Debug Memory Usage with Pipedream Utils API on New Job Opening Added from PredictLeads API

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New Job Opening Added from the PredictLeads 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 PredictLeads 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 New Job Opening Added trigger
1. Connect your PredictLeads account
2. Configure timer
3. Configure Domain
4. Optional- Configure Active Only
5. Optional- Configure With Description Only
6. Optional- Configure With Location Only
7. Optional- Select one or more Categories
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#

New Job Opening Added on PredictLeads

Description:Emit new event for each new job opening for a specific company. [See the documentation](https://docs.predictleads.com/v3/api_endpoints/job_openings_dataset/retrieve_job_openings_from_specific_company)

Version:0.0.1

Key:predictleads-new-job-opening

View on GitHub

Trigger Code#

import common from "../common/polling.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "predictleads-new-job-opening",
  name: "New Job Opening Added",
  description: "Emit new event for each new job opening for a specific company. [See the documentation](https://docs.predictleads.com/v3/api_endpoints/job_openings_dataset/retrieve_job_openings_from_specific_company)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    domain: {
      description: "The domain of the company to retrieve job openings for (e.g., `google.com`).",
      propDefinition: [
        common.props.app,
        "domain",
      ],
    },
    activeOnly: {
      type: "boolean",
      label: "Active Only",
      description: "Set to `true` to receive Job Openings that are not closed",
      optional: true,
    },
    withDescriptionOnly: {
      type: "boolean",
      label: "With Description Only",
      description: "Set to `true` to only return Job Openings that have a description.",
      optional: true,
    },
    withLocationOnly: {
      type: "boolean",
      label: "With Location Only",
      description: "Set to `true` to only return Job Openings that have a location.",
      optional: true,
    },
    categories: {
      type: "string[]",
      label: "Categories",
      description: "Filter job openings by specific categories.",
      optional: true,
      options: [
        "administration",
        "consulting",
        "data_analysis",
        "design",
        "directors",
        "education",
        "engineering",
        "finance",
        "healthcare_services",
        "human_resources",
        "information_technology",
        "internship",
        "legal",
        "management",
        "marketing",
        "military_and_protective_services",
        "operations",
        "purchasing",
        "product_management",
        "quality_assurance",
        "real_estate",
        "research",
        "sales",
        "software_development",
        "support",
        "manual_work",
        "food",
      ],
    },
  },
  methods: {
    ...common.methods,
    getDateField() {
      return "last_seen_at";
    },
    getResourcesFn() {
      return this.app.retrieveJobOpenings;
    },
    getResourcesFnArgs() {
      const {
        domain,
        activeOnly,
        withDescriptionOnly,
        withLocationOnly,
        categories,
      } = this;
      return {
        domain,
        params: {
          active_only: activeOnly,
          with_description_only: withDescriptionOnly,
          with_location_only: withLocationOnly,
          categories: categories?.join(","),
        },
      };
    },
    generateMeta(resource) {
      return {
        id: resource.id,
        summary: `New Job Opening: ${resource.attributes.title}`,
        ts: Date.parse(resource.attributes.first_seen_at),
      };
    },
  },
  sampleEmit,
};

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
PredictLeads	`app`	`app`	This component uses the PredictLeads app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Domain	`domain`	`string`	The domain of the company to retrieve job openings for (e.g., `google.com`).
Active Only	`activeOnly`	`boolean`	Set to `true` to receive Job Openings that are not closed
With Description Only	`withDescriptionOnly`	`boolean`	Set to `true` to only return Job Openings that have a description.
With Location Only	`withLocationOnly`	`boolean`	Set to `true` to only return Job Openings that have a location.
Categories	`categories`	`string[]`	Select a value from the drop down menu:`administrationconsultingdata_analysisdesigndirectorseducationengineeringfinancehealthcare_serviceshuman_resourcesinformation_technologyinternshiplegalmanagementmarketingmilitary_and_protective_servicesoperationspurchasingproduct_managementquality_assurancereal_estateresearchsalessoftware_developmentsupportmanual_workfood`

Trigger Authentication#

PredictLeads uses API keys for authentication. When you connect your PredictLeads account, Pipedream securely stores the keys so you can easily authenticate to PredictLeads APIs in both code and no-code steps.

About PredictLeads#

Company Intelligence Data

Action#

Debug Memory Usage on Pipedream Utils

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

Version:0.0.2

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: "0.0.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  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),
    };
  },
};