Debug Memory Usage with Pipedream Utils API on Job Failed (Instant) from Cloud Convert API

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Job Failed (Instant) from the Cloud Convert API

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Debug Memory Usage with the Pipedream Utils API

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Getting Started#

This integration creates a workflow with a Cloud Convert trigger and Pipedream Utils action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the Job Failed (Instant) trigger
1. Connect your Cloud Convert account
Configure the Debug Memory Usage action
1. Connect your Pipedream Utils account
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

Job Failed (Instant) on Cloud Convert

Description:Emit new event when a CloudConvert job has failed. [See the documentation](https://cloudconvert.com/api/v2/webhooks#webhooks-events)

Version:0.0.1

Key:cloud_convert-job-failed-instant

View on GitHub

Cloud Convert Overview#

The Cloud Convert API offers a robust solution for file conversion, supporting a vast array of file formats. With Pipedream, you can harness this versatility to create automated workflows that trigger file conversions, process the resulting files, and integrate with other services. By combining Cloud Convert with Pipedream's connectivity to hundreds of apps, you can craft custom automation that saves time and removes the friction from multi-format file management tasks.

Trigger Code#

import common from "../common/webhook.mjs";
import events from "../common/events.mjs";

export default {
  ...common,
  key: "cloud_convert-job-failed-instant",
  name: "Job Failed (Instant)",
  description: "Emit new event when a CloudConvert job has failed. [See the documentation](https://cloudconvert.com/api/v2/webhooks#webhooks-events)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getEvents() {
      return [
        events.JOB_FAILED,
      ];
    },
    generateMeta(resource) {
      const { job } = resource;
      const ts = Date.parse(job.created_at);
      return {
        id: `${job.id}-${ts}`,
        summary: `Job Failed: ${job.id}`,
        ts,
      };
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Cloud Convert	`app`	`app`	This component uses the Cloud Convert app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.

Trigger Authentication#

Cloud Convert uses OAuth authentication. When you connect your Cloud Convert account, Pipedream will open a popup window where you can sign into Cloud Convert and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Cloud Convert API.

Pipedream requests the following authorization scopes when you connect your account:

user.readuser.writetask.readtask.writewebhook.readwebhook.write

About Cloud Convert#

File converter service

Action#

Debug Memory Usage on Pipedream Utils

Description:Get memory usage statistics for the current Pipedream workflow.

Version:0.0.1

Key:pipedream_utils-debug-memory-usage

View on GitHub

Pipedream Utils Overview#

The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.

Action Code#

import pipedream_utils from "../../pipedream_utils.app.mjs";
import v8 from "v8";

export default {
  name: "Debug Memory Usage",
  description: "Get memory usage statistics for the current Pipedream workflow.",
  key: "pipedream_utils-debug-memory-usage",
  version: "0.0.1",
  type: "action",
  props: {
    pipedream_utils,
  },
  async run({ $ }) {
    function formatBytes(bytes) {
      return `${(bytes / 1024 / 1024).toFixed(2)} MB`;
    }

    const stats = v8.getHeapStatistics();

    $.export("$summary", "Successfully exported memory usage statistics");

    return {
      totalHeapSize: formatBytes(stats.total_heap_size),
      totalHeapSizeExecutable: formatBytes(stats.total_heap_size_executable),
      totalPhysicalSize: formatBytes(stats.total_physical_size),
      totalAvailableSize: formatBytes(stats.total_available_size),
      usedHeapSize: formatBytes(stats.used_heap_size),
      heapSizeLimit: formatBytes(stats.heap_size_limit),
    };
  },
};