rest data provider or filters

rest data provider or filters
2 Replies
kapa.ai
kapa.ai4w ago
Hi @Joe Gaffney. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave: ---------------------- To work with REST data providers and handle filters in Refine, you can follow these steps: Setting Up a REST Data Provider Refine provides a built-in REST data provider that you can use to communicate with RESTful APIs. Here's how you can set it up: 1. Install the Simple REST Data Provider: You can install the @refinedev/simple-rest package using npm, pnpm, or yarn.
npm i @refinedev/simple-rest

npm i @refinedev/simple-rest

pnpm add @refinedev/simple-rest

pnpm add @refinedev/simple-rest

yarn add @refinedev/simple-rest

yarn add @refinedev/simple-rest

2. Configure the Data Provider: Import and configure the data provider in your application. You need to pass the base URL of your API to the data provider.
import { Refine } from "@refinedev/core";
import dataProvider from "@refinedev/simple-rest";

const App = () => {
return (
<Refine
dataProvider={dataProvider("<https://api.fake-rest.refine.dev">)}
/* ... */
/>
);
};

export default App;

import { Refine } from "@refinedev/core";
import dataProvider from "@refinedev/simple-rest";

const App = () => {
return (
<Refine
dataProvider={dataProvider("<https://api.fake-rest.refine.dev">)}
/* ... */
/>
);
};

export default App;

Source (https://refine.dev/docs/data/packages/simple-rest/) Handling Filters in a Data Provider To handle filters in a data provider, you need to modify the request sent to your API based on the filters provided. Here’s an example of how you can handle filters in the getList method of a data provider:
import { DataProvider } from "@refinedev/core";
const dataProvider = (): DataProvider => ({
getList: async ({ resource, pagination, filters, sorters }) => {
if (filters) {
filters.map((filter) => {
if (
filter.operator !== "or" &&
filter.operator !== "and" &&
"field" in filter
) {
// Handle your logical filters here
// console.log(typeof filter); // LogicalFilter
} else {
// Handle your conditional filters here
// console.log(typeof filter); // ConditionalFilter
}
});
}
},
});

export default dataProvider;
import { DataProvider } from "@refinedev/core";
const dataProvider = (): DataProvider => ({
getList: async ({ resource, pagination, filters, sorters }) => {
if (filters) {
filters.map((filter) => {
if (
filter.operator !== "or" &&
filter.operator !== "and" &&
"field" in filter
) {
// Handle your logical filters here
// console.log(typeof filter); // LogicalFilter
} else {
// Handle your conditional filters here
// console.log(typeof filter); // ConditionalFilter
}
});
}
},
});

export default dataProvider;
Source (https://refine.dev/docs/advanced-tutorials/data-provider/handling-filters/#handle-filters-in-a-data-provider) Example Usage with useList Hook To fetch data with filters, sorters, and pagination, you can use the useList hook. Here’s an example:
import { useList } from "@refinedev/core";

const { data, isLoading, error } = useList({
resource: "products",
filters: [
{
field: "material",
operator: "eq",
value: "wooden",
},
],
sorters: [
{
field: "id",
order: "desc",
},
],
pagination: {
current: 1,
pageSize: 5,
},
});
import { useList } from "@refinedev/core";

const { data, isLoading, error } = useList({
resource: "products",
filters: [
{
field: "material",
operator: "eq",
value: "wooden",
},
],
sorters: [
{
field: "id",
order: "desc",
},
],
pagination: {
current: 1,
pageSize: 5,
},
});
Source (https://refine.dev/docs/guides-concepts/data-fetching/#multiple-data-providers) By following these steps, you can set up a REST data provider and handle filters effectively in your Refine application. For more detailed information, you can refer to the Refine documentation (https://refine.dev/docs/core/providers/data-provider/). ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------
kapa.ai
kapa.ai4w ago
<@422289470487003153> kapa.ai is still learning and improving, please let us know how it did by reacting below