BuildKite

Run fast, secure, and scalable CI pipelines on your own infrastructure

Integrate the BuildKite API with the Python API

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

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Get the current user with the BuildKite API

Returns basic details about the user account that sent the request

 
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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 BuildKite

The BuildKite API is a powerhouse for automating your continuous integration and delivery (CI/CD) pipelines. With it, you can trigger builds, get information on agents and artifacts, and manage your organization's setup programmatically. Pipedream leverages this API to connect BuildKite with a myriad of other services, allowing for customized workflows that go beyond the standard CI/CD process. You can automate notifications, synchronize with project management tools, or even gather analytics to optimize your build processes.

Connect BuildKite

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    buildkite: {
      type: "app",
      app: "buildkite",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.buildkite.com/v2/user`,
      headers: {
        Authorization: `Bearer ${this.buildkite.$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