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parallel-api-calls

v0.0.2

Published

To use ParallelApiCalls as an NPM package, install it by running:

Downloads

2

Readme

Usage

To use ParallelApiCalls as an NPM package, install it by running:

npm install parallel-api-calls

Import the ParallelApiCalls class and the required dependencies:

import ParallelApiCalls from 'parallel-api-calls';
import ApiEndpoint, { ApiEndpointResponse } from "./ApiEndpoint";

Create an instance of ParallelApiCalls by passing an array of ApiEndpoint instances to the constructor:

const apiEndpoints = [/* ... */];
const parallelApiCalls = new ParallelApiCalls(apiEndpoints);

Execute parallel API calls and retrieve the transformed data:

try {
    const transformedData = await parallelApiCalls.run();
    console.log('Transformed data:', transformedData);
} catch (error) {
    console.error('Error:', error);
}

Methods

run(force: boolean = false): Promise<ApiEndpointResponse[]>

Makes multiple API requests, transforms the responses, and returns the transformed data.

Parameters: force (optional): If set to true, forces a fresh API call even if results are cached. Returns: A Promise that resolves to an array of type ApiEndpointResponse[]. getOnlyResultsData(): any[]

Retrieves only the data from the transformed results.

Returns: An array containing the transformed data.

getResults(): ApiEndpointResponse[]

Retrieves the raw results, including both data and metadata.

Returns: An array of type ApiEndpointResponse[]. Example

const apiEndpoints = [/* ... */];
const parallelApiCalls = new ParallelApiCalls(apiEndpoints);

try {
    const transformedData = await parallelApiCalls.run();
    console.log('Transformed data:', transformedData);
} catch (error) {
    console.error('Error:', error);
}

Developemnt

Use the devcontainer to develop the project. The devcontainer is a docker container with all the tools needed to develop the project. It also contains the project dependencies.

To start the devcontainer, open the command palette and select Remote-Containers: Reopen in Container.

Use yarn to install dependencies.