Source | valibot | Schema Benchmarks

schemas/libraries/valibot/download/index.tsCopy to clipboardCopy to clipboard

schemas/libraries/valibot/download/index.tsCopy to clipboardCopy to clipboard

schemas/libraries/valibot/download/index.tsCopy to clipboardCopy to clipboard

import * as v from "valibot";

import type { ProductData } from "#src";

const imageSchema = v.object({
  id: v.number(),
  created: v.date(),
  title: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(100),
  ),
  type: v.picklist(["jpg", "png"]),
  size: v.number(),
  url: v.pipe(v.string(), v.url()),
});

const ratingSchema = v.object({
  id: v.number(),
  stars: v.pipe(
    v.number(),
    v.minValue(1),
    v.maxValue(5),
  ),
  title: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(100),
  ),
  text: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(1000),
  ),
  images: v.array(imageSchema),
});

const productSchema = v.object({
  id: v.number(),
  created: v.date(),
  title: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(100),
  ),
  brand: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(30),
  ),
  description: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(500),
  ),
  price: v.pipe(
    v.number(),
    v.minValue(1),
    v.maxValue(10000),
  ),
  discount: v.nullable(
    v.pipe(
      v.number(),
      v.minValue(1),
      v.maxValue(100),
    ),
  ),
  quantity: v.pipe(
    v.number(),
    v.minValue(0),
    v.maxValue(10),
  ),
  tags: v.array(
    v.pipe(
      v.string(),
      v.minLength(1),
      v.maxLength(30),
    ),
  ),
  images: v.array(imageSchema),
  ratings: v.array(ratingSchema),
}) satisfies v.GenericSchema<ProductData>;

v.parse(productSchema, {});

import * as v from "valibot";

import type { ProductData } from "#src";

const imageSchema = v.object({
  id: v.number(),
  created: v.date(),
  title: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(100),
  ),
  type: v.picklist(["jpg", "png"]),
  size: v.number(),
  url: v.pipe(v.string(), v.url()),
});

const ratingSchema = v.object({
  id: v.number(),
  stars: v.pipe(v.number(), v.minValue(1), v.maxValue(5)),
  title: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(100),
  ),
  text: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(1000),
  ),
  images: v.array(imageSchema),
});

const productSchema = v.object({
  id: v.number(),
  created: v.date(),
  title: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(100),
  ),
  brand: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(30),
  ),
  description: v.pipe(
    v.string(),
    v.minLength(1),
    v.maxLength(500),
  ),
  price: v.pipe(
    v.number(),
    v.minValue(1),
    v.maxValue(10000),
  ),
  discount: v.nullable(
    v.pipe(v.number(), v.minValue(1), v.maxValue(100)),
  ),
  quantity: v.pipe(
    v.number(),
    v.minValue(0),
    v.maxValue(10),
  ),
  tags: v.array(
    v.pipe(v.string(), v.minLength(1), v.maxLength(30)),
  ),
  images: v.array(imageSchema),
  ratings: v.array(ratingSchema),
}) satisfies v.GenericSchema<ProductData>;

v.parse(productSchema, {});

import * as v from "valibot";

import type { ProductData } from "#src";

const imageSchema = v.object({
  id: v.number(),
  created: v.date(),
  title: v.pipe(v.string(), v.minLength(1), v.maxLength(100)),
  type: v.picklist(["jpg", "png"]),
  size: v.number(),
  url: v.pipe(v.string(), v.url()),
});

const ratingSchema = v.object({
  id: v.number(),
  stars: v.pipe(v.number(), v.minValue(1), v.maxValue(5)),
  title: v.pipe(v.string(), v.minLength(1), v.maxLength(100)),
  text: v.pipe(v.string(), v.minLength(1), v.maxLength(1000)),
  images: v.array(imageSchema),
});

const productSchema = v.object({
  id: v.number(),
  created: v.date(),
  title: v.pipe(v.string(), v.minLength(1), v.maxLength(100)),
  brand: v.pipe(v.string(), v.minLength(1), v.maxLength(30)),
  description: v.pipe(v.string(), v.minLength(1), v.maxLength(500)),
  price: v.pipe(v.number(), v.minValue(1), v.maxValue(10000)),
  discount: v.nullable(v.pipe(v.number(), v.minValue(1), v.maxValue(100))),
  quantity: v.pipe(v.number(), v.minValue(0), v.maxValue(10)),
  tags: v.array(v.pipe(v.string(), v.minLength(1), v.maxLength(30))),
  images: v.array(imageSchema),
  ratings: v.array(ratingSchema),
}) satisfies v.GenericSchema<ProductData>;

v.parse(productSchema, {});

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