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Type annotations and type inference

Author:Chuan Chen 阅读数:30724人阅读 分类: TypeScript

TypeScript, as a superset of JavaScript, significantly improves code maintainability and development efficiency through static type checking. Type annotations and type inference are the core mechanisms of TypeScript's type system, working together to provide flexibility while reducing redundant code.

Basic Syntax of Type Annotations

Type annotations are the developer's way of explicitly declaring the types of variables, function parameters, or return values. The syntax is : Type, appended directly after the identifier. For example:

let username: string = "Alice";
const age: number = 25;
function greet(name: string): void {
  console.log(`Hello, ${name}`);
}

Basic types include:

  • string: Text data
  • number: Double-precision floating-point numbers
  • boolean: true/false
  • null/undefined: Requires strict null checks
  • symbol: Unique identifiers
  • bigint: Large integers

Examples of complex type annotations:

// Arrays
const scores: number[] = [90, 85, 95];
// Tuples
let person: [string, number] = ["Bob", 30];
// Object types
const user: { id: number; name?: string } = { id: 1 };

How Type Inference Works

When no explicit type annotation is provided, the TypeScript compiler automatically deduces the type based on context. For example:

let count = 10; // Inferred as number
const message = "Hello"; // Inferred as "Hello" (literal type)
const items = [1, "text", true]; // Inferred as (number | string | boolean)[]

Typical inference for function return values:

function add(a: number, b: number) {
  return a + b; // Return value inferred as number
}
const result = add(3, 5); // result inferred as number

Collaboration Between Annotations and Inference

Best practices include:

  1. Explicitly annotating function parameters
  2. Allowing return value type inference
  3. Relying on inference for variables initialized at declaration

Example comparison:

// Redundant annotation
const price: number = 100;
// More concise inference
const price = 100;

// Necessary parameter annotation
function calculateTotal(quantity: number, unitPrice: number) {
  return quantity * unitPrice; // Return value automatically inferred
}

Scenarios Requiring Mandatory Annotations

Certain situations require type annotations:

  1. Uninitialized variables:
let timer; // Implicit any
let timer: number; // Correct approach
  1. Complex function return values:
interface ApiResponse<T> {
  data: T;
  status: number;
}
function fetchData(): ApiResponse<string[]> {
  return { data: ["item1", "item2"], status: 200 };
}
  1. Function overloads:
function parseInput(input: string): number;
function parseInput(input: number): string;
function parseInput(input: any): any {
  /* Implementation */
}

Advanced Type Inference Techniques

  1. Contextual typing:
const buttons = document.querySelectorAll(".btn"); // NodeListOf<HTMLButtonElement>
buttons.forEach(button => {
  button.disabled = true; // Automatically recognizes button type
});
  1. Conditional type inference:
type UnpackArray<T> = T extends (infer U)[] ? U : T;
type Test = UnpackArray<string[]>; // string
  1. Generic constraint inference:
function merge<T extends object, U extends object>(a: T, b: U) {
  return { ...a, ...b }; // Returns T & U
}
const merged = merge({ name: "Alice" }, { age: 30 }); // { name: string, age: number }

Common Pitfalls and Solutions

  1. Overusing any:
// Bad example
function logValue(value: any) {
  console.log(value.toUpperCase());
}
// Improved solution
function logValue(value: unknown) {
  if (typeof value === "string") {
    console.log(value.toUpperCase());
  }
}
  1. Ignoring strict null checks:
// Requires strictNullChecks: true in tsconfig.json
function getLength(text?: string) {
  return text.length; // Compilation error
  // Correct approach
  return text?.length ?? 0;
}
  1. Misunderstanding union type inference:
const values = [0, 1, "2"]; // (number | string)[]
values.push(true); // Error: boolean cannot be assigned to number | string

Toolchain Integration Practices

  1. JSDoc type hints:
// @ts-check
/**
 * @param {number} x
 * @param {number} y
 * @returns {number}
 */
function multiply(x, y) {
  return x * y;
}
  1. Editor real-time feedback:
interface Product {
  id: number;
  name: string;
  price: number;
}
// Auto-completion for Product properties and methods while typing
const product: Product = {
  // Editor prompts for required fields
};
  1. Special cases for type assertions:
const canvas = document.getElementById("canvas") as HTMLCanvasElement;
// Equivalent to
const canvas = <HTMLCanvasElement>document.getElementById("canvas");

Performance and Best Practices

  1. Avoid deeply nested inference:
// Complex inference may impact compilation speed
type DeepNested<T> = {
  data: T;
  next?: DeepNested<T>;
};
// Break down type definitions appropriately
interface Node<T> {
  data: T;
  next?: Node<T>;
}
  1. Use type aliases judiciously:
// Overuse
type ID = number;
type UserID = ID;
type ProductID = ID;
// More semantic definitions
type UserID = number & { readonly __tag: unique symbol };
type ProductID = number & { readonly __tag: unique symbol };
  1. Compile-time type checking examples:
function processArray(arr: readonly number[]) {
  arr.push(1); // Compilation error: readonly restriction
}
const nums = [1, 2, 3] as const; // Becomes a read-only tuple
nums[0] = 5; // Error: cannot modify

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Front End Chuan

Front End Chuan, Chen Chuan's Code Teahouse 🍵, specializing in exorcising all kinds of stubborn bugs 💻. Daily serving baldness-warning-level development insights 🛠️, with a bonus of one-liners that'll make you laugh for ten years 🐟. Occasionally drops pixel-perfect romance brewed in a coffee cup ☕.