End to end example: Log Service¶
Note
The author generated this text in part with GPT-3, OpenAI’s large-scale language-generation model. Upon generating draft language, the author reviewed, edited, and revised the language to their own liking and takes ultimate responsibility for the content of this publication.
This tutorial will explain step-by-step how to write a log service that will listen for messages on the log.>
subject and write them to a file.
Steps¶
-
First, we need to import the
startService
function from our library (lib.ts
) and theencode
function from the standard Deno library. -
Next, we create a new TextEncoder instance. This will be used to turn messages into a format that can be written to a file.
-
We then call the
startService
function to set up our service. This will return an object containing information about the message bus that we can use to subscribe to messages. -
We then subscribe to the message bus, using a wildcard subscription for any messages published on the
log.>
subject. This will allow us to receive all messages published on any topics starting withlog.
. -
We use a for-await-of loop to receive messages from the message bus. For each message, we extract the subject (split the string on
.
, then take the second element) and the message data, which we encode using theencode
function from the standard library. -
We log the message to the console and write it to a file (appending it to the end).
And that’s it! Our service is now complete and ready to be used.
Final Code¶
import { startService } from "./lib.ts";
import { encode } from "https://deno.land/std@0.186.0/encoding/hex.ts";
const encoder = new TextEncoder();
const { messageBus } = await startService();
const logMessages = messageBus.subscribe("log.>");
for await (const msg of logMessages) {
try {
const currentTime = new Date().toISOString();
const logMessage = encode(msg.data).toString();
const subject = msg.subject.split(".")[1];
console.log(`${currentTime} [${subject}] ${logMessage}`);
await Deno.writeFile(
"log.txt",
encoder.encode(`${currentTime} [${subject}] ${logMessage}\n`),
{ append: true },
);
} catch (error) {
console.error(error);
}
}