Json-schema-faker is awesome and works really nice, but i need a simplified and fast way to generate mock data for my projects, so i created this. Run npm build to build the normal and minified version. Run npm install npm run dev to watch the project, webpack compile the code automatically. You can visit the repo url here: danibram/mocker-api-tester Mock Generator can generate the assert section for standard Python mocks, even if they were not created using the Mock Generator. Midburn / spark / seeds / gen / generator. This means that this methods loose habilities, when eval is not passed, but this are the speed results with eval active (old way) and without (new way) faker eval old: 0.969ms How to use mocker-data-generator - 4 common examples To help you get started, we’ve selected a few mocker-data-generator examples, based on popular ways it is used in public projects. eval (Optional): Also now you can pass, eval to true, to use like in versions = 2.6.0, eval option was introduced to run mocker-data-generator like olders versions, so by default is running without eval: faker, chance, casual, hasMany, hasOne, db and self.Self: get himself object, and evaluate the string, so you can get calculated fields. Commaseparated string key: indicates that there is a conditional, before the comma you must specify a conditional (you have all level fields generated in this moment), then you must specify the field if the conditional is true see the example.Schema definition Every schema should contains the specified fields. Returns generated data or throws an error. buildSync(): Synchronous version of build(callback).Restart(): Clean the internal DB and all the schemas inside.īuild(callback): This methods start to produce the data and wrap it to the callback function, the callback funtion have 2 parameters, error and data generated. There are 9 other projects in the npm registry using mocker-data-generator. Start using mocker-data-generator in your project by running npm i mocker-data-generator. Latest version: 3.0.1, last published: a month ago. 'object.type="CAR"||object.type="MOTORBIKE",speed': this means that this field ( ) is an array and you want to generate entities with this unique values A simplified way to generate mock data, builds using a simple schema and with the FakerJs. Import mocker from 'mocker-data-generator' // (ES6 or Typescript way) Import it var mocker = require('mocker-data-generator').default // (vanilla way) Install the module and the awesome generator you want: Design and enter your 'FIELD / COLUMN TITLE' and select related 'DATA TYPE'. You can test online here: Getting started To help you get started, we’ve selected a few mocker-data-generator examples, based on popular ways it is used in public projects. Now the library has been migrated 100% to typescript typing are included. A simplified way to generate massive mock data based on a schema, using the awesome fake/random data generators like (FakerJs, ChanceJs, CasualJs and RandExpJs), all in one tool to generate your fake data for testing.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |