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convex-helpers

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A collection of useful code to complement the official convex package.

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import { ConvexError, v } from "convex/values"; import type { GenericId, GenericValidator, ObjectType, OptionalProperty, PropertyValidators, Validator, Value, VAny, VArray, VBoolean, VBytes, VFloat64, VId, VInt64, VLiteral, VNull, VObject, VOptional, VRecord, VString, VUnion, } from "convex/values"; import * as zCore from "zod/v4/core"; import * as z from "zod/v4"; import type { ActionBuilder, ArgsArrayToObject, DefaultFunctionArgs, FunctionVisibility, GenericActionCtx, GenericDataModel, GenericMutationCtx, GenericQueryCtx, MutationBuilder, QueryBuilder, TableNamesInDataModel, } from "convex/server"; import { pick, type Expand } from "../index.js"; import type { Customization, Registration } from "./customFunctions.js"; import { NoOp } from "./customFunctions.js"; import { addFieldsToValidator, vRequired, type VRequired, } from "../validators.js"; // #region Convex function definition with Zod /** * zCustomQuery is like customQuery, but allows validation via zod. * You can define custom behavior on top of `query` or `internalQuery` * by passing a function that modifies the ctx and args. Or NoOp to do nothing. * * Example usage: * ```ts * const myQueryBuilder = zCustomQuery(query, { * args: { sessionId: v.id("sessions") }, * input: async (ctx, args) => { * const user = await getUserOrNull(ctx); * const session = await db.get(sessionId); * const db = wrapDatabaseReader({ user }, ctx.db, rlsRules); * return { ctx: { db, user, session }, args: {} }; * }, * }); * * // Using the custom builder * export const getSomeData = myQueryBuilder({ * args: { someArg: z.string() }, * handler: async (ctx, args) => { * const { db, user, session, scheduler } = ctx; * const { someArg } = args; * // ... * } * }); * ``` * * Simple usage only modifying ctx: * ```ts * const myInternalQuery = zCustomQuery( * internalQuery, * customCtx(async (ctx) => { * return { * // Throws an exception if the user isn't logged in * user: await getUserByTokenIdentifier(ctx), * }; * }) * ); * * // Using it * export const getUser = myInternalQuery({ * args: { email: z.string().email() }, * handler: async (ctx, args) => { * console.log(args.email); * return ctx.user; * }, * }); * * @param query The query to be modified. Usually `query` or `internalQuery` * from `_generated/server`. * @param customization The customization to be applied to the query, changing ctx and args. * @returns A new query builder using zod validation to define queries. */ export function zCustomQuery< CustomArgsValidator extends PropertyValidators, CustomCtx extends Record<string, any>, CustomMadeArgs extends Record<string, any>, Visibility extends FunctionVisibility, DataModel extends GenericDataModel, ExtraArgs extends Record<string, any> = object, >( query: QueryBuilder<DataModel, Visibility>, customization: Customization< GenericQueryCtx<DataModel>, CustomArgsValidator, CustomCtx, CustomMadeArgs, ExtraArgs >, ) { return customFnBuilder(query, customization) as CustomBuilder< "query", CustomArgsValidator, CustomCtx, CustomMadeArgs, GenericQueryCtx<DataModel>, Visibility, ExtraArgs >; } /** * zCustomMutation is like customMutation, but allows validation via zod. * You can define custom behavior on top of `mutation` or `internalMutation` * by passing a function that modifies the ctx and args. Or NoOp to do nothing. * * Example usage: * ```ts * const myMutationBuilder = zCustomMutation(mutation, { * args: { sessionId: v.id("sessions") }, * input: async (ctx, args) => { * const user = await getUserOrNull(ctx); * const session = await db.get(sessionId); * const db = wrapDatabaseReader({ user }, ctx.db, rlsRules); * return { ctx: { db, user, session }, args: {} }; * }, * }); * * // Using the custom builder * export const getSomeData = myMutationBuilder({ * args: { someArg: z.string() }, * handler: async (ctx, args) => { * const { db, user, session, scheduler } = ctx; * const { someArg } = args; * // ... * } * }); * ``` * * Simple usage only modifying ctx: * ```ts * const myInternalMutation = zCustomMutation( * internalMutation, * customCtx(async (ctx) => { * return { * // Throws an exception if the user isn't logged in * user: await getUserByTokenIdentifier(ctx), * }; * }) * ); * * // Using it * export const getUser = myInternalMutation({ * args: { email: z.string().email() }, * handler: async (ctx, args) => { * console.log(args.email); * return ctx.user; * }, * }); * * @param mutation The mutation to be modified. Usually `mutation` or `internalMutation` * from `_generated/server`. * @param customization The customization to be applied to the mutation, changing ctx and args. * @returns A new mutation builder using zod validation to define queries. */ export function zCustomMutation< CustomArgsValidator extends PropertyValidators, CustomCtx extends Record<string, any>, CustomMadeArgs extends Record<string, any>, Visibility extends FunctionVisibility, DataModel extends GenericDataModel, ExtraArgs extends Record<string, any> = object, >( mutation: MutationBuilder<DataModel, Visibility>, customization: Customization< GenericMutationCtx<DataModel>, CustomArgsValidator, CustomCtx, CustomMadeArgs, ExtraArgs >, ) { return customFnBuilder(mutation, customization) as CustomBuilder< "mutation", CustomArgsValidator, CustomCtx, CustomMadeArgs, GenericMutationCtx<DataModel>, Visibility, ExtraArgs >; } /** * zCustomAction is like customAction, but allows validation via zod. * You can define custom behavior on top of `action` or `internalAction` * by passing a function that modifies the ctx and args. Or NoOp to do nothing. * * Example usage: * ```ts * const myActionBuilder = zCustomAction(action, { * args: { sessionId: v.id("sessions") }, * input: async (ctx, args) => { * const user = await getUserOrNull(ctx); * const session = await db.get(sessionId); * const db = wrapDatabaseReader({ user }, ctx.db, rlsRules); * return { ctx: { db, user, session }, args: {} }; * }, * }); * * // Using the custom builder * export const getSomeData = myActionBuilder({ * args: { someArg: z.string() }, * handler: async (ctx, args) => { * const { db, user, session, scheduler } = ctx; * const { someArg } = args; * // ... * } * }); * ``` * * Simple usage only modifying ctx: * ```ts * const myInternalAction = zCustomAction( * internalAction, * customCtx(async (ctx) => { * return { * // Throws an exception if the user isn't logged in * user: await getUserByTokenIdentifier(ctx), * }; * }) * ); * * // Using it * export const getUser = myInternalAction({ * args: { email: z.string().email() }, * handler: async (ctx, args) => { * console.log(args.email); * return ctx.user; * }, * }); * * @param action The action to be modified. Usually `action` or `internalAction` * from `_generated/server`. * @param customization The customization to be applied to the action, changing ctx and args. * @returns A new action builder using zod validation to define queries. */ export function zCustomAction< CustomArgsValidator extends PropertyValidators, CustomCtx extends Record<string, any>, CustomMadeArgs extends Record<string, any>, Visibility extends FunctionVisibility, DataModel extends GenericDataModel, ExtraArgs extends Record<string, any> = object, >( action: ActionBuilder<DataModel, Visibility>, customization: Customization< GenericActionCtx<DataModel>, CustomArgsValidator, CustomCtx, CustomMadeArgs, ExtraArgs >, ) { return customFnBuilder(action, customization) as CustomBuilder< "action", CustomArgsValidator, CustomCtx, CustomMadeArgs, GenericActionCtx<DataModel>, Visibility, ExtraArgs >; } // #endregion // #region Convex IDs /** * Creates a validator for a Convex `Id`. * * - When **used within Zod**, it will only check that the ID is a string. * - When **converted to a Convex validator** (e.g. through {@link zodToConvex}), * it will check that it's for the right table. * * @param tableName - The table that the `Id` references. i.e. `Id<tableName>` * @returns A Zod schema representing a Convex `Id` */ export const zid = < DataModel extends GenericDataModel, TableName extends TableNamesInDataModel<DataModel> = TableNamesInDataModel<DataModel>, >( tableName: TableName, ): Zid<TableName> => { const result = z.custom<GenericId<TableName>>( (val) => typeof val === "string", ); _zidRegistry.add(result, { tableName }); return result; }; /** The type of Convex validators in Zod */ export type Zid<TableName extends string> = z.ZodCustom<GenericId<TableName>> & zCore.$ZodRecordKey; /** * Useful to get the input context type for a custom function using Zod. */ export type ZCustomCtx<Builder> = Builder extends CustomBuilder< any, any, infer CustomCtx, any, infer InputCtx, any, any > ? Overwrite<InputCtx, CustomCtx> : never; // #endregion // #region Zod → Convex /** * Turns a Zod or Zod Mini validator into a Convex validator. * * The Convex validator will be as close to possible to the Zod validator, * but might be broader than the Zod validator: * * ```ts * zodToConvex(z.string().email()) // → v.string() * ``` * * This function is useful when running the Zod validator _after_ running the Convex validator * (i.e. the Convex validator validates the input of the Zod validator). Hence, the Convex types * will match the _input type_ of Zod transformations: * ```ts * zodToConvex(z.object({ * name: z.string().default("Nicolas"), * })) // → v.object({ name: v.optional(v.string()) }) * * zodToConvex(z.object({ * name: z.string().transform(s => s.length) * })) // → v.object({ name: v.string() }) * ```` * * This function is useful for: * * **Validating function arguments with Zod**: through {@link zCustomQuery}, * {@link zCustomMutation} and {@link zCustomAction}, you can define the argument validation logic * using Zod validators instead of Convex validators. `zodToConvex` will generate a Convex validator * from your Zod validator. This will allow you to: * - validate at run time that Convex IDs are from the right table (using {@link zid}) * - allow some features of Convex to understand the expected shape of the arguments * (e.g. argument validation/prefilling in the function runner on the Convex dashboard) * - still run the full Zod validation when the function runs * (which is useful for more advanced Zod validators like `z.string().email()`) * * **Validating data after reading it from the database**: if you want to write your DB schema * with Zod, you can run Zod whenever you read from the database to check that the data * still matches the schema. Note that this approach won’t ensure that the data stored in the DB * matches the Zod schema; see * https://stack.convex.dev/typescript-zod-function-validation#can-i-use-zod-to-define-my-database-types-too * for more details. * * Note that some values might be valid in Zod but not in Convex, * in the same way that valid JavaScript values might not be valid * Convex values for the corresponding Convex type. * (see the limits of Convex data types on https://docs.convex.dev/database/types). * * ``` * ┌─────────────────────────────────────┬─────────────────────────────────────┐ * │ **zodToConvex** │ zodOutputToConvex │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ For when the Zod validator runs │ For when the Zod validator runs │ * │ _after_ the Convex validator │ _before_ the Convex validator │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ Convex types use the _input types_ │ Convex types use the _return types_ │ * │ of Zod transformations │ of Zod transformations │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ The Convex validator can be less │ The Convex validator can be less │ * │ strict (i.e. some inputs might be │ strict (i.e. the type in Convex can │ * │ accepted by Convex then rejected │ be less precise than the type in │ * │ by Zod) │ the Zod output) │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ When using Zod schemas │ When using Zod schemas │ * │ for function definitions: │ for function definitions: │ * │ used for _arguments_ │ used for _return values_ │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ When validating contents of the │ When validating contents of the │ * │ database with a Zod schema: │ database with a Zod schema: │ * │ used to validate data │ used to validate data │ * │ _after reading_ │ _before writing_ │ * └─────────────────────────────────────┴─────────────────────────────────────┘ * ``` * * @param zod Zod validator can be a Zod object, or a Zod type like `z.string()` * @returns Convex Validator (e.g. `v.string()` from "convex/values") * @throws If there is no equivalent Convex validator for the value (e.g. `z.date()`) */ export function zodToConvex<Z extends zCore.$ZodType>( validator: Z, ): ConvexValidatorFromZod<Z, "required"> { const visited = new WeakSet<zCore.$ZodType>(); function zodToConvexInner(validator: zCore.$ZodType): GenericValidator { // Circular validator definitions are not supported by Convex validators, // so we use v.any() when there is a cycle. if (visited.has(validator)) { return v.any(); } visited.add(validator); const result = validator instanceof zCore.$ZodDefault ? v.optional(zodToConvexInner(validator._zod.def.innerType)) : validator instanceof zCore.$ZodPipe ? zodToConvexInner(validator._zod.def.in) : zodToConvexCommon(validator, zodToConvexInner); // After returning, we remove the validator from the visited set because // we only want to detect circular types, not cases where part of a type // is reused (e.g. `v.object({ field1: mySchema, field2: mySchema })`). visited.delete(validator); return result; } // `as any` because ConvexValidatorFromZod is defined from the behavior of zodToConvex. // We assume the type is correct to simplify the life of the compiler. return zodToConvexInner(validator) as any; } /** * Converts a Zod or Zod Mini validator to a Convex validator that checks the value _after_ * it has been validated (and possibly transformed) by the Zod validator. * * This is similar to {@link zodToConvex}, but is meant for cases where the Convex * validator runs _after_ the Zod validator. Thus, the Convex type refers to the * _output_ type of the Zod transformations: * ```ts * zodOutputToConvex(z.object({ * name: z.string().default("Nicolas"), * })) // → v.object({ name: v.string() }) * * zodOutputToConvex(z.object({ * name: z.string().transform(s => s.length) * })) // → v.object({ name: v.number() }) * ```` * * This function can be useful for: * - **Validating function return values with Zod**: through {@link zCustomQuery}, * {@link zCustomMutation} and {@link zCustomAction}, you can define the `returns` property * of a function using Zod validators instead of Convex validators. * - **Validating data after reading it from the database**: if you want to write your DB schema * Zod validators, you can run Zod whenever you write to the database to ensure your data matches * the expected format. Note that this approach won’t ensure that the data stored in the DB * isn’t modified manually in a way that doesn’t match your Zod schema; see * https://stack.convex.dev/typescript-zod-function-validation#can-i-use-zod-to-define-my-database-types-too * for more details. * * ``` * ┌─────────────────────────────────────┬─────────────────────────────────────┐ * │ zodToConvex │ **zodOutputToConvex** │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ For when the Zod validator runs │ For when the Zod validator runs │ * │ _after_ the Convex validator │ _before_ the Convex validator │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ Convex types use the _input types_ │ Convex types use the _return types_ │ * │ of Zod transformations │ of Zod transformations │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ The Convex validator can be less │ The Convex validator can be less │ * │ strict (i.e. some inputs might be │ strict (i.e. the type in Convex can │ * │ accepted by Convex then rejected │ be less precise than the type in │ * │ by Zod) │ the Zod output) │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ When using Zod schemas │ When using Zod schemas │ * │ for function definitions: │ for function definitions: │ * │ used for _arguments_ │ used for _return values_ │ * ├─────────────────────────────────────┼─────────────────────────────────────┤ * │ When validating contents of the │ When validating contents of the │ * │ database with a Zod schema: │ database with a Zod schema: │ * │ used to validate data │ used to validate data │ * │ _after reading_ │ _before writing_ │ * └─────────────────────────────────────┴─────────────────────────────────────┘ * ``` * * @param z The zod validator * @returns Convex Validator (e.g. `v.string()` from "convex/values") * @throws If there is no equivalent Convex validator for the value (e.g. `z.date()`) */ export function zodOutputToConvex<Z extends zCore.$ZodType>( validator: Z, ): ConvexValidatorFromZodOutput<Z, "required"> { const visited = new WeakSet<zCore.$ZodType>(); function zodOutputToConvexInner(validator: zCore.$ZodType): GenericValidator { // Circular validator definitions are not supported by Convex validators, // so we use v.any() when there is a cycle. if (visited.has(validator)) { return v.any(); } visited.add(validator); const result = validator instanceof zCore.$ZodDefault ? zodOutputToConvexInner(validator._zod.def.innerType) : validator instanceof zCore.$ZodPipe ? zodOutputToConvexInner(validator._zod.def.out) : validator instanceof zCore.$ZodTransform ? v.any() : zodToConvexCommon(validator, zodOutputToConvexInner); // After returning, we remove the validator from the visited set because // we only want to detect circular types, not cases where part of a type // is reused (e.g. `v.object({ field1: mySchema, field2: mySchema })`). visited.delete(validator); return result; } // `as any` because ConvexValidatorFromZodOutput is defined from the behavior of zodOutputToConvex. // We assume the type is correct to simplify the life of the compiler. return zodOutputToConvexInner(validator) as any; } type ZodFields = Record<string, zCore.$ZodType>; /** * Like {@link zodToConvex}, but it takes in a bare object, as expected by Convex * function arguments, or the argument to {@link defineTable}. * * ```ts * zodToConvexFields({ * name: z.string().default("Nicolas"), * }) // → { name: v.optional(v.string()) } * ``` * * @param fields Object with string keys and Zod validators as values * @returns Object with the same keys, but with Convex validators as values */ export function zodToConvexFields<Fields extends ZodFields>(fields: Fields) { return Object.fromEntries( Object.entries(fields).map(([k, v]) => [k, zodToConvex(v)]), ) as { [k in keyof Fields]: Fields[k] extends zCore.$ZodType ? ConvexValidatorFromZod<Fields[k], "required"> : never; }; } /** * Like {@link zodOutputToConvex}, but it takes in a bare object, as expected by * Convex function arguments, or the argument to {@link defineTable}. * * ```ts * zodOutputToConvexFields({ * name: z.string().default("Nicolas"), * }) // → { name: v.string() } * ``` * * This is different from {@link zodToConvexFields} because it generates the * Convex validator for the output of the Zod validator, not the input; * see the documentation of {@link zodToConvex} and {@link zodOutputToConvex} * for more details. * * @param zod Object with string keys and Zod validators as values * @returns Object with the same keys, but with Convex validators as values */ export function zodOutputToConvexFields<Fields extends ZodFields>( fields: Fields, ) { return Object.fromEntries( Object.entries(fields).map(([k, v]) => [k, zodOutputToConvex(v)]), ) as { [k in keyof Fields]: ConvexValidatorFromZodOutput<Fields[k], "required">; }; } // #endregion // #region Convex → Zod /** * Turns a Convex validator into a Zod validator. * * This is useful when you want to use types you defined using Convex validators * with external libraries that expect to receive a Zod validator. * * ```ts * convexToZod(v.string()) // → z.string() * ``` * * This function returns Zod validators, not Zod Mini validators. * * @param convexValidator Convex validator can be any validator from "convex/values" e.g. `v.string()` * @returns Zod validator (e.g. `z.string()`) with inferred type matching the Convex validator */ export function convexToZod<V extends GenericValidator>( convexValidator: V, ): ZodValidatorFromConvex<V> { const isOptional = (convexValidator as any).isOptional === "optional"; let zodValidator: zCore.$ZodType; const { kind } = convexValidator; switch (kind) { case "id": convexValidator satisfies VId<any>; zodValidator = zid(convexValidator.tableName); break; case "string": zodValidator = z.string(); break; case "float64": zodValidator = z.number(); break; case "int64": zodValidator = z.bigint(); break; case "boolean": zodValidator = z.boolean(); break; case "null": zodValidator = z.null(); break; case "any": zodValidator = z.any(); break; case "array": { convexValidator satisfies VArray<any, any>; zodValidator = z.array(convexToZod(convexValidator.element)); break; } case "object": { convexValidator satisfies VObject<any, any>; zodValidator = z.object(convexToZodFields(convexValidator.fields)); break; } case "union": { convexValidator satisfies VUnion<any, any, any, any>; if (convexValidator.members.length === 0) { zodValidator = z.never(); break; } if (convexValidator.members.length === 1) { zodValidator = convexToZod(convexValidator.members[0]!); break; } const memberValidators = convexValidator.members.map( (member: GenericValidator) => convexToZod(member), ); zodValidator = z.union([...memberValidators]); break; } case "literal": { const literalValidator = convexValidator as VLiteral<any>; zodValidator = z.literal(literalValidator.value); break; } case "record": { convexValidator satisfies VRecord<any, any, any, any, any>; zodValidator = z.record( convexToZod(convexValidator.key) as zCore.$ZodRecordKey, convexToZod(convexValidator.value), ); break; } case "bytes": throw new Error("v.bytes() is not supported"); default: kind satisfies never; throw new Error(`Unknown convex validator type: ${kind}`); } return isOptional ? (z.optional(zodValidator) as ZodValidatorFromConvex<V>) : (zodValidator as ZodValidatorFromConvex<V>); } /** * Like {@link convexToZod}, but it takes in a bare object, as expected by Convex * function arguments, or the argument to {@link defineTable}. * * ```ts * convexToZodFields({ * name: v.string(), * }) // → { name: z.string() } * ``` * * @param convexValidators Object with string keys and Convex validators as values * @returns Object with the same keys, but with Zod validators as values */ export function convexToZodFields<C extends PropertyValidators>( convexValidators: C, ) { return Object.fromEntries( Object.entries(convexValidators).map(([k, v]) => [k, convexToZod(v)]), ) as { [k in keyof C]: ZodValidatorFromConvex<C[k]> }; } // #endregion // #region Utils /** * Zod helper for adding Convex system fields to a record to return. * * ```ts * withSystemFields("users", { * name: z.string(), * }) * // → { * // name: z.string(), * // _id: zid("users"), * // _creationTime: z.number(), * // } * ``` * * @param tableName - The table where records are from, i.e. Doc<tableName> * @param zObject - Validators for the user-defined fields on the document. * @returns Zod shape for use with `z.object(shape)` that includes system fields. */ export function withSystemFields< Table extends string, T extends { [key: string]: zCore.$ZodType }, >(tableName: Table, zObject: T) { return { ...zObject, _id: zid(tableName), _creationTime: z.number() }; } // #endregion // #region Implementation: Convex function definition with Zod /** * A builder that customizes a Convex function, whether or not it validates * arguments. If the customization requires arguments, however, the resulting * builder will require argument validation too. */ export type CustomBuilder< FuncType extends "query" | "mutation" | "action", CustomArgsValidator extends PropertyValidators, CustomCtx extends Record<string, any>, CustomMadeArgs extends Record<string, any>, InputCtx, Visibility extends FunctionVisibility, ExtraArgs extends Record<string, any>, > = { < ArgsValidator extends ZodFields | zCore.$ZodObject<any> | void, ReturnsZodValidator extends zCore.$ZodType | ZodFields | void = void, ReturnValue extends ReturnValueInput<ReturnsZodValidator> = any, // Note: this differs from customFunctions.ts b/c we don't need to track // the exact args to match the standard builder types. For Zod we don't // try to ever pass a custom function as a builder to another custom // function, so we can be looser here. >( func: | ({ /** * Specify the arguments to the function as a Zod validator. */ args?: ArgsValidator; handler: ( ctx: Overwrite<InputCtx, CustomCtx>, ...args: ArgsForHandlerType< ArgsOutput<ArgsValidator>, CustomMadeArgs > ) => ReturnValue; /** * Validates the value returned by the function. * Note: you can't pass an object directly without wrapping it * in `z.object()`. */ returns?: ReturnsZodValidator; /** * If true, the function will not be validated by Convex, * in case you're seeing performance issues with validating twice. */ skipConvexValidation?: boolean; } & { [key in keyof ExtraArgs as key extends | "args" | "handler" | "skipConvexValidation" | "returns" ? never : key]: ExtraArgs[key]; }) | { ( ctx: Overwrite<InputCtx, CustomCtx>, ...args: ArgsForHandlerType< ArgsOutput<ArgsValidator>, CustomMadeArgs > ): ReturnValue; }, ): Registration< FuncType, Visibility, ArgsArrayToObject< CustomArgsValidator extends Record<string, never> ? ArgsInput<ArgsValidator> : ArgsInput<ArgsValidator> extends [infer A] ? [Expand<A & ObjectType<CustomArgsValidator>>] : [ObjectType<CustomArgsValidator>] >, ReturnsZodValidator extends void ? ReturnValue : ReturnValueOutput<ReturnsZodValidator> >; }; function customFnBuilder( builder: (args: any) => any, customization: Customization<any, any, any, any, any>, ) { // Most of the code in here is identical to customFnBuilder in zod3.ts. // If making changes, please keep zod3.ts in sync. // Looking forward to when input / args / ... are optional const customInput: Customization<any, any, any, any, any>["input"] = customization.input ?? NoOp.input; const inputArgs = customization.args ?? NoOp.args; return function customBuilder(fn: any): any { const { args, handler = fn, skipConvexValidation = false, returns: maybeObject, ...extra } = fn; const returns = maybeObject && !(maybeObject instanceof zCore.$ZodType) ? z.object(maybeObject) : maybeObject; const returnValidator = returns && !skipConvexValidation ? { returns: zodOutputToConvex(returns) } : null; if (args) { let argsValidator = args; if (argsValidator instanceof zCore.$ZodType) { if (argsValidator instanceof zCore.$ZodObject) { argsValidator = argsValidator._zod.def.shape; } else { throw new Error( "Unsupported zod type as args validator: " + argsValidator.constructor.name, ); } } const convexValidator = zodToConvexFields(argsValidator); return builder({ args: skipConvexValidation ? undefined : addFieldsToValidator(convexValidator, inputArgs), ...returnValidator, handler: async (ctx: any, allArgs: any) => { const added = await customInput( ctx, pick(allArgs, Object.keys(inputArgs)) as any, extra, ); const rawArgs = pick(allArgs, Object.keys(argsValidator)); const parsed = await z.object(argsValidator).safeParseAsync(rawArgs); if (!parsed.success) { throw new ConvexError({ ZodError: JSON.parse( JSON.stringify(parsed.error.issues, null, 2), ) as Value[], }); } const args = parsed.data; const finalCtx = { ...ctx, ...added.ctx }; const finalArgs = { ...args, ...added.args }; const ret = await handler(finalCtx, finalArgs); // We don't catch the error here. It's a developer error and we // don't want to risk exposing the unexpected value to the client. const result = returns ? await returns.parseAsync(ret === undefined ? null : ret) : ret; if (added.onSuccess) { await added.onSuccess({ ctx, args, result }); } return result; }, }); } if (skipConvexValidation && Object.keys(inputArgs).length > 0) { throw new Error( "If you're using a custom function with arguments for the input " + "customization, you cannot skip convex validation.", ); } return builder({ ...returnValidator, handler: async (ctx: any, args: any) => { const added = await customInput(ctx, args, extra); const finalCtx = { ...ctx, ...added.ctx }; const finalArgs = { ...args, ...added.args }; const ret = await handler(finalCtx, finalArgs); // We don't catch the error here. It's a developer error and we // don't want to risk exposing the unexpected value to the client. const result = returns ? await returns.parseAsync(ret === undefined ? null : ret) : ret; if (added.onSuccess) { await added.onSuccess({ ctx, args, result }); } return result; }, }); }; } type ArgsForHandlerType< OneOrZeroArgs extends [] | [Record<string, any>], CustomMadeArgs extends Record<string, any>, > = CustomMadeArgs extends Record<string, never> ? OneOrZeroArgs : OneOrZeroArgs extends [infer A] ? [Expand<A & CustomMadeArgs>] : [CustomMadeArgs]; // Copied from convex/src/server/api.ts since they aren't exported type NullToUndefinedOrNull<T> = T extends null ? T | undefined | void : T; type Returns<T> = Promise<NullToUndefinedOrNull<T>> | NullToUndefinedOrNull<T>; // The return value before it's been validated: returned by the handler type ReturnValueInput< ReturnsValidator extends zCore.$ZodType | ZodFields | void, > = [ReturnsValidator] extends [zCore.$ZodType] ? Returns<zCore.input<ReturnsValidator>> : [ReturnsValidator] extends [ZodFields] ? Returns<zCore.input<zCore.$ZodObject<ReturnsValidator>>> : any; // The return value after it's been validated: returned to the client type ReturnValueOutput< ReturnsValidator extends zCore.$ZodType | ZodFields | void, > = [ReturnsValidator] extends [zCore.$ZodType] ? Returns<zCore.output<ReturnsValidator>> : [ReturnsValidator] extends [ZodFields] ? Returns<zCore.output<zCore.$ZodObject<ReturnsValidator, zCore.$strict>>> : any; // The args before they've been validated: passed from the client type ArgsInput<ArgsValidator extends ZodFields | zCore.$ZodObject<any> | void> = [ArgsValidator] extends [zCore.$ZodObject<any>] ? [zCore.input<ArgsValidator>] : ArgsValidator extends Record<string, never> ? // eslint-disable-next-line @typescript-eslint/no-empty-object-type [{}] : [ArgsValidator] extends [Record<string, z.ZodTypeAny>] ? [zCore.input<zCore.$ZodObject<ArgsValidator, zCore.$strict>>] : OneArgArray; // The args after they've been validated: passed to the handler type ArgsOutput< ArgsValidator extends ZodFields | zCore.$ZodObject<any> | void, > = [ArgsValidator] extends [zCore.$ZodObject<any>] ? [zCore.output<ArgsValidator>] : [ArgsValidator] extends [ZodFields] ? [zCore.output<zCore.$ZodObject<ArgsValidator, zCore.$strict>>] : OneArgArray; type Overwrite<T, U> = Omit<T, keyof U> & U; type OneArgArray<ArgsObject extends DefaultFunctionArgs = DefaultFunctionArgs> = [ArgsObject]; // #endregion // #region Implementation: Zod → Convex /** * Return type of {@link zodToConvex}. */ export type ConvexValidatorFromZod< Z extends zCore.$ZodType, IsOptional extends "required" | "optional", > = // `unknown` / `any`: we can’t infer a precise return type at compile time IsUnknownOrAny<Z> extends true ? GenericValidator : // z.default() Z extends zCore.$ZodDefault<infer Inner extends zCore.$ZodType> // input: Treat like optional ? VOptional<ConvexValidatorFromZod<Inner, "optional">> : // z.pipe() Z extends zCore.$ZodPipe< infer Input extends zCore.$ZodType, infer _Output extends zCore.$ZodType > ? ConvexValidatorFromZod<Input, IsOptional> : // All other schemas have the same input/output types ConvexValidatorFromZodCommon<Z, IsOptional>; /** * Return type of {@link zodOutputToConvex}. */ export type ConvexValidatorFromZodOutput< Z extends zCore.$ZodType, IsOptional extends "required" | "optional", > = // `unknown` / `any`: we can’t infer a precise return type at compile time IsUnknownOrAny<Z> extends true ? GenericValidator : // z.default() Z extends zCore.$ZodDefault<infer Inner extends zCore.$ZodType> // output: always there ? VRequired<ConvexValidatorFromZod<Inner, "required">> : // z.pipe() Z extends zCore.$ZodPipe< infer _Input extends zCore.$ZodType, infer Output extends zCore.$ZodType > ? ConvexValidatorFromZod<Output, IsOptional> : // All other schemas have the same input/output types ConvexValidatorFromZodCommon<Z, IsOptional>; // Conversions used for both zodToConvex and zodOutputToConvex type ConvexValidatorFromZodCommon< Z extends zCore.$ZodType, IsOptional extends "required" | "optional", > = // Basic types Z extends Zid<infer TableName> ? VId<GenericId<TableName>> : Z extends zCore.$ZodString ? VString<zCore.infer<Z>, IsOptional> : Z extends zCore.$ZodNumber ? VFloat64<zCore.infer<Z>, IsOptional> : Z extends zCore.$ZodNaN ? VFloat64<zCore.infer<Z>, IsOptional> : Z extends zCore.$ZodBigInt ? VInt64<zCore.infer<Z>, IsOptional> : Z extends zCore.$ZodBoolean ? VBoolean<zCore.infer<Z>, IsOptional> : Z extends zCore.$ZodNull ? VNull<zCore.infer<Z>, IsOptional> : Z extends zCore.$ZodUnknown ? VAny<any, "required"> : Z extends zCore.$ZodAny ? VAny<zCore.infer<Z>, "required"> : // z.array() Z extends zCore.$ZodArray< infer Inner extends zCore.$ZodType > ? ConvexValidatorFromZod< Inner, "required" > extends GenericValidator ? VArray< ConvexValidatorFromZod<Inner, "required">["type"][], ConvexValidatorFromZod<Inner, "required">, IsOptional > : never : // z.object() Z extends zCore.$ZodObject< infer Fields extends Readonly<zCore.$ZodShape> > ? VObject< zCore.infer<Z>, ConvexObjectFromZodShape<Fields>, IsOptional > : // z.never() (→ z.union() with no elements) Z extends zCore.$ZodNever ? VUnion<never, [], IsOptional, never> : // z.union() Z extends zCore.$ZodUnion< infer T extends readonly zCore.$ZodType[] > ? ConvexUnionValidatorFromZod<T> : // z.tuple() Z extends zCore.$ZodTuple< infer Inner extends readonly zCore.$ZodType[], infer Rest extends null | zCore.$ZodType > ? VArray< null extends Rest ? Array< ConvexValidatorFromZod< Inner[number], "required" >["type"] > : Array< | ConvexValidatorFromZod< Inner[number], "required" >["type"] | zCore.infer<Rest> >, null extends Rest ? ConvexUnionValidatorFromZod<Inner> : ConvexUnionValidatorFromZod< [ ...Inner, Rest extends zCore.$ZodType // won’t be null here ? Rest : never, ] >, IsOptional > : // z.literal() Z extends zCore.$ZodLiteral< infer Literal extends zCore.util.Literal > ? ConvexLiteralFromZod<Literal, IsOptional> : // z.enum() Z extends zCore.$ZodEnum< infer EnumContents extends zCore.util.EnumLike > ? VUnion< zCore.infer<Z>, keyof EnumContents extends string ? { [K in keyof EnumContents]: VLiteral< EnumContents[K], "required" >; }[keyof EnumContents][] : never, IsOptional > : // z.optional() Z extends zCore.$ZodOptional< infer Inner extends zCore.$ZodType > ? VOptional< ConvexValidatorFromZod< Inner, "optional" > > : // z.nonoptional() Z extends zCore.$ZodNonOptional< infer Inner extends zCore.$ZodType > ? VRequired< ConvexValidatorFromZod< Inner, "required" > > : // z.nullable() Z extends zCore.$ZodNullable< infer Inner extends zCore.$ZodType > ? ConvexValidatorFromZod< Inner, IsOptional > extends Validator< any, "optional", any > ? VUnion< | ConvexValidatorFromZod< Inner, IsOptional >["type"] | null | undefined, [ VRequired< ConvexValidatorFromZod< Inner, IsOptional > >, VNull, ], "optional", ConvexValidatorFromZod< Inner, IsOptional >["fieldPaths"] > : VUnion< | ConvexValidatorFromZod< Inner, IsOptional >["type"] | null, [ VRequired< ConvexValidatorFromZod< Inner, IsOptional > >, VNull, ], IsOptional, ConvexValidatorFromZod< Inner, IsOptional >["fieldPaths"] > : // z.brand() Z extends zCore.$ZodBranded< infer Inner extends zCore.$ZodType, infer Brand > ? Inner extends zCore.$ZodString ? VString< string & zCore.$brand<Brand>, IsOptional > : Inner extends zCore.$ZodNumber ? VFloat64< number & zCore.$brand<Brand>, IsOptional > : Inner extends zCore.$ZodBigInt ? VInt64< bigint & zCore.$brand<Brand>, IsOptional > : Inner extends zCore.$ZodObject< infer Fields extends Readonly<zCore.$ZodShape> > ? VObject< zCore.infer<Inner> & zCore.$brand<Brand>, ConvexObjectFromZodShape<Fields>, IsOptional > : ConvexValidatorFromZod< Inner, IsOptional > : // z.record() Z extends zCore.$ZodRecord< infer Key extends zCore.$ZodRecordKey, infer Value extends zCore.$ZodType > ? ConvexValidatorFromZodRecord< Key, Value, IsOptional > : // z.readonly() Z extends zCore.$ZodReadonly< infer Inner extends zCore.$ZodType > ? ConvexValidatorFromZod< Inner, IsOptional > : // z.lazy()