This rule raises an issue when the code cognitive complexity of a function is above a certain threshold.
Cognitive Complexity is a measure of how hard it is to understand the control flow of a unit of code. Code with high cognitive complexity is hard to read, understand, test, and modify.
As a rule of thumb, high cognitive complexity is a sign that the code should be refactored into smaller, easier-to-manage pieces.
Here are the core concepts:
The method of computation is fully detailed in the pdf linked in the resources.
Note that the calculation of cognitive complexity at function level deviates from the documented process. Given the functional nature of JavaScript, nesting functions is a prevalent practice, especially within frameworks like React.js. Consequently, the cognitive complexity of functions remains independent from one another. This means that the complexity of a nesting function does not increase with the complexity of nested functions.
Developers spend more time reading and understanding code than writing it. High cognitive complexity slows down changes and increases the cost of maintenance.
Cognitive complexity calculations exclude logical expressions using the || and ?? operators when applied within the
context of default value code patterns.
function greet(name) {
name = name || 'Guest';
console.log('Hello, ' + name + '!');
}
Reducing cognitive complexity can be challenging.
Here are a few suggestions:
.? or ?? operator
replaces multiple tests and simplifies the flow. Extraction of a complex condition in a new function.
The code is using a complex condition and has a cognitive cost of 3.
function calculateFinalPrice(user, cart) {
let total = calculateTotal(cart);
if (user.hasMembership // +1 (if)
&& user.orders > 10 // +1 (more than one condition)
&& user.accountActive
&& !user.hasDiscount
|| user.orders === 1) { // +1 (change of operator in condition)
total = applyDiscount(user, total);
}
return total;
}
Even if the cognitive complexity of the whole program did not change, it is easier for a reader to understand the code of the
calculateFinalPrice function, which now only has a cognitive cost of 1.
function calculateFinalPrice(user, cart) {
let total = calculateTotal(cart);
if (isEligibleForDiscount(user)) { // +1 (if)
total = applyDiscount(user, total);
}
return total;
}
function isEligibleForDiscount(user) {
return user.hasMembership
&& user.orders > 10 // +1 (more than one condition)
&& user.accountActive
&& !user.hasDiscount
|| user.orders === 1 // +1 (change of operator in condition)
}
Break down large functions.
For example, consider a function that calculates the total price of a shopping cart, including sales tax and shipping.
Note: The code
is simplified here, to illustrate the purpose. Please imagine there is more happening in the for loops.
function calculateTotal(cart) {
let total = 0;
for (let i = 0; i < cart.length; i++) { // +1 (for)
total += cart[i].price;
}
// calculateSalesTax
for (let i = 0; i < cart.length; i++) { // +1 (for)
total += 0.2 * cart[i].price;
}
//calculateShipping
total += 5 * cart.length;
return total;
}
This function could be refactored into smaller functions: The complexity is spread over multiple functions and the complex
calculateTotal has now a complexity score of zero.
function calculateTotal(cart) {
let total = calculateSubtotal(cart);
total += calculateSalesTax(cart);
total += calculateShipping(cart);
return total;
}
function calculateSubtotal(cart) {
let subTotal = 0;
for (const item of cart) { // +1 (for)
subTotal += item.price;
}
return subTotal;
}
function calculateSalesTax(cart) {
let salesTax = 0;
for (const item of cart) { // +1 (for)
salesTax += 0.2 * item.price;
}
return salesTax;
}
function calculateShipping(cart) {
return 5 * cart.length;
}
Avoid deep nesting by returning early.
The below code has a cognitive complexity of 6.
function calculateDiscount(price, user) {
if (isEligibleForDiscount(user)) { // +1 ( if )
if (user?.hasMembership) { // +2 ( nested if )
return price * 0.9;
} else if (user?.orders === 1 ) { // +1 ( else )
return price * 0.95;
} else { // +1 ( else )
return price;
}
} else { // +1 ( else )
return price;
}
}
Checking for the edge case first flattens the if statements and reduces the cognitive complexity to 3.
function calculateDiscount(price, user) {
if (!isEligibleForDiscount(user)) { // +1 ( if )
return price;
}
if (user?.hasMembership) { // +1 ( if )
return price * 0.9;
}
if (user?.orders === 1) { // +1 ( if )
return price * 0.95;
}
return price;
}
Use the optional chaining operator to access data.
In the below code, the cognitive complexity is increased due to the multiple checks required to access the manufacturer’s name. This can be simplified using the optional chaining operator.
let manufacturerName = null;
if (product && product.details && product.details.manufacturer) { // +1 (if) +1 (multiple condition)
manufacturerName = product.details.manufacturer.name;
}
if (manufacturerName) { // +1 (if)
console.log(manufacturerName);
} else {
console.log('Manufacturer name not found');
}
The optional chaining operator will return undefined if any reference in the chain is undefined or null,
avoiding multiple checks:
let manufacturerName = product?.details?.manufacturer?.name;
if (manufacturerName) { // +1 (if)
console.log(manufacturerName);
} else {
console.log('Manufacturer name not found');
}
As this code is complex, ensure that you have unit tests that cover the code before refactoring.