rpa-data-generator-retail
v1.1.1
Published
Generates a large JSON object full of fake data for simulating the backend of a poster shop.
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Fake Data Generator for Retail
Generates a large JSON object full of fake data for simulating the backend of a poster shop.
Used to simulate a REST / GraphQL backend in react-admin. To get a glimpse of the test data, browse the react-admin demo.
Usage
import generateData from 'data-generator-retail';
const data = generateData();
// now do whatever you want with the data...
console.log(data);
{
customers: [ /* ...900 customers */],
categories: [ /* ...12 categories */],
products: [ /* ...120 products */],
commands: [ /* ...600 orders */],
invoices: [ /* ...about 500 invoices */],
reviews: [ /* ... */],
}
Data schema
- customers
- id: integer
- first_name: string
- last_name: string
- email: string
- address: string
- zipcode: string
- city: string
- avatar: string
- birthday: date
- first_seen: date
- last_seen: date
- has_ordered: boolean
- latest_purchase
- has_newsletter: boolean
- groups: array
- nb_commands: integer
- total_spent: integer
- categories
- id: number
- name: string
- products
- id: integer
- category_id: integer
- reference: string
- width: float
- height: float
- price: float
- thumbnail: string
- image: string
- description: string
- stock: integer
- commands
- id: integer
- reference: string
- date: date
- customer_id: integer
- basket: [{ product_id: integer, quantity: integer }]
- total_ex_taxes: float
- delivery_fees: float
- tax_rate: float
- taxes: float
- total: float
- status: 'ordered' | 'delivered' | 'canceled'
- returned: boolean
- invoices
- id: integer
- date: date
- command_id: integer
- customer_id: integer
- total_ex_taxes: float
- delivery_fees: float
- tax_rate: float
- taxes: float
- total: float
- reviews
- id: integer
- date: date
- status: 'pending' | 'accepted' | 'rejected'
- command_id: integer
- product_id: integer
- customer_id: integer
- rating: integer
- comment: string
Licence
Data Generator for Retail is licensed under the MIT License, sponsored and supported by marmelab.