Unable to access nested objects using `pick`

It seems as though we should be able to access nested objects using object().pick.

example:

const schema = yup.object({
  name: yup.string().required(),
  address: yup.object({
    line1: yup.string.required(),
    ...
  })
})
schema.pick(['name']) // returns schema with only `name`
schema.pick(['address.line1') // returns no schema =(
})

Is this something that should be supported? I have a use case where i’d like to define a full schema, then need to validate 1 field at a time (multi step form). then – validate the full object at the end via the full schema.

I have attempted some stuff “building” a schema on the fly based on lodash.pick but first party access would be a life saver.

Thanks for your great work!

[rkingon]

thanks @jakobsandberg - i am well aware of yup.reach but in this case I need to actually grab multiple keys at a time.

What I ended up doing was building a recursive function that converts POJO to yup.object

function toYupSchema (pojo = {}) {
	return yup.object(Object.entries(pojo).reduce((acc, [ key, value ]) => {
		if(typeof value === 'object' && !('__isYupSchema__' in value)) {
			acc[key] = toYupSchema(value)
		} else {
			acc[key] = value
		}
		return acc
	}, {}))
}

Then I can have a greater schema, something like

const userSchema = {
  firstName: yup.string(),
  lastName: yup.string(),
  address: {
    line1: yup.string(),
    ...
  }
}

then a combination of the wrapper function and lodash.pick

toYupSchema(_.pick(userScema, ['firstName, 'lastName'])) toYupSchema(_.pick(userScema, ['address.line1, 'address.line2'])) toYupSchema(_.pick(userScema, ['address.city, 'address.state', 'address.postalCode]))

The intent here is because we’re building a multi step form (wizard) that may ask 1 to many sub set of schema

[rkingon]

@jquense i see this marked as completed, awesome! how can we use this new feature? super appreciate your work on this package