Is there any option to generate a json payload for all the fields defined in pydantic schema?

[veereshamagi]

Hello,

We have a requirement that we need to populate data for all the fields in the JSON payload, we are using Pydantic to create a JSON schema and using it to generate JSON payload with random values. The issue we are facing is that empty values are being populated for some of the fields of the data type List. Is there any option available to generate values consistently? Also, if some fields are marked as optional in the Pydantic model, those keys are randomly dropped. Is there a way to consistently include or exclude those keys? We referred documentation and couldn't find any such options available. Kindly help us with these queries

from uuid import UUID

from pydantic import BaseModel

from enum import Enum

from jsf import JSF

from typing import List

class MyEnum(Enum):
    enum1 = "enum1"
    enum2 = "enum2"

class ChildModel(BaseModel):
    name: str
    age: int

class MyModel(BaseModel):
    guid: UUID
    msg: str
    my_enum: MyEnum
    detail: List[ChildModel]

faker = JSF(MyModel.model_json_schema())
print(faker.generate(n=1))

output:
{'guid': 'de2ad9c9-670c-45a4-887e-74c18fdd5717', 'msg': 'illum', 'my_enum': 'enum1', 'detail': []}

In this instance detail is returning an empty list, if I re-run the code detail will contain some random value.

[ghandic]

Hey, the only way to do this would be to inherit from JSF and override the __is_field_billable or raise a PR to add an option to the initialization to set a dropout rate of 0-1