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async-storage-repl
Advanced tools
AsyncStorageRepl provides you to manipurate ReactNative AsyncStorage API on your node REPL.
AsyncStorageRepl provides you to access remote ReactNative application's AsyncStorage from your node REPL.
npm i async-storage-repl -D
import AsyncStorageREPL from 'async-storage-repl';
AsyncStorageREPL().connect();
./node_modules/.bin/async-storage-repl
$ ./node_modules/.bin/async-storage-repl
> RNAsyncStorage.getItem('item1')
null
> RNAsyncStorage.setItem('item1', 'nice value!')
null
> RNAsyncStorage.getItem('item1')
'nice value!'
> RNAsyncStorage.getAllKeys()
[ 'reduxPersist:timeline',
'item1',
'reduxPersist:auth',
'reduxPersist:nav' ]
AsyncStorageREPL provides RNAsyncStorage on your node REPL as a global object. You can access AsyncStorage's all APIs via this object.
AsyncStorageREPL's methods args are guaranteed type-safe by flow-runtime.
> RNAsyncStorage.getItem(1)
RuntimeTypeError: key must be a string
Expected: string
Actual: number
You can save & load RN Application AsyncStorage data.
dump()
provides you getting dump.
load(string[][])
provides you loading dump.
> const data = RNAsyncStorage.dump()
undefined
> data
[ [ 'comments', '["foo","bar","baz"]' ] ]
> fs.writeSync('./dump1.txt', JSON.stringify(data))
> const data = JSON.parse(fs.readSync('./dump1.txt'))
> RNAsyncStorage.load(data)
null
AsyncStorageREPL() accepts an object with a host and port key. Port key must be matched REPL side. You don't need specify a host in case of running on a simulator. but in case of runnning on a real device, specify your computer host.
AsyncStorageREPL({ host: 'localhost', port: 8080 }) // default
.connect();
You can specify portNo --port option.
async-storage-repl --port 8080
FAQs
AsyncStorageRepl provides you to manipurate ReactNative AsyncStorage API on your node REPL.
We found that async-storage-repl demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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