Generates random test data with a variety of built-in generators.
Supports calculated properties, flexible string generation, and allows for custom property generation.
Provides the ability to decorate the generated output with custom logic.
Generates data randomly. Give it a ⭐ if you find it useful.
Key features:
Calculated properties.
.Property(c => c.Count).IsCalc() // Custom calc generator will define the logic rules
Assigned properties.
.Property(s => s.FullName).Assign(s => $"{s.FirstName} {s.LastName}") // FirstName and LastName are random here
Random failures.
.Property(s => s.Signature).Length(4, 16)
.Failure(
nullable: 0.1, // 10% for null value
custom: 0.1, // 10% for bad value
range: 0.05); // 5% for out of range. Here that means lenght < 4 or > 16
Predefined list of firstnames, lastnames, companies, addresses, cities, countries.
Originally this library was created in order to prepare json mocked data for testing api, which was under development. Api was supposed to aggregate data from a bunch of backend systems, while the client had to import several hundred thousand objects to a new frontend cms. It was extremely important to make sure that all data format surprises, which we were getting, could have been handled properly. That's why were added to . As well as random sized arrays. At the same time, it was impossible to import an object if all properties contained completely random data. This is where hepled.
random failures
DG
calculated properties
After that I didn't work with DG for almost two years. During this time a couple of nice tools, helping out with fake data, appeared. Some time ago, I was working on the other issue, where data couldn't be too random again. I realized, that DG may get its second chance and got back to updating it with new features, primarily focusing on building a more convenient setup, based on the fluent syntax.
DG, at this moment, is quite far from being optimal in terms of performance as well as in code experience, test coverage or documentation. But if you see that there could be nice features added, feel free to create a github issue or discussion.
