graphql-fake-data-generator
所属分类：数值算法/人工智能
开发工具：TypeScript
文件大小：0KB
下载次数：0
上传日期：2023-11-12 20:46:54
上 传 者：
sh-1993
说明： graphql伪数据发生器
(graphql fake data generator)
文件列表:
.babelrc (457, 2023-11-12)
.changeset/ (0, 2023-11-12)
.changeset/config.json (273, 2023-11-12)
.eslintrc.js (404, 2023-11-12)
.npmignore (51, 2023-11-12)
.nvmrc (8, 2023-11-12)
.prettierrc.js (116, 2023-11-12)
CHANGELOG.md (1818, 2023-11-12)
CODE_OF_CONDUCT.md (1646, 2023-11-12)
CONTRIBUTING.md (3986, 2023-11-12)
LICENSE.md (1124, 2023-11-12)
PULL_REQUEST_TEMPLATE.md (1437, 2023-11-12)
example/ (0, 2023-11-12)
example/schema.graphql (421, 2023-11-12)
package.json (1908, 2023-11-12)
pnpm-lock.yaml (199306, 2023-11-12)
src/ (0, 2023-11-12)
src/analyze-schema.ts (1837, 2023-11-12)
src/generate-mock-data.ts (3226, 2023-11-12)
src/index.test.ts (5211, 2023-11-12)
src/index.ts (165, 2023-11-12)
src/parse-graphql-schema.ts (772, 2023-11-12)
src/types.ts (489, 2023-11-12)
src/utils/ (0, 2023-11-12)
src/utils/check-file-path.ts (381, 2023-11-12)
src/utils/randomize.ts (201, 2023-11-12)
tsconfig.json (5050, 2023-11-12)
# GraphQL Fake Data Generator
## Description
GraphQL Fake Data Generator is a powerful and flexible tool designed to generate mock data for GraphQL schemas. It provides an easy and efficient way to create realistic and customizable mock data based on your GraphQL schema, which is ideal for testing, development, and demonstration purposes.
## Installation
```bash
npm install graphql-fake-data-generator --save-dev
```
```bash
yarn add -D graphql-fake-data-generator
```
```bash
pnpm add -D graphql-fake-data-generator
```
## Basic Usage
### Create Schema from String
To create a GraphQL schema from a string:
```js
const schemaString = `
type Query {
users: [User]
}
type User {
id: ID
name: String
}
`
```
### Parse Schema
Parse the schema to convert it into a usable format:
```js
import { parseGraphQLSchema } from 'graphql-fake-data-generator'
const parsedSchema = parseGraphQLSchema(schema)
```
### Analyze Schema
Analyze the parsed schema to understand its structure:
```js
import { analyzeSchema } from 'graphql-fake-data-generator'
const analyzedSchema = analyzeSchema(parsedSchema)
```
### Generate Mock Data
Generate mock data based on the analyzed schema:
```js
import { generateMockData } from 'graphql-fake-data-generator'
const mockData = generateMockData(analyzedSchema)
```
### Example:
```js
import { parseGraphQLSchema, analyzeSchema, generateMockData } from 'graphql-fake-data-generator'
const schemaString = `
type Query {
users: [User]
}
type User {
id: ID
name: String
}
`
const parsedSchema = parseGraphQLSchema(schema)
const analyzedSchema = analyzeSchema(parsedSchema)
const mockData = generateMockData(analyzedSchema)
```
### Result:
```js
{
users: [
{
id": "14c56ec5-1f79-4d9e-aab9-759ba6dcc950",
name": "terra",
email": "conscendo"
}
]
}
```
## Load Schema from File
To load a GraphQL schema from a file:
```js
import { readFileSync } from 'fs'
import { parseGraphQLSchema, analyzeSchema, generateMockData } from 'graphql-fake-data-generator'
// Method 1: Read existing GraphQL schema file and convert it into string.
const schemaString = readFileSync('path/to/your/schema.graphql', 'utf-8')
const parsedSchema = parseGraphQLSchema(schemaString)
// Method 2: Pass the GraphQL schema file path directly to the parseGraphQLSchema function.
const parsedSchema = parseGraphQLSchema('./schema.graphql')
const analyzedSchema = analyzeSchema(parsedSchema)
const mockData = generateMockData(analyzedSchema)
```
## Generate Mock Data with Options
### Customizing List Length
Specify the length of lists in the generated mock data:
```js
const mockDataWithListLength = generateMockData(analyzedSchema, {
listLength: 10, // Specifies the number of items in list fields
})
```
NB: Please be aware that if your schema does not return an array, the 'listLength' parameter will be unavailable. Including it in the options will result in an error.
### Customizing Data
Provide custom data generators for specific fields:
If the default data generated appears unrealistic, you have the option to customize the output for specific fields
```js
import { faker } from 'faker-js/faker'
const mockDataWithCustomData = generateMockData(analyzedSchema, {
query: {
name: () => faker.person.fullName(),
email: () => faker.internet.email(),
},
})
```
In the example above, the `name` and `email` fields of the `users` query will use the provided custom generator functions. This allows for specific customization of the mock data returned for these fields.
### Output
```js
{
users: [
{
id=: "14c56ec5-1f79-4d9e-aab9-759ba6dcc950",
name: "Claude Hyatt",
email: "Janessa23@hotmail.com"
}
]
}
```
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