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FastifyJs SDK Guide

To integrate your FastifyJs application with APItoolkit, you need to use this SDK to monitor incoming traffic, aggregate the requests, and then send them to APItoolkit's servers. Kindly follow this guide to get started and learn about all the supported features of APItoolkit's FastifyJs SDK.


Prerequisites

Ensure you have already completed the first three steps of the onboarding guide.

Installation

Kindly run the command below to install the SDK:

npm install apitoolkit-fastify

# Or

yarn add apitoolkit-fastify

Configuration

Next, initialize APItoolkit in your application's entry point (e.g., index.js), like so:

import Fastify from "fastify";
import APIToolkit from "apitoolkit-fastify";

const fastify = Fastify();

// Initialize the APItoolkit client
const apitoolkitClient = APIToolkit.NewClient({
  fastify,
  apiKey: "{ENTER_YOUR_API_KEY_HERE}",
  debug: false,
  tags: ["environment: production", "region: us-east-1"],
  serviceVersion: "v2.0",
});
apitoolkitClient.init();
// END Initialize the APItoolkit client

fastify.get("/hello", function (request, reply) {
  reply.send({ hello: "world" });
});

fastify.listen({ port: 3000 }, function (err, address) {
  if (err) {
    fastify.log.error(err);
    process.exit(1);
  }
});

In the configuration above, only the apiKey option is required, but you can add the following optional fields:

OptionDescription
debugSet to true to enable debug mode.
tagsA list of defined tags for your services (used for grouping and filtering data on the dashboard).
serviceVersionA defined string version of your application (used for further debugging on the dashboard).
redactHeadersA list of HTTP header keys to redact.
redactResponseBodyA list of JSONPaths from the request body to redact.
redactRequestBodyA list of JSONPaths from the response body to redact.

Tip

  • The fastify instance is required to configure the SDK.
  • The {ENTER_YOUR_API_KEY_HERE} demo string should be replaced with the API key generated from the APItoolkit dashboard.

Redacting Sensitive Data

If you have fields that are sensitive and should not be sent to APItoolkit servers, you can mark those fields to be redacted (the fields will never leave your servers).

To mark a field for redacting via this SDK, you need to add some additional arguments to the apitoolkitClient configuration options with paths to the fields that should be redacted. There are three arguments you can provide to configure what gets redacted, namely:

  1. redactHeaders: A list of HTTP header keys.
  2. redactRequestBody: A list of JSONPaths from the request body.
  3. redactResponseBody: A list of JSONPaths from the response body.


JSONPath is a query language used to select and extract data from JSON files. For example, given the following sample user data JSON object:

{
  "user": {
    "name": "John Martha",
    "email": "[email protected]",
    "addresses": [
      {
        "street": "123 Main St",
        "city": "Anytown",
        "state": "CA",
        "zip": "12345"
      },
      {
        "street": "123 Main St",
        "city": "Anytown",
        "state": "CA",
        "zip": "12345"
      }
    ],
    "credit_card": {
      "number": "4111111111111111",
      "expiration": "12/28",
      "cvv": "123"
    }
  }
}

Examples of valid JSONPath expressions would be:

JSONPathDescription
$.user.addresses[*].zipIn this case, APItoolkit will replace the zip field in all the objects of the addresses list inside the user object with the string [CLIENT_REDACTED].
$.user.credit_cardIn this case, APItoolkit will replace the entire credit_card object inside the user object with the string [CLIENT_REDACTED].

Tip

To learn more about JSONPaths, please take a look at the official docs or use this JSONPath Evaluator to validate your JSONPath expressions.

You can also use our JSON Redaction Tool to preview what the final data sent from your API to APItoolkit will look like, after redacting any given JSON object.


Here's an example of what the configuration would look like with redacted fields:

import Fastify from "fastify";
import APIToolkit from "apitoolkit-fastify";

const fastify = Fastify();

const apiKey = "{ENTER_YOUR_API_KEY_HERE}";
const redactHeaders = ["content-type", "Authorization", "HOST"];
const redactRequestBody = ["$.user.email", "$.user.addresses"];
const redactResponseBody = ["$.users[*].email", "$.users[*].credit_card"];

const apitoolkitClient = APIToolkit.NewClient({
  fastify,
  apiKey,
  redactHeaders,
  redactRequestBody,
  redactResponseBody,
});
apitoolkitClient.init();

fastify.listen({ port: 3000 }, function (err, address) {
  if (err) {
    fastify.log.error(err);
    process.exit(1);
  }
});

Error Reporting

APItoolkit automatically detects different unhandled errors, API issues, and anomalies but you can report and track specific errors at different parts of your application. This will help you associate more detail and context from your backend with any failing customer request.

To manually report specific errors at different parts of your application (within the context of a web request handler), use the ReportError() function, passing in the error argument, like so:

import Fastify from "fastify";
import axios from "axios";
import APIToolkit, { ReportError } from "apitoolkit-fastify";

const fastify = Fastify();

const apitoolkitClient = APIToolkit.NewClient({
  fastify,
  apiKey: "{ENTER_YOUR_API_KEY_HERE}",
});
apitoolkitClient.init();

fastify.get("/", async (request, reply) => {
  try {
    const response = await observeAxios(axios).get(
      baseURL + "/non-existing-endpoint"
    );
  } catch (error) {
    // Report the error to APItoolkit
    ReportError(error);
  }
});

Monitoring Outgoing Requests

Outgoing requests are external API calls you make from your API. By default, APItoolkit monitors all requests users make from your application and they will all appear in the API Log Explorer page. However, you can separate outgoing requests from others and explore them in the Outgoing Integrations page, alongside the incoming request that triggered them.

To enable global monitoring of all axios requests (for only Adonis v6), add monitorAxios to the defineConfig configuration options in the config/apitoolkit.js|ts file, like so:

import Fastify from "fastify";
import axios from "axios";
import APIToolkit from "apitoolkit-fastify";

const fastify = Fastify();

const apitoolkitClient = APIToolkit.NewClient({
  fastify,
  apiKey: "{ENTER_YOUR_API_KEY_HERE}",
  monitorAxios: axios,
});
apitoolkitClient.init();

fastify.get("/", async (request, reply) => {
  // This axios request gets monitored
  const res = await axios.get("https://jsonplaceholder.typicode.com/todos/1");
  return res.data;
});

To monitor a specific axios request within the context of a web request handler (for both Adonis v6 and v5), wrap your axios instance with the observeAxios() function, like so:

import Fastify from "fastify";
import axios from "axios";
import APIToolkit, { observeAxios } from "apitoolkit-fastify";

const fastify = Fastify();

const apitoolkitClient = APIToolkit.NewClient({
  fastify,
  apiKey: "{ENTER_YOUR_API_KEY_HERE}",
});
apitoolkitClient.init();

fastify.get("/", async (request, reply) => {
  const res = await observeAxios(axios).get(baseURL + "/users/user1234");
  return res.data;
});

The observeAxios function above accepts a required axios instance and the following optional arguments:

OptionDescription
pathWildCardThe url_path string for URLs with path parameters.
redactHeadersA list of HTTP header keys to redact.
redactResponseBodyA list of JSONPaths from the request body to redact.
redactRequestBodyA list of JSONPaths from the response body to redact.


Explore the FastifyJS SDK