Tricentis qTest

Scalable test management, operations, and analytics to centralize testing and orchestrate quality at speed, with visibility throughout the software development lifecycle.

Integrate the Tricentis qTest API with the Python API

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

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Create Requirement with the Tricentis qTest API

Create a new requirement. 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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Get Defect with the Tricentis qTest API

Get details of a defect. See the documentation

 
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Get Requirement with the Tricentis qTest API

Get details of a requirement. See the documentation

 
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Submit Defect with the Tricentis qTest API

Submit a new defect. See the documentation

 
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Connect Tricentis qTest

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tricentis_qtest: {
      type: "app",
      app: "tricentis_qtest",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.tricentis_qtest.$auth.qtest_base_uri}/api/v3/re-evaluation`,
      headers: {
        Authorization: `Bearer ${this.tricentis_qtest.$auth.oauth_access_token}`,
      },
      params: {
        includeInaccessibleApps: `false`,
      },
    })
  },
})

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