![]() Now the exposed REST API gives you access to all 50 employee data sets created with Faker.js. This is done by using the following line of code: module.exports = generateEmployees Having added that export, we're able to pass file employee.js directly to the json-server command: JSON server requires that we finally export the generateEmploees() function which is responsible for fake data generation. To obtain the fake data for first name, last name and email we’re using the following methods from the Faker.js library: ![]() We’re implementing the function generateEmployees() to generate a JSON object containing 50 employees. you can even put it in a batch file to run it by passing an argument. where dirty.json is minified or unreadable json and pretty.json is pretty one. Take a look at the following sample db.json file: module.exports = generateEmployees Super quick way to do it if you have python installed is by typing following in the command prompt or powershell: type dirty.json python -m json.tool > pretty.json. The APIs can be used to identify what health criteria are applicable or active on a particular VM. There are two Microsoft Developer blogs that go into this in detail: Understanding health criteria in Azure Monitor for VMs. For objects contained in the JSON structure CRUD entpoints are created automatically. 1 day ago &0183 &32 You can use the Azure Resource Health API or the Azure Monitor API to look at the health of a VM or other Azure resources. This file contains the data which should be exposed by the REST API. Now let’s create a new JSON file with name db.json. The installation can be done by using the Node.js package manager:īy adding the -g option we make sure that the package is installed globally on your system. JSON Server is available as a NPM package. Furthermore you’ll see how to use another library, Faker.js, to generate fake data for the REST API which is exposed by using JSON server. In the following you’ll lean how to setup JSON server and publish a sample REST API. A Content-Type: application/json request. You can then construct a JSON object using the key-value fields. ![]() JSON Server is a simple project that helps you to setup a REST API with CRUD operations very fast. JSON JSON in the Body section of the query editor. However this takes some time and a much simpler approach can help to speed up front-end development time. Of course you can setup a full backend server, e.g. Ī common task for front-end developers is to simulate a backend REST service to deliver some data in JSON format to the front-end application and make sure everything is working as expected.
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