Integrate the Testmo API with the Python API

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

Popular Testmo and Python Actions#

Append to Automation Run with the Testmo API

Appends test artifacts, fields or links to an existing automation run. See the documentation

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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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Append to Thread in Automation Run with the Testmo API

Appends test artifacts, fields or test results to an existing thread in an automation run. See the documentation

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Create Automation Run with the Testmo API

Creates a new automation run in a target project in preparation for adding threads and test results. See the documentation

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List Automation Runs with the Testmo API

List all automation runs for a project. See the documentation

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Overview of Testmo#

The Testmo API enables automation and integration of your testing workflows into the broader CI/CD pipeline. With Pipedream, you can use this API to trigger tests, update test cases, log results, and sync status with other project management tools. By creating custom serverless workflows on Pipedream, you can connect Testmo to various apps, manage test lifecycles, and respond to events from other services in real-time.

Connect Testmo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    testmo: {
      type: "app",
      app: "testmo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.testmo.$auth.sitename}.testmo.net/api/v1/user`,
      headers: {
        Authorization: `Bearer ${this.testmo.$auth.api_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}}