@palmares/schemas
Version:
This defines a default schema definition for validation of data, it abstract popular schema validation libraries like zod, yup, valibot and others"
537 lines • 21.2 kB
TypeScript
import { Schema } from './schema';
import type { DefinitionsOfSchemaType } from './types';
import type { SchemaAdapter } from '../adapter';
export declare class DatetimeSchema<TType extends {
input: any;
validate: any;
internal: any;
output: any;
representation: any;
} = {
input: Date;
output: string;
internal: Date;
representation: string;
validate: Date;
}, TDefinitions extends DefinitionsOfSchemaType = DefinitionsOfSchemaType<SchemaAdapter & Palmares.PSchemaAdapter>> extends Schema<TType, TDefinitions> {
protected fieldType: string;
protected __allowString: boolean;
protected __above: {
value: Date;
inclusive: boolean;
message: string;
};
protected __below: {
value: Date;
inclusive: boolean;
message: string;
};
protected __type: {
message: string;
check: (value: TType['input']) => boolean;
};
protected __transformToAdapter(options: Parameters<Schema['__transformToAdapter']>[0]): Promise<any>;
/**
* This let's you refine the schema with custom validations. This is useful when you want to validate something
* that is not supported by default by the schema adapter.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* const numberSchema = p.number().refine((value) => {
* if (value < 0) return { code: 'invalid_number', message: 'The number should be greater than 0' };
* });
*
* const { errors, parsed } = await numberSchema.parse(-1);
*
* // [{ isValid: false, code: 'invalid_number', message: 'The number should be greater than 0', path: [] }]
* console.log(errors);
* ```
*
* @param refinementCallback - The callback that will be called to validate the value.
* @param options - Options for the refinement.
* @param options.isAsync - Whether the callback is async or not. Defaults to true.
*
* @returns The schema.
*/
refine<TRefinementCallback extends (args: {
value: TType['input'];
context: TDefinitions['context'];
}) => Promise<void | undefined | {
code: string;
message: string;
}>>(refinementCallback: TRefinementCallback): DatetimeSchema<{
input: TType['input'];
validate: TType['validate'];
internal: TType['internal'];
output: TType['output'];
representation: TType['representation'];
}, TDefinitions>;
/**
* Allows the value to be either undefined or null.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* const numberSchema = p.number().optional();
*
* const { errors, parsed } = await numberSchema.parse(undefined);
*
* console.log(parsed); // undefined
*
* const { errors, parsed } = await numberSchema.parse(null);
*
* console.log(parsed); // null
*
* const { errors, parsed } = await numberSchema.parse(1);
*
* console.log(parsed); // 1
* ```
*
* @returns - The schema we are working with.
*/
optional(options?: {
message: string;
allow: false;
}): DatetimeSchema<{
input: TType["input"] | undefined | null;
validate: TType["validate"] | undefined | null;
internal: TType["internal"] | undefined | null;
output: TType["output"] | undefined | null;
representation: TType["representation"] | undefined | null;
}, TDefinitions>;
/**
* Just adds a message when the value is undefined. It's just a syntax sugar for
*
* ```typescript
* p.datetime().optional({ message: 'This value should be defined', allow: false })
* ```
*
* @param options - The options of nonOptional function
* @param options.message - A custom message if the value is undefined.
*
* @returns - The schema.
*/
nonOptional(options?: {
message: string;
}): DatetimeSchema<{
input: TType["input"];
validate: TType["validate"];
internal: TType["internal"];
output: TType["output"];
representation: TType["representation"];
}, TDefinitions>;
/**
* Allows the value to be null and ONLY null. You can also use this function to set a custom message when the value
* is NULL by setting the { message: 'Your custom message', allow: false } on the options.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* const numberSchema = p.number().nullable();
*
* const { errors, parsed } = await numberSchema.parse(null);
*
* console.log(parsed); // null
*
* const { errors, parsed } = await numberSchema.parse(undefined);
*
* console.log(errors); // [{ isValid: false, code: 'invalid_type', message: 'Invalid type', path: [] }]
* ```
*
* @param options - The options for the nullable function.
* @param options.message - The message to be shown when the value is not null. Defaults to 'Cannot be null'.
* @param options.allow - Whether the value can be null or not. Defaults to true.
*
* @returns The schema.
*/
nullable(options?: {
message: string;
allow: false;
}): DatetimeSchema<{
input: TType["input"] | null;
validate: TType["validate"] | null;
internal: TType["internal"] | null;
output: TType["output"] | null;
representation: TType["representation"] | null;
}, TDefinitions>;
/**
* Just adds a message when the value is null. It's just a syntax sugar for
*
* ```typescript
* p.datetime().nullable({ message: 'This value cannot be null', allow: false })
* ```
*
* @param options - The options of nonNullable function
* @param options.message - A custom message if the value is null.
*
* @returns - The schema.
*/
nonNullable(options?: {
message: string;
}): DatetimeSchema<{
input: TType["input"];
validate: TType["validate"];
internal: TType["internal"];
output: TType["output"];
representation: TType["representation"];
}, TDefinitions>;
/**
* This method will remove the value from the representation of the schema. If the value is undefined it will keep
* that way otherwise it will set the value to undefined after it's validated.
* This is used in conjunction with the {@link data} function, the {@link parse} function or {@link validate}
* function. This will remove the value from the representation of the schema.
*
* By default, the value will be removed just from the representation, in other words, when you call the {@link data}
* function.But if you want to remove the value from the internal representation, you can pass the argument
* `toInternal` as true. Then if you still want to remove the value from the representation, you will need to pass
* the argument `toRepresentation` as true as well.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* const userSchema = p.object({
* id: p.number().optional(),
* name: p.string(),
* password: p.string().omit()
* });
*
* const user = await userSchema.data({
* id: 1,
* name: 'John Doe',
* password: '123456'
* });
*
* console.log(user); // { id: 1, name: 'John Doe' }
* ```
*
*
* @param args - By default, the value will be removed just from the representation, in other words, when you call
* the {@link data} function.
* But if you want to remove the value from the internal representation, you can pass the argument `toInternal` as
* true. Then if you still want to remove the value from the representation, you will need to pass the argument
* `toRepresentation` as true as well.
*
* @returns The schema.
*/
omit<TToInternal extends boolean, TToRepresentation extends boolean = boolean extends TToInternal ? true : false>(args?: {
toInternal?: TToInternal;
toRepresentation?: TToRepresentation;
}): DatetimeSchema<{
input: TToInternal extends true ? TType["input"] | undefined : TType["input"];
validate: TToInternal extends true ? TType["validate"] | undefined : TType["validate"];
internal: TToInternal extends true ? undefined : TType["internal"];
output: TToRepresentation extends true ? TType["output"] | undefined : TType["output"];
representation: TToRepresentation extends true ? undefined : TType["representation"];
}, TDefinitions>;
/**
* This function is used in conjunction with the {@link validate} function. It's used to save a value to an external
* source like a database. You should always return the schema after you save the value, that way we will always have
* the correct type of the schema after the save operation.
*
* You can use the {@link toRepresentation} function to transform and clean the value it returns after the save.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* import { User } from './models';
*
* const userSchema = p.object({
* id: p.number().optional(),
* name: p.string(),
* email: p.string().email(),
* }).onSave(async (value) => {
* // Create or update the user on the database using palmares models or any other library of your choice.
* if (value.id)
* await User.default.set(value, { search: { id: value.id } });
* else
* await User.default.set(value);
*
* return value;
* });
*
*
* // Then, on your controller, do something like this:
* const { isValid, save, errors } = await userSchema.validate(req.body);
* if (isValid) {
* const savedValue = await save();
* return Response.json(savedValue, { status: 201 });
* }
*
* return Response.json({ errors }, { status: 400 });
* ```
*
* @param callback - The callback that will be called to save the value on an external source.
*
* @returns The schema.
*/
onSave<TSave extends ((value: TType['internal']) => (context: any) => Promise<TType['output']>) | ((value: TType['internal']) => Promise<TType['output']>)>(callback: TSave): DatetimeSchema<{
input: TType['input'];
validate: TType['validate'];
internal: TType['internal'];
output: TType['output'];
representation: TType['representation'];
}, Omit<TDefinitions, 'hasSave' | 'context'> & {
hasSave: true;
context: ReturnType<TSave> extends (context: any) => any ? Parameters<ReturnType<TSave>>[0] : any;
}>;
/**
* This function is used to add a default value to the schema. If the value is either undefined or null, the default
* value will be used.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* const numberSchema = p.number().default(0);
*
* const { errors, parsed } = await numberSchema.parse(undefined);
*
* console.log(parsed); // 0
* ```
*/
default<TDefaultValue extends TType['input'] | (() => Promise<TType['input']>)>(defaultValueOrFunction: TDefaultValue): DatetimeSchema<{
input: TType["input"] | undefined | null;
validate: TType["validate"];
internal: TType["internal"];
output: TType["output"] | undefined | null;
representation: TType["representation"];
}, TDefinitions>;
/**
* This function let's you customize the schema your own way. After we translate the schema on the adapter we call
* this function to let you customize the custom schema your own way. Our API does not support passthrough?
* No problem, you can use this function to customize the zod schema.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* const numberSchema = p.number().extends((schema) => {
* return schema.nonnegative();
* });
*
* const { errors, parsed } = await numberSchema.parse(-1);
*
* // [{ isValid: false, code: 'nonnegative', message: 'The number should be nonnegative', path: [] }]
* console.log(errors);
* ```
*
* @param callback - The callback that will be called to customize the schema.
* @param toStringCallback - The callback that will be called to transform the schema to a string when you want to
* compile the underlying schema to a string so you can save it for future runs.
*
* @returns The schema.
*/
extends(callback: (schema: Awaited<ReturnType<NonNullable<TDefinitions['schemaAdapter']['datetime']>['translate']>>) => Awaited<ReturnType<NonNullable<TDefinitions['schemaAdapter']['field']>['translate']>> | any, toStringCallback?: (schemaAsString: string) => string): this;
/**
* This function is used to transform the value to the representation of the schema. When using the {@link data}
* function. With this function you have full control to add data cleaning for example, transforming the data and
* whatever. Another use case is when you want to return deeply nested recursive data.
* The schema maps to itself.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* const recursiveSchema = p.object({
* id: p.number().optional(),
* name: p.string(),
* }).toRepresentation(async (value) => {
* return {
* id: value.id,
* name: value.name,
* children: await Promise.all(value.children.map(async (child) => await recursiveSchema.data(child)))
* }
* });
*
* const data = await recursiveSchema.data({
* id: 1,
* name: 'John Doe',
* });
* ```
*
* @example
* ```
* import * as p from '@palmares/schemas';
*
* const colorToRGBSchema = p.string().toRepresentation(async (value) => {
* switch (value) {
* case 'red': return { r: 255, g: 0, b: 0 };
* case 'green': return { r: 0, g: 255, b: 0 };
* case 'blue': return { r: 0, g: 0, b: 255 };
* default: return { r: 0, g: 0, b: 0 };
* }
* });
* ```
* @param toRepresentationCallback - The callback that will be called to transform the value to the representation.
*
* @returns The schema with a new return type
*/
toRepresentation<TRepresentation>(toRepresentationCallback: (value: TType['representation']) => Promise<TRepresentation>): DatetimeSchema<{
input: TType["input"];
validate: TType["validate"];
internal: TType["internal"];
output: TType["output"];
representation: TRepresentation;
}, TDefinitions>;
/**
* This function is used to transform the value to the internal representation of the schema. This is useful when you
* want to transform the value to a type that the schema adapter can understand. For example, you might want to
* transform a string to a date. This is the function you use.
*
* @example
* ```typescript
* import * as p from '@palmares/schemas';
*
* const dateSchema = p.string().toInternal((value) => {
* return new Date(value);
* });
*
* const date = await dateSchema.parse('2021-01-01');
*
* console.log(date); // Date object
*
* const rgbToColorSchema = p.object({
* r: p.number().min(0).max(255),
* g: p.number().min(0).max(255),
* b: p.number().min(0).max(255),
* }).toInternal(async (value) => {
* if (value.r === 255 && value.g === 0 && value.b === 0) return 'red';
* if (value.r === 0 && value.g === 255 && value.b === 0) return 'green';
* if (value.r === 0 && value.g === 0 && value.b === 255) return 'blue';
* return `rgb(${value.r}, ${value.g}, ${value.b})`;
* });
* ```
*
* @param toInternalCallback - The callback that will be called to transform the value to the internal representation.
*
* @returns The schema with a new return type.
*/
toInternal<TInternal>(toInternalCallback: (value: TType['validate']) => Promise<TInternal>): DatetimeSchema<{
input: TType["input"];
validate: TType["validate"];
internal: TInternal;
output: TType["output"];
representation: TType["representation"];
}, TDefinitions>;
/**
* Called before the validation of the schema. Let's say that you want to validate a date that might receive a string,
* you can convert that string to a date here BEFORE the validation. This pretty much transforms the value to a type
* that the schema adapter can understand.
*
* @example
* ```
* import * as p from '@palmares/schemas';
* import * as z from 'zod';
*
* const customRecordToMapSchema = p.schema().appendSchema(z.map()).toValidate(async (value) => {
* return new Map(value); // Before validating we transform the value to a map.
* });
*
* const { errors, parsed } = await customRecordToMapSchema.parse({ key: 'value' });
* ```
*
* @param toValidateCallback - The callback that will be called to validate the value.
*
* @returns The schema with a new return type.
*/
toValidate<TValidate>(toValidateCallback: (value: TType['input'], context: TDefinitions['context']) => Promise<TValidate> | TValidate): DatetimeSchema<{
input: TType["input"];
validate: TValidate;
internal: TType["internal"];
output: TType["output"];
representation: TType["representation"];
}, TDefinitions>;
/**
* This will allow the value to be a string, it does not validate, it just parses inputs as strings and allows the
* result to be a string as well.
*
* @example
* ```typescript
* const schema = datetime().allowString();
*
* schema.parse('2021-01-01T00:00:00.000Z') // works
* ```
*
* @returns - The schema instance
*/
allowString(): DatetimeSchema<{
input: string | TType["input"];
output: string | TType["output"];
internal: string | TType["output"];
representation: string | TType["output"];
validate: string | TType["output"];
}, TDefinitions>;
/**
* This will validate if the value is above the specified date.
*
* @example
* ```ts
* const today = new Date();
* const yesterday = new Date(today);
* yesterday.setDate(today.getDate() - 1);
*
* datetime().above(today).parse(today) // throws error
* datetime().above(today, { inclusive: true }).parse(today) // works
* datetime().above(yesterday).parse(today) // works
* ```
*
* @param value - The value that we are comparing against.
* @param options - The options that we are passing to the validator.
* @param options.inclusive - If the value is inclusive or not. In other words, if the value can be equal to
* the specified date.
* @param options.message - The message that we are returning if the value is not above the specified date.
*
* @returns - The schema instance
*/
above(value: Date, options?: {
inclusive?: boolean;
message: string;
}): this;
/**
* This will validate if the value is below the specified date.
*
* @example
* ```ts
* const today = new Date();
* const yesterday = new Date(today);
* yesterday.setDate(today.getDate() - 1);
*
* datetime().below(today).parse(today) // throws error
* datetime().below(today, { inclusive: true }).parse(today) // works
* datetime().below(today).parse(yesterday) // works
* ```
*
* @param value - The value that we are comparing against.
* @param options - The options that we are passing to the validator.
* @param options.inclusive - If the value is inclusive or not. In other words, if the value can be equal to the
* specified date.
* @param options.message - The message that we are returning if the value is not above the specified date.
*
* @returns - The schema instance
*/
below(value: Date, options?: {
inclusive?: boolean;
message: string;
}): this;
static new<TDefinitions extends DefinitionsOfSchemaType = DefinitionsOfSchemaType<SchemaAdapter & Palmares.PSchemaAdapter>>(): DatetimeSchema<{
input: Date;
validate: Date;
internal: Date;
output: Date;
representation: Date;
}, TDefinitions>;
}
export declare const datetime: <TDefinitions extends DefinitionsOfSchemaType = DefinitionsOfSchemaType<SchemaAdapter & Palmares.PSchemaAdapter>>() => DatetimeSchema<{
input: Date;
validate: Date;
internal: Date;
output: Date;
representation: Date;
}, TDefinitions>;
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