.[key].[validator] syntax. The different syntax is used to check if a validator can be used on a specific prisma type. See Field validators for more information.

// zod-prisma
model MyModel {
  string String /// @zod.min(3) -> valid - `string` can be used on `String`
  number Number /// @zod.min(3) -> valid - throws error only at runtime
}

//zod-prisma-types
model MyModel {
  string String /// @zod.string.min(3) -> valid - `string` can be used on `String`
  number Number /// @zod.string.min(3) -> invalid - throws error during generation
}

Importing helpers

You can import custom helpers in the generator. Please refer to the section about custom imports for more information.