Run Python Code with Python API on New Task Created from Nifty API

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Trigger workflow on

New Task Created from the Nifty 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 Nifty 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 Task Created trigger
1. Connect your Nifty account
2. Select a App Id
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 Task Created on Nifty

Description:Emit new event when a task is created in a project.

Version:0.0.1

Key:nifty-new-task-created

View on GitHub

Nifty Overview#

The Nifty API allows for streamlined project management, facilitating task automation and data synchronization within Pipedream. By integrating with the Nifty API, you can automate workflows involving project tracking, task assignments, and progress monitoring, effectively reducing manual overhead. On Pipedream, the API's endpoints can trigger actions, respond to changes, and update records across different services, bringing cohesion to your project management ecosystem.

Trigger Code#

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

export default {
  ...common,
  key: "nifty-new-task-created",
  name: "New Task Created",
  description: "Emit new event when a task is created in a project.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getEvent() {
      return [
        "taskCreated",
      ];
    },
    getSummary({ data }) {
      return `New task created with Id: ${data.id}`;
    },
  },
  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
Nifty	`nifty`	`app`	This component uses the Nifty 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.
App Id	`appId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

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

filedocmessageprojecttaskmemberlabelmilestonesubtasktask_groupsubteam

About Nifty#

Delivering the future of remote collaboration. Manage projects, not tools.

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
  },
};