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Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Semaphore API lets you manage and control your CI/CD pipelines programmatically. With Pipedream's serverless platform, you can build workflows that interact with Semaphore to automate tasks such as triggering deployments, fetching the status of pipelines, and more. You can trigger these workflows on a schedule, or in response to events, using Pipedream's event sources.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
semaphore: {
type: "app",
app: "semaphore",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.semaphore.co/api/v4/account`,
params: {
apikey: `${this.semaphore.$auth.api_key}`,
},
})
},
})
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}}