AppVeyor
CI/CD service for Windows, Linux and macOS. Build, test, deploy your apps faster, on any platform.
Integrate the AppVeyor API with the Python API
Setup the AppVeyor API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate AppVeyor and Python remarkably fast. Free for developers.
Popular AppVeyor 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 AppVeyor#
The AppVeyor API grants programmatic access to AppVeyor's continuous integration and deployment services, empowering developers to trigger builds, fetch build history, deploy applications, and manage projects and account settings. With Pipedream's serverless platform, you can craft custom workflows that react to AppVeyor events or manipulate AppVeyor's pipeline dynamically, streamlining your CI/CD process by interfacing with other tools in the software development lifecycle.
Connect AppVeyor#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
appveyor: {
type: "app",
app: "appveyor",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://ci.appveyor.com/api/roles`,
headers: {
Authorization: `Bearer ${this.appveyor.$auth.bearer_token}`,
"Content-type": `application/json`,
},
})
},
})
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}}