Send any HTTP Request with HTTP / Webhook API on Employee Terminated from Drata API

Pipedream makes it easy to connect APIs for HTTP / Webhook, Drata and 2,400+ other apps remarkably fast.

Trigger workflow on

Employee Terminated from the Drata API

Next, do this

Send any HTTP Request with the HTTP / Webhook API

No credit card required

▶

Watch us build a workflow

8 min

Watch now ➜

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

Getting Started#

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

Select this integration
Configure the Employee Terminated trigger
1. Connect your Drata account
2. Configure timer
Configure the Send any HTTP Request action
1. Connect your HTTP / Webhook account
2. Configure HTTP Request Configuration
3. Optional- Configure Include Response Headers
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#

Employee Terminated on Drata

Description:Emit a new event when an employee is terminated. [See the documentation](https://developers.drata.com/docs/openapi/reference/operation/PersonnelPublicController_listPersonnel/).

Version:0.0.3

Key:drata-terminated-employee

View on GitHub

Drata Overview#

Drata is a compliance automation platform. Drata’s platform is built by compliance and security experts so you don’t have to be one. With 75+ native integrations, you can easily connect your tech stack and automate evidence collection and testing.

Pipedream customers get 25% off Drata, with implementation fees waived. Visit https://drata.com/partner/pipedream for more information.

Trigger Code#

import drata from "../../drata.app.mjs";
import constants from "../../common/constants.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

const docsLink = "https://developers.drata.com/docs/openapi/reference/operation/PersonnelPublicController_listPersonnel/";

export default {
  key: "drata-terminated-employee",
  name: "Employee Terminated",
  description: `Emit a new event when an employee is terminated. [See the documentation](${docsLink}).`,
  type: "source",
  version: "0.0.3",
  dedupe: "unique",
  props: {
    drata,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  hooks: {
    async deploy() {
      const { data: lastCurrentEmployees } = await this.drata.listPersonnel({
        paginate: true,
        params: {
          sort: constants.SORT_CRITERIA.START_DATE, // this endpoint does not support sorting by creation date
          employmentStatuses: [
            "CURRENT_EMPLOYEE",
            "CURRENT_CONTRACTOR",
          ],
        },
      });

      this._setLastCurrentEmployees(lastCurrentEmployees.map((personnel) => personnel.id));

      const response = await this.drata.listPersonnel({
        params: {
          limit: constants.DEPLOY_LIMIT,
          sort: constants.SORT_CRITERIA.SEPARATION_DATE,
          sortDir: "DESC",
          employmentStatuses: [
            "FORMER_EMPLOYEE",
            "FORMER_CONTRACTOR",
            "SPECIAL_FORMER_EMPLOYEE",
            "SPECIAL_FORMER_CONTRACTOR",
          ],
        },
      });

      for (const personnel of response.data.reverse()) {
        this.$emit(personnel, {
          id: personnel.id,
          summary: `Historical terminated employee added event: ${this.drata.getPersonnelName(personnel)}`,
          ts: personnel.updatedAt,
        });
      }
    },
  },
  methods: {
    _getLastCurrentEmployees() {
      return new Set(this.db.get("lastCurrentEmployees"));
    },
    _setLastCurrentEmployees(lastCurrentEmployees) {
      this.db.set("lastCurrentEmployees", Array.from(lastCurrentEmployees));
    },
    getDifference(setA, setB) {
      return new Set(
        Array.from(setA).filter((element) => !setB.has(element)),
      );
    },
    async getTerminatedEmployees(terminatedEmployees) {
      if (!Array.isArray(terminatedEmployees)) {
        terminatedEmployees = Array.from(terminatedEmployees);
      }
      const employees = await Promise.all(
        terminatedEmployees.map((id) => this.drata.getPersonnelById({
          id,
        })),
      );
      return employees.filter(({ employmentStatus }) => employmentStatus.includes("FORMER"));
    },
    addNewEmployees(newEmployees, lastCurrentEmployees) {
      newEmployees.forEach((id) => lastCurrentEmployees.add(id));
    },
  },
  async run() {
    const lastCurrentEmployees = this._getLastCurrentEmployees();

    const response = await this.drata.listPersonnel({
      paginate: true,
      params: {
        limit: constants.PAGINATION_LIMIT,
        sort: constants.SORT_CRITERIA.START_DATE,
        employmentStatuses: [
          "CURRENT_EMPLOYEE",
          "CURRENT_CONTRACTOR",
        ],
      },
    });

    const currentEmployees = new Set(response.data.map((personnel) => personnel.id));
    const terminatedEmployees = this.getDifference(lastCurrentEmployees, currentEmployees);
    const newEmployees = this.getDifference(currentEmployees, lastCurrentEmployees);

    const terminated = await this.getTerminatedEmployees(Array.from(terminatedEmployees));
    for (const employee of terminated) {
      lastCurrentEmployees.delete(employee.id);
      this.$emit(employee, {
        id: employee.id,
        summary: `Employee terminated: ${this.drata.getPersonnelName(employee)}`,
        ts: employee.updatedAt,
      });
    }

    this.addNewEmployees(newEmployees, lastCurrentEmployees);
    this._setLastCurrentEmployees(lastCurrentEmployees);
  },
};

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
Drata	`drata`	`app`	This component uses the Drata app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

Make sure you're logged into the Drata UI, then see these docs to create a Drata API key. Enter it below.

About Drata#

Drata automates your compliance journey from start to audit-ready and beyond and provides support from the security and compliance experts who built it.

Action#

Send any HTTP Request on HTTP / Webhook

Description:Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.

Version:1.1.1

Key:http-custom-request

View on GitHub

HTTP / Webhook Overview#

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

$A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.$

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

Action Code#

import http from "../../http.app.mjs";

export default {
  key: "http-custom-request",
  name: "Send any HTTP Request",
  description: "Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.",
  type: "action",
  version: "1.1.1",
  props: {
    http,
    httpRequest: {
      propDefinition: [
        http,
        "httpRequest",
      ],
    },
    includeHeaders: {
      type: "boolean",
      label: "Include Response Headers",
      description: "Optionally export the full response headers",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.httpRequest.execute();

    if (this.includeHeaders) {
      $.export("headers", response.headers);
    }

    return response;
  },
};

Action Configuration#

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

Label	Prop	Type	Description
HTTP / Webhook	`http`	`app`	This component uses the HTTP / Webhook app.
HTTP Request Configuration	`httpRequest`	`http_request`
Include Response Headers	`includeHeaders`	`boolean`	Optionally export the full response headers