dipasqualew/zod-mocking

Generate valid or invalid mocks for your tests, directly from your zod models

Hi there 👋

zod-mocking's Issues

How to?

Hi, I understand this is a POC. But I would like to know how to use this package. Cheers.

fix: Support number's positive, negative, nonpositive, nonnegative

At the moment the number mocker fails to take in account the number 0 for minimum and maximum and therefore casts them to MIN_INTEGER and MAX_INTEGER. The number 0 is used for the following modifiers:

• number().positive()
• number().negative()
• number().nonpositive()
• number().nonnegative()

Additionally, number()._def.minimum.inclusive and number()._def.maximum.inclusive should both be considered when generating the number.

feat: Support transforms

Zod fields can specify transforms functions that are used to cast or transform the validated value.

Mock generators should perform he same transformations.

feat: Overrides support

As a library user, when I generate mocks I'd like to specify mocks for some or all of the fields of my field / model. This is because:

1. I want more control over the generated mock, or
2. I want a deterministic value (i.e. a boolean field that is always false) or
3. My field is very hard to compute (i.e uses refinements).

Specifying an override skip the field generation entirely.

feat: Deterministic pseudorandom values

As a library user, I'd like to be able to specify a seed, or let zod-mocking to use a seed, so that I can produce consistent mock values.

In other words:

1. mockValid(myField, { seed: 1 }) === mockValid(myField, { seed: 1 });
2. mockValid(myField, { seed: 1 }) !== mockValid(myField, { seed: 2 });
3. mockValid(myField, { seed: true }) === mockValid(myField, { seed: 1 });

feat: Export to JSON

As a library user, I may need the mocks I have generated in multiple repositories, and these repositories may need to consume the mocks in other programming languages (i.e. Python, Rust, etc).

It would be helpful to be able to generate the mocks and then export them as JSON objects, so that they can be universally consumed.