TestMonitor

TestMonitor, a modern software tool for functional, user- and acceptance tests of software implementations with one goal only: Testing with a smile!

Integrate the TestMonitor API with the Python API

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

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Run Python Code with Python API on New Issue from TestMonitor API
TestMonitor + Python
 
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Run Python Code with Python API on New Test Result from TestMonitor API
TestMonitor + Python
 
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New Issue from the TestMonitor API

Emit new event when a new issue is created.

 
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New Test Result from the TestMonitor API

Emit new event when a new test result is created.

 
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Create Test Result with the TestMonitor API

Create a new test result. See the 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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Find a Project with the TestMonitor API

Retrieve a list of projects. See the docs here

 
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Find a Test Result with the TestMonitor API

Retrieve a list of test results. See the docs here

 
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Find an Issue with the TestMonitor API

Retrieve a list of issues. See the docs here

 
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Overview of TestMonitor

TestMonitor API taps into the robust testing and project management platform, allowing you to automate issue tracking and test management processes. With this API, you can create, update, and retrieve issues, manage test cases and results, and integrate testing workflows with other systems. Leveraging Pipedream's serverless execution model, you can craft workflows that trigger on specific events within TestMonitor, reflect changes in real-time across other applications, or systematically analyze and report test outcomes.

Connect TestMonitor

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo