TypeScript helps a lot when dealing with type errors at compile time. However, form inputs or third-party API responses can cause runtime errors if the types don’t match.
This post will explain why runtime errors happen when working with external data sources using TypeScript and what we can do as developers to avoid these problems.
The problem
Let’s suppose we fetch employee data from an API. The response’s body would look something like this:
id: “1234567890abcdef”,
name: “John Doe”,
birthDate: “2011-10-05T14:48:00.000Z”,
active: true
}
And this would be the code that fetches the data:
id: string;
name: string;
birthDate: Date;
active: boolean;
}
const fetchEmployee = async (req: Request): Employee => {
…
await return response.json();
}
const employee = await fetchEmployee(…);
This code would work as it is. It just fetches data from an API and stores it in a variable. However, there is a catch: the Employee type does not match the response. The employee birthDate is not a Date. It is a string.
TypeScript is not aware of these errors until runtime. Typescript will trust the Employee type and suggest methods and properties as if birthDate was a Date. It would be a matter of time before, at any point inside the code, someone could try to do employee.birthDate.getFullYear() and boom: TypeError: getFullYear is not a function.
How to solve this
Assertions
Assertions in Typescript are a great way to ensure data typing. Taking the previous example, we could assert the employee data like this:
if(typeof data.birthDate !== Date) {
throw new AssertionError(“Data is not an Employee!“);
}
}
The usage would be similar to this:
…
const data = await response.json();
assertIsEmployee(data);
return data;
}
const employee = await fetchEmployee(…);
Assertion errors would happen at runtime right after fetching the employee data. E2e tests could detect these before pushing code to production. However, the developer experience is terrible. You might need tests and too much boilerplate to check every possible scenario.
Introducing Zod
Zod is a TypeScript-first schema declaration and validation library. It helps create schemas for any data type and is very developer-friendly. Zod has the functional approach of “parse, don’t validate.” It supports coercion in all primitive types.
In this case, we could use Zod to create an Employee schema to parse the data from the API. We could use the coerce option on attributes like birthDate and active to coerce them using the primitive types’ constructors.
const EmployeeSchema = z.object({
id: z.string(),
name: z.string(),
birthDate: z.coerce.date(), // Date(input)
active: z.coerce.boolean(), // Boolean(input)
});
// We can also create a type based on the schema
type Employee = z.infer<typeof EmployeeSchema>;
Now, we could use it easily like this:
…
const data = await response.json();
return EmployeeSchema.parse(data);
}
const employee = await fetchEmployee(…);
The parse method still throws errors at runtime when validation fails. But compared to assertion, Zod is way easier to handle as a developer.
Conclusion
We are not safe from runtime errors when using TypeScript. Luckily, there are libraries like Zod that provide solutions to minimize them.
Has this problem ever happened to you? Did you use a similar library to handle it? What has been your experience using Zod? Please let me know and type safely.
