Integrate the PractiTest API with the Python API

Setup the PractiTest API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate PractiTest and Python remarkably fast. Free for developers.

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Popular Ways to Connect PractiTest with Python#

Run Python Code with Python API on Issue Created from PractiTest API

PractiTest + Python

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Run Python Code with Python API on Test Created from PractiTest API

PractiTest + Python

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Popular PractiTest and Python Triggers#

Issue Created from the PractiTest API

Emit new event for each new issue See docs here

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Test Created from the PractiTest API

Emit new event for each new test See docs here

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Popular PractiTest and Python Actions#

Create Requirement with the PractiTest API

Create a requirement See docs here

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Create Run with the PractiTest API

Create a run See docs here

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Overview of PractiTest#

PractiTest is a test management tool that facilitates the organization, tracking, and planning of software testing processes by integrating with Pipedream's automation capabilities. With the PractiTest API, you're able to manipulate test cases, sets, runs, and report on results programmatically. This powerful combination opens the door to automated workflows that enhance testing processes, improve bug tracking, and provide real-time feedback to your team.

Connect PractiTest#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    practitest: {
      type: "app",
      app: "practitest",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.practitest.com/api/v2/users.json`,
      auth: {
        username: `any`,
        password: `${this.practitest.$auth.api_token}`,
      },
    })
  },
})

Overview of Python#

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:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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