typescript-advanced-types

name	typescript-advanced-types
description	Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.

TypeScript Advanced Types

Comprehensive guidance for mastering TypeScript's advanced type system including generics, conditional types, mapped types, template literal types, and utility types for building robust, type-safe applications.

When to Use This Skill

• Building type-safe libraries or frameworks
• Creating reusable generic components
• Implementing complex type inference logic
• Designing type-safe API clients
• Building form validation systems
• Creating strongly-typed configuration objects
• Implementing type-safe state management
• Migrating JavaScript codebases to TypeScript

Core Concepts

1. Generics

Purpose: Create reusable, type-flexible components while maintaining type safety.

Basic Generic Function:

function identity<T>(value: T): T {
  return value
}

const num = identity<number>(42) // Type: number
const str = identity<string>("hello") // Type: string
const auto = identity(true) // Type inferred: boolean

Generic Constraints:

interface HasLength {
  length: number
}

function logLength<T extends HasLength>(item: T): T {
  console.log(item.length)
  return item
}

logLength("hello") // OK: string has length
logLength([1, 2, 3]) // OK: array has length
logLength({ length: 10 }) // OK: object has length
// logLength(42);             // Error: number has no length

Multiple Type Parameters:

function merge<T, U>(obj1: T, obj2: U): T & U {
  return { ...obj1, ...obj2 }
}

const merged = merge({ name: "John" }, { age: 30 })
// Type: { name: string } & { age: number }

2. Conditional Types

Purpose: Create types that depend on conditions, enabling sophisticated type logic.

Basic Conditional Type:

type IsString<T> = T extends string ? true : false

type A = IsString<string> // true
type B = IsString<number> // false

Extracting Return Types:

type ReturnType<T> = T extends (...args: any[]) => infer R ? R : never

function getUser() {
  return { id: 1, name: "John" }
}

type User = ReturnType<typeof getUser>
// Type: { id: number; name: string; }

Distributive Conditional Types:

type ToArray<T> = T extends any ? T[] : never

type StrOrNumArray = ToArray<string | number>
// Type: string[] | number[]

Nested Conditions:

type TypeName<T> = T extends string
  ? "string"
  : T extends number
    ? "number"
    : T extends boolean
      ? "boolean"
      : T extends undefined
        ? "undefined"
        : T extends Function
          ? "function"
          : "object"

type T1 = TypeName<string> // "string"
type T2 = TypeName<() => void> // "function"

3. Mapped Types

Purpose: Transform existing types by iterating over their properties.

Basic Mapped Type:

type Readonly<T> = {
  readonly [P in keyof T]: T[P]
}

interface User {
  id: number
  name: string
}

type ReadonlyUser = Readonly<User>
// Type: { readonly id: number; readonly name: string; }

Optional Properties:

type Partial<T> = {
  [P in keyof T]?: T[P]
}

type PartialUser = Partial<User>
// Type: { id?: number; name?: string; }

Key Remapping:

type Getters<T> = {
  [K in keyof T as `get${Capitalize<string & K>}`]: () => T[K]
}

interface Person {
  name: string
  age: number
}

type PersonGetters = Getters<Person>
// Type: { getName: () => string; getAge: () => number; }

Filtering Properties:

type PickByType<T, U> = {
  [K in keyof T as T[K] extends U ? K : never]: T[K]
}

interface Mixed {
  id: number
  name: string
  age: number
  active: boolean
}

type OnlyNumbers = PickByType<Mixed, number>
// Type: { id: number; age: number; }

4. Template Literal Types

Purpose: Create string-based types with pattern matching and transformation.

Basic Template Literal:

type EventName = "click" | "focus" | "blur"
type EventHandler = `on${Capitalize<EventName>}`
// Type: "onClick" | "onFocus" | "onBlur"

String Manipulation:

type UppercaseGreeting = Uppercase<"hello"> // "HELLO"
type LowercaseGreeting = Lowercase<"HELLO"> // "hello"
type CapitalizedName = Capitalize<"john"> // "John"
type UncapitalizedName = Uncapitalize<"John"> // "john"

Path Building:

type Path<T> = T extends object
  ? {
      [K in keyof T]: K extends string ? `${K}` | `${K}.${Path<T[K]>}` : never
    }[keyof T]
  : never

interface Config {
  server: {
    host: string
    port: number
  }
  database: {
    url: string
  }
}

type ConfigPath = Path<Config>
// Type: "server" | "database" | "server.host" | "server.port" | "database.url"

5. Utility Types

Built-in Utility Types:

// Partial<T> - Make all properties optional
type PartialUser = Partial<User>

// Required<T> - Make all properties required
type RequiredUser = Required<PartialUser>

// Readonly<T> - Make all properties readonly
type ReadonlyUser = Readonly<User>

// Pick<T, K> - Select specific properties
type UserName = Pick<User, "name" | "email">

// Omit<T, K> - Remove specific properties
type UserWithoutPassword = Omit<User, "password">

// Exclude<T, U> - Exclude types from union
type T1 = Exclude<"a" | "b" | "c", "a"> // "b" | "c"

// Extract<T, U> - Extract types from union
type T2 = Extract<"a" | "b" | "c", "a" | "b"> // "a" | "b"

// NonNullable<T> - Exclude null and undefined
type T3 = NonNullable<string | null | undefined> // string

// Record<K, T> - Create object type with keys K and values T
type PageInfo = Record<"home" | "about", { title: string }>

Advanced Patterns

Pattern 1: Type-Safe Event Emitter

type EventMap = {
  "user:created": { id: string; name: string }
  "user:updated": { id: string }
  "user:deleted": { id: string }
}

class TypedEventEmitter<T extends Record<string, any>> {
  private listeners: {
    [K in keyof T]?: Array<(data: T[K]) => void>
  } = {}

  on<K extends keyof T>(event: K, callback: (data: T[K]) => void): void {
    if (!this.listeners[event]) {
      this.listeners[event] = []
    }
    this.listeners[event]!.push(callback)
  }

  emit<K extends keyof T>(event: K, data: T[K]): void {
    const callbacks = this.listeners[event]
    if (callbacks) {
      callbacks.forEach((callback) => callback(data))
    }
  }
}

const emitter = new TypedEventEmitter<EventMap>()

emitter.on("user:created", (data) => {
  console.log(data.id, data.name) // Type-safe!
})

emitter.emit("user:created", { id: "1", name: "John" })
// emitter.emit("user:created", { id: "1" });  // Error: missing 'name'

Pattern 2: Type-Safe API Client

type HTTPMethod = "GET" | "POST" | "PUT" | "DELETE"

type EndpointConfig = {
  "/users": {
    GET: { response: User[] }
    POST: { body: { name: string; email: string }; response: User }
  }
  "/users/:id": {
    GET: { params: { id: string }; response: User }
    PUT: { params: { id: string }; body: Partial<User>; response: User }
    DELETE: { params: { id: string }; response: void }
  }
}

type ExtractParams<T> = T extends { params: infer P } ? P : never
type ExtractBody<T> = T extends { body: infer B } ? B : never
type ExtractResponse<T> = T extends { response: infer R } ? R : never

class APIClient<Config extends Record<string, Record<HTTPMethod, any>>> {
  async request<Path extends keyof Config, Method extends keyof Config[Path]>(
    path: Path,
    method: Method,
    ...[options]: ExtractParams<Config[Path][Method]> extends never
      ? ExtractBody<Config[Path][Method]> extends never
        ? []
        : [{ body: ExtractBody<Config[Path][Method]> }]
      : [
          {
            params: ExtractParams<Config[Path][Method]>
            body?: ExtractBody<Config[Path][Method]>
          },
        ]
  ): Promise<ExtractResponse<Config[Path][Method]>> {
    // Implementation here
    return {} as any
  }
}

const api = new APIClient<EndpointConfig>()

// Type-safe API calls
const users = await api.request("/users", "GET")
// Type: User[]

const newUser = await api.request("/users", "POST", {
  body: { name: "John", email: "[e-mail]" },
})
// Type: User

const user = await api.request("/users/:id", "GET", {
  params: { id: "123" },
})
// Type: User

Pattern 3: Builder Pattern with Type Safety

type BuilderState<T> = {
  [K in keyof T]: T[K] | undefined
}

type RequiredKeys<T> = {
  [K in keyof T]-?: {} extends Pick<T, K> ? never : K
}[keyof T]

type OptionalKeys<T> = {
  [K in keyof T]-?: {} extends Pick<T, K> ? K : never
}[keyof T]

type IsComplete<T, S> =
  RequiredKeys<T> extends keyof S
    ? S[RequiredKeys<T>] extends undefined
      ? false
      : true
    : false

class Builder<T, S extends BuilderState<T> = {}> {
  private state: S = {} as S

  set<K extends keyof T>(key: K, value: T[K]): Builder<T, S & Record<K, T[K]>> {
    this.state[key] = value
    return this as any
  }

  build(this: IsComplete<T, S> extends true ? this : never): T {
    return this.state as T
  }
}

interface User {
  id: string
  name: string
  email: string
  age?: number
}

const builder = new Builder<User>()

const user = builder
  .set("id", "1")
  .set("name", "John")
  .set("email", "[e-mail]")
  .build() // OK: all required fields set

// const incomplete = builder
//   .set("id", "1")
//   .build();  // Error: missing required fields

Pattern 4: Deep Readonly/Partial

type DeepReadonly<T> = {
  readonly [P in keyof T]: T[P] extends object
    ? T[P] extends Function
      ? T[P]
      : DeepReadonly<T[P]>
    : T[P]
}

type DeepPartial<T> = {
  [P in keyof T]?: T[P] extends object
    ? T[P] extends Array<infer U>
      ? Array<DeepPartial<U>>
      : DeepPartial<T[P]>
    : T[P]
}

interface Config {
  server: {
    host: string
    port: number
    ssl: {
      enabled: boolean
      cert: string
    }
  }
  database: {
    url: string
    pool: {
      min: number
      max: number
    }
  }
}

type ReadonlyConfig = DeepReadonly<Config>
// All nested properties are readonly

type PartialConfig = DeepPartial<Config>
// All nested properties are optional

Pattern 5: Type-Safe Form Validation

type ValidationRule<T> = {
  validate: (value: T) => boolean
  message: string
}

type FieldValidation<T> = {
  [K in keyof T]?: ValidationRule<T[K]>[]
}

type ValidationErrors<T> = {
  [K in keyof T]?: string[]
}

class FormValidator<T extends Record<string, any>> {
  constructor(private rules: FieldValidation<T>) {}

  validate(data: T): ValidationErrors<T> | null {
    const errors: ValidationErrors<T> = {}
    let hasErrors = false

    for (const key in this.rules) {
      const fieldRules = this.rules[key]
      const value = data[key]

      if (fieldRules) {
        const fieldErrors: string[] = []

        for (const rule of fieldRules) {
          if (!rule.validate(value)) {
            fieldErrors.push(rule.message)
          }
        }

        if (fieldErrors.length > 0) {
          errors[key] = fieldErrors
          hasErrors = true
        }
      }
    }

    return hasErrors ? errors : null
  }
}

interface LoginForm {
  email: string
  password: string
}

const validator = new FormValidator<LoginForm>({
  email: [
    {
      validate: (v) => v.includes("@"),
      message: "Email must contain @",
    },
    {
      validate: (v) => v.length > 0,
      message: "Email is required",
    },
  ],
  password: [
    {
      validate: (v) => v.length >= 8,
      message: "Password must be at least 8 characters",
    },
  ],
})

const errors = validator.validate({
  email: "invalid",
  password: "short",
})
// Type: { email?: string[]; password?: string[]; } | null

Pattern 6: Discriminated Unions

type Success<T> = {
  status: "success"
  data: T
}

type Error = {
  status: "error"
  error: string
}

type Loading = {
  status: "loading"
}

type AsyncState<T> = Success<T> | Error | Loading

function handleState<T>(state: AsyncState<T>): void {
  switch (state.status) {
    case "success":
      console.log(state.data) // Type: T
      break
    case "error":
      console.log(state.error) // Type: string
      break
    case "loading":
      console.log("Loading...")
      break
  }
}

// Type-safe state machine
type State =
  | { type: "idle" }
  | { type: "fetching"; requestId: string }
  | { type: "success"; data: any }
  | { type: "error"; error: Error }

type Event =
  | { type: "FETCH"; requestId: string }
  | { type: "SUCCESS"; data: any }
  | { type: "ERROR"; error: Error }
  | { type: "RESET" }

function reducer(state: State, event: Event): State {
  switch (state.type) {
    case "idle":
      return event.type === "FETCH"
        ? { type: "fetching", requestId: event.requestId }
        : state
    case "fetching":
      if (event.type === "SUCCESS") {
        return { type: "success", data: event.data }
      }
      if (event.type === "ERROR") {
        return { type: "error", error: event.error }
      }
      return state
    case "success":
    case "error":
      return event.type === "RESET" ? { type: "idle" } : state
  }
}

Type Inference Techniques

1. Infer Keyword

// Extract array element type
type ElementType<T> = T extends (infer U)[] ? U : never

type NumArray = number[]
type Num = ElementType<NumArray> // number

// Extract promise type
type PromiseType<T> = T extends Promise<infer U> ? U : never

type AsyncNum = PromiseType<Promise<number>> // number

// Extract function parameters
type Parameters<T> = T extends (...args: infer P) => any ? P : never

function foo(a: string, b: number) {}
type FooParams = Parameters<typeof foo> // [string, number]

2. Type Guards

function isString(value: unknown): value is string {
  return typeof value === "string"
}

function isArrayOf<T>(
  value: unknown,
  guard: (item: unknown) => item is T
): value is T[] {
  return Array.isArray(value) && value.every(guard)
}

const data: unknown = ["a", "b", "c"]

if (isArrayOf(data, isString)) {
  data.forEach((s) => s.toUpperCase()) // Type: string[]
}

3. Assertion Functions

function assertIsString(value: unknown): asserts value is string {
  if (typeof value !== "string") {
    throw new Error("Not a string")
  }
}

function processValue(value: unknown) {
  assertIsString(value)
  // value is now typed as string
  console.log(value.toUpperCase())
}

Best Practices

1. Use unknown over any: Enforce type checking
2. Prefer interface for object shapes: Better error messages
3. Use type for unions and complex types: More flexible
4. Leverage type inference: Let TypeScript infer when possible
5. Create helper types: Build reusable type utilities
6. Use const assertions: Preserve literal types
7. Avoid type assertions: Use type guards instead
8. Document complex types: Add JSDoc comments
9. Use strict mode: Enable all strict compiler options
10. Test your types: Use type tests to verify type behavior

Type Testing

// Type assertion tests
type AssertEqual<T, U> = [T] extends [U]
  ? [U] extends [T]
    ? true
    : false
  : false

type Test1 = AssertEqual<string, string> // true
type Test2 = AssertEqual<string, number> // false
type Test3 = AssertEqual<string | number, string> // false

// Expect error helper
type ExpectError<T extends never> = T

// Example usage
type ShouldError = ExpectError<AssertEqual<string, number>>

Common Pitfalls

1. Over-using any: Defeats the purpose of TypeScript
2. Ignoring strict null checks: Can lead to runtime errors
3. Too complex types: Can slow down compilation
4. Not using discriminated unions: Misses type narrowing opportunities
5. Forgetting readonly modifiers: Allows unintended mutations
6. Circular type references: Can cause compiler errors
7. Not handling edge cases: Like empty arrays or null values

Performance Considerations

• Avoid deeply nested conditional types
• Use simple types when possible
• Cache complex type computations
• Limit recursion depth in recursive types
• Use build tools to skip type checking in production