Run Python Code with Python API on New Interview Response from Async Interview API

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Trigger workflow on

New Interview Response from the Async Interview 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 Async Interview trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Interview Response trigger
1. Connect your Async Interview account
2. Configure timer
Configure the Run Python Code action
1. Connect your Python 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 Interview Response on Async Interview

Description:Emit new event when a new interview response is received.

Version:0.0.1

Key:async_interview-new-interview-response

View on GitHub

Async Interview Overview#

The Async Interview API enables automation around video interview processes. With this API, you can craft workflows on Pipedream that manipulate interview data, initiate new interviews, and respond to events within the Async Interview platform. Pipedream's serverless architecture allows you to connect with hundreds of apps to streamline recruitment workflows, analyze interview data, or enhance the candidate experience with personalized interactions.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import asyncInterview from "../../async_interview.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "async_interview-new-interview-response",
  name: "New Interview Response",
  description: "Emit new event when a new interview response is received.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    asyncInterview,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getLastId() {
      return this.db.get("lastId") || 0;
    },
    _setLastId(lastId) {
      this.db.set("lastId", lastId);
    },
    generateMeta(event) {
      return {
        id: event.id,
        summary: `New interview response with ID ${event.id}`,
        ts: Date.parse(event.datetime),
      };
    },
    async startEvent(maxResults = 0) {
      const lastId = this._getLastId();

      let data = await this.asyncInterview.listInterviewResponses();

      data = data.filter((item) => item.id > lastId).reverse();

      if (maxResults && (data.length > maxResults)) data.length = maxResults;
      if (data.length) this._setLastId(data[0].id);

      for (const item of data.reverse()) {
        this.$emit(item, this.generateMeta(item));
      }
    },
  },
  hooks: {
    async deploy() {
      await this.startEvent(25);
    },
  },
  async run() {
    await this.startEvent();
  },
  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
Async Interview	`asyncInterview`	`app`	This component uses the Async Interview app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About Async Interview#

Async Interview is the world’s most advanced video interviewing platform, offering pre-recorded interviews customized to meet any recruitment scenario.

Action#

Run Python Code on Python

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

View on GitHub

Python Overview#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

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
  },
};