图片来源:__mxin
// 扩展被代理对象的标志属性声明
export interface Target {
[ReactiveFlags.SKIP]?: boolean //是否是不可代理对象,被markRaw()过则为true
[ReactiveFlags.IS_REACTIVE]?: boolean //是否被reactive代理过
[ReactiveFlags.IS_READONLY]?: boolean //是否被readonly代理过
[ReactiveFlags.RAW]?: any //被代理的原对象 const p = reactive(obj); p[ReactiveFlags.RAW] === obj 为true
}
function targetTypeMap(rawType: string) {
switch (rawType) {
case 'Object':
case 'Array':
return TargetType.COMMON // 普通引用类型
case 'Map':
case 'Set':
case 'WeakMap':
case 'WeakSet':
return TargetType.COLLECTION // 集合引用类型
default:
return TargetType.INVALID // invalid不可被代理的基本数据类型 int boolean string
}
}
// 运用ts函数重载机制让reactive有2种不同类型的入参、返回
export function reactive<T extends object>(target: T): UnwrapNestedRefs<T>
export function reactive(target: object) {
// if trying to observe a readonly proxy, return the readonly version.
if (target && (target as Target)[ReactiveFlags.IS_READONLY]) {
return target
}
return createReactiveObject(
target,
false, // isReadonly
mutableHandlers, // 用于Object Array 类型创建Proxy
mutableCollectionHandlers // 用于Set Map WeakSet WeakMap 类型创建Proxy
)
}
// 创建响应式代理对象
function createReactiveObject(
target: Target,
isReadonly: boolean,
baseHandlers: ProxyHandler<any>,
collectionHandlers: ProxyHandler<any>
) {
// target已经被代理过,并且不是为了将响应式对象变为只读则直接返回
if (
target[ReactiveFlags.RAW] &&
!(isReadonly && target[ReactiveFlags.IS_REACTIVE])
) {
return target
}
// 从缓存(readonlyMap,reactiveMap)中查找,如果已经被代理过则直接返回
const proxyMap = isReadonly ? readonlyMap : reactiveMap
const existingProxy = proxyMap.get(target)
if (existingProxy) {
return existingProxy
}
// 只有非基本类型类能被响应式
const targetType = getTargetType(target)
if (targetType === TargetType.INVALID) { // 是否是基本类型
return target
}
const proxy = new Proxy(
target,
targetType === TargetType.COLLECTION ? collectionHandlers : baseHandlers
)
proxyMap.set(target, proxy) // 缓存新代理后的对象
return proxy
}
// mutableHandlers是Proxy的代理配置,const r = new Proxy(obj,mutableHandlers)
export const mutableHandlers: ProxyHandler<object> = {
get: createGetter,
set: createSetter,
deleteProperty,
has,
ownKeys
}
function createGetter(isReadonly = false, shallow = false) {
return function get(target: Target, key: string | symbol, receiver: object) {
if (key === ReactiveFlags.IS_REACTIVE) {
return !isReadonly
} else if (key === ReactiveFlags.IS_READONLY) {
return isReadonly
} else if (
key === ReactiveFlags.RAW &&
receiver === (isReadonly ? readonlyMap : reactiveMap).get(target)
) {
// 如果key是'__v_raw未被代理标记属性'且target已被响应式代理过,则直接返回该代理的原对象
// 应用场景 const originObj = toRaw(reactive(obj)); originObj === obj 为 true
return target
}
const targetIsArray = isArray(target)
if (!isReadonly && targetIsArray && hasOwn(arrayInstrumentations, key)) {
// 代理数组的 'includes', 'indexOf', 'lastIndexOf' 方法并触发依赖收集
// 代理数组的 'push', 'pop', 'shift', 'unshift', 'splice' 并触发依赖的副作用effect
return Reflect.get(arrayInstrumentations, key, receiver)
}
const res = Reflect.get(target, key, receiver)
if (
isSymbol(key)
? builtInSymbols.has(key as symbol)
: key === `__proto__` || key === `__v_isRef`
) {
return res
}
if (!isReadonly) {
// 如果不是只读代理触发依赖收集
track(target, TrackOpTypes.GET, key)
}
// 如果是shallowReactive()直接返回结果,如果target[key]是引用类型则对该值进行响应式收集
// 这里充分说明了vue3 reactive()的时候只代理了target的属性这一层,只有当访问target的某一个引用类型属性时才向下继续代理一层,而不是像vue2一样在初始化的时候迭代代理所有引用类型
if (shallow) {
return res
}
if (isRef(res)) {
const shouldUnwrap = !targetIsArray || !isIntegerKey(key)
return shouldUnwrap ? res.value : res
}
if (isObject(res)) {
return isReadonly ? readonly(res) : reactive(res)
}
return res
}
}
function createSetter(shallow = false) {
return function set(
target: object,
key: string | symbol,
value: unknown,
receiver: object
): boolean {
const oldValue = (target as any)[key]
if (!shallow) {
value = toRaw(value)
if (!isArray(target) && isRef(oldValue) && !isRef(value)) {
// 如果不是数组,且旧值是ref类型,新值不是ref类型
oldValue.value = value
return true
}
} else {
// 如果是shallowReactive()返回的proxy,修改其属性时不会触发响应式副作用effect
}
// 如果是对象返回true,如果是数组看是否是合法下标或length indexOf push等自有属性
const hadKey =
isArray(target) && isIntegerKey(key)
? Number(key) < target.length
: hasOwn(target, key)
const result = Reflect.set(target, key, value, receiver)
// don't trigger if target is something up in the prototype chain of original
if (target === toRaw(receiver)) {
if (!hadKey) {
// 触发该属性的副作用effect,且类型为新增属性
trigger(target, TriggerOpTypes.ADD, key, value)
} else if (hasChanged(value, oldValue)) {
// 触发该属性的副作用effect,且类型为修改属性
trigger(target, TriggerOpTypes.SET, key, value, oldValue)
}
}
return result
}
}
// 代理target的deleteProperty方法,在删除成功后触发依赖的副作用effect
function deleteProperty(target: object, key: string | symbol): boolean {
const hadKey = hasOwn(target, key)
const oldValue = (target as any)[key]
const result = Reflect.deleteProperty(target, key)
if (result && hadKey) { // 如果属性存在并删除成功,触发依赖该属性的副作用effect
trigger(target, TriggerOpTypes.DELETE, key, undefined, oldValue)
}
return result
}
// 代理target的has方法,触发该属性的依赖收集
function has(target: object, key: string | symbol): boolean {
const result = Reflect.has(target, key)
if (!isSymbol(key) || !builtInSymbols.has(key)) {
// 如果不是symbol类型则触发对该属性依赖的收集
track(target, TrackOpTypes.HAS, key)
}
return result
}
// 代理target的ownKeys方法,触发该属性的依赖收集
function ownKeys(target: object): (string | number | symbol)[] {
// 触发对该属性依赖的收集
track(target, TrackOpTypes.ITERATE, isArray(target) ? 'length' : ITERATE_KEY)
return Reflect.ownKeys(target)
}
export function readonly<T extends object>(
target: T
): DeepReadonly<UnwrapNestedRefs<T>> {
return createReactiveObject(
target,
true, // isReadonly
readonlyHandlers, // 用于Object Array 类型创建Proxy
readonlyCollectionHandlers // 用于Set Map WeakSet WeakMap 类型创建Proxy
)
}
export const readonlyHandlers: ProxyHandler<object> = {
get: readonlyGet, // 与reactive 的 createGetter一样,只是第一个参数为true
set(target, key) {
if (__DEV__) {
console.warn(
`Set operation on key "${String(key)}" failed: target is readonly.`,
target
)
}
return true
},
deleteProperty(target, key) {
if (__DEV__) {
console.warn(
`Delete operation on key "${String(key)}" failed: target is readonly.`,
target
)
}
return true
}
}
// 运用ts函数重载机制让ref有4种不同类型的入参、返回
export function ref<T extends object>(value: T): ToRef<T>
export function ref<T>(value: T): Ref<UnwrapRef<T>>
export function ref<T = any>(): Ref<T | undefined>
export function ref(value?: unknown) {
return createRef(value)
}
// ref底层不是通过proxy实现的,而是自定义类RefImpl
function createRef(rawValue: unknown, shallow = false) {
if (isRef(rawValue)) {
return rawValue
}
return new RefImpl(rawValue, shallow)
}
// 将原始数据存储在_value,拦截定义value属性的get set方法实现依赖收集和修改更新响应
class RefImpl<T> {
private _value: T
public readonly __v_isRef = true
constructor(private _rawValue: T, public readonly _shallow = false) {
// 如果是浅响应则无论是引用类型还是基础类型都直接存储原始数据
this._value = _shallow ? _rawValue : convert(_rawValue) // 注意covert在下面讲解下
}
get value() {
// get触发依赖收集,toRaw(this)是被ref(data)包裹的原始数据data
track(toRaw(this), TrackOpTypes.GET, 'value')
return this._value
}
set value(newVal) {
// 如果新旧值没有变化则不处理
if (hasChanged(toRaw(newVal), this._rawValue)) {
this._rawValue = newVal
this._value = this._shallow ? newVal : convert(newVal)
// trigger 触发依赖此属性的effect重新执行,toRaw(this)是被ref(data)包裹的原始数据data
trigger(toRaw(this), TriggerOpTypes.SET, 'value', newVal)
}
}
}
// 如果被const r = ref(data)包裹的原始数据data是引用类型,则对引用类型进行响应式处理,否则直接返回基本类型。
// 为什么要这样处理呢?
// 因为如果不这样做的话,r.value的变化会被get set拦截处理,但是r.value.xxx无法被拦截失去了响应
const convert = <T extends unknown>(val: T): T => isObject(val) ? reactive(val) : val
// 将reactive数据和ref数据的行为统一成reactive行为
// 主要用于template中html标签属性绑定时不需要写r.value, 直接写r即可
// 让ref类型的数据具有reactive类型的行为(不需要通过r.value.xxx访问,直接r.xxx)
export function proxyRefs<T extends object>(
objectWithRefs: T
): ShallowUnwrapRef<T> {
return isReactive(objectWithRefs)
? objectWithRefs
: new Proxy(objectWithRefs, shallowUnwrapHandlers)
}
const shallowUnwrapHandlers: ProxyHandler<any> = {
get: (target, key, receiver) => unref(Reflect.get(target, key, receiver)),
set: (target, key, value, receiver) => {
const oldValue = target[key]
if (isRef(oldValue) && !isRef(value)) {
oldValue.value = value
return true
} else {
return Reflect.set(target, key, value, receiver)
}
},
}
export function unref<T>(ref: T): T extends Ref<infer V> ? V : T {
return isRef(ref) ? (ref.value as any) : ref
}
// 将reactive对象的某个属性变成ref类型
// const r = toRef(reactive({}),'attr')
export function toRef<T extends object, K extends keyof T>(
object: T,
key: K
): ToRef<T[K]> {
return isRef(object[key])
? object[key]
: (new ObjectRefImpl(object, key) as any)
}
class ObjectRefImpl<T extends object, K extends keyof T> {
public readonly __v_isRef = true
constructor(private readonly _object: T, private readonly _key: K) {}
get value() {
return this._object[this._key]
}
set value(newVal) {
this._object[this._key] = newVal
}
}
// 将reactive对象的所有属性变成ref类型
// const obj = toRefs(reactive({}))
export function toRefs<T extends object>(object: T): ToRefs<T> {
if (__DEV__ && !isProxy(object)) {
console.warn(`toRefs() expects a reactive object but received a plain one.`)
}
const ret: any = isArray(object) ? new Array(object.length) : {}
for (const key in object) {
ret[key] = toRef(object, key)
}
return ret
}
effect的源码非常具有跳跃性,需要多看上面的响应式原理架构图才能理解
watch\computed\render的时候都会创建effect,所以入口来源复杂,入参也复杂
reactive\ref\computed\watch\render\update访问都会级联触发该属性依赖收集track
reactive\ref\computed修改都会级联触发trigger执行该属性的副作用
effectStack 是当前待执行的effect栈
activeEffect 是全局正在触发的effect,每当一个effect触发新的effect入栈的时候activeEffect都会更新为新的,执行完毕后又从effectStack pop出前一个
当调用watch(getter,scheduler,{onTrack,onTrigger})时,可以简单的理解为触发
effect(getter, {
lazy: true, // 非computed
onTrack,
onTrigger,
scheduler
})
export function effect<T = any>(
fn: () => T,
options: ReactiveEffectOptions = EMPTY_OBJ
): ReactiveEffect<T> {
if (isEffect(fn)) {
fn = fn.raw
}
const effect = createReactiveEffect(fn, options)
if (!options.lazy) { // computed属性懒执行,其他副作用执行触发依赖收集
effect()
}
return effect
}
function createReactiveEffect<T = any>(
fn: () => T,
options: ReactiveEffectOptions
): ReactiveEffect<T> {
const effect = function reactiveEffect(): unknown {
if (!effect.active) {
return options.scheduler ? undefined : fn()
}
// effectStack 是当前有效的待执行effect栈
if (!effectStack.includes(effect)) {
cleanup(effect) // 可能有多个响应式属性都会触发该effect,但是该effect只会执行一次不会重复执行,所以从所有依赖属性的副作用数组中删除该effect
try {
enableTracking() // 只有副作用原函数fn()执行期间收集其依赖的响应式属性,执行完毕后不能再收集
effectStack.push(effect)
activeEffect = effect // 当前副作用为全局正在执行的副作用
return fn()
} finally {
// 当前副作用依赖收集完成后退栈并不再触发依赖收集
effectStack.pop()
resetTracking()
activeEffect = effectStack[effectStack.length - 1]
}
}
} as ReactiveEffect
effect.id = uid++
effect.allowRecurse = !!options.allowRecurse
effect._isEffect = true
effect.active = true
effect.raw = fn // 存储原始副作用函数
effect.deps = [] // 该副作用依赖的所有响应式属性
effect.options = options
return effect
}
// 可能有多个响应式属性都会触发该effect,但是该effect只会执行一次不会重复执行,所以从所有依赖属性的副作用数组中删除该effect
function cleanup(effect: ReactiveEffect) {
const { deps } = effect
if (deps.length) {
for (let i = 0; i < deps.length; i++) {
deps[i].delete(effect)
}
deps.length = 0
}
}
export const enum TrackOpTypes {
GET = 'get',
HAS = 'has',
ITERATE = 'iterate'
}
export const enum TriggerOpTypes {
SET = 'set',
ADD = 'add',
DELETE = 'delete',
CLEAR = 'clear'
}
// 依赖收集副作用函数
export function track(target: object, type: TrackOpTypes, key: unknown) {
if (!shouldTrack || activeEffect === undefined) {
return
}
let depsMap = targetMap.get(target) // targetMap存储所有的proxy代理原target
if (!depsMap) {
targetMap.set(target, (depsMap = new Map()))
}
let dep = depsMap.get(key) // depsMap存储某个proxy代理原target里的所有属性
if (!dep) {
depsMap.set(key, (dep = new Set())) // dep存储某个proxy代理原target里的某个属性的所有副作用effect
}
if (!dep.has(activeEffect)) {
dep.add(activeEffect)
activeEffect.deps.push(dep)
if (__DEV__ && activeEffect.options.onTrack) {
// watch(key,()=>{},{onTrack}) 里的onTrack触发此处
// watchEffect(()=>{},{onTrack}) 里的onTrack触发此处
activeEffect.options.onTrack({
effect: activeEffect,
target,
type,
key
})
}
}
}
// 依赖副作用触发函数
export function trigger(
target: object,
type: TriggerOpTypes,
key?: unknown,
newValue?: unknown,
oldValue?: unknown,
oldTarget?: Map<unknown, unknown> | Set<unknown>
) {
const depsMap = targetMap.get(target)
if (!depsMap) {
return
}
const effects = new Set<ReactiveEffect>() // 存储本次操作导致的需要执行的副作用集合
const add = (effectsToAdd: Set<ReactiveEffect> | undefined) => {
if (effectsToAdd) {
effectsToAdd.forEach(effect => {
if (effect !== activeEffect || effect.allowRecurse) {
effects.add(effect)
}
})
}
}
if (type === TriggerOpTypes.CLEAR) {
// 对某个数组或集合执行清空操作时,该数组的所有副作用都要添加到待执行数组中
depsMap.forEach(add)
} else if (key === 'length' && isArray(target)) {
// 当访问数组length属性时只添加其相关的副作用到待执行数组中
depsMap.forEach((dep, key) => {
if (key === 'length' || key >= (newValue as number)) {
add(dep)
}
})
} else {
// schedule runs for SET | ADD | DELETE
if (key !== void 0) { // void 0 === undefined
add(depsMap.get(key))
}
// also run for iteration key on ADD | DELETE | Map.SET
switch (type) {
case TriggerOpTypes.ADD:
if (!isArray(target)) {
add(depsMap.get(ITERATE_KEY))
if (isMap(target)) {
add(depsMap.get(MAP_KEY_ITERATE_KEY))
}
} else if (isIntegerKey(key)) {
// new index added to array -> length changes
add(depsMap.get('length'))
}
break
case TriggerOpTypes.DELETE:
if (!isArray(target)) {
add(depsMap.get(ITERATE_KEY))
if (isMap(target)) {
add(depsMap.get(MAP_KEY_ITERATE_KEY))
}
}
break
case TriggerOpTypes.SET:
if (isMap(target)) {
add(depsMap.get(ITERATE_KEY))
}
break
}
}
// 创建执行副作用的函数
const run = (effect: ReactiveEffect) => {
if (__DEV__ && effect.options.onTrigger) {
effect.options.onTrigger({
effect,
target,
key,
type,
newValue,
oldValue,
oldTarget
})
}
if (effect.options.scheduler) {
// scheduler 可以简单理解为watch(key,cb)的cb
effect.options.scheduler(effect)
} else {
effect()
}
}
effects.forEach(run)
}
// 运用ts函数重载机制让ref有3种不同类型的入参、返回
export function computed<T>(getter: ComputedGetter<T>): ComputedRef<T>
export function computed<T>(
options: WritableComputedOptions<T>
): WritableComputedRef<T>
export function computed<T>(
getterOrOptions: ComputedGetter<T> | WritableComputedOptions<T>
) {
let getter: ComputedGetter<T>
let setter: ComputedSetter<T>
if (isFunction(getterOrOptions)) {
getter = getterOrOptions
setter = __DEV__
? () => {
console.warn('Write operation failed: computed value is readonly')
}
: NOOP
} else {
getter = getterOrOptions.get
setter = getterOrOptions.set
}
return new ComputedRefImpl(
getter,
setter,
isFunction(getterOrOptions) || !getterOrOptions.set // isReadonly
) as any
}
class ComputedRefImpl<T> {
private _value!: T // 当前计算属性返回值
private _dirty = true // 是否有依赖属性变化导致需要重新求值
public readonly effect: ReactiveEffect<T>
public readonly __v_isRef = true;
public readonly [ReactiveFlags.IS_READONLY]: boolean //是否只读
constructor(
getter: ComputedGetter<T>,
private readonly _setter: ComputedSetter<T>,
isReadonly: boolean
) {
this.effect = effect(getter, {
lazy: true, // 初始化时不求值,触发get的时候才求值
scheduler: () => {
if (!this._dirty) {
// 依赖属性发生变化,当前计算属性变脏了,在下次get访问时需要重新求值;触发依赖该计算属性的副作用执行
this._dirty = true
trigger(toRaw(this), TriggerOpTypes.SET, 'value')
}
}
})
this[ReactiveFlags.IS_READONLY] = isReadonly
}
get value() {
if (this._dirty) {
// 第一次访问或依赖属性发生变化才重新求值
this._value = this.effect()
this._dirty = false
}
track(toRaw(this), TrackOpTypes.GET, 'value')
return this._value
}
set value(newValue: T) {
this._setter(newValue)
}
}
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