Modularizing React Applications with Established UI Patterns

Apart from the user interface

React itself doesn’t care much about where to put calculation or
business logic, which is fair as it’s only a library for building user
interfaces. And beyond that view layer, a frontend application has other
parts as well. To make the application work, you will need a router,
local storage, cache at different levels, network requests, 3rd-party
integrations, 3rd-party login, security, logging, performance tuning,
etc.

With all this extra context, trying to squeeze everything into
React components or hooks is generally not a good idea. The reason is
mixing concepts in one place generally leads to more confusion. At
first, the component sets up some network request for order status, and
then there is some logic to trim off leading space from a string and
then navigate somewhere else. The reader must constantly reset their
logic flow and jump back and forth from different levels of details.

Packing all the code into components may work in small applications
like a Todo or one-form application. Still, the efforts to understand
such application will be significant once it reaches a certain level.
Not to mention adding new features or fixing existing defects.

If we could separate different concerns into files or folders with
structures, the mental load required to understand the application would
be significantly reduced. And you only have to focus on one thing at a
time. Luckily, there are already some well-proven patterns back to the
pre-web time. These design principles and patterns are explored and
discussed well to solve the common user interface problems – but in the
desktop GUI application context.

Martin Fowler has a great summary of the concept of view-model-data
layering.

On the whole I’ve found this to be an effective form of
modularization for many applications and one that I regularly use and
encourage. It’s biggest advantage is that it allows me to increase my
focus by allowing me to think about the three topics (i.e., view,
model, data) relatively independently.

— Martin Fowler

Layered architectures have been used to cope the challenges in large
GUI applications, and certainly we can use these established patterns of
front-end organization in our “React applications”.

Single Component Application

It can be called pretty much a Single Component Application:

Figure 1: Single Component Application

But soon, you realise one single component requires a lot of time
just to read what is going on. For example, there is logic to iterate
through a list and generate each item. Also, there is some logic for
using 3rd-party components with only a few configuration code, apart
from other logic.

Multiple Component Application

You decided to split the component into several components, with
these structures reflecting what’s happening on the result HTML is a
good idea, and it helps you to focus on one component at a time.

Figure 2: Multiple Component Application

And as your application grows, apart from the view, there are things
like sending network requests, converting data into different shapes for
the view to consume, and collecting data to send back to the server. And
having this code inside components doesn’t feel right as they’re not
really about user interfaces. Also, some components have too many
internal states.

State management with hooks

It’s a better idea to split this logic into a separate places.
Luckily in React, you can define your own hooks. This is a great way to
share these state and the logic of whenever states change.

Figure 3: State management with hooks

That’s awesome! You have a bunch of elements extracted from your
single component application, and you have a few pure presentational
components and some reusable hooks that make other components stateful.
The only problem is that in hooks, apart from the side effect and state
management, some logic doesn’t seem to belong to the state management
but pure calculations.

Business models emerged

So you’ve started to become aware that extracting this logic into yet
another place can bring you many benefits. For example, with that split,
the logic can be cohesive and independent of any views. Then you extract
a few domain objects.

These simple objects can handle data mapping (from one format to
another), check nulls and use fallback values as required. Also, as the
amount of these domain objects grows, you find you need some inheritance
or polymorphism to make things even cleaner. Thus you applied many
design patterns you found helpful from other places into the front-end
application here.

Figure 4: Business models

Layered frontend application

The application keeps evolving, and then you find some patterns
emerge. There are a bunch of objects that do not belong to any user
interface, and they also don’t care about whether the underlying data is
from remote service, local storage or cache. And then, you want to split
them into different layers. Here is a detailed explanation about the layer
splitting Presentation Domain Data Layering.

Figure 5: Layered frontend application

The above evolution process is a high-level overview, and you should
have a taste of how you should structure your code or at least what the
direction should be. However, there will be many details you need to
consider before applying the theory in your application.

In the following sections, I’ll walk you through a feature I
extracted from a real project to demonstrate all the patterns and design
principles I think useful for big frontend applications.

The problem with the initial implementation

The first issue I would like to address is how busy the component
is. By that, I mean Payment deals with different things and makes the
code difficult to read as you have to switch context in your head as you
read.

In order to make any changes you have to comprehend
how to initialise network request
,

how to map the data to a local format that the component can understand
,

how to render each payment method
,
and
the rendering logic for Payment component itself
.

src/Payment.tsx…

  export const Payment = ({ amount }: { amount: number }) => {
    const [paymentMethods, setPaymentMethods] = useState<LocalPaymentMethod[]>(
      []
    );
  
    useEffect(() => {
      const fetchPaymentMethods = async () => {
        const url = "https://online-ordering.com/api/payment-methods";
  
        const response = await fetch(url);
        const methods: RemotePaymentMethod[] = await response.json();
  
        if (methods.length > 0) {
          const extended: LocalPaymentMethod[] = methods.map((method) => ({
            provider: method.name,
            label: `Pay with ${method.name}`,
          }));
          extended.push({ provider: "cash", label: "Pay in cash" });
          setPaymentMethods(extended);
        } else {
          setPaymentMethods([]);
        }
      };
  
      fetchPaymentMethods();
    }, []);
  
    return (
      <div>
        <h3>Payment</h3>
        <div>
          {paymentMethods.map((method) => (
            <label key={method.provider}>
              <input
                type="radio"
                name="payment"
                value={method.provider}
                defaultChecked={method.provider === "cash"}
              />
              <span>{method.label}</span>
            </label>
          ))}
        </div>
        <button>${amount}</button>
      </div>
    );
  };

It’s not a big problem at this stage for this simple example.
However, as the code gets bigger and more complex, we’ll need to
refactoring them a bit.

It’s good practice to split view and non-view code into separate
places. The reason is, in general, views are changing more frequently than
non-view logic. Also, as they deal with different aspects of the
application, separating them allows you to focus on a particular
self-contained module that is much more manageable when implementing new
features.

The split of view and non-view code

In React, we can use a custom hook to maintain state of a component
while keeping the component itself more or less stateless. We can
use Extract Function
to create a function called usePaymentMethods (the
prefix use is a convention in React to indicate the function is a hook
and handling some states in it):

src/Payment.tsx…

  const usePaymentMethods = () => {
    const [paymentMethods, setPaymentMethods] = useState<LocalPaymentMethod[]>(
      []
    );
  
    useEffect(() => {
      const fetchPaymentMethods = async () => {
        const url = "https://online-ordering.com/api/payment-methods";
  
        const response = await fetch(url);
        const methods: RemotePaymentMethod[] = await response.json();
  
        if (methods.length > 0) {
          const extended: LocalPaymentMethod[] = methods.map((method) => ({
            provider: method.name,
            label: `Pay with ${method.name}`,
          }));
          extended.push({ provider: "cash", label: "Pay in cash" });
          setPaymentMethods(extended);
        } else {
          setPaymentMethods([]);
        }
      };
  
      fetchPaymentMethods();
    }, []);
  
    return {
      paymentMethods,
    };
  };

This returns a paymentMethods array (in type LocalPaymentMethod) as
internal state and is ready to be used in rendering. So the logic in
Payment can be simplified as:

src/Payment.tsx…

  export const Payment = ({ amount }: { amount: number }) => {
    const { paymentMethods } = usePaymentMethods();
  
    return (
      <div>
        <h3>Payment</h3>
        <div>
          {paymentMethods.map((method) => (
            <label key={method.provider}>
              <input
                type="radio"
                name="payment"
                value={method.provider}
                defaultChecked={method.provider === "cash"}
              />
              <span>{method.label}</span>
            </label>
          ))}
        </div>
        <button>${amount}</button>
      </div>
    );
  };

This helps relieve the pain in the Payment component. However, if you
look at the block for iterating through paymentMethods, it seems a
concept is missing here. In other words, this block deserves its own
component. Ideally, we want each component to focus on, only one
thing.

Data modelling to encapsulate logic

So far, the changes we have made are all about splitting view and
non-view code into different places. It works well. The hook handles data
fetching and reshaping. Both Payment and PaymentMethods are relatively
small and easy to understand.

However, if you look closely, there is still room for improvement. To
start with, in the pure function component PaymentMethods, we have a bit
of logic to check if a payment method should be checked by default:

src/Payment.tsx…

  const PaymentMethods = ({
    paymentMethods,
  }: {
    paymentMethods: LocalPaymentMethod[];
  }) => (
    <>
      {paymentMethods.map((method) => (
        <label key={method.provider}>
          <input
            type="radio"
            name="payment"
            value={method.provider}
            defaultChecked={method.provider === "cash"}
          />
          <span>{method.label}</span>
        </label>
      ))}
    </>
  );

These test statements in a view can be considered a logic leak, and
gradually they can be scatted in different places and make modification
harder.

Another point of potential logic leakage is in the data conversion
where we fetch data:

src/Payment.tsx…

  const usePaymentMethods = () => {
    const [paymentMethods, setPaymentMethods] = useState<LocalPaymentMethod[]>(
      []
    );
  
    useEffect(() => {
      const fetchPaymentMethods = async () => {
        const url = "https://online-ordering.com/api/payment-methods";
  
        const response = await fetch(url);
        const methods: RemotePaymentMethod[] = await response.json();
  
        if (methods.length > 0) {
          const extended: LocalPaymentMethod[] = methods.map((method) => ({
            provider: method.name,
            label: `Pay with ${method.name}`,
          }));
          extended.push({ provider: "cash", label: "Pay in cash" });
          setPaymentMethods(extended);
        } else {
          setPaymentMethods([]);
        }
      };
  
      fetchPaymentMethods();
    }, []);
  
    return {
      paymentMethods,
    };
  };

Note the anonymous function inside methods.map does the conversion
silently, and this logic, along with the method.provider === "cash"
above can be extracted into a class.

We could have a class PaymentMethod with the data and behaviour
centralised into a single place:

src/PaymentMethod.ts…

  class PaymentMethod {
    private remotePaymentMethod: RemotePaymentMethod;
  
    constructor(remotePaymentMethod: RemotePaymentMethod) {
      this.remotePaymentMethod = remotePaymentMethod;
    }
  
    get provider() {
      return this.remotePaymentMethod.name;
    }
  
    get label() {
      if(this.provider === 'cash') {
        return `Pay in ${this.provider}`
      }
      return `Pay with ${this.provider}`;
    }
  
    get isDefaultMethod() {
      return this.provider === "cash";
    }
  }

With the class, I can define the default cash payment method:

const payInCash = new PaymentMethod({ name: "cash" });

And during the conversion – after the payment methods are fetched from
the remote service – I can construct the PaymentMethod object in-place. Or even
extract a small function called convertPaymentMethods:

src/usePaymentMethods.ts…

  const convertPaymentMethods = (methods: RemotePaymentMethod[]) => {
    if (methods.length === 0) {
      return [];
    }
  
    const extended: PaymentMethod[] = methods.map(
      (method) => new PaymentMethod(method)
    );
    extended.push(payInCash);
  
    return extended;
  };

Also, in the PaymentMethods component, we don’t use the
method.provider === "cash"to check anymore, and instead call the
getter:

src/PaymentMethods.tsx…

  export const PaymentMethods = ({ options }: { options: PaymentMethod[] }) => (
    <>
      {options.map((method) => (
        <label key={method.provider}>
          <input
            type="radio"
            name="payment"
            value={method.provider}
            defaultChecked={method.isDefaultMethod}
          />
          <span>{method.label}</span>
        </label>
      ))}
    </>
  );

Now we’re restructuring our Payment component into a bunch of smaller
parts that work together to finish the work.

Figure 7: Refactored Payment with more parts that can be composed easily

The benefits of the new structure

• Having a class encapsulates all the logic around a payment method. It’s a
  domain object and doesn’t have any UI-related information. So testing and
  potentially modifying logic here is much easier than when embedded in a
  view.
• The new extracted component PaymentMethods is a pure function and only
  depends on a domain object array, which makes it super easy to test and reuse
  elsewhere. We might need to pass in a onSelect callback to it, but even in
  that case, it’s a pure function and doesn’t have to touch any external
  states.
• Each part of the feature is clear. If a new requirement comes, we can
  navigate to the right place without reading all the code.

I have to make the example in this article sufficiently complex so that
many patterns can be extracted. All these patterns and principles are
there to help simplify our code’s modifications.

Internal state: agree to donation

To make these changes in Payment, we need a boolean state
agreeToDonate to indicate whether a user selected the checkbox on the
page.

src/Payment.tsx…

  const [agreeToDonate, setAgreeToDonate] = useState<boolean>(false);

  const { total, tip } = useMemo(
    () => ({
      total: agreeToDonate ? Math.floor(amount + 1) : amount,
      tip: parseFloat((Math.floor(amount + 1) - amount).toPrecision(10)),
    }),
    [amount, agreeToDonate]
  );

The function Math.floor will round the number down so we can get the
correct amount when the user selects agreeToDonate, and the difference
between the rounded-up value and the original amount will be assigned to tip.

And for the view, the JSX will be a checkbox plus a short
description:

src/Payment.tsx…

  return (
    <div>
      <h3>Payment</h3>
      <PaymentMethods options={paymentMethods} />
      <div>
        <label>
          <input
            type="checkbox"
            onChange={handleChange}
            checked={agreeToDonate}
          />
          <p>
            {agreeToDonate
              ? "Thanks for your donation."
              : `I would like to donate $${tip} to charity.`}
          </p>
        </label>
      </div>
      <button>${total}</button>
    </div>
  );

With these new changes, our code starts handling multiple things again.
It’s essential to stay alert for potential mixing of view and non-view
code. If you find any unnecessary mixing, look for ways to split them.

Note that it’s not a set-in-stone rule. Keep things all together nice
and tidy for small and cohesive components, so you don’t have to look in
multiple places to understand the overall behaviour. Generally, you should
be aware to avoid the component file growing too big to comprehend.

More changes about round-up logic

The round-up looks good so far, and as the business expands to other
countries, it comes with new requirements. The same logic doesn’t work in
Japan market as 0.1 Yen is too small as a donation, and it needs to round
up to the nearest hundred for the Japanese currency. And for Denmark, it
needs to round up to the nearest tens.

It sounds like an easy fix. All I need is a countryCode passed into
the Payment component, right?

<Payment amount={3312} countryCode="JP" />;

And because all of the logic is now defined in the useRoundUp hook, I
can also pass the countryCode through to the hook.

const useRoundUp = (amount: number, countryCode: string) => {
  //...

  const { total, tip } = useMemo(
    () => ({
      total: agreeToDonate
        ? countryCode === "JP"
          ? Math.floor(amount / 100 + 1) * 100
          : Math.floor(amount + 1)
        : amount,
      //...
    }),
    [amount, agreeToDonate, countryCode]
  );
  //...
};

You will notice that the if-else can go on and on as a new
countryCode is added in the useEffect block. And for the
getTipMessage, we need the same if-else checks as a different country
may use other currency sign (instead of a dollar sign by default):

const formatCheckboxLabel = (
  agreeToDonate: boolean,
  tip: number,
  countryCode: string
) => {
  const currencySign = countryCode === "JP" ? "¥" : "$";

  return agreeToDonate
    ? "Thanks for your donation."
    : `I would like to donate ${currencySign}${tip} to charity.`;
};

One last thing we also need to change is the currency sign on the
button:

<button>
  {countryCode === "JP" ? "¥" : "$"}
  {total}
</button>;