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An elegant library to solve duplicate and concurrent calls for idempotent functions, pure function. Less than 1 KB after Gzip
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import idmp from 'idmp'
const getInfo = async () => {
const API = `https://haozi.me/?api/your-info`
return await fetch(API).then((d) => d.text())
}
// Only one line need to change
export const getInfoIdmp = () => idmp('/api/your-info', getInfo)
for (let i = 0; i < 10; ++i) {
getInfoIdmp().then((d) => {
console.log(d)
})
}
Check the network console, there will be only 1 network request, but 10 callbacks will be triggered correctly.
const getInfoById = async (id: string) => {
const API = `https://haozi.me/?api/your-info&id=${id}`
return await fetch(API).then((d) => d.json())
}
// Handle params
export const getInfoByIdIdmp = (id: string) =>
idmp(`/api/your-info?${id}`, () => getInfoById(id))
// Or a more generic type juggling, for complex params, idmp will infer the return type automatically, keep it consistent with the original function
export const getInfoByIdIdmp = (...args: Parameters<typeof getInfoById>) =>
idmp(`/api/your-info?${JSON.stringify(args)}`, () => getInfoById(...args))
// More options
export const getInfoByIdIdmp = (id: string) =>
idmp(`/api/your-info?${id}`, () => getInfoById(id), {
maxAge: 86400 * 1000,
})
Then replace getInfoByIdIdmp
with getInfoById
.
declare const idmp: {
<T>(
globalKey: GlobalKey,
promiseFunc: IdmpPromise<T>,
options?: IdmpOptions,
): Promise<T>
flush: (globalKey: GlobalKey) => void
flushAll: () => void
}
type IdmpPromise<T> = () => Promise<T>
type GlobalKey = string | number | symbol | false | null | undefined
IdmpOptions:
Property | Type | Default | Description |
---|---|---|---|
maxRetry | number | 30 | Maximum number of retry attempts. |
maxAge | number | 3000 | Maximum age in milliseconds. The maximum value is 604800000ms (7 days). |
onBeforeRetry | function | - | Function to be executed before a retry attempt. Takes two parameters: err (any type) and extra (an object with properties globalKey of type GlobalKey and retryCount of type number ). Returns void . |
flush
is a static method of idmp
that will immediately clear the cache so that the next call shortly after will not use the cache.
flush
takes a globalKey
as parameter, has no return value. Calling it repeatedly or with a non-existing globalKey will not have any prompts.
const fetchData = () => idmp('key', async () => data)
idmp.flush('key')
fetchData().then(...) // will skip cache
flushAll
is a static method of idmp
that will immediately clear all caches so that the next calls shortly after will not use caches.
flushAll
is idempotent like flush
, no params or return value. Calling it multiple times will not have any prompts.
const fetchData1 = () => idmp('key1', async () => data1)
const fetchData2 = () => idmp('key2', async () => data2)
idmp.flushAll()
fetchData1().then(...) // will skip cache
fetchData2().then(...) // will skip cache
You can do some works with flush or flushAll, for example, auto refresh list after clicking the save button, should fetch the latest data from server forcibly.
In React, you can share requests using swr, Provider and more complex state management libraries. But there are some problems:
idmp
lets you focus more on local stateSee demo and source code
So when module A or module B's code is deleted, there is no need to maintain their cache.
Module A and B have greater independence, can be reused across projects, without having to be wrapped in a specific Provider.
import useSWR from 'swr'
function Profile() {
const { data, error, isLoading } = useSWR('/api/user', fetcher)
if (error) return <div>failed to load</div>
if (isLoading) return <div>loading...</div>
return <div>hello {data.name}!</div>
}
The example on swr's homepage is very elegant, but in practice a view is likely to come from more than one data source. Because Hooks can't be nested and have conditional branches. Assume there are two interfaces, B depends on the result of A as params, the code will quickly deteriorate to the following form:
...
const { data: dataA } = useSWR('/api/a', fetchA)
const { data: dataB } = useSWR(dataA ? `/api/b${JSON.stringify(dataA)}` : null, () => dataA ? fetchB(dataA): null)
...
This doesn't handle exception cases yet, and there are only 2 interfaces. If there are n related interfaces, the code complexity deteriorates at a rate of $O(2^n)$
$$ C_{n}^{0} + C_{n}^{1} + C_{n}^{2} + ... + C_{n}^{n} = 2^n $$
There are several optimization forms:
Since idmp
is a pure function, it can be called outside Hooks and works well with swr. We can naively wrap the two interfaces fetchAIdmp and fetchBIdmp:
const fetchAIdmp = () => idmp('/api/a', fetchA)
const fetchBIdmp = async () => {
const dataA = await fetchAIdmp()
const dataB = await idmp(`/api/b+${JSON.stringify(dataA)}`, () =>
fetchB(dataA),
)
return dataB
}
Then use swr to synchronously call these two "no-dependent" fetchers in Hooks:
...
const { data: dataA } = useSWR('/api/a', fetchAIdmp)
const { data: dataB } = useSWR('/api/b', fetchBIdmp)
...
By dissolving the permutations and combinations between them, the complexity is reduced to $O(n)$
$$ C_{n}^{0} + C_{n}^{0} + C_{n}^{0} + ... + C_{n}^{0} = n $$
When the page no longer needs to directly consume dataA someday, just delete the code requesting dataA, no mental burden.
Assuming an interface has a 10% failure rate, the probability of still failing after 3 retries will drop to 0.1%
Using idmp
to wrap the interface, it will automatically retry on timeouts or failures, which greatly reduces the occurrence of abnormal situations. Before each retry, you can monitor exceptions through the onBeforeRetry
hook function (note that it will not capture the last error)
const getUserData = idmp(
'using a deduplicated string as a key',
async () => {
await fetch(xxx)
},
{
onBeforeRetry: (rejectReason) => {
log(rejectReason)
},
maxRetry: 30, // default
},
)
Although the second parameter of idmp
must be a Promise function, since synchronous functions can be easily wrapped into Promise objects. In principle, idmp
can cache any function calls in addition to network requests.
This is an unoptimized Fibonacci sequence example, calculating to item 45 takes about 10s:
const fib = (n) => {
if (n <= 2) return 1
return fib(n - 2) + fib(n - 1)
}
const fibIdmp = (n) => idmp(`fib${n}`, async () => fib(n), { maxAge: Infinity })
for (let i = 0; i < 100; i++) {
fibIdmp(40).then(console.log)
}
After caching, calling 100 times only calculated 1 time, the other 99 times are $O(1)$ lookup performance.
Due to the mutability of js data, if the cached data is modified externally, it will lead to inconsistent data afterwards, so idmp
does not allow write operations on the return data.
In the development environment, Object.freeze will be used to recursively freeze the data, but for runtime performance, this check will be ignored.
This should be the most elegant solution, avoiding runtime deep cloning of data, so idmp
can not only cache JSON data, but also more complex data structures.
requestIdmp().then((data) => {
data.hello = 'world' // Not allow
const newData = { ...data }
newData.hello = 'new world' // Allow
// Note: Due to js syntax, writing newData.aaa.bbb
// will still change the original data, which will also throw error in dev
})
The following usage is not allowed:
const config = {
maxAge: 5000,
}
const getInfoIdmp = () => idmp('/api/your-info', getInfo, config)
getInfoIdmp().then(() => {
config.maxAge = 0
})
Because this will cause inconsistent behavior after multiple calls when the behavior may be modified externally. This will also be automatically detected in the development environment. If you want to refresh the cache after performing some operations, you should use the idmp.flush
or idmp.flushAll
methods
The function will retry and cache request data internally, so it is not suitable for the following scenarios:
Note: Setting maxAge to 0 will still cache data for a short time, because internally it uses setTimeout(..., maxAge)
to clean up the cache, and js's setTimeout is inaccurate and it is a macro task slower than micro task.
In addition, setting to 0 still performs request retries, can be used to implement some scenarios with high robustness requirements for interfaces and not strict timeliness.
If you want to completely not cache the result, please set the first parameter to a falsy value: '' | false | null | undefined | 0
, it will completely degrade to the original function, without failure retries.
idmp(`xxx`, fetchData, { maxAge: 0 }) // Still share data for a short time, still retry
idmp(null, fetchData) // Will ignore all options, same as executing fetchData directly
The core principle of idmp
is sharing a memory address, using a unique identifier to determine if it is a duplicate call of the same function.
The resolve and reject of each Promise will be recorded, maintaining a state machine internally, and completing the callback when fulfilled or rejected.
In addition, in the development environment (process.env.NODE_ENV !== "production")
, a very geek way is used to determine if the same key value is globally reused, interested can read the source code.
The core principle of idmp
is maintaining a globally shared cache space and state machine, since objects cannot be quickly compared for equality in js, we have to use global KEYs, so a globally unique KEY is required.
The optional value types of KEY are string | number | symbol
, and a falsy value false | null | undefined | '' | 0
, note that 0
and empty string ''
are used as falsy values, there will be no caching or retry effects.
If a method needs to be called multiple times with different parameters, different KEYs should be used, a classic way is to JSON.stringify
the params:
const getInfo = async (options) => {
const { id } = options
const API = `https://google.com/api/your-info?id=${id}`
return await fetch(API).then((d) => d.json())
}
export const getInfoIdmp = (options) =>
idmp(`/api/your-info${JSON.stringify(options)}`, () => getUserData(options))
In the dev environment, there is a built-in check warning if the same KEY is used in different places. Assigning the same KEY to different Promises may lead to unexpected results.
If you have more complex network requirements like auto refresh, local and remote data contention, etc, idmp
cannot implement related functions as pure function, you can try swr and swrv.
FAQs
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We found that idmp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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