amberflo-metering-typescript

Amberflo is the simplest way to integrate metering into your application.

This is the official TypeScript (and JavaScript) client that wraps the Amberflo REST API.

✔️ Features

• Add and update customers
• Assign and update product plans to customers
• List invoices of a customer
• Get a new customer portal session for a customer
• Add and list prepaid orders to customers
• Send meter events in asynchronous batches for high throughput (with optional flush on demand)
• Query usage

🚀 Quick Start

1. Sign up for free and get an API key.

2. Install the SDK

npm install --save amberflo-metering-typescript

3. Create a customer

import { CustomerDetailsClient, CustomerDetailsApiPayload } from "amberflo-metering-typescript";

// 1. Define some properties for this customer
const customerId = '123';
const customerName = 'Dell';
const traits = new Map<string, string>();
traits.set("customerType", "Tech");

// 2. Initialize metering client
const client = new CustomerDetailsClient(apiKey, debug);

// 3. Create or update the customer
const payload = new CustomerDetailsApiPayload(customerId, customerName, traits);
const createInStripe = true;
const customer = await client.add(payload, createInStripe);

4. Ingest meter events

import { IngestOptions, Metering, FlushMode } from "amberflo-metering-typescript";

// 1. Instantiate metering client
const ingestOptions = new IngestOptions();
ingestOptions.flushMode = FlushMode.auto;
ingestOptions.batchSize = 20;
ingestOptions.frequencyMillis = 3000;

const metering = new Metering('my-api-key', false, ingestOptions);

// 2. Initialize and start the ingestion client
metering.start();

// Optional: Define dimesions for your meters
const dimensions = new Map<string, string>();
dimensions.set("region", "Midwest");
dimensions.set("customerType", "Tech");

// 3. Queue meter messages for ingestion.
metering.meter("TypeScript-ApiCalls", j + 1, Date.now(), "123", dimensions);

// 4. Perform graceful shutdown, flush, stop the timer
await metering.shutdown();

5. Query usage

import {
    AggregationInterval, AggregationType, TimeRange, UsageApiPayload, UsageClient,
} from "amberflo-metering-typescript";

// 1. Initialize the usage client
const client = new UsageClient(apiKey, debug);

// 2. Define a time range
const startTimeInSeconds = Math.ceil((new Date().getTime() - 24 * 60 * 60 * 1000) / 1000);  // two days ago
const timeRange = new TimeRange(startTimeInSeconds);

// 3. Get overall usage report of a meter
const payload = new UsageApiPayload(
    'TypeScript-ApiCalls',
    AggregationType.sum,
    AggregationInterval.day,
    timeRange,
);
const result = await client.getUsage(payload);

With JavaScript

This library can also be used directly with JavaScript. For instance:

For instance, suppose you have the index.js bellow. You can run it with node index.js.

'use strict';

const apiKey = 'my-amberflo-api-key';

const { CustomerDetailsClient } = require('amberflo-metering-typescript');

async function main() {
  const client = new CustomerDetailsClient(apiKey);
  const customers = await client.list();
  console.log(customers);
}

main();

Then you can run it with: node index.js.

⚡ High throughput ingestion

Amberflo.io libraries are built to support high throughput environments. That means you can safely send hundreds of meter records per second. For example, you can chose to deploy it on a web server that is serving hundreds of requests per second.

However, every call does not result in a HTTP request, but is queued in memory instead. Messages are batched and flushed in the background, allowing for much faster operation. The size of batch and rate of flush can be customized.

Automatic flush: When operating with auto flush mode, which is the default, the messages will accumulate in the queue until either the batch size is reached or some period of time elapses. When either happens, the batch is sent.

Flush on demand: For example, at the end of your program, you'll want to flush to make sure there's nothing left in the queue. Calling this method will block the calling thread until there are no messages left in the queue. So, you'll want to use it as part of your cleanup scripts and avoid using it as part of the request lifecycle.

📖 Documentation

General documentation on how to use Amberflo is available at Product Walkthrough.

The full REST API documentation is available at API Reference.

📜 Samples

Code samples covering different scenarios are available in the samples folder.

📑 Reference

API Clients

Ingest

import { IngestOptions, Metering, FlushMode } from "amberflo-metering-typescript";

Customer

import { CustomerDetailsClient, CustomerDetailsApiPayload } from "amberflo-metering-typescript";

Usage

import {
    AggregationInterval,
    AggregationType,
    AllUsageApiPayload,
    AllUsageGroupBy,
    TimeRange,
    UsageApiPayload,
    UsageClient,
} from "amberflo-metering-typescript";

Customer Portal Session

import {
    CustomerPortalSessionClient,
    CustomerPortalSessionApiPayload
} from "amberflo-metering-typescript"

Customer Prepaid Order

import {
    CustomerPrepaidOrderClient,
    CustomerPrepaidOrderApiPayload,
    BillingPeriod,
    BillingPeriodInterval,
} from "amberflo-metering-typescript";

Customer Product Invoice

import {
    AllInvoicesQuery,
    LatestInvoiceQuery,
    InvoiceQuery,
    CustomerProductInvoiceClient,
} from "amberflo-metering-typescript";

Customer Product Plan

import {
    CustomerProductPlanClient,
    CustomerProductPlanApiPayload,
} from "amberflo-metering-typescript";

Request Retry

All clients accept a retry parameter to enable retrying idempotent requests on 5xx or network failures. This uses the default configuration of axios-retry.

Further customization of retry logic is possible by manually patching the client.axiosInstance attribute of a client, as described in the axios-retry documentation.