Offline Storage
RADFish app users can be out at sea for an extended period of time. They may not have a reliable internet connection. Offline storage lets users to continue using the app to create and manage data while offline.
Storage Models
The @nmfs-radfish/radfish
package provides two storage methods available LocalStorageMethod
and IndexedDBMethod
.
LocalStorage
In order to save to LocalStorage, we must provide a unique key that will used to store all of the application data.
import { LocalStorageMethod } from '@nmfs-radfish/radfish';
new LocalStorageMethod(
"survey-app-storage"
);
IndexedDB
When using IndexedDB, we also need to provide a schema version and model structures. These are used to manage future data migrations.
import { IndexedDBMethod } from '@nmfs-radfish/radfish';
new IndexedDBMethod(
"survey-app-storage",
"1.0.0",
{
species: "id, name, scientificName",
catches: "id, speciesId, numberOfFish, weight"
}
);
React Usage
The @nmfs-radfish/react-radfish
package exposes the OfflineStorageWrapper
component. This creates a storage model available to that React context.
useOfflineStorage
Hooks API
You can then use the useOfflineStorage
hook to interact directly with the storage model.
The hook returns an object with these CRUD methods:
createOfflineData
creates a new entry.findOfflineData
reads data entries.updateOfflineData
updates data entries.deleteOfflineData
deletes data entries.
createOfflineData
Creates a new data entry in the storage. Entries will have a unique uuid
(String
) property to be used for future lookups.
Parameter | Description |
---|---|
tableName | The table the data will be stored in. |
data | The data object to create. |
Returns: A Promise
that resolves of the uuid
of the created entry.
findOfflineData
Finds data in the storage based on the given criteria, returns all data if not criteria parameter is passed.
Parameter | Description |
---|---|
tableName | The table to be searched. |
criteria | The criteria object to use for finding data, eg {uuid: 123} . |
Returns: A Promise
that resolves to an array of objects:
updateOfflineData
Updates data in the storage with the matching criteria
.
Parameter | Description |
---|---|
tableName | The table to be searched. |
criteria | The criteria object to use for finding data, eg {uuid: 123} . |
Returns: A Promise
that resolves to an array of uuid
of the updated entries.
deleteOfflineData
Deletes data in the storage.
Parameter | Description |
---|---|
tableName | The table to be searched. |
criteria | The criteria object to use for finding data, eg {uuid: 123} . |
Returns: A Promise
that resolves to a boolean value of whether the delete operation succeeded without errors.
Usage
Example usage when using IndexedDB:
App.jsx
import React, { useEffect, useState } from "react";
import { Table } from "@nmfs-radfish/react-radfish";
import { useOfflineStorage, OfflineStorageWrapper } from "@nmfs-radfish/react-radfish";
const offlineStorageConfig = {
type: "indexedDB",
name: import.meta.env.VITE_INDEXED_DB_NAME,
version: import.meta.env.VITE_INDEXED_DB_VERSION,
stores: {
catches: "++id, numberOfFish"
},
};
const Catches = () => {
const { createOfflineData, findOfflineData } = useOfflineStorage();
let [allCatches, setCatches] = useState([]);
const fetchCatches = async () => {
const catches = await findOfflineData("catches");
setCatches(catches);
};
const createNewCatch = async () => {
await createOfflineData("catches", {
numberOfFish: Math.floor(Math.random() * 10) + 1,
});
await fetchCatches();
};
useEffect(() => {
fetchCatches();
}, []);
return (
<div>
<button onClick={createNewCatch}>Generate new catch</button>
<Table
data={allCatches}
columns={[
{ key: "id", label: "ID" },
{ key: "numberOfFish", label: "Count", sortable: true },
]}
/>
</div>
);
};
const App = () => {
return (
<OfflineStorageWrapper config={offlineStorageConfig}>
<Catches />
</OfflineStorageWrapper>
);
};
export default App;
Interfacing with backend services
You are free to use any network library of your choice to handle HTTP requests (GET, POST, PUT, DELETE). For your convenience, we’ve provided examples using the native fetch API. You can adapt these examples to the library that best fits your needs.
Refer to the Integrating with Backend Services documentation for examples.