CI/CD service for Windows, Linux and macOS. Build, test, deploy your apps faster, on any platform.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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.
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`,
},
})
},
})
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:
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}}