Multi Field Model

This example demonstrates a model with multiple fields of different types, showcasing datagen’s support for various data types.

Model

Create a file named user_profile.dg:

model user_profile {
  fields {
    id() int
    name() string
    is_active() bool
    rating() float64
    created_at() time.Time
  }

  gens {
    func id() {
      return iter + 1
    }

    func name() {
      return Name()
    }

    func is_active() {
      return Boolean()
    }

    func rating() {
      return FloatBetween(1, 5)
    }

   func created_at() {
      return time.Now()
   }
  }
}

How to Run

$ datagenc gen . -f csv -n 3

Output

$ cat user_profile.csv

id,name,is_active,rating,created_at
1,Estrella Donnelly,true,4.4,2025-10-29 13:05:08.297628 +0530 IST m=+0.026148126
2,Stone Mosciski,false,3.62,2025-10-29 13:05:08.29763 +0530 IST m=+0.026150210
3,Bessie Gutkowski,false,1.05,2025-10-29 13:05:08.297631 +0530 IST m=+0.026151668