Have you ever needed to synchronize types in your frontend app with the backend API?
If you ever had an API action defined like that in your controller:
and fetched this data using TypeScript in the following way:
at some point, you probably also experienced the desynchronization of backend (C#, in our example) and frontend (TypeScript) types definitions. What if someone has changed the C# version of UserViewModel
, but no one corrected its TypeScript’s equivalent?
Your TypeScript fetching code will tell nothing about that. There will be no error, even though the fetched data doesn’t match the expected UserViewModel
type.
I’ll try to address this issue in this article 🙂 Let’s see how typing API responses with zod
can help us here.
Synchronization of Backend and Frontend API Typings
First, why would we want to keep the backend and frontend models in sync?
For me, that’s the purpose of using TypeScript. We want our code to be as well-typed as possible. For instance, we normally want the data displayed to the user to be fully typed. TypeScript enhances our programming experience by providing us with typing information. Thanks to that, we know what is what and what contains what. We also express what types of data we expect in particular cases.
The APIs mostly return JSON data, which can be anything. Because of that, it is much easier to have the data returned from the API fully typed in TypeScript. Thanks to that, we know what properties are available on the data models received from the API and whether we can use and display them to the users.
The sample code used within this article is available on GitHub. We will use ASP.NET Core (C#) and React (TypeScript) apps as examples.
Models synchronization example
As we saw in the beginning, a classic example is an API controller that returns a strongly-typed data:
The returned data type is a collection of UserViewModel
objects. Here’s the C# definition of this type:
Its equivalent is also defined on TypeScript side:
Usage in TypeScript
Cool. With this simple code, we can create a usersService.ts
file and fetch our users’ data from the API. Notice how we make this call strongly typed:
Everything looks legit. We can use the data retrieved from the API in UsersList
component and everything is nicely typed:
The data is even perfectly displayed:
So, what can go wrong here? 🤔
The Problem – Typings’ Desynchronization
Let’s say that a backend developer implements a requirement to rename “loyalty points” into “fidelity points”. Easy. (S)he renames LoyaltyPoints
property in the C#’s UserViewModel
to FidelityPoints
.
The new C# model looks as follows:
Nice! The backend dev is a very good programmer, so (s)he even launches the React web application to make sure that everything still works correctly and there are no errors in the dev console:
After a quick look, everything looks awesome. The users list is displayed, there are no errors in the console. Apparently, these test users don’t have any loyalty points assigned – that’s why the empty values in “Loyalty points” column. What’s more, translators will update the column’s translation later. We are good! Let’s go on prod! 😎
I guess you already know what went wrong here. API definition changed, but TypeScript didn’t inform us about that 😔 Our UserViewModel
still uses the old property name:
However, it still works. When rendering the UsersList
, we simply get undefined
in place of loyaltyPoints
:
In the end, this is all JavaScript there. What’s interesting, the renamed fidelityPoints
property is already there at runtime:
but no one cared about it 😔
With the current solution, we will never be informed soon enough about API models changes in our React application. In the best case, we’ll get an undefiend
or null
error when clicking through the app. However, it’s usually an end user who finds such problems on production. This is definitely not what we want 😶
We can solve this problem by typing API responses with zod. Let’s now see how to do that.
The Solution – zod
Our remedy – zod
– is quite a decent npm package with with ~600k weekly downloads. Its GitHub page advertises the library as TypeScript-first schema validation with static type inference.
You can definitely do many things with zod
. It can be used together with libraries like react-hook-form to perform complex forms validation. However, in our case, we’ll treat zod
as a solution for better typings in TypeScript.
Adding zod to React app
First, let’s install zod
into our React application:
npm i zod
First schema definition with zod
With zod
, we define our types in a slightly different way. Instead of creating a type
or interface
directly, we first create a schema. In our case, we can define a UserViewModelSchema
using z.object
creator function:
Few interesting parts here:
- Line 2: notice how
zod
helps us to define types likeGuid
with built-in schemas likeuuid()
- Line 8: first, I used
AddressViewModelSchema
here. This is a custom schema of anAddressViewModel
object, which is another type used internally inUserViewModel
. You can use such custom schemas in other schemas. Also notice thenullable()
call here, which makes theaddress
property nullable
First step done – we have our UserViewModelSchema
. But can we use it instead of UserViewModel
type? Not really. Schema is used for validation purposes only. We still need the UserViewModel
TypeScript’s type.
Inferring type from zod’s schema
Fortunately, zod
comes with a handy z.infer
function that allows us to infer the type from the schema.
Finally, the userViewModel.ts
file looks as follows:
We can use the exported UserViewModel
type as previously used type. It’s an equivalent, inferred from UserViewModelSchema
.
Validating API responses with zod schema
One last step is to make use of UserViewModelSchema
. Let’s modify the getAllUsers
function from usersService
to validate the data received from the API against our schema:
Notice the usage of z.array
. This function call tells zod
to validate an array of objects meeting the rules defined by UserViewModelSchema
, not a single object.
Now, let’s run our React app and see what happens when we click the “Fetch users” button:
This is awesome! Exactly what we wanted – a schema validation error for API response. Notice how the error message precisely points to the missing (or wrong, in other cases) property. It tells us we expected a number
called loyaltyPoints
, but instead we received undefined
. The reason for this error message is that the loyaltyPoints
field is Required
in our schema.
After renaming loyaltyPoints
to fidelityPoints
in UserViewModelSchema
and updating the UsersList
component accordingly, everything works fine again.
We are now fully typed and prepared for the future, in case an issue with desynchronization of frontend and backend typings happens again 🚀
Summary
Today, we’ve seen how typing API responses with zod
can help us detect frontend and backend models desynchronization. Schema validation throws errors when the data doesn’t match its expected shape.
Remember that zod
is an extended library with many options. I recommend exploring them on your own. An interesting feature we didn’t cover in this article is strict mode, which doesn’t allow additional fields not present in the schema definition when validating the data object.
The open question remains whether to use schema validation on production. One could think that it’s better to not throw any validation errors, because JavaScript may just work. However, I think that throwing an error is always better than silently letting things through. An error lets programmers, automated tests or manual testers to detect the issue before the end user does 😉
You can explore the complete code presented in this article here.
thanks for the information
you’re welcome!