Simple persistent caching.
Project description
rmmbr
gives you a decorator you can place around async functions to have them be cached, locally or in the cloud.
Usage:
npm i rmmbr
import { cloudCache, localCache } from "rmmbr";
const cacher = await localCache({ id: "some-id" });
let nCalled = 0;
const f = (x: number) => {
nCalled++;
return Promise.resolve(x);
};
const fCached = cacher(f);
await fCached(3);
await fCached(3);
// nCalled is 1 here
The local cache stores data in a text file under a .rmmbr
directory.
If you want to persist across devices, there is also a free to use cloud service:
const cacher = cloudCache({
token: "service-token",
url: "https://uriva-rmmbr.deno.dev",
});
As a free service, it comes with no guarantees, best effort only.
There is also a memCache
, if you are feeling nostalgic 😉 and just want to store stuff in memory.
We accept issues for feature requests and SLA requests.
Python
pip install rmmbr
Python largely works the same, with mem_cache
, local_cache
and cloud_cache
.
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