#FAKE USER DATA GENERATOR HOW TO#
#FAKE USER DATA GENERATOR INSTALL#
#FAKE USER DATA GENERATOR CODE#

When you do this, you can guarantee to get the same customers. Var customers = new CustomerFaker().Generate(1000) To do this, you just need to set a seed value to the same number: public class CustomerFaker : Faker When you want a consistent set of fake data, you can use a seeder to ensure that you get the same data every time. new Faker), you would get different customers. So that everytime you create an instance of the Faker object (e.g. Repeatable Fake Dataīy default, the generation of customers is random. This will create a thousand fake customers. To use the Faker, we can just call Generate() with how many you want: var customers = customerFaker.Generate(1000) Here we can see that we just have an integer (which will become a closure to the rule) and we just increment it everytime a new customer is created. One strategy is to just create a local integer and assign it with simple code: var id = 1 For example, we’ll want to generate IDs for the generated customers.

#FAKE USER DATA GENERATOR CODE#

Sometimes we’ll need to use custom code to generate data we need. The Bogus library has a large set of these built-in semantics. You can see here that we’re using the Name category and the Phone category. RuleFor(c => c.Phone, f => f.Phone.PhoneNumberFormat()) RuleFor(c => c.ContactName, f => f.Name.FullName()) If we continue this, we can fake more simple properties like so: var customerFaker = new Faker() In this case we are using the Company category to generate a company name. While we could write any code we need here, the most-common case is to use the Faker object passed to use the built-in semantics.

#FAKE USER DATA GENERATOR HOW TO#

The second parameter is another lambda to pass in how to generate the property. The first parameter of the RuleFor method is a lambda to pick the property on Customer that I want to fake. RuleFor(c => c.CompanyName, f => f.Company.CompanyName()) We can then use the RuleFor method to specify a rule for the Company Name: var customerFaker = new Faker() Let’s start by creating a faker for the Customer object and the simple properties: var customerFaker = new Faker() You can notice that aside from simple properties, we have a one-to-one relationship to an Address and a one-to-many relationship with Orders. But let’s start with our POCO for a Customer: public class Customer From that class you would use a fluent syntax to set up rules on creating sample data. You start out by creating an instance of a class called Faker.

#FAKE USER DATA GENERATOR INSTALL#

To install Bogus, you can use the Package Manager or just the dotnet CLI: > dotnet add package Bogus Addresses, Companies, People, Phone Numbers, etc.). Built-into Bogus is a set of generalized rules for common data categories (i.e. It accompished this by creating generators (called Fakers) that have a set of rules for generating one or more fake objects. It is somewhat a port of a similar library Bogus.js. Bogus is a library that works with C#, F# and VB.NET that can be used to create repeatable, fake data for applications.

Fake user data generator