← Drata + Python integrations

Run Python Code with Python API on Employee Terminated from Drata API

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Employee Terminated from the Drata API
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Run Python Code with the Python API
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Getting Started

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

  1. Select this integration
  2. Configure the Employee Terminated trigger
    1. Connect your Drata account
    2. Configure timer
  3. Configure the Run Python Code action
    1. Connect your Python account
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

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

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.
LabelPropTypeDescription
DratadrataappThis component uses the Drata app.
N/Adb$.service.dbThis 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

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.
Version:0.0.2
Key:python-run-python-code

Python Overview

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Action Code

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

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};

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.

LabelPropTypeDescription
PythonpythonappThis component uses the Python app.

Action Authentication

The Python API does not require authentication.

About Python

Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.

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