Run Python Code with Python API on New Cloud Test Run Failed from BugBug API

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New Cloud Test Run Failed from the BugBug API

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Run Python Code with the Python API

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Getting Started#

This integration creates a workflow with a BugBug trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Cloud Test Run Failed trigger
1. Connect your BugBug account
2. Configure timer
3. Optional- Select a Test
Configure the Run Python Code action
1. Connect your Python account
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Cloud Test Run Failed on BugBug

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

Version:0.0.1

Key:bugbug-new-cloud-test-run-failed

View on GitHub

BugBug Overview#

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.

Trigger Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "bugbug-new-cloud-test-run-failed",
  name: "New Cloud Test Run Failed",
  description: "Emit new event when any test failed when running in the BugBug Cloud.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    test: {
      propDefinition: [
        common.props.bugbug,
        "test",
      ],
    },
  },
  methods: {
    ...common.methods,
    getParams() {
      return {
        test_id: this.test,
      };
    },
    getRelevantRuns(runs = []) {
      return runs.filter((run) => run.status === "failed" && run.runMode === "server");
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
BugBug	`bugbug`	`app`	This component uses the BugBug app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Test	`test`	`string`	Select a value from the drop down menu.

Trigger Authentication#

BugBug uses API keys for authentication. When you connect your BugBug account, Pipedream securely stores the keys so you can easily authenticate to BugBug APIs in both code and no-code steps.

About BugBug#

Test automation made simple and cost-effective

Action#

Run Python Code on Python

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.

Version:0.0.2

Key:python-run-python-code

View on GitHub

Python Overview#

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:

Action Code#

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};