1.0.3 • Published 6 years ago
@aspirity/generate-data-swagger v1.0.3
generate-data-swagger - Data generator based on swagger scheme
install
yarn add generate-data-swagger
or
npm install generate-data-swagger
Why should I use it
Allows you to generate various objects, preserving the structure of the swagger scheme.
Using
You can use two options for setting data generation parameters. 1. Parameters for each field
created_at: {
type: 'string',
format: 'date-time',
example: {
min: '2017-07-21T17:32:28Z',
max: '2017-07-23T17:32:28Z'
},
}
- Setting parameters for an object
"type": "object", "example": { "created_at": { "min": "2017-07-21T17:32:28Z", "max": "2017-07-23T17:32:28Z" }, "mac": "internet.mac" }
import generateData from 'generate-data-swagger';
const data = await generateData(schema, model, isParser, defaultValue);
- schema - path or object scheme swagger
- model - the name of the swagger model by which you need to generate data
- isParser - bool value meaning whether to convert the schema to an object or not
const defaultValue = [
{
name: 'org', /* name field model in scheme */
value: organization.map((org) => org.id), /* string or array string */
random: true, /* if value array whether to choose random values from value */
}
]
Parameters of data generation
Generate number
count: {
type: 'number',
format: 'double',
minimum: 5,
maximum: 10,
}
Generation will occur in the range of 5 to 10.
Generate date
created_at: {
type: 'string',
format: 'date-time',
example: {
min: '2017-07-21T17:32:28Z',
max: '2017-07-23T17:32:28Z'
},
}
Date is generated in the range of 2017-07-21T17:32:28Z to 2017-07-23T17:32:28Z.
Generate diverse data
mac: { type: 'string', example: { mac: 'internet.mac' } },
In field example field name is specified and path before generating the value, path taken from Faker.
Generate object
If only type is specified as a type object, without indication properties, object generate of random key and value.