BugBug

Test automation made simple and cost-effective

Integrate the BugBug API with the Python API

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

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Run Python Code with Python API on New Cloud Test Run Failed from BugBug API
BugBug + Python
 
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Run Python Code with Python API on New Scheduled Run Failed from BugBug API
BugBug + Python
 
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Run Python Code with Python API on New Suite Run Failed from BugBug API
BugBug + Python
 
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New Cloud Test Run Failed from the BugBug API

Emit new event when any test failed when running in the BugBug Cloud.

 
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New Scheduled Run Failed from the BugBug API

Emit new event when any scheduled cloud run fails

 
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New Suite Run Failed from the BugBug API

Emit new event when any suite fails when running in BugBug

 
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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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Overview of BugBug

The BugBug API lets you automate and integrate your browser testing workflows. With it, you can manage tests, run them programmatically, and receive test results. By connecting the BugBug API with Pipedream, you can craft serverless workflows that trigger on various events, enabling a seamless CI/CD integration, or alerting you when your automated tests detect issues.

Connect BugBug

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bugbug: {
      type: "app",
      app: "bugbug",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.bugbug.io/api/v1/profiles/`,
      headers: {
        "Authorization": `Token ${this.bugbug.$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

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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