Integrate the LambdaTest API with the Python API

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

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Popular LambdaTest and Python Actions#

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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Overview of LambdaTest#

LambdaTest API on Pipedream allows developers to integrate and automate browser testing directly within their development workflows. Using this API, you can create, manage, and execute Selenium, Cypress, and other tests on a scalable cloud grid, facilitating continuous testing with minimal setup. This integration is especially beneficial for continuous integration/continuous deployment (CI/CD) pipelines, enabling teams to ensure that applications perform as expected across multiple browser environments before deployment.

Connect LambdaTest#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lambdatest: {
      type: "app",
      app: "lambdatest",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lambdatest.com/automation/api/v1/projects`,
      headers: {
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.lambdatest.$auth.username}`,
        password: `${this.lambdatest.$auth.access_key}`,
      },
    })
  },
})

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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