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.
Popular BugBug and Python Triggers#
Popular BugBug and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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#
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#
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}}