gem-hunter
Language: TypeScript
A library providing dynamic GraphQL object classes from their zod validation objects.
Use zod validation objects in your GraphQL actions!
This library provides utility functions and decorators similar to NestJS
GraphQL decorators that lets you work with zod objects without the need of
writing GraphQL schema classes.
Nested zod.object(...) calls are supported. These will lead to generate
another GraphQL model for each definition.
Descriptions are supported. Additionally, for zod.object(...) definitions,
to provide a custom name (instead of the dynamically generated ones) the
description should be in {ClassName}:{Description} format
(for example UpdateModel: Contains properties that will be updated). This
will cause a model generation with given class name with given description.
zod.enum(...) calls are supported. Enum models will be generated in GraphQL
schema.
Primitive types are also supported and they will not cause any custom type creation in GraphQL schema file.
All the decorators are the same with underlying decorator with an exception that
the first parameter is the zod object.
The overloads of the underlying decorators are also reflected. Therefore it is possible to use an overload of the decorators provided by this library.
@QueryWithZod@MutationWithZod@SubscriptionWithZodThese decorators will do output validation.
They take zod object and validate the output with given zod object.
@ZodArgs@InputTypeWithZodThese decorators will do input validation.
They take zod object and validate the input with given zod object.
modelFromZodBase: Takes a zod input, options and a
decorator to decorate the dynamically built class with (such as ObjectType).
modelFromZod: Takes a zod input and options to build
an ObjectType decorated class and return the class itself. The class will
contain the properties from the given zod input.
inputFromZod: Takes a zod input and options to build
an InputType decorated class and return the class itself. The class will
contain the properties from the given zod input.
getZodObject: Takes an object and returns the source zod object that is
used to build the class. For this function to return a defined value, the
classes should be built with keepZodObject option property set to true.
setDefaultTypeProvider: Takes a handler that will provide custom
GraphQLScalarTypes for any complex schemas. Therefore, it is also possible
to set, for example, JSONObject for z.record() validations.
getZodObjectName: This function is producing a type string for the passed
zod schema. The string will also be provided to the handler passed to
setDefaultTypeProvider function.
nestjs-graphql-zod to your dependencies in package.json.Classes which you can create with modelFromZod.
Use decorators for GraphQL action methods:
@MutationWithZod@QueryWithZod@SubscriptionWithZodor decorators for parameters:
@ZodArgsThese are the same with their corresponding GraphQL method decorators.
Yet, they work with zod objects.
import * as zod from 'zod' const UserZod = zod.object({ name: zod.string().describe('The name of the user'), age: zod.number().int().gt(10).describe('The age of the user.'), fields: zod.string().optional().array().optional().describe('The fields of the user'), sortBy: zod.enum([ 'asc', 'desc' ]).describe('The sorting parameter of user.') }).describe('ExampleUser: Represents an example user instance.') class UserResolver { @QueryWithZod(UserZod) async getUser() { // You can simply return an object to be parsed and if the parsing is // successful, then the data will be returned, otherwise an error will // be thrown. return { name: 'User Name', age: 15, fields: [ 'Field 1', 'Field 2' ], sortBy: 'asc' } } }
With the example above, you will have the following generated GraphQL schema
type if you use code-first approach:
""" Represents an example user instance.""" type ExampleUser { """The name of the user""" name: String! """The age of the user.""" age: Int! """The fields of the user""" fields: [String] """The sorting parameter of user.""" sortBy: ExampleUser_SortByEnum_0! } """The sorting parameter of user.""" enum ExampleUser_SortByEnum_0 { asc desc }
import * as zod from 'zod' const UserZod = zod.object({ name: zod.string().describe('The name of the user'), age: zod.number().int().gt(10).describe('The age of the user.'), fields: zod.string().optional().array().optional().describe('The fields of the user'), sortBy: zod.enum([ 'asc', 'desc' ]).describe('The sorting parameter of user.'), settings: zod.object({ darkTheme: zod.boolean().optional().describe('The dark theme setting'), ratio: zod.number().describe('This will be float by default'), profile: zod.object({ showImage: zod.boolean().describe('Indicates whether the user is showing images.'), }).describe('UserProfileSetting: Represents user profile settings.'), }).describe('ExampleUserSettings: The user settings.'), }).describe('ExampleUser: Represents an example user instance.') class UserResolver { @QueryWithZod(UserZod) async getUser() { // You can simply return an object to be parsed and if the parsing is // successful, then the data will be returned, otherwise an error will // be thrown. return { name: 'User Name', age: 15, fields: [ 'Field 1', 'Field 2' ], sortBy: 'asc', settings: { darkTheme: false, ratio: 2.5, profile: { showImage: true } } } } }
With the example above, you will have the following generated GraphQL schema
type if you use code-first approach:
""" Represents an example user instance.""" type ExampleUser { """The name of the user""" name: String! """The age of the user.""" age: Int! """The fields of the user""" fields: [String] """The sorting parameter of user.""" sortBy: ExampleUser_SortByEnum_0! """ExampleUserSettings: The user settings.""" settings: ExampleUser_Settings! } """The sorting parameter of user.""" enum ExampleUser_SortByEnum_0 { asc desc } """ExampleUserSettings: The user settings.""" type ExampleUser_Settings { """The dark theme setting""" darkTheme: Boolean """This will be float by default""" ratio: Float! """UserProfileSetting: Represents user profile settings.""" profile: ExampleUser_Settings_Profile! } """UserProfileSetting: Represents user profile settings.""" type ExampleUser_Settings_Profile { """Indicates whether the user is showing images.""" showImage: Boolean! }
import * as zod from 'zod' import { ZodArgs } from 'nestjs-graphql-zod' const RequestSchema = zod.object({ username: zod.string().min(5).max(20).describe('The username of the request owner'), email: zod.string().email().describe('The email of the user'), changes: zod.object({ themeSelection: zod.enum([ 'light', 'dark' ]).describe('The theme type'), permissions: zod.object({ add: zod.number().array().describe('The flags added to the user permissions'), remove: zod.number().array().describe('The flags removed to the user permissions'), isAdmin: zod.boolean().describe('Indicates if the user is an admin') }).describe('The permissions change set of the user') }).describe('The changes made by the user') }).describe('RequestSchema: The request schema type for changing user data') class ExampleResolver() { @Query(() => Boolean) processRequest(@ZodArgs(RequestSchema) input: ZodArgs.Of<typeof RequestSchema>) { // The input will contain all the properties validated according to the // schema defined above. If the validation was failed, the user will get // BadRequest error and this method will not be called. // The @ZodArgs(Schema) decorator is behaving like // @Args() + @InputType() decorators. // // The @InputType() is applied to underlying class, the @Args() is applied // to take the input as the parameter. By default, the name of the // property will be 'input'. This can be changed through the overloads // of the decorator. } }
With the example above, you will have the following generated GraphQL schema
type if you use code-first approach:
"""The request schema type for changing user data""" input RequestSchema { """The username of the request owner""" username: String! """The email of the user""" email: String! """The changes made by the user""" changes: RequestSchema_Changes! } """The request schema type for changing user data""" input RequestSchema_Changes { """The theme type""" themeSelection: RequestSchema_Changes_ThemeSelectionEnum_0! """The permissions change set of the user""" permissions: RequestSchema_Changes_Permissions! } """The theme type""" enum RequestSchema_Changes_ThemeSelectionEnum_0 { light dark } """The request schema type for changing user data""" input RequestSchema_Changes_Permissions { """The flags added to the user permissions""" add: [Float!]! """The flags removed to the user permissions""" remove: [Float!]! """Indicates if the user is an admin""" isAdmin: Boolean! }
Inline @ZodArgs example with complex type input.
setDefaultTypeProvider((typeName) => { if (typeName.startsWith('Record')) { return GraphQLJSONObject // a custom scalar type } // Otherwise, return no custom scalar type which will cause // a parsing error. }) class ExampleResolver() { @Query(() => Boolean) inlineExample( @ZodArgs(zod.number().gt(10).array()) numberArray: number[], @ZodArgs(zod.record(zod.number())) dictionary: Record<string, number>, @ZodArgs(zod.string().url().optional()) urlString?: string, ) { // Here the @ZodArgs(Schema) decorator is inlined and will produce // corresponding schema file. If the types are primitives, there will // be no custom proxy type creation. // The record example above will require a custom scalar type to be // provided. The provider function can be set in the decorator properties // or through the global/default setter function as in this example. } }
To support the project, you can send donations to following addresses:
- Bitcoin : bc1qtut2ss8udkr68p6k6axd0na6nhvngm5dqlyhtn - Bitcoin Cash: qzmmv43ztae0tfsjx8zf4wwnq3uk6k7zzgcfr9jruk - Ether : 0xf542BED91d0218D9c195286e660da2275EF8eC84